AI Scientist - AI Retrieval Systems and Knowledge Graphs

Location: Boston (US) / Barcelona (Spain)

About us:

Axiomatic_AI is dedicated to accelerating R&D by developing Automated Interpretable Reasoning, the next generation of a verifiably truthful AI model built for reasoning in science and engineering, with the goal of empowering engineers specifically in hardware design and Electronic Design Automation (EDA). Our mission is to revolutionize the fields of hardware design and simulation in the photonics and semiconductor industry as a first step towards automated and reliable scientific reasoning. We seek highly motivated professionals to help us bring these innovations to life, driving the evolution from research, development to commercial products.

Position overview:

As an AI Scientist specialized in retrieval systems and knowledge graphs, you will play a key role in developing Axiomatic’s verifiable scientific reasoning. Your responsibilities will include designing, prototyping, developing, testing and iterating on the core architecture. You will also manage data curation, conduct benchmarking to evaluate performance, analyze reasoning flaws and propose solutions. Close collaboration with our focused cross-functional team, consisting of AI Engineers, Software Engineers, Physicists and AI scientists, and regular alignment of the development with the customer and business needs will be essential to the success of the project.

Your mission:

• AI Research and Development: Contribute to the development of validated AI reasoning models and architectures, focusing on automated reasoning techniques and application to scientific fields where rigour and reliability are fundamental
• Data & Benchmarking: Supervise dataset curation, run benchmarks, and analyze performance results to guide improvements.
• Collaboration: Work closely with a cross-functional team of engineers and scientists, collaborating on solving challenging problems at the intersection of AI, physics and engineering.
• Documentation and Reporting: Develop detailed technical documentation and present research findings to internal teams and external stakeholders.
• Research & Publication: Contribute to cutting-edge research and publish results in top AI conferences and journals, helping advance the global AI research community whenever opportunities arise.

Key requirements:

• PhD degree in Data Science, Computer Science, Information Technology, Artificial Intelligence, Physics or related field
• 1–2 years of experience, preferably in a mathematical, engineering, scientific, or technical setting.
• Relevant experience in knowledge graphs and retrieval systems
• Strong communication skills
• Ability to collaborate effectively within a multidisciplinary and multicultural environment
• Curiosity, and a proactive, solution-oriented mindset
• Excitement to work in a dynamic and fast-paced environment, ability to thrive in ambiguity

Technical skills:

• Proficiency in Python
• Understanding of fundamental computer science principles
• Solid understanding of machine learning principles and architectures
• Fundamentals of statistics
• Excellent research and analytical skills
• Experience in ontology engineering and semantic modeling
• Experience in designing and developing RAG systems
• Familiarity with Neo4j
• Contributions to research (publications in top-tier conferences) or open-source projects

Preferred Qualifications (Nice to Have):

• Proven excellence in relevant areas (e.g., awards, competition wins)
• Proven ability to independently solve complex problems or lead challenging projects
• Academic or practical background in physics or other natural sciences / engineering
• Experience with good coding practices and software development standards
• Proficiency in agentic and deep learning frameworks
• Hands-on experience with large language models and/or other state of the art models

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 Beijing CHINA

Description

1. Role and Value： BAAI is seeking Principal Investigators to act as our scientific leaders and team builders. We will grant you significant resources and trust, empowering you to build high-performing R&D teams from the ground up and lead the charge in solving research and engineering challenges of world-class significance.

2. Qualifications：

3. A proven track record of successfully establishing, leading, and motivating high-caliber R&D teams, demonstrating exceptional leadership.
4. Outstanding talent-spotting abilities, with expertise in attracting, nurturing, and mentoring young talent to form globally competitive research groups.
5. Extensive experience in managing and delivering major national or enterprise-level R&D projects with a record of outstanding outcomes.

6. A strong publication record in premier academic conferences/journals and/or a portfolio of high-value patents.

7. We Offer：

8. Industry-leading compensation with substantial performance-based bonuses linked to project milestones.
9. Substantial autonomous project funding and access to state-of-the-art computing resources.
10. Priority access to subsidized talent apartments and comprehensive support for Beijing residency registration.
11. An open research environment and extensive industry collaboration network to help translate innovative ideas into real-world impact.

