- Raydar
- San Francisco, CA
- Full-Time
- 4 days ago
- $210,000–$325,000 / year
Machine Learning Engineer.
Before you go
Before you leave us, sign up for our email alerts
We don't do job spam, just the best digital jobs delivered straight to your inbox.
Machine Learning Engineer: our view in 3 lines...
- The Role:This role suits an engineer who can take machine-learning ideas into reliable production features for business customers.
- The Person:The person will build and deploy AI services, apply and evaluate models, design training and inference pipelines, improve production system performance, and establish monitoring and feedback loops.
- Requirements:The ideal candidate has a relevant degree, Python proficiency, experience shipping live software, and working knowledge of data movement, service interfaces, and hosted compute in a public cloud.
About the role
About the company
Our client is a fast-growing software company.
The role
Raydar is recruiting for this role on behalf of our client. Build and ship machine learning systems that move from prototype to production, covering model work, data pipelines and the services that run them. The role suits an engineer who can take an idea through to a working, reliable feature with limited direction.
What you'll do
- Build, integrate and deploy AI-powered services into production environments for business customers.
- Fine-tune, evaluate and apply machine learning models to practical problems.
- Design scalable pipelines for model training, inference and data processing.
- Improve the speed, capacity, cost and reliability of production AI systems.
- Work with large datasets and connect systems to internal tools and APIs.
- Work with product, research and design colleagues to deliver features end to end.
- Set up evaluation methods, monitoring and feedback loops for production AI systems.
Requirements
What we're looking for
- A Bachelor's or Master's degree in Computer Science, Engineering or a related field.
- Strong proficiency in Python and common engineering or machine learning frameworks.
- A track record of shipping software that runs live for real users.
- Working knowledge of data movement, service interfaces and hosted compute in a public cloud.
- Past hands-on work applying learned models or analytics-heavy software in practice.
- Two to six years of relevant experience.
- Prior work in a fast-paced startup setting, ideally as an early team member.
Bonus points
- Experience deploying or scaling machine learning systems at meaningful scale.
- Familiarity with large language models, agents or workflow automation.
- Exposure to multi-machine computing or high-volume backend platforms.
- Prior founding experience or end-to-end ownership of a product.
Benefits
Compensation and benefits
- Base salary: USD 210,000 to 325,000 per year
- Health insurance
- Retirement plan
Location and work model
- San Francisco, CA, United States
- On-site
- Full-time