Machine Learning Engineer

We are looking for a skilled Machine Learning Engineer to join our new data science team. In this role, you'll design, develop, and deploy machine learning models to solve complex business problems and drive data-driven decision-making across our organization.

Our most important company value is hard work – we are looking for a dedicated and hardworking team member who understands what it takes to make an early-stage startup successful, and that a startup is not a 9-to-5 job. Someone who can work really fast and be flexible. Someone who wants to make a big impact by working on innovative technology.

This position is based out of our office in New York City and is not a hybrid or remote role.

Responsibilities

• Develop and implement machine learning algorithms and statistical models
• Design and build efficient and scalable data pipelines for ML workflows
• Collaborate with data scientists, software engineers, and product managers to integrate ML solutions into production systems
• Optimize existing ML models for performance and scalability
• Conduct exploratory data analysis to identify patterns and insights
• Stay up-to-date with the latest advancements in machine learning and data science
  
  

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Statistics, or a related quantitative field
• 3+ years of experience in machine learning engineering or similar role
• Strong programming skills in Python, with experience in ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
• Proficiency in SQL and experience working with large datasets
• Solid understanding of machine learning algorithms, statistical modeling, and data structures
• Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and their ML services
  
  

Preferred Qualifications

• Experience with big data technologies (e.g., Spark, Hadoop)
• Knowledge of DevOps practices and experience with containerization (e.g., Docker, Kubernetes)
• Familiarity with MLOps tools and practices
• Experience with version control systems (e.g., Git) and CI/CD pipelines
• Understanding of software engineering best practices and design patterns
• Contributions to open-source ML projects or research publications
  
  

Benefits

• Unlimited PTO
• Health Care Benefits (75% covered medical, dental, & vision)
• 401(k)
• Maternity/Paternity/Family Leave
• Commuter Benefit
• Mental Health Benefits
• Discounted Bike Share
  
  

For more on our benefits (for US employees) visit our Benefits Page.

Other Details

Compensation Range: $135,000 - $150,000 base salary based on experience

Ideal Start Date: Targeting an October 1st start date