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Senior Machine Learning Engineer Jobs (NOW HIRING)

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137K/yr

Senior Machine Learning Engineer Location: Ann Arbor, Michigan Experience Level: 7+ Years Department: Data Science / Engineering Employment Type: Full-time About the Role: We are looking for an ...

PROPRIUS

Senior Machine Learning Engineer

New York, NY

$114K - $157K/yr

Sr. Machine Learning Engineer Location: New York, NY Sponsorship: Yes Relocation: Yes Industry: Machine Learning A leading provider of AI is looking for a Sr. ML Engineer. Our client is an industry ...

Autodesk

$86K - $119K/yr

Position Overview As a Senior Machine Learning Engineer, you will play a key role in designing, developing, and evolving machine learning systems that support conversational AI, search, multi-agent ...

Button, Inc.

Senior Machine Learning Engineer

$153K - $198K/yr

As a Senior Machine Learning Engineer, you will own the end to end ML lifecycle at Button, from the data and feature pipelines that feed models, through training and evaluation workflows, to ...

Autodesk

Senior Machine Learning Engineer

Concord, NC · On-site +1

$97K - $133K/yr

Position Overview As a Senior Machine Learning Engineer, you will play a key role in designing, developing, and evolving machine learning systems that support conversational AI, search, multi-agent ...

Autodesk

Senior Machine Learning Engineer

New York, NY · On-site +1

$114K - $157K/yr

Position Overview As a Senior Machine Learning Engineer, you will play a key role in designing, developing, and evolving machine learning systems that support conversational AI, search, multi-agent ...

Autodesk

Senior Machine Learning Engineer

California, MD · On-site +1

$100K - $137K/yr

Position Overview As a Senior Machine Learning Engineer, you will play a key role in designing, developing, and evolving machine learning systems that support conversational AI, search, multi-agent ...

Leidos

Senior Machine Learning Engineer

Vista, CA

$107K - $195K/yr

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and release of object detection algorithms for our portfolio of products that help safeguard the flow of ...

Leidos

Senior Machine Learning Engineer

Vista, CA · On-site

$107K - $195K/yr

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and release of object detection algorithms for our portfolio of products that help safeguard the flow of ...

RIT Solutions, Inc.

Sr Machine Learning Engineer

Raleigh, NC · On-site

$101K - $139K/yr

RIT Solutions, Inc. is seeking a Senior Machine Learning Engineer to work on production machine learning at scale. The role involves deploying LLM/GenAI/RAG systems and requires expertise in cloud ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing ...

The Marlin Alliance

Sr Machine Learning Engineer

San Diego, CA · On-site

$110K - $152K/yr

The Marlin Alliance, Inc. is seeking a talented and experienced Senior Machine Learning Engineer to join our team. The successful candidate will be expected to design, develop, and implement advanced ...

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All JobsSenior Machine Learning Engineer Jobs

Senior Machine Learning Engineer information

See salary details

$59.5K

$126.6K

$183.5K

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

As of Jun 28, 2026, the average yearly pay for senior machine learning engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Senior Machine Learning Engineer jobs
What cities are hiring for Senior Machine Learning Engineer jobs? Cities with the most Senior Machine Learning Engineer job openings:
What are the most commonly searched types of Machine Learning Engineer jobs? The most popular types of Machine Learning Engineer jobs are:
Who are the top companies hiring for Senior Machine Learning Engineer jobs? The top employers for Senior Machine Learning Engineer jobs are:
What states have the most Senior Machine Learning Engineer jobs? States with the most job openings for Senior Machine Learning Engineer jobs include:
What job categories do people searching Senior Machine Learning Engineer jobs look for? The top searched job categories for Senior Machine Learning Engineer jobs are:
Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.
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 • On-site

$125K - $172K/yr

Full-time

Posted 15 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 73 rated pharmaceutical

Job description

Job Summary:
Genentech is a leader in healthcare innovation, focusing on advancing science and ensuring healthcare access for all. They are seeking a Machine Learning Engineer to enhance ML infrastructure and collaborate with data scientists, while a Senior Machine Learning Engineer will lead technical solutions and mentor junior engineers.
Responsibilities:
• 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.
• 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.
Qualifications:
Required:
• BS/MS with 2-3 years of industry experience required for Machine Learning Engineer - Infra
• Proven experience designing, deploying, and managing infrastructure on AWS (EC2, S3, RDS, etc.) for Machine Learning Engineer - Infra
• Proficiency in scripting languages (e.g., Python) and compiled languages (e.g., C++, Go, Rust) for Machine Learning Engineer - Infra
• Strong experience with Git and repository management for Machine Learning Engineer - Infra
• Excellent problem-solving skills and a proactive attitude, with the ability to anticipate needs and drive projects to completion for Machine Learning Engineer - Infra
• Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and influence technical decisions for Machine Learning Engineer - Infra
• Ability to thrive in a fast-paced environment and adapt to evolving requirements while adhering to corporate guidelines for Machine Learning Engineer - Infra
• BS/MS with 3-5 years of industry experience required for Senior Machine Learning Engineer - Infra
• Proven experience designing, deploying, and managing infrastructure on AWS (EC2, S3, RDS, etc.) for Senior Machine Learning Engineer - Infra
• Proficiency in scripting languages (e.g., Python) and compiled languages (e.g., C++, Go, Rust) for Senior Machine Learning Engineer - Infra
• Strong experience with Git and repository management for Senior Machine Learning Engineer - Infra
• Demonstrated ability to lead technical projects from conception to completion and deliver high-quality, scalable, and reliable software for Senior Machine Learning Engineer - Infra
• Excellent problem-solving skills and a proactive attitude, with the ability to anticipate needs and drive projects to completion for Senior Machine Learning Engineer - Infra
• Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and influence technical decisions for Senior Machine Learning Engineer - Infra
• Ability to thrive in a fast-paced environment and adapt to evolving requirements while adhering to corporate guidelines for Senior Machine Learning Engineer - Infra
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
Company:
Genentech is a biotechnology research company that specializes in genetic testing and personalized medicines. Founded in 1976, the company is headquartered in South San Francisco, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Genentech employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Genentech logo

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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