Remote - Americas

Applied Machine Learning Engineer

At Shopify, our Applied Machine Learning Engineers tackle the most challenging technical problems in commerce. By leveraging vast datasets and cutting-edge machine learning technologies, like multimodal LLMs, embeddings, etc., you will develop ways that redefine how merchants connect with buyers. Your work will empower merchants with advanced tools and systems that enhance search, discovery, and agents at a global scale.

As an Applied Machine Learning Engineer, you will work with petabyte-scale data and utilize state-of-the-art ML methods to build and deploy models that serve millions of users. You'll be at the forefront of AI innovation, using technologies including LLM posttraining, reinforcement learning, and model quantization, to redefine what’s possible in e-commerce.

Key Responsibilities:

• Analyze and interpret large-scale datasets to drive model development and optimization
• Collaborate with cross-functional teams to integrate ML solutions into Shopify's core products
• Design, build, and deploy agents and multimodal LLMs that improve merchant and buyer interactions
• Stay current with the latest advancements in machine learning technologies and frameworks
• Document and share technical insights and best practices across teams

Qualifications:

• Extensive experience in building and deploying machine learning models at scale
• Proficiency in using ML frameworks (e.g., TensorFlow, PyTorch) and programming languages like Python
• Strong analytical and problem-solving skills in solving real-world product problems
• Excellent communication skills and the ability to work in a fast-paced, collaborative environment

This role may require on-call work.

Ready to deploy your next breakthrough model? Join the team that’s making commerce better for everyone.

At Shopify, we pride ourselves on moving quickly—not just in shipping, but in our hiring process as well. If you're ready to apply, please be prepared to interview with us within the week. Our goal is to complete the entire interview loop within 30 days. You will be expected to complete a live pair programming session, come prepared with your own IDE.

Location USA, WA, Seattle

Description As part of the AWS Applied AI Solutions organization, we're advancing the frontier of visual reasoning and agentic AI technologies. Our vision is to develop sophisticated AI systems that can understand, interpret, and reason about visual information at human-like levels, enabling breakthrough applications across multiple industries.

As a Principal Research Scientist, you'll drive research in visual reasoning and generative AI, defining novel research directions while ensuring impact through practical applications. Your day-to-day work will involve developing theoretical frameworks, conducting deep technical investigations, and validating complex hypotheses through rigorous experimentation. You'll mentor junior scientists in research methodology and experimental design while collaborating with cross-functional teams to translate research insights into scalable solutions.

Your expertise and guidance will be instrumental in shaping both the technical direction of our visual AI initiatives and the development of junior research talent on the team.

New York

As a Data Scientist, you will analyze complex datasets, build predictive models, and generate insights that drive strategic decisions. You’ll partner with engineers, researchers, and business leaders to turn data into actionable outcomes. Opportunities may be available from time to time in any location in which the business is based for suitable candidates. If you are interested in a career with Citadel, please share your details and we will contact you if there is a vacancy available.

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.

We are looking for a Principal Machine Learning Engineer, a senior technical visionary, to be the Principal Technical Lead for our Content Engineering team setting up overall technical strategy, unified technical architecture and defining a roadmap for industry‑leading methodology. Strong hands-on machine learning background including deep learning architectures, generative AI, low-resource ML (zero shot, few shot), responsible AI and large scale deployment and measurement is required.

As the Principal Tech Lead for Content you'll be responsible for the technical direction, strategy and health of our Content Engineering org. You'll ensure that our technology can deliver on the business/product requirements necessary to keep Pinterest safe and positive. This means working with other leads to set and execute a long-term strategy for Trust, aligning the strategy with other clients where it makes sense and communicating to leadership our current status and path to having world-class Trust capabilities. You'll also foster a healthy community where all Trust engineers can learn best practices, collaborate effectively and understand our technical direction.

What you’ll do

• Develop strong partnerships with product teams to understand and proactively address future technology needs and current developer pain points.
• Champion and drive large-scale, cross-functional initiatives that improve the trust and safety of our platform.
• Act as the ultimate “customer representative” for engineers on Trust, including representing needs to leadership and prioritizing projects on the platform teams that ensure high quality capabilities and a world-class Pinner experience.
• Scale your leadership through both direct mentorship and via best practices, processes, training and tools.
• Ensure solid technical plans are in place for projects within Trust via direct review or delegation.
• Be the technical point of contact for decisions that impact the whole Pinterest platform and for cross-functional partners like policy, operations and legal.

What we’re looking for:

• Deep expertise building large scale ML systems at scale with modern frameworks.
• Knowledge of (and a passion for) building responsible and quality‑first discovery surfaces.
• Track record of delivering large, cross-functional projects across multiple organizations.
• Strong written and verbal communication skills and proven ability to collaborate cross-functionally.

Senior Software Engineer (Frontend, UX)

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 focusing on Frontend at Axiomatic, you will:

• Own the entire product interface: design, implement, and maintain our web applications.
• Define UX/UI patterns for AI-assisted workflows focused on scientific workflows (chat interfaces, data visualizations).
• Collaborate closely with backend and AI teams to integrate complex functionality seamlessly.
• Establish frontend standards: component libraries, design systems, testing practices.
• Mentor mid engineers as the team grows.
• Balance beautiful design with technical performance (fast load times, responsive UI, accessibility).

Key Responsibilities

Product Development

• Build and maintain our web application (React Next.js, TypeScript).
• Design intuitive UX flows for AI-powered features (prompt editing, model selection, result visualization).
• Implement responsive, accessible, and performant UI components.
• Integrate with backend APIs (FastAPI, REST, WebSockets, SSE).
• Work closely with Product Owner to translate requirements into UI.

