Reka AI Visa Sponsorship USA
Reka AI is a frontier AI research company building multimodal foundation models. It operates in a highly specialized space where deep technical expertise is the baseline, making visa sponsorship a standard part of how it recruits global talent in science and research roles.
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Get Access To All JobsINTRODUCTION
We are seeking an experienced GPU Performance Engineer with a strong background in Python and large-scale model training. In this role, you will design and implement improvements to our training infrastructure and directly contribute to technical decisions that optimize performance of our models. You will also work on post-training processes, including reinforcement learning and fine-tuning. Furthermore, you will contribute to improving the efficiency and scalability of our model serving infrastructure.
ROLE AND RESPONSIBILITIES
- Design and implement improvements to training infrastructure
- Contribute to technical decisions that optimize model performance
- Work on post-training processes, including reinforcement learning and fine-tuning
- Improve the efficiency and scalability of model serving infrastructure
BASIC QUALIFICATIONS
- Strong engineering skills with fluency in Python and PyTorch (or other frameworks)
- Proven experience implementing and training large deep learning models
- Experience writing and debugging low-level GPU code (CUDA, C++)
- Experience scaling up GPU jobs using large-scale compute clusters (e.g., Slurm or Kubernetes)
- Demonstrated ability to analyze and optimize the performance of GPU-accelerated workloads, including profiling, identifying bottlenecks, and implementing performance tuning techniques
REKA'S MISSION
Reka's mission is to build useful multimodal artificial intelligence and use it to empower organizations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to numerous breakthroughs in AI over the past decade.
WHY REKA?
- An Elite Team: Collaborate with top-tier engineers, researchers, and operators from renowned organizations like Google DeepMind, Facebook AI Research (FAIR), and successful startups, driving innovation in AI technology.
- Cutting-edge Infrastructure: Train state-of-the-art models leveraging the latest software and hardware, expanding the frontier of innovation in AI infrastructure development.
- Inclusive and Open Culture: Thrive in an open and inclusive work environment that values diverse perspectives and fosters creativity.
- Generous Benefits: Enjoy five weeks of paid leave to recharge, comprehensive healthcare benefits (including vision and dental), and additional perks that support your well-being.
- Visa Support: We provide visa assistance, including H1B and OPT transfers, for US employees to ensure a smooth transition and support your career with us.
INTRODUCTION
We are seeking an experienced GPU Performance Engineer with a strong background in Python and large-scale model training. In this role, you will design and implement improvements to our training infrastructure and directly contribute to technical decisions that optimize performance of our models. You will also work on post-training processes, including reinforcement learning and fine-tuning. Furthermore, you will contribute to improving the efficiency and scalability of our model serving infrastructure.
ROLE AND RESPONSIBILITIES
- Design and implement improvements to training infrastructure
- Contribute to technical decisions that optimize model performance
- Work on post-training processes, including reinforcement learning and fine-tuning
- Improve the efficiency and scalability of model serving infrastructure
BASIC QUALIFICATIONS
- Strong engineering skills with fluency in Python and PyTorch (or other frameworks)
- Proven experience implementing and training large deep learning models
- Experience writing and debugging low-level GPU code (CUDA, C++)
- Experience scaling up GPU jobs using large-scale compute clusters (e.g., Slurm or Kubernetes)
- Demonstrated ability to analyze and optimize the performance of GPU-accelerated workloads, including profiling, identifying bottlenecks, and implementing performance tuning techniques
REKA'S MISSION
Reka's mission is to build useful multimodal artificial intelligence and use it to empower organizations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to numerous breakthroughs in AI over the past decade.
WHY REKA?
- An Elite Team: Collaborate with top-tier engineers, researchers, and operators from renowned organizations like Google DeepMind, Facebook AI Research (FAIR), and successful startups, driving innovation in AI technology.
- Cutting-edge Infrastructure: Train state-of-the-art models leveraging the latest software and hardware, expanding the frontier of innovation in AI infrastructure development.
- Inclusive and Open Culture: Thrive in an open and inclusive work environment that values diverse perspectives and fosters creativity.
- Generous Benefits: Enjoy five weeks of paid leave to recharge, comprehensive healthcare benefits (including vision and dental), and additional perks that support your well-being.
- Visa Support: We provide visa assistance, including H1B and OPT transfers, for US employees to ensure a smooth transition and support your career with us.
Job Roles at Reka AI Companies
How to Get Visa Sponsorship in Reka AI Visa Sponsorship USA
Target research and engineering roles first
Reka AI's sponsorship activity is concentrated in technical roles tied to AI research and model development. Prioritize applications for positions in machine learning, research science, and AI infrastructure, where international hiring is most common.
Understand the H-1B process before applying
Reka AI sponsors H-1B visas, so familiarize yourself with the annual lottery timeline and cap registration window. Knowing where you stand in the process helps you have a more informed conversation with their recruiting team early on.
Lead with your research credentials
In Science and Research hiring, published work, model contributions, and academic achievements carry real weight. Reka AI evaluates candidates on technical depth, so lead applications with concrete research output rather than general engineering experience.
Browse verified sponsoring employers before applying broadly
Not every AI company sponsors visas consistently. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and focus your energy on companies like Reka AI that have an active track record of supporting international hires.
Reach out to Reka AI researchers directly
Reka AI is a small, research-focused team. Cold outreach to researchers through academic networks or published paper co-authorship discussions can open doors that standard job applications miss, especially for highly specialized science and research roles.
Be upfront about your visa status from the first conversation
At a company of Reka AI's size, recruiters move quickly. Disclosing your H-1B sponsorship need early avoids wasted time and signals that you understand the process, which experienced research hiring teams tend to appreciate.
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Get Access To All JobsFrequently Asked Questions
Does Reka AI sponsor H-1B visas?
Yes, Reka AI sponsors H-1B visas. The company operates in frontier AI research, a field that draws heavily from a global talent pool, and H-1B sponsorship is part of how it hires specialized researchers and engineers. If you're targeting Reka AI, be aware that H-1B roles are tied to the annual USCIS cap registration cycle, which typically runs in March for an October 1 start date.
What types of roles at Reka AI are most likely to receive visa sponsorship?
Sponsorship at Reka AI is concentrated in highly technical positions, particularly in AI research, machine learning engineering, and model development. These roles require specialized skills that are genuinely difficult to source domestically, which is why international candidates are actively considered. Candidates with strong research backgrounds, peer-reviewed publications, or hands-on experience training large-scale models are the best fit for sponsored roles.
How do I find open visa-sponsored jobs at Reka AI?
The most reliable approach is using Migrate Mate, which tracks verified sponsoring employers and surfaces roles at companies with a real history of filing for international workers. Because Reka AI is a smaller research organization, open positions may not be widely advertised, so checking Migrate Mate regularly and setting up alerts for new listings in AI research and science roles will help you stay ahead of postings.
How do I approach the application timeline when targeting Reka AI for H-1B sponsorship?
The H-1B cap registration window opens in March, with approved petitions taking effect October 1. If you're applying to Reka AI without existing work authorization, aim to have an offer secured by February at the latest to give the company time to prepare the petition. Reka AI's small team size means hiring decisions can happen quickly, but legal and HR processes for H-1B filing still require lead time.
Is Reka AI a strong visa sponsor for international candidates?
Reka AI has a track record of sponsoring international talent, which is consistent with its identity as a research-first AI company competing globally for specialized skills. While it isn't among the highest-volume sponsors in the industry, its sponsorship activity reflects a genuine commitment to hiring the best researchers regardless of nationality. For candidates with strong AI research credentials, it's a credible and worthwhile target.
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