Senior Machine Learning Engineer
The best of AI at the service of healthcare Nabla's phenomenal traction is the result of 3 years of diligent product development. Led by former Meta AI Research engineers, our team has consistently anticipated how AI can revolutionize healthcare delivery. Our Machine Learning team continually leverages the latest advancements to unlock AI's full potential in healthcare. Yann LeCun, Meta's Chief AI Scientist and Turing award winner, is an advisor to Nabla. Engineering at Nabla Engineering at Nabla is lean, fast-moving, and deeply technical. Our teams span machine learning, native desktop applications, and platform infrastructure to deliver AI into clinical settings reliably and at scale. Your Team The Engineering team currently comprises three domains:
- Apps : Responsible for our web application and Chrome extension.
- Platform : Handles infrastructure, back-end, and our API solution.
- Core : Focuses on Machine Learning innovation and delivery.
- Lead ambitious ML projects, collaborating with multiple engineers to deliver impactful solutions.
- Go beyond ambient scribing to fully redefine clinicians' workflows with AI, unlocking transformative efficiencies and improved patient care.
- Propose and guide experiments, model architectures, and data-labeling strategies to improve our speech-to-text, note generation, and normalization systems.
- Implement, train, and deploy models in production, ensuring scalability and robustness in a live healthcare setting.
- Optimize R&D processes, enabling the team to ship new models quickly and confidently as we scale.
- Stay at the cutting edge of AI research, sharing expertise and fostering technical growth within the team.
- Nabla processes 10 billion tokens/month with LLMs.
- By the time you've read this posting, Nabla will have transcribed 100 new hours of live audio and generated 500 new clinical notes , saving 125 hours of doctor time .
- Deep expertise in machine learning : You have extensive (5+ years) experience in training and deploying neural networks for real-world use cases.
- Strong leadership skills : Proven ability to lead ML projects, collaborate across teams, and mentor junior engineers.
- Advanced Python coding skills : You write clean, production-ready code.
- Vision for AI in healthcare : Passion for going beyond the status quo to redefine workflows and unlock better care for patients.
- Fluent in English : You communicate clearly and effectively.
- Broader software engineering experience (infrastructure, front-end, etc.) is a plus.
- Python for everything ML-related
- Pytorch and Transformers for training
- vLLM for inference
- Google Cloud & Kubernetes for deployment
- Calls to OpenAI GPT-4 when needed
Remote policy: 1-2 days a week (with some flexibility). Possibility of working remotely 1-2 weeks once a year. Benefits Just like we're dedicated to supporting doctors' well-being, ensuring yours is a top priority. We firmly believe that by prioritizing your well-being, we support you to excel in your work. Here are the benefits you get when joining Nabla:
- Stock ownership
- 100% healthcare coverage
- Meal vouchers
- Public transportation costs covered at 50%
- Exercise class during the workday: Yoga, running, pilates, HITT
- Unlimited budget for book purchases, so you can continue to learn about ML / Healthcare
- Culture of trust & accountability - your output matters more than your clock-in time
Nabla does not accept unsolicited CVs from recruiters or employment agencies in response to the Nabla Careers page or a Nabla social media post. Any unsolicited CVs, including those submitted directly to hiring managers, are deemed to be the property of Nabla.
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