Post-Training Research Scientist (AI)

Location: New York, United States; hybrid work with flexible in-office days

Base pay: $165,000–$300,000 per year, plus potential discretionary bonus and benefits

Company

hirify.global is a quantitative investment management and trading firm applying artificial intelligence, data science, technology, and quantitative research to financial markets.

What you will do

• Lead post-training efforts for large language models applied to financial time series and quantitative reasoning.
• Design and execute RLHF, DPO, and related alignment methods at scale, including deployment of substantial compute budgets of approximately $100 million.
• Build infrastructure for preference data collection, reward modeling, and policy optimization on financial datasets.
• Drive research connecting post-training methods with quantitative finance applications.
• Collaborate with quantitative researchers to define task distributions and evaluation frameworks.
• Unblock production systems that depend on post-training capabilities.

Requirements

• BS degree or equivalent work experience in science, technology, engineering, or mathematics; an MS is a plus.
• At least 1 year of experience is required; 1–10 years is preferred, ideally 1–5 years, at a frontier AI lab such as OpenAI, Anthropic, DeepMind, Meta FAIR, or an equivalent organization.
• Production experience shipping post-training systems using RLHF, DPO, RLAIF, or related methods.
• Deep understanding of distributed training infrastructure, including multi-node GPU clusters, training stability, and checkpointing.
• Experience managing large-scale compute through budgeting, experiment design, and ablation studies.
• Publications or demonstrated expertise in alignment, preference learning, or reward modeling.
• Hands-on implementation skills with PyTorch or JAX and distributed frameworks such as DeepSpeed or FSDP.

Nice to have

• MS degree in science, technology, engineering, or mathematics.
• Ideally 1–5 years of experience at a frontier AI lab.

Culture & Benefits

• Fully paid medical and dental insurance premiums for employees and dependents.
• Competitive 401(k) match, employer-paid life and disability insurance, and potential discretionary bonus.
• Tuition reimbursement, conference sponsorship, and training sponsorship.
• Generous vacation, unlimited sick days, and paid caregiver leave.
• Onsite gyms with laundry service, wellness activities, casual dress, snacks, and game rooms.
• Hybrid work policy with flexible in-office days and a home-office setup budget.