Skip to main
two people in conversation
Engineering
Full-time

Senior ML Platform Engineer

New York, New York
hybrid

Hinge is the dating app designed to be deleted

In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With tens of millions of users across the globe, we’ve become the most trusted way to find a relationship, for all.

About the Role



Joining Hinge’s AI Platform Core team offers a unique opportunity to help define and contribute to a budding ML platform with the goal of accelerating the development, deployment, and operations of AI enabled features on Hinge. If you are excited by the idea of working on challenges ranging from establishing our initial training and serving frameworks, building millisecond real-time predictions at scale, automating the machine learning model lifecycle, implementing model monitoring, and building support for generative AI models, then read on!

With a mission to democratize AI for Hinge, ensuring it remains easily accessible, robust, scalable, cost-efficient, and trusted you'll collaborate across our product and engineering teams, as well as with external stakeholders. You will meet our internal customers where they are and optimize towards their needs by delivering value incrementally and coupled to their problems. Being part of a small yet impactful team means having a broad scope of responsibility, and as ML is still in its early stages at Hinge, this role provides a chance to grow as a leader by mentoring others across the company. This is an exciting opportunity to own and help define the future of machine learning within a rapidly growing team!

Responsibilities

  • Own or contribute to technical designs for the feature platform, training platform, serving platform, and underlying operational infrastructure that provides incremental delivery and impact.
  • Develop, maintain, and enhance reusable frameworks for AI/ML model development and deployment while establishing and driving best practices in machine learning engineering and MLOps.
  • Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering incrementally.
  • Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process.
  • Mentor and educate ML Engineers and Data Scientists on current and up and coming tools and technologies for ML operations through presentations and documentation. 
  • Help design and architect an AI platform that adheres to the principles of responsible AI and simplifies privacy compliance.
  • Lead build vs buy discussions on technologies that would underpin the feature, training, and serving layers.
  • Perform other job-related duties as assigned.

What We're Looking For

  • 3+ years of experience, depending on education, as an ML, backend, data, or platform engineer developing and working with large scale, complex systems.
  • 2+ years of experience working on a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes
  • 1+ year of experience leading projects with at least 1 other team member through completion.
  • 1+ year of experience for Senior designing and developing online and production grade ML systems.
  • A degree in computer science, engineering, or a related field.


  • Strong programming skills: Proficiency in languages like Python, Go, or Java.
  • System design & architecture: Ability to design scalable and efficient ML systems.
  • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. 
  • ML knowledge: A basic understanding of ML algorithms, techniques, and best practices.
  • Data engineering knowledge: Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage
  • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds..
  • Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation
  • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes.

Salary Range

$213,000.00 - $249,000.00 per year salary

Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.

Diversity inspires innovation.

Hinge is an equal opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds.

I feel most connected when...

We're having open and honest conversations about things that are going well and not going well, like celebrating a hard-earned win or sharing our struggles.

A photo of Eyan Yeung,  Senior Data Scientistat Hinge

Eyan Yeung

Senior Data Scientist

Perks & Benefits

Do your best work, live your best life

Employees at Hinge headquarters singing karaoke
Hiring Process

We pride ourselves on our people. Here’s how we find the best.

Apply for this role

A call to get to know each other.

Transparency, candor and humility allow us to focus on delivering outstanding results without getting distracted by ego, gossip or politics.

The skills interview.

Breakthroughs require our willingness to take risks. We strive toward audacious goals, expecting and persevering through setbacks and failures along the way.

The narrative interview.

We remember we’re all human beings first. We keep in mind who we’re serving. We listen humbly and openly. We speak and act with kindness and care. We practice radical inclusion.

The culture interview.

We remember we’re all human beings first. We keep in mind who we’re serving. We listen humbly and openly. We speak and act with kindness and care. We practice radical inclusion.

Making an offer.

We remember we’re all human beings first. We keep in mind who we’re serving. We listen humbly and openly. We speak and act with kindness and care. We practice radical inclusion.

Full-Time & Hybrid Employees

What you’ll love about our New York office.

We believe in the power of in-person connection. For full-time and hybrid employees, Hinge HQ is a place to collaborate and get to know each other.

Catered Lunches

Commuter Benefits

All-Gender Restrooms

Nursing & Wellness Rooms

Get outside and play bocce ball on the terrace in your down time.
Join our Team

Do you think we’d click?

If you’re passionate about inspiring intimate connections, join us.

Apply for this role
Frequently Asked Questions

You’ve got questions, we’ve got answers

Apply for this role
Apply for this role

Share this role