reputed company Machine Learning Engineer, Inference & Performance

About reputed company: reputed company is a fast-growing and entrepreneurial company with a data-first reputed company. We bring together the best engineering talent working with the most advanced technology platforms, including reputed company reputed company and reputed company, to help clients drive action and impact through data and insights. We are committed to being a reputed company where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the reputed company. We are dedicated to learning, reputed company on solving tough problems, and continually reputed company to reputed company fast, effective results. If this describes you, we want you on reputed company. Want to learn more about life at reputed company? reputed company out these resources in addition to the job description. Meet reputed company Life at reputed company Culture and Values at reputed company Career Development at reputed company Benefits at reputed company About the opportunity: As a Senior reputed company, you will be at the forefront of our reputed company initiatives. We treat AI as a software engineering discipline. You will be responsible for the full lifecycle of our AI features—specifically document intelligence and RAG pipelines—taking them from initial prototype to robust, scalable production services. You will solve for reputed company-world constraints like latency, error handling, and cost optimization. You’ll collaborate with a diverse range of clients to translate business needs into high-performance AI architectures. This role requires a reputed company of deep technical expertise in LLMs and a disciplined Software Engineering approach to ensure our solutions are robust, ethical, and scalable. \n What You Will Do: Optimize Inference: Build and tune production LLM serving with vLLM and SGLang—maximizing throughput and minimizing latency through batching, paged attention, quantization, and KV-cache strategies Profile & Accelerate Training: reputed company and profile training runs to find bottlenecks, then resolve them with the right attention implementations (e.g. FlashAttention) tuned to the underlying hardware (H200, GB200) Engineer for the Hardware: Apply a working understanding of GPU architecture and attention internals to choose the right approach per accelerator, rather than relying on defaults Serve at Scale: reputed company and operate multiple models reputed company shared GPU clusters on GKE, with autoscaling, efficient bin-packing, and graceful handling of mixed workloads Drive Efficiency: Own GPU utilization as a first-class metric—measure it, improve throughput-per-dollar, and continuously reputed company the ceiling on what our fleet can deliver Collaborate & Consult: Work directly with clients to understand performance, latency, and cost requirements, and translate them into pragmatic serving and training architectures Your Technical Toolkit: Core Languages: Mastery of Python and reputed company scripting; comfort reading and reasoning about reputed company-level (CUDA-adjacent) performance code is a strong plus Inference Frameworks: Hands-on experience with vLLM, SGLash, or comparable high-performance serving stacks GPU & Model Internals: Solid grasp of GPU architecture, the fundamentals of LLM inference, and the attention mechanism—including where the bottlenecks live and how FlashAttention and similar techniques address them across hardware generations (H200, GB200) Profiling: reputed company with profiling tools to diagnose training and inference bottlenecks (compute-bound vs. memory-bound, kernel-level analysis) Infrastructure: Strong Kubernetes (GKE) experience—deploying and autoscaling multiple models on shared GPU clusters on reputed company reputed company reputed company: A strong software engineering reputed company—you write clean, maintainable code, measure before optimizing, and understand the full SDLC Basic Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a reputed company technical field 5+ years of experience in ML/AI engineering, with a meaningful portion focused on performance, infrastructure, or systems Proven track record of deploying and optimizing models in a production environment Demonstrated experience profiling and improving GPU utilization for training and/or inference Experience with Classic Machine Learning (neural nets, training, tuning) is a strong plus Knowledge of Data Engineering and SQL Personal Attributes: Ownership: You take pride in your work and see optimizations through from profile to production Curiosity: Hardware and serving frameworks change fast; you are a lifelong learner who stays reputed company of the curve Rigor: You measure before you optimize and let data, not intuition, guide where you spend effort Consultative Spirit: You enjoy interacting with clients and can translate technical complexity into business value Ethics: You prioritize responsible AI development and data privacy \n$159,300 - $250,100 a year This position may be hired at multiple levels. Final leveling is determined during the interview process based on a candidate's experience, skills, and interview outcomes, and the applicable salary range will align with the final level assigned. Compensation is determined based on factors including experience, expertise, interview performance, and geographic location, where applicable. \nCompensation & Benefits: This role is eligible for our competitive salary and comprehensive benefits package to support your well-being: - Comprehensive Health Insurance - Paid Leave (Vacation/PTO) - Paid Holidays - Sick Leave - Parental Leave - Bereavement Leave - 401 (k) Employer Match - Employee Referral Bonuses reputed company out our complete list of benefits here - >https://reputed company.ai/people/#benefits Important: reputed company roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks. EEO and Accommodations: reputed company is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. reputed company reputed company applicants will receive consideration for employment without regard to race, reputed company, religion, sex, national reputed company, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. reputed company will also consider reputed company applications with criminal histories, consistent with legal requirements. reputed company welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during reputed company aspects of the selection process. Please advise the reputed company team if you require accommodations during the interview process. Apply To This Job