You are investigating the smartest way to interact with a browser page with an AI agent. You hammered a DOM based approach and sometimes dreamt of going visual. You tried out a pure visual approach and missed the good old DOM ways. You are now at the forefront. You know system thinking and how that reflects to a complex environment like in a browser agent platform. If that's you, please get in touch, we have a great opportunity waiting for you in San Francisco!

Senior Research Fellow

Job Reference: 521361
Employment Type: Full Time (Fixed Term, 2 Years)
Location: Perth, Western Australia

Remuneration

Base salary: Level C, $144,143–$165,809 p.a. (pro-rata) plus 17% superannuation

The Research Centre

The Planning and Transport Research Centre (PATREC) at UWA conducts research with direct application to transport planning and road safety. RoadSense Analytics (RSA) is a video analytics platform for traffic analysis, developed through seven years of sustained R&D. The platform translates Australian research into a market-ready product for transport planning applications.

The Role

You will lead advanced research and development of computer vision and AI/ML models for traffic video analytics, focusing on detection, tracking, trajectory analysis, and robustness in complex conditions. You will conduct large-scale benchmarking, optimisation, and deployment of AI models, ensuring research innovations translate into real-world applications within the RoadSense Analytics platform. You will mentor junior researchers, collaborate with engineers, and contribute to knowledge building while pioneering state-of-the-art methods in multi-object tracking, trajectory reconstruction, and error reduction.

Selection Criteria

Essential:

• Tertiary degree in Computer Science, Applied Mathematics/Statistics, Robotics, Physics, or related discipline, with excellent academic record
• Demonstrated expertise and leadership in computer vision and machine learning research, including object detection, multi-object tracking, and segmentation
• Evidence of leading research projects, teams, or collaborations, with measurable outcomes
• Strong record of publications or equivalent applied research outputs in AI/ML or computer vision
• Experience translating AI/ML research into real-world applications or systems

Further Information

Position Description: PD [Senior Research Fellow] [521361].pdf

Contact: Associate Professor Chao Sun
Email: chao.sun@uwa.edu.au

Palo Alto, CA

Position Description: As a Software Engineer for the Optimus team, you will build the tools and infrastructure to make and measure improvements to neural network architecture, visualize data, assist with exporting and deploying neural networks to the bot, and evaluate experimental results. You will help us automate the entire workflows of training, validation, and production of the Optimus. Most importantly, you will see your work repeatedly shipped to and utilized by thousands of Humanoid Robots in real world applications.

Responsibilities: Build and improve our Python training infrastructure for stable and faster training

Build the tooling and infrastructure for reporting and visualizing model metrics and performance

Build the pipelines to run and validate our PyTorch models

Manage, analyze, and visualize our training and test datasets

Coordinate with the team managing the hardware cluster to maintain high availability / jobs throughput for Machine Learning

Build and improve tooling to deploy trained neural nets to Tesla hardware

Requirements: Practical experience programming in Python and/or C++

Proficient in system-level software, particularly hardware-software interactions and resource utilization

Understanding of modern machine learning concepts and state of the art deep learning

Experience working with training frameworks, ideally PyTorch

Demonstrated experience scaling neural network training jobs across clusters of GPU’s

Optional: Previous experience in deep learning deployment

Optional: Profiling and optimizing CPU-GPU interactions (pipelining compute/transfers, etc)

San Jose, CA, USA

Adobe is looking for a Senior Applied Researcher to use Generative AI and Machine Learning techniques to help Adobe better understand, lead, and optimize the experience of Adobe’s Digital Experience customers. Partnering with Adobe Research and other business units, the candidate will be building products that transform the way companies approach audience creation, journey optimization, and personalization at scale. You will join a diverse, lively group of engineers and scientists long established in the ML space. The work is dynamic, fast-paced, creative, collaborative and data-driven.

NOTE: This role is in the San Jose office. You must be in SJ or willing to relocate for this position.

What you'll do - Partner with Adobe Research to develop cutting edge models! - Design and build applications powered by generative AI, including working on traditional engineering problems such as defining APIs, integrating with UIs, deploying Cloud services, CICD, etc., as well as implementing ML- and LLM-Ops best practices.
- Engage in the product lifecycle, design, deployment, and production operations. - Provide technical leadership in everything from architectural design and technology choices to holistic evaluation of ML models.

What you need to succeed - The ideal candidate will have the following background: - PhD or MS degree in Computer Science, Data Science or related field required.
- 10+ years of applied research experience in software industry/academic research with 5+ years of shown experience developing, evaluating ML models, and deploying models into production. - Deep understanding of statistical modeling, machine learning, or analytics concepts, and a track record of solving problems with these methods; ability to quickly learn new skills and work in a fast-paced team. - Proficient in one or more programming languages such as Python, Scala, Java, SQL. Familiarity with cloud development on Azure/AWS. - Fluent in at least one deep learning framework such as TensorFlow or PyTorch. - Experience with LLMs and emerging area of prompt-engineering. - Recognized as a technical leader in related domain.
- Experience working with both research and product teams.
- Excellent problem-solving and analytic skills - Excellent communication and relationship building skills.

