Our Mission
Reflections mission is to build open superintelligence and make it accessible to all.
Were developing open weight models for individuals agents enterprises and even nation states. Our team of AI researchers and company builders come from DeepMind OpenAI Google Brain Meta Anthropic and beyond.
About the Role
Own the development of Reflections open post-training and inference and deployment ecosystem creating the standard for how the community customizes and interacts with our models
Build the RL and SFT tooling that external developers use to customize fine-tune and align models for their specific need as well as taking the lead on inference and deployment.
Extend or integrate with existing best-in-class frameworks (e.g. VeRL torchtune Tunix vLLM SGLang) to meet developers where they are.
Create Reflection-native libraries when required for performance or flexibility ensuring our open-weight users have a clean powerful production-grade toolkit.
Drive the adoption of our models by reducing friction in the fine-tuning process ensuring adaptation is safe efficient and scalable.
Engage deeply with the open-source community to incorporate feedback and guide the roadmap of our external-facing tools.
About You
Graduate degree (MS or PhD) in Computer Science Machine Learning or related discipline or equivalent practical experience in open source software.
Strong portfolio of open source contributions particularly in the LLM tooling space.
Deep understanding of post-training techniques (SFT RLHF DPO) and the engineering challenges of applying them to large models.
Solid software engineering capabilities with experience designing library APIs that are intuitive and robust.
Proficient in Python and deep learning frameworks (PyTorch preferred).
Thrive in a fast-paced high-agency startup environment with bias toward action.
Passionate about advancing the frontier of intelligence.
What We Offer:
We believe that to build superintelligence that is truly open you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company and help define the frontier of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.
Health & wellness: Comprehensive medical dental vision life and disability insurance.
Life & family: Fully paid parental leave for all new parents including adoptive and surrogate journeys. Financial support for family planning.
Benefits & balance: paid time off when you need it relocation support and more perks that optimize your time.
Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.
Required Experience:
Staff IC
Our MissionReflections mission is to build open superintelligence and make it accessible to all.Were developing open weight models for individuals agents enterprises and even nation states. Our team of AI researchers and company builders come from DeepMind OpenAI Google Brain Meta Anthropic and bey...
Our Mission
Reflections mission is to build open superintelligence and make it accessible to all.
Were developing open weight models for individuals agents enterprises and even nation states. Our team of AI researchers and company builders come from DeepMind OpenAI Google Brain Meta Anthropic and beyond.
About the Role
Own the development of Reflections open post-training and inference and deployment ecosystem creating the standard for how the community customizes and interacts with our models
Build the RL and SFT tooling that external developers use to customize fine-tune and align models for their specific need as well as taking the lead on inference and deployment.
Extend or integrate with existing best-in-class frameworks (e.g. VeRL torchtune Tunix vLLM SGLang) to meet developers where they are.
Create Reflection-native libraries when required for performance or flexibility ensuring our open-weight users have a clean powerful production-grade toolkit.
Drive the adoption of our models by reducing friction in the fine-tuning process ensuring adaptation is safe efficient and scalable.
Engage deeply with the open-source community to incorporate feedback and guide the roadmap of our external-facing tools.
About You
Graduate degree (MS or PhD) in Computer Science Machine Learning or related discipline or equivalent practical experience in open source software.
Strong portfolio of open source contributions particularly in the LLM tooling space.
Deep understanding of post-training techniques (SFT RLHF DPO) and the engineering challenges of applying them to large models.
Solid software engineering capabilities with experience designing library APIs that are intuitive and robust.
Proficient in Python and deep learning frameworks (PyTorch preferred).
Thrive in a fast-paced high-agency startup environment with bias toward action.
Passionate about advancing the frontier of intelligence.
What We Offer:
We believe that to build superintelligence that is truly open you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company and help define the frontier of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.
Health & wellness: Comprehensive medical dental vision life and disability insurance.
Life & family: Fully paid parental leave for all new parents including adoptive and surrogate journeys. Financial support for family planning.
Benefits & balance: paid time off when you need it relocation support and more perks that optimize your time.
Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.
Required Experience:
Staff IC
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