[Senior/Staff] Machine Learning Engineer

Haus; United States; On-site; USD 80,000 - 150,000; Full time

Job summary

An innovative company is seeking a talented Machine Learning Engineer to join their dynamic team. This role offers the opportunity to build and maintain cutting-edge ML systems while implementing advanced statistical techniques. You'll be at the forefront of technology, contributing to projects that leverage your expertise in machine learning and statistics. If you're passionate about driving innovation and making a significant impact in the field, this position is perfect for you. Join a forward-thinking team that values diversity and creativity, and help shape the future of machine learning.

Qualifications

• Experience in building and maintaining production ML systems.
• Proficient in implementing statistical techniques and ML models.

Responsibilities

• Develop and maintain machine learning systems in production.
• Implement reusable statistical libraries and techniques.

Skills

Machine Learning

Statistical Techniques

Production ML Systems

Education

Bachelor's Degree in Computer Science

Master's Degree in Machine Learning

Job description

[Senior/Staff] Machine Learning Engineer

Please share your preferred pronouns. (This is completely optional)

Phone

Current company

Links

Other URL

Contribution Details

Describe your specific contribution to a project where you have done at least one or all of the following:

1. Built, operated, and maintained a production ML system
2. Implemented probabilistic techniques into reusable statistical libraries, including bootstrapping, statistical tests, and ML models/regressions.

Explain how your experience above might be especially relevant to this position and to Haus.

Work Authorization

Are you authorized to work lawfully in the United States for Haus? ✱

• Yes
• No

Will you now, or in the future, require Haus to sponsor immigration support in order to employ you (e.g., H-1B, etc.)? ✱

• Yes
• No

Additional Information

U.S. Equal Employment Opportunity (EEO) Information

Our company values diversity. To comply with reporting requirements and to learn how we can increase diversity in our candidate pool, we invite you to voluntarily provide demographic information in a confidential survey at the end of this application. Providing this information is optional. It will not be accessible or used in the hiring process and has no effect on your opportunity for employment.