At Bending Spoons, we’re striving to build one of the all-time great companies. A company that serves a huge number of customers. A company where team members grow to their full potential. A company that functions at unparalleled levels of effectiveness and efficiency. A company that creates value for shareowners at an extraordinary rate. And a company that does so while adhering to high ethical standards.

To achieve this objective, we execute the following strategy: We acquire a digital business with untapped potential and make it as successful as we can by leveraging our platform—which comprises our expertise, technologies, data, brand, talents, and company culture. Then, we invest the proceeds into making our platform more powerful, and into acquiring new businesses. Thus, our strategy sees us combine an investor’s attention to capital allocation with the hands-on approach of an operator.

For a talented, driven, and collaborative individual, working at Bending Spoons is an opportunity to learn, make an impact, and progress their career at an exceptionally high rate. That’s our promise to such a candidate.

A few examples of your responsibilities

• Explore, evaluate, and optimize the latest AI models, bridging the gap between research and production.
• Team up with AI software engineers to implement models in production and in designing state-of-the-art internal tools and technologies.
• Help elevate the research codebase by promoting code reuse, best practices, and reproducibility.
• Manage large datasets, overseeing acquisition, labeling, and data loaders.
• Keep up with the latest advances in the field and share findings with teammates.
• Work closely with Product teams to understand their AI needs and achieve breakthrough results.

What we look for

• Reasoning ability. Given the necessary knowledge, you can solve complex problems. You think from first principles, and structure your ideas sharply. You resist the influence of biases. You identify and take care of the details that matter.
• Drive. You’re extremely ambitious in everything you do—and your initiative, effort, and tenacity match the intensity of your ambition. You feel deeply responsible for your work. You hold yourself to a high—and rising—bar.
• Team spirit. You give generously and without the expectation of receiving in return. You support the best idea, not your idea. You're always happy to get your hands dirty to help your team. You’re reliable, honest, and transparent.
• Proficiency in English. You read, write, and speak proficiently in English.

What we offer

• Incredibly talented, entrepreneurial teams. You’ll work in small, result-oriented, autonomous teams alongside some of the brightest people in your field.
• An exceptional opportunity for growth. We go to great lengths to hire individuals of outstanding potential—then, our priority is to put them in the ideal position to thrive. Spooners in their 20s lead products worth hundreds of millions of dollars. And if you’ve got what it takes, you’ll soon be playing an essential role in major projects, too.
• Competitive pay and access to equity in the company. Typically, we offer an individual at the start of their career a salary of €63,965. If they possess a few years of relevant experience, the salary on offer tends to be between €105,737 and €143,330. Pay grows rapidly as you accumulate experience and translate it into greater impact. You can also receive some of your pay in company equity at a discounted price, thus participating in the value creation we achieve together. If relocating to Italy, you may enjoy a 50% tax cut.
• All. These. Benefits. Flexible hours, remote working, unlimited backing for learning and training, top-of-the-market health insurance, a rich relocation package, generous parental support, and a yearly retreat to a stunning location. We help each Spooner set up the conditions to do their best work.

Czech Institute of Informatics, Robotics and Cybernetics, Czech Technical University in Prague

** Open Postdoc Position: Mapping a Changing World using Diverse Sensors **

3D maps are essential sources of information for promising technologies such as Augmented Reality-based assistants and autonomous robots such as self-driving cars and drones. Building 3D maps from sensors such as cameras, lidar, depth sensors, etc. is a well-studied problem for states scenes. However, our world is dynamic and changes over time, e.g., seasons have a significant impact on the geometry and appearance of outdoor scenes, while humans constantly alter their environments by interacting with them. Modeling such changes in 3D maps is a much less studied and far-from-being-solved problem.

The goal of this postdoc project is to develop and implement strategies for mapping dynamic scenes from a wide range of sensors. The developed strategies will be evaluated on standard benchmark datasets and in real-world applications. The postdoc will closely work with PhD students in the group working on this problem and is expected to supervise Master theses.

