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Staff ML Engineer

This is a hybrid role based in our San Francisco or Palo Alto offices (Palo Alto preferred) and will require you to be in the office on Tuesdays and Thursdays.

What’s So Interesting About This Role?

At Grindr, we’re at the dawn of an AI-driven evolution, and you’ll be a key player helping to shape it. This is your chance to harness cutting-edge machine learning to redefine how millions of people in the LGBTQ+ community around the world connect —whether it’s an entertaining chat, a casual encounter or long-term relationship. We’re doubling down on ML as the future of Grindr, and in these early days, your work will leave a mark on a one-of-a-kind platform at global scale.

  • Early-Stage Impact: It's still early days for ML at Grindr, so you'll be joining a focused team surrounded by high-impact, greenfield work", setting the stage for our long term ML strategy. 

  • Recommendations That Reshape: Build systems that match millions to their next big moment, adapting to a range of intents with impact you can feel.

  • Conversations That Connect: Use LLMs to uncover insights, and help users find their spark with precision and flair.

What’s the Job?

  • Architect scalable recommendation systems to serve millions, balancing performance and innovation.

  • Leverage the latest LLMs to process vast conversation data and enhance user connections.

  • Prototype, iterate, and ship production-ready ML solutions that solve real problems for our user. 

  • Collaborate cross-functionally with engineering, data science and product teams to turn bold ideas into tangible results

  • Drive the exploration of emerging AI tools and techniques to keep Grindr’s tech stack ahead of the curve.

What We’ll Love About You

  • 5+ years of experience building ML systems with a focus on 0-to-1 system development and creating new capabilities from scratch. Experience with recommendation systems or similar is a plus.

  • Proven ability to deliver at scale, with fluency in Python and popular MLframeworks.

  • A scrappy mindset—you tackle messy challenges head-on and get real results.

  • Experience using  data and deployment technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, PySpark)

  • Experience building machine/deep learning models with at least one common framework such as PyTorch, Tensorflow, or Keras.

  • Experience with any public cloud environment - AWS, GCP or Databricks

We’ll Really Swoon If You Have…

  • Expertise in building and maintaining LLM workflows for nuanced, human-driven tasks.

  • A track record of crafting recommendation systems that hit the mark for diverse user needs.

  • Thrives in a fast-paced, outcome-driven environment with lots of cross-functional collaboration.

  • A proven history of taking product ownership and thoughtfully addressing the unique needs of a specific user group, from early-stage concept to full-scale rollout.

What you'll love about us

  • Mission and Impact: Grindr is building the global gayborhood in your pocket. Your role will impact the lives of millions of LGBTQ+ people around the world. Through our success, we are making a world where the lives of our community are free, equal, and just.

  • Family Insurance: Insurance premium coverage for health, dental, and vision for you and partial coverage for your dependents.

  • Retirement Savings: Generous 401K plan with 6% match and immediate vest in the U.S.

  • Compensation: Industry-competitive compensation and eligibility for company bonus and equity programs.

  • Queer-Inclusive Benefits: Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more.

  • Additional Benefits: Flexible vacation policy, monthly stipends for cell phone, internet, wellness, food, and commuting, breakfast/lunch provided onsite, and yearly travel & leisure stipend.

About Grindr

Grindr is building the global gayborhood in your pocket. With more than 13.5 million monthly active users, Grindr has become a fundamental part of the LGBTQ+ community and is charting a path to make the world more free, equal, and just. Since 2015, Grindr for Equality has advanced safety, health, and human rights for millions of Grindr users and the global LGBTQ+ community in partnership with more than 100 community organizations in every region of the world.

Our next evolution is underway as a public company that continues to grow and build meaningful experiences for our users. From social issues to product innovations, we're setting audacious goals for our community and the business, and leveraging the latest tech stacks and a culture of engineering excellence to make it happen. At the heart of our work in this new chapter is a shared set of operating principles centered around cultivating curiosity, thinking big, setting and expediting our ambitious goals, and growing through iteration; all while keeping our users #1.

Grindr is headquartered in West Hollywood, California, with offices in the Bay Area, Chicago, and New York. With a track record of strong financial performance and plans for continued headcount growth, we’re building a team of talented, passionate, and open-minded people who want to disrupt the dating app space, innovate products, and advance LGBTQ+ culture. Come be a part of this exciting journey with us.

Grindr is an equal-opportunity employer

To learn more about how we handle the personal data of applicants, visit our Employee and Candidate Privacy Policy.

