Staff Machine Learning Platform Engineer
Staff Machine Learning Platform Engineer
Posted on :
05-04-2025
Employer Active
1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
05-04-2025
Job Description
Hinge is the dating app designed to be deleted
In todays digital world finding genuine relationships is tougher than ever. At Hinge were on a mission to inspire intimate connection to create a less lonely world. Were 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 weve become the most trusted way to find a relationship for all.
About the Role
Hinge is hiring an experienced Staff ML Platform Engineer to drive the design development and evolution of our Feature Store platform. You will own our streaming offline and online feature store capabilities enabling Machine Learning Engineers (MLEs) to efficiently perform data exploration and feature engineering operations and utilize features for model training and model inference (batch near realtime and online). You will collaborate closely with ML engineers data scientists data engineers partner platform teams and project managers to ensure that our Feature Store scales to meet the growing data demands of our ML teams provides intuitive workflows for feature management and satisfies requirements for data privacy and legal frameworks at Hinge.
This role requires awareness and empathy for the applied AI/ML problem space. You will ensure that the Feature Store platform is truly selfservice and serves the evolving needs of all ML stakeholders without incurring a linear operations burden. You will also be deeply integrated with the rest of the AI platform and understand data access patterns across the entire ML lifecycle. Your success will depend on maintaining a cohesive endtoend view of how data is used in early model experimentation training evaluation and inference in production. Being part of a small yet highly 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 technical leader by mentoring others on the team and across the company. This is an exciting opportunity to own and help define the future of machine learning within a rapidly growing team!
Responsibilities
- Define the longterm holistic roadmap for the Feature Store platform aligning it with companywide ML initiatives and ensuring endtoend integration with model training serving and observability platforms.
- Evaluate and introduce new technologies tools and best practices that enhance feature serving reliability scalability cost efficiency and throughput including leading build vs buy discussions.
- Architect build and maintain frameworks enabling MLEs for self service data ingestion and serving pipelines for both offline (batch async) and online (lowlatency) feature stores.
- Partner with crossfunctional Platform teams to represent feature engineering requirements and incorporate them into Hinges wider Platform capabilities.
- Collaborate closely with ML Engineers Data Scientists and Product Managers to understand the ML development lifecycle 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 methods tools and technologies for Feature Engineering.
- Help design and architect an AI platform that adheres to the principles of responsible AI and simplifies privacy compliance.
What Were Looking For
- 5 years of experience depending on education as an ML Platform Engineer Data Engineer or Platform Engineer developing and working with large scale complex data processing and or warehousing systems.
- 4 years of experience working on a cloud environment such as GCP AWS Azure and with devops tooling such as Kubernetes
- 3 years of experience leading projects with at least 2 other team members through completion.
- 2 years of experience for Staff designing and developing online and production grade ML Feature Store 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 particularly data intensive systems.
- Data engineering expertise: Skills in handling and managing large streaming data processing systems and formats (parquet json protobuf delta) including data cleaning preprocessing and storage systems.
- Feature Store Platform technology skills: The ability to establish and use Feature Store platforms such as Databricks Feast Tecton Hopsworks Ray and/or similar.
- Cloud platform proficiency: The ability to utilize cloud environments such as GCP AWS or Azure.
- ML knowledge: Broad awareness of the entire ML lifecycle including the data needs for training serving and evaluation.
- Communication skills: The ability to communicate complex ideas clearly with individuals from diverse technical and nontechnical backgrounds through documentation RFCs and presentations.
- Software leadership skills: A track record of leading projects with multiple contributors and stakeholders through completion with quantifiable and measurable outcomes.
- Strategic leadership skills: Demonstrated technical leadership experience in aligning platform strategy with product and business objectives.
Even Better With...
- Streaming Data skills: The ability to establish and utilize Streaming data processing frameworks like Kafka Kafka Streams Flink Spark Streaming Kinesis etc.
- Data warehousing skills: The ability to establish and use Data warehousing platforms (BigQuery Databricks Snowflake Redshift).
- Devops skills:The ability to establish manage and use data and compute infrastructure such as Argo Airflow Docker Github Actions Kubernetes and Terraform.
- Strong collaboration skills: A track record of creating and sustaining a healthy team culture of mentorship psychological safety accountability. Skills to level up and act as a forcemultiplier for others.
- Vendor Management: Experience working with vendors identifying vendor risks and advocating for team/stakeholder priorities to get onto their roadmaps.
$244000 $293000 a year
Factors such as scope and responsibilities of the position candidates work experience education/training jobrelated 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 youll enjoy:
401(k) Matching: We match 100 of the first 10 of pretax 401(k) contributions you make up to a maximum of $10000 per year.
Professional Growth: Get a $3000 annual Learning & Development stipend once youve 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 youre eligible for 100 paid parental leave 20 paid weeks for both birth and nonbirth parents.
Fertility Support: Youll get easy access to fertility care through Carrot from basic treatments to fertility preservation. We also provide $10000 toward 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 Vibras Women/Nonbinary Parents and Remotethat 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 equalopportunity 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 preemployment testing or a job interview or to otherwise participate in the hiring process please let your Talent Acquisition partner know.
#Hinge
Required Experience:
Staff IC
Employment Type
Full-Time
Key Skills
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