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The goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers. Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like ___ and ___. Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real-world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large-scale fine-tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications. • Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers., • Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics, • Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines, • Work with massive datasets to develop both generic models as well as fine tune models for specific products, • Build scalable machine learning infrastructure to automate and optimize our ML services, • Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations, • Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment, • This role will require an active security clearance or the ability to obtain a security clearance., • Extensive experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environment, • Solid background in algorithms, data structures, and object-oriented programming, • Strong programing skills in Python, experience in Tensorflow or PyTorch, • Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization, • Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments, • Experience with computer vision, generative AI models, large language models, or agentic systems About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

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___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. As a Data Scientist in our Core organization, you will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. What you'll do: • Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love, • Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners, • Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development, • Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest What we're looking for: • 5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data, • Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields, • Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn, • A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output, • Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R), • Excellent communication skills and ability to explain learnings to both technical and non-technical partners, • A team player who's able to partner with cross-functional leadership to quickly turn insights into actions, • Bachelor's degree in Computer Science, a related field or equivalent experience Relocation Statement: • This position is not eligible for relocation assistance. Visit our ___ page to learn more about our working model. #LI-HYBRID At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$139,764—$287,749 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. Internships at Planet: Planet's Summer 2026 internships are full-time, paid 12-week positions located in our San Francisco HQ Office. Program Dates: * June 1 - August 21 * June 22 - September 11 About the Role: Planet's mission is to image the entire world every day, making global change visible, accessible, and actionable. We've successfully captured daily imagery of the Earth, and now we're taking the next bold step: making our spacecraft smarter and more efficient using AI and machine learning. We are seeking a talented AI/ML Intern with an emphasis on geospatial analytics and remote sensing to join our Edge Compute team. This is a high-impact role for an ambitious undergraduate or graduate student to work at the intersection of orbital mechanics, computer vision, and hardware-constrained systems. You will help build the algorithms of our next-generation satellites, moving beyond simple image capture to autonomous vision systems that can detect events and react to dynamic Earth conditions in real-time. The ideal candidate is passionate about AI/ML, autonomy, and squeezing performance out of neural networks to run them in the harsh, resource-constrained environment of space. This is a full-time, hybrid role which will require you to be in our San Francisco, HQ 3 days per week. Impact You'll Own: • Design and train computer vision models (object detection, segmentation, change detection) specifically optimized for satellite imagery and edge deployment., • Experiment with model compression techniques-including quantization, pruning, and knowledge distillation-to ensure high-performance inference on low-power hardware., • Explore algorithms that allow satellites to autonomously identify high-value targets (e.g., ships, wildfires, or cloud-free regions) to optimize tasking and downlink., • Profile and validate model performance (latency, power consumption, memory footprint) on edge hardware targets like NVIDIA Jetson or similar accelerators., • Assist in the curation and augmentation of "space-ready" datasets, accounting for unique orbital challenges like varying off-nadir angles and atmospheric noise., • Build end-to-end prototypes that demonstrate autonomous "closed-loop" systems where ML outputs directly influence satellite actions., • Partner with flight software engineers to transition research prototypes into robust, production-ready code for orbital environments., • Currently pursuing or recently completed a degree in Computer Science, Robotics, Computer Engineering, Aerospace Engineering, Electrical Engineering, or a related field., • A solid understanding of deep learning fundamentals, particularly in Computer Vision (CNNs or Vision Transformers)., • Proficiency in Python and hands-on experience with at least one major ML framework (e.g., PyTorch, JAX)., • The ability to break down complex problems and a strong desire to learn how to deploy models on resource-constrained hardware., • Excellent communication skills with the ability to document technical workflows and explain model trade-offs (e.g., accuracy vs. speed vs power)., • Hands-on experience with NVIDIA Jetson devices. April 4, 2026 at 11:59p PT EAR/ITAR Requirements: This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate's ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls. Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Commuter Benefits, • Paid time off for holidays and company-wide days off, • Internet reimbursement The US hourly rate range for this position at the commencement of employment is $35 - $60. The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. San Francisco Salary Range$40—$60 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging-dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. ___ Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the ___, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the ___, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We are currently exploring AI interviewing technologies to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a Planet AI Notetaker for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools-e.g. Large Language Models (LLMs), deep fake technology, etc.-is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

Scale AI is seeking highly skilled and motivated Software Engineers to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in delivering high-impact AI-powered mission solutions for government customers. Our scalable and high-performance platform forms the foundation for these solutions, and your expertise will be instrumental in designing and implementing systems that can handle billions of data points with exceptional performance. You will: • Design and implement scalable backend systems for Federal customers, leveraging Scale's modern and cloud-native AI infrastructure, • Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments, • Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners, • Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions, • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions, • Contribute to the platform roadmap and product strategy for Scale AI's Federal business, playing a key role in shaping the future direction of our offerings, • This role will require an active TS/SCI security clearance or the ability to obtain a security clearance. Ideally you'd have: • Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases, • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles, • Machine Learning Infrastructure: Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and experience in designing and implementing machine learning infrastructure. Understanding of model serving, monitoring, and deployment strategies is beneficial, • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles, • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research and resources that serve all of our enterprise clients. As an ML Sys Research Engineer, you'll work on building out the algorithms for our next-gen Agent RL training platform, support large scale training, and research and integrate state-of-the-art technologies to optimize our ML system. Your customer will be other MLREs and AAIs on the Enterprise AI team who are taking the training algorithms and applying them to client use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: • Build, profile and optimize our training and inference framework., • Post-train state of the art models, developed both internally and from the community, to define stable post-training recipes for our enterprise engagements., • Collaborate with ML teams to accelerate their research and development, and enable them to develop the next generation of models and data curation.., • At least 1-3 years of LLM training in a production environment, • Passionate about system optimization, • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc., • Ability to demonstrate know-how on how to operate the architecture of the modern GPU cluster, • Experience with multi-node LLM training and inference, • Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc., • Strong written and verbal communication skills to operate in a cross functional team environment. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Lead applied ML engineering on Scale's Applied ML team, powering data infrastructure for leading agentic LLMs (ChatGPT, Gemini, Llama). You will build scalable multi-agent systems to validate agentic reasoning and behaviors, scale human expertise, and drive research into real-world agent reliability failures despite strong benchmarks, shipping production fixes. Ideal for exceptional engineers with deep research rigor and a relentless focus on practical, high-impact systems. You will iterate rapidly with data, leverage AI tools to accelerate development, and collaborate tightly across engineering, product, and research. If you excel at turning frontier agent research into reliable deployed systems, we want to hear from you. You will: • Build and deploy multi-agent systems for agentic reasoning validation, • Develop pipelines to detect errors and scale human judgment, • Combine classical ML, LLMs, and multi-agent techniques for reliability, • Lead research into agent failure modes and ship fixes, • Use AI tools to speed prototyping and iteration, • Build data-driven evaluations and deploy rapid improvements, • PhD or MSc in Computer Science, Mathematics, Statistics, or related field, • 3+ years shipping scaled production ML systems, • Demonstrated real-world impact, • Mastery of PyTorch, TensorFlow, JAX, or scikit-learn, • Deep expertise in agentic LLMs and multi-agent systems, • Strong software engineering and microservices (AWS/GCP), • Rapid, data-driven iteration, • Proficiency using AI tools to accelerate work, • Strong research depth with practical bias, • Experience prototyping agent evaluation/reliability systems, • Human-in-the-loop or annotation pipeline work, • Open-source contributions in agents, evaluation, or alignment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is seeking highly skilled and motivated Software Engineers to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in delivering high-impact AI-powered mission solutions for government customers. Our scalable and high-performance platform forms the foundation for these solutions, and your expertise will be instrumental in designing and implementing systems that can handle billions of data points with exceptional performance. You will: • Design and implement scalable backend systems for Federal customers, leveraging Scale's modern and cloud-native AI infrastructure, • Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments, • Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners, • Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions, • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions, • Contribute to the platform roadmap and product strategy for Scale AI's Federal business, playing a key role in shaping the future direction of our offerings, • This role will require an active TS/SCI security clearance or the ability to obtain a security clearance. Ideally you'd have: • Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases, • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles, • Machine Learning Infrastructure: Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and experience in designing and implementing machine learning infrastructure. Understanding of model serving, monitoring, and deployment strategies is beneficial, • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles, • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations. About This Role This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale's data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions. Ideally, you'd have: * Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes. * A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.). * At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning. * Strong written and verbal communication skills, along with the ability to work effectively across teams. Nice to have: * Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX. * Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents. * Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar. * Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH. * Proficiency in cloud-based ML development, with experience in AWS or GCP environments. Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. We do not conduct LeetCode-style problem-solving assessments. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000—$315,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About the ACE team The Agent Capabilities & Environments (ACE) team, part of Scale's Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more. About This Role This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions. • Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes., • A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.), • At least three years of experience addressing sophisticated ML problems, either in a research setting or product development., • Strong written and verbal communication skills and the ability to operate cross-functionally., • Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax., • Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents., • Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc., • Familiarity with agentic reasoning methods such as STaR and PLANSEARCH Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$275,000—$350,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Senior Machine Learning Engineer - Model Evaluations, Public Sector The Public Sector ML team at Scale deploys advanced AI systems-including LLMs, agentic models, and multimodal pipelines-into mission-critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions. You will: • Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge-based evaluations., • Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes., • Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing., • Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes., • Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems., • Design and execute stress tests and red-teaming workflows to uncover vulnerabilities and edge cases. Ideally you'd have: • Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings., • Strong programming skills in Python; experience with TensorFlow or PyTorch., • Background in algorithms, data structures, and object-oriented programming., • Experience with LLM pipelines, simulation environments, or automated evaluation systems., • Graduate degree in CS, ML, or AI., • Cloud experience (AWS, GCP) and model deployment experience., • Experience with LLM evaluation, CV robustness, or RL validation., • Knowledge of interpretability, adversarial robustness, or AI safety frameworks., • Familiarity with ML evaluation frameworks and agentic model design. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

