Add job postings generated by script

job-postings/16-03-2025/1.txt

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+About The Role
+
+We are looking for exceptional engineers to build systems for our very own employees and our customers. Our mission is to enhance Uber's corporate speed, reliability and worker happiness by building products, integrations and platforms. You will work closely with a highly capable team of engineers, data scientists, designers and product managers to ensure Uber's internal products and platforms are a powerful and innovative business advantage. The uSearch team is a part of BizTech that builds scalable, reliable, near realtime and robust enterprise integrations of a plethora of applications and services we build and use at Uber.
+
+What You'll Do
+
+Apply leading Models to solve business problems
+Use models from GPT-* to LLama-* to solve wide range of business problems from sales tech, employee productivity, coding and automation
+Build RAG frameworks 
+Build Langchain modules
+Model Development and Implementation:
+Design, develop, and deploy machine learning models to solve complex problems and improve user experiences, operational efficiency, or system performance. 
+Utilize a variety of data sources, types, and structures to extract actionable insights through predictive analytics and data mining techniques. 
+Research and Innovation:
+Stay abreast of the latest developments in the field of machine learning and artificial intelligence. Evaluate emerging trends and technologies for potential adoption to maintain and expand competitive advantage. 
+Lead research initiatives that test new algorithms, evaluate new methodologies, and explore innovative uses of data that can lead to scalable solutions. 
+Team Leadership and Development:
+Lead and mentor a team of machine learning engineers and data scientists. Ensure the continuous professional growth of team members through clear goal-setting, regular feedback, and development opportunities. 
+Foster a collaborative and inclusive team environment that encourages innovation and iterative learning. 
+Cross-Functional Collaboration:
+Work closely with product management, software engineering, and data engineering teams to integrate machine learning models into larger software systems and product offerings. 
+Partner with stakeholders across the organization to understand business needs and translate them into technical requirements and actionable machine learning projects. 
+Project Management:
+Oversee the full project lifecycle for multiple machine learning initiatives, from ideation and data collection to model development and deployment. 
+Manage resources, timelines, and risks effectively, ensuring that projects meet their objectives and are delivered on schedule. 
+Performance Monitoring and Model Optimization:
+Continuously monitor the performance of deployed models, identifying opportunities for improvement and optimization. 
+Implement robust testing and validation strategies to ensure model accuracy and reliability over time. 
+What You'll Need:
+
+Experience in applying Gen-AI/LLM in production
+Education: Bachelor's degree in Computer Science, Engineering, or a closely related field. Advanced degrees (Master's or PhD) in fields that emphasize software engineering or machine learning are preferred. 
+Professional Experience: At least 7 years of experience in software development with a proven track record in both software engineering and research or applied machine learning projects. 
+Technical Expertise:
+Expertise in programming using languages such as Python, Java, C++, or Scala. 
+Proficient with modern software engineering tools and methodologies (e.g., version control, CI/CD, agile development practices). 
+Extensive experience with machine learning libraries and frameworks like TensorFlow, PyTorch, or Keras. 
+Data Proficiency:
+Strong capabilities in handling large datasets, with skills in SQL, NoSQL databases, data modeling, and ETL processes. 
+Experience designing and implementing systems that collect, manage, and convert raw data into actionable insights through machine learning models. 
+Machine Learning Application Experience:
+Solid foundation in applying machine learning algorithms to real-world problems, optimizing algorithms for scalability and performance. 
+Hands-on experience in building, scaling, and maintaining production-level machine learning models.

