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Staff Machine Learning Engineer Jobs in Boston, MA

Capital One

Lead Machine Learning Engineer (IC)

Cambridge, MA · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

ICONSTAFF

Machine Learning Engineer

Cambridge, MA · On-site +1

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of autonomous intelligence. Spun out of MIT and backed by DoD contracts, we are building breakthrough AI and ...

Capital One

Sr. Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · Remote

$125K - $165K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data ...

Manulife

Senior Machine Learning Engineer

Boston, MA · Hybrid

$107K - $199K/yr

Senior Machine Learning Engineer Job Duties: Design and implement image processing solutions to enhance operational workflows and fraud detection. Duties include: * Design, develop, and maintain AI ...

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All JobsStaff Machine Learning Engineer JobsStaff Machine Learning Engineer Jobs in Boston, MA

Staff Machine Learning Engineer information

See Boston, MA salary details

$25K

$107.9K

$209.1K

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

As of Aug 14, 2026, the average yearly pay for staff machine learning engineer in Boston, MA is $107,906.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $135,800.00 per year, depending on experience, location, and employer.

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 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?

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.

What are the most commonly searched types of Staff Machine Learning Engineer jobs in Boston, MA?

The most popular types of Staff Machine Learning Engineer jobs in Boston, MA are:

What are popular job titles related to Staff Machine Learning Engineer jobs in Boston, MA?

For Staff Machine Learning Engineer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Staff Machine Learning Engineer jobs in Boston, MA look for?

The top searched job categories for Staff Machine Learning Engineer jobs in Boston, MA are:

Staff Machine Learning Engineer jobs near you
Infographic showing various Staff Machine Learning Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 2% As Needed, 76% Full Time, 16% Part Time, 1% Temporary, and 5% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $107,906 per year, or $51.9 per hour.

Senior / Staff Machine Learning Engineer, Applied AI

Lila Sciences

Cambridge, MA • On-site

$180K - $298K/yr

Full-time

Medical, Dental, Vision, Life

Re-posted 12 days ago

Job description

Your Impact at LILA
We are growing our Applied AI org and seeking talented Senior/Staff Machine Learning Engineers with expertise in LLM training, evaluation, and production-oriented ML systems. You'll work on improving Lila's AI models for customer-specific scientific needs, with a focus on turning frontier model capabilities into reliable workflows that can be evaluated, iterated, and used in real customer contexts. This is a rare chance to join an early team with the autonomy, flexibility, and compute to tackle frontier science problems.
Applied AI sits at the intersection of AI Research, model engineering, and product deployment. The team partners closely with AI Researchers and Software teams to adapt Lila models to customer workflows, improve model quality through experimentation, and ensure model behavior works well end to end inside the application.
This role is ideal for someone who can bridge research and engineering: training or adapting models, building evaluation loops, debugging model behavior, and collaborating across AI and Software to move promising capabilities into production-quality systems.
What You'll Be Building
  • Close the last-mile gap between Lila AI model capabilities and customer-specific scientific workflows.
  • Build evaluation loops that measure model quality, reliability, and customer fit.
  • Design experiments to improve model performance across applied customer use cases.
  • Feed customer learnings, data signals, and evaluation results back into the Lila AI model improvement cycles.
  • Partner with AI researchers to translate model improvements into usable capabilities.
  • Work with Software to integrate model behavior into end-to-end product workflows.
  • Debug model failures using traces, evaluations, customer context, and scientific feedback.
  • Build reusable tooling for model adaptation, evaluation, and deployment workflows.

What You'll Need to Succeed
  • Strong experience building, training, adapting, or evaluating machine learning models.
  • Strong software engineering skills in Python and modern ML frameworks such as PyTorch, JAX, or TensorFlow.
  • Experience with distributed ML training frameworks (Megatron-LM, TorchTitan, DeepSpeed, Ray)
  • Experience designing experiments, evaluation metrics, or test sets for model performance.
  • Ability to debug model behavior using data, traces, logs, and qualitative feedback.
  • Experience working across research and engineering teams to move ML capabilities into usable systems.
  • Familiarity with large language models, multi-modal models, or agentic AI systems.
  • Clear communication skills for translating customer needs into technical model improvements.

Bonus Points For
  • Experience adapting models for customer-facing or production workflows.
  • Experience with scientific, technical, or data-intensive customer use cases.
  • Experience building evaluation harnesses, model monitoring, or quality dashboards.
  • Familiarity with retrieval-augmented generation, tool use, or agentic workflows.
  • Experience with RL post-training, such as RLHF, GRPO, or tool-augmented RL.
  • Experience training MoE architectures.
  • Experience working with product or customer-facing teams to translate needs into ML improvements.

Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Expected Base Salary Range
$180,000-$298,000 USD
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We're All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

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