Bala Cynwyd (Philadelphia Area), Pennsylvania United States

Overview At Susquehanna, we approach quantitative finance with a deep commitment to scientific rigor and innovation. Our research leverages vast and diverse datasets, applying cutting-edge machine learning at scale to uncover actionable insights—driving data-informed decisions from predictive modeling to strategic execution.

We are launching a 12–18 month fully funded faculty fellowship. This is a unique opportunity to pursue advanced machine learning research in a fast-paced, real-world environment—collaborating with teams at the frontier of quantitative trading.

What You'll Do

 • Conduct applied machine learning research using large-scale, real-world financial datasets

 • Develop novel modeling techniques and adapt state-of-the-art algorithms to unique challenges in quantitative finance

 • Collaborate with researchers and engineers to translate theoretical insights into production-scale systems.

 • Contribute to the design of robust, high-performance ML infrastructure

 • Explore research directions aligned with your interests, with flexibility in scope and duration

 • Evaluate ideas in an industrial setting, generating insights that may inform future academic or applied work

 • Help grow our research community by fostering collaboration and leveraging your network within the ML and academic ecosystems

What we're looking for • Exceptional faculty (tenured or tenure-track) with expertise in machine learning, deep learning, LLM, statistics, computer science, physics, applied mathematics, or related fields

 • Exceptional newly minted PhDs or postdocs developing a research agenda in machine learning, deep learning, LLM,  statistics, computer science, physics, applied mathematics, or related fields

 • A strong theoretical foundation in ML and a passion for solving practical, open-ended problems

 • Strong programming skills (Python preferred); experience with ML frameworks like PyTorch, TensorFlow or Jax

 • Intellectual curiosity, adaptability, and a collaborative mindset

Note: This fellowship is ideal for faculty seeking to broaden their applied research portfolio, explore new domains, or engage in sabbatical collaborations. The faculty fellowship is also appropriate for exceptional newly minted PhD and postdocs who want to develop a research agenda (involving, but not limited to, modeling, inference, and prediction tasks in complex systems), as they prepare to transition into a faculty position. While research outputs cannot be published due to the proprietary nature of our work, we aim for each faculty fellow to publish technical research papers collaboratively with their research hosts, to showcase some of the machine learning and AI innovations that they developed while in residence at Susquehanna.

Faculty Positions in Electrical and Electronics Engineering – Koç University, Istanbul, Türkiye

Koç University invites exceptional candidates to apply for full-time faculty positions in Electrical and Electronics Engineering. We seek outstanding researchers in all areas of electrical and electronics engineering, including artificial intelligence, machine learning, computational neuroscience, intelligent systems, and signal processing.

Applicants should have a bold, interdisciplinary research vision capable of making transformative impacts across multiple domains. Successful candidates will leverage Koç University’s state-of-the-art research ecosystem, including the Koç University İş Bank Artificial Intelligence Research Center (KUIS AI), the Translational Medicine Research Center (KUTTAM), and the Nanofabrication and Nanocharacterization Center (n2STAR). KUIS AI provides a high-performance computation facility and scholarship support for KUIS AI graduate fellows, fostering close collaboration between faculty and students.

Koç University is a leading private, nonprofit institution in Istanbul, supported by the Vehbi Koç Foundation, with English as the medium of instruction. It hosts the highest number of ERC grant recipients in Türkiye and offers exceptional opportunities for interdisciplinary collaboration across engineering, medicine, and natural sciences. We offer competitive salaries, housing support, K–12 education assistance, private health insurance, and research startup funds.

We will be attending NeurIPS 2025 — interested candidates are welcome to reach out and schedule an informal discussion during the conference at alperdogan@ku.edu.tr.

Application materials: CV, research statement, teaching statement, and three references. Deadline: March 20, 2026 (applications reviewed on a rolling basis). Apply at: https://ee.ku.edu.tr/open-positions/faculty-positions/

The Deep Learning for Precision Health Lab (www.montillolab.org ), a part of the Biodata Engineering Program of the Biomedical Engineering Department at the University of Texas Southwestern in Dallas, TX seeks a talented and motivated Computational Research Scientist to support large-scale multimodal neuroimaging and biomedical data analysis initiatives and to support advanced AI. The successful candidate will play a key role in curating and analyzing multimodal datasets, preparing resources for foundation model development, and supporting NIH-funded projects at the intersection of machine learning, medical image analysis, neuroscience, and oncology. This is a full-time, long-term staff scientist position focused on technical excellence, reproducible data management, and collaborative research in a dynamic academic environment. The successful candidate’s work will directly inform AI-driven discovery in neurological and oncologic diseases.

With cutting-edge computational infrastructure, access to leading neurology, neuroscience, and cancer experts, and an unparalleled trove of high-dimensional imaging and multi-omic data, our machine learning lab is poised for success in these research endeavors.

