Inflection AI
Principal Research Engineer, Model Training & Post-Training
Palo Alto, California, United States · Principal
Sponsorship not specified$400k-$550kDetected 77 days ago
Full-Stack DevelopmentMachine LearningNLPLLMsResearch
Stay score
odds of building a lasting career here
59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
5 transfer filings in the last year, covering 5 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- This person will sit at the intersection of research, production engineering, and model release, with a mandate to ship models that are measurably better for users.
- The ideal candidate has led serious model training or post-training work before, can make principled tradeoffs across data, compute, architecture, and quality, around a clear technical roadmap.
Responsibilities
- Own the model-improvement roadmap across capability, reliability, emotional intelligence, tool use, safety, latency, cost, and enterprise readiness.
- Lead training and post-training strategy, including supervised fine-tuning, RLHF, DPO, GRPO, RLAIF, reward modeling, preference optimization, tool-use fine-tuning, distillation, synthetic data, and related methods.
- Lead large-scale training efforts on distributed GPU clusters, including systems operating at the scale of 1,000+ GPUs.
- Define and execute data strategy across data curation, mixture design, deduplication, decontamination, human-in-the-loop pipelines, preference data, evaluation data, synthetic data, and production feedback loops.
- Build and improve evaluation and release-quality systems, including model evals, quality gates, regression detection, release criteria, model-readiness reviews, and post-release monitoring.
- Partner closely with infrastructure and research engineering teams to improve distributed training reliability, checkpointing, fault tolerance, observability, reproducibility, and cost-performance tradeoffs.
- We are focused on building a positive, safe, inclusive and inspiring place to work.
- Support of country-specific visa needs for international employees living in the Bay Area
Requirements
- Experience leading, or serving as a principal contributor to, large-scale LLM, multimodal, or foundation-model training or post-training programs.
- Strong practical experience with post-training and alignment methods such as SFT, RLHF, DPO, GRPO, RLAIF, reward modeling, preference optimization, tool-use fine-tuning, or related approaches.
- Experience operating or partnering on large-scale training infrastructure, ideally including GPU clusters at the scale of 1,000+ GPUs.
- Ability to balance research ambition with product pragmatism, user impact, and operational discipline.
- Experience leading senior technical teams while continuing to contribute directly to technical decisions and implementation.
Compensation
- For this role, Inflection AI estimates a starting annual base salary to fall within the range of $400,000 to $550,000, depending on a candidate's qualifications and level of experience.
Benefits
- Our benefits include:
- Robust medical, dental and vision options with employer contributions for HSA, FSA and DFSA
- Flexible Time Off, 10 paid holidays, 5 days sick leave
- Parental, Medical and Family care leave
- Generous cell-phone, wellness and office set up stipends
- Deep experience with transformer-based models, hybrid architectures, modern deep-learning frameworks, and distributed training systems.
Company info
- Employee Pay Disclosures At Inflection AI, we aim to attract and retain the best employees and compensate them in a way that appropriately and fairly values their individual contributions to the company.
- What We're Looking For
Visa & Work Authorization
- Support of country-specific visa needs for international employees living in the Bay Area
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This listing is sourced directly from Inflection AI's careers page and normalized into a canonical job model.