They are seeking a skilled Machine Learning Engineer to build and deploy production ML systems for their data management and artificial intelligence platform for maritime domain awareness.
They are seeking a skilled Machine Learning Engineer to build and deploy production ML systems for their data management and artificial intelligence platform for maritime domain awareness.
Machine Learning Engineer
San Diego, CA · On-site +1
... machine learning models with minimal supervision, applyingsound statistical and engineering ... Ability to work effectively in a remote environment using collaboration tools Preferred Experience ...
Machine Learning Engineer
San Diego, CA · On-site +1
... machine learning models with minimal supervision, applyingsound statistical and engineering ... Ability to work effectively in a remote environment using collaboration tools Preferred Experience ...
AI/Machine Learning Engineer
Washington, DC · Remote
$129K - $155K/yr
IGS is currently pipelining for a remote AI/Machine Learning Engineer to support our work within the federal healthcare industry. Candidates will be contacted as opportunities become available for ...
AI/Machine Learning Engineer
Washington, DC · Remote
$129K - $155K/yr
IGS is currently pipelining for a remote AI/Machine Learning Engineer to support our work within the federal healthcare industry. Candidates will be contacted as opportunities become available for ...
Data Science & Machine Learning Engineer
$117K - $140K/yr
Remote, USA (Client Location ZIP: 01730) Duration: 6 Months Contract to Hire We are seeking an experienced Senior Data Science & Machine Learning Engineer to design, build, and deploy scalable data ...
Data Science & Machine Learning Engineer
$117K - $140K/yr
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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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
Machine Learning Engineer Location: Remote Preferred Resource Location: LATAM About Us: Maxiom ... Technology is a cutting-edge technology company at the forefront of AI-driven solutions. We ...
Quick apply
Machine Learning Engineer Location: Remote Preferred Resource Location: LATAM About Us: Maxiom ... Technology is a cutting-edge technology company at the forefront of AI-driven solutions. We ...
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 ...
New
Quick apply
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 ...
New
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 ...
New
Quick apply
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 ...
New
They are seeking a skilled Machine Learning Engineer to build and deploy production ML systems for maritime domain awareness, working on real-world projects that impact warfighter capabilities.
They are seeking a skilled Machine Learning Engineer to build and deploy production ML systems for maritime domain awareness, working on real-world projects that impact warfighter capabilities.
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 ...
New
Quick apply
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 ...
New
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 ...
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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 ...
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 ...
Quick apply
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 ...
Machine Learning Engineer
OR · On-site +1
As a Machine Learning at BetterHelp, you'll join a diverse team of licensed clinicians, engineers ... Remote work with regular in-person bonding experiences sponsored by the company * Competitive ...
Machine Learning Engineer
OR · On-site +1
As a Machine Learning at BetterHelp, you'll join a diverse team of licensed clinicians, engineers ... Remote work with regular in-person bonding experiences sponsored by the company * Competitive ...
Senior Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home
San Francisco, CA · Remote
$123K - $169K/yr
This position is 100% Remote. Senior Machine Learning Engineer Responsibilities: - Build core Machine Learning (ML) systems that power a proactive, long-horizon Artificial Intelligence (AI) product ...
Quick apply
Senior Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home
San Francisco, CA · Remote
$123K - $169K/yr
This position is 100% Remote. Senior Machine Learning Engineer Responsibilities: - Build core Machine Learning (ML) systems that power a proactive, long-horizon Artificial Intelligence (AI) product ...
Senior Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home
San Francisco, CA · Remote
$123K - $169K/yr
This position is 100% Remote. Senior Machine Learning Engineer Responsibilities: - Build core Machine Learning (ML) systems that power a proactive, long-horizon Artificial Intelligence (AI) product ...
Senior Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home
San Francisco, CA · Remote
$123K - $169K/yr
This position is 100% Remote. Senior Machine Learning Engineer Responsibilities: - Build core Machine Learning (ML) systems that power a proactive, long-horizon Artificial Intelligence (AI) product ...
Senior Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home
San Francisco, CA · On-site +1
$123K - $169K/yr
This position is 100% Remote. Senior Machine Learning Engineer Responsibilities: - Build core Machine Learning (ML) systems that power a proactive, long-horizon Artificial Intelligence (AI) product ...
Senior Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home
San Francisco, CA · On-site +1
$123K - $169K/yr
This position is 100% Remote. Senior Machine Learning Engineer Responsibilities: - Build core Machine Learning (ML) systems that power a proactive, long-horizon Artificial Intelligence (AI) product ...
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 ...
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 ...
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 ...
Quick apply
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 ...
Remote Machine Learning Engineer Biotech information
See salary details
$31.5K - $46.2K
1% of jobs
$46.2K - $61K
1% of jobs
$61K - $75.7K
5% of jobs
$75.7K - $90.4K
6% of jobs
$102.6K is the 25th percentile. Wages below this are outliers.
