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job-postings/02-02-2025/1.txt

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+We have partnered with a Generative AI company, building full stack AI applications at the click of a button. They have raised almost $200M from Tier 1 Investors and have thousands of customers. They conduct cutting-edge research in various AI domains, such as NLP, LLMs and advanced RAG techniques. 
+
+This is a Hybrid role based out of their New York or San Francisco office.
+
+Key Responsibilities
+Lead the charge on all Machine Learning projects, driving the creation of innovative, cutting-edge products that are safe, secure, and delivered on time and within budget.
+Stay up-to-date with the latest advancements in AI and machine learning research, and proactively suggest improvements to enhance our generative AI capabilities.
+Champion the establishment and enforcement of robust data governance policies, ensuring data excellence, security, and regulatory compliance at every turn.
+Forge dynamic partnerships with engineering, marketing, finance, and operations teams to uncover their data needs and spearhead transformative data initiatives that propel their success.
+
+Requirements
+Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Statistics, or related field.
+10 years industry experience with 5 years leading teams of Machine Learning Engineers / Data Scientists
+Expertise in AI technologies, machine learning algorithms, and deploying AI-driven business solutions.
+Strong leadership and communication skills, with the ability to collaborate effectively and present complex data concepts to non-technical audiences.
+
+If interested, please reach out for a confidential chat!

job-postings/02-02-2025/10.txt

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+Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.
+
+The Position
+
+Prescient Design has joined Genentech’s Research and Early Development organization (gRED) in order to apply their cutting-edge technology and machine learning approach to our drug discovery efforts. We believe that Prescient Design’s platform and expertise, combined with our growing internal computational capabilities, can ultimately help us bring better medicines to patients, faster.
+
+Our Machine Learning for Drug Discovery team is focused on advancing fundamental machine learning, especially generative models, and their application to real-world challenges in drug discovery. Our mission is to uncover ideas and technologies that will make a meaningful impact on healthcare, shaping the future of how treatments are developed. Instead of focusing on incremental improvements, we tackle complex problems that require creative thinking and a broad perspective, working at a level that enables solutions to be applied across multiple areas.
+
+In biology, many exciting research questions cannot yet be addressed with off-the-shelf ML approaches—they demand not only novel solutions but also new ways of framing the questions themselves, often beyond existing ML paradigms.
+
+If you’re excited about advancing research at this intersection, join us on an impactful journey of innovation at Prescient.
+
+This internship position is located in Basel, Switzerland, on site.
+
+The Opportunity
+
+You will develop generative methods aimed at optimally diverse sample generation at very large sampling scales.
+You will collaborate closely with our team in Basel, New York, and San Francisco.
+You are expected to contribute to and drive publications, and present your results at internal and external scientific conferences.
+
+Program Highlights
+
+Intensive 6-12 months, full time (40 hours per week) internship with a possibility of extension.
+Program start dates are in May/June (Summer)
+Ownership of challenging and impactful business-critical projects.
+Work with some of the most talented people in the biotechnology industry.
+
+Who You Are (Required)
+
+Must be pursuing a Ph.D. in Computer Science, Statistics, Applied Mathematics, Computational Biology, Physics, related technical field, or equivalent practical experience. In cases of outstanding excellence, we will also consider applications of master students.
+Good knowledge of machine learning fundamentals. Familiarity with generative models and/or out-of-distribution generalization would be helpful. Experience with ML on biological data is desired, but not necessary.
+Proven publication record and experience contributing to research communities, including relevant journals or conferences like NeurIPS, ICML, ICLR, AISTATS, UAI, CVPR, ACL, etc.
+Detailed hands-on experience on building and training neural networks - experience with at least one DL framework (preferably Pytorch), keen to build unconventional models, a knack for getting things to work.
+
+Required Majors
+
+You are an enrolled university student in your Master’s or PhD program, or alternatively have pursued your Master’s degree not longer than 12 months prior to the start date.
+
+Due to regulations, non-EU/EFTA citizens must provide a certificate from the university stating that an internship is mandatory as part of the application documents, and must be continuously enrolled in their university program for the whole duration of this internship.
+
+Preferred Knowledge, Skills, And Qualifications
+
+Excellent communication, collaboration, and interpersonal skills.
+Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.
+
+Who we are
+
+At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.
+
+Basel is the headquarters of the Roche Group and one of its most important centres of pharmaceutical research. Over 10,700 employees from over 100 countries come together at our Basel/Kaiseraugst site, which is one of Roche`s largest sites. Read more.
+
+Besides extensive development and training opportunities, we offer flexible working options, 18 weeks of maternity leave and 10 weeks of gender independent partnership leave. Our employees also benefit from multiple services on site such as child-care facilities, medical services, restaurants and cafeterias, as well as various employee events.
+
+We believe in the power of diversity and inclusion, and strive to identify and create opportunities that enable all people to bring their unique selves to Roche.
+
+Roche is an Equal Opportunity Employer.
+
+Apply Now

