ML Engineer – Agents, Data
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Job Description
Senior ML Engineer for AI product development in a leading social discovery company. Working on large-scale ML systems and cutting-edge generative AI technologies.
Responsibilities:
- Design and build production-grade ML systems, including LLM-based applications and AI agents
- Develop and maintain scalable data pipelines for training and evaluating machine learning models
- Work with large multimodal datasets (text, images, video) and build efficient data processing workflows
- Improve model quality, evaluation pipelines, and automated metrics
- Implement and optimize training and inference pipelines, including GPU optimization where needed
- Experiment with modern generative AI approaches, including LLMs and multimodal models
- Collaborate closely with engineers and product teams to deliver robust ML solutions in production
- Continuously improve system performance, reliability, and scalability
Requirements:
- 5+ years of hands-on experience in Machine Learning / AI engineering
- Strong Python programming skills and experience building production systems
- Experience working with LLMs, generative AI, or modern deep learning models
- Experience building data pipelines and processing large datasets
- Experience with distributed data processing frameworks (Ray, Spark, Dask, or similar)
- Solid understanding of model training, evaluation, and optimization techniques
- Ability to take ownership of solutions end-to-end and work independently
- Strong problem-solving skills and ability to operate in a fast-paced environment
Benefits:
- REMOTE OPPORTUNITY to work full time;
- 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.
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