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job-postings/09-03-2025/1.txt

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+About The Role
+
+Customer Obsession AI team's mission is to transform customer support by creating highly efficient and magical support experiences for Uber customers by leveraging the power of data and AI. We specialize in NLP, GenerativeAI and Computer Vision. We are building autonomous GenAI Conversational Assistants for customer support and Agent Co-pilot systems that can provide intelligent, personalized and empathetic support. We are solving challenges such as multilingual (80+ languages) and multi-modal (images + text for now and in future voice) conversational intelligence, autonomous reasoning and policy-adherence, and AgenticAI. We are a full-stack AI team working on LLM research, rapid model prototyping, robust evaluation and monitoring systems, and reliable infrastructure for deployment at Uber scale.
+
+\\-\\-\\-\\- What You Will Do ----
+
+Design and implement machine learning models and algorithms for customer support use cases.
+Apply advanced statistical and machine learning techniques to generate insights and improve customer support experience.
+Define success metrics and develop dashboards to monitor and visualize the performance of ML models in production.
+Work closely with cross-functional teams, including Product, Engineering, and Data Science, to translate business requirements into ML solutions.
+Mentor and provide technical guidance to junior ML engineers and data scientists.
+Stay up-to-date with the latest research and advancements in machine learning, generative AI.
+
+\\-\\-\\-\\- Basic Qualifications ----
+
+Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, Data Science, ML, Statistics, or other quantitative fields.
+Proven experience with designing and implementing machine learning models in production environments applied to generative AI, applications of large language models.
+Proficiency in using Python for developing ML models and handling large-scale data sets.
+Hands-on experience with building batch data pipelines.
+
+\\-\\-\\-\\- Preferred Qualifications ----
+
+PhD in Computer Science with a focus on Machine Learning.
+Experience with the latest NLP and Generative AI technologies.
+2 years of software engineering experience.
+
+For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.
+
+For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.
+
+For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [](;br>
+
+Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](;br>
+
+Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

job-postings/09-03-2025/10.txt

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+Skill: at least 3 years of experience on the following:
+Machine Learning - Decision Trees, Random Forests, Rule Mining, Clustering, PCA, Support Vector Machine, Ensemble techniques
+Deep Learning - Neural networks, multilayer perceptron, word embeddings, categorical embedding, RNN and LSTM, word2vec, encoder/decoder models, attention and transformer models, transfer learning (ULMFiT), foundation models from Azure Open AI
+Database - Snowflake, Oracle, Graph database
+Programming & Scripting - Python, R, Unix-Shell scripting, PySpark

job-postings/09-03-2025/2.txt

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+Interested in joining a dynamic remote first engineering team in a fast-paced environment full of greenfield problem-solving? Then Capital One Shopping might be the place for you. Join us in supporting a growth-stage line of business with a startup mindset as we build technology to save our customers money. 
+
+As a Capital One Machine Learning Engineer (MLE), you'll be part of a fast moving, highly collaborative Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll drive and deliver the detailed technical designs, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll be a leader of machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll contribute to researching our next generation of models and recommendation systems to deliver value to our customers. You’ll mentor junior developers and serve as a technical bridge between product partners. You will use tools like Docker, Nomad, SQL, Python, Pytorch, Transformers, language models, and other statistical tools.
+
+This is more than just a job; it's an opportunity to be part of a collaborative and forward-thinking community, where your contributions will make a significant impact in an ever-dynamic tech landscape. Join us as we push boundaries and redefine the future of our industry.
+
+What you’ll do in the role: 
+
+The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
+Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. 
+Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). 
+Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. 
+Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. 
+Retrain, maintain, and monitor models in production. 
+Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. 
+Construct optimized data pipelines to feed ML models. 
+Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. 
+Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. 
+Use programming languages like Python, Scala, or Java. 
+Design and research new models using data scientist experience/expertise
+
+Basic Qualifications:
+
+Bachelor’s degree 
+At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) 
+At least 4 years of experience programming with Python, Scala, or Java 
+At least 2 years of experience building, scaling, and optimizing ML systems 
+
+Preferred Qualifications:
+
+Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 
+3+ years of experience building production-ready data pipelines that feed ML models 
+3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 
+2+ years of experience developing performant, resilient, and maintainable code 
+2+ years of experience with data gathering and preparation for ML models 
+
+At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization).
+
+The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
+
+Remote (Regardless of Location): $175,800 - $200,700 for Lead Machine Learning Engineer
+
+Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer
+
+Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
+
+This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
+
+Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
+
+This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
+
+If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
+
+For technical support or questions about Capital One's recruiting process, please send an email to [email protected]
+
+Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
+
+Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

