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Remote Control Systems Research Jobs in Boston, MA

YO AI Labs

Biostatistician Expert - Remote

Boston, MA · Remote

$60 - $70/hr

Multiplicity control & ICH E9(R1) * Clinical trial data analysis * TFL production & QC * Regulatory ... Research). * MSc or PhD in Biostatistics, Statistics, or a related field. * Experience with ...

YO AI Labs

Biostatistician Expert - Remote

Boston, MA · Remote

$60 - $70/hr

Multiplicity control & ICH E9(R1) * Clinical trial data analysis * TFL production & QC * Regulatory ... Research). * MSc or PhD in Biostatistics, Statistics, or a related field. * Experience with ...

Massgeneralbrigham

Clinical Research Associate

Boston, MA · Remote

$20.16 - $29.01/hr

... systems analysts to advance our mission. As a not-for-profit, we support patient care, research ... Additional Job Details (if applicable) Remote Type Remote Work Location 55 Fruit Street Pay Range ...

Mass General Brigham

Clinical Research Associate

Boston, MA · On-site +1

$20.16 - $29.01/hr

... systems analysts to advance our mission. As a not-for-profit, we support patient care, research ... Additional Job Details (if applicable) Remote Type Remote Work Location 55 Fruit Street Pay Range ...

Databento

Systems Engineer

Boston, MA · On-site +1

Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, Tower Research, PDT ... We accommodate 100% remote work, with teammates living around the globe and paid in their local ...

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All JobsControl Systems Research JobsRemote Control Systems Research JobsRemote Control Systems Research Jobs in Boston, MA

Remote Control Systems Research information

See Boston, MA salary details

$66.3K

$118.2K

$190.7K

How much do remote control systems research jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote control systems research in Boston, MA is $118,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,300.00 and $137,400.00 per year, depending on experience, location, and employer.

What is remote control systems research?

Remote control systems research jobs focus on the study, development, and improvement of technologies that allow the operation of machines, devices, or processes from a distance. Professionals in this field design and test control algorithms, communication protocols, and interfaces to ensure reliable and secure remote operation. These roles are crucial in industries like robotics, aerospace, manufacturing, and transportation. Researchers may also explore emerging technologies such as wireless networks, AI integration, and cybersecurity to advance the field.

What are the typical collaboration dynamics for professionals in remote control systems research roles?

Professionals in Remote Control Systems Research often work as part of interdisciplinary teams, collaborating closely with engineers, software developers, and hardware specialists. Team members frequently engage in joint problem-solving sessions, contribute to design reviews, and participate in regular progress meetings to ensure project alignment. Effective communication is crucial, especially when working remotely or across different time zones, to integrate research findings into practical system improvements. Collaboration tools and version control systems are commonly used to manage shared projects and streamline workflow.

What are the key skills and qualifications needed to thrive as a remote control systems researcher?

To thrive as a Remote Control Systems Researcher, you need a solid background in control theory, systems engineering, and a relevant degree in electrical, mechanical, or computer engineering. Familiarity with simulation software like MATLAB/Simulink, real-time embedded systems, and programming languages such as Python or C++ is typically required. Strong analytical thinking, problem-solving ability, and effective communication skills help researchers excel in collaborative, innovative environments. These skills are crucial for developing, testing, and optimizing remote control systems that meet rigorous performance and reliability standards.

What is the difference between Remote Control Systems Research vs Remote Control Systems Engineering?

AspectRemote Control Systems ResearchRemote Control Systems Engineering
Required CredentialsTypically requires a master's or PhD in engineering, computer science, or related fieldsUsually requires a bachelor's or master's in electrical, mechanical, or systems engineering
Work EnvironmentResearch labs, academic institutions, R&D departmentsDesign, development, and testing in industrial or manufacturing settings
Employer & Industry UsageUniversities, research institutes, tech companiesManufacturers, automation companies, aerospace, automotive
Common Search & Comparison IntentUnderstanding research roles vs engineering roles in remote control systems

Remote Control Systems Research focuses on developing new theories, algorithms, and prototypes in controlled environments, often within academic or research institutions. In contrast, Remote Control Systems Engineering involves applying existing principles to design, implement, and maintain remote control systems in real-world industrial settings. Both roles require technical expertise but differ in their focus on innovation versus application.

What are popular job titles related to Remote Control Systems Research jobs in Boston, MA?

For Remote Control Systems Research jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Remote Control Systems Research jobs in Boston, MA look for?

The top searched job categories for Remote Control Systems Research jobs in Boston, MA are:

Remote Control Systems Research jobs near you
Infographic showing various Remote Control Systems Research job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 10% Part Time, 5% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $118,174 per year, or $56.8 per hour.

Research Engineer, Frontier Capabilities

Lila Sciences

Cambridge, MA • On-site, Remote

Full-time

Re-posted 10 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