Location San Diego

Description

At Qualcomm, we are transforming the automotive industry with our Snapdragon Digital Chassis and building the next generation software defined vehicle (SDV).

Snapdragon Ride is an integral pillar of our Snapdragon Digital Chassis, and since its launch it has gained momentum with a growing number of global automakers and Tier1 suppliers. Snapdragon Ride aims to address the complexity of autonomous driving and ADAS by leveraging its high-performance, power-efficient SoC, industry-leading artificial intelligence (AI) technologies and pioneering vision and drive policy stack to deliver a comprehensive, cost and energy efficient systems solution.

Enabling safe, comfortable, and affordable autonomous driving includes solving some of the most demanding and challenging technological problems. From centimeter-level localization to multimodal sensor perception, sensor fusion, behavior prediction, maneuver planning, and trajectory planning and control, each one of these functions introduces its own unique challenges to solve, verify, test, and deploy on the road.

We are looking for smart, innovative and motivated individuals with strong theory background in deep learning, advanced signal processing, probability & algorithms and good implementation skills in python/C++. Job responsibilities include design and development of novel algorithms for solving complex problems related to behavior prediction for autonomous driving, including trajectory and intention prediction. Develop novel deep learning models to predict trajectories for road users and optimize them to run-in real-time systems. Work closely with sensor fusion and planning team on defining requirements and KPIs. Work closely with test engineers to develop test plans for validating performance in simulations and real-world testing.

Minimum Qualifications: • Bachelor's degree in Computer Science, Electrical Engineering, Mechanical Engineering, or related field and 6+ years of Systems Engineering or related work experience. OR Master's degree in Computer Science, Electrical Engineering, Mechanical Engineering, or related field and 5+ years of Systems Engineering or related work experience. OR PhD in Computer Science, Electrical Engineering, Mechanical Engineering, or related field and 4+ years of Systems Engineering or related work experience.Preferred Qualifications: Ph.D + 2 years industry experience in behavior and trajectory prediction Proficient in variety of deep learning models like CNN, Transformer, RNN, LSTM, VAE, GraphCNN etc Experience working with NLP Deep Learning Networks Proficient in state of the art in machine learning tools (pytorch, tensor flow) 3+ years of experience with Programming Language such as C, C++, Python, etc. 3+ years Systems Engineering, or related work experience in the area of behavior and trajectory prediction. Experience working with, modifying, and creating advanced algorithms Analytical and scientific mindset, with the ability to solve complex problems. Experience in Autonomous driving, Robotics, XR/AR/VR Experience with robust software design for safety-critical systems Excellent written and verbal communication skills, ability to work with a cross-functional team

ASML US, including its affiliates and subsidiaries, bring together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market and service these advanced machines, which enable our customers - the world’s leading chipmakers - to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics. Our headquarters are in Veldhoven, Netherlands and we have 18 office locations around the United States including main offices in Chandler, Arizona, San Jose and San Diego, California, Wilton, Connecticut, and Hillsboro, Oregon.

ASML’s Optical Sensing (Wafer Alignment Sensor and YieldStar) department in Wilton, Connecticut is seeking a Design Engineer to support and develop complex optical/photonic sensor systems used within ASML’s photolithography tools. These systems typically include light sources, detectors, optical/electro-optical components, fiber optics, electronics and signal processing software functioning in close collaboration with the rest of the lithography system. As a design engineer, you will design, develop, build and integrate optical sensor systems.

Role and Responsibilities Use general Physics, Optics, Software knowledge and an understanding of the sensor systems and tools to develop optical alignment sensors in lithography machines Have hands-on sills of building optical systems (e.g. imaging, testing, alignment, detector system, etc.) Have strong data analysis sills to evaluate sensor performance and troubleshooting Leadership:

Lead executing activities for determining problem root cause, execute complex tests, gather data and effectively communicate results on different levels of abstraction (from technical colleagues to high level managers) Lead engineers in various competencies (e.g. software, electronics, equipment engineering, manufacturing engineering, etc.) in support of feature delivery for alignment sensors Problem Solving: Troubleshooting complex technical problems Develop/debug data signal processing algorithms Develop and execute test plans in order to determine problem root cause Communications/Teamwork: Draw conclusions based on the input from different stakeholders Capability to clearly communicate the information on different level of abstraction Programming: Implement data analysis techniques into functioning MATLAB codes Optimization skills GUI building experience Familiarly with LabView and Python Some travel (up to 10%) to Europe, Asia and within the US can be expected

Location Madrid, ESP

Description Amazon's International Technology org in EU (EU INTech) is creating new ways for Amazon customers discovering Amazon catalog through new and innovative Customer experiences. Our vision is to provide the most relevant content and CX for their shopping mission. We are responsible for building the software and machine learning models to surface high quality and relevant content to the Amazon customers worldwide across the site.