We're looking for a Principal Applied Research Scientist to join Procore's AI & Frontier Models organization. In this role, you'll lead applied research and system development at the intersection of machine learning, spatial reasoning, and construction data to solve some of the industry's most complex and ambiguous problems. The primary goal of this role is to build defensible spatial intelligence capabilities that extract value from drawings, BIM, and site data today while laying the foundation for 3D understanding, autonomy, and robotics tomorrow. As a Principal Applied Research Scientist, you'll partner with ML engineers, software engineers, product leaders, and construction domain experts to design, prototype, and deploy frontier ML systems that translate research into measurable business outcomes. Use your expertise in applied machine learning, largescale data systems, and technical leadership to drive stepchange improvements in constructability, risk reduction, and operational efficiency. This is a rare opportunity to shape Procore's longterm technical direction in spatial intelligence while delivering nearterm ROI-join us and help define the future operating system of construction. Apply today. This position reports into the Engineering Manager and will be based in our San Francisco office. We're looking for someone to join us immediately. * Lead the technical vision, design, and execution of applied research initiatives focused on spatial intelligence across 2D drawings, BIM, and site data. * Design, train, and evaluate machine learning models for constructability analysis, clash detection, and design risk identification. * Build highquality, proprietary annotated datasets and define data strategies that create longterm competitive advantage. * Translate ambiguous research problems into concrete system designs, proofs of concept, and productionready ML pipelines. * Partner closely with engineering and product teams to integrate research outputs into scalable, reliable systems. * Act as a technical SME for spatial intelligence, mentoring senior engineers and researchers across the organization. * Author and review technical documentation, white papers, and design proposals that shape Procore's AI strategy. * Proactively identify gaps in technical strategy and architecture, and independently drive solutions that improve system quality, robustness, and impact. * PhD or Master's degree in Computer Science, Machine Learning, Robotics, Computer Vision, or a related field, or equivalent depth of practical experience. * 12+ years of experience (or equivalent depth) building and leading complex machine learning or software systems in production and/or applied research environments. * Demonstrated ability to set technical direction and independently lead highimpact initiatives across multiple teams or a significant business concern. * Deep expertise in applied machine learning, with a track record of translating research ideas into scalable, reliable systems that deliver measurable outcomes. * Strong foundation in computer science fundamentals, including algorithms, data structures, distributed systems, and system architecture. * Proven ability to operate effectively in highambiguity problem spaces, using data, experimentation, and proofofconcept work to create clarity and alignment. * Experience mentoring senior engineers and researchers, and serving as a technical authority and escalation point across an organization. * Excellent communication skills, with the ability to represent technical strategy, tradeoffs, and outcomes to senior leadership and crossfunctional stakeholders. Nice to have experience with technologies such as: * ML & Model Development: PyTorch, TensorFlow, largescale pretraining or finetuning workflows, multimodal or foundation models * Spatial Intelligence & Perception: Computer vision, document and diagram understanding, geometric or graphbased reasoning, 2D/3D representations * Data & Research Infrastructure: Largescale dataset creation and curation, annotation pipelines, distributed training, experiment management * Systems & Architecture: Designing and evolving MLpowered platforms and services, crossdomain integrations, reliability and performance at scale * Cloud & Compute: GPU/acceleratorbased training and inference, containerized systems, Kubernetes, cloud platforms (AWS, GCP, or equivalent) * Evaluation & Operations: Defining evaluation frameworks, model validation strategies, monitoring, and costaware optimization in production Base Pay Range: 253,552.00 - 348,634.00 USD Annual This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation. Procore is committed to offering competitive, fair, and commensurate compensation. Actual compensation will be based on a candidate's job-related skills, experience, education or training, and location. Procore will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable federal, state, and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. A criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. appropriately managing, accessing, and handling confidential information including proprietary and trade secret information, as well as accessing Procore's information technology systems and platforms; 2. interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues; and 3. exercising sound judgment.

Job Type: Term (Fixed Term) Overview RAND's ___, part of the Global and Emerging Risks (GER) Division, is seeking a technical and strategic leader to serve as Senior Research Lead - AI Security Portfolio. CAST conducts cutting-edge research on transformative, high-impact technologies-including artificial intelligence and biotechnology-to shape policies that protect global security and advance the public good. In this senior leadership role, you will oversee a large research and engineering portfolio focused on securing advanced AI systems, understanding their cyber capabilities, and informing the policy frameworks that govern them. You will report to CAST Founding Director, ___, and lead two major research teams composed of 15+ researchers and engaged in projects that span technical AI security research, cyber capability evaluation, and infrastructure development. Your work will guide RAND's broader efforts to ensure AI technologies are safe, secure, and aligned with U.S. and allied national security priorities. As Portfolio Lead, you will: * Define and drive RAND's research agenda on secure AI systems, establishing priorities across multiple teams and programs. * Lead complex, cross-functional projects integrating technical R&D, cybersecurity operations, and policy analysis. * Mentor and manage senior technical staff, project leaders, and researchers across a portfolio of 15-30 people. * Translate technical findings into actionable insights for policymakers, regulators, and industry leaders. * Oversee development of AI-specific threat models, security architectures, and evaluation tools that assess cyber risks and resilience. * Engage directly with senior government and industry stakeholders to ensure RAND's research informs decisions at the highest levels. * Represent RAND at technical and policy forums, including national security working groups, agency briefings, and expert panels. This position is structured as a focused three-year appointment to accelerate research and provide rigorous analysis that informs evidence-based policymaking in this rapidly evolving field. Every day of your tenure will count toward achieving ambitious projects in AI security. The appointment may be renewed with options for longer-term employment at RAND thereafter. RAND's reputation for excellence is built on our commitment to high-quality, rigorous analysis and objectivity. As AI Security Portfolio Lead, you will uphold that standard while guiding cutting-edge research with real-world policy impact. Qualifications All research leadership positions at RAND require excellent analytic skills; the ability to communicate clearly and effectively, both orally and in writing; the ability to work effectively as a member of a multi-disciplinary team; and a strong commitment to RAND's core values of quality and objectivity. Required: * Technical experience in AI security, cybersecurity engineering, or adjacent emerging technology fields. * Demonstrated success leading large technical or research programs, including managing multidisciplinary teams and budgets. * Proven experience designing and delivering complex projects from concept through completion. * Deep understanding of AI ___, system vulnerabilities, and cyber capability evaluation. * Strong ability to communicate complex technical issues to senior non-technical stakeholders. * Familiarity with U.S. cybersecurity policy processes and agencies. * Excellent written and verbal communication skills. Preferred: * Background in leadership at frontier AI labs, startups, or hyper-scalers * Background in AI or cybersecurity R&D, red team operations, or ___ (APT) defense. * Experience developing or overseeing secure infrastructure for AI model training and deployment. * Familiarity with AI/ML hardware and software stacks (e.g., GPUs, TPUs, CUDA, PyTorch, TensorFlow). * Experience working in or with government on AI or cybersecurity policy. * Graduate of CNODP, RIOT, FORGE, or equivalent elite technical program. Education Requirements PhD in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, Information Security, Information Technology, Mathematics, Applied Mathematics, Physics, Applied Physics, Engineering Physics, Artificial Intelligence, Machine Learning, Engineering and Public Policy, Technology and Policy, National Security Policy, Policy Analysis, Political Science, International Relations, or similar is required, with 6+ years of professional experience. OR Master's degree in the fields listed above with 9+ years of professional experience, is required. OR Bachelor's degree in the fields listed above with 12+ years of professional experience, is required. Master's or PhD preferred. Security Clearance Ability to obtain and maintain a U.S. government clearance is preferred but not required. Location We are hiring for this position in San Francisco, CA; Washington, DC; Santa Monica, CA; Pittsburgh, PA; and Boston, MA. We offer a hybrid work arrangement, combining work from home and on-site options. Fully remote work within the US will also be considered. Writing or Code Sample Either a writing sample or a code sample is required for this position. This sample can use a recent, previously written paper or technical report (e.g., journal article, master's thesis or paper written for coursework, research project, technical analysis, briefings), or source code showing technical expertise in relevant domains. Term This position is a 3-year term appointment with a possibility of renewal, alongside options for longer term employment. Salary Range: $167,300 - $261,400 RAND considers a variety of factors when formulating an offer, including but not limited to, the specific role and associated responsibilities; a candidate's work experience, education/training, skills, expertise; and internal equity.Successful candidates will be offered employment in a specific title, as determined by the candidate's education and experience. The salary range includes base pay plus RAND's sabbatic pay (which provides additional compensation above base pay when vacation is taken). In addition, RAND provides strong benefits including health insurance coverage, life and disability insurance, savings plan, paid time-off and more. Equal Opportunity Employer

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___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. Sr. Engineering Manager, AI/ML Serving Platform The AI/ML Serving Platform team provides foundational tools and infrastructure used by hundreds of AI/ML engineers across Pinterest, including recommendations, ads, visual search, growth/notifications, trust and safety. We aim to ensure that AI/ML systems are efficient, healthy (production-grade quality) and fast (for modelers to iterate upon). Pinterest is seeking a Sr. Engineering Manager to lead the team that builds the serving and deployment infrastructure for all AI/ML models at Pinterest. Systems include: • Ultra-high-performance C++ model inference engine for production recommendations and content ranking systems. TorchScript + CUDA Graph models on GPU inference, serving 500+M inferences/second., • Production GenAI & LLM model inference stack for emerging use cases., • Model routing, deployment, monitoring. Kubernetes-based provisioning., • Lead the team to deliver continual improvements in advanced model architectures, cost-efficient resource utilization, and AI/ML developer productivity., • Set technical direction for the team based on company and org priorities, • Experience managing platform engineering teams with many cross-organizational customers, • Experience leading the development of large-scale distributed serving systems, • Experience with AI/ML inference technologies (e.g. PyTorch, TensorFlow) for online serving at Web scale, • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection., • This position is not eligible for relocation assistance. Visit our___ page to learn more about our working model. #LI-REMOTE #LI-AH2 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$208,592—$429,454 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

