Machine Learning Engineer

Weekday (YC W21); New York (NY); On-site; USD 150,000 - 250,000; Full time

Benefits offered by this job

Equity/bonus

Health benefits

Paid time off

Professional development

NYC work environment

Job summary

Weekday is seeking a talented Machine Learning Engineer in New York City. You will develop, deploy, and optimize ML models powering intelligent products and business solutions, collaborating with software engineers, data scientists, and product managers to build scalable systems.

This role requires 3+ years in ML engineering, strong Python and ML framework skills, and production deployment experience. Base salary ranges from $150,000 to $250,000 with competitive benefits.

Qualifications

• Bachelor's degree in CS, ML, data science, or related field.
• 3+ years of professional ML engineering experience.
• Strong Python and ML frameworks proficiency.
• Experience deploying ML models in production.
• Data preprocessing, feature engineering, model evaluation.
• Familiarity with cloud platforms (AWS, GCP, Azure).
• Experience with version control, CI/CD, and MLOps.
• Strong problem-solving and collaboration skills.

Responsibilities

• Develop, deploy, and optimize ML models powering intelligent products and business solutions.
• Collaborate with software engineers, data scientists, and product managers to build scalable ML systems and production-ready AI applications.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

ML deployment

MLOps

CI/CD

Data preprocessing

Feature engineering

Model evaluation

AWS

GCP

Azure

Version control

Education

Bachelor's degree in CS or related field

Tools

Kubernetes

Docker

Spark

SQL

NoSQL

Job description

This role is for one of our clients

Location: New York City, NY

Salary Range: $150,000 – $250,000 (Base)

About the Role

We are seeking a talented and motivated Machine Learning Engineer to join our growing engineering team in New York City. In this role, you will develop, deploy, and optimize machine learning models that power intelligent products and business solutions. You will collaborate closely with software engineers, data scientists, and product managers to build scalable ML systems and production-ready AI applications.

This position is ideal for engineers who enjoy solving complex data challenges, deploying ML models at scale, and working on cutting-edge AI technologies.

Requirements

Required Qualifications

• Bachelor's degree in Computer Science, Machine Learning, Data Science, Engineering, or a related technical field (or equivalent experience)
• 3+ years of professional experience in Machine Learning Engineering or AI development
• Strong proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Experience building, deploying, and maintaining ML models in production
• Experience with data preprocessing, feature engineering, and model evaluation
• Familiarity with cloud platforms such as AWS, GCP, or Azure
• Experience with version control, CI/CD pipelines, and MLOps practices
• Strong problem-solving, analytical, and debugging skills
• Ability to work effectively in a collaborative, cross-functional environment

Preferred Qualifications

• Experience with NLP, Computer Vision, LLMs, or Generative AI
• Experience with Kubernetes, Docker, and ML deployment pipelines
• Knowledge of distributed data processing frameworks such as Spark
• Familiarity with SQL and NoSQL databases
• Experience with model monitoring and performance optimization

Benefits

Compensation & Benefits

• Base Salary: $150,000 – $250,000 (depending on experience and qualifications)
• Competitive equity or bonus opportunities
• Comprehensive health, dental, and vision benefits
• Generous paid time off and holidays
• Professional development and learning opportunities
• Collaborative and innovative work environment in New York City