NVIDIA is developing the NVIDIA DRIVE AV Solution (NDAS), powered by the latest advancement in AI and accelerated computing. We are seeking a highly motivated software expert to join our Autonomous Vehicles (AV) Drive-Alpha team in US Santa Clara. You will be driving the engineering execution of feature development or exceeding the meaningful metric requirements, especially for L2++ and L3/L4.

Drive-Alpha consists of proficient domain-experts spanning the full stack of autonomous driving, including perception, fusion, prediction, planning and control, autonomous model, many with proven development experiences for the highly competitive market in key functions like Highway NOA (Navigation on Autopilot) and Urban NOA (Navigation on Autopilot), as well as p2p driving (including parking). This team is responsible for the integration and sign-off of NDAS component teams' merge request/change lists, promotes validated changes to merge into stable branch, analyzes the root-cause of the regression identified, and drive the corrective actions taken by component engineering teams for a productive CI/CD process of SW development. Also, the team members tightly integrate into component teams' development, acting as a dependency resolver for the component teams to deliver cross-function improvement that are most impactful to NDAS product. We nurture teamwork among component teams' engineers and establish positive relationships and communications with partner organizations.

What you’ll be doing: Provide in-depth and insightful technical feedback on the quality of NDAS L2++/L3/L4 SW stack, based on the performance metrics proven through offline-replay and in-car testing. Identify the weak link of the L2++/L3/L4 SW stack and make it strong. Integrate, test and sign-off SW stack's code change and model update, and drive the Root-Cause-Corrective-Action (RCCA) process to continuously improve the quality of NDAS SW. Decompose a complicated cross-function problem into actionable items and coordinate a concerted effort among multiple collaborators. Join force with component team developers, when necessary, provide your domain expert input to a solution for hard problems, and produce production-quality code to component code base.

What we need to see: BS/MS in Electrical Engineering, Computer Science, or related fields or equivalent experience. 5+ years related experience in software development, with hands-on dev experience in AD for automotive. Great coding skills in modern C++ and scripting languages like Python. Deep understanding of L2++/L3/L4 product features in the market. Hands-on experience in debugging AD SW problems. Excellent communication and interpersonal skills with ability to strive in a cross-disciplinary environment.

Ways To Stand Out From The Crowd: Experience of working as a hands-on tech lead for one or more autonomous driving components. Hands-on development experience of an SOP-ed AD and/or ADAS product. Rich experience of in-car testing with great intuition of first-level triaging (from symptom to component). Familiar with CI/CD process, test automation, Jenkins, Log-Sim reply.

NVIDIA has some of the most forward-thinking and hardworking people in the world. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD.

You will also be eligible for equity and benefits.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other char

Various locations available

Adobe Researchers are developing the next generation of advanced technologies and user experiences, inventing a future where Adobe enables new forms of creativity, frees people from routine tasks, and allows enterprises to understand and act quickly on customer and business insights. Our research labs are actively published in leading journals and conferences, work with product teams on high profile features, and explore new product opportunities across various domains. We are especially interested in fostering ongoing collaborations that last beyond the internship and become part of your PhD thesis.

Adobe Research focuses on the following research areas: - Content Intelligence - AI & Machine Learning - Computer Graphics (2D&3D) - Data Intelligence - Computer Vision, Imaging & Video - Audio - Systems and Languages - Natural Language Processing - Human Computer Interaction - AR, VR & 360 Photography - Document Intelligence - Intelligent Agents & Assistants

What you will do

Under the direction of an Adobe Research mentor, you will: - Pursue a research problem to apply to Adobe’s products and with the possibility of academic publication - Develop new algorithms, run experiments, and produce demonstration prototypes - Document and present your work, both verbally and in writing

What you will need - Current PhD or master's student in computer science, or related field (exceptional undergraduates will also be considered) - Sufficient research skills and background in your chosen subject area - Strong communication skills and teamwork experience - Passion for solving real-world problems with web-scale data using and inventing innovative Machine Learning algorithms.

Shanghai

Our Research Summer Internship program will give you real insights into how data and research is used to improve global financial markets. Expand your knowledge of the financial markets and solve challenging problems that could impact the way we trade. Plus, if you’ve excelled over the summer and shown us your potential, you could receive an offer to join us as a graduate quantitative researcher. With Optiver’s internship program, your work improving the market starts today.

Who we are: Optiver is a global market maker founded in Amsterdam, with offices in London, Chicago, Austin, New York, Sydney, Shanghai, Hong Kong, Singapore, Taipei and Mumbai. Established in 1986, today we are a leading liquidity provider, with close to 2,000 employees in offices around the world, united in our commitment to improve the market through competitive pricing, execution and risk management. By providing liquidity on multiple exchanges across the world in various financial instruments we participate in the safeguarding of healthy and efficient markets. We provide liquidity to financial markets using our own capital, at our own risk, trading a wide range of products: listed derivatives, cash equities, ETFs, bonds and foreign currencies.

