Email Alert for
ⓘ There was an unexpected error processing your request.
Please refresh the page and try again.
If the problem persists, please contact us with your issue.
You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.
Get ready to discover your next great opportunity.
Twelve Labs
San Francisco, CA, United States
Who we are We’re a fast-moving, diverse team pushing the frontiers of artificial intelligence. At Twelve Labs, our mission is to help developers build programs that can see, listen, and understand the world as we do by bringing the world’s most powerful video understanding infrastructure to market. As a part of achieving this mission, we are build
Job Source: Twelve LabsNiantic
San Francisco, CA, United States
Niantic’s Engineering Team seeks a Software Engineer specialized in Machine Learning Engineering to build platforms that empower engineers and researchers to create innovative user experiences with the emerging Generative AI technologies. Our team powers capabilities across our games, geo-based, and AR platforms through productionizing large scale
Job Source: NianticNiantic, Inc.
San Francisco, CA, United States
Niantic’s Engineering Team seeks a Software Engineer specialized in Machine Learning Engineering to build platforms that empower engineers and researchers to create innovative user experiences with the emerging Generative AI technologies. Our team powers capabilities across our games, geo-based, and AR platforms through productionizing large scale
Job Source: Niantic, Inc.Meta
Burlingame
**Summary:** Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving
Job Source: MetaQuantum Technologies. LLC
San Francisco, CA, United States
W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed. Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters Job Overview Specialized Area: Machine learning Job Title: Software Engineer - Machine Learn
Job Source: Quantum Technologies. LLCWilliams-Sonoma, Inc.
San Francisco, CA, United States
Software Engineer - Machine Learning About the Machine Learning Team At Williams-Sonoma, Inc., we are harnessing the power of data science, machine learning and predictive analytics to better understand the dynamic trends, patterns and anomalies of our business and customer behavior and leverage them to solve complex problems across the enterpris
Job Source: Williams-Sonoma, Inc.ZipLine
San Francisco, CA, United States
About Zipline Zipline is on a mission to transform the way goods move. Our aim is to solve the world’s most urgent and complex access challenges by building the first instant logistics system that serves all humans equally. Leveraging expertise in robotics and autonomy, Zipline designs, builds, and operates a fleet of cutting edge, autonomous deli
Job Source: ZipLineSubstack Inc.
San Francisco, CA, United States
Overview As an ML engineer at Substack, you will play a crucial role in developing and implementing cutting-edge machine learning solutions to enhance our product offerings. You will be part of a dynamic team, collaborating closely with software engineers and data scientists, to bring machine learning models into our codebase and integrate them se
Job Source: Substack Inc.San Francisco, CA, United States
At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization. Data and Machine Learning are at the heart of our products and decision-making. We’re looking for passionate, driven engineers to build systems that empower machine learning models to make our products predictive, personalized, and adaptive. We’re looking for someone who is passionate about solving problems with data, building reliable ML systems, and is excited about working in a fast-paced, innovative, and collegial environment.
As a machine learning software engineer, you will be developing production machine learning models that drive safer touch points and higher quality support experiences for both riders and drivers. You will be working on a wide array of challenges ranging from large scale distributed model training, large language model development, automating machine learning model lifecycle, implementing model monitoring, enabling reinforcement learning and much more. You will work with modelers across the company and build infrastructure to incorporate the rapid developing needs in various domains.
Responsibilities:
Partner with Machine Learning Engineers, Data Scientists, Software Engineers and Product Managers to develop advanced systems for business and user impact
Collaborate with cross-functional teams to understand requirements and translate them into technical solutions
Evaluate when to build and when to reuse existing components including open source solutions
Continuously research and stay updated with the latest advancements in machine learning and natural language processing
Participate in code reviews, provide constructive feedback, and uphold best practices in ML engineering
Create and maintain comprehensive documentation for models, experiments, and processes
Write production quality code that scales with use
Help establish roadmap and architecture based on technology and our needs
Experience:
B.S., M.S., or Ph.D. in Computer Science and experience in distributed systems and machine learning
Passion for building scalable and extensible solutions for machine learning development and productionisation towards short term and long term business and user impact
Proficiency in Python, Golang, or other programming language
Excellent communication skills
Strong understanding of Machine Learning fundamentals, including supervised learning, large language models, forecasting, recommendation systems and reinforcement learning
Bonus Qualifications:
Solid software engineering skills and experience with popular ML software libraries (scikit-learn, pandas) and data munging tools (SQL, Spark). Experience with deep learning frameworks (e.g. PyTorch, Tensorflow) is a plus.
Familiarity working with cloud services (AWS, Azure, GCP, etc) and containerization with Kubernetes.
Benefits:
Great medical, dental, and vision insurance options
Mental health benefits
Family building benefits
In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
401(k) plan to help save for your future
18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
Pre-tax commuter benefits
Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
Lyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.
The expected base pay range for this position in the San Francisco Bay area is $124,000 - $155,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
#J-18808-Ljbffr
Email Alert for Software Engineer, Machine Learning jobs in San Francisco, CA, United States
ⓘ There was an unexpected error processing your request.
Please refresh the page and try again.
If the problem persists, please contact us with your issue.
You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.
Get ready to discover your next great opportunity.