Machine Learning Engineer
San FranciscoNot specifiedPosted 7mo ago
About the role
Seeking a Machine Learning Engineer to build, deploy, and optimize AI systems for enterprise workflows, collaborating closely with research, product, and engineering teams.
Responsibilities
- Build, fine-tune, and deploy machine learning models into production environments
- Design scalable pipelines for training, inference, evaluation, and monitoring
- Improve latency, throughput, cost efficiency, and reliability of ML systems
- Work with large-scale datasets and integrate models with internal systems and APIs
- Partner with product and engineering teams to deliver end-to-end AI features
- Implement robust evaluation frameworks, observability, and feedback loops
Qualifications
- Bachelor’s or Master’s in Computer Science, Engineering, or related field; PhD optional
- Strong proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX)
- Experience deploying and maintaining ML systems in production environments
- Familiarity with distributed systems, data pipelines, and cloud infrastructure (e.g., AWS, GCP)
- Experience with model training, fine-tuning, evaluation, and iteration at scale
Skills
Required:Machine Learning ModelsPython ProgrammingML Frameworks (PyTorch, TensorFlow, JAX)
Nice to have:Distributed Systems & Data PipelinesCloud Infrastructure (AWS, GCP)
Last updated Mar 25, 2026. Interested? Apply on the company site.
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