job-postings/16-03-2025/10.txt

@@ -0,0 +1,55 @@
+Company
+
+Qualcomm India Private Limited
+
+Job Area
+
+Engineering Group, Engineering Group > Software Engineering
+
+General Summary
+
+Job Overview 
+
+Join a new and growing team at Qualcomm focused on advancing state-of-the-art in Machine Learning. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities and engineers them to allow the running of trained neural networks on device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. See your work directly impact billions of mobile devices around the world & also most advanced Autonomous features for AUTO industry. In this position, you will be responsible for the development of test frameworks for Qualcomm Neural Network (QNN). You will work with neural network frameworks like TensorFlow, Pytorch and develop the validation framework to gauge functionality, performance, precision, and power of QNN. You will work with the latest and greatest DNNs emerging from the research community. You will also have to keep up with the fast pace development happening in the industry and academia to continuously enhance our benchmarking and validation infrastructure from software engineering as well as machine learning standpoint.
+
+Qualifications
+
+Minimum Qualifications 
+
+Expertise in Developing test cases, automating the tests, test case execution and troubleshooting/analyzing problems
+Strong development skills in Python.
+Strong understanding of Machine learning/Deep learning workflows..
+Experience with at least one machine learning framework like TensorFlow, Pytorch, etc.
+Live and breathe quality software development with excellent analytical and debugging skills.
+Excellent communication skills (verbal, presentation, written)
+Ability to collaborate across a globally diverse team and multiple interests 8.Excellent communication skills (verbal, presentation, written), Strong problem-solving skills, Good time management skills,, excellent analytical and debugging skills, must be an effective team player, and should be self-driven.
+
+
+Preferred Qualifications
+
+Strong exposure to software testing methodologies and reporting. Experience with CI tools like Jenkins and Data visualization tools like power BI ,Tableau Development experience in Python & C++
+
+Work Experience
+
+1 to 6 years of relevant work experience in software dev/test development
+
+Requirements
+
+Educational Requirements 
+
+Master’s/Bachelor's Computer Science, Computer Engineering, or Electrical Engineering
+
+Minimum Qualifications
+
+Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
+
+
+Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
+
+Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
+
+To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
+
+If you would like more information about this role, please contact Qualcomm Careers.
+
+3072329

job-postings/16-03-2025/2.txt

@@ -0,0 +1,36 @@
+WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.
+
+WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.
+
+Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.
+
+Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.
+
+The Role: WorldQuant is seeking an exceptional individual to join the firm as an LLM Developer with a focus on Data Intelligence. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. The successful individual will design, code, test and implement proprietary Machine Learning systems and tools to drive our business strategies. You will collaborate with other teams to gather, analyze and spec out requirements, develop/test code, and manage product deliverables.
+
+What You’ll Bring
+
+Experience working with large language models such as OpenAI's GPT-4 and embedding models, as well as other NLP technologies.
+Experience with Agent development based on technologies such as Langchain or Huggingface.
+Practical experience with AI/ML platforms such as Vertex AI.
+Knowledge of vector databases (such as Pinecone, Milvus, Faiss, etc.) will be a major plus.
+A strong background in Machine Learning and Data Science.
+Familiarity with Python and common data libraries (Pandas, Numpy, etc.)
+Knowledge of cloud environments, preferably GCP.
+An eagerness to learn about new business areas and technologies.
+Strong problem-solving skills, along with clear and concise communication.
+
+What We Offer
+
+Competitive compensation package 
+Core benefits include: premium private health insurance and life insurance with savings plan 
+Support for every aspect of life through Employee Assistance Program and fully covered sick leave 
+Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences 
+Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams 
+Employee resources groups with strong diversity and inclusion culture 
+
+By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.
+
+Copyright © 2025 WorldQuant, LLC. All Rights Reserved.
+
+WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

