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ML Engineer - AI Platform

Figma is growing our team of passionate people on a mission to make design accessible to all. Born on the Web, Figma helps entire product teams brainstorm, design and build better products — from start to finish. Whether it’s consolidating tools, simplifying workflows, or collaborating across teams and time zones, Figma makes the design process faster, more efficient, and fun while keeping everyone on the same page. From great products to long-lasting companies, we believe that nothing great is made alone—come make with us!

We’re looking for AI engineers who have experience building data pipelines to collect high quality data, and evaluation systems to evaluate AI models. You will be collaborating with AI researchers and product engineers closely to improve Figma’s AI features, build new capabilities and advance the state of the art in AI for creativity
 
What you’ll do at Figma:
  • Build data pipelines to collect high quality training and evaluation data for developing AI models.
  • Build annotation pipelines to collect ground truth using humans and AI models in the loop.
  • Collaborate closely with AI product engineers to define requirements for AI features.
  • Collaborate closely with AI researchers to identify failure cases, improve data sets, evaluation metrics and hill climb quality of AI models.
  • Work closely with AI infra engineers to build the right infrastructure for AI model development and inference.
  • Explore the boundaries of what is possible with the current technology set and experiment with novel ideas.
We'd love to hear from you if you have:
  • Expertise building infrastructure for AI/ML model development in industry.
  • Experience in software development in Python. Experience in languages like C/C++ is nice to have but not required.
  • Expertise working closely with AI researchers on applied AI projects to build high quality models in a fast paced environment.
  • Expertise improving datasets and evaluation metrics for applied ML projects.
  • Experience solving sophisticated problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward
  • Experience communicating and working across functions to drive solutions.

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.

Pay Transparency Disclosure

If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below.  

Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information. 

Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement.  Figma also offers sales incentive pay for most sales roles. Figma’s compensation and benefits are subject to change and may be modified in the future. You may view our Pay Transparency Policy by clicking on the corresponding link.

Annual Base Salary Range (SF/NY Hub):
$149,000$350,000 USD

At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. 

Examples of accommodations include but are not limited to: 

  • Holding interviews in an accessible location
  • Enabling closed captioning on video conferencing
  • Ensuring all written communication be compatible with screen readers
  • Changing the mode or format of interviews 

By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with the applicable candidate section of Figma's Privacy Policy.

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Average salary estimate

$249500 / YEARLY (est.)
min
max
$149000K
$350000K

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What You Should Know About ML Engineer - AI Platform, Figma

At Figma, we're on a mission to make design accessible to everyone, and we're excited to grow our team with passionate individuals like you! As a Machine Learning Engineer on our AI Platform team, you'll play a pivotal role in building data pipelines that ensure we collect high-quality training data for our innovative AI models. Your expertise in software development, particularly with Python, will help you collaborate with AI researchers and product engineers to enhance Figma's AI features and unlock new capabilities. The atmosphere here is dynamic and creative, where you'll explore the cutting edges of technology while ensuring our design tools are efficient and user-friendly. You'll also delve into building annotation pipelines and work alongside AI infrastructure engineers to develop robust systems for AI model development. If you're curious and eager to expand your skills, we want to hear from you, even if your experience doesn't perfectly match every aspect of this description. Figma values growth, collaboration, and the unique perspectives of diverse minds. Join us in transforming the design landscape and making great products together!

Frequently Asked Questions (FAQs) for ML Engineer - AI Platform Role at Figma
What does a Machine Learning Engineer at Figma do?

A Machine Learning Engineer at Figma focuses on building data pipelines for high-quality training and evaluation data, collaborating with researchers and product engineers to improve AI features, and developing infrastructure for AI modeling. The role is essential in enhancing Figma's innovative design tools, making them more effective and user-friendly.

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What skills are required for the Machine Learning Engineer role at Figma?

The ideal candidate for the Machine Learning Engineer role at Figma should have expertise in building AI/ML infrastructure, experience in Python, and the ability to collaborate effectively with AI researchers. Skills in improving datasets and evaluation metrics are also important, along with problem-solving capabilities in a fast-paced environment.

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How can I apply for the Machine Learning Engineer position at Figma?

To apply for the Machine Learning Engineer position at Figma, visit the careers page on their website. You'll need to submit an application that highlights your relevant experience and skills in AI/ML, Python, and collaborative projects. If you're eager to learn, don't hesitate to apply even if you don't match every requirement exactly.