12. Comprehensive commercial health insurance for you and your family.

13. How to Apply： Please send your CV, a summary of key project experiences, and a list of representative achievements (papers/patents) to: [recruiting@baai.ac.cn] Use the email subject line: "Principal Investigator Application - [Name] - [Research Focus]"

San Jose, CA, USA

Adobe is looking for a Senior Applied Researcher to use Generative AI and Machine Learning techniques to help Adobe better understand, lead, and optimize the experience of Adobe’s Digital Experience customers. Partnering with Adobe Research and other business units, the candidate will be building products that transform the way companies approach audience creation, journey optimization, and personalization at scale. You will join a diverse, lively group of engineers and scientists long established in the ML space. The work is dynamic, fast-paced, creative, collaborative and data-driven.

NOTE: This role is in the San Jose office. You must be in SJ or willing to relocate for this position.

What you'll do - Partner with Adobe Research to develop cutting edge models! - Design and build applications powered by generative AI, including working on traditional engineering problems such as defining APIs, integrating with UIs, deploying Cloud services, CICD, etc., as well as implementing ML- and LLM-Ops best practices.
- Engage in the product lifecycle, design, deployment, and production operations. - Provide technical leadership in everything from architectural design and technology choices to holistic evaluation of ML models.

What you need to succeed - The ideal candidate will have the following background: - PhD or MS degree in Computer Science, Data Science or related field required.
- 10+ years of applied research experience in software industry/academic research with 5+ years of shown experience developing, evaluating ML models, and deploying models into production. - Deep understanding of statistical modeling, machine learning, or analytics concepts, and a track record of solving problems with these methods; ability to quickly learn new skills and work in a fast-paced team. - Proficient in one or more programming languages such as Python, Scala, Java, SQL. Familiarity with cloud development on Azure/AWS. - Fluent in at least one deep learning framework such as TensorFlow or PyTorch. - Experience with LLMs and emerging area of prompt-engineering. - Recognized as a technical leader in related domain.
- Experience working with both research and product teams.
- Excellent problem-solving and analytic skills - Excellent communication and relationship building skills.

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]"

ABOUT THE ROLE

You would be working as part of our Applied Research team, focused on turning pre-trained LLMs into well-aligned and highly capable AI systems for coding and software development. This is a hands-on role where you'll work across a variety of efforts, including: Building data pipelines for coding use cases, researching and implementing fine-tuning algorithms, training reward models, and more. You will have access to thousands of GPUs in this team.

YOUR MISSION

To turn pre-trained LLMs into well-aligned and highly capable AI systems.

RESPONSIBILITIES

• Research and experiment on ways to specialize foundational models to coding use cases
• Build and maintain data and training pipelines
• Keep up with latest research, and be familiar with state of the art in LLMs, alignment, synthetic data generation, code generation
• Design, analyze, and iterate on training/fine-tuning/data generation experiments
• Write high-quality, pragmatic code
• Work as part of a team: plan future steps, discuss, and communicate clearly with your peers

SKILLS & EXPERIENCE

• Experience with Large Language Models (LLM)
• Deep knowledge of Transformers
• Strong deep learning fundamentals
• Good taste in data
• Fine-tuning experience with LLMs
• Extensively used and probed LLMs, familiarity of their capabilities and limitations
• Knowledge of distributed training
• Strong machine learning and engineering background
• Research experience
• Experience in proposing and evaluating novel research ideas
• Familiar with, or contributed to the state of the art in multiple of the following topics: Fine-tuning and alignment of LLMs, synthetic data generation, continual learning, RLHF, code generation
• Is comfortable in a rapidly iterating environment
• Is reasonably opinionated
• Programming experience: Linux, Strong algorithmic skills, Python with PyTorch or Jax. Use modern tools and are always looking to improve
• Strong critical thinking and ability to question code quality policies when applicable
• Prior experience in non-ML programming, especially not in Python - is a nice to have

PROCESS

• Intro call with one of our Founding Engineers
• Technical Interview(s) with one of our Founding Engineers
• Team fit call with the People team
• Final interview with one of our Founding Engineers

BENEFITS

• Fully remote work & flexible hours
• 37 days/year of vacation & holidays
• Health insurance allowance for you and dependents
• Company-provided equipment
• Wellbeing, always-be-learning and home office allowances
• Frequent team get togethers
• Great diverse & inclusive people-first culture

New York, NY

The Department of Computer Science at The Cooper Union for the Advancement of Science and Art, jointly with the Center for Computational Mathematics (CCM) of the Simons Foundation’s Flatiron Institute invites outstanding candidates to apply for a joint computer science faculty position in the general area of machine learning.

