Machine Learning Engineer, AI
About the Job
Build the intelligence layer that powers smarter customer outreach—who to contact, with what message, and when.
You’ll design and productionize models that drive measurable revenue impact across marketing and growth use cases. Remote (North America).
What’s in it for you?
- $200,000 – $260,000 base salary
- Visa sponsorship available
- Multiple openings (4+ hires)
What You’ll Be Doing:
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Design and ship personalization and recommendation models that select the right content or products for each user.
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Build predictive audiences to surface users likely to convert, churn, or take key actions.
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Automate experimentation at scale—bandits, multi-armed tests, and policy learning to choose the best variant.
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Develop budget optimization algorithms that attribute lift and lower marginal CAC across channels.
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Leverage LLMs for high-quality content and creative generation within clear guardrails.
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Own end-to-end ML systems: data pipelines, feature stores, training, evaluation, and low-latency inference.
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Collaborate with product and GTM teams to translate business goals into deployable models with clear KPIs.
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Continuously improve models in production with monitoring, retraining, and rigorous post-experiment analysis.
What You’ll Need:
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Bachelor’s degree in Computer Science (or related field).
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5+ years of experience as a Machine Learning or Software Engineer, delivering models to production.
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Startup experience with the ability to drive initiatives independently.
- Strong software fundamentals (data structures, distributed systems concepts) and proficiency in Python and SQL.
- Hands-on experience with recommendation/personalization, experiment design/analysis, predictive modeling, and modern ML tooling for training and serving.
Ready to Make an Impact?
Make your mark building the AI decisioning layer that powers personalized growth at scale.
👉 Please click “Apply for this Job” or email Jenn at Recruiter@CareDynamicsFL.com