Machine Learning Lead

🔥 17 hours ago

🌐 Serbia, Spain – Remote

🇷🇸 Serbia – Remote 🇪🇸 Spain – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Social Discovery Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 20 years

🌍 Social Impact

📱 Media

Social Impact • Media • Entertainment

Social Discovery Group is the world's largest group of social discovery companies, focused on solving the problems of loneliness, isolation, and disconnection through digital reality. With 500 million users across 150 countries, the group boasts over 60 global communication and entertainment platforms. Employing a team of 1200 professionals, the company organizes events that unite a global community of professionals and provides career opportunities for individuals seeking ambitious challenges.

📋 Description

• Own the ML strategy for dialogue systems and connect priorities to business metrics such as ARPU, retention, and chat depth • Lead a team of 3 ML engineers; set the technical bar, distribute work, hire and let go, and develop team members • Drive LLM post-training and model adaptation end to end, including SFT, LoRA/QLoRA, preference optimization, and dataset construction • Design agent harnesses and tool-using LLM systems, including tool calling, structured outputs, routing, retries, memory and context, and guardrails • Build the evaluation layer with offline and pairwise evaluations, LLM-as-a-judge, and regression suites correlated with A/B outcomes • Reduce dialogue failure modes including loops, contradictions, persona drift, context loss, and generic replies • Keep inference efficient in latency and cost per message • Spend approximately 10–20% of time on prototypes, debugging agent traces, and reviewing the team’s work

🎯 Requirements

• Technical degree and a real ML engineering background; trained and shipped models personally • 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 experience with training, fine-tuning, and evaluation • Production experience with LLM systems, including APIs, streaming, batching, fallbacks, cost/latency trade-offs, and observability over traces and transcripts • Ability to read fresh research and turn it into a prototype, an evaluation, and a shipped change with measurable impact • Fluent Russian • Ready to work in CET (±2) hours • Nice to have: experience beyond text, long-running conversations and character consistency, vLLM / TGI / SGLang, DeepSpeed / FSDP / Accelerate, quantization, and safety classifiers

🏖️ Benefits

• 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-purchased health insurance or doctor’s fees when 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 or home-office setup • Internal gamified gratitude system with bonuses exchangeable for merchandise, team building activities, massage certificates, etc.