job-postings/16-03-2025/3.txt

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+Jobbeskrivelse
+
+The Transportation Science Division at the Technical University of Denmark (DTU) invites applications for a 3-year PhD position at the intersection of Social Data Science and Computer Science. The successful candidate will join the Intelligent Transportation Systems Section and will work under the supervision of Associate Professor Carlos Lima Azevedo and Professor Sonja Haustein (Human Behaviour Section).
+
+Understanding the role of transport policies and technologies in shaping urban mobility cultures is crucial for guiding sustainable mobility transitions in European cities. This PhD project aims to map and analyse how mobility cultures vary across Europe and how they evolve over time in response to policy and technological changes.
+
+The PhD student will work on clustering cities based on mobility-related open data, including demographic trends, transport infrastructure and performance, economic indicators, and land use across time. The student will be responsible for collecting large public datasets and supporting the design of micro-surveys for large-scale deployment in multiple cities. For investigating how urban mobility cultures differ spatially and evolve in response to key urban feature changes, we will employ state-of-the-art machine learning methods to analyse high-dimensional (time series) data. For the selected candidate, there will be possibilities to influence the project and develop new project ideas within the project frame.
+
+The position involves conducting research, presenting findings at scientific conferences, writing research articles, participating in PhD courses, and gaining experience in teaching and knowledge dissemination.
+
+The PhD position is one of 13 PhD positions in the Marie Skłodowska Curie Action Doctoral Network Scheme TRANSFORM. TRANSFORM focuses on examining whether and to what extent transformative practices are effective mechanisms for activating and consolidating transitions in urban mobility cultures and their resulting socio-spatial effects. For more information on the project and the other 12 PhD positions, please visit the TRANSFORM homepage: www.transformresearch.eu.
+
+As part of the doctoral network, you will participate in a joint interdisciplinary training programme organized by the participants of TRANSFORM. This includes, e.g., summer schools with your fellow PhDs and secondment at academic and practice partners of the network.
+
+You either have a MSc background in Social Data Science, Computer Science or related areas. Besides showing experience with machine learning, including deep learning, the candidate should be able to demonstrate knowledge about human behaviour, social sciences or psychology (e.g. through courses, applications or student projects), with a preference for experience in handling large survey data.
+
+Responsibilities And Qualifications
+
+Urban mobility is a key determinant of sustainability in European cities, influencing sustainability, economic productivity, and overall quality of life and well-being. As urban areas continue to grow, cities must adopt innovative policies to support efficient and sustainable mobility systems. Mobility cultures — comprising mobility behaviours, transport infrastructure, and societal attitudes toward transportation modes — offer a crucial perspective for understanding urban mobility patterns.
+
+In this study, we introduce a comprehensive typology of mobility cultures spanning several European cities, by integrating large-scale public datasets from various social and economic sectors with machine -learning based analysis. In addition, the study will involve the design and deployment of micro-surveys at the individual level to capture behavioural and attitudinal insights on urban mobility.
+
+To process and analyse these large and complex datasets, we will explore advanced machine learning techniques, including deep-learning, transformer-based and Bayesian clustering for big data. Big data management and processing will be a critical component of the research, ensuring the efficient handling of diverse datasets and optimizing computational workflows.
+
+We explore the implications of this framework for urban planners and policymakers, examining how different mobility cultures influence travel behaviour, modal choices, and sustainability outcomes.
+
+Your Primary Tasks Will Be To
+
+Explore, develop and evaluate different machine-learning methods for defining urban mobility culture typologies
+Big Data analysis and visualizations
+Collect public data at the urban level for cities across Europe on socio-, economic-, demographic- and mobility-related indicators
+Design and support the collection and analyse large scale micro-survey data
+Analysis how different mobility cultures may vary in time, space and populations, predicting or being influenced by specific policies
+Write academic papers aimed at high-impact journals
+Participate in international conferences and workshops
+Disseminate research results and support teaching as part of the overall PhD education
+
+You Must Have a Two-year Master's Degree (120 ECTS Points) Or a Similar Degree With An Academic Level Equivalent To a Two-year Master’s Degree In Social Data Science, Computer Science Or Related Areas. Ideally, You Will Have Experience In Some Of The Following Areas
+
+Strong foundation in statistical analysis
+Working with machine-learning (such as GNN, deep-learning, transformers, etc.)
+Visualising data efficiently and clearly
+Working with databases
+Large-scale data collection using surveys
+Curiosity and interest in behaviour research
+Interest in transport and mobility research and policies
+Strong English communication and interpersonal skills, with the ability to work in a multidisciplinary team
+Enthusiasm to engage in group-work with a multi-national team
+Ability to work both independently and as part of a team
+
+You are an ambitious, self-organized individual with strong project management and communication skills. Proficient English language skills are required.
+
+Approval and Enrolment
+
+The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education.
+
+Mobility
+
+The Mare Sklodowska-Curie Doctoral Network aims to increase mobility for students and therefore only accept students who have not lived more than 12 of the last 36 months in the country to which they apply. You can find more information here: https://marie-sklodowska-curie-actions.ec.europa.eu/actions/doctoral-networks.
+
+Assessment
+
+The review of applications and interviews are expected to take place during June 2025.
+
+We offer
+
+DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.
+
+Salary and appointment terms
+
+The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.
+
+The period of employment is 3 years. The starting date is the 1st of September 2025 or by mutual agreement. The position is a full-time position.
+
+The post is offered under the conditions of the Marie Skłodowska Curie Action Doctoral Network Scheme and therefore attracts a salary that is determined by the regulations of this scheme. This minimum salary approximately equates to 49.678 € per year (pre-tax and social security), depending on the chosen candidate’s seniority.
+
+You can read more about career paths at DTU here.
+
+Further information
+
+Further information may be obtained from Associate Professor Carlos Lima Azevedo ([email protected]) or Professor Sonja Haustein ([email protected]).
+
+You can read more about DTU Management at www.man.dtu.dk/english.
+
+If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark. Furthermore, you have the option of joining our monthly free seminar “PhD relocation to Denmark and startup “Zoom” seminar” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU.
+
+Application procedure 
+
+Your complete online application must be submitted no later than 31 May 2025 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:
+
+A letter motivating the application (cover letter)
+Curriculum vitae 
+Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale
+
+You may apply prior to ob­tai­ning your master's degree but cannot begin before having received it.
+
+Applications received after the deadline will not be considered.
+
+All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position.
+
+About The Department
+
+DTU Management conducts excellent research at the intersection of management, technology and economics. We develop solutions in close cooperation with companies and public authorities. Our research aims at strengthening welfare, productivity and sustainability. A key element is the role of technology and its interaction with industry and individuals. The department offers a wide range of courses and programs at bachelor, master, and PhD levels across DTU's study programs. The department has 200+ employees with around half of staff coming from abroad.
+
+Technology for people
+
+DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.

