Data Scientist

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai’s leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world’s top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in Nov. 2024. Responsibility The ML Infrastructure team at Pony.ai provides a set of tools to support and automate the lifecycle of the AI workflow, including model development, evaluation, optimization, deployment, and monitoring. As a Machine Learning Engineer in ML Runtime & Optimization, you will be developing technologies to accelerate the training and inferences of the AI models in autonomous driving systems. This includes: Identifying key applications for current and future autonomous driving problems and performing in-depth analysis and optimization to ensure the best possible performance on current and next-generation compute architectures. Collaborating closely with diverse groups in Pony.ai including both hardware and software to optimize and craft core parallel algorithms as well as to influence the next-generation compute platform architecture design and software infrastructure. Apply model optimization and efficient deep learning techniques to models and optimized ML operator libraries. Work across the entire ML framework/compiler stack (e.g.Torch, CUDA and TensorRT), and system-efficient deep learning models. Requirements BS/MS or Ph.D in computer science, electrical engineering or a related discipline. Strong programming skills in C/C++ or Python. Experience on model optimization, quantization or other efficient deep learning techniques Good understanding of hardware performance, regarding CPU or GPU execution model, threads, registers, cache, cost/performance trade-off, etc. Experience with profiling, benchmarking and validating performance for complex computing architectures. Experience in optimizing the utilization of compute resources, identifying and resolving compute and data flow bottlenecks. Strong communication skills and ability to work cross-functionally between software and hardware teams Preferred Qualifications: One or more of the following fields are preferred Experience with parallel programming, ideally CUDA, OpenCL or OpenACC. Experience in computer vision, machine learning and deep learning. Strong knowledge of software design, programming techniques and algorithms. Good knowledge of common deep learning frameworks and libraries. Deep knowledge on system performance, GPU optimization or ML compiler. Compensation and Benefits Base Salary Range: $140,000 - $250,000 Annually Compensation may vary outside of this range depending on many factors, including the candidate’s qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units. Also, we provide the following benefits to the eligible employees: Health Care Plan (Medical, Dental & Vision) Retirement Plan (Traditional and Roth 401k) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Free Food & Snacks

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Responsibilities: Support and drive forward enterprise applications and platforms such as BigSquare, Carpe Diem, Chrome River, eBillingHub, Elite 3E including Design Gallery, IntApp Time, Proforma, and Star Collect for the finance department; Work on application implementations, upgrades, enhancements, troubleshooting, and roadmaps; Develop in 3E IDE and Design Gallery; Conduct development activities including analysis and solution design along with hands-on development across application layers; Provide direct oversight and management of various solutions as assigned; Act as subject matter expert for those systems and provide technical support as needed. Ensure the health and stability of all solutions owned; Monitor, track, and report on performance and capacity. Responsible for capacity planning; Under direction of the Senior Manager, Enterprise Applications, engage with the business as needed in supporting the above; Work with the relevant IT teams in developing and delivering enhancements and new capabilities. Drive and manage those efforts; Deliver recommendations to the business and IT leadership based on an understanding of the platform, roadmap and related business drivers; Maintain current and accurate architecture and support documentation for use by both engineering teams and support staff; Adhere to and participate in the Firm’s Change Management process; Provide regular updates and reporting to both the Senior Manager, Enterprise Applications and Director of Applications; Collaborates in the creation and use of training and QA materials and activities for applications supported; Provides coaching to junior analysts on trouble shooting and best practices; Know common legal enterprise solutions. Advanced knowledge of enterprise applications on premise, in the cloud, and hybrid; Work with product vendors and procurement; Requirements At least 7 years’ of information technology experience; At least 5 years’ experience working with Thomson Reuters Elite 3E; 5+ years of law firm experience

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects.  Although every project is unique, you might typically: Analyze and understand existing code in Python or C/C++ Migrate logic to idiomatic, safe Rust while preserving functionality Adapt or port the test suite and ensure behavioral equivalence Document migration steps and technical decisions How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. Requirements You have a Bachelor's or Master’s degree in Software Development, Computer Science, or other related fields.  You have at least 3 years of professional experience with C/C++ and 1+ year of hands-on experience with Rust. You are experienced with FFI tools (bindgen, cxx) and unsafe Rust for C/C++interoperability. You bring experience testing migrated code (unit/integration/fuzz tests). You demonstrate solid understanding of systems programming (memory management, concurrency). You are skilled at refactoring legacy code and documenting migration steps. Prompt engineering experience is a strong plus. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Benefits Why this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $50/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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