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!

Senior Software Engineer (Backend)

Location: Boston (US) / Barcelona (Spain)

About us:

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

Position Overview

As a Senior Software Engineer (Backend) at Axiomatic, you will:

• Design and build scalable backend services (FastAPI, FastMCP, Python)
• Own key features end-to-end: from API design to database schema to deployment
• Integrate AI capabilities (LLMs, Agents) into production systems
• Collaborate with frontend, AI, and infrastructure teams on architecture and delivery
• Ensure system reliability, performance, and security
• Mentor other engineers as the team grows

Key Responsibilities

Architecture & Design

• Contribute to system architecture and technical decisions
• Design for scalability, reliability, and security
• Propose and implement improvements to codebase and infrastructure
• Document technical designs and API contracts
• Ensure best practices are followed by the team

Backend Development

• Design and implement REST APIs using FastAPI
• Build scalable, maintainable, and testable services
• Design database schemas and optimize SQL queries (PostgreSQL)
• Integrate with external services (OpenAI, Anthropic)
• Optimize API performance, latency, and throughput

Quality & Testing

• Write comprehensive unit and integration tests
• Participate in code reviews (give and receive feedback)
• Debug and resolve production issues
• Maintain high code quality standards

Collaboration & Mentorship

• Work closely with Tech Lead on architecture and roadmap
• Partner with AI Platform Engineer on AI integrations
• Mentor mid-level engineers and share knowledge

Required Skills & Experience

Must-Have

• 7+ years of backend development experience
• Deep knowledge in Python, FastAPI
• Strong database skills: PostgreSQL, SQL, ORMs (SQLAlchemy)
• Experience designing REST APIs: best practices, versioning, documentation
• Cloud platform experience: GCP preferred (AWS, Azure acceptable)
• Testing mindset: unit tests, integration tests, TDD
• Version control & CI/CD: Git, GitHub Actions, Docker
• Strong problem-solving skills: debugging, performance optimization
• Fluent in English (Spanish is a plus)

Nice-to-Have

• Experience with FastMCP
• Familiarity with LangChain, Pydantic AI or similar frameworks
• Knowledge of async programming (asyncio, async/await)
• Familiarity with AI/ML APIs (OpenAI, HuggingFace, Vertex AI)
• Understanding of infrastructure as code (Terraform)
• Experience with microservices architecture

Tech Stack

Current Stack:

• Backend: Python, FastAPI, SQLAlchemy, Pydantic AI, Alembic
• Databases: PostgreSQL, Redis (caching)
• APIs: REST, WebSockets, SSE
• AI/ML: OpenAI API, Anthropic, Gemini
• Cloud: Google Cloud Platform (Cloud Run, Cloud SQL, GCS, VPCs, Bucket)
• Infrastructure: Terraform, Docker
• CI/CD: GitHub Actions, Terraform
• Testing: pytest, pytest-asyncio, pytest-cov

Palo Alto

Our formula for success is to hire exceptional people, encourage their ideas and reward their results.

As an AI Research Intern, you will be an integral member of a team of experienced technologists, quantitative researchers, and traders. You will collaborate closely with other researchers to solve challenging AI and machine learning problems. Your projects will vary depending on priorities at the start of your employment and could include solving forecasting problems or developing large language models (LLMs). We are looking for individuals eager to learn new AI technologies, create innovative solutions, and choose the right tools to directly impact our business. You will be surrounded by cutting-edge technology, given immediate responsibility, mentored by industry-leading experts, and attend a robust training program to ensure your success at DRW.

How you will make an impact… Algorithm Development: Creating and testing new AI models and algorithms to solve specific problems or improve existing methods. Data Engineering: Building data pipelines for model training and evaluation, including data collection, cleaning, preprocessing, and labeling, while contributing to better data management practices. Model Testing & Evaluation: Designing and implementing rigorous testing frameworks to assess model performance and identify areas for improvement. Collaboration: Working closely with team members to establish and refine research methodologies, promoting peer reviews, testing, and thorough documentation. Research & Learning: Staying updated on the latest AI techniques and advancements, sharing insights, and actively bringing improvements to research processes.