job-postings/16-03-2025/4.txt

@@ -0,0 +1,76 @@
+Responsibilities
+
+TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
+
+Why Join Us
+
+Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
+
+Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
+
+To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
+
+At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
+
+Join us.
+
+About The Team
+
+The TikTok Video Recommendation Global Algorithm team plays a central role in the company, responsible the personalized recommendation algorithm for Global (Non-US) users, driving critical product decisions and platform growth The team is made up of global machine learning researchers and engineers, who support and innovate in deep learning, production recommendation models ,and large models to continuously transform and enhance the TikTok user experience and content ecosystem.
+
+The team is fast-paced, collaborative, and impact-driven. We have teams dedicated to working on core recommendations, including User Growth, Lemon8, Social, Content Ecosystem Team, In addition, we also explore Foundation Model Applications using cutting-edge technology.
+
+We're looking for Senior Machine Learning Engineers to join the team.
+
+By participating the General Hire , you will have the opportunity to communicate with teams in various business line and choose the team you're most interested in.
+
+Responsibilities:
+
+Responsibilities:
+
+Build industry-leading recommendation system, improving user experience, content ecosystem and platform security;
+Deliver end-to-end machine learning solution to address critical product challenges;
+Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance.
+Work with cross functional teams to design product strategies and build solutions to grow TikTok in global markets
+
+Qualifications
+
+Minimum Qualifications:
+
+BS degree or equivalent degree with a background in computer science, machine learning, or similar fields.
+3+ years Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product;
+Proficient in C/C++, Python and have a deep understanding of data structure and algorithm design.
+Solid knowledge and experience with at least one popular deep learning framework (e.g., PyTorch, TensorFlow).
+Experience with development tools (e.g. Git, Docker, JIRA etc.)
+Good written and verbal communication skills.
+
+Preferred Qualifications:
+
+Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product;
+Deep knowledge and practical experience in the following fields: deep machine learning models and large-scale recommendation systems.
+Hands-on experience with data preprocessing, feature engineering, and exploratory data analysis.
+Passion about techniques and solving challenging problems.
+
+TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
+
+TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2
+
+Job Information
+
+【For Pay Transparency】Compensation Description (Annually)
+
+The base salary range for this position in the selected city is $194000 - $355000 annually.
+
+Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
+
+Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
+
+The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
+
+For Los Angeles County (unincorporated) Candidates:
+
+Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
+
+Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
+Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
+Exercising sound judgment.

