hirly

Reka

Member of Technical Staff (Machine Learning Engineer)

Remote

Apply through hirly

hirly scores this role against your resume, shows its reasoning, then writes a resume and cover letter for it and fills the application with you. Free to start — no card required.

hirly's read of this role

Role family
Data & ML
Seniority
Lead / management
Work mode
Remote-friendly
First seen by hirly
1 Sept 2026

Derived automatically from the posting. Sign up to see how the role scores against your own resume.

the posting

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.

Is this role actually a fit for you?

hirly answers with a score and its reasoning, then writes the resume and cover letter if you decide to go for it.

Score it against my resume
Member of Technical Staff (Machine Learning Engineer) at Reka — hirly