CVPR 2025 Career Opportunities

We are looking for a scientist happy to work in a multicultural and multi-disciplinary group, where junior and senior scientists collaborate, each with their expertise, to carry out a scientific activity with shared research goals.

The Artificial Intelligence for Good (AIGO) Research Unit is coordinated by Prof. Vittorio Murino. It focuses on fundamental AI topics from methodological and theoretical perspectives, yet functional to tackle a number of applications and actual case studies related to several domains such as biomedical, healthcare, and several others ultimately leading to people wellbeing. Specifically, AIGO aims at studying learning paradigms in presence of imperfect data, especially in multimodal scenarios, hence tackling unsupervised, semi-supervised and self-supervised settings, weakly or noisy labeled data, few, class imbalanced, or biased. Domain adaptation and generalization, few/zero-shot learning, learning with biased data, and continual learning, even extended to multimodal scenarios, are among the major areas to be investigated, also given their valence in tackling practical, real-world applications.

AIGO will also consider generative AI models, especially related to the most recent trend regarding multimodal foundation models, including large language models (LLMs) and vision and language models (VLMs).

Main applications will involve biomedical, biological, neuroscience, and healthcare in general. Brain investigation (and its diseases) is identified as the main (but not exclusive) area of interest. Ultimately, AIGO will seek to develop models that can also be readily applicable to IIT interdisciplinary research, ranging from neuroscience to robotics, in particular by leveraging our in-house robotics platforms (iCub, ErgoCub, R1 et al.), IIT neuroscience teams, and HPC computational facilities.

Within the research team, your main responsibilities will be:

• Pursue of research in some of the above-mentioned topics addressed by AIGO Research Line, at both individual and collaborative level. Interdisciplinarity research along IIT Flagship programs is also an important aspect in AIGO and in IIT in general;

• Supervision of the research activities of PhD students;

• Publications on major conferences and top journals;

• Search and preparation of funding opportunities, e.g., project proposals to apply to national and international grants, as well as to acquire funds from industrial partners.

Look the webpage for the essential requirements and additional skills, compensation package, and other info.

Deadline is July 31st, 2025.

Location of the work is Genova, Italy.

I'm at CVPR til Sunday June 15, feel free to contact me in case of interest!

Location

First and most importantly: our mission is to bring transparency and clarity to the world's data.

Our platform, FiftyOne, is where AI work happens. Our enterprise platform is the mission critical linchpin for managing unstructured data, model development, and AI systems at the world's largest companies, including dozens from the Fortune 500.

We believe that open source is the way to lead the data-centric AI revolution. Our open source version has 3 million downloads to-date.

Our software massively impacts AI work across almost every vertical: from self-driving cars to medical imaging to revolutionizing agriculture, we are at the thrilling center of real-world AI advancement’s next wave.

And we’re built on three key tenets:

• We are all human beings: we strive to be a “human-first” organization and treat everyone with the respect, care, and flexibility that all people deserve. 
• We are distributed: we believe in getting autonomy and power into the hands of people actually doing the work.
• We believe in the power of community.

Our fully distributed team is located across North America today.

About your role

As a Machine Learning Engineer here at Voxel51, you’ll collaborate with a team that delivers innovative features to support dataset curation, model analysis, and integrations that span the entire machine learning lifecycle, with a current emphasis on Visual AI. You’ll build powerful and extensible methods that users interact with via both API and no-code workflows, and you’ll solve unique challenges that arise when working with unstructured data (images,video, point-clouds, and meshes). Additionally, you will have the opportunity to contribute to a thriving open source community while also emphasizing enterprise-grade engineering for our commercial products.

Every member of our fully-remote team is empowered to own their work and play an active role in advancing our mission to democratize data-centric ML.

