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Machine Learning Data Associate Jobs in Massachusetts

Senior Machine Learning Engineer

Boston, MA

$113.50K - $155.90K/yr

Working at the intersection of data, engineering, and experimentation, you'll shape high-impact ... What you'll do as a Senior Machine Learning Engineer * Design and refine scalable pipelines for ...

Build AI models that make predictions based on large quantities of data. * Explain the usefulness of the AI models created to stakeholders. * Transform machine learning models into APIs to interact ...

Build AI models that make predictions based on large quantities of data. * Explain the usefulness of the AI models created to stakeholders. * Transform machine learning models into APIs to interact ...

We are seeking an exceptional Agentic AI and Machine Learning expert for the position of Senior Scientist, Data Science within our Pharmacokinetics, Dynamics, Metabolism, and Bioanalytics (PDMB ...

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this ... Data Pipeline Engineering : Optimize robust data loading pipelines that maximize training ...

Senior Machine Learning Engineer

Cambridge, MA · On-site

$133.90K - $176.50K/yr

Experience building data processing pipelines and large scale machine learning systems with experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc.Skilled in communication ...

Provide technical leadership across traditional data science, predictive modeling, machine learning, GenAI, LLMs, and production AI engineering. * Guide the team in building modular, scalable ...

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Machine Learning Data Associate information

See Massachusetts salary details

$10

$20

$33

How much do machine learning data associate jobs pay per hour?

As of May 30, 2026, the average hourly pay for machine learning data associate in Massachusetts is $20.46, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $21.78 per hour, depending on experience, location, and employer.

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

To thrive as a Machine Learning Data Associate, you need strong analytical skills, attention to detail, and a basic understanding of data annotation and labeling processes, often supported by a degree in computer science or a related field. Familiarity with data management tools, annotation platforms, and sometimes scripting languages like Python is typically required. Strong communication, collaboration, and problem-solving abilities help you work efficiently with data science teams and ensure high-quality outcomes. These skills and qualities are crucial for producing accurate datasets that directly impact the effectiveness of machine learning models.

How does a Machine Learning Data Associate typically collaborate with data scientists and engineers within a project team?

As a Machine Learning Data Associate, you play a vital role in supporting data scientists and engineers by annotating, cleaning, and organizing large datasets to ensure high data quality. You'll frequently communicate with team members to clarify labeling guidelines, provide feedback on data inconsistencies, and report any edge cases encountered during annotation. This collaboration ensures that the datasets used for training machine learning models are accurate and comprehensive, directly impacting the success of the project. Expect regular team meetings and ongoing feedback loops to maintain alignment with evolving project requirements.

What are Machine Learning Data Associates?

Machine Learning Data Associates are professionals who support the development of machine learning models by preparing, labeling, and validating data sets. Their work ensures that data used for training algorithms is accurate, consistent, and properly annotated. They may also assist with data cleaning, quality checks, and sometimes basic data analysis tasks. This role is crucial in industries where high-quality labeled data is essential for building effective AI systems.

What is the difference between Machine Learning Data Associate vs Data Analyst?

AspectMachine Learning Data AssociateData Analyst
Required SkillsData cleaning, labeling, basic programming, understanding of ML workflowsData interpretation, visualization, statistical analysis
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing, healthcare sectors
Common CertificationsData Science certifications, Python, SQLExcel, Tableau, SQL certifications

The main difference is that Machine Learning Data Associates focus on preparing and labeling data specifically for machine learning models, while Data Analysts interpret data to generate insights for business decisions. Both roles require strong data skills and often overlap, but their primary objectives and work environments differ.

What cities in Massachusetts are hiring for Machine Learning Data Associate jobs? Cities in Massachusetts with the most Machine Learning Data Associate job openings:
Infographic showing various Machine Learning Data Associate job openings in Massachusetts as of May 2026, with employment types broken down into 76% Full Time, 23% Part Time, and 1% Contract. Highlights an 96% Physical, 3% Hybrid, and 1% Remote job distribution, with an average salary of $42,564 per year, or $20.5 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

DraftKings

Boston, MA

$113.50K - $155.90K/yr

Full-time

Posted 27 days ago


DraftKings rating

8.2

Company rating: 8.2 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

4th of 15 rated gambling companies


Job description

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.

The Crown Is Yours

As a Senior Machine Learning Engineer, you'll join a team of algorithm experts and data science technologists building innovative data products that solve analytically complex challenges across the business. You'll turn cutting-edge machine learning research into scalable, production-ready systems that power critical decisions and customer experiences. Working at the intersection of data, engineering, and experimentation, you'll shape high-impact solutions from concept to deployment while influencing best practices across the organization.

What you'll do as a Senior Machine Learning Engineer
  • Design and refine scalable pipelines for training, evaluating, and deploying machine learning models across diverse use cases.

  • Build rigorous testing and statistical validation frameworks to measure model performance and ensure reliability in production.

  • Optimize models for production readiness, improving computational efficiency, latency, and resource utilization.

  • Implement real-time monitoring systems to detect data drift, model decay, and performance degradation, proactively maintaining model accuracy.

  • Partner with cross-functional teammates to design, build, and deploy end-to-end machine learning applications that scale with business growth.

  • Champion machine learning best practices, including responsible and ethical AI development, documentation, and reproducibility.

  • Identify and lead technical initiatives that elevate platform capabilities and advance the team's machine learning standards.

What you'll bring
  • At least 3 years of software engineering experience designing, building, and operating machine learning and artificial intelligence systems in production environments.

  • A strong foundation in machine learning and statistics, with proven experience applying them to solve complex, real-world problems.

  • Hands-on experience managing the full machine learning lifecycle, from data preparation and feature engineering to deployment and monitoring.

  • Expertise in Python, along with experience in additional languages or tools that support scalable machine learning systems.

  • Experience working with modern platform and infrastructure technologies such as Databricks, Kubernetes, and Terraform.

  • Strong communication and leadership skills, with the ability to influence stakeholders and collaborate effectively across teams.

  • A passion for mentoring teammates, sharing knowledge, and fostering technical growth within the team.

  • The ability to work autonomously, proactively identifying opportunities and driving technical improvements from idea to execution.

Join Our Team

We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role.

The US base salary range for this full-time position is 134,400.00 USD - 168,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. 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.

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