job-postings/16-03-2025/5.txt

@@ -0,0 +1,74 @@
+Responsibilities
+
+TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
+
+Why Join Us
+
+Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
+
+Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
+
+To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
+
+At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
+
+Join us.
+
+About The Team
+
+The TikTok Video Recommendation Global Algorithm team plays a central role in the company, responsible the personalized recommendation algorithm for Global (Non-US) users, driving critical product decisions and platform growth The team is made up of global machine learning researchers and engineers, who support and innovate in deep learning, production recommendation models ,and large models to continuously transform and enhance the TikTok user experience and content ecosystem.
+
+The team is fast-paced, collaborative, and impact-driven. We have teams dedicated to working on core recommendations, including User Growth, Lemon8, Social, Content Ecosystem Team, In addition, we also explore Foundation Model Applications using cutting-edge technology.
+
+We're looking for Machine Learning Engineers to join the team.
+
+By participating the General Hire , you will have the opportunity to communicate with teams in various business line and choose the team you're most interested in.
+
+Responsibilities:
+
+Build industry-leading recommendation system, improving user experience, content ecosystem and platform security;
+Deliver end-to-end machine learning solution to address critical product challenges;
+Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance.
+Work with cross functional teams to design product strategies and build solutions to grow TikTok in global markets.
+
+Qualifications
+
+Minimum Qualifications:
+
+BS degree or equivalent degree with a background in computer science, machine learning, or similar fields.
+At least one year Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product;
+Proficient in C/C++, Python and have a deep understanding of data structure and algorithm design.
+Solid knowledge and experience with at least one popular deep learning framework (e.g., PyTorch, TensorFlow).
+Experience with development tools (e.g. Git, Docker, JIRA etc.)
+Good written and verbal communication skills.
+
+Preferred Qualifications:
+
+Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product;
+Deep knowledge and practical experience in the following fields: deep machine learning models and large-scale recommendation systems.
+Hands-on experience with data preprocessing, feature engineering, and exploratory data analysis.
+Passion about techniques and solving challenging problems.
+
+TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
+
+TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2
+
+Job Information
+
+【For Pay Transparency】Compensation Description (Annually)
+
+The base salary range for this position in the selected city is $145000 - $250000 annually.
+
+Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
+
+Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
+
+The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
+
+For Los Angeles County (unincorporated) Candidates:
+
+Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
+
+Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
+Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
+Exercising sound judgment.

