MACHINE LEARNING ENGINEER
Job Description
Your responsibility will be to develop our pipeline for generic statistics and machine learning models (think: event prediction, anomaly detection, machine population analyses). We offer a configuration-free, AutoML-style approach to our customers, which means there are no customer-specific solutions; expect to think of problems at a higher level of abstraction than you might when developing one-off models or analyses.
What You'll Need
- Strong Python or R programming skills
- Understanding of relational databases
- 3+ years of experience as a data scientist, machine learning engineer, or similar role
- Solid understanding of the fundamentals of statistical modeling
- Software engineering experience preferred
- Strong time series analysis preferred
- Patience
- Creativity, integrity, taste, and a solid work ethic
What You'll Get
- Generous pay
- Cutting edge research opportunities
- Competitive medical benefits
- Flexible schedule
- Regular team lunches
- Latest Macbook Pro, any other productivity-boosting items
- Health Insurance
- Liberal Vacation Policy
APPLICATION FOR MACHINE LEARNING ENGINEER POSITION
First name*
Last name*
Email*
Upload Cover Letter and Resume*
About
TwinThread, Inc. is committed to protecting and respecting your privacy, and we'll only use your personal information to administer your account and to provide the products and services you requested from us. From time to time, we would like to contact you about our products and services, as well as other content that may be of interest to you. If you consent to us contacting you for this purpose, please tick below to say how you would like us to contact you:
- I agree to receive other communications from TwinThread, Inc..
You can unsubscribe from these communications at any time. For more information on how to unsubscribe, our privacy practices, and how we are committed to protecting and respecting your privacy, please review our Privacy Policy.
By clicking submit below, you consent to allow TwinThread, Inc. to store and process the personal information submitted above to provide you the content requested.