Scale's ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform has been powering MLEs, researchers, data scientists and operators for fast and automatic training and evaluation of LLM's, as well as evaluation of data quality. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely across Scale's ML teams and researchers to build the foundation platform that supports all our ML research and development. You will be building and optimizing the platform to enable our next generation of LLM training, inference and data curation. If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you! • Build, profile and optimize our training and inference framework, • Collaborate with ML teams to accelerate their research and development and enable them to develop the next generation of models and data curation, • Research and integrate state-of-the-art technologies to optimize our ML system, • Strong excitement about system optimization, • Experience with multi-node LLM training and inference, • Experience with developing large-scale distributed ML systems, • Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc., • Strong written and verbal communication skills and the ability tooperate in a cross functional team environment, • Demonstrated expertise in post-training methods &/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$218,400—$273,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The goal of a Staff Machine Learning Engineer at Scale is to lead the design and deployment of agentic AI systems that operate in real-world, mission-critical government environments. On the Public Sector team, you'll work at the intersection of agentic ML, systems engineering, and applied research, building foundational infrastructure that enables AI systems to reason, plan, and act reliably at national scale. Our Public Sector ML Team partners directly with U.S. defense and intelligence agencies to deploy AI into classified and regulated environments. Through flagship programs like ___ and ___, we are advancing the next generation of agentic AI for geospatial reasoning, planning, and decision support. Staff Machine Learning Engineers play a central role in setting technical direction, owning core architectures, and translating ambitious ideas into production systems trusted by government operators. You will: • Lead the architecture and implementation of agentic AI systems, with a focus on long-horizon reasoning, orchestration, and system-level reliability., • Build and scale agents that perform complex geospatial reasoning, including interpreting, generating, and reasoning over maps and spatial data., • Design and improve retrieval systems across large collections of static and semi-structured documents, enabling agents to surface high-signal context efficiently., • Fine-tune and evaluate embedding models to improve recall and precision for mission-critical datasets., • Design memory systems that allow agents to persist state, operate over long contexts, and learn from prior interactions., • Own and evolve shared agentic infrastructure and core libraries, enabling reuse across teams, products, and Public Sector contracts., • Define evaluation strategies for agentic systems, including robustness testing, failure-mode analysis, and regression testing in production environments., • Partner closely with engineering managers, product leaders, and researchers to scope high-impact initiatives and unblock execution across teams. Ideally You'd Have: • 8+ years of experience building and deploying applied ML systems in production environments., • Deep experience with agentic systems, autonomous workflows, or ML systems that reason and act over multiple steps., • Strong background in ML systems engineering, including model serving, pipelines, monitoring, and evaluation., • Hands-on experience with retrieval systems, embeddings, or representation learning., • Proficiency in Python and modern ML frameworks (ex: PyTorch), with the ability to design systems end to end., • Demonstrated ability to operate at Staff-level scope: setting technical direction, owning ambiguous problems, and driving 01 initiatives to production., • High ownership over 01 systems that move directly into production., • Real-world constraints that force thoughtful engineering tradeoffs, not just model tuning., • Opportunity to shape foundational agentic infrastructure used across multiple teams and missions. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is seeking a technically rigorous and driven AI Research Engineer to join our Enterprise Evaluations team. This high-impact role is critical to our mission of delivering the industry's leading GenAI Evaluation Suite. You will be a hands-on contributor to the core systems that ensure the safety, reliability, and continuous improvement of LLM-powered workflows and agents for the enterprise. The ideal candidate has a strong foundational knowledge of large language models, a passion for tackling complex evaluation challenges, and thrives in a dynamic, fast-paced research environment. We are looking for an engineer who can think outside the box, stays current with the latest literature in AI evaluation, and is passionate about integrating novel research ideas into our workflows to build best-in-class evaluation systems. • Partner with Scale's Operations team and enterprise customers to translate ambiguity into structured evaluation data, guiding the creation and maintenance of gold-standard human-rated datasets and expert rubrics that anchor AI evaluation systems., • Analyze feedback and collected data to identify patterns, refine evaluation frameworks, and establish iterative improvement loops that enhance the quality and relevance of human-curated assessments., • Design, research, and develop LLM-as-a-Judge autorater frameworks and AI-assisted evaluation systems. This includes creating models that critique, grade, and explain agent outputs (e.g., RLAIF, model-judging-model setups), along with scalable evaluation pipelines and diagnostic tools., • Pursue research initiatives that explore new methodologies for automatically analyzing, evaluating, and improving the behavior of enterprise agents, pushing the boundaries of how AI systems are assessed and optimized in real-world contexts., • Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience., • 2+ years of experience in Machine Learning or Applied Research, focused on applied ML systems or evaluation infrastructure., • Hands-on experience with Large Language Models (LLMs) and Generative AI in professional or research environments., • Strong understanding of frontier model evaluation methodologies and the current research landscape., • Proficiency in Python and major ML frameworks (e.g., PyTorch, TensorFlow)., • Solid engineering and statistical analysis foundation, with experience developing data-driven methods for assessing model quality., • Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field., • Published research in leading ML or AI conferences such as NeurIPS, ICML, ICLR, or KDD., • Experience designing, building, or deploying LLM-as-a-Judge frameworks or other automated evaluation systems for complex models., • Experience collaborating with operations or external teams to define high-quality human annotator guidelines., • Expertise in ML research engineering, stochastic systems, observability, or LLM-powered applications for model evaluation and analysis., • Experience contributing to scalable pipelines that automate the evaluation and monitoring of large-scale models and agents. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI. This position will be a key contributor in conducting applied research in Robotics and developing ML pipelines for training and fine-tuning on data collected by Scale. In this role, you will have the opportunity to advance Robotic research, shape Scale's robotics offerings, and expand the frontier of Robotics data and model evaluation. We are seeking an exceptionally motivated and experienced Senior Machine Learning Engineer, Computer Vision to drive cutting-edge research and development in real-time and offline 2D and 3D algorithms. The successful candidate will be a hands-on technical leader responsible for translating complex computer vision algorithms from research papers into robust, production-ready systems that power our next-generation products. This role requires a deep theoretical background combined with substantial practical experience working with spatial and temporal data. You will: • Pioneer Core CV Algorithms: Lead the research, design, and implementation of novel computer vision and deep learning algorithms, with a specialized focus on 2D and 3D data (e.g point clouds)., • Focus Area Expertise: Drive innovation in key perception areas, including:, • 3D Reconstruction and SLAM: Advanced techniques for real-time 3D mapping, pose estimation, and environmental modeling from multi-modal sensor inputs (e.g., RGB-D, LiDAR)., • Hand/Body Tracking: Developing robust and precise models for hand pose estimation, gesture recognition, and full-body tracking under various lighting and occlusion conditions., • Object Detection and Tracking (MOT/SOT): Designing high-performance deep learning models for accurate detection and persistent tracking of objects and people in video streams., • Video Processing: Creating algorithms for temporal feature extraction, video-based action recognition, and motion analysis., • Model Optimization: Optimize computationally intensive models for deployment on edge devices (low power, low latency) and/or large-scale cloud infrastructure., • Technical Leadership: Serve as the subject matter expert in Computer Vision, providing technical direction and mentorship to junior engineers and cross-functional teams., • Publication & IP: Maintain state-of-the-art knowledge, evaluate recent academic publications (e.g., CVPR, ICCV, ECCV), and drive the filing of patents and publication of novel research., • Ph.D. in Computer Science, Computer Engineering, or a related quantitative field (Mathematics, Electrical Engineering, etc.) OR a Master's degree with 4+ years of equivalent professional experience in an applied research setting., • 5+ years of hands-on experience in algorithm development for 2D/3D computer vision and deep learning., • Deep Learning Frameworks: Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax)., • Programming: Mastery of Python for machine learning and strong proficiency in C++ for performance-critical algorithm implementation., • 2D/3D Fundamentals: In-depth knowledge of classical and modern computer vision fundamentals, including multi-view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles., • Building real-time and batch ML systems that analyze structured and unstructured signals, • Deep Learning Frameworks: Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax)., • Programming: Mastery of Python for machine learning and strong proficiency in C++ for performance-critical algorithm implementation., • 2D/3D Fundamentals: In-depth knowledge of classical and modern computer vision fundamentals, including multi-view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles., • Building real-time and batch ML systems that analyze structured and unstructured signals, • Hands-on experience rapidly prototyping and iterating on ML systems with changing requirements Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of San Francisco is:$218,400—$273,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

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___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. The Content Understanding team builds machine learning models that "read" Pinterest content-images, text, and video-to produce high-quality semantic signals (e.g., embeddings, localization, quality/safety labels). These signals power relevance and retrieval for Homefeed, Search, Related Pins, and Ads, and also support integrity use cases like spam and low-quality detection. We work end-to-end: from data and labeling strategy, to model training and evaluation, to low-latency serving and monitoring at Pinterest scale. The role is ideal for a senior modeler who also enjoys developing, productionizing models and leading technical direction across teams. What you'll do: • Lead modeling strategy for content understanding (vision, NLP, multimodal), including architecture selection, training approach, and evaluation methodology., • Design and ship production models that generate content signals such as embeddings and classifications used across multiple product surfaces., • Own the full ML lifecycle: data/labeling strategy (human labels + weak supervision), training pipelines, offline evaluation, online experimentation, deployment, and monitoring/retraining., • Partner with infra/platform teams to ensure scalable, reliable training/serving (latency, cost, observability, rollout safety)., • Collaborate with signal-consuming teams (ranking, retrieval, integrity, ads) to define signal contracts, adoption patterns, and success metrics., • Provide technical leadership through design reviews, mentoring, and raising the quality bar for modeling and ML engineering practices. What we're looking for: • M.S/ PhD degree in Computer Science, Statistics or related field., • Significant industry experience building software and ML pipelines/systems, including technical leadership (project/tech lead or equivalent)., • Strong proficiency in Python and at least one ML stack such as PyTorch / TensorFlow, plus solid software engineering fundamentals., • Proven experience training and deploying ML models to production, including model versioning, rollouts, monitoring, and retraining strategies., • Deep hands-on experience in content understanding domains, such as:, • computer vision (classification, detection, representation learning),, • NLP (text classification, entity/topic modeling),, • multimodal / embedding models (e.g., transformer-based representations)., • Experience working with large-scale datasets and distributed compute (e.g., Spark-like ecosystems, distributed training, GPU environments)., • Strong applied skills in evaluation and experimentation: defining metrics, offline/online alignment, A/B testing, debugging regressions, and model quality analysis., • Demonstrated ability to influence across teams and drive ambiguous problem areas to measurable outcomes. Relocation Statement: • This position is not eligible for relocation assistance. Visit our___ page to learn more about our working model. In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection., • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. #LI-REMOTE #LI-SM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$189,308—$389,753 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

