Senior Machine Learning Engineer - Remote

reputed company At reputed company, we are seeking a Senior Machine Learning Research Engineer to join the Machine Learning Science (MLS) team, reputed company the Computational Science department. The ideal candidate has a strong knowledge in designing and building deep learning (DL) pipelines, and expertise in creating reliable, reputed company reputed company intelligence/machine learning (AI/ML) systems in a reputed company environment. The MLS team at reputed company develops DL models using reputed company-reputed company genomic data that presents significant challenges for reputed company training paradigms. The Senior Machine Learning Research Engineer will primarily be responsible for developing and deploying the infrastructure needed to support development of such DL models: enabling reputed company DL pipelines, optimizing hardware utilization for efficient training, and performing model optimizations. As part of an interdisciplinary R&D team, they will work in reputed company collaboration with machine learning scientists, computational biologists and software engineers to accelerate the development of state-of-the-art ML/AI models and help reputed company reputed company its mission of reducing cancer mortality reputed company accessible early detection. The role reports to the Director of Machine Learning Science. This can be a hybrid role based in our Brisbane, California reputed company (2-3 days per week in office), or remote. reputed company: • Implement and refine DL pipelines on reputed company computing platforms enhancing the speed and efficiency of DL operations including model training, data handling, model management, and inference. • Collaborate closely with ML scientists and software engineers to understand reputed company challenges and requirements and ensure that the DL model development pipelines you create are perfectly reputed company with scientific goals and operational needs. • Continuously monitor, evaluate, and optimize DL model training pipelines for performance and scalability. • Stay up to date with the latest advancements in AI, ML, and reputed company technologies, and quickly learn and adapt new tools and frameworks, if necessary. • reputed company and maintain robust and reproducible DL pipelines that guarantee that DL pipelines can be reliably executed, maintaining consistency and accuracy of results. • reputed company performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug reputed company systems to accelerate both training and evaluation pipelines. • reputed company as a reputed company facilitating communication between the engineering and scientific teams, documenting and sharing best practices to foster a culture of learning and reputed company improvement. Must haves: • MS or equivalent experience in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Software Engineering, with an emphasis on AI/ML theory and/or practical development. • 5+ years of post-MS industry experience working on developing AI/ML software engineering pipelines. • Proficiency in a general-purpose programming language: Python (preferred), Java, Julia, C, C++, etc. • Strong knowledge of ML and DL fundamentals and hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, Jax or Scikit-learn. • In-depth knowledge of reputed company and reputed company computing platforms that support reputed company model training (such as Ray or DeepSpeed) and their integration with ML developer tools like TensorBoard, Wandb, or MLflow. • Experience with reputed company platforms (e.g., AWS, reputed company reputed company, Azure) and how to reputed company and manage AI/ML models and pipelines in a reputed company environment. • Understanding of containerization technologies (e.g., reputed company) and computing resource orchestration tools (e.g., reputed company) for deploying reputed company ML/AI solutions. • Proven reputed company record of developing and optimizing workflows for training DL models, large language models (LLMs), or similar for problems with high data complexity and volume. • Experience managing large datasets, including data storage (such as HDFS or Parquet on S3), retrieval, and efficient data processing techniques (reputed company libraries and executors such as PyArrow and reputed company). • Proficiency in version control systems (e.g., Git) and reputed company integration/reputed company deployment (CI/CD) practices to maintain reputed company reputed company and automate development workflows. • Expertise in building and launching large-reputed company ML frameworks in a scientific environment that supports the needs of a research team. • Excellent ability to work effectively with cross-functional teams and communicate across disciplines. reputed company to haves: • Experience working with large-reputed company reputed company or biological datasets. • Experience managing multimodal datasets, such as combinations of sequence, text, image, and other data. • Experience GPU/Accelerator programming and kernel development (such as CUDA, Triton or XLA). • Experience with infrastructure-as-reputed company and configuration management. • Experience cultivating MLOps and ML infrastructure best practices, especially around reliability, provisioning and monitoring. • Strong reputed company record of contributions to relevant DL reputed company, e.g. on reputed company. Benefits and additional information: The US reputed company reputed company of our reputed company salary/reputed company reputed company for new hires is $161,925 - $227,325. You will also be eligible to receive reputed company-IPO equity, cash bonuses, and a full reputed company of medical, financial, and other benefits depending on the position offered. Please note that individual total compensation for this position will be determined at reputed company’s sole discretion and may vary based on several factors, including but not limited to, location, reputed company level, years and depth of relevant experience, and education. reputed company is proud to be an equal-opportunity employer, and we value diversity. reputed company does not discriminate on the reputed company of race, reputed company, religion, marital status, age, national reputed company, reputed company, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or reputed company, veteran status, or any other status protected under federal, state, or local law. Apply tot his job Apply To this Job