Reka
Member of Technical Staff (Machine Learning Engineer)
RemoteUnited States only
- Role
- AI / ML
- Experience
- Senior
- Employment
- Full-time
Salary not disclosed
Check eligibility
Open to US only. Set where you work from to check your eligibility.
No BS summary
Senior ML engineer with MS/PhD, 5+ years in Python and Java/C++/Scala, strong diffusion models and computer vision expertise, and experience deploying low-latency ML systems in the cloud (AWS). Remote-first, global team.
Core skills
PyTorchDiffusion ModelsComputer Vision
Required skills
PythonJavaC++ScalaTensorFlowAWSCNNsTransformersMulti-threadingMemory ManagementML deploymentInference systemsExperiment tracking systemsML workflows
Optional skills
Experience in low-level optimization, CUDA, etc.Experience productionizing and scaling ML models in real-world systemsContributions to open-source projectsExperience with MLOps tools or distributed training systemsFamiliarity with relational databases (Postgres/MySQL)Experience handling large-scale data using tools like Spark
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.
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 in advancements in machine learning and apply them to continuously improve products
What they require
- 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
Benefits
- 5 weeks of paid leave
- Comprehensive healthcare benefits including vision and dental
- Visa support (H1B and OPT transfers) for US employees
Reka is an AI research lab building foundational intelligence for the physical world. Its mission is to build useful multimodal artificial intelligence and use it to empower organisations and businesses.
🇺🇸 United StatesAIStartup
Salary not disclosed