What you bring to the team… Are pursuing a PhD in artificial intelligence, machine learning, computer science, or a related field graduating between December 2026 and June 2027. Strong foundation in AI concepts. Strong knowledge of machine learning. Solid technical and programming skills (Python, Java, GitHub). Familiarity with machine learning framework (Spark, PyTorch, etc.). Excellent analytical, problem-solving, and communication skills. Deep interest in financial markets.

Preferred Skills: Experience with NLP tasks Knowledge of TensorFlow or PyTorch. Basic understanding of MLOps principles (monitoring, versioning, model serving).

Learning Opportunities: Gain in-depth experience with cutting-edge ML/AI techniques and model deployment. Develop robust machine learning research skills, from data engineering to model evaluation, while contributing to advancements in AI methodologies and practices. Contribute to research projects with potential impact on financial decision-making and other applied domains. Engage in fostering a collaborative research culture, driving improvements in research quality, and interdisciplinary collaboration.

What to expect during the internship Meaningful projects: Each project, advised by a trader, promotes a comprehensive learning experience and provides you with real-world work experience. Community: Throughout the summer, we host a variety of educational, social and team-building activities to explore the city, foster friendships and camaraderie. Housing: DRW provides fully furnished apartments located close to the office – making your morning commute as easy as possible. Mentorship: You’ll build a professional relationship with an experienced mentor in your field. Mentors and mentees meet to discuss goals, challenges and professional development and explore the city together at our mentor outings. Education: As the trading industry continually evolves, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. You’ll complete an options course taught by an experienced trader and participate in a technology immersion course to better understand how technology and trading intersect.

Redwood City, CA

Biohub is leading the new era of AI-powered biology to cure or prevent disease through its 501c3 medical research organization, with the support of the Chan Zuckerberg Initiative.

Biohub supports the science and technology that will make it possible to help scientists cure, prevent, or manage all diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating diseour organization and research partners all for the purpose of contributing to greater understanding of human cell function.

You will have the opportunity to work closely with teams of scientists, computational biologists, engineers and to collaborate with our grantees, with our institutes, and other external labs and organizations. Your work will inspire and enhance the production and analysis of datasets by teams and collaborators. Scientific focus areas could include single cell biology, imaging, genomics, and proteomics.

What You'll Do Working with the AI Research Scientists, iterate on, optimize, deploy, and maintain innovative machine learning models, systems, and software tools that enable the analysis and interpretation of AI models for Biology Work with cross-functional team members to quickly iterate on system performance to meet/stay ahead of users’ needs - e.g. we get feedback that the model doesn't scale to X million so working with our user researcher/scientist/product team to iterate on the solution. Partner with research scientists to build robust data loader pipelines for scalable distributed training and evaluation. Serve as an interface to product and engineering teams to understand how models may need to evolve to support multiple use cases. Develop model evaluation and interpretability frameworks that help biologists understand which data features drive model predictions Build reusable engineering utilities that can unlock experimentation velocity across research initiatives in the organization Optimize model architectures to enhance performance, fine-tune accuracy, and efficiently manage infrastructure resources

What You'll Bring Experience in working with a highly interactive and cross-functional collaborative environment with a diverse team of colleagues and partners solving complex problems through applied deep learning. A track record and expertise in developing deep learning models on large-scale GPU clusters, using techniques of distributing training such as DDP, FSDP, Model parallelism, low-precision training, profiling and optimizing AI/ML code, fine tuning models. Expertise in leading end-to-end experimentation pipelines for training and evaluating deep learning models, with particular focus on experiment tracking and reproducibility. A good working knowledge of Python-based ML libraries and frameworks such as PyTorch, JAX, TensorFlow, NumPy, Pandas, and Scikit-learn. Experience in using modern frameworks for distributed computing and infrastructure management, particularly as related to ML models such as PyTorch Lightning, Deepspeed, TransformerEngine, RayScale etc. Ability to effectively balance exploratory research with robust engineering practices. A good working knowledge of general software engineering practices in a production environment. The ability to work independently and as part of a team, and have excellent communication and interpersonal skills. Have a Masters in computer science with a focus on machine learning & data analytics, or equivalent industry experience and at least 6-8 years of experience developing and applying machine learning methods.

