Job Title: Machine Learning Engineer
Location: Palo Alto, CA
Type : Full Time
We’re looking for a Machine Learning Ops Engineer to design, build, and maintain production-grade ML pipelines that power innovative, data-driven solutions. You’ll collaborate with engineering, research, and product teams to deploy high-performing models at scale, ensuring they deliver measurable business impact.
What You’ll Do
- Develop, automate, and manage ML workflows for large, complex datasets.
- Deploy and monitor models in production, tracking performance and optimizing over time.
- Build infrastructure with AWS SageMaker, CDK, and Kubernetes (EKS/ECS).
- Contribute to end-to-end data product delivery — from requirements to deployment.
- Work with cross-functional teams on compliance, regulatory, and research-driven ML projects.
- Write clear technical documentation for both technical and business audiences.
What We’re Looking For
- 5+ years in commercial deep learning projects and ML infrastructure.
- 3+ years with AWS SageMaker ML pipelines and cloud-based data science applications.
- Proficiency in TypeScript (preferred), JavaScript, or Python.
- Experience with CI/CD, Kubernetes, ArgoCD, and AWS native services (Lambda, Step Functions, Load Balancers).
- Strong understanding of ML workflows, statistics, and software engineering best practices.
- Degree in Computer Science, Machine Learning, Statistics, or related STEM field.
Bonus Points For
- Experience in IoT, smart devices, or health/wellness tech.
- Familiarity with PyTorch, TensorFlow, and compliance standards for regulated industries.
