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Remote Research Engineer Jobs in Boston, MA (NOW HIRING)

Tempus

Scientist II, Translational Research

Boston, MA · On-site +1

Work with Product and Engineering teams to streamline workflow of computational analyze Contribute ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Tempus

Scientist II, Translational Research

Boston, MA · On-site +1

$100K - $150K/yr

Work with Product and Engineering teams to streamline workflow of computational analyze Contribute ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Modulate

Machine Learning Engineer

Somerville, MA · On-site +1

$170K - $200K/yr

You'll work closely with researchers, engineers, product leaders, and executives to bring ... Hybrid work with core in-office days and flexible remote options * Leadership and technical ...

Modulate

Machine Learning Engineer

Somerville, MA · On-site +1

$170K - $200K/yr

You'll work closely with researchers, engineers, product leaders, and executives to bring ... Hybrid work with core in-office days and flexible remote options * Leadership and technical ...

Mondo

Instructional Designer

Boston, MA · Remote

$45 - $55/hr

Remote Start Date Is: Flexible Duration: 2 Month Contract (ad hoc) Compensation Range: $45-$55/hour ... Collaborate with designers, researchers, engineers, product managers, and other cross-functional ...

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All JobsResearch Engineer JobsRemote Research Engineer JobsRemote Research Engineer Jobs in Boston, MA

Remote Research Engineer information

See Boston, MA salary details

$40.2K

$115.2K

$154.8K

How much do remote research engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote research engineer in Boston, MA is $115,172.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $113,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Research Engineer position, and why are they important?

A Remote Research Engineer typically needs a strong background in scientific research methods, programming, data analysis, and a relevant degree in engineering or a related field. Familiarity with statistical software, cloud-based collaboration tools, and experience with programming languages such as Python or MATLAB are often required, with additional certifications in machine learning or data science considered advantageous. Excellent written and verbal communication, problem-solving abilities, and self-motivation are key soft skills for success in remote environments. These competencies enable effective independent work, high-quality research output, and seamless collaboration within distributed teams.

What is a Remote Research Engineer job?

A Remote Research Engineer is a professional who conducts research and develops new technologies, algorithms, or solutions while working remotely. They typically work in fields like artificial intelligence, machine learning, software development, or scientific research. Their responsibilities include designing experiments, analyzing data, and collaborating with teams using digital communication tools. This role requires strong problem-solving skills, self-motivation, and proficiency in programming or research methodologies. Remote Research Engineers often contribute to cutting-edge advancements while maintaining flexibility in their work environment.

What are some unique challenges faced by Remote Research Engineers and how can they be overcome?

Remote Research Engineers often encounter challenges related to collaborating across different time zones, ensuring clear communication, and maintaining access to necessary data or computational resources. To overcome these issues, it's important to leverage project management tools, establish regular virtual meetings, and proactively document and share research findings with the team. Strong time management and self-discipline are also essential to balance deep-focus research tasks with collaborative discussions. Organizations usually provide virtual platforms and cloud infrastructure to support seamless work, but developing personal workflows for communication and resource access can further enhance effectiveness in the role.

What are the most commonly searched types of Research Engineer jobs in Boston, MA? The most popular types of Research Engineer jobs in Boston, MA are:
What are popular job titles related to Remote Research Engineer jobs in Boston, MA? For Remote Research Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Research Engineer jobs in Boston, MA look for? The top searched job categories for Remote Research Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Remote Research Engineer jobs? Cities near Boston, MA with the most Remote Research Engineer job openings:
Remote Research Engineer jobs near you
Infographic showing various Remote Research Engineer job openings in Boston, MA as of July 2026, with employment types broken down into 82% Full Time, 5% Part Time, and 13% Contract. Highlights an 2% In-person, and 98% Remote job distribution, with an average salary of $115,172 per year, or $55.4 per hour.

Research Engineer, Frontier Capabilities

Lila Sciences

Cambridge, MA • On-site, Remote

Other

Posted 17 days ago

Job description

Your Impact at LILA

The AI Research team is tackling one of the most exciting, open problems in AI: training LLMs to run long-horizon scientific discovery tasks. Our approach spans the full post-training stack - from SFT to asynchronous RL on agentic harnesses - teaching models to plan, use tools, and learn from experience in domains where the ground truth isn't a preference label, but a scientific result.

We're rapidly growing our Research Engineering org and seeking talented engineers and ML practitioners across levels to design, build, and optimize systems to push this frontier: scaling post-training, sharpening reasoning, and unlocking compute-intensive agentic-harness training. This is a rare chance to join an early team with the autonomy, flexibility, and compute to tackle frontier science problems.

We operate with high agency, and a bias toward execution. Below are several focus areas within the team. We ask that candidates select the stream that best matches their experience and excitement.

Work Streams

Stream A: GPU Optimization & Training Performance

Maximize hardware utilization across 100B+ parameter asynchronous RL training runs. Responsibilities include profiling, performance optimization, custom kernel development, communication-computation overlap, and long-context throughput improvements. You set and maintain the performance baseline.

Stream B: Stack & Infrastructure

Own the post-training infrastructure end-to-end - supervised fine-tuning, asynchronous RL with tool integration, and data pipelines. Build modular, reproducible workflows with single-command execution. Manage upstream framework upgrades and deliver composable pipelines spanning Data, SFT, and RL stages. You work tightly with Research Scientists to develop and productionize novel algorithms to run at scale.

Stream C: Model Experimentation

Bring deep, hands-on experience training large language models. Lead experimentation on reasoning model development, including mixture-of-experts stabilization, curriculum design, and synthetic reasoning trace generation. You have a bias toward experimental design and tracking, and know how to prioritize runs that yield promising outcomes.

Stream D: Evaluations & Benchmarks

Design and build best-in-class scientific agentic benchmarks and harnesses, along with the dashboards and leaderboards that inform every training decision. You have experience working with well known public benchmarks and have spent time building bespoke agentic benchmarks and harnesses.

Stream E: Agentic Capabilities & Frontier Research

Train models capable of planning, exploration, and tool use over extended horizons. Advance the state of the art in RL at scale with tool-calling, subgoal decomposition, and shared memory/skills across trials to expand the frontier of scientific agent capabilities.

What You'll Need to Succeed

  • Strong software engineering skills in Python; C++/CUDA a plus
  • Experience with distributed ML training frameworks (Megatron-LM, TorchTitan, DeepSpeed, Ray)
  • Understanding of large-scale model training techniques for 100B+ models
  • Experience with cloud or HPC environment
  • Ability to communicate technical results to internal and external stakeholders

Bonus Points For

  • Prior work with large scale scientific datasets or domain-specific modeling
  • Contributions to open-source ML frameworks
  • Experience with RL post-training (RLHF, GRPO, tool-augmented RL)
  • Experience training MoE architectures

Location

San Francisco, CA or Cambridge, MA (Remote, Hybrid, and On-Site available depending on team needs).

Apply