Overview
Remote
$200,000 - $260,000
Full Time
Skills
Artificial Intelligence
Machine Learning (ML)
Backend Development
Job Details
Our client is expanding its intelligent decisioning capabilities and is seeking a Machine Learning Engineer to help design and build the core AI systems powering the next evolution of its platform. You will join a small, startup-style team focused on building ML-driven personalization, targeting, and optimization capabilities from the ground up. This is a unique opportunity to influence product strategy, own key systems end-to-end, and deliver real-world ML solutions that scale.
Key Responsibilities
- Build ML models and infrastructure from the ground up to drive intelligent, automated decision-making.
- Design and scale real-time prediction systems and backend services.
- Collaborate with product and engineering teams on high-impact use cases:
- Optimizing when to send messages
- Identifying who to message
- Recommending what content to deliver
- Lead and own end-to-end ML projects in a high-ownership environment.
- Shape the future of the platform s AI decisioning layer.
Ideal Candidate Profile
- 4+ years of hands-on experience in machine learning and backend development.
- Strong academic background in Computer Science or Electrical Engineering (top 50 programs preferred).
- Proven track record shipping ML systems at scale, especially in SaaS, personalization, ads, pricing, or search/recommendation engines.
- Strong understanding of distributed systems and real-time ML infrastructure.
- Experience at high-growth startups or in founder/product-driven roles is highly desirable.
- Demonstrated ability to balance technical rigor with business impact.
- Contributions to open-source projects or published research is a plus.
- Deep product intuition and passion for improving user outcomes is a bonus.
Why Join?
- Join a high-growth, innovative company backed by top-tier investors.
- Work on impactful, AI-powered features used by hundreds of data-driven teams.
- Collaborate with an elite engineering team and visionary leadership.
- Own projects that directly shape the future of data activation and automation.
If you're passionate about machine learning and want to build real-time AI systems that make a tangible business impact, this is your opportunity to lead, innovate, and grow.
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