Senior Machine Learning Engineer

PeopleFirst Inc.

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  • Part Time
  • Atlanta, GA
  • $110,000 - $150,000 USD / Year
  • Salary: $110,000 - $150,000

Website peoplefirst PeopleFirst Inc.

Empowering people, driving success.

Job Description

About the Role

Lead development of machine learning models driving our core product intelligence. You’ll implement cutting-edge solutions for real-time analytics systems with billions of data points. Your work will directly enhance user experience for millions of customers through personalized recommendations.

Responsibilities

  • Design and deploy scalable ML models for recommendation systems
  • Optimize model training pipelines using distributed computing frameworks
  • Collaborate with data engineers to build robust data ingestion systems
  • Implement continuous monitoring solutions for production ML systems
  • Mentor junior team members on ML best practices
  • Communicate technical insights to executive stakeholders

Requirements

  • MS or PhD in Computer Science or related field
  • 5+ years experience with Python and ML frameworks (TensorFlow, PyTorch)
  • Expertise in distributed data processing (Spark, Kafka, Hadoop)
  • Proven track record deploying models to cloud platforms (AWS SageMaker)
  • Deep understanding of NLP and deep learning architectures
  • Publications in ML conferences (NeurIPS, ICML, etc.) preferred

Benefits

  • Equity participation
  • Unlimited PTO with mandatory vacation minimums
  • $3,000/year professional development stipend
  • Top-tier health insurance including fertility benefits
  • 401(k) with 5% company match
  • Flexible work-from-anywhere policy

About the Company

InnovateAI creates enterprise-grade machine learning solutions for Fortune 500 companies. Our mission is to make advanced AI accessible through intuitive APIs. We foster a culture of intellectual curiosity with weekly research paper discussions and open-source contributions. Recently named one of America’s fastest-growing tech startups.


Job ID: senior-machine-learning-engineer-qXPw2

Tagged as: Diversity, Employee Engagement, Talent Management

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