The position is at the Czech Institute of Informatics, Robotics and Cybernetics at the Czech Technical University in Prague, Czech Republic. The position is fully funded and you will be working with Torsten Sattler and his team. The postdoc is expected to either be already located in Prague or to move to Prague for the studies.

** Requirements: ** - Recent PhD in Computer Science, Informatics, etc. - Strong background in either (3D) computer vision (with knowledge of Structure-from-Motion, local feature matching, camera geometry estimation) or machine learning for (3D) computer vision. - At least one first-author publication in one of the top computer vision (CVPR, ECCV, ICCV) or machine learning (NeurIPS, ICLR, ICML) conferences or top computer vision journals (TPAMI, IJCV). - Programming experience in Python and / or C++

** Application process: ** Please contact Torsten Sattler (torsten.sattler@cvut.cz) and provide the following: - Up-to-date CV - Names and emails of two to three references

Location Cornell in New York City

Description

We are seeking multiple postdoctoral researchers in artificial intelligence with a focus on medical imaging to join our team, led by Prof. Mert Sabuncu at Cornell in New York City.

If you have (or are about to earn) a PhD in Computer Science or Engineering and a solid research background in machine learning and computer vision applied to medical image analysis—like classification, segmentation, or registration—please send your CV to hkim@med.cornell.edu.

The initial appointment will be for one year, with the potential for renewal for up to three years, contingent upon performance and funding availability. Positions are available immediately.

Preferred qualifications include multiple first-authored papers published in venues such as MICCAI, MIDL, CVPR, ICCV, IEEE Transactions on Medical Imaging, Medical Image Analysis, or MELBA. Having US citizenship or residency is a plus for one of the funded positions.

Please include [POSTDOC OPPORTUNITY] and your name in the subject line of your email.

Join Our Cutting-Edge Computer Vision Research Team!

Are you passionate about computer vision and eager to make a significant impact in the field? We are looking for 1-3 talented postdoctoral researchers to join our dynamic Division of Computer Vision.

Why Join Us? Innovative Research: Work on ground-breaking projects in 3D geometry, 3D motion, remote sensing, visual learning theory, and visual perception.

Collaborative Environment: Be part of a vibrant team with five faculty members, five researchers, sixteen PhD students, and several adjunct researchers.

Career Growth: Supervise PhD students, contribute to international research projects, and own the rights to your research results.

Your Role: Conduct independent research within your specialized unit. Collaborate with experts in various fields to drive innovation. Teach and mentor the next generation of researchers.

Qualifications: A doctoral degree in computer science, engineering, or a related field. Strong mathematical skills and experience in machine learning, programming, and visual data analysis. Excellent communication skills in English.

About Us:
Our division is recognized as one of Sweden's top research environments, with ongoing projects in WASP (https://wasp-sweden.org/), ELLIIT (https://elliit.se/), and LiU's profile area VDF. Join us and be part of a team that is shaping the future of computer vision!

For more information about the role and how to apply, see our website https://liu.se/en/work-at-liu/vacancies/25319. Your application must be received no later than December 1, 2024.

PhD Position at Inria, Grenoble Alpes (3 years)

Collaboration between Inria team THOTH and the multidisciplinary institute in artificial intelligence (MIAI) in Grenoble

Research activities in MIAI aim to cover all aspects of AI and applications of AI with a current focus on embedded and hardware architectures for AI, learning and reasoning, perception and interaction, AI & society, AI for health, AI for environment & energy, and AI for industry 4.0.

The close connection to University of Grenoble Alpes offers additionally many oportunities for collaboration, further training and networking within and cross research fields.