job-postings/16-03-2025/6.txt

@@ -0,0 +1,51 @@
+FM is a leading property insurer of the world's largest businesses, providing more than one-third of FORTUNE 1000-size companies with engineering-based risk management and property insurance solutions. FM helps clients maintain continuity in their business operations by drawing upon state-of-the-art loss-prevention engineering and research; risk management skills and support services; tailored risk transfer capabilities; and superior financial strength. To do so, we rely on a dynamic, culturally diverse group of employees, working in more than 100 countries, in a variety of challenging roles.
+
+As a Senior Machine Learning Engineer, you will be a key member of our Data Science team, focusing on translating business needs into actionable analytics and advanced AI solutions. This role offers the opportunity to innovate, explore, and build solutions for FM using emerging technologies.
+
+Responsibilities
+
+Engineer and optimize machine learning models for deployment in production environments.
+Develop and deploy machine learning and AI models on cloud platforms.
+Collaborate with Data Scientists, ML Ops Engineers, and Data Engineers to deliver scalable solutions to business problems in property insurance.
+Partner with ML Platform, Data Delivery, and Product teams to ensure smooth deployment and monitoring.
+Coach the team on MLOps best practices to ensure stability and scalability in ML projects.
+Conduct thorough testing to ensure model reliability and performance.
+Maintain reproducibility and consistency of experiments across different environments.
+Implement and manage version control and code management practices for models and data.
+Monitor model performance in production and address any issues promptly, including responding to urgent support tickets. 
+
+Your projects will be interesting, exciting, and challenging! You will use your skills to advance the mission and goals of FM.
+
+Basic Qualifications
+
+Bachelor’s degree in data science, Machine Learning, Computer Science, Software Engineering, Statistics, or a related field.
+8+ years of experience in end-to-end data science/ML product development.
+3+ years of experience leading data science/ML product development.
+Experience with MLflow and ML platforms such as Databricks.
+Proficiency in Python or R.
+Experience in risk management and/or property insurance is strongly preferred.
+
+Preferred Qualifications
+
+Advanced degree in one of the fields listed above.
+8+ years of experience in end-to-end data science/ML product development.
+3+ years of experience leading data science/ML product development.
+Advanced knowledge and working experience in at least one of the following areas:
+Generalized Linear Models (Logistic Regression, Zero-Inflated Models, etc.)
+Model Regularization
+Probability Distributions
+Hypothesis Testing
+Statistical Inference
+Machine Learning (Random Forest, Clustering, Gradient Descent, Gradient Boosting, etc.)
+Simulation
+Experiment Design
+Non-Parametric Statistics
+Experience in risk management and/or property insurance is strongly preferred.
+
+Qualified candidates will be considered for a Machine Learning Engineer or a Senior Machine Learning Engineer role.
+
+The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM’s comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more.
+
+FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.
+
+#FMG

job-postings/16-03-2025/7.txt

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+Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.
+
+Role
+
+The Field Application Engineer (FAE) will work closely with Business Development, Product, and Engineering to provide pre-and post-sales technical customer support. This position requires excellent customer communication and troubleshooting skills to conduct remote and on-site training and product presentations. This position is a technical position that will require additional skills such as system debugging, coding, scripting. Candidates are expected to work independently and acquire expert-level skills with the in-house built product line including HPC Hardware (IP, Chips, Boards), SDK, Algorithms (NN, DSP, Vision, Path Planning, etc.).
+
+Responsibilities
+
+Work with Business Development to sell the technology from quadric.io
+Work with customers to install SDK and algorithms and analyze customer systems to determine the best HW/SW solutions for their system.
+Analyze technological problems brought in by customers and communicate with engineering for the best solution..
+Work with business development to prepare technical proposals and statements of work, working with the customer to gather requirements.
+Set up regular technical discussions with customers to help them understand quadric deliverables and resolving customer issues with engineering support as well as conduct regular follow-up and monitoring.
+Deliver periodic training sessions
+Coordinate with the Sales and Engineering team in designing proper application systems and formulating the product specifications according to the customer's needs.
+Interface with product marketing and engineering
+Conduct project feasibility studies
+Some travel required
+
+Requirements
+
+Bachelor’s in computer science and/or Electronics Engineering field. 
+Minimum 3+ years experience working with customers/business development supporting SDKs. 
+Must be able to demonstrate basic knowledge of software perception systems, and/or Computer Vision. 
+Proficiency in Python.
+Experience describing, building, running and deploying Docker containers.
+Experience with Linux or Unix based operating systems.
+Experience with at least one of the following neural network / machine learning frameworks: PyTorch, Tensorflow, Tensorflow-Lite.
+Experience quantizing, running and debugging neural networks with ONNX runtime a plus.
+Experience supporting parallel C / C++ languages a plus (CUDA, OpenVX, NEON, etc.)
+Solid understanding of intermediate git concepts such as branching, rebasing, merge conflict resolution, etc.
+Ability to methodically debug problems, relay information to the engineering team, and test and deploy system updates and upgrades. 
+
+Benefits
+
+Health Care Plan (Medical, Dental & Vision)
+Retirement Plan (401k, IRA)
+Life Insurance (Basic, Voluntary & AD&D)
+Paid Time Off (Vacation, Sick & Public Holidays)
+Family Leave (Maternity, Paternity)
+Short Term & Long Term Disability
+Training & Development
+Work From Home
+Free Food & Snacks
+Stock Option Plan

