Member of Technical Staff (Machine Learning Engineer)
- Level
- Staff
- Work type
- Remote
- Visa
- Sponsors visas
Not stated in the posting: salary.
Open. First seen 2 October 2026.
About the role
What You’ll Do
- Translate cutting-edge research into production-ready machine learning systems
- Design, build, and deploy end-to-end ML models and pipelines
- Develop and optimize models for image and video processing
- Own the full ML lifecycle: experimentation, training/fine-tuning, evaluation, and deployment
- Rapidly prototype using open-source models and adapt them for product needs
- Conduct experiments, analyze results, and iterate to improve performance
- Collaborate with researchers and cross-functional teams (product, engineering, design) to deliver ML solutions at scale
- Participate with advancements in machine learning and apply them to continuously improve products
What We’re Looking For
Required Qualifications
- MS/PhD in Computer Science, Electrical Engineering, or related field
- Strong research experience with familiarity in top conferences (e.g., CVPR, ICCV, NeurIPS)
- 5+ years of experience in Python and proficiency in Java, C++, or Scala
- Strong understanding of diffusion models
- Strong understanding of multi-threading and memory management
- Solid knowledge of ML architectures: CNNs and Transformers
- Experience with PyTorch or TensorFlow
- Experience building end-to-end ML deployment and inference systems, especially for low-latency, real-time applications
- Experience deploying ML models in cloud environments (AWS preferred)
- Experience with experiment tracking systems and ML workflows
Nice to Have
- Experience in low level optimisation, cuda etc.
- Experience productionizing and scaling ML models in real-world systems
- Contributions to open-source projects
- Experience with MLOps tools or distributed training systems
- Familiarity with relational databases (Postgres/MySQL)
- Experience handling large-scale data using tools like Spark
Reka's Mission
Reka's mission is to build useful multimodal artificial intelligence and use it to empower organisations 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 many of the breakthroughs in AI over the past decade.
Why Reka?
- An Elite Team: Collaborate with top-tier engineers, researchers, operators from renowned organizations like Google DeepMind and Facebook AI Research (FAIR) and successful startups, driving innovation in cutting-edge AI technology.
- Massive Market Opportunity: Be part of a rapidly growing industry poised to transform multiple sectors globally, offering the chance to make a significant impact.
- Mission-Driven Environment: Work alongside a collaborative, mission-focused team dedicated to advancing AI for meaningful applications.
- Inclusive and Open Culture: Thrive in an open and inclusive work environment that values diverse perspectives and fosters creativity.
- Generous Benefits: Enjoy 5 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.
The team: Technical
This role is one of 5 open in Technical.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Machine Learning (4 of 5), C++ (3 of 5), Python (3 of 5), PyTorch (3 of 5), CUDA (2 of 5), Deep Learning (2 of 5)
OTHER ROLES ON THIS TEAM
- Member of Technical Staff (Robotics) posted Jul 31
- Member of Technical Staff (Applied AI) posted Jan 21
- Member of Technical Staff (GPU Performance Engineer) posted Jan 8
- Member of Technical Staff (ML) posted Aug 1
From the team and dates on Reka's own job board.
Similar jobs
- Senior Staff / Senior Machine Learning Engineer at SciTec
Shares 7 skills: CUDA, MLOps, TensorFlow… · Staff level - Senior Machine Learning Engineer (Large Systems) at Graphcore
Shares 6 skills: CUDA, MLOps, PyTorch… - Senior Machine Learning Engineer - Perception at Motional
Shares 6 skills: CUDA, TensorFlow, PyTorch… - Machine Learning Software Engineer at swan
Shares 6 skills: CUDA, TensorFlow, PyTorch… - Staff / Senior Machine Learning Engineer, AV Core at Wayve
Shares 5 skills: CUDA, PyTorch, C++… · Staff level · ✓ Visa sponsorship - Member of Technical Staff (Data Intelligence) at Reka
Also at this company
Is this your posting and you want it taken down? Email info@careerholo.com.