Hinge · 1 day ago
Staff Machine Learning Engineer, Dating Outcomes
New York, NY
Full-time
Hybrid
Lead/Staff
$249K/yr - $324K/yr
8+ years expHinge is a dating app designed to foster genuine relationships, and they are seeking a Staff Machine Learning Engineer to enhance their AI-driven dating experience. The role involves building recommendation systems and deploying predictive models that impact user experiences, while also mentoring other engineers and shaping the machine learning strategy at Hinge.
DatingInternetMobile Apps
Responsibilities
Design and own foundational research and models that power our recommendations ecosystem
Identify the next step change in our technical capabilities, conduct state-of-the-art applied research, and move them into production using best practices in machine learning engineering
Design and implement solutions that prioritize availability, scalability, operational excellence, and cost management, while delivering incremental impact to our daters
Collaborate closely with Directors and VP+ to understand and shape Hinge’s strategic direction, as well as work with other Machine Learning Engineers, Product Managers, Data Engineers, and Scientists to make that a reality
Coach, 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++ and a deep understanding of low-level deep learning computation fundamentals
System design & architecture: Proven track record of research, training, and deployment of DNNs at scale. Deep 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. Familiarity with ML serving solutions like Ray, Databricks, KubeFlow, or W&B is a plus
ML knowledge: Deep understanding of various DNN architectures, track record of building, debugging, and fine-tuning models
DevOps skills: Track record of deploying, managing, and orchestrating offline and online deep learning models at scale
Data engineering knowledge: Skills in handling and managing large datasets, including data cleaning, preprocessing, and storage. Deep 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. Proven ability to influence company strategy and direction is a plus
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
8+ years of experience, depending on education, as an MLE
4+ years of experience working in a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes
4+ years of experience in designing and developing online and production grade ML systems
3+ years of experience leading projects with at least 2 other team members through completion
A degree in computer science, engineering, or a related field
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