Senior Machine Learning Engineer

What you will do Design and ship production ML systems across Chakra, integrity, and evaluation domains. Own the full ML lifecycle: problem framing, data strategy, experimentation, deployment, and iteration. Build evaluation infrastructure and benchmarking pipelines that reliably measure model quality before and after deployment. Define the architecture and production bar for different signal categories from scratch. Mentor and support junior ML engineers, helping shape their technical thinking and raise the quality bar across the team. Establish ML best practices for the team: monitoring, model feedback loops, and quality standards. Who you are 4+ years building and shipping ML systems that run in production at scale. Systems thinking comes naturally. Model accuracy, data pipelines, serving infrastructure, and customer outcomes are one problem, not four. Evaluation methodology matters as much as model performance. A metric measured wrong is worse than no metric. Proficient in Python, with practical experience building data pipelines and deploying models to production. Even better if you have Experience with multimodal systems: vision, NLP, audio, or behavioral signal pipelines. LLM experience: fine-tuning, RLHF, or multi-turn agentic systems. Background in adversarial ML, fraud detection, or anomaly detection. Publications or open-source contributions in detection, robustness, or evaluation methodology. You will thrive here if Messy, undefined problems are more interesting to you than optimizing within clean ones. Ambiguity energizes you, especially when the right framing is itself part of the work. Direct access to leadership, fast feedback loops, and genuinely unsolved problems is what you are looking for. Defining what a system should be is more compelling than maintaining what already exists. Want to learn more about HackerRank? Check out HackerRank.com to explore our products, solutions and resources, and dive into our story and mission here . HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. Linkedin | X | Blog | Instagram | Life@HackerRank Notice to prospective HackerRank job applicants: Our Recruiters use @hackerrank.com email addresses. We never ask for payment or credit check information to apply, interview, or work here.