Job Title: ML Engineer
Title: ML Engineer – Telegraph
ML Engineer
Company: Vadekvate LLC (Vadekvate.ru)
Location: Russia, remote
Work Format: Remote
Salary: Discussed following the technical interview
We are Vadekvate, a startup in the online dating space.
Our mission is to create a service that helps the maximum number of people find happy and healthy relationships. We believe that modern technologies can improve people's lives not only through convenience but also by assisting in finding a soulmate.
We are currently building a next-generation dating platform where the focus is on the quality of connections, user compatibility, and long-term relationships, rather than endless swiping for the sake of swiping.
We are in a phase of active product development and preparation for an investment round. Investment attraction is expected in July-August 2026.
At this stage, cooperation is formalized under a contract with deferred remuneration payment (Civil Law Contract/Individual Entrepreneur), with an increased coefficient. After closing the investment round, we will transition to the standard format of monthly payments (employment under the Labor Code of the Russian Federation) and long-term cooperation within the team.
Responsibilities
- Develop and implement ML features for the dating platform: recommendations, search, security, and anti-fraud.
- Build recommendation systems and user compatibility models to improve matching quality.
- Develop NLP solutions for analyzing profiles, extracting structured features, and semantic search.
- Implement CV models for content moderation, photo authenticity verification, and AI-generated image detection.
- Create risk scoring models, identify bots, fakes, and fraudulent activity.
- Design the full ML lifecycle: data preparation, training, quality evaluation, model deployment, and monitoring.
- Work closely with product, backend developers, and QA, participating in key technical decisions.
Requirements
- ML Engineer work experience of 3+ years and solid proficiency in Python.
- Practical experience in bringing ML models to production and supporting their lifecycle.
- Good knowledge of PyTorch or TensorFlow.
- Experience with recommendation systems, ranking, or personalization.
- Experience in solving NLP tasks: embeddings, text classification, semantic search, retrieval.
- Understanding of MLOps practices: versioning, monitoring, evaluation, CI/CD for models.
- Ability to independently make technical decisions and build the ML direction practically from scratch.
Will be a plus
- Experience in Computer Vision: content moderation, face analysis, deepfake detection.
- Experience in creating anti-fraud and risk models.
- Experience with LLMs, RAG, and modern open-source models.
- Experience with vector search (Qdrant, FAISS, Weaviate, etc.).
- Experience with graph models and recommendation systems.
What we offer
- Participation in product development from the initial stages;
- Opportunity to influence technical decisions and system architecture;
- Minimum bureaucracy and a fast decision-making cycle;
- A strong and motivated team;
- Growth prospects along with the company;
- Remote work format.
To apply: recruiter contact