What you’ll do: As a Quantitative Research Intern, you’ll work with our researchers and traders on real-life research projects, that directly impact the way we trade. Our quantitative researchers are responsible for the accuracy of our core pricing models. They work closely with our traders to analyse and improve all facets of our trading strategies. As part of the internship, you’ll get to: • Perform extensive analysis in order to implement new algorithms that support and improve our existing models. • Develop risk management and portfolio optimisation tools to improve our execution algorithm. • Work with petabytes of low latency, high-frequency market data sets. • Collaborate with our developers to test and drive changes to our trading system, that will improve our ability to make successful trades. • Keep up to date on the latest development of new models and technologies • No previous experience in trading or financial markets? You bring the passion and we’ll have the training to support you along the way

Who you are: • PhD student, who will graduate during 2028. • Major in a highly quantitative field. • Strong knowledge of probability and statistics, experience in machine learning and time-series analysis is a big plus. • Programming experience in any language (C, C++, Python, JAVA, etc.), ideally with a preference towards Python. • Ability to carry a project on your own in a structured way within a short timeframe. • Experience in working with large datasets. • Both a self-motivated contributor and a team player, with an entrepreneurial attitude and hunger for success. • Interest in the trading/quantitative finance industry.

What you’ll get: • The chance to work alongside diverse and intelligent peers in a rewarding environment. • Competitive remuneration, including an attractive bonus structure and additional leave entitlements. • Training, mentorship and personal development opportunities. • Daily breakfast, lunch and snacks. • Gym membership, sports and leisure activities, plus weekly in-house chair massages. • Regular social events, clubs and Friday afternoon drinks.

How to apply: If you’re interested in taking your career to the next level and work on one of the most exciting trading floors in China mainland, apply now via the form below. While we love how bilingual our teams are, be sure to submit the below application materials in English: • Resume • Academic transcripts, including Bachelors and Masters and PhD if any

For any other inquiries, please email chinacareers@optiver.com.au.

Location USA, MA, North Reading

Description Amazon is looking for talented Postdoctoral Scientists to join the Research and AI Development team at Amazon Robotics for a one-year, full-time research position. This Postdoctoral Scientist will innovate in the areas of multi-agent planning and reinforcement learning for robotic systems. They will have the opportunity to address challenges related to the control and optimization of the world’s largest fleet of mobile robots under uncertainty, including policy learning for resource management in robotic storage systems.

At Amazon, we experiment and innovate relentlessly. Science is core in our offering to shoppers, advertisers and customers. Our scientists apply machine learning, optimization, causal modeling and game theory at scale to enhance the customer experience, help advertisers reach relevant audiences, and support brand building. We are seeking talented scientists to invent cutting-edge techniques in a variety of areas and innovate on behalf of shoppers, advertisers, and customers.

Global: United States, Europe and Asia

At Citadel, our mission is to be the most successful investment team in the world. Quantitative Researchers play a key role in this mission by developing next-generation models and trading approaches for a range of investment strategies. You’ll get to challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets, some of the most complex data sets in the world. As an intern, you’ll get to challenge the impossible in research through an 11 week program that will allow you to collaborate and connect with senior team members. In addition, you’ll get the opportunity to network and socialize with peers throughout the internship. Our signature internship program takes place June through August. Occasionally, we can be flexible to other times of the year. You will be able to indicate your timing preference in the application.

Location Seattle, WA, United States San Francisco, CA, United States

Description We are seeking a visionary leader to spearhead post training model research and development efforts. As the post training science lead, you will be responsible for driving the development and implementation of cutting-edge methodologies around improving model performance based on human feedback. You will lead a team of world-class scientists in exploring new frontiers of code generation for the most popular languages simplifying documentation, unit testing, optimizing existing code, explaining code and simplifying way users interact with the database systems enabling natural language interface. Responsibilities

Responsibilities

Research and Development: Conduct in-depth research on code generation techniques, including code to code (Java, SQL, Python, etc.), doc to code/code to doc, and other emerging approaches. Model Development: Design, develop, and train state-of-the-art code generation models that meet the highest quality standards. Team Leadership: Build and mentor a high-performing team of scientists and engineers. Collaboration: Work closely with cross-functional teams to integrate code generation capabilities into various applications and products. Innovation: Identify new opportunities for image generation and explore emerging technologies. Stay Updated: Maintain a deep understanding of industry trends and advancements in code generation.

Qualifications and Experience:

PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 5+ years relevant experience is preferred but not a must; OR Masters or Bachelor’s in related field with 8+ years relevant experience Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences. Extensive experience in image generation, computer vision, and deep learning Proven track record of leading research and development projects Strong understanding of machine learning algorithms and architectures Excellent problem-solving and analytical skills Strong leadership and communication abilities

If you are passionate about pushing the boundaries of image generation and have a proven track record of success, we encourage you to apply. Qualifications Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $120,100 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for sub