Preference for on-site candidates in San Mateo, but remote possible.

BigHat is hiring a Principal ML Scientist. We've got an awesome high-throughput wetlab that pumps proprietary data into custom ETL and ML Ops infra to power our weekly design-build-train loop. Come solve hard-enough-to-be-fun problems in protein engineering in service of helping patients!

JR2003228

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.

Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Generative AI teams. We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.

What you will be doing: Design and implement algorithms that push the boundaries of generative AI, computer vision, robotics, and other technology domains relevant to NVIDIA’s business.

Collaborate with other team members, teams, and/or external researchers.

Transfer your research to product groups to enable new products or types of products. Deliverable results include prototypes, patents, products, and/or publishing original research.

What we need to see: Must be actively enrolled in a university pursuing a PhD degree in Computer Science, Electrical Engineering, or a related field, for the entire duration of the internship.

Depending on the internship, prior experience or knowledge requirements could include the following programming skills and technologies: Python, C++, CUDA, Deep Learning Frameworks (PyTorch, JAX, Tensorflow, etc.)

Strong background in research with publications at top conferences.

Excellent communication and collaboration skills.

Experience with large-scale model training is a plus.

Potential internships require research experience in at least one of the following areas: Multimodal Foundation Models

Diffusion Models

World Models

Image, Video, or Audio Generation

Large Language Models

Vision-Language Models

Action-Based Transformers

Long Context Methods

Physics-Based Simulation

Flow Based Generative Models

Synthetic Data Generation

AI for Science

Protein/Molecule Generation

Climate Modeling and Weather Forecasting

Partial Differential Equations (PDEs)

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 30 USD - 94 USD.

You will also be eligible for Intern benefits. ​

Applications are accepted on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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/

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Salesforce AI Research advances AI techniques that pave the path for new AI research directions, innovative products, and applications with a positive impact on society. Our team of researchers, engineers, product managers, and designers drives AI innovation across pure research, applied research, and new product incubation—all built on our powerful AI platform. We bring companies and customers together using explainable, transparent, and accountable AI.

As part of our team, you’ll gain unique skills, work with talented people, and influence the industry standard for the fair and ethical use of artificial intelligence to help us shape the future of AI.

Check out our website to learn more about the groundbreaking work of the Salesforce AI Research Team.

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

Natural Language Processing (NLP) Computer Vision (CV) Reinforcement Learning (RL) General Machine Learning (ML)

Our research focus includes, but is not limited to, the following cutting-edge areas:

AI Agents Large Language/Action Modeling Responsible & Trusted AI Human-AI Interaction AI for Software Developers AI for Operations / Time Series AI for Knowledge Management Mobile AI Multimodal AI Automatic Evaluation

Candidates that have published in top-tier conferences or journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, CHI) are highly preferred.

ROLE & RESPONSIBILITIES: Collaborate with a team of research scientists and engineers on a project designed to lead to a submission at a top-tier conference. Develop novel algorithms and techniques that can be applied to real-world customer challenges within the Salesforce ecosystem. Contribute to the AI community by focusing on pure research that aligns with your PhD focus area. Learn about exciting research and applications outside your expertise. Attend conferences with our researchers to showcase accepted papers (when applicable).

MINIMUM REQUIREMENTS: PhD or MS candidate in a relevant research area. Strong background in machine learning, natural language processing, computer vision, or reinforcement learning. Excellent understanding of deep learning techniques, including CNN, RNN, LSTM, GAN, attention models, and optimization methods. Experience with one or more deep learning libraries and platforms (e.g., PyTorch, TensorFlow). Strong algorithmic problem-solving skills. Programming proficiency in Python, Java, C/C++, Lua, or a similar language.

INTERNSHIP DETAILS: This internship is a minimum of 12 weeks.

Location Beijing CHINA

Description

1. Mission and Positioning： The Beijing Academy of Artificial Intelligence (BAAI) invites strategic scientists from the global AI community to join us as a Chief Scientist. In this role, you will chart the future course for the Academy's and the discipline's development, guiding our exploration of the AI frontier and establishing yourself as an academic leader shaping the global AI landscape.

2. Qualifications：

3. A distinguished research background at world-leading universities, national-level research institutions, or corporate R&D labs of global renown.
4. A proven record of publishing a series of highly influential research findings in top-tier AI journals and conferences, with the ability to define the frontiers of the discipline.

5. Visionary strategic insight and exceptional academic leadership, with a demonstrated capacity to identify and tackle the field's most fundamental challenges.

6. We Offer：

7. A globally competitive compensation package and comprehensive benefits (customized arrangements are available).
8. Full academic autonomy supported by substantial, long-term research funding and access to world-class computing infrastructure.
9. Full support to assemble and lead an elite research team from around the world.
10. Expedited Beijing residency registration for eligible candidates and access to a premium medical "Green Channel" for senior talent.

11. Customized supplementary health insurance plans for experts and their immediate family members.

12. How to Apply： Please send your detailed CV, representative publications, and a brief research vision statement to: [recruiting@baai.ac.cn] Use the email subject line: "Chief Scientist Application - [Name] - [Primary Research Field]"

Johns Hopkins University

We invite applications for Postdoctoral Fellow positions in the broad areas of data science and AI, with a focus on developing and applying novel data science approaches, computational tools and statistical methods to advance health and biomedical research. Johns Hopkins University has recently made transformative new investment in launching a new Data Science and AI institute that will serve as the hub for interdisciplinary data collaborations with faculties and students from across Johns Hopkins and will build the nation’s foremost destination for emerging applications, opportunities and challenges presented by data science, machine learning and AI.

