Hinge · 1 day ago
Senior Machine Learning Engineer, Dating Outcomes
New York, NY
Full-time
Onsite
Senior Level, Lead/Staff
$201K/yr - $262K/yr
4+ years expHinge is a dating app designed to inspire intimate connections and create a less lonely world. The Senior Machine Learning Engineer will be responsible for building recommendation systems and deploying predictive models that enhance user experiences and facilitate meaningful connections.
DatingInternetMobile Apps
Responsibilities
Own and contribute to foundational models that power our recommendations ecosystem
Contribute to the research and development of models powering Hinge and experiment with the latest innovations in the field of Machine Learning (e.g., LLM agents, MMoE models, VAEs, etc.)
Design, advocate for, and implement solutions that ensure availability, scalability, operational excellence, and cost management, while delivering incremental impact to our daters
Collaborate closely with other Machine Learning engineers, Product Managers, Data Engineers, and Scientists to understand our users' needs and identify opportunities to make their experience better through machine learning
Mentor and educate Machine Learning Engineers on current and SOA research, technologies, and best practices of practicing machine learning at scale
Qualification
Required
Strong programming skills: Proficiency in languages like Python, Java, or C++
System design & architecture: Proven track record of training and deploying large scale ML models, especially DNNs. Good understanding of distributed computing for learning, data processing, and inference
Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure
ML knowledge: Deep understanding of DNN architectures, track record of building, debugging, and fine-tuning models
DevOps skills: The ability to establish, manage, and use data and compute infrastructure such as Kubernetes and Terraform
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
4+ years of experience, depending on education, as a Machine Learning Engineer
2+ years of experience working in a cloud environment, such as GCP, AWS, or Azure, and with DevOps tooling, including Kubernetes
2+ years of experience designing and developing online and production grade machine learning systems
1+ year of experience leading projects with at least 1 other team member through completion
A degree in computer science, engineering, or a related field
Preferred
Familiarity with ML serving solutions like Ray, Databricks, KubeFlow, or W&B is a plus
Familiarity with PyTorch, TF, knowledge distillation, and recommender systems is a plus
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