Machine Learning Engineer

WEEKDAY, INC.
New York, United States of America
14 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 250K

Job location

New York, United States of America

Tech stack

.NET
Artificial Intelligence
Amazon Web Services (AWS)
Computer Vision
Azure
C Sharp (Programming Language)
Cloud Computing
Continuous Integration
Data Cleansing
Software Debugging
Distributed Computing Environment
Monitoring of Systems
Python
Machine Learning
Natural Language Processing
NoSQL
Performance Tuning
TensorFlow
SQL Databases
Feature Engineering
PyTorch
Delivery Pipeline
Large Language Models
Spark
Model Validation
Generative AI
Scikit Learn
Kubernetes
Information Technology
Machine Learning Operations
Software Version Control
Docker

Job description

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., Role Overview As a .NET Engineer, you will play a crucial role in shaping the future of AI systems by leveraging your expertise in .NET and C#. Your contributions will directly i…

  • 15 days ago

Requirements

  • 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 & conditions

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

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