Senior ML Engineer

• Set the ML direction by choosing strategic bets and tying each to clear business needs
• Drive LLM post-training and model adaptation end to end, from dataset construction to fine-tuning and preference optimization
• Design and build agent harnesses and tool-using LLM systems
• Shape multi-agent development workflows to improve team effectiveness
• Build evaluation frameworks and LLM-as-a-judge systems that predict real-world performance
• Improve dialogue quality across memory, emotional intelligence, persona consistency, safety, and anti-loop behavior
• Ship production systems that directly shape user experience, retention, and monetization

• Python expert level: clean code, typing, async, multiprocessing, profiling, debugging, notebooks + production code
• Transformers
• Training and fine-tuning LLMs
• SFT, LoRA/QLoRA, PEFT
• Preference optimization: DPO / ORPO / SimPO / CPO / GRPO or willingness to quickly go deep
• Building datasets for LLM training: cleaning, filtering, deduplication, preference pairs, synthetic data, hard negative mining
• LLM evaluation: offline evals, pairwise evals, LLM judges, human annotation
• Agent harness design: tool calling, function calling, structured outputs, retries, routing, state management, memory/context, guardrails
• Production LLM integration: APIs, streaming, batching, fallbacks, cost/latency trade-offs
• Observability for agents: traces, tool-call logs, transcript analysis, failure clustering
• Strong understanding of transformer architecture and modern LLM behavior
• Accuracy with dtype/device/batching: fp32/fp16/bf16, quantization, CUDA memory, avoiding dtype mismatch bugs
• Git, Docker, Linux, basic MLOps
• Fluent Russian
• Ready to work in CET (±2) hours
• Nice to have: experience beyond text (computer vision, image generation, multimodal), long-running conversations and character consistency, vLLM / TGI / SGLang, DeepSpeed / FSDP / Accelerate, quantization, safety classifiers

• REMOTE OPPORTUNITY to work full-time
• Vacation 28 calendar days per year
• 7 wellness days per year (time off)
• Bonuses up to $5000 for recommending successful applicants for positions in the company
• 50% payment for professional training, international conferences, and meetings
• Corporate discount for English lessons
• Health benefits: compensation of up to $1,000 gross per year per employee for self-purchase of health insurance or doctor’s fees for yourself and close relatives if not eligible for corporate medical insurance
• Equipped workplace and necessary equipment in offices or co-working locations
• Reimbursement of workplace costs up to $1000 gross once every 3 years for co-working rent or home office equipment
• Internal gamified gratitude system with bonuses exchangeable for merchandise, team building activities, massage certificates, etc.