Senior Machine Learning Engineer

hr factory lithuania • Lithuania
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Job Description

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.

Responsibilities

  • 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)


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
  • Gross salary range from 5000 eur/gross


Only shortlisted candidates will be contacted.

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