San Francisco

WRITER is looking for an AI engineer with a strong software engineering background to join our expanding team of AI experts.

At WRITER, we believe in using the power of AI to unlock the potential of the enterprise. With the help of our AI engineers, we can continue to build the most advanced language model available in the industry and revolutionize how companies interact with AI. We’re looking for a creative problem solver who has a deep understanding of NLP and ML technologies and who can help us create powerful and meaningful applications of AI.

As an AI engineer at WRITER, you'll play a pivotal role in developing and implementing state-of-the-art generative AI models and algorithms. Collaborating closely with our diverse and dynamic team of software engineers, data scientists, and researchers, you'll be able to design and deploy AI solutions that drive our innovative products.

If you’re passionate about using AI to transform the enterprise, we want to hear from you.

Your responsibilities

• Collaborate closely with our broader engineering team, data scientists, and AI engineers to evolve our software architecture as we productize new AI-powered capabilities
• Evaluate the performance of AI models & systems through rigorous testing and experimentation.
• Deploy LLM-based applications in production, evaluating and improving their performance over time
• Collaborate with our skilled software engineers to seamlessly integrate AI-powered capabilities into production systems, ensuring scalability and efficiency.
• Stay up-to-date with the latest advancements in AI and machine learning research, and proactively suggest improvements to enhance our generative AI capabilities.
• Collaborate closely with cross-functional teams to understand business requirements and translate them into innovative AI solutions.
• Own the design, implementation, and maintenance of robust and scalable production retrieval and agentic systems
• Implement strong testing and CI/CD practices that help us move with confidence in our AI system development

Is this you?

• Bachelor’s degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience
• High level of coding proficiency using Python
• 5+ years of professional experience in software engineering, AI/ML development including:
• Proficiency with production software (Python) and systems design
• Machine learning algorithms and model development techniques
• ML lifecycle tools like MLflow, dvc, weights & biases
• Cloud deployment of ML systems
• Professional experience with LLMs and large-scale models
• Very strong software engineering skills with a track record of building scalable, distributed product machine learning systems
• Strong analytical and problem-solving skills
• Ability to communicate complex ideas and concepts effectively
• Ability to work independently and collaboratively

Various locations available

Adobe seeks a Machine Learning Engineer to enhance customer experiences through AI and generative technologies. This is an exciting internship opportunity inside Adobe Firefly’s applied research organization. You will be surrounded by amazing talents who build the Firefly family of models from research inception all the way to production. We offer internship roles situated at different stages of the development pipeline from fundamental research to advanced development to production engineering directly shaping the training and integration of Firefly production models. Your role will center on pioneering data, models, applications and scientific evaluation that shape the future of technology in the realms of images, videos, language and multimodal models. Join us in reshaping the future of technology and customer experiences at Adobe!

What You’ll Do

• Work towards results-oriented research goals, while identifying intermediate achievements.
• Contribute to research and advanced development that can be applied to Adobe product development.
• Help integrating novel research work into Adobe Firefly product.
• Lead and collaborate on projects across different teams.

What You Need to Succeed

• Currently enrolled full time and pursuing a Master's or PhD in Computer Science, Computer Engineering, Electrical Engineer or related fields.
• 1 + years of experience in computer vision, natural language processing or machine learning
• Some experience in Generative AI
• Experience communicating research to public audiences of peers.
• Experience working in teams.
• Knowledge in Python and typical machine learning development toolkits.
• Ability to participate in a full-time internship between May-September.

Waddle Labs: - we are an early-stage startup - we build robotics models to solve physical bottlenecks in science (eg. wet lab experiments) - YC W26

The other companies on this career site know what they're doing. We don't. Do you want to help us figure it out?

If you want to find out more, reach out to wave@waddlelabs.ai with 1 sentence about what you’re interested in.

Open positions in Mathematical, Statistical and Computational aspects of Artificial Intelligence and Machine Learning.

The Faculty of Mathematics and the Institute for Mathematical and Computational Engineering (IMC) from the Pontificia Universidad Católica de Chile (UC) are offering up to two full-time professor positions at the assistant or associate level. The successful candidate will have a joint appointment between the Faculty of Mathematics and the IMC. We welcome applications from highly qualified candidates with a track record of excellent research and a solid commitment to excellence in teaching and supervision. This position is intended for those researchers interested in advancing the mathematical, statistical and computational aspects of modern artificial intelligence, machine learning and its applications. Candidates conducting research in areas including pure and computational mathematics, mathematical modeling, statistics, optimization, and theoretical computer science, that exhibit a convincing path towards AI research are also encouraged to apply.