job-postings/09-03-2025/3.txt

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+Welcome To The World Of Whizdom !
+
+Offre d'emploi pour un CDI : Développeur Machine learning (ML) 
+
+WHIZE est spécialisée dans le développement de solutions sur mesure en architecture Serverless (Azure, AWS) et de solutions basées sur l'écosystème Microsoft 365 (SharePoint, Teams, Power Platform).
+
+Vos missions :
+Développement d’application en lien avec l’exploitation de modèles de types machine learning : prédictions de consommation, maintenance prédictive de nos infrastructures (canalisations, compresseurs, station rebours…), optimisation de stock de matériel, analyses tarifaires, prévention des accidents de personnes et incidents matériels
+Développement d’applications permettant aux utilisateurs finaux d’utiliser les modèles LLM pour des cas d’usage de type Chatbot, RAG, synthèse documentaire, l’analyse de documents et d’images, de la génération de texte ou d’image
+
+Profil recherché :
+Connaissance des modèles de langage (LLM) comme GPT, BERT, etc.
+Développement d’applications qui intègrent des modèles LLM.
+Compétences en développement principalement en langage Python, mais des compétences dans d'autres langages tels que Java, C++ ou JavaScript sont également valorisées.
+Intelligence Artificielle et Machine Learning : Expérience avec des frameworks Data science comme Scikit Learn.
+Bases de Données : Compétence en gestion de bases de données SQL et NoSQL.
+Environnement Cloud AWS ou Azure.
+
+Qu’attendez vous pour nous rejoindre ?
+Vous ferez partie d’une société à taille humaine et qui bénéficie des avantages d'un grand groupe. Nous adressons une centaine de clients en direct dont la moitié sont des grands comptes.
+Vous serez accompagné(e) et managé(e) par le CEO de WHIZE (THE WHIZE MAN).
+Vous allez compléter notre équipe dynamique et travailler avec nous dans une ambiance Start-up et conviviale.
+Vous occuperez des postes intéressants et évolutifs.
+Vous bénéficierez des évènements internes organisés pour parler tech, business et projets.
+Vous réaliserez des projets à forte valeur ajoutée.
+
+
+📍 : Neuilly-Sur-Seine+ Télétravail

job-postings/09-03-2025/4.txt

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+Responsibilities
+About Bytedance 
+Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content. 
+
+Why Join Us
+Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us. 
+
+Team Intro 
+The ByteDance Large Model Team is committed to developing the most advanced AI large model technology in the industry, becoming a world-class research team, and contributing to technological and social development. The Large Model Team has a long-term vision and determination in the field of AI, with research directions covering NLP, CV, speech, and other areas. Relying on the abundant data and computing resources of the platform, the team has continued to invest in relevant fields and has launched its own general large model, providing multi-modal capabilities. 
+
+The Machine Learning (ML) System sub-team combines system engineering and the art of machine learning to develop and maintain massively distributed ML training and Inference system/services around the world, providing high-performance, highly reliable, scalable systems for LLM/AIGC/AGI
+
+In our team, you'll have the opportunity to build the large scale heterogeneous system integrating with GPU/NPU/RDMA/Storage and keep it running stable and reliable, enrich your expertise in coding, performance analysis and distributed system, and be involved in the decision-making process. You'll also be part of a global team with members from the United States, China and Singapore working collaboratively towards unified project direction.
+
+Responsibilities:
+1. Responsible for ensuring our ML systems are operating and running efficiently for large model development, training, evaluation, and inference
+2. Responsible for the stability of offline tasks/services in multi-data center, multi-region, and multi-cloud scenarios
+3. Responsible for resource management and planning, cost and budget, including computing and storage resources
+4. Responsible for global system disaster recovery, cluster machine governance, stability of business services, resource utilisation improvement and operation efficiency improvement
+5. Build software tools, products and systems to monitor and manage the ML infrastructure and services efficiently
+6. Be part of the global team roster that ensures system and business on-call support
+
+Qualifications
+Minimum Qualifications:
+- Bachelor's degree or above, major in computer science, computer engineering or related
+- Strong proficiency in at least one programming language such as Go/Python/Shell in Linux environment
+- Strong hands-on experience with Kubernetes and containers skills, and have more than 2 years of relevant operation and maintenance experience
+- Possess excellent logical analysis ability, able to reasonably abstract and split business logic
+- Have good documentation principles and habits to be able to write and update workflow and technical documentation as required on time
+- Possess a strong sense of responsibility, good learning ability, communication ability and self-drive, good team spirit
+
+Preferred Qualifications
+- Engaged in the operation and maintenance of large-scale ML distributed systems
+- Experience in operation and maintenance of GPU servers
+
+ByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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.
+
+ByteDance Inc. 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 $184300 - $337250 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:
+1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
+2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
+3. Exercising sound judgment.