Emergency Medicine - Pediatric Full Time 87986BR Job Summary Focuses on the organization, management, and archiving of research data for a variety of studies, projects, and initiatives. Supports research programs by ensuring data integrity, accessibility, and compliance with institutional guidelines for secure data handling and storage. Assists with the development and implementation of data management protocols, maintains detailed documentation of data workflows, and collaborates with research team members to ensure proper data organization and version control. Provides support for data queries, tracking, and updates to facilitate efficient project progression and reporting. The Research Assistant is ideally suited for recent university graduates who want to gain research experience and strengthen their preparation for MD or PhD studies after earning a Bachelor's or Master's degree. The anticipated term for this position is one year. The primary focus of this role is supporting multicenter pediatric trauma research by organizing, archiving, and managing large multimodal datasets, as well as contributing to analytical studies related to machine learning, clinical decision rules, and time-to-intervention evaluations. Responsibilities include curating, organizing, and archiving research data across multiple studies; maintaining meticulous version control and data documentation; collaborating closely with research fellows, data scientists, and faculty on dataset development and preparation for analysis; assisting with data exploration, quality control, and troubleshooting; synthesizing literature related to trauma, clinical decision rules, and diagnostic imaging; and preparing research reports, abstracts, and figures for presentations and publications. This role offers the opportunity to develop essential research and data management skills using real-world clinical datasets, with exposure to advanced computational tools and professional development through collaboration with multidisciplinary teams. Candidates with interests in clinical research, pediatric emergency medicine, computer vision, or data science are highly encouraged to apply. The ideal candidate is self-directed, detail-oriented, and an effective communicator in both written and spoken English. Prior research experience is a plus but not required. The final salary and offer components are subject to additional approvals based on UC policy. Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement. Certain terms and conditions of employment for this position, including the rate of pay, benefits, etc., are currently subject to negotiation with the appropriate union. The salary range for this position is $52,800 - $64,500 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: ___ Department Description The Department of Emergency Medicine (DEM) provides emergency medical care to over 177,000 patients annually at the UCSF Medical Center at Parnassus, UCSF Benioff Children's Hospitals at Mission Bay and Oakland and Zuckerberg San Francisco General Hospital and Trauma Center. DEM administrative and research staff support the work of 94 full-time faculty and 50+ part-time attending physicians, a residency program, fellowship programs and over 300 housestaff and students each year. Our vision is to be the leader in compassionate, innovative and equitable emergency care for all people at all times. Required Qualifications • Bachelor's degree in computer science, data science or related area and / or equivalent experience / training., • Basic skills to analyze and research information and learn to synthesize large amounts of data with exquisite attention to detail., • Basic program and project management skills., • Ability to closely monitor computing resource usage and associated costs, ensuring the project stays within budget, and provide regular spending updates., • Ability to meet precise deadlines and be part of a fast-paced problem-solving team that works with minimum supervision and is extremely motivated, • Technical proficiency in standard Microsoft Office Software and ability to learn UCSF computational resources including but not limited to Research Analysis Environment and Scientific Computing Services for secure data hosting and computing services, • High integrity and strong work ethic, • Skills to learn organization-specific and other computer application programs., • Basic communication and interpersonal skills to communicate effectively, both verbally and in writing., • Ability to use discretion and maintain all confidentiality., • Analytical abilities and familiarity with programming tools including: Python (including Pandas, Sci-kit Learn, OpenCV, PyTorch), R, SQL, HTML/CSS, C, STATA, • Coursework in Machine Learning, Algorithms/Advanced Data Structures, Data Science, Probability, Data Graphics and Visualizations, Modern Regression, Technical Writing, High Dimensional Inference The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world's leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells. Pride Values UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence - also known as our PRIDE values. In addition to our PRIDE values, UCSF is committed to equity - both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available at ___ Join us to find a rewarding career contributing to improving healthcare worldwide. Equal Employment Opportunity The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law. Organization Campus Job Code and Payroll Title 007396 PROJECT POLICY ANL 1 Job Category Administrative Support, Research and Scientific Bargaining Unit Research and Public Service Professionals (RP) Employee Class Career Percentage 100% Location San Francisco, CA Campus Benioff Children's Hospital, Mission Bay (SF), Various Work Sites, Zuckerberg San Francisco General (ZSFG) Work Style Fully On-Site Shift Days Shift Length 8 Hours Additional Shift Details Monday - Friday 8:30am -5:00pm with some variable hours

PLEASE NOTE:This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the United States; visa sponsorship is not available for this role. The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you'll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems-while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. • ML Projects: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Help models understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and advising on GPU optimization, scaling, and trade-offs., • HFC Community: Beyond the work, you'll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains., • Contribute to Research Publications: Collaborate with Scale's research team to co-author technical reports and research papers-boosting your academic visibility and professional recognition(e.g., ___, ___, ___)., • Education:PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field., • Professional Background:1-3+ years of experience as a Machine Learning Engineer or Data Scientist., • Skills: Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow).Experience with cloud infrastructure (AWS) and MLOps tools (Docker, Langchain) is a plus., • Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration., • Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research, while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology., • Join a Top-Tier Network: Collaborate with a global network of engineers and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions., • Flexible Schedule: Set your own schedule, with flexible 10-40 hour weeks that fit around your life and other commitments., • Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location., • Apply: We review applications on a rolling basis., • Interview: Candidates will get to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale's LLM post-training platform team builds our internal distributed framework for large language model training. The platform powers MLEs, researchers, data scientists, and operators for fast and automatic training and evaluation of LLMs. It also serves as the underlying training framework for the data quality evaluation pipeline. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely with Scale's ML teams and researchers to build the foundation platform which supports all our ML research and development works. You will be building and optimizing the platform to enable our next generation LLM training, inference and data curation. If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you! • Build, profile and optimize our training and inference framework., • Collaborate with ML and research teams to accelerate their research and development, and enable them to develop the next generation of models and data curation., • Research and integrate state-of-the-art technologies to optimize our ML system., • Passionate about system optimization, • Experience with multi-node LLM training and inference, • Experience with developing large-scale distributed ML systems, • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc., • Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc., • Strong written and verbal communication skills to operate in a cross functional team environment., • Demonstrated expertise in post-training methods and/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000—$315,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

All locations New York, United States; Hartford, United States; San Francisco, United States; Location: Hartford, San Francisco, or New York City Job Description The Insure AI team is part of the New and Green Technologies business unit in Munich Re's Global Specialty Insurance division. You would join an experienced international business unit structuring insurance and reinsurance solutions for risks of AI and Generative AI applications. As a Research Scientist Intern, your focus will be contributing to research on developing statistically robust quantification and assessment methodologies for AI and GenAI models. Please visit our website to find out more about the team: ___. The location of the position is flexible, with options being San Francisco, New York, or Hartford, CT. Your Job * Conduct independent research on statistical and methodological approaches for assessing risks associated with AI and GenAI models. * Drive research projects with creativity and scientific rigor-design experiments, generate hypotheses, and proactively explore new analytical directions. * Develop and test uncertaintyquantification methods, including conformal prediction, calibration techniques, predictive intervals, and other approaches relevant for AI risk assessment. * Support the development of novel frameworks for estimating model risks, detecting performance drift, identifying discrimination and algorithmic harms, and characterizing AI model failure modes. * Contribute to research papers with the team, summarizing key findings and conducting literature reviews for academic publication. * Present research results to both technical and nontechnical stakeholders within Munich Re, as well as at academic conferences. Your Profile * Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, Engineering, or a related quantitative field. * Demonstrated ability to independently drive research projects with creativity, curiosity, and scientific rigor. * Strong foundation in statistical modeling, machine learning theory, and experimental design. * Experience with uncertaintyquantification methods such as conformal prediction, model calibration, or related statistical techniques. * Familiarity with AI/GenAI model evaluation including robustness testing, performancedrift detection, fairness and discrimination assessment, and other risk analysis. * Proficiency in Python and commonly used machine learning frameworks (e.g., PyTorch, TensorFlow, NumPy, Scikitlearn). * Ability to synthesize research findings, conduct literature reviews, and contribute to academicstyle writing. * Strong communication skills, with the ability to present complex ideas clearly to both technical and nontechnical audiences. At The Hartford Steam Boiler, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. The work environment characteristics, and any physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice. The Company is open to considering candidates in numerous locations, including California. The hourly ranged posted below applies to the Company's Hartford, CT location. • The hourly range for this position is $41.00-$49.00., • The hourly estimate displayed represents the typical hourly range of candidates hired. Factors that may be used to determine your actual hourly rate may include your specific skills, how many years of experience you have and comparison to other employees already in this role. Most candidates will start in the bottom half of the range. ___ Save job

Job DescriptionAtomic Machines is ushering in a new era of micromanufacturing with its Matter Compiler™ technology platform. This platform enables new classes of micromachines to be designed and built by providing manufacturing processes and a materials library that are inaccessible to semiconductor manufacturing methods. It unlocks MEMS manufacturing not only for device classes that could never be produced by semiconductor methods, but also for entirely new categories. Furthermore, this digital platform is fully programmable in the way 3D printing is digital—but whereas 3D printing produces parts of a single material using a single process, the Matter Compiler™ technology platform is a multi-process, multi-material system: bits and raw materials go in, and complete, functional micromachines come out. The Atomic Machines team has also created an exciting first device—made possible only through the Matter Compiler™ technology platform—that we will be unveiling to the world soon.Our offices are in Emeryville and Santa Clara, California.About The Role: We are seeking a Computer Vision Engineer to join our AI and ModSim team. An ideal candidate should have experience developing and deploying CV algorithms for automated systems, preferably in the context of manufacturing, robotics systems, or agent perception. In this position, you will be required to have an in-depth understanding of CV tools such as OpenCV and deep-learning CV algorithms, and you should feel comfortable driving automated data collection and processing, including curation and labeling. The tools you develop will be a key component of our manufacturing platform; as such, you will be required to write robust production level software to be embedded in hardware platforms. You will also have to handle both data-heavy and data-scarce training and testing environments. The ideal candidate is excited to use their skills to help create new classes of devices that can be fabricated and manufactured at scale on our robotics manufacturing platform. They thrive in a highly collaborative workplace, actively engage in the development process, and excel at documenting and presenting their work. What You'll Do: • Implement algorithms for automated, task-specific data collection and labeling., • Implement algorithms for object detection, segmentation, deblurring, etc., using OpenCV and/or Deep Learning techniques., • Write robust production code for deploying the above algorithms on hardware platforms., • Test, benchmark, and optimize algorithms to improve their performance, accuracy, and reliabilityWhat You'll Need:, • ~5 years (post Bachelors) of experience in the application of CV/ML, preferably in industrial settings., • Strong programming skills in Python, with a strong understanding of and experience in traditional CV algorithms., • Proficiency in deep learning frameworks (e.g., PyTorch, Tensorflow, JAX)., • Experience with creating and using a data collection, annotation, and labeling pipeline., • Good understanding of the foundations of robotics (affine transformations, hand-eye calibration, etc)., • Strong problem-solving skills, attention to detail, communication, collaboration and presentation skills., • Experience working in cross-functional teams., • Bachelor's degree in Computer Science, Software Engineering, Robotics, Perception, or a related field.Bonus Points For:, • Knowledge of ML-Ops fundamentals (release definitions, staging/test environments, cloud deployments)., • Experience with cloud infrastructures (AWS, Azure, etc.) and communication protocols., • Experience with active learning methods for data collection and/or optimization algorithms for hyperparameter tuning.

