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Senior Meta Machine Learning Jobs in Waltham, MA

Senior Machine Learning Engineer

Boston, MA · On-site

$133K - $175K/yr

The Crown Is Yours As a Senior Machine Learning Engineer, you'll design, implement, and scale production-grade data and machine learning pipelines that drive measurable business outcomes. You'll ...

Senior Machine Learning Engineer

Boston, MA · On-site

$133K - $175K/yr

The Crown Is Yours As a Senior Machine Learning Engineer, you'll design, implement, and scale production-grade data and machine learning pipelines that drive measurable business outcomes. You'll ...

We're looking for a Senior Machine Learning Engineer to help build and scale the next generation of data science and AI products in the journey. In this role, you'll leverage your engineering ...

Senior Machine Learning Scientist

Boston, MA · On-site

$99K - $135K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI ... PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML ...

As a Senior Manager, SaMD, you will own delivery and people outcomes across the machine learning engineers and applied ML scientists developing WHOOP's regulated health features. You will set ...

New

Senior Machine Learning Scientist

Boston, MA · On-site

$99K - $135K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI ... PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML ...

Showing results 21-40

Senior Meta Machine Learning information

See Waltham, MA salary details

$27K

$86.6K

$176.4K

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

As of Aug 8, 2026, the average yearly pay for senior meta machine learning in Waltham, MA is $86,618.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,800.00 and $111,100.00 per year, depending on experience, location, and employer.

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

AspectSenior Meta Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, ML, or related fields; experience with meta-learning frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentResearch-focused teams developing advanced ML models, often in AI companiesData analysis, modeling, and visualization across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, tech companies

While both roles involve machine learning expertise, Senior Meta Machine Learning specialists focus on developing advanced meta-learning algorithms, often in research settings, whereas Data Scientists apply data analysis and modeling techniques across diverse industries. The roles share similar educational backgrounds but differ in focus and application.

What are popular job titles related to Senior Meta Machine Learning jobs in Waltham, MA? For Senior Meta Machine Learning jobs in Waltham, MA, the most frequently searched job titles are:
What job categories do people searching Senior Meta Machine Learning jobs in Waltham, MA look for? The top searched job categories for Senior Meta Machine Learning jobs in Waltham, MA are:
What cities near Waltham, MA are hiring for Senior Meta Machine Learning jobs? Cities near Waltham, MA with the most Senior Meta Machine Learning job openings:
Infographic showing various Senior Meta Machine Learning job openings in Waltham, MA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $86,618 per year, or $41.6 per hour.

Senior Machine Learning Engineer

DraftKings, Inc.

Boston, MA • On-site

$133K - $175K/yr

Full-time

Re-posted 8 days ago


DraftKings rating

8.4

Company rating: 8.4 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

3rd 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 design, implement, and scale production-grade data and machine learning pipelines that drive measurable business outcomes. You'll partner closely with data scientists, engineers, and product managers to build systems that are well-structured, observable, and scalable. The Fintech Data Science team builds and maintains systems that protect DraftKings and its customers from fraud, payment risk, and abuse. Our mission is to enable explainable and reliable decision-making across all financial and operational flows - from registration and deposits, to gameplay and withdrawals.
What you'll do
  • Design, build, and maintain ETL and feature engineering pipelines that power risk and payment applications.
  • Develop production ML systems, from training and evaluation through deployment and monitoring.
  • Partner with data scientists to productionize models that integrate into DK's decisioning systems.
  • Build reliable, well-tested data workflows - from SQL-based feature transformations through model training and deployment.
  • Establish observability and monitoring for data quality, model drift, and service reliability.
  • Participate in code reviews, design discussions, and incident response, helping to maintain strong engineering practices.
  • Mentor junior engineers and contribute to shared tooling, documentation, and process improvements across the DS organization.
  • Support on-call rotations and post-incident reviews to ensure continuous system improvement.

What you'll bring
  • 3+ years of experience writing production Python applications and working with structured data (SQL and data modeling).
  • Strong software engineering fundamentals - object-oriented design, testing, and version control.
  • Familiarity with ML Ops frameworks such as model registry, orchestrations, and feature stores.
  • Experience building or maintaining data and feature pipelines in a data-heavy environment.
  • Understanding of the ML lifecycle, including feature engineering, training, and model serving.
  • Ability to debug production issues across data, model, and infrastructure layers.
  • Strong collaboration and communication skills; able to translate technical solutions into operational outcomes.
  • Bachelor's degree in Computer Science, Machine Learning, or a related technical field (Master's preferred).

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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