UX/UI Design

• Create wireframes, mockups, and prototypes for new features.
• Establish and maintain design system and component library.
• Conduct user testing and iterate based on feedback.
• Ensure consistency across the product.
• Design for technical users (researchers, engineers, data scientists).

Frontend Ownership

• Define frontend architecture and best practices.
• Ensure best practices are applied by the team.
• Set up testing strategy (unit, integration, smoke, e2e tests).
• Optimize performance (lazy loading, caching, bundle size).
• Review code and mentor team members.
• Contribute to technical roadmap and planning.

Collaboration

• Work with Backend/Tech Lead on API design.
• Collaborate with Product Owner on feature prioritization.
• Present demos and gather feedback from stakeholders.

Required Skills & Experience

Must-Have

• 7+ years of frontend development experience.
• Expert in modern JavaScript/TypeScript and React (Next.js).
• Strong UX/UI design skills: wireframing, prototyping, design systems.
• Understanding of web performance optimization and SEO.
• Proficiency with CSS (SCSS, Tailwind, etc.).
• Experience with state management (Redux, RxJS, etc.).
• Collaboration and communication skills.
• Fluent in English (Spanish is a plus).
• Knowledge of WebSockets and real-time communication.

Nice-to-Have

• Experience building AI-powered UIs (CopilotKit) chat interfaces, code editors, notebook-style interfaces).
• Background in scientific or technical product UX.
• Figma or similar design tool proficiency.
• Understanding of backend APIs (REST, GraphQL).

Tech Stack

Current Stack:

• Frontend: React (Next.js), TypeScript
• Styling: SCSS / Tailwind
• State Management: RxJS / Redux
• Backend APIs: FastAPI (Python), REST, WebSockets
• Testing: Jest, Cypress, Playwright
• Design: Figma
• Infrastructure: GCP, Cloud Run, CI/CD via GitHub Actions

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.

ABOUT POOLSIDE

In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers.

poolside exists to be this company - to build a world where AI will be the engine behind economically valuable work and scientific progress.

ABOUT OUR TEAM

We are a remote-first team that sits across Europe and North America and comes together once a month in-person for 3 days and for longer offsites twice a year.

Our R&D and production teams are a combination of more research and more engineering-oriented profiles, however, everyone deeply cares about the quality of the systems we build and has a strong underlying knowledge of software development. We believe that good engineering leads to faster development iterations, which allows us to compound our efforts.

ABOUT THE ROLE

You would be working on our pre-training team focused on building out our distributed training of Large Language Models and major architecture changes. This is a hands-on role where you'll be both programming and implementing LLM architectures (dense & sparse) and distributed training code all the way from data to tensor parallelism, while researching potential optimizations (from basic operations to communication) and new architectures & distributed training strategies. You will have access to thousands of GPUs in this team.

YOUR MISSION

To train the best foundational models for source code generation in the world in minimum time and with maximum hardware utilization.

RESPONSIBILITIES

• Follow the latest research on LLMs and source code generation. Propose and evaluate innovations, both in the quality and the efficiency of the training
• Do LLM-Ops: babysitting and analyzing the experiments, iterating
• Write high-quality Python, Cython, C/C++, Triton, CUDA code
• Work in the team: plan future steps, discuss, and always stay in touch

SKILLS & EXPERIENCE

• Experience with Large Language Models (LLM)
• Deep knowledge of Transformers is a must
• Knowledge/Experience with cutting-edge training tricks
• Knowledge/Experience of distributed training
• Trained LLMs from scratch
• Coded LLMs from scratch
• Knowledge of deep learning fundamentals
• Strong machine learning and engineering background
• Research experience
• Author of scientific papers on any of the topics: applied deep learning, LLMs, source code generation, etc. - is a nice to have
• Can freely discuss the latest papers and descend to fine details
• Is reasonably opinionated
• Programming experience: Linux, Strong algorithmic skills, Python with PyTorch or Jax, C/C++, CUDA, Triton
• 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 Eiso, our CTO & Co-Founder

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

Location UC Berkeley, Berkeley, CA US

Description The Bakar Institute of Digital Materials for the Planet (BIDMaP) is an institute in UC Berkeley’s new College of Computing, Data Science, and Society (CDSS), bringing together AI, machine learning and data science with the natural sciences to address the planet’s most urgent challenges. BIDMaP is focused on developing new techniques in AI that will enhance and accelerate discovery in experimental natural sciences and development of novel materials to address planetary challenges. To this end, BIDMaP promotes collaboration between world-renowned AI/ML experts, chemists, physicists and other physical scientists. By combining cutting-edge chemistry with artificial intelligence, machine learning, and robotics, BIDMaP is reimagining how materials can be designed and optimized for clean energy, clean air, clean water, advanced batteries, and sustainable chemical production.

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.

New York

Software Developer

Technology is integral to virtually everything the D. E. Shaw group does, which is why we seek exceptional software developers with a range of quantitative and programming abilities. Members of our technical staff collaborate on challenging problems that directly impact the firm’s continued success, utilizing their excellent analytical, mathematical, and software design skills as well as some of the most advanced computing resources in the world. Software developers have the opportunity to be part of a collegial, collaborative, and engaging working environment.

What you'll do day-to-day

Specific responsibilities may include formulating statistical models for our computerized trading strategies, developing distributed systems to analyze and react to incoming data in real time, and creating tools for advanced mathematical modeling.

Who we're looking for

• Successful developers have traditionally been the top students in their programs and have extensive software development experience.
• We welcome outstanding candidates at all experience levels.
• The expected annual base salary for this position is 225,000USD. Our compensation and benefits package includes substantial variable compensation in the form of a year-end bonus, guaranteed in the first year of hire, a sign-on bonus, a relocation bonus, and benefits including medical and prescription drug coverage, 401(k) contribution matching, wellness reimbursement, family building benefits, and a charitable gift match program.