June 26, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.
Must have at least 5 years of solid hands on knowledge of Oracle Fusion Cloud HCM tools (HDL, HCM Extracts, BIP Reports, OTBI Reports, Fast Formulas, HCM REST APIs, Workflows, Page & Application Composers & Visual Builder Studio). The role involves hands on development in Oracle Fusion Cloud HCM and needs solid experience with HCM Extracts, HCM BI Publisher Reports, HCM HDL, Fast Formulas, HCM OTBI reports, HCM Workflows & ESS and other HCM tools.
Murray Hill, NJ30+ days ago
Lead development of customer and project specific documentation for the project; installation drawings, risk assessment/HAZOPs, Pre-Startup Safety Reviews (PSSR), commissioning procedures, customer presentations/progress reports, customer turnover manual, Lessons Learned/project close-out reports, etc. Messer is the world's largest privately held industrial gases company and what we do matters because it is woven into every part of life, from the medical gases that patients rely on to the essential elements needed to safely and sustainably produce the goods our communities depend on.
Under the mentorship of internationally renowned leaders Dr. Dorry Segev, MD, PhD, Dr. Sommer Gentry, PhD, and Dr. Michal Mankowski, PhD the Research Engineer will join a multidisciplinary team committed to addressing critical challenges in organ transplantation and improving patient outcomes. Since you will be working in an interdisciplinary team of engineers, clinicians, and scientists, it is imperative that you have the ability to articulate complex technical concepts in a way that they are understood by a non-technical audience.
em>For more information, go tomed.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, TwitterandInstagram. Under the mentorship of internationally renowned leaders Dr. Dorry Segev, MD, PhD, Dr. Sommer Gentry, PhD, and Dr. Michal Mankowski, PhD the Research Engineer will join a multidisciplinary team committed to addressing critical challenges in organ transplantation and improving patient outcomes.
Florham Park, New Jersey18 days ago
p>Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Research and develop innovative capabilities that incorporate machine learning and other advanced concepts in areas such as federated learning, network analysis, resource allocation & planning, and robust communications in challenging networking environments.
p>Located at a premier corporate campus in central Westchester County, working in Hawthorne offers the ultimate blend of lifestyle, convenience, and accessibility: - The Perfect Commute: Skip the grueling gridlock and parking costs of New York City while remaining just a short drive or an easy Metro-North train ride away from Manhattan.
- Prime Accessibility: Situated immediately off major transit arteries (Sprain Brook Parkway, Saw Mill River Parkway, and I-287), making it a low-stress, highly reverse-commutable drive from anywhere in New York, Connecticut, or northern New Jersey.
Monmouth Junction, NJ30+ days ago
Built on a proprietary closed-loop platform PNEs high-performing technologies span multiple high-growth materials businesses including Rejuvenation Cathode-to-Cathode direct recycling Advanced Black Mass production Upcycled CAM and more - strengthening the domestic battery supply chain and supporting U.S. energy independence and national security priorities. Princeton NuEnergy PNE is an advanced materials manufacturing and technology company with the most cost-effective and capital-efficient process for the production of battery-grade cathode active material CAM for lithium-ion batteries.
li style="font-family:'arial' , 'helvetica' , sans-serif;font-size:12pt">Work collaboratively across cross-functional teams (Digital Product, Product Testing, User Research, Data Engineering, Advocacy) to share insights and ensure learnings are leveraged broadly across Consumer Reports. You have a demonstrated curiosity for solving challenging and non-straightforward engineering problems; this might be reflected in a prior research engineering position, contributions to open source projects, self-directed programming projects, or something you'll surprise us with.
Under the mentorship of internationally renowned leaders Dr. Dorry Segev, MD, PhD, Dr. Sommer Gentry, PhD, and Dr. Michal Mankowski, PhD the Research Engineer will join a multidisciplinary team committed to addressing critical challenges in organ transplantation and improving patient outcomes. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people.
p>If you need a reasonable accommodation for any part of the employment process, please contact us by email at applicantaccommodation@inteplast.com and let us know the nature of your request and your contact information. Capable of effectively managing job-related stress and fostering productive workplace interactions.
