Full-Time
AI/ML Engineer
HopHR
11-50 employees
AI-driven recruitment platform for data science
No salary listed
No H1B Sponsorship
San Francisco, CA, USA
Hybrid
 AI & Machine Learning (1) |
|---|
- BS/MS in Computer Science, Machine Learning, or related field.
- 3–5 years of AI/ML engineering; minimum 2 years building LLM-powered systems shipped to production.
- Strong Python; PyTorch or Hugging Face Transformers; AWS or GCP; Docker/Kubernetes.
- Portfolio of shipped AI work required — agentic pipelines, RAG systems, or fine-tuned models.
- No visa sponsorship. Must be authorized to work in the US without current or future employer sponsorship.
- Build and maintain production-grade LLM pipelines and agentic workflows.
- Design and optimize RAG architectures using vector databases (Pinecone, FAISS, Weaviate) at scale.
- Implement agentic systems using LangGraph, LlamaIndex, or equivalent: tool use, multi-agent coordination, and reasoning loops.
- Own prompt engineering, model versioning, evaluation (RAGAS, DeepEval), and LLMOps instrumentation.
- Integrate AI features into large-scale data pipelines; maintain observability and guardrails in production.
HopHR connects businesses with data science, machine learning, and AI talent. It serves sectors like aerospace, defense, agriculture, and food production, providing access to a pool of over 100,000 professionals, including more than 35,000 women in tech and 8,000 active candidates. The platform uses AI-powered vetting and on-demand remote talent services to streamline hiring and quickly place the right people in roles. Differentiators include a large, diverse, specialized talent network; AI-driven candidate screening; and a focus on on-demand remote staffing for advanced analytics and AI projects. HopHR’s goal is to help organizations build elite GenAI, data science, and ML teams to advance their industries by making hiring faster, more accurate, and scalable.
Company Size
11-50
Company Stage
Debt Financing
Total Funding
$100K
Headquarters
Walnut Creek, California
Founded
2016
Simplify's Take
What believers are saying
- Rising LATAM AI talent demand boosts HopHR's timezone/cost advantages.
- AI-powered vetting streamlines hiring for data science professionals.
- Pre-vetted director-level AI researchers available for immediate hire.
What critics are saying
- Toptal erodes HopHR's niche with 20,000+ vetted developers faster.
- BairesDev captures 35% LATAM market with 20-30% cheaper engineers.
- OpenAI's protocol bypasses HopHR, capturing 40% high-end placements.
What makes HopHR unique
- HopHR specializes in AI/ML/Data Science recruitment with 100,000+ diverse talents.
- HopHR combines technical/soft skill evaluations for optimal matches.
- HopHR targets aerospace/defense/agriculture with 8,000 active candidates.
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Benefits
Remote Work Options
Flexible Work Hours
Paid Vacation
Health Insurance
Mental Health Support
Wellness Program