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Remote Machine Learning Engineer Biotech Jobs (NOW HIRING)

Accelint

Machine Learning Engineer

We are seeking an experienced Machine Learning Engineer / NLP Engineer to develop intelligent document understanding solutions powered by modern natural language processing (NLP) and large language ...

Calendly

Machine Learning Engineer

Well, we are looking for a Machine Learning Engineer who will deliver business value by executing ... Calendly uses the zip code of an employee's remote work location, or the onsite building location ...

Calendly

Machine Learning Engineer

Well, we are looking for a Machine Learning Engineer who will deliver business value by executing the full machine learning lifecycle hands-on, from problem discovery through model deployment and ...

Amgen, Inc.

Senior Machine Learning Engineer

$107K - $146K/yr

Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest ... This role is eligible for remote in the US. Roles & Responsibilities: * Deliver AI and ML-enabled ...

Theory AI

Machine Learning Engineer

Washington, DC · Remote

$3.0K/wk

This is a Remote (work from home) position. Most of the machine learning work that reaches ... Able to explain a technical trade-off to a client who is not an engineer Nice to have * Worked ...

Amgen

Senior Machine Learning Engineer

$107K - $146K/yr

Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest ... This role is eligible for remote in the US. Roles & Responsibilities: * Deliver AI and ML-enabled ...

Theory AI

Machine Learning Engineer

Washington, DC · Remote

$3.0K/wk

This is a Remote (work from home) position. Most of the machine learning work that reaches ... Able to explain a technical trade-off to a client who is not an engineer Nice to have * Worked ...

Theory AI

Machine Learning Engineer

Washington, DC · Remote

$3.0K/wk

This is a Remote (work from home) position. Most of the machine learning work that reaches ... Able to explain a technical trade-off to a client who is not an engineer Nice to have * Worked ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · Remote

$125K - $165K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Canals

Machine Learning Engineer

New York, NY · Remote

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

Canals

Machine Learning Engineer

Denver, CO · Remote

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

Deeter Analytics Inc

Machine Learning Engineer

Machine Learning Engineer About the role Deeter Analytics is a privately held investment research ... The role is full-time and fully remote, US-based. What you'll own * The project. A new research ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

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Remote Machine Learning Engineer Biotech information

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How much do remote machine learning engineer biotech jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote machine learning engineer biotech in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What does a remote machine learning engineer do in biotech?

A Remote Machine Learning Engineer in the biotech industry develops and implements machine learning models to analyze biological data, such as genomics, proteomics, or medical imaging. They collaborate with scientists and researchers to interpret complex datasets, automate data-driven processes, and drive innovation in drug discovery, diagnostics, or personalized medicine. Working remotely, they use programming, data science, and domain knowledge to create solutions that improve research efficiency and outcomes in biotechnology.

What are common challenges faced by remote machine learning engineers in biotech, and how can they be addressed?

Remote machine learning engineers in biotech often face challenges such as managing large datasets securely, collaborating effectively across multidisciplinary teams, and staying updated with the latest scientific and technical developments. Communication is key—regular video meetings and clear documentation help bridge gaps with colleagues in research, data science, and regulatory domains. Additionally, leveraging secure cloud platforms and adhering to data privacy regulations are essential for handling sensitive biological information. Staying proactive with self-learning and participating in online forums or company-sponsored training can also help address these challenges.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer in biotech, and why are they important?

To thrive as a Remote Machine Learning Engineer in Biotech, you need a strong background in computer science, statistical modeling, and biology, typically supported by a relevant degree and experience in data-driven research. Proficiency with programming languages like Python or R, machine learning frameworks (such as TensorFlow or PyTorch), and bioinformatics tools is essential, and certifications in data science or machine learning are advantageous. Strong problem-solving, communication, and collaboration skills are crucial for working effectively in remote, interdisciplinary teams and explaining complex results to stakeholders. These skills ensure accurate model development, effective knowledge transfer, and impactful contributions to biotech innovations.
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Remote Machine Learning Engineer Biotech jobs near you
Infographic showing various Remote Machine Learning Engineer Biotech job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Machine Learning Engineer