Anatomy Full Time 88327BR Job Summary Please note: This position is fully-onsite. Under direct supervision, Bioinformatics Programmer applies machine learning and artificial intelligence (AI) concepts for the analysis of large scale genomics, single cell, and other biological data. Will be responsible for the development and implementation of AI agents and pipelines as innovation tools for biological discovery. Follow standard programming procedures for documentation and data analysis. The final salary and offer components are subject to additional approvals based on UC policy. Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement. The salary range for this position is $34.48 - $74.04 (Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: Department Description The Anatomy Department is a basic science department within the School of Medicine that performs scientific research, training and teaching. The Department includes 15 faculty members with primary full-time appointments, 15 faculty with joint appointments, and about 150 postdoctoral fellows and students engaged in research that covers questions in cell biology, developmental biology and the neurosciences. Faculty have laboratories at both the Parnassus Heights campus, where there is a focus of interest in cancer biology, and at the Mission Bay campus, where many of the neurobiology faculty are located. The administrative office of the Department is located at the Parnassus Heights campus. Anatomy faculty and staff are committed to building a diverse community that is welcoming and supportive, one that will nurture education and research. Required Qualifications • Bachelor's degree in biological sciences, computational biology, bioinformatics, engineering or related area and / or equivalent experience / training, • Basic knowledge in programming languagues like Python and common ML frameworks (PyTorch, TensorFlow, Huggingface etc.)., • Basic knowledge in applying AI/ML approaches to biological data such as sequences, single cell or bulk genomics, multi-omics, spatial and imaging or other biological datasets., • Interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization., • Ability to communicate technical information in a clear and concise manner., • Self motivated, able to learn quickly, meet deadlines and demonstrate problem solving skills., • Basic knowledge of bioinformatics methods for genomic data processing and analysis. The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world's leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells. Pride Values UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence - also known as our PRIDE values. In addition to our PRIDE values, UCSF is committed to equity - both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available at ___ Join us to find a rewarding career contributing to improving healthcare worldwide. Equal Employment Opportunity The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law. Organization Campus Job Code and Payroll Title 005225 BIOINFORMATICS PROGR 1 RP Job Category Project Management, Research and Scientific Bargaining Unit Research and Public Service Professionals (RP) Employee Class Career Percentage 100% Location San Francisco, CA Campus Parnassus Heights (SF) Work Style Fully On-Site Shift Days Shift Length 8 Hours Additional Shift Details M-F 9:00am - 5:00pm

The Company Datawizz helps companies reduce LLM costs by 85% while improving accuracy by over 20% by combining distillation, model routing, and pruning to route requests to smaller, more efficient models. We started in 2025 with the mission of making AI efficient, affordable and more accurate than ever before. Datawizz sits between the application and the LLM, automatically logging requests, evaluating them on different models, and training custom SLMs for repeated tasks. Datawizz then automatically routes every request to the best model - significantly reducing costs and improving accuracy. The Role As Head of Research, you’ll own Datawizz’s research agenda and build an applied research organization focused on making LLMs radically more efficient and accurate. You’ll define the roadmap across model routing, distillation, SLM training, and evaluation; lead hands-on experimentation; and partner closely with engineering to productionize breakthroughs that drive measurable cost and quality wins for customers. You will: Set the research strategy and roadmap for mixture-of-models routing, distillation, SLM training, and evaluation. Build, lead, and mentor a high-caliber applied research team. Design and run rigorous experiments (ablations, offline/online A/Bs), defining clear metrics for cost, accuracy, and latency. Own our evaluation stack: datasets, benchmarks, human-in-the-loop reviews, and reliability/safety assessments. Develop novel methods (e.g., mixture-of-experts/routing, DPO/RLHF, quantization, speculative decoding) and ship reference implementations. Collaborate with engineering to transfer research into production and measure real-world impact. This role is in-office, 5 days/week, based in San Francisco. You might be a great fit if you have experience with: Leading applied ML/NLP research teams and shipping work into production at a startup or high-growth company. LLM internals and training techniques: distillation/LoRA, DPO/RLHF, routing/MoE, prompt/adapter tuning, and SLM design. Building evaluation frameworks (task suites, synthetic data, human eval pipelines) and tying metrics to product outcomes. Large-scale training and inference systems (PyTorch أو JAX; distributed training; inference stacks like vLLM/TensorRT-LLM; quantization/KV-cache optimizations). Strong coding skills in Python and a bias toward hands-on experimentation and rapid iteration. Data curation and labeling workflows, with attention to privacy, safety, and robustness. Communicating research clearly and partnering cross-functionally with engineering and product. (Nice to have) Publications or notable open-source contributions; patents; early-stage 0→1 experience. Benefits Competitive salary, based on experience level (Annual compensation range: $50,000-$500,000) Meaningful equity Opportunity to be a founding member of a growing company #J-18808-Ljbffr

About Stack AI Vision : Democratize access to Large Language Models, so that anyone can build AI-powered applications that generate positive impact to the world. Product : A user-friendly and intuitive No-Code platform integrating best AI models (OpenAI, Anthropic, Google, open source), most common data sources (OneDrive, Google Drive, Airtable, Notion) and SaaS (Zapier, HubSpot, etc.). We do the heavy-lifting for you, so you can focus on the product and business. Traction : over 100,000 users and 300+ paying customers (including public companies and unicorns!). Team : Founded by 2 MIT PhDs, backed by major investors such as Y Combinator and Google, we are now a 6-engineer team. Values : Default to action, radical transparency, boldness, and strong opinions loosely-held. Responsibilities: We need 10X engineers to make this happen! True wizards that can deliver on a daily basis in the high-paced environment. In this role, you will... Enhance our retrieval-augmented generation (RAG) capabilities, ensuring our models effectively integrate and utilize diverse data sources. Work on embedding generation techniques, optimizing them for accuracy and efficiency. Keep abreast of the latest developments in AI models, their evolving capabilities, and the complexities of integration. Position yourself as the go-to expert within the team, guiding our end users in crafting their use cases with the most suitable models. Collaborate with backend and frontend teams to integrate AI models into products and services. We're all about our users - listen to their needs, help them, build strong relationships! Expect to dive into customer support now and then as everyone else in the team. Required Skills and Qualifications: You will be a great fit if you have... Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or related fields. Proven experience in machine learning and AI, with a focus on generative models. Knowledge of retrieval-augmented generation pipelines and their implementation. Strong proficiency in Python and popular machine learning frameworks like TensorFlow or PyTorch. Experience with embedding techniques and understanding of their applications in AI models. Excellent problem-solving skills and the ability to work in fast-paced environments. Strong communication and collaboration skills. Preferred Qualifications: You will be an exceptional fit if you also have... PhD in a relevant field. Published research or projects in the field of generative AI, embeddings, or retrieval-augmented generation. Experience with large-scale ML deployments in a production environment. Contribution to open-source AI/ML projects. In-depth knowledge of generative AI hardware, including an understanding of GPU architectures, requirements, and optimization techniques for AI model deployment. Beyond these skills, what we value the most is your ability to remain curious and open to learning new skills. As a early-stage startup joiner, you may need to wear many hats. #J-18808-Ljbffr

We are seeking a highly skilled and visionary Principal Architect – Navigation (AI/ML) for a robotics unicorn based in San Francisco, CA. Backed by over $500 million in funding from top-tier investors, our client is at the forefront of developing cutting-edge machine learning technology. They are building pioneering intelligent automation systems that power some of the world’s largest warehouses and retail operations. This role needs design and development of cutting-edge navigation systems powered by machine learning and deep learning. This role is critical to driving innovation in intelligent path planning and autonomous decision-making, with real-world applications in robotics, logistics, warehouse automation, and beyond. You will play a key leadership role in shaping our ML-driven navigation stack—from research and prototyping to production deployment in high-scale environments. Key Responsibilities Architect and build robust ML and deep learning models for navigation and control systems. Design and implement reinforcement learning agents within simulation environments. Drive end-to-end development and deployment of production-grade ML models. Collaborate closely with cross-functional teams across robotics, perception, and infrastructure. Evaluate and integrate classical and modern path planning algorithms (e.g., A*, RRT, etc.) Leverage simulation tools to test and validate navigation models in virtual environments. Guide the implementation of MLOps best practices, including data pipelines, training, deployment, and monitoring. Stay ahead of emerging trends in AI, reinforcement learning, and robotics. Must-Have Technical Expertise Strong expertise in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch). Hands-on experience in building and deploying production-grade ML models. Demonstrated experience with simulation environments (e.g., Gazebo, CARLA, Unity). Deep understanding and practical application of reinforcement learning algorithms. Proficiency in classical and modern path planning algorithms (A*, RRT, D* Lite, etc.). Solid understanding of robotics fundamentals, such as kinematics and motion control. Experience working in physical domains like warehouse automation, autonomous vehicles, or logistics. Familiarity with cloud-based ML services (e.g., Google Vertex AI, AWS Sagemaker, Azure ML). Knowledge of the full ML lifecycle, including data collection, training, MLOps, and CI/CD deployment pipelines. Nice-to-Have Qualifications Published research in AI, Robotics, or Navigation in reputed journals or conferences. Expertise in multi-robot path planning algorithms and coordination strategies #J-18808-Ljbffr

Lead, mentor, and manage a team of engineers focused on developing and optimizing ML model inference and performance. Dive into the codebase of frameworks like TensorRT, PyTorch, CUDA, and others to identify and solve complex performance bottlenecks. In-depth understanding of ML model performance op

PhD or MS in Computer Science, Machine Learning, or related technical field. Strong expertise in PyTorch for deep learning research and development. Familiarity with reinforcement learning and optimization techniques.