The successful candidate will contribute to teaching courses at the Institute for Mathematical and Computational Engineering and the Faculty of Mathematics. The typical teaching load is three semester-long courses a year, at the graduate or undergraduate level, split between the two academic units. Command of Spanish is not required for applying; however, the selected candidate is expected to start teaching in Spanish in at most two years. Applicants who do not speak Spanish will receive support from the University to learn the language adequately. To support the initial academic career stages, the incorporation of Assistant Professors can benefit from an initial reduction of the teaching load and a starting fund. The applicant position and salary will be adjusted, according to the policies and regulations at UC, on the applicant starting date. These will be determined according to the previous experience of the candidate. UC is committed to the values of diversity regarding origin, gender, and ethnicity to build a more diverse and inclusive community. For the current call, women are especially encouraged to apply.

APPLICATIONS

Applications are received through MATHJOBS platform at the link https://www.mathjobs.org/jobs/list/27675 or can be sent by email at vacancysearch.imc@uc.cl. The documentation submitted must include at least:

• Cover letter.
• Curriculum vitae.
• Publication list.
• Research statement.
• Teaching statement.
• Three (3) letters of recommendation, with ideally at least one of them referring to the teaching experience.

The deadline for the applications is December 16th, 2025. Queries can be made by email to Prof. Cristóbal Rojas at vacancysearch.imc@uc.cl.

VISA

If selected for a position, a foreigner without permanent residency in Chile or applying from abroad will need to request a visa in the consulate of their country of origin to be incorporated as academic staff at UC Chile.

Further information about IMC and the Faculty of Mathematics can be found at https://imc.uc.cl and www.mat.uc.cl.

New York

Quantitative Analyst Ph.D. Intern (New York) – Summer 2026

The D. E. Shaw group seeks talented Ph.D. candidates with impressive records of academic and/or professional achievement to join the firm as quantitative analyst interns. Ph.D. interns explore how the analytical skills gained from their graduate programs may relate to the work done at the firm while interacting with fellow interns and employees of similar academic backgrounds in a collegial working environment. This 12-week program will take place in New York and is expected to run from June to August 2026. 

What you'll do day-to-day

You’ll spend the summer working on a research project that typically involves exploring a variety of statistical modeling techniques and writing software to analyze financial data. You’ll have a dedicated mentor in one of our quantitative research groups and are encouraged to attend our academic speaker series and track academic progress in various areas that may be of interest.

Who we're looking for

• Individuals with impressive records of academic achievement, including advanced coursework in fields such as math, statistics, physics, engineering, computer science, or other technical and quantitative programs. 
• Applicants should have notable research productivity in their respective areas of study as well as a track record of creativity in their field(s). 
• Interest or experience working in a data-driven research environment, including manipulation of data using high-level programming languages such as Python, is preferred. 
• An exceptional aptitude for abstract reasoning, problem solving, and quantitative thinking, in addition to prior probability or statistics knowledge, is a plus. 
• No previous finance experience is necessary, though candidates should have an interest in learning about quantitative finance.
• Students who apply to this internship are usually approaching their final year of full-time study.
• The position offers a monthly base salary of 25,000USD, overtime pay, a sign-on bonus of 25,000USD, travel coverage to and from the internship, and choice of furnished summer housing or a 10,000USD housing allowance. It also includes a 3,300USD stipend for self-study materials and a 4,000USD stipend for personal technology equipment. If you have any questions about the compensation, please ask one of our recruiters.

Research Fellow

Job Reference: 521360
Employment Type: Full Time (Fixed Term, 2 Years)
Location: Perth, Western Australia

Remuneration

Base salary: Level B, $118,150–$139,812 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 research and development of advanced computer vision models, multi-object tracking, and post-processing methods to improve traffic video analytics in complex environments. You will drive benchmarking, evaluation, and deployment optimisation of AI models, ensuring scalability and real-world performance. You will publish research, mentor junior staff, and collaborate with engineers and partners to translate innovations into production-ready solutions.

Selection Criteria

Essential:

• Tertiary degree in Computer Science, Applied Mathematics/Statistics, Robotics, Physics, or related discipline, with excellent academic record
• Demonstrated expertise in computer vision and machine learning, including object detection, segmentation, and multi-object tracking in challenging conditions such as occlusions, crowded scenes, and object re-identification
• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and Python ML libraries (e.g., NumPy, OpenCV, scikit-learn)
• Experience implementing and evaluating state-of-the-art tracking algorithms such as DeepSORT, ByteTrack, and Transformer-based approaches
• Proven ability to design and run rigorous experimental frameworks, including benchmarking, ablation studies, and field validation

Further Information

Position Description: PD [Research Fellow] [521360].pdf

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

Handshake is building the career network for the AI economy. Our three-sided marketplace connects 18 million students and alumni, 1,500+ academic institutions across the U.S. and Europe, and 1 million employers to power how the next generation explores careers, builds skills, and gets hired.

