Full Time

ML Engineer - AI Platform

Figma
$90,000 - $150,000* / year (about $43–$72 an hour)

Job Description

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

Written by AI from the job title and company, not by Figma, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Machine Learning Engineer for the AI Platform at Figma will play a crucial role in building and deploying robust machine learning models that enhance user experiences and optimize design workflows. This position requires collaboration with cross-functional teams to identify opportunities for AI integration, develop algorithms, and implement scalable solutions that align with Figma's innovative goals while maintaining a focus on performance, accuracy, and user-centric design.



Job Responsibilities

  • Design, develop, and implement machine learning models and algorithms that support Figma's AI initiatives.
  • Collaborate with data scientists and product teams to integrate AI features into Figma’s platform.
  • Analyze large datasets to extract insights and optimize machine learning solutions.
  • Conduct experiments to validate model performance and ensure reliability through comprehensive testing.
  • Pipeline creation for data processing, model training, and deployment to production environments.
  • Monitor and maintain deployed models to ensure continued effectiveness and performance enhancements.
  • Document processes, algorithms, and results to ensure transparency and reproducibility.
  • Stay abreast of advancements in machine learning, making recommendations for improvements and innovations.


Qualifications

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 3+ years of experience in machine learning with a proven track record of deploying models in production.
  • Strong proficiency in programming languages such as Python and libraries like TensorFlow, PyTorch, or Scikit-learn.
  • Experience with data processing frameworks such as Apache Spark, Hadoop, or similar technologies.
  • Solid understanding of statistical analysis and common machine learning algorithms.
  • Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
  • Excellent problem-solving skills with the ability to work in a collaborative, fast-paced environment.


Technologies & Tools

The Machine Learning Engineer at Figma will utilize a variety of technologies and tools to execute their responsibilities effectively. Key technologies include Python, TensorFlow, PyTorch, Scikit-learn for machine learning, as well as data processing and cloud platforms such as AWS or Google Cloud. Familiarity with SQL for data manipulation and analysis, version control systems like Git, and CI/CD tools for streamlined model deployments will also be essential.



Ideal Candidates

Ideal candidates for the Machine Learning Engineer position at Figma will possess a deep passion for AI and its potential to transform design workflows. They should exhibit strong analytical thinking with a hands-on approach to problem-solving, demonstrating both creativity and pragmatism. Successful candidates will be adept at collaborating with diverse teams, communicating complex technical concepts clearly, and adapting to the continually evolving landscape of technology. A proactive mindset that embraces challenges and seeks innovative solutions will be key in thriving within this role.

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