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Anthropic
San Francisco, CA, United States
About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the
Job Source: AnthropicCourteasy
San Francisco, CA, United States
As a Research Scientist at Court Easy AI, you will be at the forefront of innovation, taking on the most complex knowledge work challenges globally, including billion-dollar litigations and corporate transactions. You'll work with the most sensitive data from the world's largest companies, pushing the boundaries of AI research, and solving unsolved
Job Source: CourteasyUniversity of California - San Francisco
San Francisco, CA, United States
Application Window Open date: September 27, 2023 Next review date: Wednesday, Jan 31, 2024 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee. Final date: Thursday, Mar 27, 2025 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review
Job Source: University of California - San FranciscoCovariant
Emeryville, CA, United States
THE COMPANY Our mission is to build the Covariant Brain, a universal AI to give robots the ability to see, reason and act on the world around them. Bringing AI from research in the lab to the infinite variability and constant change of our customer’s real-world operations requires new ideas, approaches and techniques. Success in the real world requ
Job Source: CovariantLawrence Berkeley National Laboratory
Berkeley, CA, United States
ATAP’s BACI Program focuses on essential systems that offer important opportunities to serve the accelerator community and advance the state of the art. The Program develops ultra-high precision control systems to optimize today’s particle accelerators, along with quantum-computer controls, as well as innovative beam-combining techniques for high p
Job Source: Lawrence Berkeley National LaboratoryTavus Inc.
San Francisco, CA, United States
Description At Tavus , we're defining the next frontier of personalized video experiences using generative AI. We're a Series A startup that has raised over $25M from Sequoia, YCombinator and other top valley firms. Our mission is to enable scalable hyper-personalization of videos using best-in-class AI models. In the time it would take you to rec
Job Source: Tavus Inc.Marathon Fusion
San Francisco, CA, United States
Marathon Fusion is building the fuel cycle for fusion energy. We're accelerating the commercialization of critical technologies to ensure the safe and economic deployment of fusion energy at sufficient speed and scale to achieve climate impact. Our work requires a willingness to adapt to rapidly changing circumstances and shifting priorities, while
Job Source: Marathon FusionAdobe Systems Incorporated
San Francisco, CA, United States
Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies inte
Job Source: Adobe Systems IncorporatedSan Francisco, CA, United States
Job Description Job Description Company Overview: Welcome to the forefront of innovation in machine learning! At our company, we're not just developing cutting-edge technologies; we're shaping the future of AI-driven solutions. Our mission is to revolutionize industries and empower businesses with the latest advancements in machine learning and artificial intelligence. Join us and be part of a dynamic team dedicated to pushing the boundaries of what's possible.
Position Overview: As a Senior Machine Learning Engineer, you'll be at the heart of our AI initiatives, leading the development of state-of-the-art machine learning models and systems. You'll collaborate with a talented team of data scientists, engineers, and domain experts to tackle complex challenges and deliver impactful solutions. If you're passionate about harnessing the power of data to drive innovation and eager to make a difference, we want you on our team.
Requirements
Key Responsibilities:
Algorithm Development: Lead the design, implementation, and optimization of advanced machine learning algorithms and models, leveraging industry best practices and cutting-edge techniques.
Model Deployment: Architect scalable and robust machine learning pipelines for deployment in production environments, ensuring reliability, efficiency, and maintainability.
Data Pipeline Engineering: Design and develop data processing pipelines to ingest, clean, and preprocess large-scale datasets, ensuring data quality and integrity throughout the machine learning lifecycle.
Performance Optimization: Optimize machine learning models and systems for speed, accuracy, and scalability, utilizing techniques such as distributed computing and parallel processing.
Cross-Functional Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to define requirements, prioritize tasks, and deliver solutions that meet business objectives.
Research and Innovation: Stay abreast of the latest advancements in machine learning research and technology, exploring new methodologies and tools to enhance our capabilities and drive innovation.
Mentorship and Leadership: Provide guidance and mentorship to junior team members, fostering a culture of learning and collaboration, and contribute to the technical growth of the team.
Qualifications:
Bachelor's degree or higher in Computer Science, Electrical Engineering, Statistics, or related field. Advanced degree (e.g., Master's or Ph.D.) preferred.
Extensive experience in machine learning, with a proven track record of designing and implementing machine learning algorithms and systems in production environments.
Proficiency in programming languages such as Python, TensorFlow, PyTorch, or scikit-learn, with hands-on experience in developing and deploying machine learning models.
Strong understanding of machine learning concepts and techniques, including deep learning, reinforcement learning, natural language processing, and computer vision.
Experience with cloud platforms such as AWS, Azure, or Google Cloud, and familiarity with distributed computing frameworks (e.g., Spark, Hadoop).
Excellent problem-solving abilities, analytical thinking, and attention to detail, with a passion for tackling complex technical challenges.
Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.
Benefits
Competitive salary: The industry standard salary for Senior Machine Learning Engineers typically ranges from $120,000 to $200,000 per year, depending on experience and qualifications. Exceptional candidates may be eligible for higher compensation packages.
Comprehensive health, dental, and vision insurance plans.
Flexible work hours and remote work options.
Generous vacation and paid time off.
Professional development opportunities, including access to conferences, workshops, and online courses.
State-of-the-art technology environment with access to cutting-edge tools and resources.
Vibrant and inclusive company culture with team-building activities and social events.
Opportunities for career growth and advancement within the company.
Exciting projects with real-world impact across diverse industries.
Chance to work alongside top talent and industry experts in the field of machine learning.
Join Us: Ready to shape the future of AI with machine learning? Apply now to join our team and embark on an exciting journey of innovation and discovery!
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Email Alert for AI Research Scientist jobs in San Francisco, CA, United States
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