The team, mainly located in Madrid Technical Hub, London and Luxembourg, comprises Software Developer and ML Engineers, Applied Scientists, Product Managers, Technical Product Managers and UX Designers who are experts on several areas of ranking, computer vision, recommendations systems, Search as well as CX. Are you interested on how the experiences that fuel Catalog and Search are built to scale to customers WW? Are interesting on how we use state of the art AI to generate and provide the most relevant content?

We are looking for Applied Scientists who are passionate to solve highly ambiguous and challenging problems at global scale. You will be responsible for major science challenges for our team, including working with text to image and image to text state of the art models to scale to enable new Customer Experiences WW. You will design, develop, deliver and support a variety of models in collaboration with a variety of roles and partner teams around the world. You will influence scientific direction and best practices and maintain quality on team deliverables.

ASML US, including its affiliates and subsidiaries, bring together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market and service these advanced machines, which enable our customers - the world’s leading chipmakers - to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics. Our headquarters are in Veldhoven, Netherlands and we have 18 office locations around the United States including main offices in Chandler, Arizona, San Jose and San Diego, California, Wilton, Connecticut, and Hillsboro, Oregon.

The Advanced Development Center at ASML in Wilton, Connecticut is seeking an Optical Data Analyst with expertise processing of images for metrology process development of ultra-high precision optics and ceramics. The Advanced Development Center (ADC) is a multi-disciplinary group of engineers and scientists focused on developing learning loop solutions, proto-typing of next generation wafer and reticle clamping systems and industrialization of proto-types that meet the system performance requirements.

Role and Responsibilities The main job function is to develop image processing, data analysis and machine learning algorithm and software to aid in development of wafer and reticle clamping systems to solve challenging engineering problems associated with achieving nanometer (nm) scale precision. You will be part of the larger Development and Engineering (DE) sector – where the design and engineering of ASML products happens.

As an Optical Data Analyst, you will: Develop/improve image processing algorithm to extract nm level information from scientific imaging equipment (e.g. interferometer, SEM, AFM, etc.) Integrate algorithms into image processing software package for analysis and process development cycles for engineering and manufacturing users Maintain version controlled software package for multiple product generations Perform software testing to identify application, algorithm and software bugs Validate/verify/regression/unit test software to ensure it meets the business and technical requirements Use machine learning models to predict trends and behaviors relating to lifetime and manufacturing improvements of the product Execute a plan of analysis, software and systems, to mitigate product and process risk and prevent software performance issues Collaborate with the design team in software analysis tool development to find solutions to difficult technical problems in an efficient manner Work with database structures and utilize capabilities Write software scripts to search, analyze and plot data from database Support query code to interrogate data for manufacturing and engineering needs Support image analysis on data and derive conclusions Travel (up to 10%) to Europe, Asia and within the US can be expected

Mountain View

Who we are Our team is the first in the world to use autonomous vehicles on public roads using end-to-end deep learning. With our multi-national world-class technical team, we’re building things differently.

We don’t think it’s scalable to tell an algorithm how to drive through hand-coded rules and expensive HD maps. Instead, we believe that using experience and data will allow our algorithms to be more intelligent: capable of easily adapting to new environments. Our aim is to be the future of self-driving cars: the first to deploy in 100 cities across the world bringing autonomy to everyone, everywhere.

Where you will have an impact: Science is the team that is advancing our end-to-end autonomous driving research. The team’s mission is to accelerate our journey to AV2.0 and ensure the future success of Wayve by incubating and investing in new ideas that have the potential to become game-changing technological advances for the company.

As the first Research Manager in our Mountain View office, you will be responsible for managing & scaling a strong Science team which is building our Wayve Foundational Model in collaboration with other Wayve science teams in London and Vancouver. You will provide coaching and guidance to each of the researchers and engineers within your team and work with leaders across the company to ensure sustainable career growth for your team during a period of growth in the company. You will participate in our project-based operating model where your focus will be unlocking the potential of your team and its technical leaders to drive industry-leading impact. As part of your work, you will help identify the right projects to invest in, ensure the right allocation of resources to those projects, keep the team in good health, provide technical feedback to your team, share progress to build momentum, and build alignment and strong collaboration across the wider Science organisation. We are actively hiring and aim to substantially grow our research team over the next two years and you will be at the heart of this.