Experience as a software engineer Experience building and serving machine learning models Familiarity with Python and related ML frameworks such as PyTorch, Tensorflow, Jax, and other open-source stacks such as HuggingFace Ability to reason through machine learning system tradeoffs A high level of e

We are looking for a Founding Machine Learning Engineer to lead the development of scalable ML systems for RNA biology at EPM Scientific. Strong programming skills in Python and deep learning frameworks (PyTorch, JAX, or TensorFlow).

An innovative firm is seeking a Machine Learning Research Scientist/Engineer to join their dynamic team.You will leverage your expertise in large language models and frameworks like PyTorch and TensorFlow to tackle complex machine learning challenges.This role offers the opportunity to contribute to

The role requires a strong background in PyTorch and a passion for pushing performance limits.

OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch.

OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch.

A leading AI research company in San Francisco is hiring for a position on their Audio team. The role involves developing and training advanced audio models, optimizing performance, and working collaboratively across teams. Ideal candidates will have strong expertise in JAX or PyTorch, a background

Job Description About The Role: As an AI Robotics CV Engineer, you are building a robot that must understand the 3D world around it with the same fluency a human does; from precise object localization to spatial reasoning across dynamic environments. This role focuses on the geometric and structural vision systems that underpin everything the robot perceives and acts on. What You'll Do • Design and train deep learning models for 3D scene understanding, geometric reasoning, and spatial reconstruction, • Develop vision pipelines for object detection, pose estimation, depth perception, and scene segmentation on-robot, • Build and iterate on occupancy and world-representation networks that operate in real-time on edge hardware, • Create automated data generation pipelines to produce high-quality training data at scale from fleet/robot deployments, • Research and implement state-of-the-art techniques from 3D vision, NeRF, Gaussian splatting, and related fields, • MS/PhD or equivalent experience in Computer Vision, Robotics, or Machine Learning, • Strong background in 3D computer vision — stereo, depth estimation, point clouds, SLAM, or structure-from-motion, • Proficiency in PyTorch or JAX; experience training large-scale models end-to-end, • Demonstrated ability to take models from research to production deployment, • Experience with camera calibration, multi-camera systems, and sensor fusion, • Publications or shipped products in geometric vision, embodied AI, or autonomous systems preferred

Job DescriptionAbout LUUM LUUM is revolutionizing beauty through the power of robotics, artificial intelligence, and skilled artistry. We've developed a first-of-its-kind robotic system for applying eyelash extensions—bringing advanced technology to an industry where precision, artistry, and personalization are key. Our team brings together experienced engineers, skilled lash artists, and serial entrepreneurs, all united by a shared mission: to combine innovative technology with beauty expertise to deliver an exceptional experience for every client. About the Role: We are seeking a senior perception (computer vision & machine learning) engineer with experience in robotics to develop vision algorithms for our beauty experience automation. This role is critical to enabling fast and accurate detection, tracking, and classification in a novel consumer service environment. This is a hands-on role: you will select and adapt state-of-the-art methods and apply them to our custom built, high speed four manipulator robotic system. The LUUM Robots feature an array of highly customized actuation and machine vision – both classical and neural network based – to precisely manipulate and attach the tiny extension fibers onto natural eyelashes. In more than eight years of development, we’ve assembled many of the pieces of this difficult puzzle – enough to provide real services to thousands of paying repeat customers – and now we’re looking to expand our team to advance the technology even further. Our newly deployed fourth generation system includes more actuated degrees of freedom and far more autonomy than leading surgical robots, producing an array of engineering challenges unique in the field. Key Responsibilites • Develop computer vision and perception software in support of our robotic eyelash extension system., • Design algorithms for detection, tracking, pose estimation, 3D reconstruction, and world modeling in space-relevant conditions., • Maintain the software stack for robustness, scalability, and iteration speed; define coding standards and best practices., • Work hands-on in C++ and Python to prototype, implement, and optimize perception algorithms, specifically image processing., • Perform software-in-the-loop (SIL) and hardware-in-the-loop (HIL) testing to validate performance and robustness., • 5 years work experience and Master’s degree or higher in Computer Science, Mechanical Engineering, Electrical Engineering, or a related field, with a specialization in Machine Learning or computer vision related to perception in robotic systems., • Strong programming fundamentals in Python and C++ with proficiency in ML frameworks like TensorFlow, PyTorch, or similar., • Comfortable working in larger, evolving codebases with version control (Git), testing, and CI/CD., • 5 years experience in shipping significant CV/ML systems in production hardware (i.e., robotics or similar complex systems such as autonomous vehicles)., • Experience working in Linux environments and with modern development workflows., • Passionate about machine learning, computer vision for robotic systems., • Ability and willingness to work on-site in Oakland, CA.Preferred Qualifications, • Experience in stereoscopic vision., • Demonstrated experience taking projects from concept through implementation, testing, and deployment., • Able to explain the hardest problems you solved, how you evaluated success, and how you handled the gap between theory and implementation., • Open-minded, collaborative, and a cross-functional team player., • Energized by new ideas and able to iterate on them constructively., • Experience with CUDA., • Eager to stay abreast of research and technology in computer vision and ML.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: As a Senior/Staff Software Engineer embedded within our Autonomy & Algorithms team, you will build the scalable ML data pipelines necessary to train and evaluate Waabi’s autonomous driving platform. Working closely with world-renowned scientists and engineers, you will solve complex data challenges to accelerate our launch of fully driverless vehicles. You Will.. • Design and implement data pipelines using real-world driving data and Waabi World (our high-fidelity simulator) to train and evaluate deep learning models., • Optimize data formats, caching, and dataloading to drive highly efficient ML training and evaluation at scale., • Improve data sampling and composition for deep data introspection to track model performance and uncover critical edge-case scenarios., • Champion engineering excellence by writing high-quality, well-structured, and rigorously tested code., • Help drive project roadmap planning, prioritization, and delivery. Qualifications: • BS or MS in Computer Science, Machine Learning, or a related technical field, with 4+ years of industry experience., • Proficiency in Python and strong software engineering fundamentals, including experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX., • Hands-on experience building distributed ETL and data processing pipelines., • Direct experience managing ML pipelines, including dataset management, dataloading, and optimization., • Strong understanding of cloud job orchestration, monitoring, and instrumentation best practices., • A collaborative, open-minded approach with a passion for tackling hard problems in autonomous technology and a strong willingness to mentor others. Bonus Points: • Experience with optimizing large scale distributed training pipelines and/or highly optimized ML inference pipelines., • Experience with MapReduce (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow, Apache Beam, Google Cloud Dataflow, AWS Step Functions)., • Experience solving data challenges specific to autonomous driving., • Familiarity with linear algebra (projections, transforms) and 3D geometry., • Experience working with multimodal sensor data (e.g., LiDAR, RADAR, camera). The US yearly salary range for this role is: $148,000 - $260,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Encord At Encord, we're building the AI infrastructure of the future. One of the biggest challenges AI companies face today is data quality. The success of any AI application relies heavily on the quality of its training data, yet for most teams, this crucial step is both the most costly and time-consuming. We’re here to change that.As former computer scientists, physicists, and quants, we’ve experienced firsthand how a lack of tools to prepare quality training data impedes progress in building AI. We believe AI is at a stage similar to the early days of computing or the internet—where the potential is clear, but the surrounding tools and processes are still catching up. That's why we started Encord. We are a talented and ambitious team of 100+, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, we’re one of the fastest-growing companies in our space. We have big plans ahead and are looking to expand our Engineering team to help us in building a better product for our customers. What you’ll work on / the team you’ll join We’re building tools for the full Physical AI data stack - from data acquisition, through ingestion and curation at scale to 3D rendering, annotation and verification. You’ll solve problems of large scale efficient data transfer and storage, complex domain modelling, applying the latest machine learning models and squeezing performance out of web browsers. Who we are looking for You feel at home with challenging front-end work, such as rendering complex 3D scenes with thousands of objects while maintaining smooth frame rates. You’ll work with the biggest names in robotics and autonomous vehicles. You’ll understand the details of with visual, spatial and sensor data, making sense of reality.You will operate with high degrees of autonomy and be expected to craft at speed. We need performant, reliable and maintainable solutions to challenging problems - both technical and product. You'll join us at a crucial stage of accelerated development for the company, product and team. As part of a small, highly collaborative group, you'll be a key driver of progress on a core part of our product. What to expect • High performing team: You'll join the small team that has built a product that our customers love. Members of the team are veterans of both established companies and successful startups. While the team is more than a sum of its parts, every member is impressive in their own right- Impact: Your work will have direct and tangible impact for customers and in turn noticeably affect the trajectory of the company.- End-to-end ownership: You will be entrusted with end-to-end ownership of your projects. From product, design and architectural decisions, all the way to deployment, monitoring and measuring impact on users. You will work across the stack, covering everything from deployment to styling. We expect each other to take initiative, be proactive in problem-solving, and continuously seek improvements.- Autonomy and collaboration: You will often work autonomously to take charge of your projects, make decisions, and drive your work forward. But as a lean and high trust team, we remain quick to collaborate and support each other with challenging problems together.- Scale and simplicity: You will tackle complex domains and immense scale with simple solutions. You'll leverage your expertise to solve challenging problems in simple ways. About You • Are experienced: You have seen a lot and built a lot. You have personally developed and maintained multiple systems from scratch and you know what trade offs are involved in building reliable, performant software at speed.- Seek high impact: You want your work to have a tangible outcome for people. You're not satisfied when building products that do not see the light of day or move a number by a tenth of a percent.- Are a builder: You enjoy all aspects of building not only software but a complete product and are comfortable moving across the stack when necessary. You enjoy problem solving and thinking from first principles. You’re ready to pick up new skills and build quickly.- Are comfortable with uncertainty: You're happy to tackle problems without a predefined clear definition or obvious solution, and are excited to have autonomy to make decisions as you go.- Are a team player: You understand that being a member of a high-performing team requires two things. You contribute your best work. You also help others contribute their best. You enjoy lending a helping hand when needed and levelling up those around you. Tech stack We are technology agnostic at Encord. We are not looking for you to have experience in all these technologies. As long as you're open to learning, please apply. We currently use Python and Typescript across our codebase. Prior experience is appreciated but not required. Below is a detailed breakdown of all the technologies we use.- Backend: Python- Frontend: Typescript and React- Kubernetes for deployment- GCP for underlying infrastructure- Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate, eager to learn. What We Offer