San Jose, CA, USA

We are looking for a hands-on, systems-oriented AI Agent Engineer to design, build, and maintain intelligent agents that drive automation and business impact across the enterprise. This role is responsible for the full lifecycle of agent development — from design to versioning, orchestration, and continuous learning.

You’ll contribute directly to scaling our AI strategy by engineering reusable components, optimizing agent workflows, and ensuring real-world performance in production environments.

What you'll Do

• Agent Development: Build and fine-tune specialized AI agents for targeted customer experience use cases such as discovery, support, and lead qualification. Implement prompt engineering strategies, memory handling, resource management and tool-calling integrations

• Multi-Agent Communication: Adopt agent-to-agent communication protocols and handoff mechanisms to enable cooperative task execution and delegation. Build orchestrated workflows across agents using frameworks like LangChain, AutoGen, or Semantic Kernel

• Templates & Reusability: Create reusable agent templates and modular components to accelerate deployment across business units. Build plug-and-play configurations for domain-specific requirements.

• Lifecycle Management & Monitoring: Track and improve conversation quality, task success rate, user satisfaction, and performance metrics. Automate monitoring of agent behavior using observability tools (e.g., Arize, LangSmith, custom dashboards)

• Continuous Improvement: Implement learning workflows, including human-in-the-loop feedback and automatic retraining. Refine prompts and model behavior through structured experimentation and feedback loops.

• Maintenance & Governance: Handle knowledge base updates, drift detection, performance degradation, and integration of new business logic. Ensure agents stay aligned with evolving enterprise data sources and compliance requirements

• Deployment: Manage agent versioning, testing pipelines (unit, regression, UX), and controlled rollout processes. Collaborate with DevOps, QA, and infrastructure teams to ensure scalable deployments

What you need to succeed - 3–5+ years of experience in AI/ML engineering, NLP systems, or backend development - Strong proficiency with LLM frameworks (e.g., OpenAI APIs, LangChain, RAG pipelines) - Experience building conversational agents or workflow bots in production environments - Familiarity with cloud platforms (AWS/GCP/Azure), REST APIs, Python, and containerization (Docker, K8s) - Comfort with prompt design, vector databases, and memory handling strategies

Preferred Qualifications - Experience with multi-agent frameworks or agent orchestration systems - Familiarity with observability tools, data labeling workflows, or synthetic data generation - Background in conversational design or dialogue management systems - Degree in Computer Science, Data Science, Engineering, or a related field

Pinely is a privately owned algorithmic trading firm specializing in high-frequency and mid-frequency trading. We’re based in Amsterdam, Cyprus, and Singapore, and we’re experiencing rapid growth. We are looking for a DL Research Group Lead to drive cutting-edge AI research and lead a core DL subgroup. As DL becomes a central engine of the business, your team’s impact will grow across major markets and asset classes.

Responsibilities:

• Lead development of AI models, especially foundational models for market data, to predict prices in noisy, fast-changing markets;
• Set the research agenda, design experiments, and validate results;
• Build and manage a high-performing research team;
• Ensure a fast, transparent, value-driven research process;
• Integrate contributions from multiple researchers into production-ready solutions;
• Contribute hands-on to coding and strategy development;
• Expand responsibilities within the DL department over time.

Requirements:

• Strong DL researcher with technical leadership experience;
• Preferably experienced in high-end AI domains (LLMs, reasoning, generative models);
• Motivated by deep research and real-world impact;
• Able to maintain high pace while supporting a healthy team culture;
• Trading experience optional — first-principles thinking is key.

What we offer:

• Relocation package to Amsterdam
• High impact on a core business function and direct influence on real PnL;
• Minimal bureaucracy, fast feedback loops, massive datasets, reproducible experiments;
• Strong engineering support and an H200-based Data Center growing 2× yearly;
• Work on extremely challenging, non-stationary markets with low signal-to-noise;
• Opportunity to build foundational models for finance and shape the future of quant AI;
• Freedom to pursue deep research and define your modeling vision;
• A top-tier team, on-site in Amsterdam, working directly with founders;
• Influence over team hiring and development.
• Internal training, comprehensive health insurance, sports reimbursement, and biannual corporate events

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.

Location Bay area or remote

Description

Goaly AI is hiring multiple AI research & AI infra positions, full-time and intern!

=== About Goaly === We are an early-stage stealth mode AI startup located in Silicon Valley, founded by ex-FAANG AI engineers & researchers who have led multiple GenAI products from research to production, powering billion-user products. We are backed by accredited investors and AI leadership from top tech firms, primarily serving rising AI labs and enterprise clients. We are on a mission to make frontier AI accessible and affordable to every business.

=== Why This Matters for Your Research === You will own end-to-end LLM/SLM development, working on cutting-edge model architectures and novel optimization techniques. Your research is backed by abundant GPU clusters, and we offer full support to publish breakthrough results at top conferences, including NeurIPS, ICML, and CVPR.

We are a super fun team that work and play hard together. We are actively hiring AI researchers and AI infra engineers (intern and full-time). Our job postings: https://goaly.ai/jobs?job_function=research
Send your cool projects / resume to recruiting@goaly.ai and lets YOLO together!