Asks for

The ad says“Strong research background, as demonstrated through papers and a graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, Mathematics, or equivalent experience”
The ad says“Strong research background, as demonstrated through papers and a graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, Mathematics, or equivalent experience”
The ad says“The ideal candidate will bring technical mastery, fluency with foundation models, genuine interest in the medical domain, and strong critical thinking skills to the role”
The ad says“Experience with deep learning libraries (e.g. PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and statistical analyses of observational and experimental data”
The ad says“We’re currently looking to hire research scientists with experience in machine learning and natural language processing”
The ad says“Strong research background, as demonstrated through papers and a graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, Mathematics, or equivalent experience”
The ad says“Experience with deep learning libraries (e.g. PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and statistical analyses of observational and experimental data”
The ad says“We’re currently looking to hire research scientists with experience in machine learning and natural language processing”
The ad says“Strong programming skills with proven experience crafting, prototyping, and delivering machine learning solutions into production”
The ad says“Experience with deep learning libraries (e.g. PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and statistical analyses of observational and experimental data”
The ad says“Experience with deep learning libraries (e.g. PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and statistical analyses of observational and experimental data”
The ad says“Experience with deep learning libraries (e.g. PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and statistical analyses of observational and experimental data”

We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense
From transcribing medical conversations to delivering key takeaways, our trailblazing work in machine learning research makes the Abridge experience possible
At Abridge, all of our ML work has a strong research component, and all of our research scientists contribute directly to real products that impact the lives of doctors
Advance the state of the art in medical NLP, in areas including conversation summarization, evidence extraction, outcome prediction, evaluation techniques, and experimentation
Actively contribute to the wider research community by sharing and publishing original research
Help to define important problems, identify appropriate baselines, develop state-of-the-art methods, and ship them into production
Dial deeply into real-time feedback from clinicians to guide further refinements and innovations
Be results-oriented in the face of ambiguous problems and uncertain outcomes

Benefits

Flexible working hours — we care more about what you accomplish than what specific hours you’re working
Remote work environment
Unlimited PTO, plus 12 national holidays
Equity for all new employees
16 weeks paid parental leave, for all employees
Generous equipment budget for your home office setup ($1600)
Opportunity to work and grow with talented individuals, and have ownership and impact at a high growth startup

Preferred experience

Must be willing to work from our SF office at least 3x per week
We’re currently looking to hire research scientists with experience in machine learning and natural language processing
The ideal candidate will bring technical mastery, fluency with foundation models, genuine interest in the medical domain, and strong critical thinking skills to the role
Strong research background, as demonstrated through papers and a graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, Mathematics, or equivalent experience
High-impact publications at peer-reviewed AI conferences (e.g. *CL, NeurIPS, ICML, ICLR)
Strong programming skills with proven experience crafting, prototyping, and delivering machine learning solutions into production
Experience with deep learning libraries (e.g. PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and statistical analyses of observational and experimental data
Significant real-world impact, as demonstrated through open source contributions and deployed technology