Software Engineer, Machine Learning - USA | Remote
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Role details
Tech stack
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Job description
- Design, build, and productionize machine learning models for Search, Discovery, Ranking, Retrieval-Augmented Generation (RAG), and generative AI features.
- Build and maintain scalable data pipelines for collecting high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows.
- Collaborate with AI researchers to improve datasets, evaluation metrics, and model architectures.
- 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 model training, inference, monitoring, and deployment.
- Explore emerging technical possibilities and contribute to Figma’s long-term AI vision.
Requirements
- 5+ years of industry experience in software engineering, including at least 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 machine learning libraries such as PyTorch, TensorFlow, Scikit-learn, Spark MLlib, or XGBoost.
- Experience designing and building scalable data and annotation pipelines, along with evaluation systems for AI model quality.
- Experience mentoring or leading others and contributing to a culture of technical excellence and innovation., * Familiarity with search relevance, ranking, natural language processing (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 machine learning applications.
- Knowledge of additional programming languages such as C++ or Go.
- A product mindset and the ability to connect technical work with user outcomes and business impact.
- Strong collaboration and communication skills when working across engineering, product, and research teams.
Benefits & conditions
- Compensation depends on factors including qualifications, relevant skills and experience, potential impact, role scope, market demands, and work location.
- For remote positions, the salary range is localized according to the employee’s work location, at 80%-100% of the stated range. Candidates can discuss location-specific compensation with their recruiter.
- Equity for employees.
- Health, dental, and vision benefits.
- Retirement plan with company contribution.
- Parental leave and reproductive or family planning support.
- Mental health and wellness benefits.
- Generous paid time off and company recharge days.
- Learning and development stipend.
- Work-from-home stipend and cell phone reimbursement.
- Annual bonus plan for eligible non-sales roles.
Work Arrangement
- Full-time position.
- Available at one of Figma’s US hubs or remotely within the United States.
- Candidates are required to keep their cameras on during video interviews.
- In-person onboarding is required for successful candidates.
About the company
Figma is a collaborative design platform that helps teams turn ideas into products through brainstorming, prototyping, design-to-code workflows, and AI-powered tools. Its platform enables teams to streamline workflows, work together in real time, and build products from anywhere., Figma is seeking an experienced Machine Learning / AI Engineer to join its AI team. This role works across applied machine learning, infrastructure, and product innovation, contributing to intelligent search systems, scalable data pipelines, and AI-powered creative tools.
You will collaborate with engineers, researchers, designers, and product managers to develop ML-driven features and infrastructure that improve user productivity and create new product experiences. This is a full-time position that can be based at one of Figma’s US hubs or performed remotely within the United States.
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