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Remote Machine Learning Software Engineer Jobs in Pennsylvania

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Experience with software engineering practices for research-grade code, version control (Git ...

Senior Embedded Software Engineer

Pittsburgh, PA ยท On-site +1

$149K - $198K/yr

Experience deploying Machine Learning models. * Experience working with GPUs. * Experience working ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Senior Software Engineer

Calumet, PA ยท Remote

$240K - $280K/yr

Senior Software Engineer (Rust / C++) Remote (North America) | $220,000-$280,000 Base + Bonus ... Annual conference, learning, wellness, and home office stipends * Regular team offsites and ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... ML engineers, and software developers Preferred skills/experience includes: * Experience ...

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Showing results 1-20

Remote Machine Learning Software Engineer information

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

AspectRemote Machine Learning Software EngineerRemote Data Scientist
Required CredentialsBachelor's or higher in CS, ML, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDeveloping ML models, coding, deploying algorithmsAnalyzing data, building models, interpreting results
Industry UsageTech, finance, healthcare, e-commerceTech, finance, healthcare, research institutions

While both roles involve working with data and algorithms, Remote Machine Learning Software Engineers focus on developing and deploying machine learning models through coding, whereas Remote Data Scientists analyze data to extract insights and build statistical models. Both roles often collaborate but serve different primary functions within organizations.

What are the most commonly searched types of Machine Learning Software Engineer jobs in Pennsylvania? The most popular types of Machine Learning Software Engineer jobs in Pennsylvania are:
What are popular job titles related to Remote Machine Learning Software Engineer jobs in Pennsylvania? For Remote Machine Learning Software Engineer jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Software Engineer jobs in Pennsylvania look for? The top searched job categories for Remote Machine Learning Software Engineer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Remote Machine Learning Software Engineer jobs? Cities in Pennsylvania with the most Remote Machine Learning Software Engineer job openings:
Infographic showing various Remote Machine Learning Software Engineer job openings in Pennsylvania as of June 2026, with employment types broken down into 13% Internship, 61% Full Time, 13% Part Time, and 13% Contract. Highlights an 100% Remote job distribution.

Software Engineer (Full Stack)

Oncora Medical

Philadelphia, PA โ€ข Remote

$80/hr

Other

Medical, Dental, Retirement, PTO

Posted 9 days ago


Job description

Software Engineer (Full Stack)

Oncora is an oncology software and data company dedicated to helping physicians and scientists collect and use real-world data to improve outcomes for cancer patients. Our machine learning algorithms, which are deployed in active clinical environments, accurately predict oncology outcomes such as unplanned hospitalization, survival, and recurrence. Our software products include: a clinical workflow and data entry system for oncology clinical care, a data warehouse that leverages connections to other healthcare software systems such as EMRs, PACS, to amass real-world, regulatory-grade oncology data, a machine learning platform to train and validate predictive models of key oncology events, a machine learning API to power external software tools, and a virtual clinical trial platform that allows pharma and device companies to leverage automated medical image analysis to advance new technologies in the fight to cure cancer. We work with world-leading cancer centers such as MD Anderson and Northwell Health, global device companies such as Varian Medical Systems, and innovative biopharma companies. Our team is mission-driven to its core.

Job Description

We are looking for an experienced engineer to join our mission driven team to help develop our data platform that integrates and transforms multiple imperfect and messy data sources into clean, usable data so that we can learn from every cancer patient. As a main contributor on our Platform and Integrations team, you will play a vital role in developing and operating our core data platform and helping scale it to serve additional hospitals. We are a small team trying to tackle a very large problem, so we need teammates that are ultimately accountable to themselves and continuously push themselves, the product and the organization forward.

What you will be doing:

  • Gaining a deep understanding of oncology data and clinical workflows to be a better champion for our users
  • Working with product and engineering leadership to build a performant, user-friendly web application
  • Improving our frontend architecture as we expand our suite of products to meet a variety of clinical use cases
  • Adding new functionality to our GraphQL and REST APIs to support new product features
  • Instrumenting our API layer for metric collection, monitoring and alerting
  • Integrating the data generated by our data capture tool into our data platform and descriptive analytics product
  • Providing feedback (both design and code) to your peers
Qualifications

About you:

  • A solid base of software engineering experience, typically 1-5 years, in a modern single-page application environment
  • Fluency with the JavaScript / TypeScript ecosystem, modern frontend frameworks and build tools (we use React, Typescript, Webpack)
  • Strong foundation in programming, algorithms, and software application design
  • Tendency to seek simple, elegant solutions to complex problems
  • Ability to analyze and optimize existing solutions
  • Familiarity with various database technologies, including relational, document, key/value, columnar, etc (we use Postgres, Redis, MongoDB)
  • Experience with cloud computing providers (we use AWS)
  • Familiarity with modern containerized environments (we use Docker & Kubernetes)

Bonuses:

  • Experience with healthcare data standards and integrations (HL7, FHIR, DICOM, etc.)
  • End-to-end experience working on greenfield products from inception to release
  • Experience with data visualization techniques and libraries
Additional Information

Compensation, Benefits, and Perks:

  • Salary: $80-120k plus equity compensation
  • 401k, health and dental insurance, flexible vacation policy, paid parental leave
  • eBooks, online courses, workstation setup
  • Events: happy hours, team dinners, conversations with oncologists (will return soon!)
  • You get to work with smart, passionate people on a product that will have a direct impact on the quality of life for cancer patients

What to expect in the hiring process:

  • Introductory phone call with the Head of Operations (30 minutes zoom call)
  • Phone interview with VP of Engineering (60 min zoom call)
  • A small take-home code challenge
  • Virtual onsite, including a technical discussion, engineering team meet, and co-founder meet (90-120 minute zoom call)
  • Final stages, potential follow-up interviews, and offer discussions

Sorry, we do not offer visa sponsorships at this time.

Oncora Medical is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, age, sex, religious creed, disability, ancestry, national origin, sexual orientation, gender identity, or gender expression

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