Accelint

Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago

Job description

Lyntris is a defense technology company that connects sensing to action across the connected battlespace. Lyntris brings together the talents of Accelint and Vitesse teams under one mission, with each contributing deep expertise within their domain. Combining differentiated hardware, software and mission expertise, Lyntris helps customers sense threats, make sense of complex conditions and act with greater speed, precision and confidence in contested environments.
Lyntris supports U.S. and allied defense organizations across every branch - including Navy, Army, Air Force, Space Force and allied partners - spanning strategic, operational and tactical missions and every domain: Space, Air, Land, Sea and Cyber. With more than 200 active defense programs, Lyntris works at every level of the mission, from national command authority to the tactical edge.
Solutions are designed by operators who understand the mission, engineered for the conditions that degrade or defeat standard systems, and built on an open, modular architecture that integrates into existing programs without requiring them to start over. Lyntris moves faster than the traditional defense cycle - with integrated design, build and test capabilities in-house - and delivers systems that sustain and endure long after initial fielding.
We are seeking an experienced Machine Learning Engineer / NLP Engineer to develop intelligent document understanding solutions powered by modern natural language processing (NLP) and large language models (LLMs). In this role, you will build and optimize pipelines that transform complex technical documentation into structured, machine-actionable knowledge. You will work with transformer models, retrieval-augmented generation (RAG), and advanced document processing techniques to enable search, question answering, summarization, and information extraction across engineering and technical content.
Duties & Responsibilities
  • Design, develop, and maintain NLP pipelines for technical and structured document understanding, including information extraction, summarization, semantic search, and question answering.
  • Build and optimize LLM-powered applications using transformer-based models, including fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) architectures.
  • Process and analyze complex technical corpora, including engineering manuals, specifications, technical reports, drawings, tables, and figures.
  • Develop methods to convert unstructured and semi-structured documents into structured, machine-actionable knowledge for downstream applications.
  • Implement scalable machine learning solutions using Python and modern ML frameworks such as PyTorch and Hugging Face.
  • Evaluate model performance, improve accuracy, and optimize inference pipelines for production environments.
  • Collaborate with cross-functional teams, including software engineers, data scientists, and subject matter experts, to define requirements and deliver AI-enabled document intelligence solutions.
  • Performs other duties as assigned.

Required Qualifications
  • Bachelor's degree in Computer Science, Data Science, AI/Machine Learning, or a related technical field (or equivalent practical experience).
  • 2-4 years of experience building NLP pipelines for technical or structured document understanding, including extraction, summarization, semantic search, and question answering.
  • Hands-on experience with large language models (LLMs) and transformer architectures (BERT and successor models), including fine-tuning, prompt engineering, pipeline orchestration, and retrieval-augmented generation (RAG).
  • Experience processing complex technical documentation such as engineering manuals, specifications, technical artifacts, tables, and figures.
  • Strong proficiency in Python and modern machine learning frameworks, including PyTorch and Hugging Face Transformers.
  • Demonstrated experience converting unstructured text into structured, machine-actionable knowledge.
  • Currently holds an active U.S. national security clearance or be able to receive and maintain one.

Preferred Qualifications (Not Required)
  • Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
  • Experience deploying and maintaining production-scale NLP or LLM applications.
  • Familiarity with vector databases, embedding models, and semantic retrieval systems.
  • Experience with document parsing, OCR, layout-aware models, or multimodal document understanding.
  • Experience working with engineering, manufacturing, aerospace, defense, or other highly technical datasets.
  • Knowledge of MLOps practices, model monitoring, CI/CD pipelines, and cloud-based AI infrastructure.
  • Active-duty military experience.

Physical Requirements
  • Prolonged periods sitting at a desk and working on a computer.
  • Must be able to lift up to 15 pounds at times.

Clearance Requirements
Some positions will require access to U.S. National Security information. Positions that require this access will be required to receive and maintain a U.S. government personnel security clearance (PCL). In order to qualify for this position, the candidate must be a US Citizen and either currently possess this National Security eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment. To learn more about the security clearance process please access this link.
EEOC & Know Your Rights
Lyntris companies are Equal Opportunity Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran or any other status protected by applicable federal, state, and local law. We ensure that all employment decisions, including hiring, promotion, compensation, and other terms and conditions of employment, are based on merit, qualifications, and business needs. For more information about your rights, please review the "Know Your Rights" poster from the Equal Employment Opportunity Commission (EEOC). Know your Rights: English Spanish
Pay Scales & Benefits
The listed pay scale reflects the broad, minimum to maximum, pay scale for this position for the location for which it has been posted and is not a guarantee of compensation or salary. Other compensation considerations may include, but are not limited to, job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, or other applicable factors.
Benefits include...
• Paid Time Off
• Paid Company Holidays
• Medical, Dental & Vision Insurance
• Optional HSA and FSA
• Base and Voluntary Life Insurance
• Short Term & Long-Term Disability Insurance
• 401k Matching
• Employee Assistance Program

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