Applied Machine Learning Engineer - Remote

Overview

As an Applied Machine Learning Engineer at Anomalo, you will leverage your extensive experience in machine learning to tackle complex data quality challenges and shape the core product features that drive meaningful impact.

In Short

• 5+ years of experience in building and deploying ML models.
• Proficiency in Python, pandas, and SQL.
• Ability to communicate complex ML insights clearly.
• Degree in Mathematics, Statistics, or Computer Science.
• Experience with data quality and anomaly detection.
• Familiarity with Large Language Models.
• Experience in building resilient data pipelines.
• Collaborate with customers to shape feature development.
• Mentor and guide peers in ML practices.
• Work in a fully remote, inclusive culture.

Requirements

• 5+ years of hands-on ML experience.
• Advanced proficiency in Python, pandas, and SQL.
• Strong communication skills for technical and non-technical audiences.
• Degree in a relevant field or equivalent experience.
• Experience with data quality issues and anomaly detection.
• Familiarity with Large Language Models.
• Prior engineering experience across the data stack.
• Ability to work in a fast-paced environment.
• Strong problem-solving skills.
• Experience in mentoring and collaboration.

Benefits

• Fully remote work with a $1,000 stipend for home office setup.
• Quarterly company-wide offsite events.
• 17 company holidays and unlimited vacation time.
• Comprehensive health benefits with 90% premium coverage.
• 16 weeks of paid parental leave.
• Equity package for all employees.
• 401(k) plan and life insurance.
• Supportive and inclusive company culture.
• Opportunities for professional growth and mentorship.
• Work on high-impact projects with leading brands.