Cupertino Developers/Programmers Job Listings

Machine Learning Engineer, ML Runtime & Optimization63846070187009120

Workable

Machine Learning Engineer, ML Runtime & Optimization

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

Fremont, CA, USA

$140,000-250,000/year

Workable

Data Scientist - 2

Role: Data Scientist - 2 Work location: San Jose, CA – Onsite Job Type: Contract Job Description: Item embedding/recommendation engine Deep learning and recommendation engine @ scale for item and product embeddings Retail experience with Category management Demand forecasting, pricing,promo,assortment optmization Key Skills - SQL/Python ...??R?? as needed. Pyspark for Databricks Core development platform - Databricks on GCP 10+ years of experience Key Skills - SQL/Python ...?R? as needed. Pyspark for Databricks Core development platform Databricks on GCP Requirements Retail experience with Category management Demand forecasting, pricing,promo,assortment optmization Key Skills - SQL/Python ...??R?? as needed. Pyspark for Databricks Core development platform - Databricks on GCP 10+ years of experience Key Skills - SQL/Python ...?R? as needed. Pyspark for Databricks Core development platform Databricks on GCP

San Jose, CA, USA

Negotiable Salary

Software Engineer, Deep Learning63392022697987122

Workable

Software Engineer, Deep Learning

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 15 million miles of autonomous driving globally. Responsibility Work with experts in the field of self-driving vehicles on software architecture and design, system and module design, evaluation metrics, specification and implementation of test and regression frameworks. Design and develop large-scale foundation models trained on vast of real world data Frame the open-ended real-world problems into well-defined ML problems; develop and apply cutting-edge ML approaches (deep learning, reinforcement learning, imitation learning, etc) to these problems; scale them to data pipelines; and streamline them to run in real-time on the cars. Develop and deploy deep learning models, including vision language models (VLMs) and Large Language Models (LLMs) Optimize deep learning models to run robustly under tight run-time constraints. Requirements Master in Computer Science, or at least 2 years of equivalent industry experience in similar technical fields. Solid understanding of data structures, algorithms, parallel computing, code optimization and large scale data processing. Experience in applied machine learning including data collection and analysis, evaluation and feature engineering. Expertise in C++/Python. Strong communication skills and team spirit. Preferred Experience PhD in Deep Learning, Machine Learning, Robotics, Natural Language Processing, or similar technical field of study. Publications on top-tier conferences like CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/ICLR/AAAI/IJCV/PAMI Experience in applying ML/DL for behavior prediction, imitation learning, motion planning. Experience in deploying deep learning algorithms for real time applications, with limited computing resources. Experience in convex optimization, computational geometry or linear algebra. Experience in GPU/CUDA/TensorRT 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

Fremont, CA, USA

$140,000-250,000/year

Native mobile IOS Developer63392004029313123

Workable

Native mobile IOS Developer

Job description: Role Summary: Develop and implement high-quality native iOS applications, mentor junior developers, and collaborate with cross-functional teams. Requirements: 7+ years in iOS development Proficiency in Swift and SwiftUI Experience with reactive programming frameworks like RXSwift/Combine Familiarity with Xcode, Cocoa Touch, and iOS architecture patterns Deep expertise in Swift, with a strong command of SwiftUI for building modern and responsive UIs. Highly skilled in Swift programming language and SwiftUI framework, with experience crafting intuitive and dynamic user interfaces. Proficient in developing robust iOS applications using Swift and leveraging SwiftUI for declarative UI design.

San Leandro, CA, USA

Negotiable Salary

Senior/Lead Backend (NodeJS) Engineer - Onsite63393487535491124

Workable

Senior/Lead Backend (NodeJS) Engineer - Onsite

About Deep Origin Led by Michael Antonov, a co-founder of Oculus, and well-funded by Formic Ventures, Deep Origin is poised to reinvent the way scientists work and life science innovations come to life. We see a future largely free of diseases, with a 150-year lifespan being a norm. To get there, we are building an operating system for science, enabling scientists to be more productive and to bring tomorrow's ideas to life quickly and at a reasonable cost. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Role Description In this hands-on position, you will be a key member of the software engineering team, building our key functionality and integrating with key partners. Your responsibilities will range from designing and developing complex, large-scale systems to writing APIs that integrate with various cloud providers and partners. You will have ownership in key software feature areas and their architectural design, as well as software implementation with a high level of independence and impact. Requirements 7+ years of experience designing, building, and operating complex, highly-scalable, distributed applications and systems 3+ years of hands-on software development experience with TypeScript/JavaScript/NodeJS Experience with both relational databases (e.g. Postgres) and NOSQL (e.g. MongoDB) Knowledge of Kubernetes and Cloud infrastructure/deployment tools (specifically with cluster operations and operators) Has built platforms from an early stage Has scaled platforms to handle many users (10,000+ DAU) Has extensive system-design experience Has experience designing systems with complex data-sets/relations Has experience working with distributed systems/platforms Thinks about architecture first and how the code fits in second Has experience working with/implementing a multi-tenant system Systematic problem-solving approach, coupled with a strong sense of ownership and drive Ability to work both independently and on the team Experience working in high-energy startups with fast product delivery mechanisms Benefits Benefits This position offers a competitive salary, benefits, and equity.

