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Staff Machine Learning Engineer Jobs (NOW HIRING)

Averity

Staff Machine Learning Engineer

Manhattan, NY · On-site

$170K - $215K/yr

Staff Machine Learning Engineer - AI Products Location: Hybrid in NYC (Bryant Park Office) Salary Range: $170,000 - $215,000 A leading health and wellness technology company is searching for a Staff ...

Ibotta, Inc

Staff Machine Learning Engineer

Denver, CO · On-site

$206K - $230K/yr

As a Staff Machine Learning Engineer, you will act as a technical leader and delivery owner for complex, high-impact ML initiatives spanning foundation models, data systems, and large-scale ML ...

Paylocity

Staff Machine Learning Engineer

As a Staff Machine Learning Engineer in Product & Technology, you will help Paylocity build and deploy Machine Learning solutions, to help our teams build better products faster, more reliably, and ...

webAI

Staff Machine Learning Engineer

Austin, TX · On-site

They are seeking an experienced Staff Machine Learning Engineer with a strong background in Large Language Models and Mixture of Experts to lead the development and optimization of advanced AI models ...

Intuit

Staff Machine Learning Engineer

Plano, TX · On-site

Overview Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll work alongside AI scientists and machine learning engineers to create AI-powered experiences. You'll be expected ...

Intuit

Staff Machine Learning Engineer

Plano, TX · On-site

Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll work alongside AI scientists and machine learning engineers to create AI-powered experiences. You'll be expected to help ...

Omnissa

Staff Machine Learning Engineer

Mountain View, CA · On-site

$162K - $342K/yr

As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems that power predictive analytics, personalization, automation, and intelligent platform behaviors.

Intuit

Staff Machine Learning Engineer

Mountain View, CA · On-site

$197K - $266K/yr

Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll be embedded inside a vibrant team of data scientists. You'll be expected to help conceive, code, and deploy data science ...

Remitly

Staff Machine Learning Engineer

Seattle, WA

$208K - $260K/yr

As a Staff Machine Learning Engineer in Remitly's Core AI/ML team, you'll work at the heart of our AI strategy. The Core AI/ML team is responsible for building the foundational machine learning ...

Intuit

Staff Machine Learning Engineer

Mountain View, CA · On-site

$197K - $266K/yr

Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll be embedded inside a vibrant team of data scientists. You'll be expected to help conceive, code, and deploy data science ...

Hive

Staff Machine Learning Engineer

Seattle, WA · On-site

$200K - $300K/yr

Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

Intuit

Staff Machine Learning Engineer

Mountain View, CA

$197K - $266K/yr

Overview Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll be embedded inside a vibrant team of data scientists. You'll be expected to help conceive, code, and deploy data ...

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All JobsStaff Machine Learning Engineer Jobs

Staff Machine Learning Engineer information

See salary details

$23K

$99.3K

$192.5K

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

As of Jul 4, 2026, the average yearly pay for staff machine learning engineer in the United States is $99,330.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $125,000.00 per year, depending on experience, location, and employer.

What does a staff ML engineer do?

A staff machine learning engineer leads the design, development, and deployment of complex machine learning models and systems. They often mentor team members, collaborate with cross-functional teams, and ensure scalable, efficient solutions using tools like Python, TensorFlow, or PyTorch. This role typically requires advanced knowledge of algorithms, data structures, and production environment considerations.

What are the typical collaboration and leadership responsibilities for a Staff Machine Learning Engineer?

As a Staff Machine Learning Engineer, you often serve as a technical leader, partnering with cross-functional teams including data scientists, product managers, and software engineers to develop and deploy machine learning solutions. You will mentor junior engineers, conduct code reviews, and help establish best practices for model development and deployment. In addition to hands-on technical work, you may be responsible for evaluating new tools, contributing to the broader ML strategy, and facilitating knowledge sharing sessions. This collaborative and leadership-focused approach helps ensure consistency, quality, and innovation across machine learning projects.

What engineer makes $500,000 a year?

Senior staff machine learning engineers at large tech companies or specialized AI firms can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require advanced skills in deep learning, data engineering, and experience with cloud platforms, along with a strong track record of impactful projects.

Will MLE be replaced by AI?