$90.4K - $105.1K
14% of jobs
$105.1K - $119.9K
14% of jobs
The median wage is $127.2K / yr.
$119.9K - $134.6K
18% of jobs
$134.6K - $149.3K
14% of jobs
$152.3K is the 75th percentile. Wages above this are outliers.
$149.3K - $164K
12% of jobs
$164K - $178.8K
11% of jobs
$178.8K - $193.5K
5% of jobs
$31.5K
$128.8K
$193.5K
How much do remote machine learning engineer biotech jobs pay per year?
As of Aug 24, 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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Job description
Job Summary:
Spear AI is a growing defense contracting company dedicated to delivering cutting-edge solutions that support our nation's security. They are seeking a skilled Machine Learning Engineer to build and deploy production ML systems for their data management and artificial intelligence platform for maritime domain awareness.
Responsibilities:
• Design, train, and optimize machine learning models using PyTorch
• Deploy models to production environments in the cloud and at the edge
• Build and maintain ML pipelines for training, evaluation, and inference
• Integrate machine learning models into real-time and batch processing systems
• Optimize model performance for accuracy, latency, and resource constraints
• Implement model monitoring, versioning, and deployment strategies
• Work with signal processing data and time-series analysis
• Improve local development and CI/CD for ML workflows using modern tooling and GitHub Actions
Qualifications:
Required:
• Several years of experience with Python and machine learning frameworks
• Expertise in PyTorch for building and training neural networks
• Experience training and serving models in cloud environments (AWS, Azure, GCP)
• Proficiency with MLOps practices including experiment tracking, model versioning, and deployment
• Experience with model optimization for production performance and scale
• Knowledge of Docker and Kubernetes for containerized deployments
• Familiarity with REST APIs and model serving frameworks
• Understanding of CI/CD pipelines for ML systems
• Strong fundamentals in machine learning including model architecture design, training strategies, and evaluation
Preferred:
• Experience with reinforcement learning algorithms and applications
• Digital signal processing experience
• Background in time-series analysis or sensor data processing
• Experience with edge deployment and model optimization for resource-constrained environments
• Familiarity with distributed training across multiple GPUs/nodes
• Experience with model compression techniques (quantization, pruning, distillation)
• Contributions to open-source ML projects or research publications
• Experience in defense, aerospace, or other regulated industries
Company:
Spear AI develops AI-powered software and hardware for maritime operations. Founded in 2021, the company is headquartered in Washington, USA, with a team of 51-200 employees. The company is currently Growth Stage.
Spear AI is a growing defense contracting company dedicated to delivering cutting-edge solutions that support our nation's security. They are seeking a skilled Machine Learning Engineer to build and deploy production ML systems for their data management and artificial intelligence platform for maritime domain awareness.
Responsibilities:
• Design, train, and optimize machine learning models using PyTorch
• Deploy models to production environments in the cloud and at the edge
• Build and maintain ML pipelines for training, evaluation, and inference
• Integrate machine learning models into real-time and batch processing systems
• Optimize model performance for accuracy, latency, and resource constraints
• Implement model monitoring, versioning, and deployment strategies
• Work with signal processing data and time-series analysis
• Improve local development and CI/CD for ML workflows using modern tooling and GitHub Actions
Qualifications:
Required:
• Several years of experience with Python and machine learning frameworks
• Expertise in PyTorch for building and training neural networks
• Experience training and serving models in cloud environments (AWS, Azure, GCP)
• Proficiency with MLOps practices including experiment tracking, model versioning, and deployment
• Experience with model optimization for production performance and scale
• Knowledge of Docker and Kubernetes for containerized deployments
• Familiarity with REST APIs and model serving frameworks
• Understanding of CI/CD pipelines for ML systems
• Strong fundamentals in machine learning including model architecture design, training strategies, and evaluation
Preferred:
• Experience with reinforcement learning algorithms and applications
• Digital signal processing experience
• Background in time-series analysis or sensor data processing
• Experience with edge deployment and model optimization for resource-constrained environments
• Familiarity with distributed training across multiple GPUs/nodes
• Experience with model compression techniques (quantization, pruning, distillation)
• Contributions to open-source ML projects or research publications
• Experience in defense, aerospace, or other regulated industries
Company:
Spear AI develops AI-powered software and hardware for maritime operations. Founded in 2021, the company is headquartered in Washington, USA, with a team of 51-200 employees. The company is currently Growth Stage.
About Spear AI
Sourced by ZipRecruiter
Industry
Guided missile and space vehicle manufacturing
Company size
11 - 50 Employees
Headquarters location
Washington, DC, US
Year founded
2020