Senior Machine Learning Scientist (Sensor Intelligence)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Machine Learning Scientist (Sensor Intelligence): Developing and scaling ML systems for member coaching distributed between edge hardware and the cloud with an accent on time-series foundation models and SLMs. Focus on translating prototypes into production and building NLU models for resource-constrained targets.
Location: On-site in Boston, MA. The successful candidate must be prepared to relocate if necessary.
Salary: $150,000 - $215,000
Company
is a human performance company that empowers members to improve their healthspan through deep insights from wearable sensor data.
What you will do
- Research, architect, and develop ML systems for member coaching across edge hardware and cloud environments.
- Collaborate with ML and edge ML engineers to translate research prototypes into production systems.
- Partner with product and UX teams to maintain a consistent user experience in bandwidth-constrained environments.
- Contribute to high-level architectural decisions and mentor team members in ML best practices.
Requirements
- 5+ years of experience as a Machine Learning Scientist focused on applied research (preferably voice or text conversational systems).
- Proven track record of training, fine-tuning, and deploying state-of-the-art deep learning architectures to production.
- Experience with time-series foundation models and self-supervised training approaches.
- Expertise in pre-training small language models or building NLU models for resource-constrained targets.
- Proficiency with AWS or GCP and modern MLOps practices including CI/CD, versioning, and observability.
- Must be based in or be able to relocate to Boston, MA.
Culture & Benefits
- Competitive base salary combined with a generous equity package.
- Opportunity to work in a cross-functional environment (Sensor Intelligence Group) collaborating across Labs, Firmware, and Data Science.
- Mission-driven culture focused on unlocking human performance.
- Strong commitment to leveraging AI tools to enhance day-to-day productivity.
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