What you will do

• Push the boundaries of open-source data-centric AI with an emphasis on innovating new capabilities for our users to effectively work with unstructured datasets and building state of the models
• Scale data-centric AI approaches for the world’s largest enterprises to world scale, with billions of samples across continually learning models
• Work with UX designers and core software engineers to bring these state-of-the-art AI capabilities to life in production software ecosystems
• Play an active role in the discussion to inform company technical strategy as we build the software refinery that brings transparency and clarity to the world’s data

What you should bring

• 3+ years of professional software engineering experience developing ML products and software systems
• BS or MS in computer science or a related field
• Expertise with Python and a passion for elegant software
• Expertise with machine learning and scientific computing libraries (PyTorch, NumPy)
• Familiarity with NoSQL databases (MongoDB, DocumentDB, Elasticsearch)
• Experience maintaining or contributing to open source projects (or the passion to start!)
• Ability to work in a remote-first, cooperative environment using collaborative development tools (GitHub, Slack)
• Initiative and radical candor to constructively collaborate with your new teammates and our large user-base

The cash compensation for this person is in the $180K -$240K range. In addition to base comp for this role, we offer equity in the form of options, a variety of benefits, and the opportunity to grow in an exciting and collaborative environment.

Lecturer/ Senior Lecturer

The Department of Computer Science at the University of Bath invites applications for up to seven faculty positions at various ranks from candidates who are passionate about research and teaching in artificial intelligence and machine learning. These are permanent positions with no tenure process. The start date is flexible.

The University of Bath is based on an attractive, single-site campus that facilitates interdisciplinary research. It is located on the edge of the World Heritage City of Bath and offers the lifestyle advantages of working and living in one of the most beautiful areas in the United Kingdom. 

For more information and to apply, please visit: https://www.bath.ac.uk/campaigns/join-the-department-of-computer-science/

Location USA, WA, Seattle USA, VA, Arlington USA, NY, New York

Description Our team drives innovation for the onsite retail shopping site publisher. We collaborate and influence the advertising science community at Amazon across the entire Ads stack— sourcing and ranking ads, bidding into and pricing in the ads auction, experimentation design to measure causal impact of showing ads on shoppers and Amazon vendors, creative development with GenAI, and more. If you’re interested in joining a unique, highly respected advertising group with a relentless focus on the customer, you’ve come to the right place. As we continue building to out our team, we are looking for a Principal Applied Scientist, to lead research, design, experiment and implementation of cutting edge algorithms for complex Stores Display publisher use cases. You will collaborate with Amazon demand programs and front-end teams to influence how the entire advertising stack works end-to-end. You will work with business and finance teams to design experiments that inform tradeoffs across advertiser and shopper goals. You will work collaboratively with software engineers, data engineers, and other scientists on the team to deploy production algorithms that support the billions of ad auctions run daily and set a high bar for science and engineering excellence. This is a rare opportunity to be a foundational member with huge potential for impact and innovating new user experiences at Amazon.

Location USA, WA, Seattle

Description Amazon is building a world class advertising business and defining and delivering a collection of self-service performance advertising products that drive discovery and sales of merchandise. Our products are strategically important to our Retail and Marketplace businesses, driving long-term growth. Sponsored Products (SP) helps merchants, retail vendors, and brand owners grows incremental sales of their products sold on Amazon through native advertising. SP achieves this by using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus. We are a highly motivated, collaborative and fun-loving group with an entrepreneurial spirit and bias for action.

The Sr Manager, Global Growth is responsible for charting the vision, strategy and roadmap driving growth of Sponsored Products and Brands business in Global Marketplaces, working backward from shopper and advertiser wants, gaps and opportunities. This leader should have the science and technical depth to innovate new approaches within the ad workflow to improve ad utilization in global marketplaces, and the business acumen to map customer use-cases back to new features and initiatives. This role will directly manage a team of applied and data scientists, engineers and product managers, but also manage the roadmap of WW-focused teams. They will own and drive goals via experiments executed by engineers and scientists within their team and across WW-focused teams in the organization. Additionally, to perform effectively in this role, they will also need to closely partner and influence roadmap of WW-focused biz-ops, GTM, Sales, Finance and Stores product and tech teams.

Location USA, NY, New York City USA, WA, Seattle USA, CA, Palo Alto

Description Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.

