London

Flow Traders is looking for a Senior Research Engineer to join our Hong Kong office. This is a unique opportunity to join a leading proprietary trading firm with an entrepreneurial and innovative culture at the heart of its business. We value quick-witted, creative minds and challenge them to make full use of their capacities.

As a Senior Research Engineer, you will be responsible for helping to lead the development of our trading model research framework and using it to conduct research to develop models for trading in production. You'll expand the framework to become global standard way of training, consuming, combining, and transforming any data source in a data-driven systematic way. You will then partner with Quantitative Researchers to build the trading models themselves.

What You Will Do

• Help to lead the development and global rollout of our research framework for defining and training models through various optimization procedures (supervised learning, backtesting etc.), as well as its integration with our platform for deploying and running those models in production
• Partner with Quantitative Researchers to conduct research: test hypotheses and tune/develop data-driven systematic trading strategies and alpha signals

What You Need to Succeed

• Advanced degree (Master's or PhD) in Machine Learning, Statistics, Physics, Computer Science or similar
• 8+ years of hands-on experience MLOps, Research Engineering, or ML Research
• A strong background in mathematics and statistics
• Strong proficiency in programming languages such as Python, with experience in libraries like numpy, pytorch, polars, pandas, and ray.
• Demonstrated experience in designing and implementing end-to-end machine learning pipelines, including data preprocessing, model training, deployment, and monitoring
• Understanding of and experience with modern software development practices and tools (e.g. Agile, version control, automated testing, CI/CD, observability)
• Understanding of cloud platforms (e. g., AWS, Azure, GCP) and containerization technologies (e. g., Docker, Kubernetes)

USA – Austin, Seattle

Job Overview

At Arm, we’re enabling the next wave of AI innovation - from cloud to edge, data center to device. Our AI Product Managers play a pivotal role in turning cutting-edge research and engineering into real-world solutions that scale across billions of devices. As part of a globally trusted ecosystem, you’ll define and shape products that power the future of intelligent, energy-efficient computing.

We’re looking for AI-focused Product Managers who thrive at the intersection of technology, strategy, and customer need - individuals who can align market trends with technical innovation, and help bring transformative AI products to life.

Responsibilities

As an AI Product Manager at Arm, your role may include: Defining and owning product roadmaps for AI/ML software, hardware, tools, or platforms Identifying emerging AI market opportunities and customer needs across domains Working closely with engineering, research, and design teams to guide product development Collaborating with business development and partner teams to support go-to-market strategy Ensuring delivery of impactful, scalable solutions aligned with Arm’s long-term vision

Required Skills and Experience

Demonstrated experience in product management, technical program management, or product strategy Familiarity with AI/ML technologies, platforms, or development workflows Strong ability to synthesize market trends, customer feedback, and technical input into clear product direction Excellent cross-functional collaboration and communication skills Ability to work across a range of stakeholders - from engineers to executives A strategic mindset with a drive to build products that solve real problems at scale

“Nice to Have” Skills and Experience

Experience with AI deployment in edge, embedded, cloud, or mobile environments Exposure to AI frameworks (e.g., TensorFlow, PyTorch), ML compilers, or hardware accelerators Background in developer tooling, ML model optimization, or platform product management Prior involvement in launching or scaling AI or infrastructure products

Location: Perth, Australia

Research Associate

Job Reference: 521359
Employment Type: Full Time (Fixed Term, 2 Years)
Categories: Arts, Business, Education, Law

Remuneration

Base salary: Level A, $83,499–$112,371 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 design, test, and refine computer vision models for traffic video analytics, including detection, tracking, segmentation, and post-processing tasks. You will prepare and manage datasets, benchmark emerging frameworks, and contribute to deployment testing and optimisation across varied environments. Working within a small team, you will document findings, produce technical outputs, and contribute to research that influences road safety and transport planning.

Selection Criteria

Essential:

• Tertiary degree in Computer Science, Applied Mathematics/Statistics, Robotics, Physics or related discipline, with excellent academic record
• Strong foundations in applied mathematics, computer vision and machine learning, particularly object detection and tracking
• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and Python ML libraries (e.g., NumPy, OpenCV, scikit-learn)
• Experience with dataset preparation, training pipelines, and evaluation methods
• Ability to work independently and collaboratively in a research team

Further Information

Position Description: PD [Research Associate] [521359].pdf

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

New York

As a Data Scientist, you will analyze complex datasets, build predictive models, and generate insights that drive strategic decisions. You’ll partner with engineers, researchers, and business leaders to turn data into actionable outcomes. Opportunities may be available from time to time in any location in which the business is based for suitable candidates. If you are interested in a career with Citadel, please share your details and we will contact you if there is a vacancy available.