USA or International

The Renaissance Philanthropy Engineering Hub provides on-demand development technical assistance in support of grant-funded educational technology projects. Our support allows mission-driven teams to overcome hurdles and achieve their technical and impact goals. As a Full Stack Software Engineer, you will act as a full-service consultant and developer to support projects through strategy advice, technical reviews, prototyping, evaluation, and development of new product functionality.

Shanghai

Our Research Summer Internship program will give you real insights into how data and research is used to improve global financial markets. Expand your knowledge of the financial markets and solve challenging problems that could impact the way we trade. Plus, if you’ve excelled over the summer and shown us your potential, you could receive an offer to join us as a graduate quantitative researcher. With Optiver’s internship program, your work improving the market starts today.

Who we are: Optiver is a global market maker founded in Amsterdam, with offices in London, Chicago, Austin, New York, Sydney, Shanghai, Hong Kong, Singapore, Taipei and Mumbai. Established in 1986, today we are a leading liquidity provider, with close to 2,000 employees in offices around the world, united in our commitment to improve the market through competitive pricing, execution and risk management. By providing liquidity on multiple exchanges across the world in various financial instruments we participate in the safeguarding of healthy and efficient markets. We provide liquidity to financial markets using our own capital, at our own risk, trading a wide range of products: listed derivatives, cash equities, ETFs, bonds and foreign currencies.

What you’ll do: As a Quantitative Research Intern, you’ll work with our researchers and traders on real-life research projects, that directly impact the way we trade. Our quantitative researchers are responsible for the accuracy of our core pricing models. They work closely with our traders to analyse and improve all facets of our trading strategies. As part of the internship, you’ll get to: • Perform extensive analysis in order to implement new algorithms that support and improve our existing models. • Develop risk management and portfolio optimisation tools to improve our execution algorithm. • Work with petabytes of low latency, high-frequency market data sets. • Collaborate with our developers to test and drive changes to our trading system, that will improve our ability to make successful trades. • Keep up to date on the latest development of new models and technologies • No previous experience in trading or financial markets? You bring the passion and we’ll have the training to support you along the way

Who you are: • PhD student, who will graduate during 2028. • Major in a highly quantitative field. • Strong knowledge of probability and statistics, experience in machine learning and time-series analysis is a big plus. • Programming experience in any language (C, C++, Python, JAVA, etc.), ideally with a preference towards Python. • Ability to carry a project on your own in a structured way within a short timeframe. • Experience in working with large datasets. • Both a self-motivated contributor and a team player, with an entrepreneurial attitude and hunger for success. • Interest in the trading/quantitative finance industry.

What you’ll get: • The chance to work alongside diverse and intelligent peers in a rewarding environment. • Competitive remuneration, including an attractive bonus structure and additional leave entitlements. • Training, mentorship and personal development opportunities. • Daily breakfast, lunch and snacks. • Gym membership, sports and leisure activities, plus weekly in-house chair massages. • Regular social events, clubs and Friday afternoon drinks.

How to apply: If you’re interested in taking your career to the next level and work on one of the most exciting trading floors in China mainland, apply now via the form below. While we love how bilingual our teams are, be sure to submit the below application materials in English: • Resume • Academic transcripts, including Bachelors and Masters and PhD if any

For any other inquiries, please email chinacareers@optiver.com.au.