job-postings/02-02-2025/2.txt

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+Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.
+
+The Simulator team builds state-of-the-art simulations of realistic environments for the testing and training of the Waymo driver. We use machine learning to model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists etc.), roads, traffic control systems, and weather. To increase the fidelity and steerability of the simulations, we employ large foundation models, trained on our massive datasets that allow us to quickly setup and rollout multiple scenarios to subject our driver to.
+
+We have set up a team in London UK to work with the teams in MTV and Oxford to build these foundation models out and to integrate them into several evaluation and training products. We are looking for research engineers to work on these exciting problems.
+
+In this hybrid role, you will report to an Engineering Manager.
+
+You Will
+
+Be part of a world class research engineering team to grow the state-of-the-art of ultra realistic AV simulations using foundation models
+Collaborate with teams in Waymo Oxford to use large models to improve sim realism
+Design experiments that push the frontiers of AV simulations
+Develop metrics that measure the realism of simulated worlds
+Train and evaluate large models and integrate them into the simulator and its downstream applications
+Help hire outstanding research engineers from diverse backgrounds
+Be a part of a collaborative research engineering team that takes research ideas and productionizes them
+
+We Prefer
+
+4+ years experience in applied Deep Learning
+4+ years coding and design skills
+Experience solving complex production problems using state-of-the-art ML techniques
+Experience taking research to production
+Expertise in Data Analysis or Data Science
+
+The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
+
+Salary Range
+
+£117,000—£126,000 GBP

job-postings/02-02-2025/3.txt

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+Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.
+
+In this role, you'll enhance automation and efficiency, identifying bottlenecks in our ML workflow and developing solutions to accelerate our ML pipeline. You'll build automated pipelines, creating new infrastructure or applying existing tools innovatively. From version control and reproducibility to monitoring and retraining, you'll ensure quality and consistency across all aspects of the process.
+
+In this hybrid role, you will report to an Engineering Manager
+
+You Will
+
+Design and implement automated workflows to work towards the ML flywheel for Waymo’s data and model training needs 
+Develop tooling and infrastructure to reliably train models for Waymo’s onboard and offboard applications
+Accelerate the developer velocity of product and research teams by looking for and addressing bottlenecks in the ML development lifecycle
+
+You Have
+
+Bachelor's degree in Computer Science, Engineering, or related field, and 2+ years equivalent experience
+Experience with distributed systems principles and experience building distributed systems for production environments. 
+Outstanding programming skills in C++, or Python
+
+We Prefer
+
+Experience with ML Ops principles and best practices
+
+The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
+
+Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
+
+Salary Range
+
+$158,000—$200,000 USD

job-postings/02-02-2025/4.txt

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+Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.
+
+What you'll do: We're pushing the boundaries of how well our autonomous driving models generalize to new cities and environments. A key challenge is efficiently evaluating performance in diverse scenarios using simulation. You'll contribute to a project that evaluates and improves the performance of simulation agents in new environments, ensuring we effectively measure model robustness in unfamiliar settings. You will work with state of the art foundation models, large datasets, and applying the latest modeling innovations to improve our custom architectures. This high-impact project directly influences how we validate the safety and reliability of our self-driving technology.
+
+Required
+
+Enrolled in a PhD program
+Machine learning expertise
+Coding experience in Python
+Jax/Tensorflow/Pytorch ML framework experience,
+
+Preferred
+
+Jax experience; C++; Experience working with foundational models and/or VLMs/LLMs/transformers, robotics, AV experience
+
+The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.
+
+Hourly PhD Pay
+
+$60.10—$60.10 USD

