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Remote Biomedical Machine Learning Jobs in Oregon

Liftoff

Senior Staff Software Engineer, Serving

OR · On-site +1

$122K - $161K/yr

To do so, we build Machine Learning and Big Data-driven technology that can accurately predict ... This role is eligible for full-time remote work in one of our entities: CA, CO, ID, IL, FL, GA, MA ...

New

Attain Talent

Lead AI/ML Engineer

OR · On-site +1

$180K - $230K/yr

Build, train, evaluate, and optimize machine learning models for production use cases ... Remote Work (Hybrid roles will be specified in the job post) * Competitive Compensation Package

SOSi

Senior Data Scientist

OR · On-site +1

... Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work Environment * Full remote flexibility. Working at ...

EM Key Solutions Inc

Temporary AI Engineer

OR · On-site +1

AI Engineer Temporary Assignment (through 2/13/2027) Remote, USA; potential for minimal ad hoc ... Experience with Azure AI Studio, Azure Machine Learning, vector databases, and prompt engineering.

EM Key Solutions Inc

AI Engineer

OR · On-site +1

AI Engineer Remote, USA; potential for minimal ad hoc travel EMKS is seeking an AI Engineer to ... Experience with Azure AI Studio, Azure Machine Learning, vector databases, and prompt engineering.

Cresta

Lead Engineer - AI Agent Voice Experience

OR · On-site +1

You will develop and improve machine learning systems that power voice experiences end to end ... Remote work setup budget or work-from-home stipend * Monthly wellness and communication allowance

Upstart

Senior Product Manager, Payments

OR · On-site +1

$126K - $166K/yr

Partner closely with Engineering, Data Analytics, Machine Learning, Design, Compliance, and product ... Remote Travel requirements As a digital first company, the majority of your work can be ...

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Remote Biomedical Machine Learning information

What is a remote biomedical machine learning job?

Remote biomedical machine learning jobs involve applying machine learning and artificial intelligence techniques to biomedical data, such as medical images, genetic information, or clinical records, while working from a remote location. Professionals in these roles develop algorithms to assist in disease diagnosis, drug discovery, or patient outcome prediction. These jobs typically require strong programming skills, experience with data science tools, and a background in biomedical sciences or related fields. Remote positions offer flexibility and the ability to collaborate with interdisciplinary teams from anywhere in the world.

What are some unique challenges faced when working remotely as a biomedical machine learning professional, and how can they be addressed?

Remote Biomedical Machine Learning professionals often face challenges related to accessing large and sensitive datasets, ensuring compliance with data privacy regulations, and maintaining effective communication with interdisciplinary teams such as clinicians and researchers. To address these, it's important to become familiar with secure data transfer protocols, collaborate closely with IT and compliance officers, and utilize robust project management and communication tools. Regular virtual meetings and clear documentation can help bridge gaps and ensure alignment on project goals.

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

Thriving in Remote Biomedical Machine Learning requires expertise in machine learning, data analysis, and a strong background in biomedical sciences, often supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, experience with frameworks like TensorFlow or PyTorch, and familiarity with medical data systems are typically necessary. Excellent problem-solving skills, communication abilities, and self-motivation are standout soft skills for remote collaboration and research. These competencies are vital to effectively develop innovative biomedical solutions, ensure data integrity, and drive impactful research in a distributed work environment.

What is the difference between Remote Biomedical Machine Learning vs Remote Biomedical Data Analyst?

AspectRemote Biomedical Machine LearningRemote Biomedical Data Analyst
Required CredentialsMaster's or PhD in Bioinformatics, Data Science, or related fields; experience with ML frameworksBachelor's or Master's in Biology, Data Analysis, or related; proficiency in data visualization and statistical tools
Work EnvironmentCollaborative remote teams, research labs, tech companiesRemote healthcare organizations, research institutions, biotech firms
Employer & Industry UsageTech companies, biotech startups, research institutionsHospitals, healthcare providers, pharmaceutical companies

Remote Biomedical Machine Learning specialists focus on developing algorithms and models to analyze biomedical data, often requiring advanced degrees and programming skills. In contrast, Remote Biomedical Data Analysts interpret and visualize biomedical datasets, typically with a focus on statistical analysis. Both roles are vital in healthcare and biotech industries but differ in technical depth and responsibilities.