The position is a 50-50 joint appointment between The Cooper Union and CCM, with the appointee allocating half of their effort in each place.

At The Cooper Union, the position is a tenured track full-time faculty position in computer science and will be engaged in accordance with Cooper Union’s relevant policies and procedures. At CCM, the position will be at the Associate Research Scientist level, in accordance with the Simons Foundation’s relevant policies and procedures.

To apply and for more details: https://apply.interfolio.com/174130 https://cooper.edu/work/employment-opportunities/albert-nerken-school-engineering-computer-science-joint-tenure-track Candidates must submit applications at both of the above links.

Palo Alto

Mission: Design and build the real-time data infrastructure that powers GroqCloud’s global revenue engine, processing hundreds of billions of events each day, sustaining millions of writes per second, and enabling a multi-billion-dollar business to operate in real time. Drive the intelligence layer that fuels global billing, analytics, and real-time business operations at worldwide scale.

Responsibilities & opportunities in this role: Architect high-performance data pipelines to ingest, process, and transform millions of structured and semi-structured events daily. Build distributed, fault-tolerant frameworks for streaming data from diverse sources. Create data services and APIs that make usage and billing data easily accessible across the platform. Develop lightweight tools and dashboards to monitor and visualize data ingestion, throughput, and system health.

Ideal candidates have/are: Strong background in real-time data processing, distributed systems, and analytics infrastructure. Hands-on experience with streaming technologies such as Kafka, Flink, Spark Streaming, or Redpanda and real-time analytics databases such as Clickhouse, Druid, or Pinot. Deep understanding of serialization, buffering, and data flow optimization in high-throughput systems.

Bonus points: Experience deploying and managing workloads on Kubernetes. A passion for systems performance, profiling, and low-latency optimization. Familiarity with gRPC and RESTful API design.

Attributes of a Groqster: Humility – Egos are checked at the door Collaborative & Team Savvy – We make up the smartest person in the room, together Growth & Giver Mindset – Learn it all versus know it all, we share knowledge generously Curious & Innovative – Take a creative approach to projects, problems, and design Passion, Grit, & Boldness – No-limit thinking, fueling informed risk taking

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

Overview

Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data, algorithms, and markets.

As a Machine Learning Intern at Susquehanna, you’ll work on high-impact projects that closely reflect the challenges and workflows of our full-time research team. You’ll apply your technical expertise in machine learning and data science to real-world financial problems, while developing a deep understanding of how machine learning integrates into Susquehanna’s research and trading systems. You will leverage vast and diverse datasets and apply cutting-edge machine learning at scale to drive data-informed decisions in predictive modeling to strategic execution.

What You Can Expect

 • Conduct research and develop ML models to identify patterns in noisy, non-stationary data

 • Work side-by-side with our Machine Learning team on real, impactful problems in quantitative trading and finance, bridging the gap between cutting-edge ML research and practical implementation

 • 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

 • One-on-one mentorship from experienced researchers and technologists

 • Participate in a comprehensive education program with deep dives into Susquehanna’s ML, quant, and trading practices

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

 • Explore various aspects of machine learning in quantitative finance from alpha generation and signal processing to model deployment and risk-aware decision making

What we're looking for

 • Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, Physics, Applied Mathematics, or a closely related field

 • Proven experience applying machine learning techniques in a professional or academic setting

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

 • Hands-on experience with machine learning frameworks, including PyTorch and TensorFlow

 • Deep interest in solving complex problems and a drive to innovate in a fast-paced, competitive environment

Why Join Us?

 • Work with a world-class team of researchers and technologists

 • Access to unparalleled financial data and computing resources

 • Opportunity to make a direct impact on trading performance

 • Collaborative, intellectually stimulating environment with global reach

Location Hybrid (2-3 days a week) on-site in San Mateo, CA.

BigHat is opening an ML Fellowship. We've got an awesome high-throughput wetlab that pumps proprietary data into custom data 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!