Machine Learning Engineer at PathAI
At PathAI, we're applying machine learning techniques in amazing ways. We develop solutions in pathology that are modernizing healthcare, including detecting cancer and other diseases. We're applying our work to drug development, the clinical space, and as a global health initiative. Our team has some unique and important machine learning challenges to solve, with a focus on advancing medicine and improving patient care.
This is a Full Time Position.
We're looking for experienced machine learning engineers to join our team and help solve some of these challenges. If you're the right candidate, your day-to-day will involve:
- Understanding PathAI’s products and services and introducing technology innovations with respect to functionality, performance, reliability, and scalability.
- Designing, developing and maintaining the machine learning infrastructure that powers PathAI
- Performing research and development of machine learning algorithms to expand product capabilities
- Participating in building new experiences, improve existing products, ensure quality assurance test designs and contributing to test systems architecture discussions
You will have the opportunity to work in a company culture that puts employees first, is relaxed but focused and hard-working. Every PathAI employee is a contributor to our mission to pioneer better patient care by providing the best, most innovative deep learning tools to biotech, pathologists, clinicians and healthcare organizations. You will work alongside leading innovators in the field of deep learning and medicine, and play a critical role in algorithm development.
To be successful in this role with us, you'll at least need:
- A Master's degree in Computer Science or related field, preferably with a focus on artificial intelligence; PhD preferred
- At least two to four years of relevant work experience
- Artificial intelligence software development experience using Python
- Ability to design and develop robust, scalable cloud-based solutions
- Experience shipping products strongly preferred
- Intellectual curiosity and the ability to learn quickly in a complex space
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 for many roles
- 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
- Convertible sit-stand desks
- Weekly in-office yoga classes
- Free in-office lunch on Tuesdays and Fridays
- Snacks and drinks in the office – which currently include a mountain of Milano cookies, endless Fruit Snacks, as well as cold brew coffee and kombucha on tap, among many other options. Our in-house Snackologist is also happy to take your requests!
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.