MLOps Engineer Manager - San Francisco, CA, United States - Grindr

Description

This is a hybrid role based in our Palo Alto or San Francisco office and will require you to be in office Tuesdays and Thursdays.

What's so interesting about this role?

Join the hard-working team at Grindr as a hands-on MLOps platform Manager, where innovation and excellence are at the heart of everything we do. We're on a mission to redefine the way Machine Learning (ML) operates across the dating industry, and we want you to lead the charge

In this pivotal role, you will have the opportunity to build foundational tools and infrastructure used by ML engineers in Grindr, including recommender systems, LLMs, ads, visual search, growth/notifications, trust and safety. We aim to ensure that ML systems are healthy (production-grade quality) and fast (for modelers to iterate upon).

What's the job?

We are looking for a MLOps platform manager to join the Grindr AI team. Ideal candidates need to have expertise in AI infrastructure, coding, Cloud platforms, containers, Kubernetes and GPU-base distributed training.

Vision: Develop and execute a strategic vision for our ML Platform ensuring scalability, reliability, and performance to support our AI team.

Responsibilities:

• Technical acumen: Lead the design, implementation, and operation of a robust and efficient ML platform to enable the training, validation, serving, and monitoring of ML models.
• Support ML team in building large-scale training, model management/deployment tools, and modeling libraries
• Build a Training Compute Platform provisioning GPU and cluster compute, model deployment, and PyTorch ML modeling libraries providing cutting-edge model building blocks
• Work closely with data engineering and backend teams in creating data pipelines for the ML team.
• The team works with Pytorch, Python, MySQL, and full-stack UI development, as well as interacting with PostgreSQL, Kafka, AWS (s3, Sagemaker, etc), SnowFLake, Databricks, Git.
• Design and build core components of the ML lifecycle
• Work with ML team in Grindr to productionize their models, improve their productivity and unblock ML innovations
• Partnership: Collaborate closely with other teams, including ML researchers, software engineers and data engineers to define requirements and align on architectural decisions and to understand and solve development velocity pain point

What we'll love about you

• BS in Computer Science, Software Engineering, or related field
• 5+ years of total experience as a ML platform engineer (Deep Learning models), including 2+ years of technical leadership experience.
• 3+ Experience building ML Infrastructure that enabled large-scale model training and high throughput, low latency serving use cases.
• 2+ years of experience with building production Machine Learning inference, development, productization, quantization, monitoring pipelines.
• 2+ years of experience building GPU cost/performance observability systems and optimizing them for cost and speed.
• Excellent coding skills in Python, Java, bash, SQL, and experience with Git version control
• Experience with training frameworks like PyTorch, leveraging GPUs for distributed model training.
• Experience with Kubernetes container orchestration, microservices and cloud platforms (AWS, GCP or Azure)
• Understanding of Data engineering, AI and machine learning concepts
• Strong knowledge of MLOps practices, CI/CD pipelines, and infrastructure as code
• Experience with ML model quantization and optimization

We'll really swoon if you have

• Masters or PhD degree in Computer Science or related fields
• Previous experience in building infrastructure for AI models such as recommendation engine and NLP/ LLMs is preferred
• Experience with GPU-accelerated inference using TensorRT, Ray Serve, or similar framework
• Experience design and implementation of large scale data processing solutions and libraries for feature backfilling and last mile data processing
• Excellent written and verbal technical communication with an ability to present complex technical information in a clear and concise manner to a variety of audience.
• Previous experience with AWS services & Databricks platform
• Previous experience of deployment of ML models on edge device

What you'll love about us

• Mission and Impact: Grindr is the world-leading LGBTQ social networking service. Your role will impact the lives of millions of LGBTQ people around the world.
• 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 the world's largest dating app for gay, bi, trans, and queer people. With around 13 million monthly active users, Grindr has become a fundamental part of the global LGBTQ community, and we take pride in empowering our users to connect, express themselves, and discover the queer world around them.

Our next evolution is underway as a newly public company looking to expand and continue to build meaningful experiences for our users. From social issues to original content, we're blazing innovative paths with impact for our community, all while leveraging the latest tech stacks and striving for engineering excellence. At the heart of our work in this new chapter is a shared set of core values: openness and exploration, a bias for action, and strong support of the LGBTQ community.

With a track record of strong financial performance and plans for continued headcount growth, we're looking to build a team of talented, passionate, and open-minded people who believe in our mission, align with our values, and are excited to work at the intersection of innovative technology and social impact. 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 .

#LI-Hybrid

Grindr is committed to fair and equitable compensation practices. This base pay range is for the U.S. and is not applicable to locations outside of the U.S. The actual base pay is dependent upon many factors, such as training, transferable skills, work experience, business needs, location, and market demands. The base pay range is subject to change and may be modified in the future. This role will also be eligible for equity, benefits, and a company bonus program.