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Remote Bioinformatics Machine Learning Jobs in Massachusetts

Senior Machine Learning Engineer

Boston, MA · On-site +1

$174K - $287K/yr

As a Senior Principal Machine Learning Engineer focused on model optimization algorithms, you will ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$174K - $287K/yr

As a Senior Principal Machine Learning Engineer focused on model optimization algorithms, you will ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Principal Machine Learning Engineer

Boston, MA · On-site +1

$189K - $312K/yr

As a Machine Learning Engineer focused on model optimization algorithms, you will work closely with ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

The Opportunity Nucs AI is looking for a Machine Learning Scientist to deepen our ML research ... Autonomy and flexibility - Remote-first, flexible working. We hire great people and trust them to ...

Machine Learning Systems Engineer

Boston, MA · On-site +1

$144K - $192K/yr

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Lead Machine Learning Engineer - REMOTE

Boston, MA · Remote

$111K - $146K/yr

Join a Company that Empowers you to Build your Future Lennar is seeking a Machine Learning Engineer ... Remote work schedule, with a preference for candidates based in Miami, FL; Bentonville, AR; or ...

Lead Machine Learning Engineer - REMOTE

Boston, MA · On-site +1

$111K - $146K/yr

Join a Company that Empowers you to Build your Future Lennar is seeking a Machine Learning Engineer ... Remote work schedule, with a preference for candidates based in Miami, FL; Bentonville, AR; or ...

$53K - $72K/yr

This characterization is done by applying existing and novel computational biology, bioinformatic, and machine learning algorithms to sequencing datasets and correlating them with multi-dimensional ...

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Remote Bioinformatics Machine Learning information

How do remote bioinformatics machine learning professionals typically collaborate with cross-functional teams?

Remote bioinformatics machine learning professionals often work closely with biologists, data scientists, and software engineers. Collaboration is typically facilitated through virtual meetings, shared code repositories, and project management tools. Regular communication is essential to align on data requirements, model development, and interpretation of results. While remote work offers flexibility, it requires strong organizational skills and proactive engagement to ensure seamless teamwork and project success.

What is a Remote Bioinformatics Machine Learning specialist?

A Remote Bioinformatics Machine Learning specialist is a professional who applies machine learning techniques to biological data, such as genomics or proteomics, while working from a remote location. They analyze complex biological datasets to uncover patterns, make predictions, and contribute to advancements in areas like drug discovery, disease research, and personalized medicine. These specialists typically have strong skills in programming, statistics, biology, and data analysis, and collaborate with researchers and healthcare professionals through digital communication tools.

What are the key skills and qualifications needed to thrive as a Remote Bioinformatics Machine Learning Specialist, and why are they important?

To excel as a Remote Bioinformatics Machine Learning Specialist, a strong background in computational biology, statistics, and machine learning—often supported by an advanced degree in bioinformatics, computer science, or a related field—is essential. Proficiency with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and familiarity with bioinformatics tools and databases are typically required. Excellent problem-solving, self-motivation, and clear communication skills help professionals collaborate effectively and independently in remote environments. These abilities are vital for developing accurate models, interpreting complex biological data, and contributing meaningful insights to scientific research.

What is the difference between Remote Bioinformatics Machine Learning vs Remote Computational Biologist?

AspectRemote Bioinformatics Machine LearningRemote Computational Biologist
Required CredentialsMaster's or PhD in Bioinformatics, Computer Science, or related fields; experience in machine learningMaster's or PhD in Biology, Bioinformatics, or related fields; strong computational skills
Work EnvironmentRemote, collaborative teams in biotech, pharma, or research institutionsRemote or on-site, working in research labs or academic settings
Industry UsageUsed in biotech, healthcare, and pharmaceutical industries for data analysis and model developmentCommon in academic research, biotech, and healthcare for biological data interpretation

Remote Bioinformatics Machine Learning focuses on developing algorithms and models to analyze biological data using machine learning techniques. In contrast, Remote Computational Biologist applies computational methods to biological research questions, often integrating diverse data types. Both roles require strong computational skills and often overlap, but the former emphasizes machine learning expertise, while the latter has a broader biological research scope.

What are popular job titles related to Remote Bioinformatics Machine Learning jobs in Massachusetts? For Remote Bioinformatics Machine Learning jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Remote Bioinformatics Machine Learning jobs in Massachusetts look for? The top searched job categories for Remote Bioinformatics Machine Learning jobs in Massachusetts are:
What cities in Massachusetts are hiring for Remote Bioinformatics Machine Learning jobs? Cities in Massachusetts with the most Remote Bioinformatics Machine Learning job openings:
Machine Learning Operations Engineer

Machine Learning Operations Engineer

Modulate

Somerville, MA • On-site, Remote

$150 - $200K/hr

Full-time

Medical, Dental, Vision, PTO

Posted 3 days ago


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 Machine Learning Operations Engineer to own and scale the production inference systems behind Modulate's machine learning models. This role will focus on ensuring high availability, reliability, and efficiency of deployed models across our APIs and enterprise products as we rapidly grow in customer usage and model demand.

Your Impact

  • Own the reliability and performance of ML model inference systems in production

  • Ensure high availability of deployed models across APIs and enterprise products

  • Build systems to handle scaling, load variability, and production traffic growth

  • Reduce operational burden through better tooling, automation, and processes

  • Help define how Modulate runs ML systems at scale with reliability and efficiency

What You Will Do

  • Deploy, monitor, and maintain production machine learning inference systems

  • Oversee fleets of inference machines and ensure system health and performance

  • Design monitoring, alerting, and incident response systems for ML workloads

  • Participate in on-call rotations and lead incident response and debugging

  • Build systems and processes for scaling inference infrastructure under variable load

  • Improve reliability and observability of production ML services

  • Collaborate on infrastructure-as-code for production deployments

  • Support or contribute to GPU-based training and inference infrastructure

  • Work closely with ML and engineering teams to ensure smooth model deployments

  • (Optional growth area) Optimize model inference performance and latency

What We Are Looking For

  • Experience deploying and maintaining production software systems

  • Experience building monitoring and alerting systems for production environments

  • Experience with on-call rotations and incident response

  • Strong experience with AWS, Python, and Linux

  • Exposure to PyTorch or similar ML frameworks

  • Experience working with GPU-based applications and basic GPU tooling (drivers, runtime, monitoring)

  • Strong debugging and systems thinking skills

  • Ability to operate calmly in production incident environments

Nice to Have

  • Experience with ML model serving systems or dedicated model servers

  • Experience monitoring GPU performance for inference workloads

  • Experience optimizing machine learning model inference

  • Familiarity with audio or multimedia data (codecs, streaming, real-time systems)

  • Experience with infrastructure-as-code (e.g., Terraform, CloudFormation)

Benefits

  • Competitive salary + equity

  • Full health, dental, and vision coverage

  • Flexible PTO with 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 learning support

  • Up to 8 weeks work-from-anywhere policy

  • A deeply inclusive, human-centered culture

Pay Transparency
Modulate believes in transparency as a cornerstone of equity and trust. Compensation for this role is based on seniority, skills, and experience.

  • Salary: $150-$200K

  • Equity: Offered

  • Other perks: HSA, FSA, 15 holidays, professional growth resources

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.

A quick note as you apply

  • Please apply through the website rather than emailing [email protected]

  • For application questions ("Your fit for the role," "Your values/goals," "Why Modulate?"), focus on relevant experience and motivations

  • Avoid including protected demographic information

  • Keep responses authentic and in your own voice

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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