TL;DR
Senior ML Engineer (AI/Data Science): Productionize early-stage AI features focusing on quality, safety testing, and optimization of ML/NLP systems. Focus on designing evaluation frameworks, tuning pipelines, and building shared AI platforms for scalable, reliable AI products.
Location: Remote (USA)
Company
hirify.global is a high-growth Series B software company pioneering Interview Intelligence with clients including Canva, OpenAI, and Fortune 500 companies.
What you will do
- Design and own comprehensive evaluations measuring accuracy, bias, safety, and style for AI releases.
- Tune RAG pipelines, prompt chains, conversation loops, and model selections to meet quality standards.
- Build reusable data and evaluation pipelines, semantic layers, and monitoring dashboards for product teams.
- Optimize cost and latency by benchmarking models and balancing performance with spend.
- Implement data governance and lineage to meet enterprise compliance and support AI bias audits.
- Document best practices and share knowledge to elevate AI development standards.
Requirements
- Location: Must be based in the USA for remote work
- 5+ years in Data Science or ML engineering with focus on ML/NLP systems.
- 1+ year experience with Gen-AI or LLM systems.
- Strong Python and SQL skills.
- Experience creating automated evaluation suites for LLM outputs and iterative improvements.
- Knowledge of prompt engineering, RAG techniques, vector search, embeddings, fine-tuning, and multi-provider model selection.
Nice to have
- Ability to communicate complex AI trade-offs clearly to cross-functional teams.
- Bias toward action, curiosity, and passion for high-quality user experiences.
Culture & Benefits
- Work in small autonomous squads with impactful projects and platform initiatives.
- Fast CI, 1-click deploys, strong observability, and clean codebases.
- Sustainable remote culture with regular hours, no-meeting Wednesdays, and flexible time off.
- 100% covered healthcare for employees and dependents.
- Parental leave, 401K, work-from-home stipend, quarterly snacks, and learning/vacation stipends.
- Competitive compensation, equity, and benefits package.
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