Machine Learning Engineer (Applied ML)

Jobgether

63d

About The Position

This role offers the opportunity to work at the intersection of applied research and real-world AI products. You will lead the design, development, and deployment of adaptable and efficient machine learning systems that directly impact production environments. Collaborating closely with technical and strategic teams, you will translate complex challenges into actionable solutions while shaping both research directions and product strategies. The ideal candidate thrives in a fast-paced, innovative environment, balancing technical excellence with practical execution to deliver measurable results.

Requirements

• Bachelor’s degree (or higher) in Computer Science, Machine Learning, or a related field.
• 3–4 years of experience in machine learning, applied research, or systems-level AI engineering.
• Strong software engineering skills and proficiency with ML frameworks such as PyTorch, JAX, or TensorFlow.
• Excellent communication skills and ability to align technical solutions with business objectives.
• Ownership mindset, curiosity, and a bias toward action.

Nice To Haves

• Experience with online learning, reinforcement learning, or efficient ML architectures.
• Demonstrated track record of deploying ML systems that solved real business problems.

Responsibilities

• Lead the development and deployment of efficient, adaptive machine learning systems in production environments.
• Collaborate with strategic partners, acting as a trusted technical advisor and translating complex requirements into actionable solutions.
• Own the implementation of data products and ML systems, applying creativity and technical expertise to solve novel challenges.
• Contribute to research and product vision, providing insights that influence roadmap and strategic direction.
• Ensure alignment between technical execution and business goals, optimizing for real-world impact and efficiency.

Benefits

• Competitive salary with meaningful equity participation.
• Opportunity to shape both research and product strategy as part of the founding team.
• Work at the cutting edge of AI efficiency research, collaborating with world-class peers.
• Budget for learning, professional development, and certifications.
• Fully remote role, with flexibility across multiple geographies.

What This Job Offers

• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 11-50 employees