Staff Machine Learning Engineers design, develop, and deploy AI models, and their role involves understanding complex algorithms and data systems. While AI automation can handle certain tasks, MLEs are essential for creating, tuning, and maintaining AI systems, making complete replacement unlikely in the near term. Continuous learning and expertise in tools like Python, TensorFlow, or PyTorch are important for the role.

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 research director, often involving advanced skills in deep learning, data science, and software engineering. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities, with compensation reflecting the seniority and impact of the role.

What are the key skills and qualifications needed to thrive in the Staff Machine Learning Engineer position, and why are they important?

To thrive as a Staff Machine Learning Engineer, you need deep expertise in machine learning algorithms, software engineering, data analysis, and typically a strong academic background in computer science or related fields. Experience with Python, TensorFlow, PyTorch, cloud platforms, and a track record of delivering production-level ML systems are crucial, as are advanced degrees or relevant certifications. Strong leadership, communication, and mentoring skills help you effectively guide teams and collaborate across departments. These competencies are essential for designing robust ML solutions, leading technical initiatives, and ensuring successful project delivery in complex organizational environments.

What is a Staff Machine Learning Engineer job?

A Staff Machine Learning Engineer is a senior-level technical role responsible for designing, deploying, and optimizing machine learning models at scale. They provide technical leadership, mentor other engineers, and drive best practices in ML system architecture. This role often involves collaborating with cross-functional teams, improving model performance, and ensuring the reliability of machine learning solutions in production. Staff ML Engineers typically have deep expertise in algorithms, data infrastructure, and engineering processes. Their work focuses on solving complex problems and influencing the broader ML strategy within an organization.

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What cities are hiring for Staff Machine Learning Engineer jobs? Cities with the most Staff Machine Learning Engineer job openings:
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Staff Machine Learning Engineer jobs near you
Infographic showing various Staff Machine Learning Engineer job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 96% Full Time, 1% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $99,330 per year, or $47.8 per hour.
Staff Machine Learning Engineer

Staff Machine Learning Engineer

Averity

Manhattan, NY • On-site

$170K - $215K/yr

Full-time

Retirement

Posted 6 days ago

Job description

Staff Machine Learning Engineer - AI Products
Location: Hybrid in NYC (Bryant Park Office)
Salary Range: $170,000 - $215,000
A leading health and wellness technology company is searching for a Staff Machine Learning Engineer to help millions of people make smarter, healthier choices. If you're passionate about AI-driven personalization, recommendation systems, and search optimization, this is your chance to build the technology that powers AI for Millions.
What is the job?
  • Lead the design, development, and scaling of AI-powered recommendation systems for millions of users
  • Build robust ML models and MLOps pipelines that drive personalized insights
  • Partner with engineering, data science, and product teams to create next-level user experiences
  • Mentor and guide a team of top-tier ML engineers and data scientists
  • Work with cutting-edge tech like Python, Snowflake, Databricks, Kubernetes, AWS Ground Truth, and more

What skills do you need?
  • 7+ years of ML experience, with expertise in recommendation systems, search, NLP, LLMs, and deep learning
  • Proven track record of building scalable AI platforms used by millions
  • Mastery of Python, SQL, and ML algorithms
  • Experience leading high-performing teams in delivering AI-driven product features
  • A strategic thinker who brings business impact through AI innovation

+ Experience in Ad Tech
Perks & Benefits:
  • Competitive Salary & Bonus Structure - Earn up to $215k, annual performance bonuses + retirement match.
  • Flexibility Hybrid Work - Work from our beautiful Bryant Park office two days per week while enjoying the flexibility of remote work.
  • Work-Life Balance - Generous responsible time off policy - take the time you need.
  • Family Support - Paid maternity/paternity leave, fertility assistance and comprehensive benefits for growing families.
  • Wellness-First Culture - Monthly wellness allowances, mental health support, & access to our premium platform.
  • Professional Growth - Top-tier mentorship programs, career development training, and leadership opportunities.
  • Giving Back - Recognition programs + dedicated volunteer days to support causes you care about.
  • In-office Perks - Free lunches for hybrid employees and annual company-wide gathering to foster deeper connections.

Join us and shape the future of AI in health and wellness. Your work will impact millions, and your innovations will drive real change.
*Even if you don't meet 100% of the qualifications, we encourage you to apply.
Apply now and let's talk!

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