job-postings/16-03-2025/8.txt

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+Para qual empresa estamos trabalhando?
+
+Se você deseja fazer parte de projetos que utilizam tecnologias de ponta, transformando #inovação em realidade, seu lugar é com a gente!
+
+Na Mobit Tecnologia você encontrará um ambiente que valoriza feedback, equipes de alta performance, aprendizado contínuo e cultura de #colaboração entre os times, pois aqui temos #focoempessoas. Juntos criamos soluções inteligentes com #focoemresultados para sustentabilidade do negócio.
+
+Nosso propósito é promover o bem-estar da sociedade preservando vidas.
+
+O que você irá fazer?
+
+Desenvolver, treinar, implementar e monitorar modelos avançados de Visão Computacional, incluindo redes neurais convolucionais, modelos de segmentação, detecção e classificação.
+Otimizar modelos de aprendizado profundo para reduzir latência e consumo de recursos.
+Garantir a implantação de modelos em diferentes plataformas (nuvem, edge devices, etc).
+Monitorar o desempenho dos modelos em produção e implementar melhorias contínuas.
+Resolver problemas relacionados a desempenho e precisão dos modelos.
+Documentar código, pipelines e experimentos realizados.
+Treinar e acompanhar membros da equipe mais juniores, compartilhando conhecimentos e boas práticas.
+
+O que você precisa ter?
+
+Programação avançada em Python (3.6 ou superior) e C/C++ (11 ou superior).
+Conhecimento em padrões de projeto, TDD, testes automatizados e boas práticas de código (PEP8 e Google C++ Style Guide).
+Experiência com modelagem em Visão Computacional e otimização de modelos de aprendizado profundo.
+Monitoramento e melhoria contínua de modelos em produção.
+Documentação de processos e fluência em inglês intermediário para consulta de literatura.
+
+Diferenciais Desejáveis
+
+Experiência com ferramentas de rastreamento de modelos (Neptune, MLflow, Apache Airflow) e desenvolvimento de APIs (FastAPI, Flask, Streamlit).
+Conhecimento em técnicas de redução de dimensionalidade, otimização de hiperparâmetros e MLOps (Jenkins, GitHub Actions, Kubeflow).
+Familiaridade com sistemas distribuídos e cloud (AWS, GCP, Azure) e integração de grandes volumes de dados (Apache Spark, Hadoop).
+
+O que a empresa oferece?
+
+Um ambiente que valoriza feedbacks;
+Cultura de colaboração entre os times;
+Equipe de alto nível e aprendizado contínuo;
+Plano de saúde e odontológico;
+Cartão benefício / Auxílio home-office.
+Bônus por indicação.
+Convênio com instituições de ensino.
+
+Informações adicionais
+
+Modelo de contrato: CLT ou PJ
+Modelo atuação: híbrido - Fortaleza/CE

