Job Title: Senior Contract Technical Recruiter / Sourcer
Compensation: $60.00 – $100.00 / hour (DOE / domain expertise)
Commitment: up to 40 hours/week | 3-Month Initial Contract (Targeting Long-Term Engagement)
Location: Hybrid preferred (Boston area for initial onboarding/ramp-up and occasional site visits) but open to strong remote candidates.
Eka RoboticsEka Robotics is on a mission to build intelligence for the physical world - robots that are fast, general, and reliable. Our approach, grounded in physics, unlocks superhuman capabilities. We are defining the frontier of robotics research and deployment.
Our team consists of pioneers in robotics and machine learning. We are now hiring to scale our R&D effort. We are looking for hands-on individuals who are excited to help shape the future of robotics.
About the RoleWe are seeking a high-caliber Senior Contract Technical Recruiter/Sourcer with deep domain expertise in Robotics, Reinforcement Learning, and Physical AI. In this role, your primary focus (90%+) will be deep-dive passive sourcing for world-class research and robotics engineering talent. You will partner closely with engineering leadership to map elite academic labs, mine top AI conferences, and engage non-obvious candidates building the future of physical intelligence.
Beyond sourcing, you will provide lightweight recruiter coverage during internal PTO (including interview coordination) and contribute to targeted RecOps side projects.
Key ResponsibilitiesPassive Talent Acquisition: Execute high-touch, hyper-personalized outreach to passive PhD researchers and high-performance robotics engineers.
Talent & Lab Mapping: Map out key university research groups, industry labs, and competitor teams to build structured talent pipelines.
Full-Stack Sourcing Execution: Own top-of-funnel generation for complex roles using specialized platforms, literature repositories, and community channels beyond traditional LinkedIn (e.g. Github).
Recruiter Support & Coverage: Provide coverage for full-cycle coordination and candidate management during internal recruiting team PTO.
RecOps Projects: Assist with ad-hoc talent operations, pipeline analytics, and workflow optimizations.
1. Research Engineers (ML / RL, Computer Vision, Simulation)
Target Profile: PhD-level researchers with strong publication records in top-tier conferences (CoRL, ICRA, NeurIPS, CVPR) and post-doctoral or specialized industry experience.
2. Software Engineers (Robotics & ML/RL Infrastructure)
Robotics Software: Performance-focused systems engineers specializing in low-level Linux profiling, real-time compute, ROS2, and edge deployment of ML models (TensorRT, ONNX).
ML/RL Infrastructure: Distributed systems engineers proficient in C++/Python/JAX who build scalable training infrastructure, orchestration pipelines (Kubernetes, SLURM), and internal developer tools.
4+ years of technical sourcing experience, with at least 1+ year specifically targeting niche Robotics, ML/RL, or Embodied AI talent.
Academic & Literature Sourcing Expertise: Proven ability to navigate research proceedings (arXiv, OpenReview, CoRL, ICRA, IROS, CVPR, RSS, NeurIPS) to identify publication-author talent.
University Lab Mapping: Experience mapping and extracting top talent from elite university research groups (e.g., MIT CSAIL, Stanford RAIL, UC Berkeley BAIR, CMU Robotics Institute).
Beyond-LinkedIn Toolkit: Demonstrated mastery of alternative candidate identification channels (GitHub, Semantic Scholar, X/Twitter, specialized Discord/Slack communities).
Technical & Domain Fluency: Ability to fluidly converse in physical AI concepts, evaluate thesis work, and translate technical job requirements into highly relevant candidate pools.
Active talent networks and existing relationships within the robotics and physical AI ecosystem.
Ability to parse research papers, citation metrics, and dissertations to evaluate candidate alignment.
Deep competitive intelligence surrounding specialized physical AI startups and major tech research divisions.
Skills Required
- 4+ years of technical sourcing experience
- At least 1 year targeting niche Robotics, ML/RL, or Embodied AI talent
- Experience navigating research proceedings and literature, including arXiv, OpenReview, CoRL, ICRA, IROS, CVPR, RSS, and NeurIPS
- Experience mapping elite university research groups and extracting top talent
- Mastery of alternative candidate identification channels, including GitHub, Semantic Scholar, X/Twitter, and specialized Discord or Slack communities
- Ability to converse fluently about physical AI concepts, evaluate thesis work, and translate technical requirements into relevant candidate pools
- Active talent networks and relationships within the robotics and physical AI ecosystem
- Ability to parse research papers, citation metrics, and dissertations to evaluate candidate alignment
- Deep competitive intelligence on specialized physical AI startups and major technology research divisions
Eka Robotics Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Eka Robotics and has not been reviewed or approved by Eka Robotics.
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Fair & Transparent Compensation — Some Eka Robotics job postings publicly share salary bands for specific roles, offering a degree of clarity on base pay expectations. These disclosures provide directional insight even though not all listings include ranges.
Eka Robotics Insights
What We Do
We are building intelligence for the physical world in its native language: force. Until now, robotics required choosing: generality or performance. Our Vision-Force-Action (VFA) model changes that. This new foundation unites generality, performance, and safety, pushing robots beyond human limits and into everyone's hands.
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