United States onlyThis position is posted by Jobgether on behalf of a partner company. We are currently looking for a ML Engineer in the United States.
This role is designed for a highly experienced machine learning professional who thrives in building large-scale, cutting-edge personalization systems. You will work in a remote-first, high-performance environment, leading the design and deployment of innovative ML solutions that directly impact business outcomes. The position combines hands-on engineering, technical mentorship, and strategic influence, allowing you to shape ML architecture and personalization strategies across teams. You will tackle complex challenges, such as real-time learning, cold-start problems, and exploration/exploitation tradeoffs, using state-of-the-art techniques. Strong leadership, vision, and deep technical expertise in ML domains are essential for success. This role provides the opportunity to represent your work externally and contribute to thought leadership in the ML community.
Accountabilities:
- Establish technical vision for personalization, defining company-wide ML strategy and architecture.
- Design and implement large-scale ML systems, including graph neural networks, causal models, and bandit algorithms.
- Solve complex ML challenges, such as cold-start, real-time learning, and adaptive exploration/exploitation.
- Create and enforce ML architecture patterns, design standards, and reusable infrastructure across teams.
- Lead multi-quarter, cross-functional initiatives that impact core business KPIs.
- Mentor senior ML engineers, fostering skill growth and raising the technical bar.
- Champion privacy-preserving personalization and responsible AI practices.
Requirements
- 10+ years of experience designing, developing, and deploying large-scale machine learning systems with a focus on personalization.
- Deep expertise across multiple ML domains, including deep learning, causal inference, multi-armed bandits, and graph-based models.
- Proven track record of building production ML platforms serving billions of predictions.
- Experience in 0→1 innovation in personalization or recommender systems.
- Strong leadership, mentorship, and technical influence abilities, including guiding cross-functional teams.
- Demonstrated ability to translate complex research into production-ready solutions.
- Optional: patents, publications, or external recognition demonstrating ML expertise.
Benefits
- Competitive base salary: $160,000–$250,000 per year.
- Performance-based incentives and profit-sharing.
- Fully remote work with flexibility to operate from anywhere in the U.S.
- Health insurance, wellness benefits, and other comprehensive perks.
- Opportunities to contribute to open source, publications, and speaking engagements.
- Professional growth and mentorship opportunities with senior engineers and global teams.
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.
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