ML Engineer - AI Platform

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.

Position Overview

As a Machine Learning Engineer for the AI Platform at Figma, you will be integral in developing and deploying innovative machine learning models to enhance our platform's capabilities. You will collaborate with cross-functional teams to identify business needs, design scalable solutions, and contribute to the broader AI strategy. Your expertise will enable the seamless integration of AI capabilities into Figma products, ultimately improving user experiences and fostering creativity in design.

Job Responsibilities

• Develop, test, and deploy machine learning models that enhance Figma's AI features.
• Collaborate with product managers and designers to define AI-based product features and requirements.
• Optimize existing algorithms and workflows for better performance and scalability.
• Conduct thorough analysis and validation of data to ensure accuracy and relevance.
• Research and keep abreast of the latest developments in machine learning and AI technologies.
• Implement best practices for model training and evaluation to ensure high-quality outputs.

Qualifications

• Bachelor's degree in Computer Science, Data Science, or a related field; Master’s preferred.
• 3+ years of experience in machine learning or AI-related roles.
• Proficient in programming languages such as Python, Java, or R.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of data structures, algorithms, and software design patterns.
• Ability to work in a collaborative environment and communicate complex ideas clearly.

Technologies & Tools

In this position, you will work with a variety of technologies and tools including cloud platforms such as AWS or Google Cloud, data processing frameworks like Apache Spark, and version control through Git. Additionally, familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes will be beneficial for ensuring efficient model deployment and scalability.

Ideal Candidates

The ideal candidates for this position will possess a strong analytical mindset and a passion for problem-solving. They should demonstrate an eagerness to learn about emerging technologies and possess a collaborative spirit that thrives in a dynamic environment. Additionally, successful candidates will exhibit excellent communication skills, enabling them to articulate complex concepts to both technical and non-technical stakeholders while actively contributing to a culture of creativity and innovation within the organization.