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Machine Learning Train Jobs (NOW HIRING)

Machine Learning Engineer

Somerville, MA · On-site

$170K - $200K/yr

In this role, you'll design, train, evaluate, and deploy cutting‑edge machine learning models that power our products. You'll work closely with researchers, engineers, product leaders, and ...

Train, and deploy machine learning models in production environments. * Work with senior team members to develop enterprise quality ML systems, spanning multiple ML domains * Operationalize ML model ...

Train, and deploy machine learning models in production environments. * Work with senior team members to develop enterprise quality ML systems, spanning multiple ML domains * Operationalize ML model ...

Train and optimize generative models to accelerate development (e.g., diffusion models, VAEs, GANs). * Build and refine machine learning algorithms to enhance Howmet products across all business ...

Train, fine-tune, evaluate, and experiment with deep learning models, primarily for computer vision applications * Own machine learning outcomes end to end - from data quality and model performance ...

Responsibilities : • Design, train, and optimize machine learning models using PyTorch • Deploy models to production environments in the cloud and at the edge • Build and maintain ML pipelines ...

Train, fine-tune, evaluate, and experiment with deep learning models, primarily for computer vision applications * Own machine learning outcomes end to end - from data quality and model performance ...

Develop and support a platform that enables data scientists to rapidly develop, train, and experiment with machine learning models. Collaborate with other engineers and data scientists to design high ...

New

Machine Learning Engineer

Chicago, IL · On-site

$95K - $138K/yr

Train, evaluate, refine, and deploy machine learning models aligned with business objectives and product requirements * Design, implement, and automate large-scale model training, integration, and ...

Machine Learning Engineer

Miami, FL · On-site

$100 - $125/hr

The Machine Learning Researcher should be interested in Financial Markets, and will be directly ... Apply ML/AI tools like TensorFlow/PyTorch to build and train models for various applications.

Machine Learning Engineer

Chicago, IL · On-site

$100 - $125/hr

The Machine Learning Researcher should be interested in Financial Markets, and will be directly ... Apply ML/AI tools like TensorFlow/PyTorch to build and train models for various applications.

Showing results 21-40

Machine Learning Train information

See salary details

$25.5K

$42.6K

$88K

How much do machine learning train jobs pay per year?

As of Sep 10, 2026, the average yearly pay for machine learning train in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Machine Learning Train jobs?

For Machine Learning Train jobs, the most frequently searched job titles are:

Infographic showing various Machine Learning Train job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Engineer

Somerville, MA • On-site

Sierra Ventures
Investment Clubs and Venture Capital Companies • 11 - 50 employees

$170K - $200K/yr

Other

Medical, Dental, Vision, PTO

Re-posted 6 days ago


Key responsibilities

  • Design, train, evaluate, and deploy machine learning models for production applications

  • Collaborate with engineers, researchers, product managers, and company leadership to define and execute on ML initiatives

  • Analyze model performance and identify opportunities for improvement


Job description

Modulate is the leader in conversational voice intelligence. We enable enterprises to deeply understand how people communicate and take timely action based on those insights. Our products help detect harm, prevent fraud, and build safer, more trusted online and real-world voice environments. We are building a Conversation Intelligence Platform — APIs, workflows, and applications that bring voice understanding to customers at enterprise scale.

We're looking for a Senior Machine Learning Engineer to help advance the state of voice understanding at Modulate. In this role, you'll design, train, evaluate, and deploy cutting‑edge machine learning models that power our products. You'll work closely with researchers, engineers, product leaders, and executives to bring innovative ML solutions from concept to production.

Your Impact
  • Develop and deploy high-quality machine learning models that power Modulate's products
  • Advance our capabilities in conversational voice intelligence through applied research and engineering
  • Help translate business needs into scalable ML solutions
  • Improve model performance, reliability, and efficiency across our platform
  • Contribute to a collaborative, high‑performing engineering culture
What You Will Do
  • Design, train, evaluate, and deploy machine learning models for production applications
  • Collaborate with engineers, researchers, product managers, and company leadership to define and execute on ML initiatives
  • Conduct experiments to improve model quality, accuracy, robustness, and scalability
  • Partner with platform and infrastructure teams to operationalize and monitor ML systems in production
  • Analyze model performance and identify opportunities for improvement
  • Communicate technical findings, tradeoffs, and recommendations to both technical and non‑technical stakeholders
  • Contribute to technical strategy and help shape the future direction of Modulate's ML systems
  • Review code, share knowledge, and mentor teammates as needed
  • Stay current on advances in machine learning and identify opportunities to apply new techniques to our products
What We Are Looking For
  • Experience conducting machine learning research and shipping models to production
  • Strong experience building and deploying production‑grade machine learning systems
  • Strong experience with Python and PyTorch
  • Experience designing experiments and evaluating model performance
  • Ability to work across research and engineering disciplines to deliver business impact
  • Strong communication skills and the ability to explain complex technical concepts clearly
  • Experience working collaboratively in cross‑functional environments
Nice to Have
  • Experience communicating research externally through papers, conferences, or open‑source contributions
  • Experience with audio models or speech systems (ASR, TTS, speaker modeling, etc.)
  • Experience with cloud infrastructure, especially AWS
  • Experience building and maintaining large‑scale ML infrastructure or MLOps systems
  • Experience in fast‑paced startup environments
Benefits
  • Competitive salary + equity
  • Full health, dental, and vision coverage
  • Flexible PTO with a strong culture of taking it
  • Weekly team lunches with dietary accommodations
  • Hybrid work with core in‑office days and flexible remote options
  • Leadership and technical learning sessions
  • Career development and continued growth support
  • Up to 8 weeks work‑from‑anywhere policy
  • A deeply inclusive, human‑centered culture
Pay Transparency

Salary: $170,000–$200,000
Equity: Offered

Additional benefits include HSA, FSA, 15 company holidays, and professional development resources.

Candidates may be located anywhere in the U.S., with preference for proximity to major tech hubs such as Boston, San Francisco, Seattle, New York, or Austin.

About Modulate

Modulate is on a mission to make voice a force for good online. Our tools help communities thrive by proactively detecting toxic behavior, protecting user identity, and empowering safety teams. We're trusted by leaders in gaming and beyond—and we're growing fast.

We believe that great cultures don't just happen. That's why we've built a foundation of intentional systems: from bias‑reducing hiring practices to transparent pay to tools that help teams collaborate across communication styles. At Modulate, we treat people like people—and we're building technology that does the same.

Ready to join us? Apply here or reach out directly—we're excited to meet you.

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