Loka, Inc
Serbia
Machine Learning Engineer
Machine Learning Mid-Senior level 2d ago
- AI
- AWS
- Cloud
- Containerization
S
AI Summary
Lead the machine learning strategy for dialogue systems at Social Discovery Group, owning roadmap decisions tied to business metrics like ARPU, retention, and chat depth. Manage and grow a team of 3 ML engineers while driving LLM post-training (SFT, LoRA/QLoRA, DPO/ORPO/SimPO/GRPO), agent harnesses, tool-using LLM systems, and robust evaluation frameworks. Requires a technical degree, hands-on ML engineering background, expert-level Python, production LLM systems experience, fluent Russian, and availability to work in CET (±2) hours.
Key Highlights
Own the ML strategy for dialogue systems, tying technical bets to business metrics (ARPU, retention, chat depth)
Lead a team of 3 ML engineers, including hiring, performance decisions, and people development
Drive LLM post-training end to end: SFT, LoRA/QLoRA, preference optimization, and dataset construction
Fully remote position with a fully international, remote-first team
Stay hands-on with roughly 10–20% of time on prototypes, debugging, and code review
Key Responsibilities
Own the ML strategy for dialogue systems, deciding what to build and in what order, tied to business metrics (ARPU, retention, chat depth)
Lead a team of 3 ML engineers: set the technical bar, distribute work, hire, let go, and grow team members
Drive LLM post-training and model adaptation end to end: SFT, LoRA/QLoRA, preference optimization (DPO/ORPO/SimPO/GRPO), and 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, and regression suites correlated with A/B outcomes
Reduce dialogue failure modes such as loops, contradictions, persona drift, context loss, and generic replies while keeping inference efficient on latency and cost
Stay hands-on (10–20% of time) with prototypes, debugging agent traces, and reviewing team work
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Technical Skills Required
Benefits & Perks
Fully remote full-time opportunity
28 calendar days of vacation per year
7 wellness days per year
Bonuses up to $5000 for successful referrals
50% payment for professional training, international conferences, and meetings
Corporate discount for English lessons
Health benefits compensation up to $1,000 gross per year if not eligible for corporate medical insurance
Workplace organization: equipped office/co-working space or reimbursement up to $1,000 gross once every 3 years
Internal gamified gratitude system with bonuses exchangeable for merchandise and activities
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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
Job Description
Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another.Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world.We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world.
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