What you’ll bring to Wayve Essential: Prior experience as a manager of research teams (10-15+ people) with a clear career interest towards management Passionate about fostering personal and professional growth in individual team members Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables Strong knowledge of Machine Learning and related areas, such as Deep Learning, Natural Language Processing, Computer Vision, etc. Industry experience with machine learning technology development which has had real-world product impact Experience driving a team and technical project through the full lifecycle, ideally within the language, vision or multimodal space Passionate about bringing research concepts through to product Research and engineering fundamentals MS or PhD in Computer Science, Engineering, or similar experience

Desirable: Experience managing the execution of a technical product Good experience working in a project-based (“matrix”) operating environment Proven track record of successfully delivering research projects and publications Experience working with robotics, self-driving, AR/VR, or LLMs Our offer Competitive compensation, on-site chef and bar, lots of fun socials, workplace nursery scheme, comprehensive private health insurance and more! Immersion in a team of world-class researchers, engineers and entrepreneurs. A position to shape the future of autonomous driving, and thus bring about a real world deployment of a breakthrough technology. Help relocating/travelling to London, with visa sponsorship. Flexible working hours - we trust you to do your job well, at times that suit you and your team.

Location: Sunnyvale, California, USA

Are you a gamer? Are you passionate about the cutting edge of foundation models and Multiodal LLM Agent for 3D world creation for future gaming?

Cybever.ai is on the lookout for an innovative AI Research Scientist to join our dynamic team and revolutionize the world of generative AI for 3D content.

What You'll Be Doing:

• Research and Development: Lead groundbreaking research in multimodal large language models (LLMs) and AI agents.
• 3D Content Creation: Develop advanced models and algorithms to create large-scale 3D assets and environments from text or images, enhancing our AI-powered creative suite.
• Collaboration and Integration: Work closely with the engineering team to integrate new AI capabilities into our existing products, ensuring they meet the needs of game developers, movie productions, and 3D artists.
• Innovation in AI: Stay ahead of the curve by publishing research, attending conferences, participating in open source projects, and collaborating with the global AI research community.

You're Probably a Match If You Have:

• Strong Research Background: Ph.D. or equivalent experience in AI, machine learning, computer vision, computer graphics, or related fields.
• Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or similar frameworks.
• 3D Software Experience: Hands-on experience with tools like Blender, Houdini, Unreal Engine, or Unity, or a willingness to learn.
• Relevant Experience: Demonstrated work in computer vision or computer graphics, with a portfolio of projects or publications to showcase your expertise.

About Cybever:

Cybever, headquartered in the heart of Silicon Valley and founded by ex-Googlers, is a pioneer in the generative AI space, transforming how game developers and artists create 3D content. Our innovative tools enable creating large-scale, high-fidelity, and interactive 3D environments in minutes, freeing up creators to focus on what they do best. With partnerships with industry leaders like Unreal Engine, we are at the forefront of integrating AI into the creative process, empowering developers worldwide to realize their visions easier and faster.

Employment Type:

• Full-Time Employment: This is a full-time position with potential for H1B and OPT sponsorship.
• International Opportunities: We are also open to hiring international contractors who meet our qualifications.
• Research Intern or Residency: Ideal for graduate students, this is a part-time or full-time opportunity to gain hands-on research experience while completing your studies.

Join us at Cybever and be a part of a team that's shaping the future of 3D creation. If you're ready to push the boundaries of what's possible with AI, we want to hear from you!

Redmond, Washington, United States

Overview Are you interested in developing and optimizing deep learning systems? Are you interested in designing novel technology to accelerate their training and serving for cutting edge models and applications? Do you want to scale large Artificial Intelligence models to their limits on massive supercomputers? Are you interested in being part of an exciting open-source library for deep learning systems? The DeepSpeed team is hiring!

Microsoft's DeepSpeed is an open-source library built on the PyTorch (machine learning framework) ecosystem that combines numerous research innovations and technology advancements to make deep learning efficient and easier to use. DeepSpeed can parallelize across thousands of GPUs and train models with trillions of parameters. Our OSS (Open Source Software) has powered many advanced models like MT-530B and BLOOM, and it supports unprecedented scale and speed for both training and inference.

