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Senior Data Scientist (AI)

137Β 000 - 180Β 000$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
remote (Ρ‚ΠΎΠ»ΡŒΠΊΠΎ USA)
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

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TL;DR

Senior Data Scientist (AI): Designing and deploying agentic AI systems and RAG pipelines for the Game Warden platform with an accent on reliability, traceability, and output quality. Focus on building multi-LLM ensemble systems, developing quantitative evaluation frameworks, and driving AI-native product transformation in the cybersecurity domain.

Location: Must be a U.S. citizen and reside in approved hiring hubs: DC/Maryland/Virginia, Raleigh/Durham/Chapel Hill (NC), Denver/Colorado Springs (CO), or Dallas/Fort Worth (TX).

Salary: $137,000 – $180,000

Company

A public-benefit software company powering secure software delivery and adoption for the U.S. government and national security agencies.

What you will do

  • Design, develop, and improve agentic AI systems using LangGraph and LangChain, focusing on reliability and measurable quality.
  • Develop and mature evaluation frameworks to assess AI outputs for groundedness, faithfulness, and relevance.
  • Improve multi-LLM ensemble systems including consensus scoring methods and model weighting.
  • Develop AI/ML components for RAG systems, including embedding strategies and retrieval optimization.
  • Partner with Product and Engineering teams to integrate AI into onboarding, deployment, and remediation workflows.
  • Define standards for responsible AI integration, including explainability and model governance.

Requirements

  • U.S. citizenship is required due to government contract requirements.
  • Must reside in one of the approved hiring hubs in the USA.
  • 5+ years of experience in applied machine learning, data science, or AI engineering.
  • 2+ years of experience working with large language models (LLMs) in production.
  • Strong proficiency in Python and the modern ML/AI ecosystem.
  • Hands-on experience with RAG, vector databases, and foundation model APIs (AWS Bedrock, OpenAI, Anthropic, Cohere).

Nice to have

  • Experience with cybersecurity data, vulnerability management, or threat intelligence.
  • Active security clearance or eligibility to obtain one.
  • Experience with model fine-tuning, RLHF, or PEFT methods.
  • Familiarity with compliance frameworks such as NIST 800-53 or FedRAMP.

Culture & Benefits

  • 100% healthcare, vision, and dental coverage.
  • 401(k) with 3% company contribution.
  • Equity incentive plan and annual professional development stipend.
  • Flexible paid time off and federal holidays.
  • Tech and office supplies stipend.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’