Primary Responsibilities

• Configure/develop and run existing foundation or large-scale deep learning models for benchmarking.
• Contribute to manuscript writing and code documentation.
• Curate and manage large neuroimaging & bioimaging datasets that include structural, diffusion, and functional MRI, dynamic PET, EEG, fluorescence microscopy, and multi-omic or clinical data drawn from NIH-supported consortia.
• Develop and maintain automated pipelines for data quality control and reproducibility.
• Clean and prepare datasets for downstream ML and deep-learning workflows.

Qualifications

• M.S. or Ph.D. in Computer Science, Biomedical Engineering, Electrical Engineering, Physics, Statistics, or a closely related computational field.
• Candidates must have extensive neuroimaging and biomedical image analysis experience.
• Candidates must have existing mastery of one or more mainstream DL frameworks (e.g., PyTorch, TensorFlow) and be able to explain intricacies of the DL models they have constructed.
• Experience running and managing batch jobs on SLURM or similar HPC systems.
• Preferred: familiarity with neuroimaging data formats (DICOM, NIfTI, HDF5, MP4, EEG) and web-scraping or data-discovery scripting.

Compensation and Appointment

• Term and Location: Full-time, On-site in Dallas, TX (5 days/week)
• Salary: Highly competitive and commensurate with experience.
• Work Authorization: Must be legally authorized to work in the U.S.
• Mentorship: Direct supervision by Dr. Albert Montillo with opportunities for co-authorship and professional growth in mentoring junior team members and leading publications.

For consideration:

Reach out for an in-person meeting in San Diego at NeurIPS 2025 (or virtually afterwards) via email to Albert.Montillo@UTSouthwestern.edu with the subject “ComputationalResearchScientist-Applicant-NeurIPS” and include: (1) CV, (2) contact information for 3 references, (3) up to three representative publications, and (4) your start window. Positions are open until filled; review begins immediately.

Global - United States, Europe, Asia

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.

Join Shopify's Machine Learning Post-Grad Internship: Lead the Next Wave of AI Innovation in E-commerce

At Shopify, we're not just building models; we're redefining the e-commerce landscape with AI. As a Masters/PhD Research Intern, you'll engage with petabyte-scale data, leveraging cutting-edge ML/AI methods to develop and deploy models that impact millions. You'll push boundaries using technologies like LLM post-training, reinforcement learning, and model quantization.

Pair your research with real-world problems and data:

Engage in research that ties to real-world problems today that impact our merchants and customers worldwide.

Collaborate and Deliver:

Work side by side with engineers, applied scientists, and other teams to work with you on your research experiments or prototypes with the idea to get your work into production in the longer term.

Create and Learn:

Solve tangible problems that require longer-term research that require you to design, build, and deploy models. Do this in production or as a proof of concept.

Share and Grow:

Stay up to date with the latest techniques, learn trade-offs between models and techniques IRL and share with others at Shopify to make everyone better.

About You:

• You're pursuing or have completed a Master’s or Doctorate in Computer Science, Computer Engineering, or a relevant technical field.
• Your research experience spans areas like Machine Learning, Search, NLP, Recommendation Systems, Pattern Recognition, Agents, LLM or Gen AI.
• You have hands-on experience with ML frameworks such as PyTorch, TensorFlow, or equivalent.
• You're adept at translating insights into business recommendations and have experience with systems software or algorithms.
• You have a proven track record of building and shipping high-quality, reliable work.
• You excel in programming languages like Python, R, or MATLAB and can independently identify, design, and complete medium to large features.
• You have demonstrated experience through internships, work, conferences, papers, coding competitions, or open-source contributions.
• You enjoy solving complex problems and comparing alternative solutions to determine the best path forward.

Our Internship Experience:

• Unique Matching Process: We pair you with teams where you'll thrive, aligned with both your skills and Shopify's needs.
• Flexible Work Environment: Post-onboarding, work in-office three days a week at your choice, coordinating with your Manager and Mentor for optimal team synergy.
• Legally Eligible: You must be authorized to work in Canada or the US for the internship duration. We don't offer immigration support for interns.
• Locations: Interns work from our offices in Bellevue, NYC, or Toronto. Relocation to the closest office is necessary if not already based there.

Application Essentials:

• Prepare Your Resume: Include it in your application.
• Complete All Application Questions: Ensure nothing is left unanswered.
• Engage with Assessments: If you advance, complete mandatory assessments to showcase your technical prowess.

Why Apply?

• Shape the future of e-commerce with cutting-edge AI solutions.
• Work in a dynamic, innovative environment that values creativity and experimentation.
• Enhance your skills with hands-on experience and professional growth opportunities.

Application timeline: Applications are open from Tuesday, December 2, 2025 - December 5, 2025.

At Shopify, we're not just offering internships; we're crafting the future. Join us, and let's build what's next.

Amsterdam

Flow Traders is committed to leveraging the most recent advances in machine learning, computer science, and AI to generate value in the financial markets. We are looking for Quantitative Researchers to join this challenge.

As a Quantitative Researcher at Flow Traders, you are an expert in mathematics and statistics. You are passionate about translating challenging problems into equations and models, and have the ability to optimize them using cutting-edge computational techniques. You collaborate with a global team of researchers and engineers to design, build, and optimize our next generation of models and trading strategies.

