Senior ML Engineer
At a glance
Senior Machine Learning Engineering role at Social Discovery Group. Remote, Serbia · full-time.
Pay not stated ML Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Set the ML roadmap by choosing strategic bets and connecting each to a business need
- Adapt LLMs from dataset preparation through fine-tuning and preference optimization
- Build tool-using LLM agents, their harnesses, and workflows for multi-agent development
- Create evaluation systems, including LLM judges, that forecast performance in real use
- Improve dialogue memory, emotional intelligence, persona consistency, safety, and anti-loop behavior
What you bring
- Expert Python skills across production code, async work, profiling, debugging, and notebooks
- Hands-on LLM training and fine-tuning, including SFT, LoRA or QLoRA, and PEFT
- Experience preparing LLM datasets and evaluating models with offline tests, judges, or human annotation
- Strong grasp of transformer architecture, agent harness design, and production LLM integration
- Fluent Russian and availability to work in CET within two hours
Who this fits
This senior role suits an engineer who can shape ML priorities and deliver LLM systems into production. It is full-time and remote in Serbia, with work hours aligned to CET within two hours.
From the employer
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.
We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025).
We are looking for Machine Learning Engineer.
Your main tasks will be:
- Set the ML direction: choose which strategic bets to make and tie each one 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 that make the team faster and more effective.
- Build evaluation frameworks and LLM-as-a-judge systems that reliably 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.
We expect from you:
- Python expert level: clean code, typing, async, multiprocessing, profiling, debugging, notebooks + production code.Trainsformers.
- 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.
What do 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.
Sounds good? Join us now!