Software Engineer, Machine Learning Platform

Company: PathAI
Location: Boston, Massachusetts, United States
Type: Full-time
Posted: 09.AUG.2021
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Summary

PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of...

Description

PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning. Rigorous science and careful analysis is critical to the success of everything we aspire to do. Our team, comprising of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact.

We're looking for software engineers to join our team to grow our platform to the next level. While prior experience with machine language is desirable, it is not required. We expect that the right candidate will learn the necessary machine learning skills through their daily work.

What You'll Do

  • Solve interesting problems with code.
  • Build new features and tools for machine learning engineers and data scientists, and refactor existing ones to make them better.
  • Work with a wide range of systems, processes, and technologies to solve problems in sustainable ways. Sometimes you'll be neck-deep in low-level systems, and other times you'll be pairing up with the front-end team on the user interface.
  • Drive the architecture of our application platform, considering the team and our future product roadmap.
  • Collaborate with product, design, front-end, machine learning, and infrastructure teams.
  • Drive and uphold high engineering standards, bringing consistency to the codebases you encounter and ensuring software is adequately reviewed, tested, and integrated.
  • Mentor, learn, and share knowledge with others along the way.
What You'll Need
  • Experience. 1-4 years of software development experience. A background in Machine Learning is not required!
  • Aesthetic. Your main tool may be code, but you should have a keen design eye and an ability to make strong design decisions in a pinch.
  • Education. Generally, a bachelor's degree is really helpful in working with our team on this kind of work. But feel free to convince us if you're the exception.
  • An insatiable intellectual curiosity and the ability to learn quickly in a complex space
Benefits

For the right candidate, we'll offer a competitive salary plus equity. Your compensation is rounded out by a strong benefits package:
  • Flexible work hours, with work-from-home options available
  • Three weeks of paid leave per year, an additional two weeks of sick time, plus extended holidays and team-approved leave
  • Ten days of 100% subsidized childcare per year
  • Healthcare, vision, and dental insurance plans (HMO or PPO), with voluntary add-ons available for dependent care, life, and accident coverage
  • Commuter benefit available for public transit or parking
Most importantly, you'll be doing important work with a team of people you'll genuinely enjoy spending the day with.

PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications - that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.

PathAI does not accept unsolicited submissions from third-parties.

With the rise of employment phishing scams, especially during the current COVID-19 situation, we ask candidates to be extra vigilant. Be careful about providing any kind of personal information, such as location, age, or financial information to recruiters who may be impersonating PathAI employees. PathAI does not require payment for interviews or for applicants to purchase their own work supplies for reimbursement.

 
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