The DeepSpeed team is also part of the larger Microsoft AI at Scale initiative, which is pioneering the next-generation AI capabilities that are scaled across the company’s products and AI platforms.

The DeepSpeed team is looking for a Senior Researcher in Redmond, WA with passion for innovations and for building high-quality systems that will make significant impact inside and outside of Microsoft. Our team is highly collaborative, innovative, and end-user obsessed. We are looking for candidates with systems skills and passionate about driving innovations to improve the efficiency and effectiveness of deep learning systems. We value creativity, agility, accountability, and a desire to learn new technologies.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities Excels in one or more subareas and gains expertise in a broad area of research. Identifies and articulates problems in an area of research that are academically novel and may directly or indirectly impact business opportunities. Collaborates with other relevant researchers or research groups to contribute to or advance a research agenda. Researches and develops an understanding of the state-of-the-art insights, tools, technologies, or methods being used in the research community. Expands collaborative relationships with relevant product and business groups inside or outside of Microsoft and provides expertise or technology to them.

Location Seattle, WA

Description Interested in solving challenging problems using latest developments in Large Language Models and Artificial Intelligence (AI)? Amazon's Consumer Electronics Technology (CE Tech) organization is redefining shopping experiences leveraging state of the art AI technologies. We are looking for a talented Sr. Applied Scientist with a solid background in the design and development of scalable AI and ML systems and services, deep passion for building ML-powered products, a proven track record of executing complex projects, and delivering high business and customer impact. You will help us shape the future of shopping experiences. As a member of our team, you'll work on cutting-edge projects that directly impact millions of customers, selling partners, and employees every single day. This role will provide exposure to state-of-the-art innovations in AI/ML systems (including GenAI). Technologies you will have exposure to, and/or will work with, include AWS Bedrock, Amazon Q, SageMaker, and Foundational Models such as Anthropic’s Claude / Mistral, among others.

Location Niskayuna, NY

Description Job Description Summary At GE Aerospace Research, our team develops advanced embedded systems technology for the future of flight. Our technology will enable sustainable air travel and next generation aviation systems for use in commercial as well as military applications. As a Lead Embedded Software Engineer, you will architect and develop state-of-the-art embedded systems for real-time controls and communication applications. You will lead and contribute to advanced research and development programs for GE Aerospace as well as with U.S. Government Agencies. You will collaborate with fellow researchers from a range of technology disciplines, contributing to projects across the breadth of GE Aerospace programs. Job Description Essential Responsibilities: As a Lead Embedded Software Engineer, you will:

Work independently as well as with a team to develop and apply advanced software technologies for embedded controls and communication systems for GE Aerospace products Interact with hardware suppliers and engineering tool providers to identify the best solutions for the most challenging applications Lead small to medium-sized projects or tasks Be responsible for documenting technology and results through patent applications, technical reports, and publications Expand your expertise staying current with advances in embedded software to seek out new ideas and applications Collaborate in a team environment with colleagues across GE Aerospace and government agencies

Qualifications/Requirements:

Bachelor’s degree in Electrical Engineering, Computer Science, or related disciplines with a minimum of 7 years of industry experience OR a master’s degree in Electrical Engineering, Computer Science, or related disciplines with a minimum of 5 years of industry experience OR a Ph.D. in Electrical Engineering, Computer Science, or related disciplines with a minimum of 3 years of industry experience. Strong background in software development for embedded systems (e.g., x86, ARM) Strong embedded programming skills such as: C/C++, Python, and Rust Familiarity with CNSA and NIST cryptographic algorithms Willingness to travel at a minimum of 2 weeks per year Ability to obtain and maintain US Government Security Clearance US Citizenship required Must be willing to work out of an office located in Niskayuna, NY You must submit your application for employment on the careers page at www.gecareers.com to be considered Ideal Candidate Characteristics:

