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Remote Machine Learning Engineer Biotech Jobs in Auburn, WA

Atlassian

Senior Machine Learning System Engineer

Seattle, WA · On-site +1

$118K - $163K/yr

... engineers, and data scientists to create, train, evaluate, deploy, and manage Machine Learning models and pipelines. You will collaborate closely with product teams, such as Jira and Confluence, to ...

Atlassian

Senior Machine Learning System Engineer

Seattle, WA · On-site +1

$139K - $183K/yr

... engineers, and data scientists to create, train, evaluate, deploy, and manage Machine Learning models and pipelines. You will collaborate closely with product teams, such as Jira and Confluence, to ...

Atlassian

Senior Machine Learning System Engineer

Seattle, WA · On-site +1

$139K - $183K/yr

... engineers, and data scientists to create, train, evaluate, deploy, and manage Machine Learning models and pipelines. You will collaborate closely with product teams, such as Jira and Confluence, to ...

Outpost

Machine Learning Data Engineer

Seattle, WA · Remote

$130K - $160K/yr

Build and improve the continuous learning pipeline so new models ship weekly with minimal manual engineering effort. * Define functional acceptance criteria for CV accuracy per customer and track ...

Atlassian

Senior Machine Learning System Engineer

Seattle, WA · On-site +1

$118K - $162K/yr

As a senior Machine Learning Systems Engineer on the Search Platform team, you will own and drive the design, development, and production deployment of machine learning systems that power search ...

Atlassian

Senior Machine Learning System Engineer

Seattle, WA · On-site +1

$118K - $162K/yr

As a senior Machine Learning Systems Engineer on the Search Platform team, you will own and drive the design, development, and production deployment of machine learning systems that power search ...

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Remote Machine Learning Engineer Biotech information

See Auburn, WA salary details

$34.4K

$140.7K

$211.4K

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

As of Aug 20, 2026, the average yearly pay for remote machine learning engineer biotech in Auburn, WA is $140,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,900.00 and $169,300.00 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.

What job categories do people searching Remote Machine Learning Engineer Biotech jobs in Auburn, WA look for?

The top searched job categories for Remote Machine Learning Engineer Biotech jobs in Auburn, WA are:

What cities near Auburn, WA are hiring for Remote Machine Learning Engineer Biotech jobs?

Cities near Auburn, WA with the most Remote Machine Learning Engineer Biotech job openings:

Remote Machine Learning Engineer Biotech jobs near you

Software Engineer, Machine Learning RecSys

Meta

Seattle, WA • On-site, Remote

$183K/yr

Full-time

Re-posted 11 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 245 rated software companies

Job description

Meta is seeking talented Machine Learning engineers to join our teams in building cutting-edge products, with the mission of connecting billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for engineers who can help us advance the way people connect globally. If you're interested in joining a team and working on exciting projects that have a significant impact, we encourage you to apply.
Software Engineer, Machine Learning RecSys Responsibilities:
  • Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
  • Implement custom user interfaces using latest programming techniques and technologies
  • Develop reusable software components for interfacing with back-end platforms
  • Analyze and optimize code for quality, efficiency, and performance
  • Lead complex technical or product efforts and provide technical guidance to peers
  • Architect efficient and scalable systems that drive complex applications
  • Identify and resolve performance and scalability issues
  • Work on a variety of coding languages and technologies
  • Establish ownership of components, features, or systems with expert end-to-end understanding

Minimum Qualifications:
  • 3+ years of experience in software engineering or a relevant field. 2+ years of experience if you have a PhD
  • 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, artificial intelligence, or a related technical field
  • Experience with scripting languages such as Python, Javascript or Hack
  • Experience with developing machine learning models at scale from inception to business impact
  • Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
  • Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
  • Proven experience designing, building, or deploying recommendation systems (e.g., collaborative filtering, content-based, hybrid approaches, personalization at scale)
  • Experience building and shipping high quality work and achieving high reliability
  • Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Publications in top-tier conferences/journals, patents, or open-source contributions in the recommendations or LLM space
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience with scripting languages such as Pytorch and TensorFlow
  • Exposure to architectural patterns of large scale software applications
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Hands-on experience working with large language models (LLMs), such as BERT, GPT, or similar architectures, including fine-tuning, integration, or application in production environments
  • Master's degree or PhD in Computer Science or another ML-related field

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$183,997/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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