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Remote Machine Learning Engineer Biotech Jobs in Everett, WA

Machine Learning Engineer

Bellevue, WA · On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... Mountain View, SF/Bay: $117,000 - $152,000 gross USD Bellevue, Seattle, NYC, Remote CA: $104,100 ...

Senior Machine Learning Engineer

Bellevue, WA · On-site +1

$149K - $245K/yr

At Chewy, our Sponsored Ads Technology team based out of Bellevue, WA is looking for a Senior Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and offsite ...

Machine Learning Engineer III

Bellevue, WA · On-site +1

$148K - $225K/yr

The Chewy Sponsored Ads team is looking for a Senior Machine Learning Engineer in Bellevue, WA to help launch various innovative ads offerings for our sponsored advertisement initiatives. As ...

AI Engineer - Machine Learning 3

Redmond, WA · Remote

$117K - $140K/yr

Requirement - AI Engineer - Machine Learning 3 Location- Redmond, WA 98052-Remote Contract W2 Title: Machine Learning Data Scientist - Research Translation & Prototypin Top 3 Must-Have HARD Skills ...

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Showing results 1-20

Remote Machine Learning Engineer Biotech information

See Everett, WA salary details

$34.8K

$142.2K

$213.8K

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

As of Aug 7, 2026, the average yearly pay for remote machine learning engineer biotech in Everett, WA is $142,248.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $171,200.00 per year, depending on experience, location, and employer.

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 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 job categories do people searching Remote Machine Learning Engineer Biotech jobs in Everett, WA look for? The top searched job categories for Remote Machine Learning Engineer Biotech jobs in Everett, WA are:
What cities near Everett, WA are hiring for Remote Machine Learning Engineer Biotech jobs? Cities near Everett, WA with the most Remote Machine Learning Engineer Biotech job openings:

Machine Learning Engineer

Unitytech

Bellevue, WA • On-site, Remote

$117K - $152K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 4 days ago


Job description

The opportunity
Unity Vector builds an offline ML platform that powers insight, experimentation, attribution, and AI-driven decision-making across the company.

Our systems operate at scale across batch and streaming data, supporting analytics, product intelligence, machine learning pipelines, and business operations. As data volume and complexity grow, our platform enables large-scale model training, feature generation, and experimentation workflows that power production ML systems.

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply research-driven thinking to real-world machine learning problems.

You'll help build and evolve the infrastructure that powers training data generation, ML workflows, and distributed model training. Working closely with experienced engineers and researchers, you'll contribute to systems that ensure our ML pipelines are reliable, scalable, and efficient.

This role offers the opportunity to bridge research and production-translating advanced ideas into systems that operate at scale.

What you'll be doing

  • Build and maintain data pipelines that generate training datasets for machine learning models and experimentation
  • Contribute to infrastructure that supports distributed training workflows (e.g., PyTorch, Ray)
  • Work with workflow orchestration tools (e.g., Airflow, Flyte, or similar) to support multi-stage ML pipelines
  • Improve reproducibility and reliability through dataset validation, monitoring, and testing
  • Partner with ML engineers to support experimentation and model iteration
  • Help optimize performance and efficiency across data processing and training systems
  • Contribute to the evolution of our offline ML platform architecture as it scales

What we're looking for

  • Bachelor's degree in Computer Science, Machine Learning, Systems, or a related field
  • Strong foundation in machine learning systems, distributed systems, or large-scale data processing (through research or projects)
  • Experience with Python and working with data-intensive workloads
  • Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and/or distributed systems (e.g., Ray, Spark)
  • Experience (academic or applied) with data pipelines, model training workflows, or large datasets
  • Strong problem-solving skills and ability to translate research ideas into practical systems
  • Interest in building scalable, reliable infrastructure for machine learning
  • Nice to Have
  • Experience with workflow orchestration systems (Airflow, Flyte, etc.)
  • Exposure to large-scale data platforms (data lakes, warehouses, streaming systems)
  • Publications or research in ML systems, distributed systems, or related areas

Additional information

  • Relocation support is not available for this position
  • Work visa/immigration sponsorship is not available for this position

Base Salary Range: We determine the base salary range for this role based on your primary work location:

Mountain View, SF/Bay: $117,000 - $152,000 gross USD
Bellevue, Seattle, NYC, Remote CA: $104,100 - $135,300 gross USD

This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate's relevant experience, professional background, and skill set.


Benefits


At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.


Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.


While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program


Life at Unity


Unity [NYSE: U] is the world's leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D - closing the gap between ideas and reality. For more information, please visit www.unity.com.


Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.


Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.


This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.


Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.


Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.