Coding experience with Bash, Python, C#, MATLAB, ARMv8 assembly, RISCV assembly Experience with embedded devices from Intel, AMD, Xilinx, NXP, etc. Experience with hardware-based security (e.g., UEFI, TPM, ARM TrustZone, Secure Boot) Understanding of embedded system security requirements and security techniques Experience with Linux OS and Linux security Experience with OpenSSL and/or wolfSSL Experience with wired and wireless networking protocols or network security Knowledge of 802.1, 802.3, and/or 802.11 standards Experience in software defined networks (SDN) and relevant software such as OpenFlow, Open vSwitch, or Mininet Hands-on experience with embedded hardware (such as protoboards) or networking equipment (such as switches and analyzers) in a laboratory setting Experience with embedded development in an RTOS environment (e.g., VxWorks, FreeRTOS) Demonstrated ability to take an innovative idea from a concept to a product Experience with the Agile methodology of program management The base pay range for this position is 90,000 - 175,000 USD Annually. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. This position is also eligible for an annual discretionary bonus based on a percentage of your base salary. This posting is expected to close on June 16, 2024

Figma is growing our team of passionate people on a mission to make design accessible to all. Born on the Web, Figma helps entire product teams brainstorm, design and build better products — from start to finish. Whether it’s consolidating tools, simplifying workflows, or collaborating across teams and time zones, Figma makes the design process faster, more efficient, and fun while keeping everyone on the same page. From great products to long-lasting companies, we believe that nothing great is made alone—come make with us!

We’re looking for engineers with a Machine Learning and Artificial Intelligence background to improve our products and build new capabilities. You will be driving fundamental and applied research in this area. You will be combining industry best practices and a first-principles approach to design and build ML models that will improve Figma’s design and collaboration tool.

What you’ll do at Figma:

• You will be driving fundamental and applied research in ML/AI. You will explore the boundaries of what is possible with the current technology set.
• You will be combining industry best practices and a first-principles approach to design and build ML models.
• Work in concert with product and infrastructure engineers to improve Figma’s design and collaboration tool through ML powered product features.
• We'd love to hear from you if you have:
• 5+ years of experience in programming languages (Python, C++, Java or R)
• 3+ years of experience in one or more of the following areas: machine learning, natural language processing/understanding, computer vision, generative models.
• Proven experience researching, building and/or fine-tuning ML models in production environments
• Experience communicating and working across functions to drive solutions

While not required, It’s an added plus if you also have:

• Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long-term vision.
• Experience in mentoring/influencing senior engineers across organizations.

Redmond, Washington, United States

Overview Within AI Platform, the Cognitive Services team empowers developers and data scientists around the world and of all skill levels to easily add AI capabilities to their apps. #aiplatform

We are looking for a Research Scientist with a background in Computer Vision, Natural Language Processing and/or Artificial Intelligence, including topics like layout analysis, chart understanding, multi-page multi-document question answering, novel ways of leveraging large language models for document understanding and solving problems inherent to large language models (grounding, retrieval-based generation, etc.). Familiarity with modern large language models is a plus, but not required.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities Your responsibilities will include:

Conduct pioneering research to propel the state-of-the-art in various tasks in document understanding. Work closely with fellow Research Scientists and Product Engineering teams to translate research outcomes into practical solutions. Provide expertise and support to the engineering team on various challenges, fostering collaboration between research and practical application. Take charge of the research agenda from problem definition to algorithm and model development.

We are seeking a highly motivated candidate for a fully funded PhD position to work in 3D computer graphics and 3D computer vision.

The successful candidate will join the 3D Graphics and Vision research group led by Prof. Binh-Son Hua at the School of Computer Science and Statistics, Trinity College Dublin, Ireland to work on topics related to generative AI in the 3D domain.

The School of Computer Science and Statistics at Trinity College Dublin is a collegiate, friendly, and research-intensive centre for academic study and research excellence. The School has been ranked #1 in Ireland, top 25 in Europe, and top 100 Worldwide (QS Subject Rankings 2018, 2019, 2020, 2021).

The PhD student is expected to conduct fundamental research and publish in top-tier computer vision and computer graphics conferences (CVPR, ECCV, ICCV, SIGGRAPH) and journals (TPAMI, IJCV).

The start date of the position is September 01, 2024. The position is fully funded for 4 years by Science Foundation Ireland.

The successful candidate will require the following skills and knowledge: • Bachelor or Master in Computer Science or related fields; • Strong competence in computer graphics, computer vision; • Solid experience in academic research and publications is an advantage; • Additional background in math, statistics, or physics is an advantage. • Hands-on experience in training deep models; • Hands-on experience in computer graphics and computer vision application development such as OpenGL, OpenCV, CUDA, Blender; • Strong programming skills in C++, Python. Capability in implementing systems based on open-source software.

