Data & AnalyticsRemote

Member of Technical Staff (Machine Learning Engineer)

Reka · Remote

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Last seen by MeritLog September 13, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from Reka's Ashby job board and last checked it on September 13, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model: Remote
Salary: Not listed by source
Location: Remote

Hiring context

How this role compares at Reka

Reka has 9 live roles in MeritLog’s catalog across 3 job families, and 7 of them are in data & analytics. 0 of those listings publish a pay range, a disclosure rate of 0%.

Reka concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd 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 they're asking for

MS/PhD in Computer Science, Electrical Engineering, or related fieldEducation
Strong research experience with familiarity in top conferences (e.g., CVPR, ICCV, NeurIPS)Skill
5+ years of experience in Python and proficiency in Java, C++, or ScalaExperience
Strong understanding of diffusion modelsSkill
Strong understanding of multi-threading and memory managementSkill
Solid knowledge of ML architectures: CNNs and TransformersSkill
Experience with PyTorch or TensorFlowSkill
Experience building end-to-end ML deployment and inference systems, especially for low-latency, real-time applicationsSkill
Experience deploying ML models in cloud environments (AWS preferred)SkillPreferred
Experience with experiment tracking systems and ML workflowsSkill
Experience in low level optimisation, cuda etc.SkillPreferred
Experience productionizing and scaling ML models in real-world systemsSkillPreferred
Contributions to open-source projectsSkillPreferred
Experience with MLOps tools or distributed training systemsSkillPreferred
Familiarity with relational databases (Postgres/MySQL)SkillPreferred
Experience handling large-scale data using tools like SparkSkillPreferred

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

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.

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