Machine Learning Engineer

Machine Learning Engineer

Experience:

2-8 Years

Location:

San Francisco, CA | Seattle, WA | New York, NY | Boston, MA

Salary: $120,000-$250,000+ per year

Job Type: Full-Time

We are seeking a talented Machine Learning Engineer to design, build, deploy, and optimize machine learning solutions that solve real-world business and technical problems. You'll work across data, model development, software engineering, and MLOps to bring ML models from experimentation into reliable production systems.

• Develop, train, evaluate, and optimize machine learning models.
• Build scalable ML pipelines for data preparation, training, validation, and deployment.
• Productionize ML models and monitor performance, reliability, and model drift.
• Implement MLOps practices for automated model deployment and lifecycle management.
• Collaborate with Data Scientists, Data Engineers, Software Engineers, and Product teams.
• Improve model accuracy, scalability, latency, and overall system performance.
• Design APIs and services for integrating ML models into production applications.
• Implement testing, CI/CD, version control, and automated ML workflows.
• Troubleshoot production ML systems and continuously improve reliability.
• Stay current with emerging machine learning, MLOps, and AI technologies.

• 2-8 years of experience in Machine Learning Engineering, Software Engineering, Data Science, or a related field.
• Strong proficiency in Python and experience with ML libraries such as scikit-learn, PyTorch, or Tensor Flow.
• Solid understanding of machine learning algorithms, statistics, model evaluation, and optimization.
• Hands-on experience building and deploying ML models into production.
• Experience with MLOps, ML pipelines, model monitoring, and CI/CD.
• Strong SQL and data-processing skills.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong software engineering, debugging, and problem-solving skills.

• Experience with Kubernetes, Docker, Airflow, MLflow, Kubeflow, or similar tools.
• Experience with feature stores and model-serving platforms.
• Knowledge of distributed computing and large-scale data processing.
• Experience with Generative AI, LLMs, RAG, NLP, or computer vision.
• Experience optimizing ML systems for production-scale workloads.

• Competitive salary of $120K-$250K+, based on experience, skills, and location.
• Medical, dental, and vision insurance.
• 401(k) and retirement benefits.
• Paid time off and company holidays.
• Flexible and hybrid work options, depending on role.
• Professional development and learning opportunities.
• Opportunity to work on high-impact AI and ML products.
• Collaborative, technology-driven work environment.

Skills:

ml,machine learning,data