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

Abu Dhabi, UAE

The Department of Machine Learning at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) has faculty openings at all ranks (full/associate/assistant professors). Qualified candidates are invited to apply. Applicants are expected to conduct outstanding research and be committed to teaching. Successful applicants will be provided an attractive remuneration package and allocated generous research funding for each year. Long-term research on big problems is particularly encouraged.

More details about the positions and the submission are available at https://apply.interfolio.com/176242

Those attending NeurIPS are welcome to talk to us to learn more about the university and the positions.

Contact: Chih-Jen Lin (chihjen.lin@mbzuai.ac.ae)

San Francisco / New York / Toronto

About Ideogram

Ideogram’s mission is to make world-class design accessible to everyone, multiplying human creativity. We build proprietary generative media models and AI native creative workflows, tackling unsolved challenges in graphic design. Our team includes builders with a track record of technology breakthroughs including early research in Diffusion Models, Google’s Imagen, and Imagen Video. We care about design, taste, and craft as much as research and engineering – shipping experiences that creatives actually love.

We’ve raised nearly $100M, led by Andreessen Horowitz and Index Ventures. Headquartered in Toronto with a growing team in NYC, we're scaling fast, aiming to triple over the next year. We're a flat team with a culture of high ownership, collaboration, and mentorship.

Explore Ideogram 3.0, Canvas, and Character blog posts, and try Ideogram at ideogram.ai.

The Opportunity

In this role, you will develop the post-training pipeline for our text-to-image foundation models end to end, from data strategy to deployment, advancing techniques such as RLHF, RLAIF, and work on personalization/customization. You will contribute to post-training research that drives measurable gains, and implement and maintain high-throughput fine-tune/eval pipelines. You'll work with a creative and ambitious team of engineers and researchers who are building the future of the creative economy.

What We're Looking For

• 5+ years of experience in developing machine learning models in JAX, PyTorch, or TensorFlow.

• Experience in implementing Machine Learning foundations (e.g., Transformer, VAE, Denoising Diffusion models) from scratch.

• Track record in machine learning innovation and familiarity with Deep Learning and advanced Machine Learning.

• End-to-end understanding of generative media applications and excitement for pushing the state-of-the-art in generative AI.

• Ability to debug machine learning models to iteratively improve model quality and performance.

• Nice to have: Familiarity with Kubernetes and docker.

• Optional: Experience in low-level machine learning optimization, e.g., writing CUDA kernel code.

Our Culture

We’re a team of exceptionally talented, curious builders who love solving tough problems and turning bold ideas into reality. We move fast, collaborate deeply, and operate without unnecessary hierarchy, because we believe the best ideas can come from anyone.

Everyone at Ideogram rolls up their sleeves to make our products and our customers successful. We thrive on curiosity, creativity, and shared ownership. We believe that small, dedicated teams working together with trust and purpose can move faster, think bigger, and create amazing things.

Ideogram is committed to welcoming everyone — regardless of gender identity, orientation, or expression. Our mission is to create belonging and remove barriers so everyone can create boldly.

What We Offer

💸Competitive compensation and equity designed to recognize the value and impact of your contributions to Ideogram’s success. 🌴 4 weeks of vacation to recharge and explore. 🩺 Comprehensive health, vision, and dental coverage starting on day one. 💰 RRSP/401(k) with employer match up to 4% to invest in your future from the moment you join. 💻 Top-of-the-line tools and tech to fuel your creativity and productivity. 🔍 Autonomy to explore and experiment — whether you’re testing new ideas, running large-scale experiments, or diving into research, you’ll have access to compute/resources you need when there’s a clear business or creative use case. We encourage curiosity and bold thinking. 🌱 A culture of learning and growth, where curiosity is encouraged and mentorship is part of the journey. 🏡 Fully remote flexibility across North America, with regular in-person team meetups and collaboration opportunities.

About AIMATX

AIMATX is a Berkeley-based startup revolutionizing materials science by creating next-generation materials and molecules that power the future economy. Our AI-driven platform explores vast chemical spaces, predicts new materials and their properties, and accelerates discovery through intelligent, targeted experimentation. By reducing years of R&D to weeks, we are shaping the future of materials innovation; come join us!

AIMATX is built and guided by a world-class team at the intersection of science, AI and engineering. Our leadership includes Omar Yaghi (2025 Nobel Prize), Fernando Perez, inventor of Jupyter/IPython, alongside former CEOs of public companies and leading researchers in generative AI and autonomous experimentation. This ecosystem brings unmatched scientific depth, computational expertise, and entrepreneurial excellence to accelerate the future of discovery.