South San Francisco, CA, USA

Negotiable Salary

Senior/Lead Full Stack Engineer (NodeJS+React)63499796884611125

Workable

Senior/Lead Full Stack Engineer (NodeJS+React)

About Deep Origin Led by Michael Antonov, a co-founder of Oculus, and well-funded by Formic Ventures, Deep Origin is poised to reinvent the way scientists work and life science innovations come to life. We see a future largely free of diseases, with a 150-year lifespan being the norm. To get there, we are building an operating system for science, enabling scientists to be more productive and to bring tomorrow's ideas to life quickly and at a reasonable cost. Role Description We are seeking a talented and experienced Senior/Lead Full Stack Engineer to join our dynamic team. You will be a key member of the software engineering team, building our key functionality and integrating with key partners. You will have ownership in key software feature areas and their architectural design, as well as software implementation with a high level of independence and impact. You will work closely with cross-functional teams to create robust, user-friendly applications that drive the efficiency and effectiveness of biologists and researchers in their scientific endeavors. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Requirements 10+ years of experience designing, building, and operating complex, highly scalable, distributed applications and systems 5+ years of hands-on software development experience with React/TypeScript/JavaScript/NodeJS Experience with both relational databases (e.g., Postgres) and NOSQL (e.g., MongoDB) Knowledge of Kubernetes and Cloud infrastructure/deployment tools (specifically with cluster operations and operators) Has built platforms from an early stage Has scaled platforms to handle many users (10,000+ DAU) Has extensive system-design experience Has experience designing systems with complex datasets/relations Has experience working with distributed systems/platforms Thinks about architecture first and how the code fits in second Has experience working with/implementing a multi-tenant system Systematic problem-solving approach, coupled with a strong sense of ownership and drive Ability to work both independently and on a team Experience working in high-energy startups with fast product delivery mechanisms Must work onsite at least 3 days a week

South San Francisco, CA, USA

Negotiable Salary

Machine Learning Researcher / Engineer (Foundational Models)63499914889731126

Workable

Machine Learning Researcher / Engineer (Foundational Models)

About Pathway Pathway is building LiveAI™ systems that think and learn in real time as humans do. Our mission is to deeply understand how and why LLMs work, fundamentally changing the way models think. The team is made up of AI luminaries. Pathway's CTO, Jan Chorowski, co-authored papers with Geoff Hinton and Yoshua Bengio and was one of the first people to apply attention to speech. Our CSO, Adrian Kosowski, received his PhD in Theoretical Computer Science at the age of 20 and made significant contributions across numerous scientific fields, including AI and quantum information. He also served as a professor and a coach for competitive programmers at Ecole Polytechnique. The team also includes numerous world's top scientists and competitive programmers, alongside seasoned Silicon Valley executives. Pathway has strong investor backing. To date, we have raised over $15M; our latest reported round was our seed. Our offices are located in Palo Alto, CA, as well as Paris, France, and Wroclaw, Poland. The Opportunity This is an R&D position in attention-based models. We are currently searching for 1 or 2 R&D Engineers with a strong track record in machine learning models research. This is an extremely ambitious foundational project. There is a flexible GPU budget associated with this specific project, guaranteed to be in the 7-digit range minimum. You Will perform (distributed) model training. help improve/adapt model architectures based on experiment results. design new tasks and experiments. optionally: oversee activities of team members involved in data preparation. The results of your work will play a crucial role in the success of the project. Requirements Cover letter It's always a pleasure to say hi! If you could leave us 2-3 lines, we'd really appreciate that. You are expected to meet at least one of the following criteria: You have published at least one paper at NeurIPS, ICLR, or ICML - where you were the lead author or made significant conceptual & code contributions. You have significantly contributed to an LLM training effort which became newsworthy (topped a Huggingface benchmark, best in class model, etc.), preferably using multiple GPU's. You have spent at least 6 months working in a leading Machine Learning research center (e.g. at: Google Brain / Deepmind, Apple, Meta, Anthropic, Nvidia, MILA). You were an ICPC World Finalist, or an IOI, IMO, or IPhO medalist in High School. You Are A deep learning researcher, with a track record in Language Models and/or RL (candidates with a Vision or Robotics ML background are also welcome to apply). Interested in improving foundational architectures and creating new benchmarks. Experienced at hands-on experiments and model training (PyTorch, Jax, or Tensorflow). Have a good understanding of GPU architecture, memory design, and communication. Have a good understanding of graph algorithms. Have some familiarity with model monitoring, git, build systems, and CI/CD. Respectful of others Fluent in English Bonus Points Knowledge of approaches used in distributed training. Familiarity with Triton Successful track-record in algorithms & data science contests. Showing a code portfolio. Why You Should Apply Join an intellectually stimulating work environment. Be a pioneer: you get to work with a new type of "Live AI" challenges around long sequences and changing data. Be part of one of an early-stage AI startup that believes in impactful research and foundational changes. Benefits Type of contract: Full-time, permanent Preferable joining date: Immediate. The positions are open until filled – please apply immediately. Compensation: six-digit annual salary based on profile and location + Employee Stock Option Plan. Location: Remote work. Possibility to work or meet with other team members in one of our offices: Palo Alto, CA; Paris, France or Wroclaw, Poland. Candidates based anywhere in the EU, UK, United States, and Canada will be considered. If you meet our broad requirements but are missing some experience, don’t hesitate to reach out to us.

Palo Alto, CA, USA

$100,000/year