AI Scientist

The Role

This AI Scientist position will drive the development and optimization of Aizen's generative AI-based peptide drug discovery platform, DaX™. You will be responsible for incorporating state-of-the-art neural network architectures and high-performance computational biology software to improve the accuracy and throughput of our drug discovery efforts. Your work will be critical in translating experimental data and scientific insights into scalable, robust models.

Our Ideal Candidate

You are passionate about the company’s mission and a self-starter with an inextinguishable fire to compete and succeed. You thrive in an environment that requires crisp judgment, pragmatic decision-making, rapid course-corrections, and comfort with market ambiguity. You discharge your duties within a culture of mutual team respect, high performance, humility, and humor.

Key Responsibilities

• Incorporate state-of-the-art neural network architectures and training methods to improve accuracy and throughput of DaX™, Aizen's generative AI-based peptide drug discovery platform.
• Develop, test, deploy, and maintain high-performance computational biology software according to the needs and feedback of experimentalists at Aizen.
• Orchestrate new and existing Aizen software tools into scalable, highly-available, and easy-to-use cloud pipelines.
• Work closely with experimental scientists at Aizen to manage storage and access of Aizen's experimental data.

Candidate Skills and Experience

• Ph.D. and/or postdoctoral studies in Computer Science, Computational Biology, Bioinformatics, or a related field.
• Deep, demonstrated expertise in advanced Generative Models (e.g., Flow Matching, Diffusion Models) for de novo design in discrete and continuous spaces.
• Experience integrating and leveraging data from physics-based simulations (e.g., Molecular Dynamics) into machine learning models.
• Experience collecting, sanitizing, and training on biological property datasets, with a preference for prior experience with peptides.
• Proficiency with Python, shell scripting, and a high-performance compiled language.
• Entrepreneurial spirit, self-starter with proper balance of scientific creativity and disciplined execution.
• Preferred: Experience designing and maintaining high-availability cloud architectures for hosting high-performance biological analysis software.
• Preferred: Experience in chemical featurization, representation, and model application for peptide chemistry, non-canonical amino acids (NCAAs), and complex peptide macrocycles.
• Preferred: Experience in protein/peptide folding dynamics, protein structural analysis, and resultant data integration to improve computation/design.

About Aizen

Aizen is an AI-driven biotechnology company pioneering Mirror Peptides, a novel class of biologic medicines. Mirror Peptides are synthetic, fully D-amino acid peptides that represent a vast, unexplored therapeutic chemical space. Backed by life science venture capital and based in the biotech hub of San Diego, CA.

Location & Compensation

• Reporting: Principal AI Scientist
• Location: This position offers fully remote work with monthly/quarterly trips to company facilities in California.
• Compensation: Competitive base salary, stock options, and a benefits package including medical coverage.

Contact

To apply, please contact us at jobs@aizentx.com.

An equal opportunity employer V1

New. York, NY

Applications are invited for postdoctoral Flatiron Research Fellowships (FRFs) at the Center for Computational Mathematics (CCM) in the Flatiron Institute. FRF positions are initially two-year appointments, renewable for a third year contingent on performance. Fellows will be based, and have a principal office or workspace, at the Simons Foundation’s offices in New York City. Fellows may also be eligible for subsidized housing within walking distance of the Flatiron Institute. The start date is between July and October 2026.

To apply and for more details: https://apply.interfolio.com/173401

Bala Cynwyd (Philadelphia Area), Pennsylvania United States & New York, New York United States

Overview Susquehanna is expanding the Machine Learning group and seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural language understanding, and more. Your work will directly influence our trading strategies and decision-making processes.

This is a unique opportunity to work at the intersection of cutting-edge research and real-world impact, leveraging one of the highest-quality financial datasets in the industry.

What You’ll Do

 • Conduct research and develop ML models to enhance trading strategies, with a focus on deep learning and scalable deployment

 • Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches

 • Design and run experiments using the latest ML tools and frameworks

 • Develop automation tools to streamline research and system development

 • Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior

 • Partner with engineering teams to implement and test models in production environments

What we're looking for We’re looking for research scientists with a proven track record of applying deep learning to solve complex, high-impact problems. The ideal candidate will have a strong grasp of diverse machine learning techniques and a passion for experimenting with model architectures, feature engineering, and hyperparameter tuning to produce resilient and high-performing models.

 • PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field

 • Strong track record of applying ML in academic or industry settings, with 5+ years of experience building impactful deep learning systems

 • A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR

 • Strong programming skills in Python and/or C++

 • Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments

 • Hands-on experience applying deep learning on time series data

 • Strong foundation in mathematics, statistics, and algorithm design

 • Excellent problem-solving skills with a creative, research-driven mindset

 • Demonstrated ability to work collaboratively in team-oriented environments

 • A passion for solving complex problems and a drive to innovate in a fast-paced, competitive environment

Why Join Us?

