Member of Technical Staff (Machine Learning Engineer)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 96d ago
The date the source published, not the day we noticed it (2026-06-11). Last seen at its source 2h ago.
Is it remote?
Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Not stated
The description states no restriction of its own. This is the source's own tag.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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ashby employer's own board first seen 26d ago · last seen 2h ago
The listing
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 QualificationsMS/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 HaveExperience 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.