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Contract Machine Learning Engineer Jobs in Grafton, MA

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Contract Machine Learning Engineer information

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$31.9K

$130.4K

$195.9K

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

As of Aug 19, 2026, the average yearly pay for contract machine learning engineer in Grafton, MA is $130,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,800.00 and $157,000.00 per year, depending on experience, location, and employer.

What is a contract machine learning engineer?

A Contract Machine Learning Engineer is a professional who builds and deploys machine learning models on a temporary or project-based basis. They typically work with companies seeking specialized expertise in data science, model development, or AI integration without committing to a full-time hire. Responsibilities may include data preprocessing, model training, algorithm optimization, and deployment. Contract roles allow for flexibility and are often remote, making them ideal for businesses with short-term AI needs or startups looking to scale their machine learning capabilities quickly.

What are the typical day-to-day responsibilities of a contract machine learning engineer?

As a Contract Machine Learning Engineer, your daily tasks usually involve gathering and preprocessing data, building and fine-tuning machine learning models, and collaborating with software engineers and product managers to integrate your models into production systems. You may also meet with clients or internal teams to gather requirements and provide technical insights, as well as document and present your findings to stakeholders. Work is typically project-based and may require a high degree of independence, flexibility, and adaptability. This dynamic environment often exposes you to a variety of industries and technical challenges, making each project unique and providing valuable experience for professional growth.

What are the key skills and qualifications needed to thrive in the contract machine learning engineer position, and why are they important?

To thrive as a Contract Machine Learning Engineer, you need a strong background in machine learning algorithms, data preprocessing, statistical analysis, and proficiency in programming languages such as Python or R, often supported by a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms (AWS, Google Cloud, Azure) or certifications in these areas are common requirements. Excellent problem-solving, communication, and time management skills are vital, especially when working with cross-functional teams and managing multiple projects remotely. These skills ensure effective delivery of high-quality, scalable machine learning solutions within tight project timelines and diverse client environments.

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

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

What are popular job titles related to Contract Machine Learning Engineer jobs in Grafton, MA?

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

What cities near Grafton, MA are hiring for Contract Machine Learning Engineer jobs?

Cities near Grafton, MA with the most Contract Machine Learning Engineer job openings:

Contract Machine Learning Engineer jobs near you

Senior Machine Learning Engineer, Core Algorithms

Whoop

Boston, MA • On-site

$150K - $210K/yr

Full-time

Re-posted 28 days ago

Job description

WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives.
Our Machine Learning Core Algorithms team is responsible for developing novel algorithms and features that expand our health and fitness capabilities with wearable sensor data. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members. This role is located on our Core Algorithms team: performance-related insights for sleep, recovery, and exercise.
As a Senior Machine Learning Engineer on our Core Algorithms team, you will design, build, and productionize ML systems that deliver meaningful, personalized metrics to millions of members. You will own the ML systems you build in collaboration with applied machine learning scientists. You will work at the intersection of data science, backend engineering, and cloud infrastructure - deploying robust, scalable, and reliable ML solutions built on physiological and behavioral data streams. This role emphasizes strong coding skills, system design, and the ability to deliver production-ready ML systems.
Responsibilities:
  • Create, improve, and maintain production services that provide analysis for core features in collaboration with applied ML scientists and MLOps engineers.
  • Improve ML data pipelines, tooling, and validation systems that support robust model performance.
  • Work alongside applied ML scientists to translate research prototypes into production ML systems optimized for scale, latency and cost efficiency.
  • Collaborate with researchers and Product teams to align model development with physiological insights and member impact.
  • Build operational maturity within the Core Algorithms team as well as the broader Machine Learning team, developing processes for observability, alerting, and incident response (including on-call rotations).
  • Develop applied ML operational infrastructure (frameworks, evaluation criteria, performance validation).
  • Mentor other engineers and applied ML scientists on production practices, raising the bar through code and system design review.

Qualifications:
  • Bachelor's Degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master's preferred).
  • 4+ years of professional experience as an ML engineer, applied researcher, or software engineer with a focus on ML systems.
  • Experience working with time series data (wearable, physiological, or high-frequency sensor data).
  • Strong coding skills in Python with a track record of writing clean, production-quality code.
  • Experience designing, deploying and operating ML production systems at production scale (millions of users, real-time streaming and/or large-scale batch).
  • Experience deploying and maintaining ML backend services (APIs, reliability, observability, monitoring; AWS or GCP).
  • Preferred: 2+ years experience applying advanced mathematical and statistical techniques.

This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company's long-term growth and success.
The U.S. base salary range for this full-time position is $150,000-$210,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate's specific qualifications, expertise, and alignment with the role's requirements.
Learn more about WHOOP.
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About Whoop

Sourced by ZipRecruiter

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers users (Olympians, Professional Athletes, Fitness Enthusiasts, etc) to perform at a higher level through a deeper understanding of their bodies and daily lives.

Industry

Fitness and sports centers

Company size

501 - 1,000 Employees

Headquarters location

Boston, MA, US

Year founded

2012

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