 • Collaborate with a world-class team of researchers, engineers, and traders

 • Gain access to best-in-class financial data and high-performance computing resources

 • Directly impact real-time trading performance through your work

 • Thrive in a collaborative, intellectually rigorous environment with a global footprint

The annual base pay for this role is $300,000. Susquehanna considers factors such as scope and responsibilities of the position, work experience, education/training, key skills, as well as market and organizational considerations when extending an offer.

Visa sponsorship is available for this position.

AI Scientist - Formal methods for science

Position overview:

As an AI Research Scientist with focus on formal methods for science, you will join a focused team, playing a key role in building new formal verification tools for science and engineering. Your responsibilities will include developing AI tools that will enable the systematic adoption of formal methods in quantitative scientific fields such as physics and engineering. You will also manage data curation, conduct benchmarking to evaluate performance, analyze reasoning flaws and propose solutions. Close collaboration with our dedicated cross-functional team - consisting of Mathematicians, AI Engineers, Software Engineers, Lean4 developers, Physicists and AI scientists - will be essential to the success of the project.

Your mission:

• Project contribution and technical execution: Play an active role in designing and developing autoformalization and validation strategies specifically tailored for scientific applications.

• Solution design & implementation: Engage in hands-on development to drive shorter-term impactful solutions in collaboration with our Business Development team. Propose, discuss, and implement technical solutions that address complex challenges, ensuring they are are well-structured, efficient, and aligned with industry best practices.

• Innovation & continuous learning: Stay updated with state-of-the-art techniques and advancements in the field. Continuously integrate the latest research and technologies to enhance the products’ impact.

• Cross-team collaboration: Work closely with AI and development teams to ensure seamless integration of solutions. Promote open communication and cooperation to enhance productivity and technical excellence.

• Knowledge sharing and developing the team: Foster a collaborative culture by actively sharing knowledge, insights, and best practices. Encourage teamwork and continuous learning to strengthen overall expertise within the company.

Key requirements:

• PhD in Computer Science, Artificial Intelligence, Physics, Machine Learning for scientific applications or related fields.
• Experience in applications of machine learning to relevant projects
• Proficient in Python, with the ability to write clean and efficient code
• Experienced with agentic AI and major deep learning framework
• Solid understanding of statistics and probability

About you:

• You excel as a team player, thriving in multidisciplinary and multicultural environments.
• You are highly motivated, hard-working, and committed to personal and professional growth through constant learning, new challenges and advancements.
• You quickly grasp new concepts and technologies, adapting efficiently to evolving requirements.
• You have a real passion for science and maths, and have a deep curiosity for understanding concepts from first principles.
• You like to try new technologies and quickly build exploratory prototypes.
• You thrive in a dynamic, fast-paced environment, embracing change with a proactive and solution-oriented approach.

Nice to have:

• Background in Physics, Engineering or other related computational science.
• Publications relevant to the company domain at top-tier conferences.
• Internship or work experience in one top AI company.
• Strong experience in at least one of the following: reinforcement learning, representation learning, program synthesis, NLP, graph machine learning, knowledge graphs, applied machine learning and data mining, optimization, machine learning for theorem proving, agentic LLMs and RAG, machine learning for science
• Proven contribution to open source projects.

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.

Salesforce Research is looking for outstanding research interns. Ideal candidates have a strong background in one or more of the following fields:

Conversational AI Multimodal Data Intelligence Multimodal Content Generation Fundamentals of Machine Learning and AI Responsible & Trusted AI Natural Language Processing Areas of Application:

Software Intelligence AI for Operations AI for Availability & Security Environment & Sustainability Candidates that have published in top-tier conferences or journals (e.g. NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR,) are preferred. As a research intern, you will:

Work with a team of research scientists and engineers on a project that ideally leads to a submission to a top-tier conference

Learn about exciting research and applications outside your expertise

Focus on pure research that incorporates into your PhD focus area and contributes to the AI Community

Attend conferences with our researchers to showcase your accepted papers

Requirements:

PhD candidate in a relevant research area Excellent understanding of deep learning techniques, i.e., CNN, RNN, LSTM, GRU, GAN, attention models, and optimization methods Experience with one or more deep learning libraries and platforms, e.g. PyTorch, TensorFlow, Caffe, or Chainer Strong background in machine learning, natural language processing, computer vision, or reinforcement learning Strong algorithmic problem solving skills Programming experience in Python, Java, C/C++, Lua, or a similar language This internship is a minimum of 12 weeks