AI Research Scientist: Multi-Agent & RL for Enterprise

AKIVA AI, LLC; Leesburg (VA); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Professional development

Veteran-owned company values

Impactful client engagements

Long-term contract engagement

AI productivity tools provided

401(k) with generous company match

Medical Insurance

Vision Insurance

Short-Term & Long-Term Disability

Paid Time Off

Profit Sharing

Job summary

AKIVA AI, LLC is seeking an accomplished research-focused professional to conduct applied and fundamental research in agentic systems, custom inference, and emerging AI paradigms. You will publish, prototype, and translate breakthroughs into production capabilities used by enterprise and government clients.

The role emphasizes leadership in multi-agent systems, RL for tool use, and collaboration with engineering to turn research artifacts into production systems, while mentoring junior

Qualifications

• PhD in Computer Science, Machine Learning, Statistics, or related discipline (or equivalent research output).
• Strong implementation skills in PyTorch and modern ML tooling.
• Track record of translating research into deployed systems.

Responsibilities

• Lead original research in multi-agent systems, RL for tool use, custom inference, or post-training methods (RLHF, DPO, GRPO)
• Author publications and technical reports; represent AKIVA at top-tier venues
• Prototype novel architectures and evaluation methodologies
• Collaborate with engineering to harden research artifacts into production systems
• Mentor junior researchers and applied AI engineers

Skills

PyTorch

ML tooling

Research deployment

Education

PhD in Computer Science / ML

Tools

PyTorch

JAX

Hugging Face Transformers

Weights & Biases

Ray

Job description

AKIVA AI, LLC is seeking an accomplished research-focused professional to conduct applied and fundamental research in agentic systems, custom inference, and emerging AI paradigms. You will publish, prototype, and translate breakthroughs into production capabilities used by enterprise and government clients.

The role emphasizes leadership in multi-agent systems, RL for tool use, and collaboration with engineering to turn research artifacts into production systems, while mentoring junior