Lead Machine Learning Engineer Jobs in San Francisco, CA

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Sr. LLM/AI/ML Engineer with Prompt Engineering

Critical River, Inc.

San Francisco, California, USA

Full-time

Hi, I Hope you are doing good..!! Title: Sr. LLM/AI/ML Engineer with Prompt Engineering Location: Bay Area California (Hybrid) Duration: Fulltime with CR Years of Experience: 5-10 Job Profile Senior LLM Engineer with a focus on Prompt Engineering to join our team. This role involves developing and optimizing large language models (LLMs), with a particular emphasis on creating and refining conversation prompts to enhance AI interactions. The ideal candidate will have extensive experience in deep

Lead DevOps Engineer

Stefanini

San Francisco, California, USA

Contract

Stefanini Group is hiring!Stefanini is looking for Lead DevOps Engineer for San Francisco, CA (Hybrid work) locationFor quick Apply, please reach out to Ravi Singh- call: / email: Open to W2 Candidates only! Mentor and coach application developers on proper techniques for building secure, reliable and scalable applications (customized COTS, SAAS, in-house built, etc.).Design, configure, develop, implement, deploy, document and support applications using three-tier architecture, microservices,

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Burlingame, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Burlingame, CA: Software Engineer, Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (ref. code REQ-2404-136669: $176,244/year to $200,200/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base sala

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Burlingame, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Burlingame, CA: Software Engineer, Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (ref. code REQ-2405-136846: $221,596/year - $240,240/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salar

Machine Learning Engineer

Apex Systems

Burlingame, California, USA

Full-time

Job#: 2007066 Job Description: Apex Systems is seeking a Machine Learning Engineer to support a Fortune 500 Client based out of Burlingame, CA. If interested in discussing details please send your resume over to Ashley Bocklet at Title: Machine Learning EngineerLocation: Burlingame, CA (Onsite w/ Hybrid Flexibility)Pay: 70-85/HR Dependent on ExperienceWork Type: W2 Job Description: Machine Learning Engineer Prior experience developing models for low-resource edge devices (Wearables, Mobile pho

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Menlo Park, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Menlo Park, CA: Software Engineer, Machine Learning: Research, design, develop, and test systems-level software for massive social data and prediction problems. (ref. code REQ-2404-136678: $222,276/year to $240,240/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus or equity or sales inc

Machine Learning Engineer

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Menlo Park, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Menlo Park, CA: Machine Learning Engineer: Research, design and develop new algorithms and mathematical techniques to improve the efficiency and performance of Metas platforms. (ref. code REQ-2403-134959: $232,587.00/year to $240,240.00/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Menlo Park, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Menlo Park, CA: Software Engineer, Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (ref. code REQ-2404-136279: $215,658/year to $240,240/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base sala

Software Engineer (Machine Learning)

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Menlo Park, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Menlo Park, CA: Software Engineer (Machine Learning): Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (ref. code REQ-2404-135815: $192,397/year to $200,200/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base sal

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Menlo Park, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Menlo Park, CA: Software Engineer, Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (ref. code REQ-2404-135482: $192,921/year to $200,200/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base sala

AIML - Machine Learning Engineer, MIND

Apple, Inc.

San Francisco, California, USA

Full-time

Summary As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you will have an opportunity to be part of an ML innovation organization within Apple that has its roots in the computer vision research community. MI is well positioned for strategic contributions in the short-term (on well-known Apple products) and in the long-term (on highly ambitious, high-risk, high-reward projects).This role has a strong focus on shipping ML-based features and products.You'll inn

Sr. Staff Machine Learning Engineer, Content Quality - Trust Engineering

Pinterest, Inc.

San Francisco, California, USA

Full-time

About Pinterest: Millions of people across the world come to Pinterest to find new ideas every day. It's where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you'll be challenged to take on work that upholds this mission and pushes Pinterest forward. You'll grow as a person and leader in your field, all the while helping Pinners make their lives better in the

Sr Staff ML Engineer, Inclusive AI

Pinterest, Inc.

San Francisco, California, USA

Full-time

About Pinterest: Millions of people across the world come to Pinterest to find new ideas every day. It's where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you'll be challenged to take on work that upholds this mission and pushes Pinterest forward. You'll grow as a person and leader in your field, all the while helping Pinners make their lives better in the

Senior Software Engineer - Machine Learning / Optimization

Uber Corporate

San Francisco, California, USA

Full-time

About the Role Are you a passionate Machine Learning Engineer who thrives in fast-paced environments and enjoys building impactful solutions that shape the future of transportation? Join our Driver Pricing team at Uber and be at the forefront of developing machine learning models that optimize driver earnings and overall platform efficiency. You will play a crucial role in designing, building, and deploying cutting-edge algorithms that determine fair and dynamic pricing for Uber drivers across

Senior Machine Learning Engineer

Uber Corporate

San Francisco, California, USA

Full-time

About the Role The Investment Modeling Team at Uber is at the forefront of driving the company's global incentive and pricing strategies across all pricing and incentive mechanisms and cities worldwide! Encompassing both Mobility and Delivery businesses, we help Uber hit more aggressive growth and profitability targets while maintaining the overall health of the marketplace. We pursue this objective via an ML-driven algorithmic approach, applying state-of-the-art Machine Learning (ML) and Optim

Staff Machine Learning Engineer, Ads Lightweight Ranking

Pinterest, Inc.

San Francisco, California, USA

Full-time

About Pinterest: Millions of people across the world come to Pinterest to find new ideas every day. It's where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you'll be challenged to take on work that upholds this mission and pushes Pinterest forward. You'll grow as a person and leader in your field, all the while helping Pinners make their lives better in the

Sr Software Engineer - Machine Learning

Uber Corporate

San Francisco, California, USA

Full-time

About the Role Uber Marketplace is at the core of Uber's business, and Rider Pricing & Incentives is a strategically critical component of Marketplace. The mission of the team is to foster growth and increase profitability of Uber by pushing the frontiers of machine learning, data science and economics and developing highly reliable and scalable platforms to accelerate Uber's impact on the transportation industry. This role will drive high-impact projects to optimize rider pricing & incentives

Machine Learning Engineer, Stripe Assistant

Stripe

San Francisco, California, USA

Full-time

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important

Sr Software Engineer - Machine Learning

Uber Corporate

San Francisco, California, USA

Full-time

About the Role Promotions and discounts have become key components of modern e-commerce platforms. The Marketplace Consumer Incentives team is largely responsible for Uber's profitability and growth through the most efficient incentive structures across all business lines like Uber Rides and Uber Eats. The team heavily invests in machine learning, causal inference, constrained optimization, distributed system, etc to optimize/personalize incentive structures to increase consumer engagement. The

Checking in- (100% remote considered) Are you interested in a Senior Machine Learning Engineer opportunity to work with a company focused on Healthcare Systems solutions

VortexLink

San Francisco, California, USA

Full-time

Senior Machine Learning Engineer Full Time opportunity-Office located in San Francisco, CA (100% remote considered) The Senior Machine Learning Engineer will build and deploy NLP models, including LLMs, to understand patient-doctor conversations, identify relevant medical terminology and phrases. This information will be used to build ML-based services and applications that will enable doctors and clinicians to be more efficient and to recommend actions on how to improve patient health. Respons