Role Overview

We are seeking a Machine Learning Engineer with deep expertise in large-scale generative models (e.g., LLMs, diffusion models) to join our innovative team. You will design, build, and scale the core AI systems that power our materials discovery engine, enabling rapid experimentation, robust deployment, and continuous improvement. As part of our technical team, you will:

• Design and implement training pipelines for LLMs, diffusion models and related architectures for molecular, materials and experimental design.
• Build robust data pipelines and preprocessing workflows for multimodal scientific data.
• Optimize model training and inference at scale, including distributed training and mixed-precision acceleration.
• Develop evaluation, benchmarking and monitoring frameworks to assess reliability, calibration and performance of generative models.
• Collaborate with scientists and engineers to integrate models into self-driving lab workflows and closed-loop experimentation.
• Work closely with MLOps and platform teams to ensure reproducibility, experiment tracking and scalable deployment.
• Stay current with advances in LLMs, diffusion models, reinforcement learning and agentic AI, and translate promising ideas into production systems.
• Maintain high engineering standards, including testing, documentation and code review.

Required Qualifications

• Degree in Computer Science, Machine Learning, Applied Mathematics, Engineering or a related technical field (or equivalent practical experience).
• Strong software engineering experience building and maintaining ML systems in production.
• Expertise with deep learning frameworks such as PyTorch or JAX.
• Proficiency with Python and experience working in collaborative, large-scale codebases.
• Demonstrated track record of owning and delivering end-to-end ML projects from prototype to production.

Preferred Qualifications

• Experience working with generative models in chemistry or materials science.
• Background or strong interest in scientific domains (chemistry, materials science, physics, biology) or scientific ML.
• Contributions to open-source ML or infrastructure projects, or publications in ML/AI conferences or journals.
• Expertise in training large-scale generative models (e.g., LLMs, diffusion models).

Soft Skills & Cultural Fit

• Excellent written and verbal communication skills.
• Collaborative mindset and ability to work effectively in a multidisciplinary team.
• Proactive and self-motivated, with the ability to take initiative.
• Commitment to scientific rigor, innovation and continuous learning.

Benefits & Perks

We offer a competitive salary with bonus potential and meaningful early equity. Compensation reflects experience, expertise and expected impact.

Additional benefits may include: - Flexible work arrangements and remote options. - Medical, dental, and vision coverage. - 401(k) with company matching. - Generous PTO and parental leave.

How to Apply

Send your CV to theo.jaf@aimatx.ai

Location United States

Description

As part of OCI Applied Science group, our objective is to create innovations that power internal and external solutions. The Multimodal AI team is working on developing cutting-edge AI solutions using Oracle's industry leading GPU-based AI clusters to disrupt industry verticals and push the state-of-the-art in Multimodal AI research. As a Principal Applied Scientist in the Applied Science team, you will be architecting, building and deploying cutting-edge, high-quality AI models and solutions at scale. You will work with a team of world-class scientists in exploring new frontiers of Generative AI and collaborate with cross-functional teams including software engineers and product managers to deploy these globally for real-world enterprise use-cases at the largest scale. You will play a key role in shaping the future of Generative AI & Analytics at Oracle and across the industry. Your contributions will be pivotal in delivering our new Generative AI-powered services for large-scale enterprise customers. Responsibilities

Responsibilities: Research and Development: Conduct in-depth research on image and video generation techniques, including diffusion models, flow-based models, generative adversarial networks (GANs), and other emerging approaches. Model Development: Design, develop, and train state-of-the-art image generation models that meet the highest quality standards. Team Leadership: Build and mentor a high-performing team of scientists and engineers. Collaboration: Work closely with cross-functional teams to integrate video generation capabilities into various applications and products. Innovation: Identify new opportunities for image generation and explore emerging technologies. Stay Updated: Maintain a deep understanding of industry trends and advancements in video generation.

Qualifications and Experience:

PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 4+ years relevant experience is preferred but not a must; OR Masters or Bachelor’s in related field with 8+ years relevant experience

Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences. Extensive experience in image generation, computer vision, and deep learning Proven track record of leading research and development projects Strong understanding of machine learning algorithms and architectures Excellent problem-solving and analytical skills Strong leadership and communication abilities

If you are passionate about pushing the boundaries of image generation and have a proven track record of success, we encourage you to apply. Qualifications Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $120,100 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings an

San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

Within the Ads Delivery team, we try to connect the dots between the aspirations of pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the Pinterest marketplace. You will design and implement systems that improve the ads delivery funnel, experiments that shape the utility function, auction mechanism design, ad allocation and for deriving new insights through analysis of the marketplace dynamics. In short, this is a unique position, where you’ll get the freedom to work to bring together pinners and partners in this unique marketplace.

What you’ll do:

• Build and improve backend systems and statistical models that underlay the marketplace to maximize value for Pinners, Partners and Pinterest.
• Define and implement experiments to understand long term Marketplace effects.
• Develop strategies to balance long and short term business objectives.
• Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations.

What we’re looking for:

• Degree in Computer Science, Machine Learning, Statistics or related field.
• 8+ years of industry experience.
• 2+ years of experience leading projects/teams.
• Strong software engineering and mathematical skills with knowledge of statistical methods.
• Hands-on experience with large-scale online e-commerce systems is a plus.
• Background in computational advertising is preferred, but not required.