job-postings/16-03-2025/9.txt

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+True Zero Technologies, a veteran-owned small business, was founded on the principle that the purposeful enablement of people and technology in an organization directly ties to the quality of its outcomes. True Zero recognizes that said outcomes begin and end with our people, and that is what we have built, a community of like-minded, driven, and passionate individuals and innovators who are aligned in a common goal of delivering top tier services to our customers. In 2023, True Zero was recognized as a “Best Places to Work” in two categories ("Prosperous and Thriving" ($5MM – $50MM in gross revenue) and "Mid-Atlantic Region" (DC, DE, MD, NC, VA, WV)) and in 2022, was recognized as one of Inc. Magazine’s Top 5000 Fastest Growing Companies.
+
+True Zero Technologies is looking for qualified candidates to fulfill the role of Senior AI/ML Engineer
+
+Job Description
+
+As a Senior AI/ML Engineer, you should possess solid industry experience in the public sector and/or commercial spaces; relevant technical certifications; and proven experience implementing and optimizing AI/ML solutions. You should have experience with both traditional ML algorithms and modern generative AI systems, particularly Large Language Models (LLMs). This position requires strong technical, communications, and problem-solving skills, and the ability to engage and interact with numerous teams. The ideal candidate will have a passion for delivering innovative AI solutions, the ability to think outside of the box, and be attentive to detail. Candidates should possess the following qualifications and be able to demonstrate deep competency in most of the requirements listed below:
+
+Qualifications / Requirements
+
+Experience: Minimum 5 years in AI/ML engineering, conducting model development, evaluation, and deployment
+Citizenship: U.S. citizenship required; willing to undergo U.S. Government background investigation
+Technical Proficiency: Experience with PyTorch, TensorFlow, Keras, Hugging Face, LangChain, OpenAI API, and cloud platforms
+Data Management: Experience with vector databases (Pinecone, Weaviate, Qdrant, Chroma) and RAG architectures
+GenAI Expertise: Advanced prompt engineering, LLM fine-tuning, and hands-on experience with GenAI tools (GPT, DALL-E)
+Evaluation: Experience in model evaluation, monitoring, validation, benchmarking, and deployment
+Methodologies: Strong understanding of AI frameworks, deep learning architectures, and supervised/unsupervised learning
+Governance: Familiarity with NIST AI RMF, AI Executive Order, ethical principles, and security best practices
+Communication: Excellent written and verbal skills to convey technical information to diverse audiences
+Testing: Experience with multimodal models, retrieval systems, agent frameworks, and A/B testing
+Education: Bachelor's Degree in Computer Science, Data Science, Engineering, or related field preferred
+Possess three or more of the following: 
+AWS Certified Machine Learning – Specialty
+Microsoft Certified: Azure AI Engineer Associate
+Google Cloud Professional Machine Learning Engineer
+TensorFlow Developer Certificate
+IBM AI Engineering Professional Certificate
+Certified AI Practitioner (CAIP)
+NVIDIA Deep Learning Institute (DLI) Certification
+Certified AI Ethics and Governance Professional (CAEGP)
+
+
+Responsibilities
+
+Model Development: Implement, optimize, and fine-tune GenAI and traditional ML algorithms to meet performance standards
+RAG Expertise: Design, develop, and implement RAG systems for unstructured data analysis
+Technical Leadership: Lead AI/ML projects with focus on GenAI/LLM implementations and emerging technologies
+Performance Management: Monitor, evaluate, and improve model performance; identify optimization opportunities
+Tool Utilization: Leverage common AI/ML tools (AWS Bedrock, TensorFlow, PyTorch) and custom frameworks for specialized applications
+Governance & Risk: Assess model risks, biases, and vulnerabilities according to responsible AI guidelines and regulatory requirements
+Integration: Work with cross-functional teams to integrate AI/ML solutions into broader systems
+Reporting: Deliver technical reports on model performance and actionable recommendations
+Client Collaboration: Engage with clients and stakeholders throughout project lifecycle
+Team Development: Coach, mentor junior AI/ML team members; provide professional development
+MLOps: Implement practices to automate model deployment, monitoring, and lifecycle management
+Security & Privacy: Ensure solutions comply with 2025 regulatory standards and security requirements
+
+
+We’re actively searching for talented security and technology practitioners who are ready to experience the True Zero difference. As a True Zero team member, you'll enjoy:
+
+Competitive salary, paid twice per month
+Best in class medical coverage
+100% of medical premiums covered by True Zero
+Company wide new business incentive programs
+Contribution Incentives (i.e. white papers, blog posts, internal webinars, etc.)
+3 weeks of PTO starting + 11 Paid Holidays Annually
+401k Program with 100% company match on the first 4%
+Monthly reimbursement of Cell Phone and Home Internet costs
+Paternity/Maternity Leave
+Investment in training and certifications to broaden and deepen your technical skills