job-postings/09-03-2025/5.txt

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+Responsibilities
+About TikTok
+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 products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, 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 users we serve. Join us.
+
+TikTok-Data Video Recommendation Team is responsible for the personalized recommendation algorithms for TikTok's hundreds of millions of global users. Here, you will collaborate with top algorithm engineers in the industry, leveraging your expertise in deep learning, recommendation algorithms, and large models to continuously transform and enhance the TikTok user experience and content ecosystem.
+In particular, the local service recommendation team focuses on targeting user experience and transaction scale optimization for lifestyle service content, including hotels, travel, dining, and more. This role aims to pioneer new content and revenue streams for the company.
+
+About TikTok Location Products
+We creatively connect various products and services related to life through various products such as Points of Interest (POI), videos, LIVE, and search, making users' daily life experiences richer, more unique, and innovative. At the same time, we will also create a business environment which is inclusive, fair, and healthy, helping businesses, service providers, creators, and other stakeholders to continuously generate more income and improve service efficiency. We firmly believe that through innovation and efforts in life services, we can jointly shape a better and more fulfilling life.
+
+Responsibilities:
+1. Responsible for developing transaction recommendation algorithms for international local services. Collaborate with the team to build an industry-leading recommendation system, accurately recommending local service products to hundreds of millions of global users, increasing transaction volume, and enhancing the user transaction experience.
+2. Proficient in core algorithms related to recommendations, with a deep understanding of machine learning, deep learning, and LLM algorithms applied in video, live streaming, geographic location, and product recommendation systems. Optimize recall strategies, model architectures, and multi-objective optimization mechanisms to improve recommendation efficiency and accuracy.
+3. Drive the integration of local service transaction optimization with industry knowledge. Conduct in-depth analysis of the characteristics of the local services industry, focusing on typical domains such as hotels, travel, and dining. Combine industry knowledge with recommendation algorithms to enhance user transaction experiences, improve conversion efficiency, and facilitate scalable growth of GMV in local services.
+4. Optimize user transaction and decision-making experiences. Conduct in-depth research on user discovery behaviors, leveraging data mining and analytical techniques to improve user interactions during transactions and overall experience. Strengthen user trust and loyalty to the platform.
+
+Qualifications
+Minimum Qualifications:
+1. Master's degree or above in computer science or a related field.
+2. Strong programming skills with a solid foundation in machine learning/deep learning; candidates with experience in recommendation systems, computational advertising, search engines, or LLM-related fields will be preferred.
+3. Passionate about recommendation algorithms and machine learning, with a willingness to learn, think critically, delve deeply, and innovate.
+4. Excellent problem analysis and solving skills, along with strong communication abilities and a collaborative team spirit.
+
+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.

job-postings/09-03-2025/6.txt

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+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. 
+
+Our Trust and Safety team is fast growing and responsible for building machine learning models and systems to protect our users from the impact of negative content. Our mission is to protect billions of users and publishers across the globe every day. We embrace state-of-the-art machine learning technologies and scale them to moderate the tremendous amount of data generated on the platform. With our team's continuous efforts, TikTok can provide the best user experience and bring joy to everyone in the world.
+
+We are looking for excellent machine learning engineers who can take the initiative, design and develop advanced machine learning solutions, and deploy them directly to TikTok's global platform. A successful candidate will have machine learning expertise and good software engineering experience. You will take pride in working with engineers, product managers, and business partners to identify and solve the most challenging safety and integrity problems on the internet scale.
+
+Responsibilities - What You'II Do 
+- Work on state-of-the-art content understanding techniques including but not limited to unimodal/multimodal content classifiers, Active-learning models, Reinforcement learning models, and Large Language Models.
+- Deep understanding of TikTok moderation system and propose optimized method on current moderation system.
+- Collaborate with product teams to define business objectives and improve trust and safety strategy.
+- Collaborate with engineering teams to deploy machine learning models, design online model workflow, and implement serving pipelines at scale. 
+- Collaborate with the data scientist team to understand the key challenges and propose data-driven strategies.
+
+Qualifications
+Minimum Qualifications:
+- BS/MS degree in Computer Science, Electrical Engineering, Operation Research, Applied Mathematics or similar quantitative fields.
+- Hands-on experience in one or more of the following areas: machine learning (CV/NLP/Multimodal), active learning, Large Language Models, Recommendation Systems, and related areas
+- Strong coding skills, especially in Python and similar languages.
+- Curiosity towards new technologies and entrepreneurship, good communication and teamwork skills.
+
+Preferred Qualifications:
+- Minimum of 1 year of related experience.
+- Experience in Large Language Models, multimodal modeling, Active learning, and Reinforcement learning.
+- Publications in top AI/ML conferences are a plus.
+- Understanding of the recommendation system or moderation system.
+- Experience in developing online ML systems including ranking, and retrieval.
+
+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 $137750 - $237500 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:
+1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
+2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
+3. Exercising sound judgment.

