Machine Learning Engineer III - Python, SQL

Ursus; Menlo Park (CA); Remote; USD 250,000 +; Full time

Job summary

A leading technology company is seeking a Machine Learning Engineer to build and maintain platforms for legal stakeholders, offering a remote work setup and competitive pay. The role emphasizes deriving insights from data while supporting innovative AI projects in a fast-paced environment with opportunities for career advancement.

Benefits

Comprehensive benefits including Medical, Dental, Vision, and 401K with company matching

Career advancement opportunities

Remote work flexibility

Qualifications

• Minimum 3+ years of experience in Machine Learning and data pipeline design.
• 3-5+ years of experience in Python and SQL.
• Experience in applying Machine Learning algorithms to real-world problems.

Responsibilities

• Build and maintain platforms, troubleshooting issues as they arise.
• Collaborate with teams on ongoing projects and software maintenance.
• Apply expertise in Machine Learning and data analysis.

Skills

Python

SQL

Machine Learning

Data Analysis

Education

Master's or Bachelor's in Computer Science, Math, Physics, Engineering, Statistics

Job description

Employer Industry: Technology

Why consider this job opportunity:
- Salary up to $119/hour
- Opportunity for career advancement and growth within a Fortune 500 company
- 100% remote work flexibility
- Comprehensive benefits including Medical, Dental, Vision, Commuter, and 401K with company matching
- Collaborate with cutting-edge Gen AI platforms serving legal stakeholders

What to Expect (Job Responsibilities):
- Build and maintain platforms, including refactoring software as needed
- Troubleshoot and resolve bugs and issues that arise
- Collaborate with full-time employees to share workload and support ongoing projects
- Ensure seamless operation of platforms to meet the needs of legal stakeholders
- Apply expertise in Machine Learning, AI, statistics, and data analysis to solve critical problems

What is Required (Qualifications):
- Master's/Bachelor's in Computer Science, Math, Physics, Engineering, Statistics, or a related quantitative field
- Minimum 3+ years of experience in the design, deployment, and maintenance of Machine Learning pipelines and systems
- Minimum 3+ years of experience in the design, deployment, and maintenance of large data pipelines
- 3-5+ years of experience in Python and SQL
- Demonstrable experience in applying Machine Learning algorithms to solve real-world problems

How to Stand Out (Preferred Qualifications):
- Independent experience in a fast-paced environment
- Additional relevant certifications in fields related to Machine Learning or Data Science

#MachineLearning #DataScience #RemoteWork #CareerGrowth #TechIndustry