Are you at the top of your quantitative, modeling, and coding game, and excited by the prospect of demonstrating these skills in competitive live markets? Then this opportunity is for you.

Global

Description

Qualcomm is proud to be attending NeurIPS 2025 in our home city San Diego, California! Qualcomm is powering efficient AI from edge to cloud, conducting novel foundational, platform, and applied AI research to enable intelligent computing everywhere.

We're inviting all those who have a passion for AI and are interested in opportunities in generative AI, visual AI, computer vision, and foundational machine learning to please follow the steps below.

1. Go to our Qualcomm - NeurIPS home page.

2 .Register by clicking on the blue link. This allows us to identify your application as someone we met at NeurIPS.

1. Apply to any of the linked positions below. Make sure you REGISTER first before applying. Your resume will stand out.

New York

Software Developer: Generative AI Product Development

The D. E. Shaw group seeks exceptional software developers with expertise in generative AI (GAI) to join a small, fast-moving team building greenfield GAI products that directly transform how our teams operate. In this hands-on, entrepreneurial role you’ll partner with users across the firm to design, build, and deploy bespoke GAI solutions that drive efficiency, enhance analytical capabilities, and accelerate decision-making. This position offers the chance to lead projects from concept to production, and shape internal GAI strategy in a collaborative environment.

What you'll do day-to-day

You’ll join a dynamic team, with the potential to:

• Lead and contribute to greenfield projects, driving innovation and defining the future of GAI at the firm through full-cycle ownership, from exploration to deployment.
• Collaborate directly with internal groups and end users to build GAI applications tailored to nuanced, real-world business needs, and deliver solutions with immediate impact.
• Experiment with emerging AI tools and applications, rapidly prototyping and integrating them across platforms to enhance usability and effectiveness firmwide.
• Scale GAI tool adoption and improve integration with internal systems, with a focus on enabling seamless workflows and efficiency gains.

Who we're looking for

• An extensive background in software and product development and a solid understanding of GAI technologies, demonstrated through hands-on experience building and scaling AI solutions at the product or company level.
• Expertise in technical or entrepreneurial environments, with a record of solving complex challenges and taking projects from inception to deployment.
• We welcome outstanding candidates at all experience levels who are excited to work in a collegial, collaborative, and fast-paced environment.
• The expected annual base salary for this position is 200,000USD to 250,000USD. Our compensation and benefits package includes variable compensation in the form of a year-end bonus, guaranteed in the first year of hire, and benefits including medical and prescription drug coverage, 401(k) contribution matching, wellness reimbursement, family building benefits, and a charitable gift match program.

London

Description - Bloomberg’s Engineering AI department has 350+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.

At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.

Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.

We are looking for Senior AI Engineers with expertise and a passion for Information Retrieval, Search technologies, Natural Language Processing and Generative AI to join our AI Experiences team. Our teams are working on exciting initiatives such as:

-Developing and deploying robust Retrieval-Augmented Generation (RAG) systems, curating high-quality data for model training and evaluation, and building evaluation frameworks to enable rapid iteration and continuous improvement based on real-world user interactions. -Designing and implementing tools that enable LLM-powered search agents to effectively handle complex client queries, shaping Bloomberg's generative AI ecosystem, and scaling these innovative solutions to support thousands of users. -Leveraging both traditional ML approaches and Generative AI to prototype, build, and maintain high-performing, client-facing search and streaming applications that deliver timely and relevant financial insights. -Building robust APIs to facilitate search across diverse collections of data, ensuring highly relevant results and maintaining system stability and reliability.

You'll have the opportunity to: -Collaborate closely with cross-functional teams, including product managers and engineers, to integrate AI solutions into client facing products , enhance analytical capabilities and improve user experience. -Architect, develop, and deploy production-quality search systems powered by LLMs, emphasizing both ML innovation and solid software engineering practices. -Continuously identify areas for improvement within our search systems, proactively experiment with new ideas, and rapidly implement promising solutions—even when improvements rely purely on engineering without direct ML involvement. -Design, train, test, and iterate on models and algorithms while taking ownership of the entire lifecycle, from idea inception to robust deployment and operationalization. -Stay at the forefront of research in IR, NLP, and Generative AI, incorporating relevant innovations into practical, impactful solutions. -Represent Bloomberg at industry events, scientific conferences, and within open-source communities.

Location USA, WA, Seattle

Description As part of the AWS Applied AI Solutions organization, we're advancing the frontier of visual reasoning and agentic AI technologies. Our vision is to develop sophisticated AI systems that can understand, interpret, and reason about visual information at human-like levels, enabling breakthrough applications across multiple industries.

As a Principal Research Scientist, you'll drive research in visual reasoning and generative AI, defining novel research directions while ensuring impact through practical applications. Your day-to-day work will involve developing theoretical frameworks, conducting deep technical investigations, and validating complex hypotheses through rigorous experimentation. You'll mentor junior scientists in research methodology and experimental design while collaborating with cross-functional teams to translate research insights into scalable solutions.

Your expertise and guidance will be instrumental in shaping both the technical direction of our visual AI initiatives and the development of junior research talent on the team.