Description

The PhD research will focus on developing approaches for context-dependent motion generation. Our goal is to integrate concepts from generative modeling and representation learning, specifically using conditional variational autoencoders (VAEs). VAEs are known for learning compact representations of input data. Previous work has explored methods to modulate these learned representations [1,2], enabling the generation of context-aware outputs. The potential applications of this research are diverse. We will develop these methods with a particular emphasis on synthesizing robot manipulation strategies and facilitating human-robot handover tasks.

Contact

pia.bideau@inria.fr The thesis will be jointly supervised by Pia Bideau (THOTH), Karteek Alahari (THOTH) and Xavier Alameda Pineda (RobotLearn).

Please apply with the typical application documents: CV, certificates (MSc degree), research statement and two references. We will screen applications on a rolling basis. The position will be filled as soon as a suitable candidate is found.

References

[1] Halawa, M., Hellwich, O., & Bideau, P. (2022, October). Action-based contrastive learning for trajectory prediction. In European Conference on Computer Vision (ECCV) (pp. 143-159). Cham: Springer Nature Switzerland.

[2] Blume, F., Qu, R., Bideau, P., Maier, M., Rahman, R. A., & Hellwich, O. (2024). How Do You Perceive My Face? Recognizing Facial Expressions in Multi-Modal Context by Modeling Mental Representations. arXiv preprint arXiv:2409.02566.

Primary Work Address: 19700 Helix Drive, Ashburn, VA, 20147

Please note: We are hiring multiple AI Scientists and are open to various levels of experience.

Intro:

AI@HHMI: HHMI is investing $500 million over the next 10 years to support AI-driven projects and to embed AI systems throughout every stage of the scientific process in labs across HHMI. The AI initiative will be centered at HHMI’s Janelia Research Campus. Janelia has been at the forefront of AI-driven research in biology for more than 15 years. Its forward-thinking structure, centralized funding, and collaborative culture make it ideally suited to take this bold leap forward. To learn more about the initiative, visit here.

About the Role:

The Artificial Intelligence (AI) Scientist is an outstanding independent scientist who develops, implements, and executes innovative AI-based research projects in the pursuit of biological discoveries or the generation of new research tools. AI Scientists create, lead, or participate in research projects of highly variable scale, ranging from individual work to HHMI-wide strategic initiatives. The AI Scientist will work closely with scientists from across the broader HHMI community. They participate in, build, or supervise highly collaborative research teams consisting of other scientists, engineers, and technicians. We are hiring multiple AI Scientists and are open to various levels of experience.

Pay:

In addition to the base salary described below, this position may also be eligible for incentive pay.

AI Scientist I: 5+ years’ experience - $182,160.80 (minimum)- $227,701.00 (midpoint) - $296,011.30 (maximum)

AI Scientist II: 10+ years’ experience - $213,564.00 (minimum) - $266,955.00 (midpoint) - $347,041.40 (maximum)

AI Scientist III: 15+ years’ experience including program/project management experience - $245,145.60 (minimum) - $306,432.00 (midpoint) - $450,000.00 (maximum)

Pay Type: Annual

HHMI’s salary structure is developed based on relevant market data. HHMI considers a candidate’s education, previous experience, knowledge, skills and abilities, as well as internal equity when making job offers. Typically, a new hire for this position in this location is compensated between the minimum and midpoint. Your recruiter can share more about the specific pay range during the recruitment process.

Learn more about the role and apply through the HHMI Careers Page.

Czech Institute of Informatics, Robotics and Cybernetics, Czech Technical University in Prague

** Open PhD Position: Robust and Reliable Visual Localization in a Changing World **

Imagine taking a picture anywhere in the world and instantaneously knowing where you are. Not only is this an intuitive way to obtain information about your surrounding via an Augmented Reality-based assistant, but is also a core competency for autonomous robots. In addition, knowing where you are is essential for 3D reconstruction of scenes, which in turn enables creating massive amounts of 3D data for generative AI and foundation models.

