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Remote Computer Science Jobs in Cambridge, MA (NOW HIRING)

3Play Media

Senior Applied Data Scientist

Boston, MA · On-site +1

$150K - $180K/yr

... Science, Engineering, Computer Science or a related field Nice-to-haves * Strong academic and ... Remote -- United States Employment type: Full-time About 3Play Media 3Play Media is a technology ...

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Cleerly, LLC

Sr. ML Scientist

Boston, MA · On-site +1

While we are mostly a remote company, travel is required for some team meetings and cross function ... D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related ...

OneStudyTeam

Senior Data Scientist

Boston, MA · On-site +1

$140K - $190K/yr

D. in Statistics, Data Science, Computer Science, or a related quantitative field (or equivalent ... LI-Remote We value diversity and believe the unique contributions each of us brings drives our ...

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Remote Computer Science information

See Cambridge, MA salary details

$24.1K

$92.2K

$201.2K

How much do remote computer science jobs pay per year?

As of Jun 10, 2026, the average yearly pay for remote computer science in Cambridge, MA is $92,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,616.00 and $132,019.00 per year, depending on experience, location, and employer.

What Are Remote Computer Science Jobs?

Remote computer science jobs include a wide variety of roles focused on the use and analysis of computers and networks, including security specialists, network administrators, and software programmers. In these roles, you may develop hardware or software, control user accounts and permissions, analyze security procedures, manage confidential information, order repairs and replacements, manage inventory levels, conduct penetration tests, or manage a full development cycle for new software. Remote computer science jobs frequently use databases, private networks, intrusion detection systems, and remote conferencing software to help coordinate jobs. This is something of a catch-all term for computer-based positions, so if you are looking for a specific role, such as a remote programmer or remote computer engineer, you may need to narrow your search terminology.

How do remote computer science professionals typically collaborate with their teams to ensure project success?

Remote computer science professionals usually rely on a mix of communication and project management tools—such as Slack, Zoom, GitHub, and Jira—to collaborate effectively with their teams. Regular virtual meetings, code reviews, and shared documentation help maintain alignment and transparency. While working remotely offers flexibility, it can also require proactive communication and self-management to avoid misunderstandings and stay on track with deliverables. Many teams adopt Agile methodologies to structure their work and foster collaboration, regardless of physical location.

What are the key skills and qualifications needed to thrive as a Remote Computer Science professional, and why are they important?

To thrive as a Remote Computer Science professional, you need strong programming skills, problem-solving abilities, and a relevant degree or equivalent experience in computer science or software engineering. Proficiency with coding languages (such as Python, Java, or C++), version control systems like Git, and remote collaboration tools (e.g., Slack, Jira, Zoom) is essential. Excellent communication, self-motivation, and time management are vital soft skills for working independently and with distributed teams. These skills and qualities enable efficient development, seamless teamwork, and successful project delivery in a remote environment.

What are remote computer science jobs?

Remote computer science jobs are positions that involve the application of computer science principles—such as programming, software development, data analysis, and cybersecurity—that can be performed from any location with internet access. These roles often include software engineer, web developer, data scientist, system administrator, and more. Remote computer science professionals collaborate with teams virtually, using digital communication and project management tools. This flexibility allows employees to work from home or anywhere in the world, offering a better work-life balance and access to global job opportunities.
More about Remote Computer Science jobs
What are the most commonly searched types of Computer Science jobs in Cambridge, MA? The most popular types of Computer Science jobs in Cambridge, MA are:
What are popular job titles related to Remote Computer Science jobs in Cambridge, MA? For Remote Computer Science jobs in Cambridge, MA, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science jobs in Cambridge, MA look for? The top searched job categories for Remote Computer Science jobs in Cambridge, MA are:
What cities near Cambridge, MA are hiring for Remote Computer Science jobs? Cities near Cambridge, MA with the most Remote Computer Science job openings:
Remote Computer Science jobs near you
Director, AI & ML (US - Remote)

Director, AI & ML (US - Remote)

Newfire Global Partners

Boston, MA • On-site, Remote

$210K - $275K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

Director, AI & ML (US - Remote)
Department: Engineering
Employment Type: Full Time
Location: US
Reporting To: John Puopolo
Compensation: $210,000 - $275,000 / year
Description
Role Overview & Scope
Care Lumen is building an AI-first healthcare platform serving complex payer workflows across Care Management, Utilization Management, and LTSS.
We are seeking a Director of AI & Machine Learning to establish and lead our ML & AI function from the ground up. This is a foundational leadership role responsible for defining our AI strategy, building a high-impact team, and delivering production-grade ML and AI capabilities embedded directly into core payer workflows.
This leader will sit at the intersection of Engineering, Product, Clinical Operations, and Data - translating real-world healthcare complexity into safe, scalable AI systems that measurably improve automation, accuracy, and clinical efficiency.
This is not a research role. It is a production AI leadership role focused on delivering real, regulated, enterprise-grade systems. The ideal candidate is a builder-operator, not a pure data scientist and not an AI evangelist.
Leadership Profile
The ideal candidate is:
  • Strategically minded but execution-oriented
  • Comfortable with ambiguity and building from zero
  • Equally credible with engineers and executives
  • Passionate about responsible AI in high-stakes domains
  • Motivated by building long-term enterprise value and capability, not short-term experiments
  • Team-focused
  • Comfortable in a leadership role
  • A frequent and effective communicator

Key Responsibilities
1. AI Strategy & Architecture
  • Define and execute a multi-year AI roadmap aligned to product evolution and regulatory constraints (CMS, Medicaid, HIPAA, NCQA).
  • Architect scalable ML and generative AI systems embedded in software products.
  • Evaluate and select appropriate model strategies (predictive models, RAG pipelines, fine-tuned LLMs, reasoning models, agentic workflows).

