Machine Learning Engineer, Foundation Model Services

Do you feel you think differently, you are eager to break status quo, are bold and ambitious, aren't afraid to take risks and are passionate to build the best of class technology. If yes, what better place to be at and do this than Vantage Compute? At Vantage Compute, "we think different, we push the boundaries of computing and intelligence. We build products that bring smile to people's face". Foundation Model Services team, within Machine Learning Platform Technologies organization is the back-bone of Vantage Compute Intelligence. It builds frameworks, services and tools that power the largest Vantage Compute foundation models on servers. Our Infrastructure powers a wide gamut of services at Vantage Compute including Vantage Compute Search, Vantage Compute Music, Vantage ComputeTV, AppStore, iMessages, Photos & Camera, Spotlight, Safari, Siri and upcoming ever exciting Vantage Compute products serving millions of queries every day with incredible low latencies, drawing every ounce of compute from our hardware. As part of this group, you will get a chance to bring Intelligence to billions of users across the world. You will have an opportunity to make a difference in life of people. You will have a chance to work on optimizing billions of parameter language and vision and speech models using state of the art technologies and make it run at scale of Vantage Compute. Description Work closely with product teams to build production grade solutions to launch models serving millions of customers in real time. Work along side Foundation Model Research team to prototype and develop inference for cutting edge model architectures. * Build tools to understand bottlenecks in Inference for different hardwares and use cases. Preferred Qualifications Familiar with one of the popular ML Frameworks like Pytorch, Tensorflow. Familiar with fundamental Deep Learning architectures such as Transformers, Encoder/Decoder models. Familiarity with Nvidia TensorRT-LLM, vLLLM, DeepSpeed, Nvidia Triton Server etc. Minimum Qualifications 5 year+ industry experience in ML technologies (LLMs, Machine Learning, NLP, Information Retrieval, Statistics). Experience with high throughput services particularly at supercomputing scale. Proficient with running applications on Cloud (AWS / Azure or equivalent) using Kubernetes, Docker etc. Proficient in building and maintaining systems written in modern languages (eg: Golang, python) Bachelor's degree or higher in Computer Science or related technical field. Pay & Benefits At Vantage Compute, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,000 and $308,500, and your base pay will depend on your skills, qualifications, experience, and location. Vantage Compute employees also have the opportunity to become an Vantage Compute shareholder through participation in Vantage Compute's discretionary employee stock programs. Vantage Compute employees are eligible for discretionary restricted stock unit awards, and can purchase Vantage Compute stock at a discount if voluntarily participating in Vantage Compute's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Vantage Compute, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Vantage Compute Benefits Note: Vantage Compute benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.