Visual localization is the technology enabling accurately placing a photo in the world. Existing algorithms enable precise localization in static scenes. However, our world is not static, but constantly changing: Day-night changes drastically alter the visual appearance of a scene, while seasonal changes alter most the visual appearance and the scene geometry. State-of-the-art visual localization algorithms struggle in changing conditions. The goal of this PhD project is to develop robust and reliable visual localization approaches that can handle the fact that our world is constantly changing. One potential direction of research is to integrate higher-level scene understanding into the localization process.

The PhD position is at the Czech Institute of Informatics, Robotics and Cybernetics at the Czech Technical University in Prague, Czech Republic. The position is fully funded and you will be working with Torsten Sattler and his team. The PhD student is expected to either be already located in Prague or to move to Prague for the studies.

Requirements: - MSc in Computer Science, Informatics, etc. - Strong background in either (3D) computer vision (with knowledge of Structure-from-Motion, local feature matching, camera geometry estimation) or machine learning for (3D) computer vision. - Programming experience in Python and / or C++

Application process: Please contact Torsten Sattler (torsten.sattler@cvut.cz) and provide the following: - Up-to-date CV - Transcripts of your Bachelor and Master studies - Names and emails of up to two references

Paris, France

Télécom Paris (a university) is looking for a new Lecturer specialized in Deep Learning for Multimodal Data for the Images, Data and Signal (IDS) department at Télécom Paris. As a member of a dynamic team, you will contribute to research and teaching in a stimulating and innovative environment.

Your main missions will be to : - Participate in cutting-edge research projects in deep learning applied to multimodal data - Teach and mentor students in the field of deep learning and multimedia technologies - Collaborate with researchers and industry professionals to develop innovative solutions - Contribute to the publication of scientific articles and the dissemination of research results

Job requirements

The ideal candidate will hold a PhD in computer vision, machine learning or signal processing, with an excellent publication record and solid international experience. He/she will demonstrate competence in deep learning for multimodal data, computer vision and video processing. Qualities such as team spirit, autonomy, motivation, as well as the ability to secure funding and advise theses are essential. Fluency in English is required, while knowledge of French is not mandatory. Experience in university teaching is desirable. Additional skills in probabilistic models, statistical image/video processing and continuous learning will be appreciated.

Hong Kong / Shanghai

OpenDriveLab at HKU and AI Lab (opendrivelab.com) focuses on Autonomous Driving, Embodied AI, and Foundation Models. Our aim is primarily to publish impactful works in top-tier conferences and journals. To internationals: The application process is identical to domestic recruitment. We treat all applicants equally regardless of race, region, beliefs, and other factors.

Our Works

• Planning-oriented Autonomous Driving (CVPR 2023 Best Paper Award)
• Learning Manipulation by Predicting Interaction (RSS 2024)
• Generalized Predictive Model for Autonomous Driving (CVPR 2024 Highlight)

Prospective Members

• Background knowledge in computer science, machine learning, robotics, physics, mathematics, or related fields
• Solid academic background and achievements
• Strong research experience with publications in top-tier conferences (CVPR / RSS / etc.) or journals (T-PAMI / IJRR / etc.)
• Excellent programming (python / C / etc.) and English skills
• Familiarity with tools such as PyTorch, OpenCV, ROS, Git, etc.
• Full commitment to research, capable of quickly learning from new fields
• Passion for impactful outputs, self-motivative, responsible, reliable, and with good communication skills

Our Support

• Access to advanced research resources like high-performance GPUs and robotic facilities
• Hands-on mentorship with clear direction
• Collaboration with other top researchers worldwide
• Excellent work atmosphere

Open Positions

Ph.D. student / Master student / Postdoc / Research assistant / Full-time employee / Intern

Contact

If you’re interested, please drop us an email at contact@opendrivelab.com or Dr. Hongyang Li (hongyang@hku.hk) with the following information: - Subject: [Ph.D./Postdoc/RA/etc. Application] Name - Affiliation - Curriculum vitae