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. You will...- Design and execute on a research agenda for deep-learning based motion planning for self-driving.- Leverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation, foundation models and more.- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.- Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog. Qualifications:- MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered.- Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making).- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.- Proficient in reading and coding in Python.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have:- Previous experience in self-driving technology. - Experience deploying ML/DL models to a production motion planning or related robotics stack.- Proficiency in Pytorch, Rust, C++ and/or CUDA.The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWaabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: You will...- Collaborate with cross functional teams - including Maps, Data, and Simulation - to curate and generate high-quality datasets essential for training and evaluating our online mapping system. - Work closely with the Perception and Motion Forecasting teams to design, evaluate, and iterate on robust online mapping algorithms that dynamically adapt to real-world changes—such as road closures, construction, or shifting traffic patterns—ensuring accurate and safe navigation for our autonomous vehicles.- Partner with platform teams to ensure seamless integration, deployment and continuous operation of the online mapping system within our self-driving vehicles. - Champion engineering excellence, ensuring high-quality, well structured and tested code.- Contribute to the broader research community by publishing findings at top conferences and sharing insights on Waabi’s blog, helping establish Waabi as a leader in online mapping research. Qualifications:- MS/PhD or Bachelors degree with a minimum of 2 years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study.- Experience working on applied research projects in ML/Autonomous driving. - Passion for taking research ideas and turning them into practical solutions for real-world applications.- Solid understanding of computing fundamentals, including code efficiency.- Strong grasp of machine learning and computer vision literature, including current trends and state-of-the-art techniques.- Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code.- Comfortable working with large datasets for machine learning applications.- Open-minded and collaborative team player with the willingness to help others.- Experience and excitement in supporting a fast-paced high-growth environment.- Passionate about being part of an organization solving self-driving technologies. Bonus/nice to have:- Experience in shipping machine learning features/models into production.- Previous experience in perception and/or online mapping systems. - Previous experience in self-driving technology or related fields.- Publications in top-tier conferences or journals related to computer vision, machine learning, or robotics.- Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.- Proficiency in Pytorch, Rust, C++ and/or CUDA. The US yearly salary range for this role is: $155,000 - $213,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWaabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: The Behaviors team at Waabi develops cutting-edge simulation agents and scenario generation algorithms for Waabi World, our simulation platform. As a Senior/Staff Research Engineer on our Behaviors team, you will create the next generation of simulation software for autonomous driving. You will work closely with our multidisciplinary team of research scientists and software engineers to build innovative, practical, and scalable solutions to challenging problems as part of our next-generation self-driving solution. You will...- Architect robust and scalable training and evaluation frameworks for IL/RL-based traffic agents.- Design and implement scalable data pipelines for generating large-scale training datasets.- Productionize cutting-edge research into robust, scalable systems in Waabi World, our simulation platform.- Contribute to technical direction and strategy for realistic traffic agents and scenario generation. Qualifications:- Experience with imitation learning, reinforcement learning, planning, and/or robotics.- Expertise with ML frameworks such as PyTorch, TensorFlow, or Jax.- Proven ability to take research from prototype to production systems.- Excellent software engineering skills with experience building scalable ML systems.- Open-minded and collaborative team player with willingness to help others. Bonus/nice to have:- Masters/PhD in machine learning, computer science, engineering, or a related field.- Publications in top-tier conferences or journals related to machine learning or robotics.- Experience in self-driving, traffic simulation, or a related field.- Expertise coding in Rust/C++. The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionRETHINK MANUFACTURING The only way to ignite change is to build the best team. At Bright Machines®, we’re innovators and experts in our craft who have joined together to create a new category of manufacturing that will help transform the industry. We believe software and data are the answer, thoughtfully applied to solve our customers’ unique challenges. Through intelligent automation, we give factories newfound flexibility, scalability, and resilience. We deliver products to meet the demands of today while building a platform to take advantage of what comes next. Working with us means you’ll have the opportunity to make lasting, impactful changes for our company and our customers. If you’re ready to apply your exceptional skills to create the factory of the future, we’d love to speak with you. ABOUT THE ROLE As a senior Robot Perception Engineer on the Smart Robotics team at Bright Machines, you will be a hands-on senior contributor responsible for productizing visual inspection solutions for our automation platform. You will own the full pipeline—from algorithm development to production deployment—turning prototype inspection capabilities into reliable, high-throughput features that operate at scale across our automation lines. In this role, you will develop and optimize computer vision and deep learning models for defect detection, classification, and visual validation. You will collaborate closely with cross-functional teams, including Mechanical Engineering and Manufacturing Operations, to design end-to-end inspection solutions that deliver consistent, accurate results under real-world factory conditions. Additionally, you will have the opportunity to shape the inspection product roadmap and drive the adoption of cutting-edge machine learning techniques in an industrial setting. WHAT YOU WILL BE DOING * Develop and optimize visual inspection algorithms for defect detection, anomaly detection, classification, and quality validation using deep learning * Optimize model inference for GPU deployment, leveraging CUDA, TensorRT, and related acceleration frameworks * Collaborate with Mechanical engineers to design illumination setups that maximize inspection accuracy and robustness * Build and maintain data pipelines for model training, evaluation, and continuous improvement * Partner with platform team to establish MLOps practices for model versioning, experiment tracking, automated retraining, and production model monitoring * Harden inspection solutions for production reliability, including monitoring, alerting, and graceful degradation * Work with service engineering and field teams to deploy inspection solutions and support customer rollouts * Define metrics and benchmarks to measure inspection accuracy, throughput, and reliability WHAT YOU WILL BRING * MS or PhD in Computer Science, Electrical Engineering, or a related field, or the equivalent in experience with evidence of exceptional ability. * 5+ years of relevant experience in computer vision and/or machine learning * Strong programming skills in Python * Deep experience with PyTorch for model development and training * Experience optimizing ML models for GPU inference in production environments * Track record of shipping ML/CV models from prototype to production * Experience with image acquisition, camera systems, and sensor integration IT WOULD BE GREAT IF YOU HAD • Knowledge of lighting and optics for machine vision (diffuse/directional illumination, lens and filters) Experience with industrial camera systems and standards (GigE Vision, GenICam, CoaXPress) * C/C++ experience for performance-critical components * Experience with MLOps tooling (MLflow, Weights & Biases, Kubeflow, or similar) * Experience with data annotation, labeling workflows, and active learning strategies * Experience with ROS2 * Understanding of manufacturing processes and quality control methodologies * Publications or patents in computer vision, deep learning, or related fields BE EMPOWERED TO CHANGE AN INDUSTRY Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure assembly operations. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers and leading Original Equipment Manufacturers (OEMs). With its new AI factory, Bright Machines addresses increasing market demands for computing power due to the surge of AI and the U.S. national mandate to reshore manufacturing by building data center infrastructure at scale with higher quality and shorter time-to-market. Bright Machines is headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico. The company has been recognized as one of Forbes’ AI 50, awarded “Best AI-based Solution for Manufacturing” by AI Breakthrough, named a “Technology Pioneer” by the World Economic Forum, and highlighted by several other leading technology and innovation organizations. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Encord At Encord, we're building the AI infrastructure of the future. One of the biggest challenges AI companies face today is data quality. The success of any AI application relies heavily on the quality of its training data, yet for most teams, this crucial step is both the most costly and time-consuming. We’re here to change that.As former computer scientists, physicists, and quants, we’ve experienced firsthand how a lack of tools to prepare quality training data impedes progress in building AI. We believe AI is at a stage similar to the early days of computing or the internet—where the potential is clear, but the surrounding tools and processes are still catching up. That's why we started Encord. We are a talented and ambitious team of 100+, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, we’re one of the fastest-growing companies in our space. We have big plans ahead and are looking to expand our Engineering team to help us in building a better product for our customers. Who we are looking for We're looking for an outstanding engineer to push our platform to the next level. You'll join us at a crucial stage of accelerated development for the company, product and team. As part of a small, highly collaborative group, you'll drive our product and team to new heights. Encord is growing rapidly, with our product as the key driver of that growth. A year ago, we were a team of 25; now, we’re 60 and continuing to accelerate. What to expect • High performing team: You'll join the small team that has built a product that our customers love and consistently rate as the best in the market. Members of the team are veterans of both Big Tech and successful startups. While the team is more than a sum of its parts, every member on the team is impressive on their own.- Impact: Your work will have direct and tangible impact for customers and in turn noticeably affect the trajectory of the company.- End-to-end ownership: You will be entrusted with end-to-end ownership of your projects. From product, design and architectural decisions, all the way to deployment, monitoring and measuring impact on users. You will work across the stack, covering everything from deployment to styling. We expect each other to take initiative, be proactive in problem-solving, and continuously seek improvements.- Autonomy and collaboration: You will often work autonomously to take charge of your projects, make decisions, and drive your work forward. But as a lean and high trust team, we remain quick to collaborate and support each other with challenging problems together.- Scale and simplicity: You will tackle complex domains and immense scale with simple solutions. You'll leverage your expertise to solve challenging problems in simple ways. About You • Are experienced: You have seen a lot and built a lot compared to your peers. You have personally developed and maintained multiple systems from scratch and you know what trade offs are involved in building reliable, performant software at speed. - Seek high impact: You want your work to have a tangible outcome for people. You're not satisfied when building products that do not see the light of day or move a number by a tenth of a percent.- Are a builder: You enjoy all aspects of building not only software but a complete product and are comfortable moving across the stack when necessary. You enjoy problem solving and thinking from first principles. You’re ready to pick up new skills and build quickly.- Are comfortable with uncertainty: You're happy to tackle problems without a predefined clear definition or obvious solution, and are excited to have autonomy to make decisions as you go.- Are a team player: You understand that being a member of a high-performing team requires two things. You contribute your best work. You also help others contribute their best. You enjoy lending a helping hand when needed and levelling up those around you. Tech stack We are technology agnostic at Encord. We are not looking for you to have experience in all these technologies. As long as you're open to learning, please apply. We currently use Python and Typescript across our codebase. Prior experience is appreciated but not required. Below is a detailed breakdown of all the technologies we use.- Backend: Python- Frontend: Typescript and React- Kubernetes for deployment- GCP for underlying infrastructure- Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate, eager to learn. What We Offer

