We are hiring Data Analysts to work across multiple teams at Constructor, including Data Science Integrations, Ranking, Recommendations, and Personalization. In this role, you will work at the intersection of data, product, and machine learning.

Responsibilities

• Analyze user behaviour and large-scale datasets to identify patterns, issues, and opportunities for improvement
• Design, run, and analyze A/B tests to evaluate product changes and measure impact on key business metrics
• Define and validate metrics that reflect both user experience and business outcomes
• Build dashboards, reports, and data tools to support decision-making across teams
• Partner with customers, engineering, product, and business teams to translate insights into product improvements

Requirements

We are looking for strong analytical thinkers who are comfortable working with data to drive product and business decisions. Core skills:

• Strong analytical skills and experience solving business problems using data
• Solid knowledge of SQL and experience working with large datasets
• Experience with Python for data analysis (pandas, NumPy, visualization libraries)
• Understanding of A/B testing and statistical concepts

Product & data understanding:

• Understanding of machine learning pipelines, training data quality, and model evaluation
• Familiarity with ranking, recommendations, or search relevance is a plus
• Experience defining metrics, building metric trees, and analyzing product funnels

Communication & ownership:

• Ability to communicate insights clearly and translate business needs into analytical solutions
• Comfortable working with multiple stakeholders in a fast-paced environment

Benefits

• Work with smart and empathetic people who will help you grow and make a meaningful impact
• Regular team offsite events to connect and collaborate
• Fully remote team - choose where you live
• Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
• Work from home stipend
• Apple laptops provided for new employees
• Training and development budget for every employee, refreshed each year
• Maternity & Paternity leave for qualified employees
• Base salary: $80k–$120K USD, depending on knowledge, skills, experience, and interview results
• Stock options - offered in addition to the base salary

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As a Machine Learning / AI Engineer, you will design, build, and productionize ML models for Search, Discovery, Ranking, Retrieval-Augmented Generation (RAG), and generative AI features. You will also build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows.

You will collaborate closely with engineers, researchers, designers, and product managers across multiple teams to deliver high-quality ML-driven features and infrastructure. This is a high-impact, cross-functional role where you will shape both foundational systems and user-facing capabilities.

Key responsibilities include:

• Design, build, and productionize ML models for Search, Discovery, Ranking, Retrieval-Augmented Generation (RAG), and generative AI features.
• Build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows.
• Collaborate with AI researchers to iterate on datasets, evaluation metrics, and model architectures to improve quality and relevance.
• Work with product engineers to define and deliver impactful AI features across Figma's platform.
• Partner with infrastructure engineers to develop and optimize systems for training, inference, monitoring, and deployment.
• Explore new ideas at the edge of what's technically possible and help shape the long-term AI vision at Figma.

Requirements include:

• 5+ years of industry experience in software engineering, with 3+ years focused on applied machine learning or AI.
• Strong experience with end-to-end ML model development, including training, evaluation, deployment, and monitoring.
• Proficiency in Python and familiarity with ML libraries like PyTorch, TensorFlow, Scikit-learn, Spark MLlib, or XGBoost.
• Experience designing and building scalable data and annotation pipelines, as well as evaluation systems for AI model quality.
• Experience mentoring or leading others and contributing to a culture of technical excellence and innovation.

Preferred qualifications include:

• Familiarity with search relevance, ranking, NLP, or RAG systems.
• Experience with AI infrastructure and MLOps, including observability, CI/CD, and automation for ML workflows.
• Experience working on creative or design-focused ML applications.
• Knowledge of additional languages such as C++ or Go is a plus, but not required.
• A product mindset with the ability to tie technical work to user outcomes and business impact.
• Strong collaboration and communication skills, especially when working across functions (engineering, product, research).

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

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Key responsibilities include:

• Developing and deploying ML-based search and discovery relevance models and systems integrated with Databricks' products and services.
• Designing and implementing automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration.
• Collaborating with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience.
• Contributing to building a robust framework for evaluating search ranking improvements - both offline and online.

Requirements include:

• A Bachelor's degree in Computer Science or a related field, with a Master's or PhD preferred.
• 5+ years of experience developing search relevance systems at scale in production or in high-impact research environments.
• Experience applying LLM to search relevance.
• Strong understanding of computer science fundamentals.
• Contributions to well-used open-source projects.

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