Machine Learning Engineer (Remote - US)

Jobgether
63d$239,900 - $273,800

About The Position

This role offers a unique opportunity to work at the forefront of applied machine learning, designing and implementing scalable ML systems that directly impact real-world applications. You will collaborate closely with engineering and product teams to deliver innovative solutions while mentoring peers and influencing technical strategy. The ideal candidate combines deep technical expertise with strong communication skills to translate complex challenges into actionable plans. This position emphasizes hands-on development, innovation, and the adoption of modern data and ML technologies to drive measurable impact across the organization.

Requirements

  • Bachelor’s degree in Computer Science, Machine Learning, or a related field; Master’s preferred.
  • 7+ years of experience in data engineering and ML, including 5+ years in data architecture.
  • Strong programming skills in Python, Java, Go, and SQL.
  • Experience with distributed data processing frameworks (e.g., Kafka, Airflow, Spark) and cloud services (AWS Glue/Kinesis).
  • Familiarity with Databricks or Snowflake, and at least 1 year deploying machine learning models in production.
  • Excellent communication skills, collaborative mindset, and ability to mentor and guide teams.
  • Ability to balance technical expertise with inclusive leadership, fostering idea sharing and innovation.

Responsibilities

  • Lead the design, development, and deployment of efficient, scalable machine learning systems in production environments.
  • Collaborate with cross-functional teams to address complex technical challenges and deliver impactful solutions.
  • Serve as a trusted advisor for data and ML technologies, shaping use cases, architecture, and implementation strategies.
  • Promote engineering excellence by reusing and sharing solutions across teams where possible.
  • Mentor and develop internal technical talent while actively contributing to team knowledge and growth.
  • Influence stakeholders at all levels through clear communication of technical strategies and benefits.

Benefits

  • Competitive base salary range: $239,900 - $273,800 (remote, location-dependent).
  • Performance-based incentive compensation including cash bonuses and/or long-term incentives.
  • Comprehensive health, dental, vision, and financial benefits supporting total well-being.
  • Opportunities for professional development, continuous learning, and career growth.
  • Remote work flexibility and collaborative, innovative work environment.
  • Mentorship and exposure to cutting-edge ML technologies and data-driven solutions.
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