Location: Aalto University, Finland

Topic: Generative Models, Geometric Deep Learning, Neurosymbolic Methods

Applications: LLMs and Drug Discovery

Ideal background: Strong mathematical/theoretical training, and experience and comfort with programming in deep learning

Contact: Send an email with your CV to Vikas Garg (vgarg@csail.mit.edu)
​​​

Amsterdam

As a Quantitative Research Intern, you will get to work with our research team of mathematicians, scientists and technologists, to help develop the models that drive Optiver’s trading. You will tackle a practical research challenge that has impact and directly influences Optiver’s trading decisions. In our business, where the markets are always evolving, you will use your skills to predict its movements.

What you’ll do Led by our in-house education team, you will delve into trading fundamentals and engage in research projects that make a real difference. You will enhance your understanding of trading principles and gain hands-on experience by trading on live markets using real Optiver technology, with simulated capital. For the ten-week internship, you will get support from experienced researchers during your research project work, providing you exposure to a variety of areas, including: • Deep dive into trading and research fundamentals, from theoretical concepts to financial markets, strategies and cutting-edge technology • Using statistical models and machine learning to develop trading algorithms • Leveraging big data technologies to analyse trading strategies and financial instruments to identify trading opportunities • Combining quantitative analysis and high-performance implementation to ensure efficiency and accuracy of your models • Gain exposure to various trading and research desks and experience the financial markets first-hand Based on your performance during the internship, you could receive an offer to join our firm full-time after your studies.

What you’ll get You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the toughest problems in the financial markets. In addition, you’ll receive: • A highly competitive internship compensation package • Optiver-covered flights and accommodation in the city centre for the duration of the internship • Extensive office perks, including breakfast and lunch, world-class barista coffee and Friday afternoon drinks • The opportunity to participate in sports and leisure activities, along with social events exclusively organised for your intern cohort

Who you are • Penultimate year student in Mathematics, Statistics, Computer Science, Physics or a related STEM field, with the ability to work full time upon graduation in 2027 • Solid foundation in mathematics, probability and statistics • Excellent research, analytical and modelling skills • Independent research experience • Proficiency in any programming language • Knowledge of machine learning, time-series analysis and pattern recognition is a plus • Strong interest in working in a fast-paced, collaborative environment • Fluent in English with strong written and verbal communication skills

Diversity statement Optiver is committed to diversity and inclusion. We encourage applications from candidates from any and all backgrounds, and we welcome requests for reasonable adjustments during the process to ensure that you can best demonstrate your abilities. Please let us know if you would like to request any reasonable adjustments by contacting the Recruitment team via the contact form, selecting “Reasonable Adjustments” as the subject of your inquiry.

For answers to some of our most frequently asked questions, refer to our Campus FAQs.

For applicants based in India, our entry route is via the placement office internship hiring season (July/August).

*We accept one application per role per year. If you have previously applied to this position during this season and have been unsuccessful, you can reapply once the next recruitment season begins in 2026.

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

Pinterest helps Pinners discover and do what they love. Homefeed is literally the first surface Pinners see when they open the app and so it forms the front-and-center of the Pinterest experience for 400M+ pinners every month. The Homefeed Relevance team’s mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Tech Lead Architect who can drive cross-team engineering efforts for shipping ML-driven product experiences to our pinners. You'll have the opportunity to work on various innovative projects of new product experiences, build large-scale low-latency systems and state-of-the-art machine learning models, and deliver great impact to our pinners and business metrics.

What you'll do:

• Improve relevance and the user experience on Homefeed.
• Work on state-of-the-art large-scale applied machine learning projects.
• Improve the efficiency and reliability of large-scale data processing and ML inference pipeline.
• Improve our engineering systems to improve the latency, capacity, stability and reduce infra cost.

What we're looking for:

• Languages: Python, Java.
• Machine Learning: PyTorch, TensorFlow.
• Big data processing: Spark, Hive, MapReduce.
• 7+ years’ experience with recommender systems or user modeling, implementing production ML systems at scale.
• 7+ years’ experience with large-scale distributed backend services.
• Experience working with deep learning and generative AI models.
• Experience closely collaborating with product managers/designers to ship ML-driven user-facing products.
• Bachelor’s in computer science or equivalent experience.

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.