What are popular job titles related to Remote Biomedical Machine Learning jobs in Oregon?

For Remote Biomedical Machine Learning jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Remote Biomedical Machine Learning jobs in Oregon look for?

The top searched job categories for Remote Biomedical Machine Learning jobs in Oregon are:

What cities in Oregon are hiring for Remote Biomedical Machine Learning jobs?

Cities in Oregon with the most Remote Biomedical Machine Learning job openings:

Remote Biomedical Machine Learning jobs near you

Senior Staff Software Engineer, Serving

OR • On-site, Remote

Liftoff
See more jobs at Liftoffexternal

$122K - $161K/yr

Full-time

Dental, Vision

Posted 2 days ago

New

Job description

At Liftoff, we're solving one of the core problems faced by every mobile app: growth. To do so, we build Machine Learning and Big Data-driven technology that can accurately predict which apps a user will like, and connect them in a compelling way. Our systems operate at a scale unseen outside of the largest Internet companies -- processing over 12 million requests per second and interacting with over 5 billion unique users each day.
The Serving team builds and maintains the mission-critical infrastructure responsible for serving ads across Liftoff's product line.

As an engineer on Liftoff's Accelerate Serving team, you will:

  • Design, build, and operate the high-throughput, low-latency services that receive bid requests, execute Liftoff's bidding logic, and respond to ad exchanges in real time.
  • Improve the performance, scalability, and reliability of systems that process millions of requests per second under strict latency constraints.
  • Develop and optimize GPU-powered inference services that execute neural network models using TensorRT.
  • Profile end-to-end inference pipelines to identify and eliminate bottlenecks in GPU utilization, batching, memory access, serialization, networking, and request handling.
  • Partner with machine learning engineers to productionize new model architectures and features, translating modeling requirements into efficient and reliable serving implementations.
  • Design and operate large feature store fleets that provide low-latency access to real-time and precomputed features.
  • Develop benchmarking and performance-analysis tools that help engineers compare models, understand latency and throughput trade-offs, and identify regressions before deployment.
  • Improve experimentation tooling that allows machine learning teams to orchestrate offline training runs, evaluate candidate models, and maintain model leaderboards.
  • Own changes through their full lifecycle-from system design and implementation to testing, deployment, observability, capacity planning, incident response, and continued optimization.

Requirements: 

  • Strong core Computer Science fundamentals (data structures, algorithms, system architecture)
  • 10+ years of industry experience
  • M.S.. or higher in Computer Science (or equivalent work experience)
  • Experience with Go is a plus

Location:

This role is eligible for full-time remote work in one of our entities: CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, PA, TX, UT, and WA

We are a remote-first company with US hubs in Redwood City, Los Angeles, and New York City.

Travel Expectations:
We offer several opportunities for in-person team gatherings, including but not limited to project meetings, regional meetups, and company-wide events. We expect our employees to attend these gatherings at least once per quarter. These gatherings provide essential opportunities for collaboration, communication, and team building.

Compensation:
Liftoff offers all employees a full compensation package that includes equity and health/vision/dental benefits associated with your country of residence. Base compensation will vary based on the candidate's location and experience.

The following are our base salary ranges for this role: 

  • SF Bay Area, NYC, Los Angeles/Orange County: $255,000 - $310,000 
  • Seattle/Olympia, Austin, San Diego, Santa Barbara, Boston: $234,000 - $285,000 
  • All other cities and towns in our approved states: $219,000 - $266,000 

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