job-postings/09-03-2025/7.txt

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+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. 
+
+Our Trust and Safety RD team is fast-growing and responsible for building machine learning models and systems to identify and defend internet abuse and fraud on our platform. Our mission is to protect billions of users and publishers across the globe every day. We embrace state-of-the-art machine learning technologies and scale them to detect and improve the tremendous amount of data generated on the platform. With the continuous efforts of our team, TikTok can provide the best user experience and bring joy to everyone in the world.
+
+We are looking for people like you with solid experience in designing and deploying state-of-the-art models in the combination of NLP and CV-related areas. This position will work with a team of excellent research scientists and machine learning engineers who can take initiative, design and develop advanced machine learning solutions, and deploy them directly to TikTok's global platform. 
+
+Responsibilities - What You'II Do
+- Responsible for a whole sub-module in moderation system or a research direction including but not limited to LLM and application in Safety, moderation system iteration.
+- Work with team members to design next-generation moderation systems with new technologies.
+- Work on Neural Network models and LLM-based models to solve TikTok online safety problems.
+- Work with engineering teams to implement model pipelines and deploy the service at scale.
+- Collaborate with the product team to define objectives and improve trust and safety strategy.
+- Collaborate with data analysis to understand and find data patterns.
+
+Qualifications
+Minimum Qualifications:
+- Minimum of 3 years experience in one or more of the areas: machine learning, deep learning, computer vision, content understanding.
+- BS/MS degree in Computer Science, Electrical Engineering, Operation Research, Applied Mathematics or similar quantitative fields.
+- Skilled in deep learning model training(CV/NLP/NN), serving, and optimization. 
+- Proficient in deep learning frameworks such as PyTorch and TensorFlow.
+- Hands-on experience in one or more of the following areas: machine learning (CV/NLP/Multimodal), active learning, Large Language Models, Recommendation Systems, and related areas.
+- Strong coding skills, especially in Python and similar languages.
+- Good communication and teamwork skills, passionate about learning new techniques and taking on challenging problems.
+
+Preferred Qualifications:
+- Experienced in large-scale online machine learning platforms is preferred.
+- Experiences in active learning, reinforcement learning, and LLM are a plus.
+- Experience in trust and safety areas is a plus.
+
+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 $184300 - $337250 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:
+1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
+2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
+3. Exercising sound judgment.

