AI/ML Engineer (US)

AI/ML Engineer

Experience: 2–7 Years

Locations: San Francisco, CA | New York, NY | Seattle, WA | Boston, MA | Austin, TX

Salary: $120,000–$200,000+ annually

Job Type: Full-Time

About The Company We are a technology-focused organization building innovative AI and machine learning solutions that help businesses automate processes, improve decision-making, and create better customer experiences. Our engineering teams work on scalable, production-ready AI applications using modern machine learning technologies.

About The Role We are looking for an AI/ML Engineer to design, develop, train, and deploy machine learning models and intelligent applications. The ideal candidate has strong Python development skills, hands-on experience with machine learning frameworks, and the ability to take models from experimentation through production.

Key Responsibilities

• Design, develop, train, and optimize machine learning and deep learning models.
• Build and maintain scalable ML pipelines for data preparation, training, evaluation, and deployment.
• Develop production-ready AI applications using Python.
• Work extensively with PyTorch and TensorFlow to develop and optimize models.
• Analyze large datasets and perform feature engineering and data preprocessing.
• Evaluate model performance and implement techniques to improve accuracy, scalability, and reliability.
• Deploy and monitor machine learning models in production environments.
• Collaborate with software engineers, data scientists, product managers, and other stakeholders.
• Research emerging AI/ML technologies and identify opportunities to integrate them into products.
• Maintain high-quality documentation, testing, and engineering standards.

Required Qualifications

• 2–7 years of professional experience in AI/ML, machine learning engineering, or a related field.
• Strong programming experience with Python.
• Hands-on experience with PyTorch and/or TensorFlow.
• Strong understanding of machine learning and deep learning concepts.
• Experience building, evaluating, and deploying ML models.
• Knowledge of data preprocessing, feature engineering, model validation, and performance optimization.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with Generative AI, LLMs, NLP, or Computer Vision.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with Docker, Kubernetes, CI/CD, or MLOps practices.
• Experience developing REST APIs or integrating ML models into production applications.
• Knowledge of SQL and modern data-processing technologies.

What We Offer

• Competitive compensation of $120K–$200K+, based on experience and qualifications.
• Medical, dental, and vision insurance.
• 401(k) and retirement benefits.
• Paid time off and company holidays.
• Professional development and learning opportunities.
• Flexible or hybrid work arrangements, depending on location.
• Opportunity to work on innovative AI and machine learning products.

Equal Opportunity

We are committed to providing an inclusive workplace and consider qualified candidates without regard to legally protected characteristics.

Apply Now: Join our engineering team and help build the next generation of AI-powered products.

Skills: python,pytorch,ml,tensorflow