Machine learning jobs in Oakland, California - Page 19Create job alerts

Member of Technical Staff – Machine Learning. Build and scale machine learning systems that power real healthcare products.

Senior LLM Research Scientist | Advanced AI Systems | San Francisco (Onsite).Join a team building AI with real physical capabilitysystems that can experiment, engineer, and manufacture in the real world.Backed by deep technical foundations and large-scale programs, theyre pushing the frontier of adv

Build and scale machine learning systems that power real healthcare products. Member of Technical Staff – Machine Learning.

Machine Learning Researchers and PhDs. Draft detailed, executable natural language plans for machine learning workflows. PhD in machine learning or related fields.

Member of Technical Staff – Machine Learning. Build and scale machine learning systems that power real healthcare products.

Staff Software Engineer, Machine Learning. Our stack is constantly evolving but based on a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and

Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

As a Senior Software Engineer within our Machine Learning Team, you will tackle complex challenges in distributed systems and ML operations to enhance our machine learning infrastructure. Senior Software Engineer - Infrastructure, Machine Learning (Technical Lead). Improve real-time machine learning

Machine Learning Support Engineer. Join Labelbox as a Customer Support Engineer (known as a Machine Learning Support Engineer), you'll act as the frontline of customer, utilizing live chat and internal resources to resolve product issues and provide proactive guidance to customers. Experience with M

Research and/or hands-on experience in one or more of the following areas: Machine Learning, NLP, Recommendation Systems, Pattern Recognition, Data Mining, Computer Vision, Artificial Intelligence or other relevant fields. Please note that Meta may leverage artificial intelligence and machine learni

Collaborate with senior researchers, residents, engineers, and physicists to derive the theory of new probabilistic models and their learning rules, including energy-based models and diffusion models. Experience in scientific Python and at least one deep learning framework (PyTorch, JAX, TensorFlow,

We believe that if you aren't constantly learning, you aren't growing.

We look forward to speaking with you, and learning more about what you are seeking in your next opportunity.

Python in a product setting, including 1+ years in a the data/machine learning ecosystem. Braze offers benefits such as: competitive compensation that may include equity, retirement and Employee Stock Purchase Plans, flexible paid time off, comprehensive benefit plans covering medical, dental, visio

As a Senior Software Engineer within our Machine Learning Team, you will tackle complex challenges in distributed systems and ML operations to enhance our machine learning infrastructure. Senior Software Engineer - Infrastructure, Machine Learning. Role: Senior Software Engineer - Infrastructure Tea

Machine Learning Research Lead, Security & Policy Research Lab Ready to Apply? Join the team shaping the future of AI at Scale. Ideally you'd have: * Track record of impactful research in machine learning, especially in generative AI, evaluation, or oversight. You'll also receive benefits including

Strong grasp of machine learning fundamentals, and depth in at least one core domain (e.

LendingClub's Risk and Decision Science organization is looking for a Director, Data Science & Machine Learning to lead the development and implementation of advanced machine learning and statistical solutions across our lending and deposit products. Manage and mentor a team of data scientists and m

That is why Eight Sleep is looking for research scientists with a passion for using AI & Machine Learning to transform sensor data into personalized intelligent health & fitness experiences. Expertise in at least one area of machine learning and artificial intelligence (e. Strong interest in applyin

We look forward to speaking with you, and learning more about what you are seeking in your next opportunity.

We use machine learning and large language models to build software which helps our customers operate their business effectively.

Causal Machine Learning and causal inference methodologies. PhD in Computer Science, Machine Learning, Operations Research, or related quantitative field OR Master's degree with 12+ years of industry experience. Deep Learning, Causal Inference, Reinforcement Learning, Multi-objective Optimization, A

Published research in machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc. Benefits cover comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and additional benefits as applicable.

Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop modern growth and personalization models that power DoorDash's growing retail and grocery business. We're looking for

Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning. Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc. Master's degree in Computer Science, Machine Learning, AI, or a related field.

