Machine Learning Science Director

5 days ago

San Francisco, California, United States Abridge Full time
Abridge is looking for a Machine Learning Science Manager

About the Role

This is a unique opportunity for an experienced Machine Learning Science Manager to join Abridge, a trailblazing organization powering deeper understanding in healthcare through AI. As a key member of our team, you will lead and manage a team of applied scientists with expertise in machine learning and natural language processing.

Responsibilities


  • Lead and Manage Research Team: Oversee a team of research scientists, providing guidance, mentorship, and support to foster their growth and ensure the success of research projects.
  • Advance Medical NLP: Drive the advancement of the state of the art in medical NLP, focusing on areas such as conversation summarization, evidence extraction, outcome prediction, evaluation techniques, and experimentation.
  • Contribute Research: Actively contribute to the wider research community by sharing and publishing original research, and encourage team members to do the same.
  • Define and Develop Solutions: Collaborate with the team to define important problems, identify appropriate baselines, develop state-of-the-art methods, and integrate them into production.
  • Incorporate Feedback: Engage with clinicians to gather real-time feedback, guiding further refinements and innovations in our products.
  • Results-Oriented Approach: Maintain a focus on results in the face of ambiguous problems and uncertain outcomes, ensuring that research initiatives have a tangible impact.


Requirements


  • Demonstrated through papers and (most likely but not necessarily) advanced graduate degrees in, Computer Science, Electrical Engineering, Mathematics, or equivalent experience
  • Demonstrated ability to lead and manage a team, providing both technical and professional guidance
  • Significant contributions to open source and deployed technology, showcasing the real-world impact of your work
  • Strong programming skills with proven experience crafting, prototyping, and delivering machine learning solutions into production
  • Proven experience shipping inspiring LLM-based experiences
  • Proven track record of high-impact publications at peer-reviewed AI conferences (e.g. *CL, NeurIPS, ICML, ICLR)
  • Experience with deep learning libraries (e.g. PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and statistical analyses of observational and experimental data


What We Offer


  • Competitive salary: $250,000 USD - $300,000+ USD per year
  • Equity: For all salaried team members
  • Medical insurance: We pay 100% of the premium for you + 75% for dependents
  • Dental & Vision insurance: We pay 100% of the premium for you + 75% for dependents
  • Flexible working hours: We care more about what you accomplish than what specific hours you're working
  • Home Office Budget: We provide up to $1,600 in a one-time reimbursement to set up your home office
  • Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment
  • Relocation assistance: Available for candidates willing to move to San Francisco
  • Opportunity to work and grow with talented individuals and have ownership and impact at a high-growth startup


Why Work at Abridge?

We value people who want to learn new things, and we know that great team members might not perfectly match a job description. If you're interested in the role but aren't sure whether or not you're a good fit, we'd still like to hear from you.

Life at Abridge

We're driven by our mission to bring understanding and follow-through to every medical conversation. Our culture is founded on doing things the "inverse" way in a legacy system—focusing on patients, instead of the system; focusing on outcomes, instead of billing; and focusing on the end-user experience, instead of a hospital administrator's mandate.

Get in Touch

If you're a motivated and experienced Machine Learning Science Manager looking to join a trailblazing organization, please submit your application.

Diversity & Inclusion

Abridge is an equal opportunity employer. Diversity and inclusion is at the core of what we do. We actively welcome applicants from all backgrounds (including but not limited to race, gender, educational background, and sexual orientation).

Staying Safe - Protect Yourself From Recruitment Fraud

We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process.

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