What We Do
We hire the people who build AI: machine learning, large language models and robotics.
AI, ML & Robotics Recruitment
We find engineers and researchers who move the needle: ML and LLM engineers, research engineers and scientists, computer vision and speech specialists, robotics, perception and controls engineers, MLOps and ML infrastructure.
Fast Start
Quick kickoff and your first shortlist of pre-screened candidates within the first week, so you can start interviewing right away.
AI-Powered Screening
Every candidate goes through a screening call with AI notes and a deep profile enrichment: GitHub, publications, Kaggle, conference talks and more. You see real work, not just keywords.
Hiring Strategy & Compensation
We help you define the role, build a hiring plan and benchmark salary and equity against the San Francisco and Silicon Valley market, so your offers get accepted.
Why Us? Based in San Francisco. Focused on AI, ML & Robotics.
Silicon Valley Network
Direct access to ML engineers, AI researchers and robotics engineers from top AI labs, Big Tech and fast-growing startups in the Bay Area, across the US and globally.
Multiple Data Sources
We go far beyond LinkedIn: GitHub, arXiv papers, ICPC and olympiad rankings, Kaggle, conference speaker lists and open-source communities.
Replacement Guarantee
If a hire doesn't work out in the first 90 days, we find a replacement at no extra cost.
Deep Expertise
AI, ML and robotics only: LLMs, computer vision, speech, autonomy and ML infrastructure.
Passive Talent
We reach engineers and researchers who aren't on job boards — top performers who are rarely looking but open to the right offer.
AI-Powered Sourcing
We use AI tools like Noon.ai, Juicebox and Metaview to search wider and screen faster, with an experienced recruiter behind every decision.
Which AI, ML or Robotics roles are you hiring for?
Our Clients Love Us
I worked with Anya on recruiting talented Russian developers for Adjust. Anya is the most professional, hard-working, and pleasant person to collaborate with. I couldn’t have wished for a better partner. Thank you for being there through all the challenges and victories!
Julia RomanovaEx-Tech Recruiter at Adjust (AppLovin)LinkedIn ↗I worked with Anna while expanding my tech team at Monite. She is truly an incredible expert! She was involved in every aspect of our hiring process: sourcing candidates, conducting screening interviews, and even helping me negotiate salaries.
She owned the entire hiring process from A to Z. Anna always does the right things. Without her help, it would have been impossible for me to build the outstanding tech team we have today.
Andrei KorchakCo-founder at MoniteLinkedIn ↗Anna is an exceptional tech recruiter, one of the most effective I've encountered in years. Our collaboration has resulted in numerous successful hires for our company. I especially appreciate that Anna doesn’t waste time on unnecessary calls, syncs, or emails — instead, she quickly understands the current need, finds a few strong candidates, sets up the interview process, and that's it. Beyond her professional qualities, she’s also a kind and sincere person. Every conversation with her is a pleasure :)
Alexey ShagraevCEO & CTO @ lovi.care (Palta)LinkedIn ↗When you are in recruiting mode (i.e., from when you get product-market fit to T-infinity), you should spend about 25% of your time on it. At least one founder, usually the CEO, needs to get great at recruiting. It’s most CEOs’ number one activity by time. Everyone says that CEOs should spend a lot of their time recruiting, but in practice, none but the best do. There’s probably something to that.
A publication by Anna Storozhenko, founder of Relo
From the AI-Powered Sourcing newsletter
Insights on AI recruiting, technical sourcing, and the future of talent acquisition.
How ElevenLabs Built a Designer Sourcing Engine
30,000 inbound applications → 1 hire. 5,000 sourced candidates → 16 hires. The 7-step AI sourcing flywheel, prompts and talent pool strategy behind ElevenLabs' design team.
Nov 9, 2026 · 8 min read Hiring FraudSourcingCandidate Fraud in Recruiting: Why Identity Checks Belong Before the Offer
98% of HR leaders have seen fake candidates. What the data shows, the red flags to watch for, and the identity verification tools worth a look.
Nov 8, 2026 · 6 min read AI RolesML EngineersAI ResearchersLLMMLOpsHiringAI and ML Roles Explained: A 2026 Guide to Titles, Skills and Who to Hire
ML engineer vs AI engineer, research scientist vs research engineer, AI researcher, applied scientist, LLM engineer, data scientist, MLOps and inference engineer — what each AI and machine learning role means and who to hire.
Nov 7, 2026 · 8 min readFrequently Asked Questions
How we help startups and AI labs hire ML engineers, AI researchers and robotics talent.
What roles do you recruit for?+
We focus on AI, ML and robotics: ML and LLM engineers, research engineers and scientists, computer vision and speech specialists, robotics, perception and controls engineers, MLOps and ML infrastructure, plus the technical leaders who run these teams.
How fast will we see candidates?+
We kick off quickly and send your first shortlist of pre-screened candidates within the first week, so you can start interviewing right away.
How do you find candidates other recruiters miss?+
Most strong AI engineers are not actively looking. We go far beyond LinkedIn: GitHub, arXiv papers, ICPC and olympiad rankings, Kaggle, conference speaker lists and open-source communities. AI tools like Noon.ai, Juicebox and Metaview help us search wider, and an experienced recruiter reviews every candidate.
How do you screen candidates?+
Every candidate goes through a screening call with AI notes and a deep profile enrichment: GitHub, publications, Kaggle, conference talks and more. Your team runs the technical interviews, and you get real evidence of each candidate's work up front.
What if a hire doesn't work out?+
If a hire leaves in the first 90 days, we find a replacement at no extra cost.
How much does it cost?+
Fees depend on the role's seniority and scope and are agreed upfront, before the search starts. Leave a request below and we'll send you a proposal.
Do you only work with companies in San Francisco?+
We're based in San Francisco and know the Bay Area market best, but we also help tech companies hire across the US and for remote roles.
Do you help candidates too?+
Yes. Anna offers career coaching for engineers who want to get hired at MAANG and top AI startups: interview prep, resume and LinkedIn reviews and offer negotiation.
Ready to hire your next AI engineer?
We help Silicon Valley startups and AI labs hire ML engineers, AI researchers and robotics talent.