2. Build & Lead the AI Function
  • Recruit and develop a small (4 to start), experienced team of ML engineers and applied AI specialists.
  • Establish experimentation standards, prompt engineering practices, evaluation benchmarks, and model lifecycle processes.
  • Create a culture of pragmatic, production-focused AI engineering.

3. Production AI Delivery
  • Deliver end-to-end ML/AI solutions, including:
  • Risk prediction models
  • Intelligent document summarization
  • RAG-based or knowledge-graph-based systems
  • Fine-tuned LLM applications
  • Agentic automation workflows
  • Ensure solutions are measurable, reliable, and embedded into production workflows.

4. MLOps & Governance
  • Establish robust MLOps pipelines (training, validation, deployment, monitoring).
  • Implement model observability, drift detection, and performance monitoring.
  • Partner with Security and Compliance to define responsible AI standards (fairness, bias evaluation, explainability, audit trails).
  • Design PHI-safe AI environments and secure data pipelines.

5. Cross-Functional Leadership
  • Partner with Product and Clinical leaders to identify high-value AI use cases.
  • Translate complex AI concepts into executive-ready business cases.
  • Guide organizational AI literacy and responsible adoption.

Skills, Knowledge & Expertise
  • BS in Computer Science, Data Analytics, ML/AI, or related field.
  • Minimum 10+ years in ML/AI engineering or applied data science
  • Minimum 4+ years leading teams or building AI functions in a Senior Manager or Director role
  • Proven track record delivering production ML, generative AI, and/or agentic systems at scale.
  • Demonstrated experience with relevant frameworks and patterns, e.g.,
  • Model evaluation and benchmarking
  • LLM fine-tuning (e.g., LoRA, instruction tuning)
  • RAG and/or KG architectures
  • Agentic systems & workflows
  • HuggingFace ecosystem
  • PyTorch / TensorFlow
  • MLOps (CI/CD for ML, monitoring, versioning)
  • Experience deploying and running ML/AL in cloud-native environments (AWS preferred)
  • Demonstrated experience applying governance and guardrails to AI and agentic systems
  • Strong understanding of regulated data environments (healthcare preferred)

What's Preferred
  • Masters of PhD in Computer Science, Data Analytics, ML/AI, or related field
  • Agentic AI framework experience (LangGraph, CrewAI, or similar)
  • Experience building AI platforms in PHI-safe or regulated environments
  • Knowledge of FHIR APIs and healthcare ontologies (SNOMED, LOINC)
  • Experience building AI Centers of Excellence or practice areas
  • Healthcare payer domain expertise (UM, CM, risk scoring, prior authorization)
  • Familiarity with CMS and Medicaid compliance considerations

What Success Looks Like (First 18-24 Months)
  • AI roadmap aligned to product strategy and regulatory realities
  • Built and retained a high-performing ML/AI team
  • Production deployment of multiple ML/AI/LLM-powered features
  • Implemented MLOps platform and model governance framework
  • Demonstrated measurable operational impact (e.g., reduced manual review time, improved prediction accuracy, workflow automation gains)
  • Responsible AI framework implemented with auditability and explainability

Compensation & Benefits
The expected total cash compensation for this role is market-driven, with an expected starting salary of $210,000 - $275,000 with up to 15% bonus. Salary is ultimately determined based on a candidate's skills, expertise, and experience.
Care Lumen offers a robust and comprehensive benefits package including:
  • Remote-first environment with company provided computer
  • Thirteen paid holidays per year (average)
  • Medical, dental and vision coverage with multiple levels of coverage
  • HSA, FSA and Dependent Care accounts
  • Short-term and Long-term disability
  • Life and accidental death insurance
  • Discounted voluntary benefits, such as additional life insurance
  • Employee Assistance Program
  • Paid Parental Leave
  • Flexible vacation time
  • 401(k) with employer matching and immediate vesting

Offers are contingent upon successful completion of a background screening. Background screenings will be conducted in compliance with applicable laws and will not be initiated without your consent.
Care Lumen is an equal opportunity employer committed to building a diverse and inclusive workplace. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other legally protected status.
We are committed to providing reasonable accommodations to qualified individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at apply@carelumen.com.
About Care Lumen
Care Lumen is transforming healthcare by connecting people, care, and data-so that every decision leads to better outcomes. We empower care teams with a unified platform that delivers intelligent, real-time insights, streamlined workflows, and stronger collaboration across clinical, operational, and administrative domains.
Our vision is bold: to reimagine how care is delivered by unifying clinical operations and unlocking insights that improve lives. We believe in the power of great people and purposeful technology-and with all of us aligned around a common goal, our potential grows even stronger. We're building for impact today and evolving through innovation tomorrow.
We're a remote-first company that values flexibility, autonomy, and results over hours logged. We're guided by values that push us to excel, stay curious, and take smart risks. The best solutions come from teams that listen, learn, and build together. And we're focused on outcomes that matter-not just for our clients, but for the people they serve.
Care Lumen's LinkedIn
Care Lumen's website
Process - What to Expect
Our hiring process typically includes:
  1. Applied
  2. Recruiter Interview
  3. Hiring Manager Interview
  4. Second Hiring Manager Interview
  5. Panel Interview
  6. Second Panel Interview
  7. Offer
  8. Background Check
  9. Hired - Welcome to Care Lumen!

Apply