Applicants should provide the following information: • A comprehensive CV; • Academic transcripts of Bachelor and Master’s degree; • The name and contact details of two referees.

Interested candidates can email Binh-Son Hua (https://sonhua.github.io) for an informal discussion of the position. Applications will be reviewed on a rolling basis until the position has been filled.

Vancouver, British Columbia, Canada

Overview Microsoft Research (MSR), a leading industrial research laboratory comprised of over 1,000 computer scientists working across the United States, United Kingdom, China, India, Canada, and the Netherlands.

We are currently seeking a Senior Researcher in the area of  Artificial Specialized Intelligence located in Vancouver, British Columbia, with a keen interest in developing cutting-edge large foundation models and post-training techniques for different domains and scenarios. This is an opportunity to drive an ambitious research agenda while collaborating with diverse teams to push for novel applications of those areas.  
  Over the past 30 years, our scientists have not only conducted world-class computer science research but also integrated advanced technologies into our products and services, positively impacting millions of lives and propelling Microsoft to the forefront of digital transformation.

Responsibilities Conduct cutting-edge research in large foundation models, focusing on applying large foundation models in specific domain. Collaborate with cross-functional teams to integrate solutions into Artificial Intelligence (AI) -driven system. Develop and maintain research prototypes and software tools, ensuring that they are well-documented and adhere to best practices in software development. Publish research findings in top-tier conferences and journals and present your work at industry events. Collaborate with other AI researchers and engineers, sharing knowledge and expertise to foster a culture of innovation and continuous learning within the team.

Vancouver

Who we are Established in 2017, Wayve is a leader in autonomous vehicle technology, driven by breakthroughs in Embodied AI. Our intelligent, mapless, and hardware-agnostic technologies empower vehicles to navigate complex environments effortlessly.

Supported by prominent investors, Wayve is advancing the transition from assisted to fully automated driving, making transportation safer, more efficient, and universally accessible. Join our world-class, multinational team of engineers and researchers as we push the boundaries of frontier AI and autonomous driving, creating impactful technologies and products on a global scale

Where you will have an impact We are seeking an experienced researcher to be a founding member of our Vancouver team! We are prioritising someone with experience actively participating in AI projects applied to autonomous driving or similar robotics or decision-making domains, inclusive, but not limited to the following specific areas:

Foundation models for robotics or embodied AI Model-free and model-based reinforcement learning Offline reinforcement learning Large language models Planning with learned models, model predictive control and tree search Imitation learning, inverse reinforcement learning and causal inference Learned agent models: behavioural and physical models of cars, people, and other dynamic agents Challenges you will own You'll be working on some of the world's hardest problems, and able to attack them in new ways. You'll be a key member of our diverse, cross-disciplinary team, helping teach our robots how to drive safely and comfortably in complex real-world environments. This encompasses many aspects of research across perception, prediction, planning, and control, including:

How to leverage our large, rich, and diverse sources of real-world driving data How to architect our models to best employ the latest advances in foundation models, transformers, world models, etc, evaluating and incorporating state-of-the-art techniques into our workflows. Which learning algorithms to use (e.g. reinforcement learning, behavioural cloning) How to leverage simulation for controlled experimental insight, training data augmentation, and re-simulation How to scale models efficiently across data, model size, and compute, while maintaining efficient deployment on the car Collaborate with cross-functional teams to integrate research findings into scalable, production-level solutions. You also have the potential to contribute to academic publications for top-tier conferences like NeurIPS, CVPR, ICRA, ICLR, CoRL etc. working in a world-class team, contributing to the scientific community and establishing Wayve as a leader in the field.

What you will bring to Wayve Proven track record of research in one or more of the topics above demonstrated through deployed applications or publications. Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch, numpy, pandas, etc. Experience bringing a machine learning research concept through the full ML development cycle Excellent problem-solving skills and the ability to work independently as well as in a team environment. Demonstrated ability to work collaboratively in a fast-paced, innovative, interdisciplinary team environment. Desirable: Experience bringing an ML research concept through to production and at scale PhD in Computer Science, Computer Engineering, or a related field

What we offer you The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving. Unlike our competitors, Wayve is still relatively small and nimble, giving you the chance to make a huge impact Competitive compensation and benefits A dynamic and fast-paced work environment in which you will grow every day - learning on the job, from the brightest minds in our space, and with support for more formal learning opportunities too