Описание

Social Discovery Group is looking for a Machine Learning Lead to own the ML strategy for dialogue systems, lead a team of ML engineers, and drive LLM post-training and model adaptation.

Responsibilities

Own the ML strategy for dialogue systems: decide what to build and in what order, and tie those bets to business metrics (ARPU, retention, chat depth)
Lead a team of 3 ML engineers — set the technical bar, distribute work, hire and let go, grow the people you keep
Drive LLM post-training and model adaptation end to end: SFT, LoRA/QLoRA, preference optimization (DPO / ORPO / SimPO / GRPO), dataset construction
Design agent harnesses and tool-using LLM systems: tool calling, structured outputs, routing, retries, memory and context, guardrails
Build the evaluation layer: offline and pairwise evals, LLM-as-a-judge, regression suites that actually correlate with A/B outcomes
Cut dialogue failure modes — loops, contradictions, persona drift, context loss, generic replies — and keep inference efficient on latency and cost per message
Stay hands-on where it matters (roughly 10–20% of your time): prototypes, debugging agent traces, reviewing your team's work

Requirements

Technical degree and a real ML engineering background — you have trained and shipped models yourself, not only managed people who do
Experience leading a team of 3–5 ML engineers, including hiring and performance decisions
Expert-level Python, solid understanding of transformer architecture and modern LLM behavior, hands-on with training, fine-tuning and evaluation
Production experience with LLM systems: APIs, streaming, batching, fallbacks, cost/latency trade-offs, observability over traces and transcripts
Ability to read fresh research and turn it into a prototype, an eval and a shipped change with measurable impact
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

We offer

REMOTE OPPORTUNITY to work full-time
The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment
Vacation 28 calendar days per year
7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave
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. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children)
Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years
Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc.

Hiring process

Apply via the provided link or by using Indeed Resume/LinkedIn