Job DescriptionAbout the Company: Octave is a modern behavioral health practice creating a new standard for care delivery that's both high-quality and accessible. With in-person and virtual clinics in multiple states, the company offers evidence-based individual, couples, and family therapy, while pioneering relationships with payers to make care more affordable through insurance. By raising the bar on how care is delivered and how providers are supported, we are building a sustainable system that values equity, affordability, and effectiveness. About the Role: We're looking for a Sr. Data Engineer with strong data platform experience to help evolve our modern data stack and contribute to the foundation of our emerging AI and ML platform. This role sits at the intersection of data engineering, platform architecture and machine learning enablement and will bring high-quality, scalable, and ethical AI into real-world use. You will partner closely with data scientists, analysts, and product managers to ensure our platform supports reliable data pipelines, scalable analytics, and production ready machine learning systems in addition to defining new architecture, best practices, and patterns for fellow engineers to inherit. The ideal candidate is both a systems thinker and a hands-on builder who thrives in evolving environments and is passionate about creating reliable data infrastructure that enables peers and partner teams to move faster with data. Responsibilities Include: • Design, build, and maintain scalable systems for ingestion, transformation, and storage of data, with a focus on testing and observability., • Implement frameworks, tooling, and automation to safely increase development velocity., • Develop foundational end-to-end AI/ML workflows from (1) source ingestion and preparation, (2) training and tuning, (3) experimentation and productionization, and (4) downstream systems integration (EHR modules, micro-services, dashboards)., • Support iterative model development and production operations and observability (accuracy, drift, bias, fairness, reproducibility)., • Contribute to a culture of continuous improvement, knowledge-sharing and mentoring of peer engineers.Preferred Qualifications:, • Bachelor's degree (or equivalent) in Computer Science, Data Science, Statistics, Engineering or a related field., • 5+ years of experience in data engineering, platform engineering, or ML engineering., • Experience working with major cloud data platforms and tools:, • Preferred experience:, • Healthcare, behavioral health, EHR systems, and/or regulated industries., • Specific expertise with: AWS/GCP, dbt, AirflowAirbyte, Redshift/BigQuery., • Proficiency in SQL and Python with strong familiarity towards modern data engineering frameworks, infrastructure, and tooling., • Proficiency with data ops best practices, monitoring, pipeline automation, and CI/CD., • Knowledge of modern compute and ML frameworks/libraries (i.e., Spark, TensorFlow, PyTorch, scikit-learn)., • Ability to build production APIs and services, inclusive of MCP servers that expose internal data/services to LLMs., • We're human beings first. We operate with empathy and kindness – with our clients, with our collaborators, and with ourselves., • People deserve better than status quo. We're willing to tackle the intractable problems, no matter how big, because someone should. We ask big questions, we craft big solutions, and we challenge ourselves and others to make it happen., • No bystanders. No stars. No tourists. Each person has been selected to be here, and with that comes a responsibility to bring your expertise, share your ideas, and help make this company better., • Partnership paves the path ahead. We don't operate in a silo, internally or externally. To transform the system, we believe in working with others to create something bigger, better, and stronger., • Quality is crucial at scale. Quality is core to our business, and we refuse to sacrifice it as we grow., • Progress is a process. In the pursuit of progress, we iterate, reflect, learn, adjust – and always leave things better than we found them., • There are people behind every data point. We recognize that numbers tell only one part of the story, and we also do the work to understand impacts at the individual level.Physical Requirements:, • Prolonged periods sitting at a desk and working on a computer., • Must be able to frequently communicate with others through virtual meeting applications such as Zoom and Google Meet., • Must be able to observe and communicate information on company provided laptop., • Move up to 10 pounds on occasion. Octave will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Octave's legal duty to furnish information. Starting pay for qualified applicants will depend on a combination of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is set forth below and this range may be modified in the future. The salary range for Geo 1 (all states, excluding those in Geo 2 or Geo 3, and D.C.) is $142,600 - $153,100. The salary range for Geo 2 (CO, HI, MD, RI) is $156,900 - $168,400. The salary range for Geo 3 (AK, CA, CT, MA, NJ, NY, WA) is $164,000 - $176,000. All Geos are eligible for equity in the form of stock options. Additionally, this position is eligible for the following benefits: company sponsored life insurance, disability and AD&D plans. Voluntary benefits such as 401k retirement, medical, dental, vision, FSA, HSA, dependent care and commuter/parking options are also available. Octave offers generous Paid Time Off as well as paid parental leave benefits. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. How We Use Technology in Hiring: As part of our hiring process, we may use technology tools, including AI-supported systems, to assist with reviewing applications or documenting interviews. These tools are designed to support our team, not replace human judgment, and final hiring decisions are always made by our team. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Application Instructions: Please complete the following application. Please note that the U.S. Equal Opportunity Employment Information questions below are used for the purposes of EEOC reporting and are optional to complete. Octave is unable to change these questions and we acknowledge that many of the U.S. Equal Opportunity Employment Information questions are not inclusive or affirming of all aspects of cultural identity. Octave is committed to an inclusive workplace environment, and this information will not inform how we approach hiring or employment.

Job Description Senior AI Full Stack Engineer ROCGJP00039895 • Hourly pay: $75-$85/hr, • Worksite: Leading biotechnology company (South San Francisco, CA 94080 - Onsite), • W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL Senior AI Full Stack Engineer Responsibilities: • Innovate and develop software applications to support clinical development, • Identify and integrate AI/LLM capabilities to enhance data processing and natural workflows., • Design intuitive, user-centric interfaces., • Code Quality and Documentation: Write clean, maintainable, and well-documented code. Participate in code reviews and contribute to best practices in software development., • Research and Innovation: Stay up-to-date with the latest advancements in generative AI and machine learning. Evaluate new technologies and methodologies to continuously improve our solutions., • Collaborate with Cross-Functional Teams: Work closely with data scientists, engineers, and product managers to integrate generative AI capabilities into our products and services., • 5+ years of full stack development experience., • 4+ years experience with front-end frameworks (preferably Vue.js)., • 2+ years of developing and deploying AI/ML solutions or applications., • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field., • Clear understanding of the current landscape of AI & AI-based applications, including potential benefits, limitations, and standard of practice., • Capable of bringing your expertise to our existing and upcoming AI applications/projects as both a leader and individual contributor., • Strong proficiency in either a front-end framework (Vue.js, React, or similar) and a backend web frameworks in Python and/or JavaScript (Django, FastAPI, Flask, Next.js, or similar) ., • Experience designing and developing RESTful APIs (with e.g. Python FastAPI)., • Familiarity with prompt engineering., • Proficiency with containerized workflows and architectures (Podman, Docker, Kubernetes)., • Strong automated software testing skills (Python unittest, jest, Playwright)., • Familiar with Agile methodologies., • Excellent analytical and problem-solving skills with a track record of tackling complex technical challenges., • Leading system design and implementing scalable, fault-tolerant solutions for complex, distributed computing challenges., • Strong interpersonal and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders., • Experience with cloud platforms (e.g. AWS) and modern data platforms (e.g., Snowflake)., • Experience implementing chatbots, retrieval-augmented generation (RAG) systems, and integrating LLMs into applications (AI-assisted automation), • Preferred Qualifications:, • Experience building AI agents, fine-tuning LLM models, and evaluating bias and fairness with LLM systems., • Experience in developing Microsoft Word add-ins using Office.js., • Experience with web technologies like JWT, WebSockets, etc., • Experience with Huggingface, Langchain, TensorFlow, PyTorch, or similar., • Familiarity with DevOps, infrastructure, and continuous integration concepts., • Familiarity with CRDT technologies like Yjs., • Experience with using NLP/LLMs on clinical text., • Basic knowledge of clinical drug development.

Job Description Position Title: Senior Machine Engineer / Lead Location: San Francisco, CA Time Type: Full Time The Opportunity Ohalo is looking for a hands-on Senior Machine Learning Engineer / Lead to convert cutting-edge quantitative-genetics and computer vision research into production systems that accelerate crop improvement. You will steer a squad of ML/Data/Software Engineers, partnering with quantitative geneticists and statisticians to deliver Bayesian genomic-prediction pipelines, breeding-system simulations, and AI-powered hybrid-optimization services. Your work will directly shape how breeders make thousands of crossing decisions and drive the next leap in agricultural productivity. Responsibilities • Design, build, and maintain scalable ML pipelines on GCP (or the best-fit cloud) using Python, BigQuery/Spark, Kubernetes, and CI/CD best practices., • Mentor & grow a small team—provide technical guidance, establish code-review norms, and cultivate a culture of rapid, well-engineered experimentation., • Own model-ops lifecycle: automated testing, containerized deployment, continuous monitoring, and A/B evaluation against breeding KPIs., • Collaborate cross-functionally with plant scientists, data engineers, and the automation group to ingest high-throughput phenotyping data and close feedback loops., • Establish MLOps Excellence: Build robust infrastructure for model versioning, data lineage, and automated retraining; implement "champion-challenger" deployment patterns to safely promote research models to production while ensuring full auditability of breeding decisions.Required Qualifications:, • Education – M.S. in Computer Science or related field (or equivalent industry record)., • Experience – 5+ years building production ML/AI systems, technical lead experience preferred, • Engineering excellence – Expert Python plus one ML framework (JAX/NumPyro, TensorFlow, or PyTorch); strong grasp of microservices, Docker/Kubernetes, and cloud data platforms (BigQuery, Vertex AI, etc.)., • Data-engineering acumen – Comfortable designing batch, streaming, and event-driven pipelines; Pub/Sub, Kafka, or equivalent., • Leadership & communication – Able to set direction, give candid feedback, and bridge domain-scientist ↔ engineer conversations with clarity. Nice to have: • Advanced Image Techniques – Proficiency in leveraging Foundation Models (e.g., SAM, CLIP) and Self-Supervised Learning to automate high-throughput feature extraction, converting unstructured imagery into high-dimensional embeddings for advanced statistical analysis. About Ohalo: Ohalo™ aims to accelerate evolution to unlock nature's potential. Founded in 2019, Ohalo develops novel breeding systems and improved plant varieties that help farmers grow more food with fewer natural resources, increasing the yield, resiliency, and genetic diversity of crops to sustainably feed our population. Ohalo's breakthrough technology, Boosted Breeding™, will usher in a new era of improved productivity to radically transform global agriculture. For more information, visit . The anticipated pay range for this role is $170,000 - $220,000 per year for our San Francisco, CA location, though salary will be based on a variety of factors including, but not limited to, experience, skills, education, and location. Notes: If you previously applied for a job at Ohalo Genetics, we encourage you to restate your interest in the position by submitting your application. No visa sponsorship is available for this position at this time. No recruiters, please.