Staff AI/ML Engineer: Remote, Equity & Unlimited PTO

Tonic AI; Poland; Remote; PLN 260,000 - 380,000; Full time

Job summary

Tonic AI is building the data infrastructure behind modern AI, creating synthetic environments and de-identifying real data for safe model training. You will design systems for longitudinal synthetic data, train synthesis and NER models, and evaluate production-ready solutions at scale.

Join a senior team working with frontier labs and major enterprises to push the boundaries of what models can safely do, with a remote-friendly environment and impactful data problems.

Qualifications

• 8+ years building production ML systems with depth in LLMs, agents, RL, NER, or information extraction.
• Hands-on experience shipping models to production at scale and measuring quality.
• Experience with generative or synthesis models where output fidelity and utility matter.
• Strong software engineering fundamentals; you write code others build on.
• Fluency with PyTorch and distributed training stacks.
• Comfort working with messy, sensitive data and privacy constraints.
• Proven track record delivering measurable shipped results.
• Bonus: synthetic data generation, data privacy or de-identification, or benchmark construction.

Responsibilities

• Design and build systems that generate longitudinally coherent synthetic environments for agent training and evaluation.
• Build and maintain synthesis models that generate realistic replacement values at large scale while preserving format and distribution.
• Train and improve the NER models behind entity detection across free text and structured data.
• Develop evaluation infrastructure that discriminates between frontier models on real tasks.
• Fine-tune open-weight models on Tonic-generated data and translate benchmarks into product direction.
• Expand coverage into new domains, languages, and entity types.
• Own model evaluation across detection precision/recall and synthesis utility; drive shipped results.
• Optimize inference for large volumes of sensitive data in customer environments.
• Partner with frontier labs and enterprise ML teams to turn hard data problems into model improvements.
• Set technical direction for a small senior team and raise rigor and reproducibility.

Skills

Production ML systems

LLMs & Agents

NER / Information Extraction

Software Engineering

PyTorch

Data Privacy

Benchmarking

Education

PhD in CS/ML

MS in CS/ML acceptable

Tools

PyTorch

Distributed Training

Benchmark Frameworks

RLHF Tools

Data Pipelines

Job description

Tonic AI is building the data infrastructure behind modern AI, creating synthetic environments and de-identifying real data for safe model training. You will design systems for longitudinal synthetic data, train synthesis and NER models, and evaluate production-ready solutions at scale.

Join a senior team working with frontier labs and major enterprises to push the boundaries of what models can safely do, with a remote-friendly environment and impactful data problems.