Our client is a B2B Generative AI and Data tech startup for the Digital Health industry. They provide health and fitness data interpretation-as-a-service on top of user-generated data from Wearables and IoT devices.
Develop fully HIPAA-compliant agents, utilizing OS LLMs;
Optimize retrieval speed and quality from private databases (NOSQL, SQL, and vector)
Requirements
Experience training, serving, and monitoring NLP models;
5+ years of experience in ML Engineering / Data Science;
Experience with PyTorch or other ML libraries;
Experience working with client/server systems, distributed systems, and cloud providers;
Good knowledge of relational, NOSQL and vector databases;
Experience rolling LLM-based applications to production;
Ability to move fast in line with Spike's culture
Good to have:
Experience with Kubernetes and Docker;
Experience developing scalable APIs;
Experience in building ETLs;
Expertise in developing and releasing algorithms for ML applications in production;
Familiarity with cloud deployment and scaling;
Master's or PhD in Computer Science, Engineering, Mathematics, or related field
Benefits
Stock options package with a significant upside;
Hybrid working model (remote work is possible);
USA work visa sponsorship and relocation to Silicon Valley HQ where applicable;
Dynamic growth: dive into AI and Data tech, seizing high-growth opportunities with cutting-edge projects;
Talented peers: collaborate with a smart, ambitious team comprising data scientists, PhDs, Cambridge alumni, and tech industry pros (formerly from Bloomberg, Goldman Sachs, and Google);
Solid backing: enjoy stability and ample resources for success, supported by reputable venture capitalists
