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Temporary Machine Learning Software Engineer Jobs in Boston, MA

Machine Learning Engineer

Cambridge, MA · On-site

$125K - $150K/yr

We seek a dynamic and passionate engineer with strong software fundamentals and a keen interest in ... Develop and deploy machine learning models for optimal performance and scalability. * Productivity ...

Xometry is seeking a Staff Software Engineer to join our core machine learning and data platform engineering organization. In this role, you will partner closely with the AI leadership team to ...

As a ML engineer with the Alexa AI team, you will be responsible for machine learning platform ... About the team Central Analytics and Research Science (CARS) is an analytics, software, and science ...

Senior Machine Learning Engineer

Boston, MA

$133K - $175K/yr

The Crown Is Yours As a Senior Machine Learning Engineer, you'll design, implement, and scale ... Strong software engineering fundamentals - object-oriented design, testing, and version control.

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 ... Strong software engineering fundamentals - object-oriented design, testing, and version control.

Machine Learning Engineer

Cambridge, MA · On-site

$135K - $200K/yr

We seek a dynamic and passionate engineer with strong software fundamentals and a keen interest in ... Develop and deploy machine learning models for optimal performance and scalability. * Productivity ...

Senior Software Engineer

Wilmington, MA · On-site

$133K - $176K/yr

They are seeking a highly motivated Software Engineer to develop frontend and backend solutions for optical metrology and inspection systems, focusing on machine control, machine learning, and image ...

Software Engineer

Boston, MA · On-site

$140K - $175K/yr

ECS is seeking a Software Engineer to support the execution of a variety of projects including Artificial Intelligence/Machine Learning and Big Data/Cloud Solutions, with a focus supporting Naval ...

Software Engineer 3

Wilmington, MA · On-site

$62.75 - $84.50/hr

Algorithms & Software Engineering ... Apply machine learning, image processing, computer vision, mathematics, and optics to develop ...

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Showing results 1-20

Temporary Machine Learning Software Engineer information

See Boston, MA salary details

$26.1K

$113.9K

$205.3K

How much do temporary machine learning software engineer jobs pay per year?

As of Jul 8, 2026, the average yearly pay for temporary machine learning software engineer in Boston, MA is $113,923.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,600.00 and $130,400.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Machine Learning Software Engineer vs Data Scientist?

AspectTemporary Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related fields; coding skillsBachelor's or Master's in CS, Statistics, or related fields; analytical skills
Work EnvironmentSoftware development teams, project-based rolesData analysis teams, research-focused roles
Employer & Industry UsageTech companies, startups, consulting firmsFinance, healthcare, tech, research institutions
Search & Comparison IntentOften compared for technical roles involving ML implementationCompared for data analysis and modeling expertise

The main difference is that a Temporary Machine Learning Software Engineer focuses on developing and deploying ML models within software projects, while a Data Scientist emphasizes data analysis, statistical modeling, and deriving insights from data. Both roles require strong technical skills, but their focus areas and typical tasks differ.

What cities near Boston, MA are hiring for Temporary Machine Learning Software Engineer jobs? Cities near Boston, MA with the most Temporary Machine Learning Software Engineer job openings:

Machine Learning / Reinforcement Learning Infrastructure Engineer

Eka Robotics

Cambridge, MA • On-site

$118K - $155K/yr

Full-time

Posted 5 days ago


Job description

Job Summary:
Eka Robotics is on a mission to build intelligence for the physical world through advanced robotics. They are seeking a Reinforcement/Machine Learning Infrastructure Engineer to design, implement, and maintain large-scale model training systems that will enhance their robotics research and deployment efforts.
Responsibilities:
• Own Training Infrastructure: Design, implement, and maintain robust systems for large-scale model training, including job orchestration, scheduling, checkpointing, and experiment tracking.
• Developer Experience & Tooling: Build streamlined, intuitive abstractions for launching, monitoring, debugging, and reproducing experiments, minimizing friction and maximizing productivity for our research teams.
• Scale Distributed Training: Work closely with researchers to reliably scale reinforcement learning and machine learning pipelines across compute clusters.
• Resource Management: Ensure efficient allocation and utilization of cloud-based compute resources while building the foundational systems needed for future scaling.
• Collaborate with Researchers: Partner with the research team to understand their needs, build infrastructure that supports cutting-edge methods, guide best practices for training at scale, and contribute to core JAX model and training code.
Qualifications:
Required:
• BS, MS or higher in Computer Science, Computer Engineering, Machine Learning or a related technical field.
• Strong software engineering fundamentals with a proven track record of building ML training infrastructure, internal developer platforms, or scalable systems.
• Hands-on experience with large-scale training using JAX (preferred), PyTorch, or TensorFlow.
• Familiarity with distributed training, multi-host setups, data pipelines, and managing workloads on cloud platforms or orchestration systems (e.g., Kubernetes, SLURM, GCP, AWS).
• Strong cross-functional communication skills, a deep ownership mindset, and a passion for building tools that improve the developer experience.
• Experience building automated testing pipelines, CI/CD for ML workflows, and custom logging/telemetry stacks.
Preferred:
• Background in robotics, reinforcement learning or other machine learning systems.
• Experience designing abstractions that balance researcher flexibility with system reliability.
Company:
Founded in , the company is headquartered in Cambridge, MA, US, , with a team of 11-50 employees. The company is currently Early Stage.