
Machine Learning Engineer
Shipt
full-time
Posted on:
Location Type: Hybrid
Location: Alabama • California • United States
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Tech Stack
About the role
- Own the entire ML lifecycle: creating POCs, building production-ready systems, deployment, monitoring and maintenance.
- Create scalable, production-ready ML solutions, and optimize the performance and scalability of machine learning models.
- Design and conduct offline experiments to validate the impact of algorithmic changes on key business metrics.
- Engage in continuous learning and development.
Requirements
- 2+ years of experience in applying machine learning in an industrial setting, with a track record of delivering impactful results.
- Expertise in machine learning algorithms and frameworks, with hands-on experience in training, tuning, and deploying models in production environments.
- Excellent software design and development skills in Python.
- Experience in one or more of the following applied fields: LLMs, Transformers, Recommendations, Personalization.
- Great interpersonal skills including strong written and verbal communication skills.
Benefits
- Employees (and eligible family members) are covered by medical, dental, vision and more.
- Employees may enroll in our company’s 401k plan.
- Employees will also be eligible to receive discretionary vacation for exempt team members, paid holidays throughout the calendar year and paid sick leave.
- Other compensation includes eligibility for an annual bonus and the potential for restricted stock units based on role.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningML lifecycleproduction-ready systemsmodel deploymentmodel monitoringmodel maintenancePythontraining modelstuning modelsLLMs
Soft Skills
interpersonal skillswritten communicationverbal communication