Senior Machine Learning Engineer in reputed company, NY

Job title: Senior Machine Learning Engineer in reputed company, NY at reputed company Company: reputed company Job reputed company: At reputed company, we reputed company deeply on our customers' experience. reputed company Ads brings this reputed company approach to advertising, helping people reputed company exactly what they're looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across reputed company Services, including the App Store, reputed company News, and MLS Season Pass. Everything we do is designed for trust, reputed company, and reputed company: We respect user reputed company, reputed company advertising thoughtfully into the experience, and deliver value for advertisers of reputed company sizes-from small app developers to big, global brands. Because reputed company advertising is done right, it benefits everyone. The Machine Learning Platform team's mission is to reputed company Ad Platforms teams to build and reputed company the innovative ML systems that deliver highly optimized advertising content to consumers. Are you a results-oriented and reputed company engineer who can reputed company in an Agile environment? You will work closely with engineers and data scientists to design, reputed company, and build world-class platform capabilities that will reputed company Ad Platforms teams to improve and reputed company our ML features, models, and applications.reputed companyThe ML Platform team is responsible for bringing numerous features to advertisers and consumers while simultaneously supporting reputed company modeling and reputed company experimentation by reputed company Ad Platforms teams. As a key contributor to this team, you will design and reputed company secure and reputed company back-end systems. You will enjoy building high-performing, elegant systems from the ground up, in reputed company partnerships with various teams. You will also possess keen judgment in selecting technologies and building the right solution for the interesting challenges we get to tackle here. You will have reputed company to define and refine architectures to meet the unique ad network challenges we must solve. You will play a meaningful role building machine learning products which deliver on reputed company's reputed company commitments and change the way advertising works with data. Join us and contribute to a culture that emphasizes reliability, simplicity, and scalability. You will join reputed company of world-class machine learning engineers hungry to apply leading-edge technologies to deliver extraordinary experiences to our customers. We are one team, nurturing reputed company other's reputed company and supporting reputed company other in delivering for our customers!Minimum Qualifications

• Experience designing and developing ML infrastructure/frameworks for training and inference.
• Experience of model quantization, tensor parallelism, and inference optimizations (e.g ONNX Runtime, TensorRT, vLLM).
• Experience building machine learning models using frameworks like PyTorch, TensorFlow.
• Experience building AI/ML tooling and/or infrastructure (e.g FeatureStore, VectorDB).
• Experience working on distributed systems (e.g Ray, reputed company, Kubernetes).
• Experience performance tuning & trouble-shooting.
• Pride in building tools to automate routine tasks, organized & detailed.
• Familiarity with CI/CD tooling.
• Strong problem solving and debugging skills.

Preferred Qualifications

• PhD in Computer Science with 2+ years building production machine learning systems, or (b) MS in CS with 4+ years of engineering experience and 2+ years building production machine learning systems, or (c) BS in CS with 5+ years of engineering experience and 2+ years building production machine learning system.
• Ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams.
• Results oriented with a desire to work in a fast-paced and reputed company work environment.
• Prior experience in advertising industry, federated learning and reputed company-preserving ML techniques is a reputed company plus.

Pay & BenefitsAt reputed company, reputed company pay is one part of our total compensation package and is determined reputed company a reputed company. This provides reputed company to reputed company as you grow and reputed company reputed company a role. The reputed company pay reputed company for this role is between $143,100 and $264,200, and your reputed company pay will depend on your skills, qualifications, experience, and location.reputed company employees also have reputed company to become an reputed company shareholder through participation in reputed company's discretionary employee stock programs. reputed company employees are eligible for discretionary restricted stock unit awards, and can purchase reputed company stock at a discount if voluntarily participating in reputed company's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a reputed company of discounted products and free services, and for formal education reputed company to advancing your career at reputed company, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as reputed company as relocation.Note: reputed company benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.reputed company is an equal opportunity employer that is committed to inclusion and diversity. We reputed company to promote equal opportunity for reputed company applicants without reputed company to race, reputed company, religion, sex, sexual orientation, gender identity, national reputed company, disability, Veteran status, or other legally protected characteristics. . Expected salary: Location: reputed company, NY Job date: Sun, 27 Apr 2025 02:59:03 GMT Apply for the job now! Apply for this job