Handshake AI is a human data labeling business that leverages the scale of the largest early career network. We work directly with the world’s leading AI research labs to build a new generation of human data products. From PhDs in physics to undergrads fluent in LLMs, Handshake AI is the trusted partner for domain-specific data and evaluation at scale. This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.

Now’s a great time to join Handshake. Here’s why: Leading the AI Career Revolution: Be part of the team redefining work in the AI economy for millions worldwide. Proven Market Demand: Deep employer partnerships across Fortune 500s and the world’s leading AI research labs. World-Class Team: Leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, just to name a few. Capitalized & Scaling: $3.5B valuation from top investors including Kleiner Perkins, True Ventures, Notable Capital, and more.

About the Role We’re expanding our team and seeking an Engineering Manager to lead the development of high-impact products that empower our Fellows in driving AI innovation. This is a unique opportunity to play a pivotal role in a fast-growing space, working directly with leading AI labs and tech companies to develop solutions that enhance research workflows, model evaluation processes, and domain-specific AI applications. We’re expanding our team and seeking an experienced Engineering Manager to lead our Annotations Team, responsible for building and maintaining the tools that power our data creation pipeline. This team develops products used by operators and fellows to create data used by researchers to train the latest, state of the art language models. As an Engineering Manager, you'll play a key role in shaping technical direction, fostering engineering excellence, and ensuring your team delivers reliable, scalable, and user-centric solutions. You’ll manage a talented group of engineers focused on improving workflow efficiency, quality assurance, and scalability across annotation systems. This is a highly cross-functional role that sits at the intersection of engineering, operations, and product, ensuring our data creation platform is robust, intuitive, and ready to meet evolving research needs.

Location: San Francisco, CA| 5 days/week in-office Lead and grow a high-performing engineering team, fostering a culture of ownership, inclusion, and technical excellence. Partner with product and design teams to define roadmaps, scope projects, and deliver end-to-end solutions aligned with user needs. Drive technical architecture and decision-making, ensuring systems are scalable, maintainable, and performant. Mentor engineers across experience levels, supporting their growth through regular feedback, coaching, and development opportunities. Oversee day-to-day execution, ensuring high-quality code, effective reviews, and healthy team velocity.

Desired Capabilities 2–4+ years of experience in an engineering leadership role (team lead, tech lead, or manager), in addition to prior experience as a hands-on engineer. Strong technical background in full-stack development, particularly with ReactJS, TypeScript, and backend technologies like Node.js or Python. Experience leading teams building end-user products with a focus on quality, usability, and performance. Solid understanding of system architecture, relational databases (e.g., PostgreSQL), and cloud infrastructure (e.g., AWS, GCP). Proven track record of successfully shaping product direction and delivering results in a fast-paced environment. Excellent communication skills

Nanyang Technological University, Singapore, ranked 12th in the 2026 QS World University Rankings, is recruiting four research fellows (post-doc) and two research associates (with master’s degree) in the following areas:

1. Image authentication (classifying whether an image is real, AI modified or generated)
2. Image and video watermarking
3. Video processing (event detection, object detection and summarization)
4. Biometrics (face recognition and soft biometrics)

The project aims to develop state-of-the-art methods and systems to address real-world challenges and risks from generative AI and massive real and AI generated images and videos.

The project starts on 1 March 2026, and the duration is 2 years and extendable.

We are seeking high quality researchers, like you to join our team to tackle the real-world challenges from generative AI. Your work may be able to deploy worldwide through our partners.

General Requirements:

• Excellent teamwork and verbal, written communication skills
• Preferably a strong publication record at top AI conferences or journals, such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, TPAMI, ICCV, TIP, TIFS, TMM and TBio
• Preferably publications related to the four areas
• Strong software implementation skills
• Ability and willingness to work some flexible hours

Applications:

Please email your CV and selected publications to adamskong@ieee.org AND xiaobao.guo@ntu.edu.sg with an email title "Application for Research Fellow / Research Associate, 2026".

More information about:

• Nanyang Technological University: https://www.ntu.edu.sg/
• PI of the project: https://personal.ntu.edu.sg/AdamsKong/
• The openings: https://personal.ntu.edu.sg/AdamsKong/Research%20fellow%20and%20Research%20Associate%20Openings.pdf

Pittsburgh

We are seeking creative and energetic candidates with strong experience in multimodal machine learning and human behavior analysis and modeling for a one-year Postdoctoral position. Using recent progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and recognize multimodal human behavior in real world settings (e.g., Affective Computing, AI for Healthcare: pain measurement, monitoring mental health disorders). The successful candidate will have primary responsibility for all facets of the project, including papers writing and students mentoring. Preference will be given to candidates with a proven track record, demonstrating relevant skills and extensive experience in multimodal machine learning and human behavior analysis (e.g., facial and gesture analysis and acoustic signal processing). The candidate should be enthusiastic about collaborating with partners from multiple disciplines and institutions.

New York

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)