job-postings/02-02-2025/5.txt

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+Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.
+
+Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you.
+
+Waymo interns partner with leaders in the industry on projects that provide significant impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!
+
+You Will
+
+Develop a novel co-simulation and verification methodology for ML accelerator pipelines
+Explore automated stimulus generation with constraint solvers, fuzz testing, formal techniques and AI-generated test cases
+Profile, understand and optimize simulator performance to speed up run times
+Gain deep knowledge of the microarchitecture and ISA of a state-of-the-art ML accelerator
+
+You Have
+
+Enrolled in a Masters program in Electrical Engineering, Computer Engineering or equivalent
+Excellent knowledge of computer architecture and microarchitecture
+Proficiency in digital system design using SystemVerilog or other languages
+Software development experience with proficiency in C++ for modeling and verification of digital systems
+
+We Prefer
+
+Enrolled in a PhD program in Electrical Engineering, Computer Engineering or equivalent
+Experience with higher-level languages for digital design such as Chisel, HLS, Python-based HDLs
+Experience with RTL simulation using Verilator
+Experience with CPU performance profiling
+
+The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.
+
+Hourly Masters Pay
+
+$50.48—$50.48 USD
+
+The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.
+
+Hourly PhD Pay
+
+$60.10—$60.10 USD

job-postings/02-02-2025/6.txt

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+Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.
+
+Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you.
+
+Waymo interns work with leaders in the industry on projects that deliver significant impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skillset. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!
+
+This internship will be based on-site at our headquarters in Mountain View, CA.
+
+You Will
+
+Develop the training infrastructure used by model trainers across Waymo. 
+Evaluate the impact of these features on developer velocity and resource efficiency. 
+Work with model owners to jointly evaluate tradeoffs of training efficiency and model quality. 
+
+You Have
+
+Currently pursuing a MS or PhD degree in Computer Science, Machine Learning, Robotics, or a related technical field. 
+Strong understanding of neural network training and related concepts. 
+Proficient in Python and deep learning frameworks such as PyTorch, JAX, or TensorFlow. 
+
+We Prefer
+
+Proficient in SQL. 
+Familiar with different methods of distributed training for large-scale models, such as data and model parallelism. 
+Experienced with software engineering best practices, version control systems, and writing production-quality code. 
+
+Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.
+
+The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.
+
+Hourly Masters Pay
+
+$50.48—$50.48 USD
+
+The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.
+
+Hourly PhD Pay
+
+$60.10—$60.10 USD

job-postings/02-02-2025/7.txt

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+Machine Learning Engineer : Edinburgh Based
+
+Be a part of an exciting well:funded company as one of its first key:hires in a Machine Learning Role. As part of a start:up company, you will have the unique opportunity to help shape the direction of the business.
+
+In this role, you will be required to work closely with the founders as well as having the ability to work independently when required.
+
+The Ideal Candidate Should Have
+
+: Advanced degree (PhD or Master's) in Computer Science, Mathematics or a relevant subject
+
+: Experience with Bayesian Statistics and Learning
+
+: Background on statistics, probabilistic modelling, deep learning
+
+: Excitement about being part of a start:up
+
+Machine Learning Engineer : Edinburgh Based