Your work will span from exploring new architectures and learning methods to optimizing latency and efficiency, with the goal of delivering better models to customers. Run experiments with new learning methods, including novel approaches to SFT, RLHF, DPO, and other post?training techniques. Perform

As a Staff Software Engineer within our Machine Learning Team, you will tackle complex challenges in distributed systems and ML operations to enhance our machine learning infrastructure. Improve real-time machine learning workflows to support dynamic decision-making and automate core operational pro

Machine Learning Research Engineer, GenAI Applied ML. This role will lead the development of machine learning systems powering internal and external customer use cases across Scales GenAI platform. Design and deploy machine learning models to power core customer?facing and internal GenAI features.

Senior LLM Research Scientist | Advanced AI Systems | San Francisco (Onsite).Join a team building AI with real physical capability—systems that can experiment, engineer, and manufacture in the real world.Backed by deep technical foundations and large-scale programs, they're pushing the frontier of

We're seeking an experienced, hands-on Engineering Manager (Web Safety) to shape the future direction, architect advanced system protections, and lead a focused team of senior Machine Learning Engineers (MLEs). Lead and manage a small, senior team of Machine Learning Engineers, empowering them with

In order to execute our vision, we're constantly growing our machine learning team. Our ideal candidate has experience managing a team of machine learning engineers working on ML projects of a massive scale, contributes innovative ideas and ingenious modeling improvement strategies to the team, and

Senior LLM Research Scientist | Advanced AI Systems | San Francisco (Onsite).Join a team building AI with real physical capability—systems that can experiment, engineer, and manufacture in the real world.Backed by deep technical foundations and large-scale programs, they’re pushing the frontier

We are seeking a highly experienced Machine Learning Engineer to design, develop, and deploy advanced causal Marketing Mix Models (MMM) for Adobe's global businesses.

Machine Learning Engineer PhD (Full Time) - United States Get AI-powered advice on this job and more exclusive features. Recent graduate or in your final year of studies toward a PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or a related field. Your Impa

Familiarity with on‑policy reinforcement learning setups with inference (policy rollouts) as part of the training loop, such as GRPO, PPO, or A2C Experience working at a startup Interview Process.

Industry experience building end‑to‑end Machine Learning infrastructure and/or building and productionizing Machine Learning models, as well as integrating to product use cases. Prototype machine learning use cases for use in the product, and work with stakeholders to iterate on requirements. De

Expertise in one or more areas of machine learning, such as deep learning, reinforcement learning, probabilistic modeling, or optimization. That’s why we’re seeking a Staff Machine Learning Engineer eager to join EvenUp’s mission. PhD in Machine Learning, Computer Science, or other quantitativ

You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

Machine Learning Engineer with AdTech exp - NO H-1B or C2C. Computer Vision/ Machine Learning Engineer Ad Platforms organization within Company Technology is fully responsible for building, enhancing, and maintaining a high-performance, distributed, microservice-based advertising platform across all

The goal of a Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust i

Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and optimizing these models to perform efficiently in real-world robotic environments. Deep understanding of state

Practical experience applying machine learning with deep learning frameworks, such as PyTorch, to solve real‑world problems. We’re looking for a highly motivated engineer with experience deploying machine learning algorithms to physical systems in the real world. Our systems are already installe

Deep expertise in the evaluation of Machine Learning systems at scale, encompassing metrics design, rigorous experimentation, large-scale data analysis, and statistical methods. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learni

Machine Learning Engineers (Open-Endedness) - Open Level. Machine Learning Scientist, NLP (All Levels). Machine Learning Engineer, GenAI Applied ML.

We're looking for a highly motivated and skilled Staff Machine Learning Engineer to build the future of AI productivity software.

PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous

You have a strong understanding of deep learning AI/ML frameworks or cloud services.

Build and train machine learning models. Initiate new areas where machine learning models can make a large impact on the o. Experience building and productionizing innovative end-to-end Machine Learning systems.