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What is the work environment like for a Machine Learning Engineer at Figma?

Figma offers a dynamic and collaborative work environment where Machine Learning Engineers work closely with AI researchers, product engineers, and infrastructure teams. The culture fosters innovation, creativity, and learning, encouraging employees to grow as they go.

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What types of projects will a Machine Learning Engineer work on at Figma?

As a Machine Learning Engineer at Figma, you'll engage in projects that involve building data pipelines, improving AI evaluation metrics, and collaborating on new AI features that enhance design processes. Your work will directly contribute to making design tools more efficient and effective.

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Does Figma offer remote work options for the Machine Learning Engineer position?

Yes, Figma offers flexible remote work options for the Machine Learning Engineer position. Depending on your location, the compensation may be adapted accordingly, ensuring equitable pay that recognizes the diversity of employees' work situations.

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What is the salary range for a Machine Learning Engineer at Figma?

The salary range for a Machine Learning Engineer at Figma, particularly in their San Francisco or New York hubs, is between $149,000 and $350,000 annually. Factors such as qualifications and prior experience will influence the final compensation package.

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Common Interview Questions for ML Engineer - AI Platform
Can you describe your experience with building data pipelines for AI models?

When answering this question, detail your specific experiences with designing and implementing data pipelines. Mention the technologies you used, any challenges you overcame, and how your work improved the AI model's functionality. Be sure to highlight your collaboration with other teams and ensure your response is structured to showcase your problem-solving skills.

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How do you ensure the quality of data used for training AI models?

Explain your methods for assessing and maintaining data quality, which might include data validation techniques, cleaning processes, and continuous monitoring. Discuss any specific tools or frameworks you've used and how your strategies have led to improved outcomes for the AI models you've worked on.

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Describe a project where you worked closely with AI researchers.

Share a specific example of a project where you collaborated with AI researchers. Highlight the goals, your contributions, and the results achieved. Focus on how you effectively communicated and aligned your technical insights with their research goals to enhance the project's success.

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What techniques do you use to evaluate the performance of AI models?

Outline the evaluation metrics you typically employ, such as accuracy, precision, recall, or F1 score. Discuss how you select the right metrics based on the model’s intended purpose and share insights on how you have iteratively improved model performance using feedback from evaluations.

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Can you provide an example of a complex problem you solved in ML?

Choose a specific, challenging problem related to machine learning that you encountered in a past role. Describe the context, the steps you took to analyze and address the issue, and the impact of your solution on the project or organization as a whole.

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How have you collaborated with product engineers in previous roles?

Discuss any instances where you've worked alongside product engineers to design and implement AI features. Emphasize your communication strategies and how you ensured that technical requirements aligned with product goals. This paints a picture of your teamwork and collaborative skills.

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What programming languages are you most comfortable with, and how have you applied them in your work?

Be specific about your experience with programming languages, especially Python. Share examples of projects where you applied these languages to solve problems or streamline processes, and mention any other languages you've worked with that can add value to the Machine Learning Engineer position.

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How do you stay updated with the latest developments in AI and machine learning?

Describe your commitment to continuous learning through specific resources, like research papers, online courses, or professional communities. Sharing how you apply the latest trends and findings to your work can demonstrate your proactive approach and dedication to remaining at the forefront of AI advancements.

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What role do you think AI will play in the future of design tools like Figma?

Provide your insights on how AI could revolutionize design tools, enhancing creativity, efficiency, and collaboration. Focus on the potential for AI to automate repetitive tasks, offer intelligent suggestions, and empower designers to push boundaries in their work.

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Why do you want to work as a Machine Learning Engineer at Figma?

Convey your passion for design and technology, and how they intertwine at Figma. Highlight your enthusiasm for contributing to meaningful projects and your alignment with Figma's values of collaboration and growth, making sure to reflect on your long-term aspirations and how Figma fits into them.

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Born on the web, Figma is a collaborative online platform designed for teams to create, share, test, and deliver superior designs from start to finish.

52 jobs
MATCH
VIEW MATCH
BADGES
Badge ChangemakerBadge InnovatorBadge Rapid Growth
CULTURE VALUES
Empathetic
Collaboration over Competition
Growth & Learning
Passion for Exploration
Fast-Paced
Startup Mindset
Diversity of Opinions
Rise from Within
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$149,000/yr - $350,000/yr
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
November 28, 2024

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