Job Url: https://www.remoterocketship.com/company/inkind/jobs/machine-learning-engineer-united-states-remote Job Description: inKind Website LinkedIn All Job Openings inKind is a company that provides a dining rewards and payment platform, offering a seamless experience for users who want to earn rewards at thousands of restaurants. Users can pay their restaurant bills through the inKind app and earn 20% back as dining perks. The platform is available on both iOS and Android, and offers access to exclusive offers and events for its users. inKind aims to enhance the dining experience by integrating payment and rewards into a single app. business financing • small business • small business financing • local business financing • finance 51 - 200 employees Founded 2016 👥 B2C 🛍️ eCommerce 💳 Fintech Machine Learning Engineer July 17 🇺🇸 United States – Remote 💵 $165k - $175k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 Machine Learning Engineer 🦅 H1B Visa Sponsor Docker Kubernetes Microservices Python PyTorch Scikit-Learn Tensorflow Apply Now Receive Emails with Similar Jobs Report problem 📋 Description Model Development: Build and refine machine learning models using Python ML stack—especially scikit-learn, PyTorch, and TensorFlow. • Prompt Engineering & Evaluation: Design and test prompts for code models (e.g., Claude Code, Codex) with rigorous evaluation of outputs. • Experimental Design: Lead A/B testing initiatives with sound statistical methodologies to ensure valid experiment conclusions. • Productionizing ML Solutions: Deploy models as scalable, containerized services (Docker, Kubernetes), following microservices best practices. • Search & Relevance Engineering: Architect search and ranking solutions balancing multiple signal types—text vectors, numeric scoring, and filter criteria. • Insight Communication: Translate technical findings into clear insights and actionable recommendations for both technical and business stakeholders. 🎯 Requirements Strong experience in machine learning engineering or applied ML roles. • Strong proficiency in Python and core ML frameworks: scikit-learn, PyTorch, or TensorFlow. • Hands-on experience with prompt engineering for LLMs or code models (Claude, Codex, GPT family) • Deep understanding of A/B testing methodologies and statistical analysis. • Experience deploying models in production environments using Docker and Kubernetes. • Proven experience designing or optimizing search systems, with an understanding of balancing text-based relevance, numeric factors, and filter mechanics. • Excellent communication skills with the ability to explain complex concepts to non-technical stakeholders. • Excellent communication and collaboration skills • Passion for building impactful products and a desire to make a difference Nice to have: • Familiarity with retrieval-augmented generation (RAG) systems. • Exposure to vector databases or semantic search platforms. • Experience with CI/CD pipelines for ML workflows. 🏖️ Benefits Competitive salary and benefits package • Opportunity to work on meaningful projects that make a real impact • Collaborative and supportive work environment • Chance to learn and grow with a talented team • On-Site, Remote & Hybrid work culture