Machine Learning Engineer
Acceler8 Talent · New York, United States
Apply & track with Apply EdgeFounding Machine Learning EngineerIf you're excited by the idea of building AI systems that solve real-world problems, not just training models in isolation—this is a rare opportunity to make your mark.You'll be one of the earliest engineering hires in a well-funded AI startup tackling one of the biggest challenges in the industry: making AI systems safer, more reliable and ready for production. Your work will have a direct impact on both the product and the future direction of the engineering team.What's in it for you?Competitive salary, bonus and meaningful equityFounding-level ownership with real influence over technical decisionsWork directly alongside experienced foundersSolve complex engineering problems at the cutting edge of AIBuild products used by enterprise customers from day oneOpportunity to grow into a technical leadership role as the business scalesWhat you'll be doingBuild and improve production systems powered by large language modelsDesign evaluation frameworks that measure AI quality and performanceDevelop automated testing and validation tools for AI applicationsBuild scalable ML infrastructure and production APIsImprove models through experimentation, evaluation and fine-tuningCreate tooling that helps identify and resolve AI system weaknessesDeliver reliable software across the full machine learning lifecycleWhat you'll bringStrong software engineering experience building production systemsPractical experience working with machine learning and LLMsConfidence training, evaluating or fine-tuning modern language modelsExcellent Python development skillsExperience deploying machine learning solutions into productionA builder's mindset with the ability to take ownership from idea to deliverySound technical judgement and a passion for solving difficult engineering challengesIf you're looking for a role where your decisions will shape both the technology and the company, this is the kind of opportunity that doesn't come along often.