Senior ML Engineer

Key responsibilities

• Design, develop, deploy, and optimize machine learning models for specific business needs.
• Conduct exploratory data analysis, model validation, testing, and continuous improvement based on feedback and new data.
• Collaborate with teams to set up experiments with models and analyze the results to drive model improvements.
• Identify opportunities for leveraging company data to drive business solutions.
• Serve as a consultant for the business on best practices for model implementation and integration.
• Translate complex ML concepts for non-technical stakeholders.
• Document model architectures, training procedures, and results.
• Establish and track key performance metrics for models, reporting regularly on performance and insights.

Requirements

• 5+ years of ML development: proven track record of designing, developing, and deploying machine learning models in production environments. NLP/Neural networks are preferable.
• Background in designing and conducting model-related experiments, including A/B testing.
• Strong skills in languages like Python, R, or other relevant ML languages.
• Strong algorithm knowledge.
• Proficiency in managing large datasets, with familiarity with database systems like SQL, NoSQL, and data warehousing tools.
• Ability to dissect complex problems and derive data-driven solutions, along with keen observational skills to identify patterns in data.
• Capability of conveying intricate ML concepts clearly to both technical and non-technical audiences.
• English skills — B2 level.
• Experience in cross-functional collaboration: demonstrated history of working alongside Product Managers, Engineers, and business stakeholders.

We offer

• International experience: become a part of an international team, from the US to the UK and beyond.
• Creativity every day: we make products for musicians, artists, and creators, and so each of us is a bit of a musician.
• Opportunity to influence the development of the music industry: we positively impact the lives of 400 million musicians around the world — and growing! In this role, you will influence business decisions at the company level.
• Growth: we pay for specialized training, language lessons, conferences, and business books.
• Care: corporate psychologist, assistance in difficult life circumstances.