job-postings/09-03-2025/8.txt

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+About Influur
+
+Influur is the first startup that works as an app-based marketplace by directly creating jobs for Influencers, Creators, and Brands around the world. The company was born from the communication struggles between influencers and brands, an experience that like many others, our founding team had at some point in their careers. We have created a streamlined solution built from the influencer perspective, making Influur the first platform where influencers feel they belong in a professional space.
+
+At Influur, our leadership team loves working side by side with our team, providing unique opportunities to grow and develop, professionally and personally. Also, since day one, we have been truly people oriented as we understand the value of co-creating while offering a unique employee experience.
+
+The Role 
+
+We are seeking a highly skilled and motivated Machine Learning Engineer to join our team. As our first dedicated MLE, this role requires a self-driven individual with exceptional leadership and communication abilities. You will be responsible for designing, implementing, and deploying ML models that directly impact our product and customers, collaborating closely with cross-functional teams to drive data-driven decision-making and innovation.
+
+Key Responsibilities
+
+Design, develop, and deploy machine learning models to improve influencer-brand matching, content recommendations, and other core platform features.
+Build scalable and production-ready ML pipelines that support real-time and batch processing.
+Ensure model accuracy, performance, and robustness through rigorous testing and evaluation.
+Work closely with product managers, engineers, and data scientists to define ML objectives and integrate models into our platform.
+Lead ML initiatives and evangelize best practices across the organization.
+Support in the recruiting process of future ML hires.
+Provide mentorship and guidance to future ML hires.
+Partner with data engineers to ensure the availability of high-quality training data.
+Analyze large-scale influencer marketing data to uncover insights and inform ML strategies.
+Develop and maintain feature engineering pipelines to enhance model performance.
+Leverage cloud platforms (AWS, GCP) to deploy and scale ML solutions.
+Optimize ML workflows for efficiency and cost-effectiveness.
+Establish monitoring and continuous improvement frameworks for deployed models.
+
+Desired Background
+
+6+ years of experience in machine learning engineering, with a track record of deploying ML models in production environments.
+Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
+Experience with data processing frameworks such as Spark or distributed computing.
+Knowledge of MLOps best practices, including CI/CD for ML models.
+Strong understanding of deep learning, NLP, recommendation systems, and computer vision.
+Excellent problem-solving skills and ability to work independently in an ambiguous environment.
+Exceptional communication skills and the ability to collaborate effectively with cross-functional teams.
+
+Bonus Skills
+
+Experience in influencer marketing, social media analytics, or similar domains.
+Familiarity with cloud platforms like AWS or GCP.
+Understanding of data engineering tools such as Airflow, dbt, or BigQuery.
+Experience in working with graph-based or recommendation systems.
+
+$200,000 - $250,000 a year
+
+Gross salary
+
+What Makes Us Unique
+
+At Influur, we’re committed to your growth and development every step of the way 🚀
+You’ll thrive in a diverse, fast-paced startup environment ⚡
+You’ll collaborate with a world-class team that pushes boundaries and inspires greatness 👩🚀👨🚀
+Our one-of-a-kind culture will bring out the very best in you! 🧡
+Plus, you’ll have access to real stock options—because we believe in sharing success! 💹

job-postings/09-03-2025/9.txt

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+Junior Data Scientist/Machine Learning Engineer 
+
+Location: Cologne, hybrid
+Contract: Permanent
+
+Are you interested in the next big challenge?
+Our client is a big (2k employees in all major cities in Germany) company with several digital products and services on the market that make easier daily life of their customers.
+You will find the dynamics of e-commerce, agile processes, flat hierarchies and steep development curves.
+Now they are looking for a Junior Data Scientist/Machine Learning Engineer with a strong interest in building end-to-end solutions.
+
+
+Requirements:
+
+Good degree, e.g. in data science, (business) informatics, mathematics, physics or statistics
+First practical professional experience in data science projects, preferably with first insights into ranking and recommendation systems
+Sound knowledge of the Python data science stack (Pandas, SKLearn, SciPy) as well as experience with deep learning frameworks (Pytorch, Tensorflow)
+Creativity and curiosity in applying the latest algorithms from the field of data science to optimize their products
+Motivation for interdisciplinary work between IT and product management and for knowledge exchange within the company’s Data Science Community
+Very good written and spoken German and English skills
+
+Responsibilities:
+
+You are significantly involved in setting up a data science department, automating related business processes and delivering individually tailored results to the customers
+You create new machine learning services with a focus on recommendation and ranking systems, information extraction and predictions, including conceptual design, data preparation, model training and evaluation, and subsequent preparation for go-live
+You manage your training experiments with modern MLOps frameworks such as MLFlow and help to take the product to the next level
+You integrate your models into the product both in terms of content and technology, using cloud technologies (AWS) for example and in close cooperation with the development team
+You keep yourself up to date with the latest developments in machine learning and think with your team about how you can use generative AI models such as Transformers or ChatGPT, for example
+You work in a cross-disciplinary team in direct cooperation with product managers, developers and business intelligence managers
+
+Benefits:
+
+Flexible working time model with four days per week in the office and one day flexibly from the office or from home.
+Personal growth: they support your development with further training and regular feedback meetings to recognize and develop your strengths and potential.
+Open-ended contracts with an attractive and performance-oriented salary package including annual bonuses. As well as fitness cooperations, subsidized company bicycle leasing, etc.
+Independent, agile work in small teams with a strong team spirit. Short decision-making processes.
+An ergonomic workplace with modern equipment, including two additional screens and height-adjustable desks, from your first day at work.
+And much more.