Senior Machine Learning Engineer

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 in-house LLM experimentation infrastructure;
• Develop fully HIPAA-compliant agents, utilizing OS LLMs;
• Optimize retrieval speed and quality from private databases (NOSQL, SQL, and vector).

• 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.

• 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.
• Gross salary range from 5000 eur/gross.

Only shortlisted candidates will be contacted.