Senior Machine Learning Engineer II - Growth Modeling

Senior Machine Learning Engineer II - Growth Modeling

US

Security & IT – IT /

Full-time /

Remote

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This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Machine Learning Engineer II - Growth Modeling in the United States.

This role offers a unique opportunity to lead machine learning initiatives that directly impact business growth and customer experience. You will work on high-impact problems within a fast-paced, results-driven environment, collaborating closely with cross-functional teams including Product, Marketing, Data Science, and Backend Engineering. The position combines technical leadership with hands-on development, allowing you to define roadmaps, mentor team members, and deliver production-ready ML/AI solutions. Ideal candidates are innovative problem-solvers who can translate complex data into actionable insights while optimizing incentives to drive measurable growth. This is a remote-friendly role, providing flexibility while maintaining strong collaboration and impact across the organization.

• Accountabilities:
• Identify high-leverage opportunities in incentive optimization and define technical roadmaps.
• Develop end-to-end machine learning and AI solutions to deliver measurable business impact.
• Partner with product managers, marketers, data scientists, and engineers to understand business needs and translate them into scalable ML applications.
• Lead and mentor team members, elevating technical standards and improving overall team execution.
• Drive innovation and continuous improvement in ML systems for growth modeling and incentive allocation.
• Ensure solutions are production-ready, reliable, and aligned with business objectives.
• Requirements:
• Proven track record in building production-ready ML/AI systems that deliver measurable business results.
• Strong analytical, modeling, and programming skills.
• Experience defining technical roadmaps and driving major initiatives.
• Excellent communication and collaboration skills, with experience partnering with cross-functional teams.
• Ownership mindset, results-driven, and continuously innovating to deliver impact.
• Preferred: Experience in incentive or pricing optimization, causal modeling, reinforcement learning, and working with LLMs.
• Benefits:
• Highly competitive market-based compensation and potential equity grants.
• Flexible remote work options under a “Flex First” policy.
• Comprehensive benefits including health, dental, and vision coverage.
• Professional growth opportunities in a high-impact, collaborative environment.
• Recognition and rewards for contributions to measurable business outcomes.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.

🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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