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Reflection

Trade Compliance Counsel

Washington, DC · On-site +1

... data center arrangements, international collaborations and customer transactions. * Design and mature Reflection's sanctions and export controls compliance program, including policies, procedures ...

Reflection

Trade Compliance Counsel

New York, NY · On-site +1

... data center arrangements, international collaborations and customer transactions. * Design and mature Reflection's sanctions and export controls compliance program, including policies, procedures ...

Reflection

Trade Compliance Counsel

Washington, DC · On-site +1

... data center arrangements, international collaborations and customer transactions. * Design and mature Reflection's sanctions and export controls compliance program, including policies, procedures ...

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Infographic showing various Data job openings at Reflection in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 71% Physical, 22% Hybrid, and 7% Remote job distribution.

Forward Deployed Engineer, Lead - LLM Post-training

Reflection

Manhattan, NY • On-site

$112K - $148K/yr

Full-time

Posted 14 days ago

Job description

Job Summary:
Reflection is on a mission to build open superintelligence and make it accessible to all. They are seeking a Forward Deployed Engineer Lead to build and scale their post-training and evaluation capabilities, working closely with enterprise customers to customize models for specific domains and tasks.
Responsibilities:
• Lead post-training engagements with enterprise customers: assess their data, define training strategies, design reward signals and verifiers, prepare datasets, run training loops, and evaluate results against customer-specific benchmarks.
• Design and build RL training environments for model adaptation, including synthetic data generation pipelines, reward model training, and preference data collection workflows.
• Design and build evaluation infrastructure: define what "better" means for each customer use case, build eval harnesses, curate test sets, and establish baselines that measure real-world performance.
• Own the data pipeline from raw customer data through training-ready datasets, including synthetic data generation, data quality inspection, cleaning, and format standardization.
• Deploy post-trained models across hybrid environments (public cloud, VPC, and on-premises), working with infrastructure teams to ensure inference performance, cost efficiency, and reliability at scale.
• Shape and scale the post-training and evaluation practice by defining playbooks, best practices, and technical standards. Mentor engineers on the team and help define what great applied AI work looks like at Reflection.
Qualifications:
Required:
• Hands-on post-training experience with large language models at scale.
• Experience building synthetic data generation pipelines, reward models, and verifiers for reinforcement learning workflows.
• Deep understanding of evaluation methodology.
• Practical experience with training infrastructure at scale.
• Strong software engineering fundamentals.
• 6+ years of engineering experience, including 2+ years focused on LLM post-training in a leadership capacity.
• Experience in customer-facing technical roles, or a genuine interest in developing this skill.
• Self-starter with high agency and ownership, excelling in fast-paced startup environments.
Company:
Reflection is an AI lab building frontier open weight models. Our team previously built frontier LLMs at labs like DeepMind, OpenAI, and Anthropic. Founded in , the company is headquartered in New York, NY, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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