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Machine Learning Engineering, Platform - Equinox Plus

Machine Learning Engineering, Platform - Equinox Plus


Equinox Media was formed with the aim of developing transformative technologies, media, and experiences that inspire and equip consumers to pursue fitness every day, harnessing the power of Equinox Group’s preeminent brands, talent, and geographic footprint. In March 2020, we debuted a first-of-its kind fitness platform powering two products: the Equinox Plus mobile app and the SoulCycle at-home bike. Equinox Plus provides access to expert guidance from industry-leading brands across modalities—wherever you are, whenever you’re ready. The world has yet to see a more powerful fitness collective, and this is just the beginning.

Our team embraces a true entrepreneurial spirit; operating with humility, perseverance and care for one another. We strive to continuously deliver the best results and focus on how every action taken helps push our mission forward of helping our members pursue Fitness everyday.

Job Description

We’re looking for a Machine Learning Engineer (platform) to help us design, build and scale data products to power personalized content discovery and data-driven features for our members. You will be working in a cross-functional team alongside data scientists, analysts, engineers, and product managers to deploy systems that make automated decisions at a massive scale that enable our member base to pursue their fitness journey across multiple platforms (app, web, TV, connected hardware, in-club). Your team has a high degree of autonomy and works on some of the most interesting problems at the intersection of fitness and machine learning. Experience building and scaling ML-based recommendation systems is a major plus.

What you’ll do:

  • Lead the architectural design and deployment of end-to-end pipelines to power ML models, algorithms, A/B testing, and other data products at scale

  • Collaborate with data scientists and data engineers to refine and scale recommendation systems to power personalized content discovery

  • Partner with data scientist and analysts to build tooling and dashboards to monitor model performance

  • Partner with product managers and data scientists to design and develop new data-driven features across multiple platforms

  • Think outside of the current technology/stack limitations to push the boundaries on what is possible and deliver feasible solutions collaboratively

  • Help lead and scale the ML Engineering platform team in a fast paced, high-growth startup


What you’ll need:

  • Expertise in leading serverless and containerized deployments (AWS certification preferred)

  • Excellent proficiency in Python, shell scripting, git, and the ability to perform analysis and write complex transformations in SQL

  • You have a history of building scalable batch and real-time data pipelines, leveraging messaging technologies

  • (e.g., Snowflake, Spark, Presto, Databricks)

  • Experienced with CI/CD and infrastructure as code frameworks (CloudFormation, Terraform, etc)

  • Knowledge of relational databases, big data concepts and distributed computing frameworks 

  • Familiarity with ML model development frameworks, ML orchestration and pipelines with experience in either Airflow, Kubeflow or MLFlow

  • Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn)

  • Familiarity with data science and machine learning techniques (e.g., regression, classification, clustering, time series, etc.)

  • Excellent communication skills with demonstrated experience to  influence technical decisions to line up with the company’s strategy

  • Excellent critical thinking skills to help transform data into products and insights

  • Bonus: Experience building recommendation systems is a major plus

  • Bonus: An interest in the fitness industry and biometric data

Additional Information

At Equinox Media, we believe that a diverse, equitable and inclusive workplace makes us a more resilient company. We celebrate unique points of view and experiences across age, gender identity, race, sexual orientation, physical or mental ability and ethnicity in building the future of our digital business. We aren't just a company; we're a community vested in each other's successes. We value humility and a team approach at every level of the company. We want to inspire a workplace where individuals embrace their differences and similarities, where we are building products and experiences that inspire and improve people's lives.

Check out more about what we're building on Instagram and