Senior Machine Learning Engineer

TolokaRemote · Posted 22 days ago

Full-timeRemoteEst. 120,000 EUR

Description

About Toloka

At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages. We are a well-funded startup with an enviable portfolio of clients including Anthropic, Amazon, Microsoft, Poolside, Recraft, and Shopify.

Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin, CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA, UK, the Netherlands, Serbia, and more.

About the Team

We are the ML team inside Toloka — we build the machine-learning products that power the platform itself, so every project running on Toloka is faster, cheaper, and more reliable.

A few examples of what we own:

LLM QA — the core technology behind Toloka's automated quality-check mechanism. Every annotation flowing through Self-Service is reviewed by an LLM agent we design, train, and operate.
Model distillation and fine-tuning — adapting frontier and open-source models to Toloka's tasks to hit the right quality at the right cost.
Evaluation, benchmarking, cost modeling, and model selection across providers.

We own the full chain. The same team designs the ML solution, ships it to production, keeps it running 24/7, analyzes the results coming back from real projects, and feeds that signal into the next iteration. No hand-off between research, engineering, and operations — it's all us.

About the Position

As a Senior ML Engineer, you will design, train, and deploy the AI agents that drive our core products. You will focus on end-to-end ML tasks—including fine-tuning and Reinforcement Learning (RL)—to build resilient agentic workflows in Python. You will own the full lifecycle of your models, closing the loop from research and benchmarking to production scaling and monitoring.

What you’ll do

Train, fine-tune, and distill ML models (including RL approaches) to power autonomous AI agents.
Build and operate agentic workflows in Python, handling complex reasoning and hybrid human-expert interactions.
Own evaluation and benchmarking, selecting foundational models and establishing cost models.
Manage the full ML lifecycle: design solutions, ship to production, and monitor real-time signals.
Implement observability metrics tailored for agent logic, model performance, and system reliability.

What we're looking for

3+ years of experience in ML: Strong background in model training, fine-tuning, and Reinforcement Learning (RL);
1+ year in Agent Development: Practical experience building, evaluating, and launching autonomous AI agents;
Agentic Frameworks: Proven experience working with frameworks such as LangChain, LlamaIndex, or AutoGen;
Open-Source LLMs: Practical knowledge of model distillation and adapting open-source models (e.g., Llama, Mistral);
Python Mastery: Advanced proficiency in Python with a drive to apply disciplined software engineering standards to ML;
End-to-End Ownership: Ability to work across the entire chain, from research to production operations;
Language: Fluency in English (B2 or above).

What we can offer

You will be part of an international, dynamic environment that drives innovation and sets new standards in the AI and technology sector.
Competitive compensation package including base salary, bonus, and ESOP.
Paid PTO and benefits will vary depending on location.
We offer a full remote or hybrid model (if you are based in NL or Serbia).
IT setup and home office allowances.

Equal Opportunity Employer:

Toloka is committed to providing equal opportunity and fostering an inclusive environment. We welcome applications from all qualified individuals and do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, gender identity, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Selection decisions are made based on qualifications, merit, and business need.

[Important Notice] Scam Alert Regarding Fake Job Postings

It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants. Please be aware:

Official Communication: Our recruiting team will only contact you from an official "toloka.ai" email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc, or other personal or seemingly business email accounts.
Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process.
Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list

What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it.

Thank you for your vigilance!

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Senior Machine Learning Engineer

Description

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