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Machine Learning Engineer Biotech Jobs in Boise, ID

SwiftCruit

Machine Learning Engineer

Boise, ID · On-site

$110 - $150/hr

As a Machine Learning Engineer in the Identity and Fraud business at Equifax, you will solve challenging technology problems and build architecturally sound, high-quality software that moves data ...

Micron

Principal Machine Learning Engineer

Boise, ID · On-site

As a Principal Machine Learning Engineer, willhave experiencein a variety of dataand cloudtechnologies and have extensive practice modeling data, querying, anddeployingscalable pipelinestoexecute ...

New

Bespoke Labs

Machine Learning Engineer

Meridian, ID · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Boise, ID · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Nampa, ID · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Micron

Staff Machine Learning Engineer

Boise, ID · On-site

... DevOps tools (GCP, AWS, Azure, Docker, Kubernetes), combined with strong analytical, communication, and collaboration skills. Preferred Qualifications: * Strong foundation in machine learning and ...

Micron

Staff Machine Learning Engineer

Boise, ID · On-site

Collaborate on data preprocessing and feature engineering to enhance the quality of input data for machine learning models. Build custom software components and analytics applications. Create ...

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All JobsMachine Learning Engineer Biotech JobsMachine Learning Engineer Biotech Jobs in Boise, ID

Machine Learning Engineer Biotech information

See Boise, ID salary details

$30K

$122.6K

$184.2K

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

As of Aug 13, 2026, the average yearly pay for machine learning engineer biotech in Boise, ID is $122,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,600.00 and $147,500.00 per year, depending on experience, location, and employer.

What does a machine learning engineer do in biotech?

A Machine Learning Engineer in biotech applies advanced algorithms and data analysis techniques to solve biological and medical problems. They work with large datasets such as genomic sequences, medical images, or clinical records to develop predictive models, automate data analysis, and uncover insights that can accelerate drug discovery, diagnostics, and personalized medicine. Their work often involves close collaboration with biologists, data scientists, and software engineers to create tools and solutions that improve healthcare outcomes. Machine Learning Engineers in this field need a strong background in both computational methods and biological sciences.

How do machine learning engineers in biotech typically collaborate with research scientists and domain experts?

Machine Learning Engineers in biotech often work closely with research scientists and domain experts to translate complex biological problems into data-driven solutions. This collaboration involves regular meetings to understand experimental data, refine project goals, and iterate on model development based on domain feedback. Engineers are expected to communicate technical concepts clearly, adapt models to fit scientific needs, and help validate results alongside laboratory teams. This interdisciplinary environment fosters innovation but also requires flexibility and strong communication skills.

What are the key skills and qualifications needed to thrive as a machine learning engineer in biotech?

To thrive as a Machine Learning Engineer in Biotech, you need a solid background in computer science, statistics, and biology, often with an advanced degree in a related field. Experience with programming languages such as Python or R, machine learning frameworks like TensorFlow or PyTorch, and familiarity with bioinformatics tools are typically required. Strong problem-solving, communication, and interdisciplinary collaboration skills set standout candidates apart. These capabilities are crucial for developing effective models that drive scientific innovation and advance biotechnological research.

What is the difference between Machine Learning Engineer Biotech vs Data Scientist Biotech?

AspectMachine Learning Engineer BiotechData Scientist Biotech
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related; knowledge of ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, coding, deploying algorithms in biotech R&DAnalyzes biological data, interprets results, creates reports
Employer & Industry UsageBiotech firms, pharma companies, research labsBiotech companies, healthcare, research institutions

While both roles work with biological data, Machine Learning Engineers focus on developing and deploying ML algorithms, whereas Data Scientists analyze and interpret biological datasets to inform research and decision-making in biotech settings.

What are popular job titles related to Machine Learning Engineer Biotech jobs in Boise, ID?

For Machine Learning Engineer Biotech jobs in Boise, ID, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Biotech jobs in Boise, ID look for?

The top searched job categories for Machine Learning Engineer Biotech jobs in Boise, ID are:

Machine Learning Engineer Biotech jobs near you

Machine Learning Engineer

SwiftCruit

Boise, ID • On-site

$110 - $150/hr

Other

Medical, Retirement, PTO

Posted 7 days ago

Job description

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.

This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.

As a Machine Learning Engineer in the Identity and Fraud business at Equifax, you will solve challenging technology problems and build architecturally sound, high-quality software that moves data through models to make automated decisions. You will achieve success through communicating, collaborating, and developing creative and performant solutions to help Equifax provide certainty in every digital transaction for our customers. You should be a creative, driven, motivated engineer that can think outside the box, have the ability to learn quickly, and can deliver high-quality working solutions that are both maintainable and scalable. You will work with data scientists to develop requirements for novel algorithms, and with operations and other developers to bring data transformation pipelines and machine learning models to practice.

What you’ll do
  • Design platforms and pipelines for researching, developing, and running machine learning models
  • Productionize machine learning models by building performant data transformations, storage, and pipelines
  • Develop and maintain microservices that serve data, model features, and scores to other internal services, as well as external customers
  • Demonstrate effective, respectful, and honest communication when collaborating with colleagues including a cross‑functional team consisting of Data Science, Operations, and Engineering
  • Apply development and testing best practices (including unit, service, and integration tests) and demonstrate excellent software craftsmanship to produce maintainable, scalable, and quality solutions.
  • Contribute to all phases of product development and delivery from Analysis & Design all the way through to successful Deployment.
  • Deliver on company initiatives and projects prioritized for your team and support long term technical vision.
  • Collaborate with the product team, architects, and others to document features and changes.
  • Identify gaps and iterative improvements to legacy model platforms, frameworks, or governance stacks
  • Adhere to and influence best practices (i.e. security, architecture, platform, etc.)
  • Participate in peer design and code reviews
  • Participate in on-call rotation with other engineers
What experience you need
  • BS in Computer Science, Engineering, or equivalent experience.
  • 3+ years of strong software engineering and software architecture background using languages such as Golang, Python, and SQL.
  • 3+ years of experience building RESTful APIs and/or gRPC within a distributed microservice architecture.
  • 2+ years of experience implementing Amazon Web Services (e.g., IAM, Lambda, EKS, Neptune, DynamoDB, RDS).
  • 2+ years of experience using IaC tooling such as Terraform
  • Experience working with machine learning frameworks such as SparkMLlib, Scikit-Learn, MLflow, or TensorFlow.
  • Experience serving ML model inference at scale in low‑latency (<30ms) environments.
  • Experience with metrics, logging, and evaluating model performance (e.g., DataDog, evaluation latency, and ROC curves).
What could set you apart
  • Experience with Snowflake
  • Experience with AWS EMR
  • Experience deploying diverse model architectures into production using portable formats like ONNX or MLeap.

We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!

Primary Location:

USA-ID-Boise

Function:

Function - Tech Dev and Client Services

Schedule:

Full time

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