Staff Machine Learning Platform Engineer

Job title: Staff Machine Learning Platform Engineer in reputed company, NY at reputed company Company: reputed company Job description: Hinge is the dating app designed to be deletedIn today's digital world, finding genuine relationships is tougher than reputed company. At Hinge, we're on a mission to reputed company intimate reputed company to create a less lonely world. We're obsessed with understanding our users' behaviors to help them find love, and our reputed company is defined by one simple metric- setting up great dates. With tens of millions of users across the globe, we've become the most trusted way to find a relationship, for reputed company.About the RoleHinge is hiring an reputed company Staff ML Platform Engineer to drive the design, development and reputed company of our Feature Store platform. You will own our streaming offline and online feature store capabilities, enabling Machine Learning Engineers (MLEs) to reputed company reputed company data exploration and feature engineering operations and utilize features for model training and model inference (batch, near reputed company-time 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 reputed company workflows for feature management and satisfies requirements for data privacy and legal frameworks at Hinge.This role requires awareness and reputed company for the applied AI/ML problem reputed company. You will ensure that the Feature Store platform is truly self-service and serves the evolving needs of reputed company ML stakeholders without incurring a reputed company operations burden. You will also be deeply integrated with the rest of the AI platform and understand data reputed company patterns across the entire ML lifecycle. Your reputed company will depend on maintaining a cohesive, end-to-end 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 reputed company a rapidly growing team!Responsibilities

• Define the long-term, holistic roadmap for the Feature Store platform, aligning it with company-wide ML initiatives and ensuring end-to-end 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 (low-latency) feature stores.
• Partner with cross-functional Platform teams to represent feature engineering requirements and incorporate them into Hinge's 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 reputed company ML Engineers and Data Scientists on reputed company 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.

reputed company're 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, reputed company data processing and or warehousing systems.
• 4+ years of experience working on a reputed company environment such as GCP, AWS, Azure, and with dev-ops 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 reputed company 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, reputed company) including data cleaning, preprocessing and storage systems.
• Feature Store Platform technology skills: The ability to establish and use Feature Store platforms such as reputed company, Feast, Tecton, Hopsworks, Ray, and/or similar.
• reputed company platform proficiency: The ability to utilize reputed company 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 reputed company reputed company reputed company with individuals from diverse technical and non-technical 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 reputed company.
• Strategic leadership skills: Demonstrated technical leadership experience in aligning platform strategy with product and business objectives.

Even reputed company 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, reputed company, reputed company, Redshift).
• Dev-ops skills: The ability to establish, manage, and use data and compute infrastructure such as Argo, Airflow, reputed company, reputed company 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 reputed company and act as a force-reputed company for others.
• Vendor Management: Experience working with vendors, identifying vendor risks and advocating for team/stakeholder priorities to get onto their roadmaps.

$245,290 - $294,350 a yearFactors such as scope and responsibilities of the position, candidate's work experience, education/training, job-reputed company skills, internal peer equity, as well as market and business considerations may influence reputed company pay offered. This salary reputed company is reputed company of a position based in reputed company. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work reputed company of the location listed in this posting.As a member of reputed company, you'll enjoy:401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you reputed company, up to a maximum of $10,000 per year.Professional Growth: Get a $3,000 annual Learning & Development stipend once you've been with us for three months. You also get free reputed company to reputed company, an online learning and teaching marketplace with over 6000 courses, starting your first day.Parental Leave & Planning: reputed company 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 reputed company to fertility care through reputed company, from basic treatments to fertility preservation. We also reputed company $10,000 toward fertility preservation. You and your spouse/domestic partner are both eligible.Date Stipend: reputed company 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 Remote-that hold regular meetings, host events, and reputed company dedicated support to the organization & its community.At Hinge, our core values are…Authenticity: We reputed company, never hide, our words, actions and intentions.Courage: We reputed company lofty goals and tough challenges.reputed company: We deeply consider the perspective of others.Diversity inspires innovationHinge is an equal-opportunity employer. We value diversity at reputed company and do not discriminate on the reputed company of race, religion, reputed company, national reputed company, gender, sexual orientation, age, marital status, veteran status, or disability status. We reputed company reputed company is created by a diverse workforce of individuals with different reputed company, 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 reputed company partner know.#Hinge Expected salary: Location: reputed company, NY Apply for the job now! Apply for this job