Senior Machine Learning Engineer ML Lifecycle and Deployment

Relha LLC; Palo Alto, Northern (CA, KY); Hybrid; USD 118,000 - 176,000; Full time

Benefits offered by this job

Parental leave

Comprehensive medical coverage

Mental health support

Job summary

Snap Inc. is seeking a Machine Learning Engineer to build and deploy ML models for core Snapchat features. You will apply well-established ML techniques to real-world problems and contribute to data analysis, model training, evaluation, and production deployment.

You will collaborate with cross-functional teams to implement ML-driven features, ensuring code correctness, security, and scalable service design. A strong emphasis on evolving AI systems and modern development practices is required.

Qualifications

• Bachelor's degree in a relevant technical field such as computer science or equivalent years of practical work experience.
• 1+ years of post-Bachelor's machine learning experience; or Master's degree in a relevant technical field.
• Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning.
• Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks.

Responsibilities

• Build and deploy machine learning models for core Snapchat products.
• Apply established ML techniques to solve real-world problems.
• Contribute to the ML lifecycle: data analysis, model training, evaluation, and deployment.
• Collaborate with cross-functional partners to implement and launch ML-driven features.
• Design and ship scalable services with rigorous code quality, security, and production readiness.

Skills

ML fundamentals

Independent work

Collaboration

Problem solving

Mentorship

Education

Bachelor's degree in CS or equivalent

Master's degree preferred

Advanced degree in CS

Tools

TensorFlow

Caffe2

PyTorch

Spark ML

scikit-learn

Job description

Snap Inc. is seeking a Machine Learning Engineer to build and deploy ML models for core Snapchat features. You will apply well-established ML techniques to real-world problems and contribute to data analysis, model training, evaluation, and production deployment.

You will collaborate with cross-functional teams to implement ML-driven features, ensuring code correctness, security, and scalable service design. A strong emphasis on evolving AI systems and modern development practices is required.