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Machine Learning Engineer Python Jobs in San Francisco, CA

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

They are seeking a Senior Machine Learning Engineer to lead the development of ML models and ... Python-based ML and Data Science frameworks, with proficiency in at least one deep learning ...

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ... Proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, etc. * Solid ...

The Role We're looking for a Machine Learning Engineer who loves getting close to the metal. This ... Fluency in Python and at least one systems language (C++ or Rust preferred). * Familiarity with ...

Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two groups: those with wealth and access, and those with physicians in their immediate family. For ...

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ... Strong Python skills with knowledge of ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow) and ...

About the role We're looking for Machine Learning Engineers to help build our platform for training ... Expertise in Python, PyTorch or Jax, and distributed systems. * Experience deploying and ...

We're hiring an Machine Learning Engineer as the volume and complexity of legal AI workflows in our system scale rapidly. As more firms rely on Eve to automate high-stakes legal work - from intake ...

Special Skill Requirements: 1) Python, Java, and Scala; 2) C++, Go, or Rust; 3) major machine ... to other machine learning engineers. Any suitable combination of education, training and/or ...

New

... Python and familiarity with C++. • Strong background in machine learning engineering with a focus on model optimization, distillation, and deployment. • Hands-on experience optimizing models for ...

About the Role Handshake is hiring a Machine Learning Engineer I for the Growth Relevance team. AI ... Proficient in Python, with hands-on experience in frameworks such as scikit-learn, PyTorch, or ...

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

... Python and familiarity with C++. • Strong background in machine learning engineering with a focus on model optimization, distillation, and deployment. • Hands-on experience optimizing models for ...

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

... Python and familiarity with C++. • Strong background in machine learning engineering with a focus on model optimization, distillation, and deployment. • Hands-on experience optimizing models for ...

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Machine Learning Engineer Python information

See San Francisco, CA salary details

$27.1K

$164.9K

$238.6K

How much do machine learning engineer python jobs pay per year?

As of Jul 16, 2026, the average yearly pay for machine learning engineer python in San Francisco, CA is $164,910.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,200.00 and $193,800.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

What is the salary of machine learning engineer in Python?

The average salary for a machine learning engineer proficient in Python typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those requiring specialized skills in deep learning or data engineering may offer higher compensation.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Python, and why are they important?

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

What is the difference between Machine Learning Engineer Python vs Data Scientist?

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What engineer makes $500,000 a year?

A senior or lead machine learning engineer with extensive experience, advanced skills in Python, deep learning, and data modeling can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Such roles often require advanced degrees, certifications, and a strong track record of successful projects.

What is a Machine Learning Engineer Python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI director, often involving advanced skills in Python, deep learning, and data science. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or working in competitive industries like tech or finance.

Is Python enough for ML engineers?

Python is a fundamental programming language for machine learning engineers due to its extensive libraries like TensorFlow, PyTorch, and scikit-learn. However, proficiency in data manipulation, algorithms, and understanding of machine learning concepts, along with knowledge of tools like SQL and cloud platforms, are also important for success in the role.
What job categories do people searching Machine Learning Engineer Python jobs in San Francisco, CA look for? The top searched job categories for Machine Learning Engineer Python jobs in San Francisco, CA are:
What cities near San Francisco, CA are hiring for Machine Learning Engineer Python jobs? Cities near San Francisco, CA with the most Machine Learning Engineer Python job openings:
Machine Learning Engineer/Senior Machine Learning Engineer - Infra, AI for Drug Discovery

Machine Learning Engineer/Senior Machine Learning Engineer - Infra, AI for Drug Discovery

Genentech

South San Francisco, CA

$167K - $310K/yr

Full-time

Re-posted 2 days ago


Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

10th of 74 rated pharmaceutical


Job description

A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche.

Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.

The Opportunity

At Roche's AI for Drug Discovery (AIDD) group (Prescient Design), we are revolutionizing drug discovery with cutting-edge machine learning techniques. We are seeking a highly motivated and skilled ML Engineer to join our growing team within Genentech Research and Early Development AI Drug Development (gRED AIDD). This role is crucial for enhancing the core features that power our machine learning initiatives. The ideal candidate will have deep experience building scalable software and infrastructure, while consistently adhering to corporate standards and best practices.

What you'll do

Machine Learning Engineer - Infra

  • Design, implement, and maintain scalable and reliable ML infrastructure

  • Collaborate closely with ML engineers and data scientists to understand and address their infrastructure needs.

  • Document infrastructure designs, processes, and operational procedures.

Senior Machine Learning Engineer - Infra

  • Design, implement, and maintain scalable and reliable ML infrastructure, leading the architecture and delivery of significant technical solutions.

  • Proactively identify and solve complex, often cross-functional, technical problems within the ML infrastructure domain.

  • Collaborate closely with ML engineers and data scientists to understand and address their infrastructure needs.

  • Document infrastructure designs, processes, and operational procedures.

  • Mentor junior engineers and drive technical alignment and influence across teams.

Who you are

Machine Learning Engineer - Infra

  • BS/MS with 2-3 years of industry experience required

  • Proven experience designing, deploying, and managing infrastructure on AWS (EC2, S3, RDS, etc.).

  • Proficiency in scripting languages (e.g., Python) and compiled languages (e.g., C++, Go, Rust).

  • Strong experience with Git and repository management.

  • Excellent problem-solving skills and a proactive attitude, with the ability to anticipate needs and drive projects to completion.

  • Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and influence technical decisions.

  • Ability to thrive in a fast-paced environment and adapt to evolving requirements while adhering to corporate guidelines.

Senior Machine Learning Engineer - Infra

  • BS/MS with 3-5 years of industry experience required

  • Proven experience designing, deploying, and managing infrastructure on AWS (EC2, S3, RDS, etc.).

  • Proficiency in scripting languages (e.g., Python) and compiled languages (e.g., C++, Go, Rust).

  • Strong experience with Git and repository management.

  • Demonstrated ability to lead technical projects from conception to completion and deliver high-quality, scalable, and reliable software.

  • Excellent problem-solving skills and a proactive attitude, with the ability to anticipate needs and drive projects to completion.

  • Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and influence technical decisions.

  • Ability to thrive in a fast-paced environment and adapt to evolving requirements while adhering to corporate guidelines.

Preferred

  • Extensive experience with large-scale ML model platforms and tools.

  • Deep understanding and experience with PyTorch implementation, especially regarding scaling inference performance.

  • A history of significant contributions to open-source projects or industry standards.

Relocation benefits are NOT available for this job posting

The expected salary range for this position based on the primary location of California for the Machine Learning Engineer is $147,600, - $274,000 and New York is $141,100 - $262,100, and the Senior Machine Learning Engineer for California is $167,400 - $310,800 and New York is $160,100 - $297,300. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Benefits

#ComputationCoE

#tech4lifeComputationalScience

#tech4lifeAI

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.


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About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

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