Senior Machine Learning Platform Engineer

Responsibilities

• Own or contribute to technical designs for the feature platform, training platform, serving platform, AI observability platform and GenAI Platform and underlying operational infrastructure to enable Product impact.
• Develop, maintain, and enhance frameworks for AI/ML model development and deployment while establishing and driving best practices in MLOps / GenAI engineering.
• Design, advocate, and implement for usability, reliability, scalability, operational excellence, and cost management while delivering incrementally.
• Collaborate closely with ML Engineers, Data Scientists, Data Engineers and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process.
• Mentor and educate ML Engineers, Backend Engineers and Product Managers on current and up and coming tools and technologies for ML operations & GenAI product development through presentations and documentation.
• Help design and architect an AI platform that adheres to the principles of responsible AI (Authenticity, Transparency, Equity) and builds privacy compliance into the platform.
• Lead build vs buy discussions on technologies that underpin the Platforms we serve.
• Participate in on-call and Incident Management processes.

What We're Looking For

• 4+ 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.

$204,000 - $262,000 a year
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.
As a member of our team, you'll enjoy:
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+, R aices , Women/Nonbinary, Parents -that hold regular meetings, host events, and provide dedicated support to the organization & its community.
At Hinge, our core values are...
Authenticity: We share, never hide, our words, actions and intentions.
Courage: We embrace lofty goals and tough challenges.
Empathy: We deeply consider the perspective of others.
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.
If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know.
#Hinge
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.