The Ad Response Prediction team in the Sponsored Products organization builds GenAI-based shopper understanding and audience targeting systems, along with advanced deep-learning models for Click-through Rate (CTR) and Conversion Rate (CVR) predictions. We develop large-scale machine-learning (ML) pipelines and real-time serving infrastructure to match shoppers' intent with relevant ads across all devices, contexts, and marketplaces. Through precise estimation of shoppers' interactions with ads and their long-term value, we aim to drive optimal ad allocation and pricing, helping to deliver a relevant, engaging, and delightful advertising experience to Amazon shoppers. As our business grows and we undertake increasingly complex initiatives, we are looking for entrepreneurial, and self-driven science leaders to join our team.

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world. We are seeking a software engineering intern to join the Omniverse Replicator team to assist in cutting edge research aimed at accelerating how simulations are leveraged to train the next generation of robotics models. Our team's mission is to accelerate the development of autonomous systems and shape the future of robotics and AI.

What you’ll be doing:

• Develop and evaluate novel perception approaches from synthetic simulation on robotics tasks that optimize for learning performance and generalizability.
• Develop benchmarks to validate robot task performance and generalizability to novel scenarios and out-of-distribution events.
• Collaborate with research and engineering teams across NVIDIA such as GR00T and IsaacLab to integrate and validate novel approaches to robot training.

What we need to see:

• Pursuing a BS or MS in Computer Science or related field.
• Experience in software development with Python and the deep-learning software stack (Pytorch, Tensorflow, Jax, etc.).
• Background with reinforcement learning, imitation learning, sensor simulation and synthetic data generation.

Location RI, Carnegie Mellon University, Pittsburgh, USA

Description

Location USA, WA, Seattle USA, CA, San Francisco

Description Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll work alongside world-renowned AI pioneers to lead key initiatives in robotic intelligence. As a Principal Applied Scientist, you'll spearhead the development of breakthrough foundation models that enable robots to perceive, understand, and interact with the world in unprecedented ways. You'll drive technical excellence in areas such as perception, manipulation, science understanding, sim2real transfer, multi-modal foundation models, and multi-task learning, designing novel algorithms that bridge the gap between state-of-the-art research and real-world deployment at Amazon scale.

In this role, you'll combine hands-on technical work with scientific leadership, ensuring your team delivers robust solutions for dynamic real-world environments. You'll leverage Amazon's vast computational resources to tackle ambitious problems in areas like very large multi-modal robotic foundation models and efficient, promptable model architectures that can scale across diverse robotic applications.

Location USA, WA, Seattle USA, VA, Arlington USA, NY, New York USA, CA, Palo Alto

Description The Sponsored Products & Brands team is looking for a Sr. Principal Scientist to help our millions of shoppers intuitively navigate our vast inventory by harnessing the power of GenAI and large language models.

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, SPB helps merchants, retail vendors, and brand owners succeed via advertising, which grows the incremental sales of their products sold through Amazon. The SPB team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!

As a Senior Principal Scientist in Sponsored Products, you will have deep subject matter expertise in the area of large language models and generative AI across various modalities. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. You will invent new product experiences that enable our shoppers to easily navigate our vast inventory either via search queries, multi-turn conversations, or other modes of input. You will use your expertise to process shopper behavior and product catalog information to generate accurate shopper representations and use it to accurately predict shoppers propensity to engage with our products. You will have the opportunity to invent new approaches that help our advertisers achieve better performance using natural language as the interface. Your inputs will shape how our marketplace understands the shopper and advertiser context to present delightful discovery opportunities to our shoppers.

You will liaise with internal Amazon partners and work on bringing state-of-the-art LLM/GenAI models to production. You will stay abreast of the latest developments in the field of GenAI and identify opportunities to improve the efficiency and productivity of the team. You will define a long-term science vision for our advertising business, driven by our customer’s needs, and translate it into actionable plans for our team of of applied scientists, and engineers. Finally, you will work with academic partners to support our in-house talent with direct access to cutting edge research and mentoring.