Senior ML Engineer — Remote, LLM & Multi-Agent AI

Dating Group; España; Remote; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Remote opportunity

Vacation 28 days/year

Wellness days

Referral bonuses up to $5000

Health benefits

Training budget

Job summary

Social Discovery Group (SDG) is hiring a Machine Learning Engineer to drive the ML direction for our remote, globally distributed team. You will lead LLM post-training, fine-tuning, and multi-agent system design, building robust evaluation and deployment workflows that improve dialogue, memory, and safety across our social discovery products.

The role demands deep Python expertise, experience with Transformers and LLM optimization techniques, dataset construction, and strong MLOps fundamentals.

Qualifications

• Python expert level: clean code, typing, async, multiprocessing, profiling, debugging, notebooks + production code.
• Training and fine-tuning LLMs.
• SFT, LoRA/QLoRA, PEFT.
• Preference optimization: DPO / ORPO / SimPO / CPO / GRPO.
• 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, 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.

Responsibilities

• Set the ML direction: tie each strategic bet 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.

Skills

Python

Transformers

LLM training

LoRA/QLoRA

PEFT

Datasets

Evaluation frameworks

Git

Docker

Linux

MLOps basics

Russian language

Tools

vLLM

TGI

SGLang

DeepSpeed

FSDP

Accelerate

Job description

Social Discovery Group (SDG) is hiring a Machine Learning Engineer to drive the ML direction for our remote, globally distributed team. You will lead LLM post-training, fine-tuning, and multi-agent system design, building robust evaluation and deployment workflows that improve dialogue, memory, and safety across our social discovery products.

The role demands deep Python expertise, experience with Transformers and LLM optimization techniques, dataset construction, and strong MLOps fundamentals.