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.

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!

USA – Austin, San Jose

Overview

Arm technology is becoming the platform of choice for compute and AI. The Arm System Engineering team’s mission is to architect, design, and develop scalable compute platforms. Our capabilities span hardware and software, interconnects, system management, storage, physical infrastructure, and performance engineering. We lead customer collaborations, technology evaluation, end-to-end architecture, network strategy, and rigorous performance analysis. The team is developing advanced technologies to deliver innovative, high-performance solutions to power high-performance AI/ML applications. Job Overview:

The Performance Engineering Team plays a central role in enabling and optimizing performance across Arm’s compute systems. The team’s charter is to model, measure, and optimize performance at scale, ensuring Arm-based solutions achieve world-class efficiency and throughput for diverse workloads—from AI training and inference to scientific and data-intensive computing Responsibilities:

The System Engineering team is looking for AI/ML, Software, and Performance Engineers that will be responsible for application performance and benchmarking to enable ARM’s customer base in the datacenter space. Ownership of system performance for AI workloads and related software tools Collaboration with platform, interconnect, software, storage and system management engineering teams to perform system-scale testing and validation Oversight of support functions such as programs management, quality, and DevOps. Core Hiring Focus:

We are expanding our Performance Engineering team and seeking individuals passionate about pushing the limits of AI performance on systems built around Arm platforms. Key areas of recruitment include: Performance Modeling Engineers: Develop analytical and simulation-based performance models for large-scale AI/ML systems. AI and ML Performance Engineers: Optimize LLM and generative model training/inference workloads on Arm-based systems. Systems and Networking Engineers: Advance interconnect and collective communication performance across multi-node clusters, reduce system jitter. Storage Performance Engineers: Design and optimize parallel file system and near computer storage solutions for AI/ML workloads. Resilience and Reliability Engineers: Innovate in checkpointing, recovery, and resilient distributed training. Benchmarking Specialists: Lead evaluation and comparison of Arm-based performance using industry-standard metrics. In Return:

Be part of a groundbreaking team influencing the next generation of Arm systems for AI/ML computing! Collaborate with top engineers and vendors to develop industry-leading AI systems. Access professional growth through sophisticated project involvement and multidisciplinary teamwork. Join a company committed to diversity and inclusion, where your work matters and drives global progress!

Position: Data Science Intern

Location: 660 5th Avenue, New York, NY

Viking Global Investors (“Viking”) is a global investment firm founded in 1999, managing over $53 billion in capital across public and private investments. With offices in Stamford, New York, Hong Kong, London, and San Francisco, Viking is registered with the U.S. Securities and Exchange Commission. For more information, visit www.vikingglobal.com.

Internship Opportunity

The Data Science Intern will collaborate with the Data Science team, Investment Analysts, and Data Engineers to analyze and expand Viking’s alternative data assets, generating actionable investment insights. This role is ideal for analytical, creative problem solvers eager to apply their data science skills to pressing research questions. Interns will work both independently and alongside quantitative professionals, with flexibility in duration, start dates, and full-time/part-time options.

Informational Webinar: October 30, 6:00–7:00pm ET
Register here

Responsibilities

• Develop and deliver predictive analytics on companies, sectors, and macroeconomic trends
• Generate investment insights from alternative data analysis
• Create methodologies to identify and evaluate private company investment opportunities
• Identify and assess new data sources
• Streamline data lifecycle, operating models, and processes
• Test and evaluate new technologies for the big data platform
• Build centralized, automated analyses and processes
• Share information and insights to support Viking’s research efforts

Qualifications

• Currently enrolled in a Master’s or PhD program (3rd year+) in Data Science, Economics, Finance, Statistics, or related quantitative fields
• Strong communication skills, with the ability to explain complex ideas to non-technical audiences
• Independent thinker, capable of leading research projects with partial supervision
• Proficient in Python, statistical libraries, SQL, BI tools (e.g., Tableau), and cloud technologies
• Sound judgment and big-picture perspective
• Passionate about research, proactive, and self-motivated
• Committed to excellence

Application

Submit your resume and a 1–2 page supplement describing a recent quantitative research project via the Viking career site.
Supplement must include:
- Research question
- Data used
- Approach and statistical methodologies
- Findings
- Computational environment (language, main libraries, etc.)

Application Deadline: November 11, 2025 (11:59 PM EST)
Interviews: Conducted virtually in December

Compensation & Benefits

• Base Salary Range (NYC): $175,000 – $250,000 annually
• Actual compensation determined by skill set, experience, education, and qualifications

Equal Opportunity Employer

Viking is an equal opportunity employer. For questions or accommodation requests, contact:
Viking Campus Recruiting Team
campusrecruiting@vikingglobal.com