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 description: At reputed company, we focus deeply on our customers' experience. reputed company Ads brings this same approach to advertising, helping people find 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 impact: We respect user privacy, integrate 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 scale the innovative ML systems that deliver highly optimized advertising content to consumers. Are you a results-oriented and versatile 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 scale our ML features, models, and applications.DescriptionThe ML Platform team is responsible for bringing numerous features to advertisers and consumers while simultaneously supporting scalable 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 scalable 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 the opportunity 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 privacy 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 a team of world-class machine learning engineers hungry to apply leading-edge technologies to deliver extraordinary experiences to our customers. We are one team, nurturing each other's growth and supporting each 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, Spark, 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.
- 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 collaborative work environment.
- Prior experience in advertising industry, federated learning and privacy-preserving ML techniques is a reputed company plus.