Hinge · 6 hours ago
Staff Machine Learning Engineer, Growth
United States
Full-time
Remote
Senior Level, Lead/Staff
$250K/yr - $325K/yr
5+ years expHinge is a dating app designed to inspire intimate connections and create a less lonely world. The Staff Machine Learning Engineer will drive the design, development, and deployment of machine learning systems to enhance user experiences and business growth, focusing on user targeting and engagement.
DatingInternetMobile Apps
Responsibilities
Lead the end-to-end development of production-grade ML systems such as user targeting models that will help drive engagement, improve dating outcomes and/or improve user adoption of and engagement with paid features
Define and own the technical roadmap for ML within your product area and align with company-wide priorities
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
Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters incrementally
Keep abreast of and bring to Hinge applicable cutting-edge research, technologies, and best practices in the ML/AI space
Mentor and educate ML Engineers on current and up and coming research, technologies and best practices of doing ML at scale
Ensure the ethical and responsible use of ML/AI and compliance with privacy regulations to protect user data
Communicate effectively to audiences of various technical and non-technical backgrounds
Qualification
Required
Strong programming skills: Proficiency in Python and ML libraries such as PyTorch
Domain expertise: Deep understanding of machine learning, deep learning, and emerging AI technologies. Proven track record of building, debugging, and fine-tuning machine learning for user facing products. Experience with causal inference, uplift modeling, and interventional data collection is a plus
System design & architecture: Strong background in setting up and optimizing ML infrastructure, including containerization (Docker), orchestration (Kubernetes), and CI/CD workflows for ML (e.g., model versioning, automated testing)
Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, KubeFlow, or Weights & Biases is a plus
Data engineering knowledge: Skills in handling and managing large datasets including data cleaning, preprocessing, and storage. Good understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow
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
Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes
5+ years of experience, depending on education, as an MLE, with at least 2 years in a senior or staff-level role
Previous experience in User Growth or Monetization
3+ years of experience designing and developing end-to-end, production grade ML systems
4+ years of experience working in a cloud environment such as GCP, AWS, Azure
3+ years of experience leading projects with at least 1 other team member through completion
A degree in computer science, engineering, or a related field or equivalent experience
Benefits
401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year.
Professional Growth: Get an annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day.
Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.)
Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide a stipend towards fertility preservation. You and your spouse/domestic partner are both eligible.
Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones.
ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Raices, Women/Nonbinary, Parents —that hold regular meetings, host events, and provide dedicated support to the organization & its community.
Company
Hinge
Hinge is a social discovery network helping users meet new people through an application.
201-500 employees
H1B Sponsorship
Hinge has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (12)
2024 (12)
2023 (6)
2022 (2)
2020 (1)
Funding
Current Stage
Growth StageTotal Funding
$20.6MKey Investors
Shasta VenturesGreat Oaks Venture Capital
2018-06-21Acquired
2014-12-11Series A· $12M
2014-07-01Convertible Note· $4.5M
Leadership Team
Joelle Sherman
Chief of Staff to the CEO
Justin McLeod
Founder, CEO
Recent News
Business Insider
2025-12-24
MarketScreener
2025-12-21
2025-12-12
Company data provided by crunchbase