job-postings/02-02-2025/8.txt

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+Machine Learning Engineer (Time Series Data Analysis)
+
+Industry leading tech company has immediate need for a Machine Learning Engineer with expertise in time series data analysis. This engineer will drive the development and optimization of machine learning solutions, focusing on time series forecasting, anomaly detection, and predictive analytics. This person will use advanced machine learning concepts to design and build impactful real-world applications that drive the business and create opportunities for growth.
+
+Responsibilities
+Develop and implement machine learning models and algorithms specifically for time series data analysis.
+Design and build scalable data pipelines to preprocess and transform time series data.
+Conduct exploratory data analysis to uncover trends, patterns, and insights from time series data.
+Optimize and fine-tune models for performance, accuracy, and scalability.
+Experiment with and implement state-of-the-art techniques for time series forecasting and anomaly detection.
+Develop RESTful APIs and interfaces for time series-based services.
+Analyze complex datasets to create actionable insights, employing advanced machine learning and statistical models.
+Design end-to-end machine learning pipelines, including data collection, preprocessing, model training, and deployment.
+Solve business challenges using predictive analytics, anomaly detection, and recommendation systems.
+Contribute to research publications, patents, and technical workshops.
+Partner with cross-functional teams to define and deliver machine learning-based solutions.
+Ensure machine learning systems meet ethical guidelines, focusing on transparency, fairness, and accountability.
+Adhere to privacy laws and regulations, implementing measures to safeguard sensitive data.
+
+Qualifications
+5+ years of hands-on, professional experience with time series data analysis and deploying machine learning models and pipelines in a production environment.
+Hands on development skills with Python or R and experience with RESTful API design
+Bachelor's or master's degree in Computer Science, Data Science, Statistics, or a related field with specialization in AI, NLP, or Data Science.
+Proficiency in machine learning development using frameworks such as TensorFlow, PyTorch, or Keras.
+Experience developing and optimizing machine learning models for time series forecasting and anomaly detection.
+Strong data engineering and analytics skills, with tools such as Pandas, NumPy, Spark, or SQL.
+Familiarity with big data technologies (Hadoop, Kafka, or cloud platforms like AWS/GCP/Azure).
+Bonus points for familiarity with LLMs, Vector DBs, and RAG.
+Practical knowledge of statistical methods and techniques for time series analysis.
+Ability to work in a fast-paced, collaborative team environment and adapt to evolving priorities.
+Knowledge of CI/CD practices (experience developing and setting up a continuous integration/continuous delivery pipeline).
+Preferred Skills
+HTML/JS/CSS
+React
+Java
+MySQL or similar relational database (Postgres, SQL Server)

job-postings/02-02-2025/9.txt

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+Estamos em busca de uma pessoa Desenvolvedora Full Stack. Você vai se destacar se tiver interesse em novas tecnologias de IA e Machine Learning.
+
+Responsabilidades
+
+Desenvolvimento de aplicações web e mobile utilizando Java no backend e frameworks modernos no frontend (React, Angular, etc.).
+Desenvolver projetos que envolvem a integração de modelos de IA em sistemas de produção, seja para automação de processos, otimização de fluxo de trabalho, ou aumento de produtividade.
+Automação de processos repetitivos e intensivos em tempo utilizando IA, como automação de atendimento ao cliente, classificação de documentos, ou otimização de processos industriais.
+
+Requisitos obrigatórios
+
+Sólida experiência com backend utilizando Java, com frameworks como Spring Boot e Hibernate;
+Experiência com tecnologias frontend, como HTML5, CSS3, JavaScript, React.js, Angular, ou Vue.js;
+Habilidade para desenvolver e consumir API RESTful, integrando-as com sistemas existentes;
+Conhecimento em banco de dados SQL (PostgreSQL, MySQL) e NoSQL (MongoDB, Cassandra);
+Experiência com testes automatizados (JUnit, Selenium);
+Desejável conhecimento em integração de modelos de Machine Learning e IA em sistemas Java, utilizando APIs ou serviços de IA (como TensorFlow Serving ou AWS SageMaker);
+Desejável experiência no desenvolvimento de soluções de automação, utilizando algoritmos de IA para otimizar processos repetitivos e aumentar a produtividade.
+
+Benefícios
+
+Assistência Médica Amil;
+Assistência Odontológica Porto Seguro;
+Vale Refeição: R$ 30,00 por dia útil pago no cartão Flash;
+Seguro de Vida;
+Vale academia;
+Auxílio Home office;
+Presente de Aniversário Personalizado + Day Off;
+Curso Espanhol e Inglês In Company (Sem custo ao colaborador);
+Incentivo a educação para cursos e capacitações;
+Vale transporte.
+
+Modalidade de trabalho
+
+Regime híbrido (presencial 1 vez por mês)