Machine Learning Engineer III (AI)

Location: Hybrid, New York, New York, United States

Base salary: $141,400–$190,700 USD per year

Company

hirify.global provides connected fitness hardware, software, and exclusive workout content to millions of members across multiple countries.

What you will do

• Build and improve AI and machine learning pipelines powering hirify.global recommendations.
• Research, evaluate, implement, and improve recommender-system models and other machine learning techniques.
• Run A/B tests and experiments, analyze results, and collaborate with product analysts.
• Engineer, deploy, and monitor scalable, high-throughput, low-latency microservices for real-time ML inference.
• Develop evaluation pipelines to measure model performance and bias in production.
• Architect and manage ML infrastructure for LLM-based features and real-time personalization while collaborating with platform teams.

Requirements

• Degree in a highly quantitative field such as Computer Science, Machine Learning, Operational Research, Statistics, or Mathematics.
• 3+ years of experience in at least one ML discipline: recommender systems, natural language processing, or computer vision.
• Strong understanding of software engineering fundamentals, including data structures and algorithms.
• Experience writing documented, reproducible code in Python, Java, Kotlin, Go, or C/C++.
• Experience with relational and non-relational databases such as Postgres, MySQL, Cassandra, or DynamoDB.
• Experience explaining technical concepts to business, technical, and non-technical audiences and delivering data-driven presentations.
• Experience designing and deploying scalable, low-latency microservices for ML model serving.
• Hands-on experience with modern MLOps, including automated evaluation pipelines and model monitoring.

Nice to have

• MS or PhD in a highly quantitative field such as Computer Science, Machine Learning, Operational Research, Statistics, or Mathematics.
• Comfort working with near real-time ML applications.
• Proven experience partnering with product managers to launch ML-based product features.

Culture & Benefits

• Medical, dental, and vision insurance.
• Generous paid time off, short- and long-term disability, and mental health services.
• 401(k), tuition reimbursement, student loan paydown plans, and an Employee Stock Purchase Plan.
• Fertility and adoption support, up to 18 weeks of paid parental leave, and child care and family care discounts.
• hirify.global Digital App access, product discounts, commuter benefits, Citi Bike discounts, and pet insurance.
• Work in a collaborative product and platform environment focused on personalized connected-fitness experiences.