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CEO of Grindr
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Average salary estimate

$145000 / YEARLY (est.)
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What You Should Know About Staff ML Engineer, Grindr

Join us as a Staff ML Engineer at Grindr in beautiful Palo Alto, where innovation meets meaningful connection! This hybrid role allows you to be part of an exciting team that's pioneering an AI-driven evolution. Imagine leveraging cutting-edge machine learning to redefine how millions of individuals in the LGBTQ+ community connect, whether it’s for a fun chat or finding a long-term partner. As a key player in this transformative phase, you'll engage in impactful, greenfield projects that lay the groundwork for our long-term ML strategy. Your day-to-day will revolve around architecting scalable recommendation systems that balance performance and creativity, alongside using the latest large language models to analyze vast conversation data. You'll prototype and deliver production-ready ML solutions while collaborating with cross-functional teams to turn bold ideas into reality. With a strong appetite for exploration, your curiosity will drive you to utilize emerging AI tools and techniques, ensuring Grindr stays at the technological forefront. A minimum of 5 years of experience in building ML systems from the ground up, particularly in recommendation systems or similar areas, will be essential. If you have a scrappy mindset, fluency in Python, and are familiar with deployment technologies, we would love to meet you. With your expertise, we’ll continue our mission to create a free, equal, and just world for all LGBTQ+ individuals. Ready to leave your mark? Let's connect and shape the future together!

Frequently Asked Questions (FAQs) for Staff ML Engineer Role at Grindr
What are the main responsibilities of a Staff ML Engineer at Grindr?

As a Staff ML Engineer at Grindr, you will architect scalable recommendation systems, utilize machine learning to process conversation data, and enhance user connections. Your role will also involve prototyping production-ready solutions and collaborating with various teams to innovate and solve real-world issues.

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What qualifications are needed for the Staff ML Engineer position at Grindr?

To be considered for the Staff ML Engineer role at Grindr, you should have at least 5 years of experience in building machine learning systems, particularly focusing on developing new capabilities. Proficiency in Python and familiarity with popular ML frameworks such as TensorFlow or PyTorch is essential.

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What technologies should a Staff ML Engineer at Grindr be familiar with?

A Staff ML Engineer at Grindr should be experienced with data deployment technologies like Snowflake, Airflow, Kubernetes, and Docker. Additionally, knowledge of cloud environments such as AWS or GCP will be advantageous in contributing to Grindr's innovative efforts.

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How does Grindr support work-life balance for their Staff ML Engineers?

Grindr promotes a healthy work-life balance through flexible vacation policies, family insurance benefits, and stipends for wellness, commuting, and meals. As a Staff ML Engineer, you can enjoy a supportive environment that values your personal time.

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What impact will a Staff ML Engineer have at Grindr?

As a Staff ML Engineer at Grindr, your work will significantly impact how users connect within the LGBTQ+ community. By developing recommendation systems and harnessing the power of AI, you will help shape experiences that empower individuals, fostering identities and relationships across the globe.

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Common Interview Questions for Staff ML Engineer
Can you describe your experience in building machine learning systems?

When answering this question, provide specific examples of systems you’ve developed, the challenges faced, and how you overcame them. Highlight your role in the entire process, from conception to execution, and mention any impactful results.

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What considerations do you take into account when architecting a recommendation system?

Discuss factors like user intent, performance benchmarks, and data accuracy. Explain how you balance technical constraints with user experience, emphasizing your understanding of algorithms and data structures relevant to recommendation systems.

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How do you stay updated with the latest in ML technology?

Mention various resources like academic journals, conferences, online courses, and tech blogs. Showcase your passion for learning by discussing any recent technologies or projects you’ve researched or implemented.

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What methods do you use for data preprocessing?

Explain the techniques you typically employ for data cleaning, normalization, and transformation. Providing examples of past experiences will demonstrate your hands-on expertise in preparing data for machine learning tasks.

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Can you explain your experience with large language models?

Detail specific projects or tasks where you utilized LLMs, explaining how you applied them in tasks such as natural language processing or enhancing user interactions. Discuss the challenges faced and the outcomes.

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How do you approach cross-functional collaboration?

Illustrate your experience working with diverse teams by sharing examples of successful projects. Highlight your communication skills and adaptability in addressing the needs of different stakeholders.

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What are some trade-offs you've had to consider in your ML projects?

Discuss instances where you had to choose between model complexity and performance or speed versus accuracy. Share how you analyzed the trade-offs and made informed decisions to achieve optimal results.

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How do you measure the performance of your machine learning models?

Explain the metrics you consider crucial for evaluating models, such as precision, recall, F1 score, and AUC-ROC curves. Discuss how you use these metrics to make data-driven decisions for improvement.

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Can you describe a time when your solution didn’t work as planned?

Share a story of a failed project or model and focus on what you learned from it. Discuss the steps you took to troubleshoot and how that experience contributed to your growth as an ML engineer.

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What motivates you to work in the field of machine learning?

Articulate your passion for technology and innovation. Discuss the potential impact of machine learning on society and tell a personal story that ties into your desire to be at the forefront of this exciting field.

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Connect queer people with one another and the world.

39 jobs
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BENEFITS & PERKS
Dental Insurance
Disability Insurance
Flexible Spending Account (FSA)
Vision Insurance
Family Medical Leave
Paid Holidays
FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
April 11, 2025

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