Florham Park, NJ16 days ago
p>Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Research and develop innovative capabilities that incorporate machine learning and other advanced concepts in areas such as federated learning, network analysis, resource allocation & planning, and robust communications in challenging networking environments.
ul>Strong engineering skills, especially any of: CUDA/Triton/Pallas/CuTe DSL kernel development, lower-level PyTorch/JAX/XLA development, CUDA Graphs, FPGA/ASIC experience. HAIL (HRT AI Labs) is the team at HRT responsible for developing and maintaining our most powerful models, which are used by our trading teams to drive a significant fraction of our trading.
ul>Strong engineering skills, especially any of: CUDA/Triton/Pallas/CuTe DSL kernel development, lower-level PyTorch/JAX/XLA development, CUDA Graphs, FPGA/ASIC experience. HAIL (HRT AI Labs) is the team at HRT responsible for developing and maintaining our most powerful models, which are used by our trading teams to drive a significant fraction of our trading.
New York City, NY30+ days ago
This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster.
New York City, NY3 days ago
p>Although our work will evolve over time, it currently spans three broad areas: Assuring that our AI agents rigorously obey the law: evaluations and fine-tuning to assess and improve how models process legal constraints, including alignment work in settings where defining the optimization objective is hard and novel techniques may needed. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
New York City, NY17 days ago
You''ll design RL environments and coding tasks, build the reward signals and verifiers that capture what "good code" means, run training experiments on frontier models, diagnose why a model does (or doesn''t) get better at a class of software-engineering work, and improve the speed and reliability of the pipelines that make all of that iterate fast. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
ul>Collaborate with other engineers and scientists to develop scalable data pipelines for diverse AEC data sources used in production ML systems, including BIM, CAD, and infrastructure design data.
Work with large-scale, multi-modal datasets including text and geometric data, to design novel preprocessing, augmentation, analysis and content understanding.
You''ll own and drive the entire training stack: building fault-tolerant infrastructure that scales across thousands of GPUs and TPUs with near-linear performance, engineering data pipelines that stream terabytes per second as our models train on petabytes of data from every corner of the global markets, and designing custom kernels that unlock 10x efficiency gains. Co-designing novel architectures with researchers and pioneering cutting-edge approaches to mixed-precision training and model parallelism, you''ll have the latest generation hardware at your disposal.
Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan. About You A Bachelor of Science degree, computer science or related field At least 2 years software engineering experience, ideally in the context of machine learning and natural language processing Experience and understanding of Python software development stacks and ecosystems, ideally also experience with other programming languages and ecosystems.
Morris Plains, New Jersey30+ days ago
We are committed to providing our employees with a benefits program that is comprehensive and competitive – including healthcare, wellness, inclusion networks, and continued learning and development offerings. In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 10% of base pay, in accordance with the terms of the applicable incentive plan.Zebra
Salesforce AI is looking for talented software and platform engineers to embed in our AI team to bridge the gap between frontier AI technology and customer-facing reality. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Motivated by a passion for continuous improvement, you'll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets. Our mission is to constantly improve the market by injecting liquidity, providing accurate pricing, increasing transparency and acting as a stabilizing force no matter the market conditions.
You'll be on the front lines of customer engagements — using our open source tool Apex to run pentests, curate and present findings, and stand up our platform inside customer environments. In parallel, you'll drive original offensive and open source security research, and feed everything you learn in the field back into the product so Pensar keeps getting sharper as a pentesting platform.
New York City, NY30+ days ago
Stand up a new eval that tests a specific reasoning capability from scratch - define the task, build the dataset, implement the scoring, validate against known signals, and ship a dashboard that makes the result legible. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
As a result, Distyls technologies affect some of the worlds largest operations - from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys. Experience Building Agentic Systems: You have built AI systems that use models, tools, retrieval, planning, memory, or multi-step execution to complete real tasks.
This role is for engineers who are excited to investigate how AI systems should be designed, rapidly prototype new ideas, and turn promising concepts into reliable systems that work inside real customer environments. As a result, Distyls technologies affect some of the worlds largest operations - from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
This role is for engineers who are excited to investigate how AI systems should be designed, rapidly prototype new ideas, and turn promising concepts into reliable systems that work inside real customer environments. As a result, Distyls technologies affect some of the worlds largest operations - from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
It's a big mission, and that's where you come in! At Duolingo, you'll join a team that cares about finding innovative solutions to complex technical problems, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. The ideal candidate will have a proven track record as an AI research engineer, with extensive experience across various machine learning techniques including large language models, multi-armed bandits, and more.
p>Collaborate with colleagues on building and applying LLMs for production systems and applications Write test and maintain production quality code Train, tune, evaluate, and continuously improve LLMs using large amounts of high-quality data to develop state-of-the-art financial NLP models Demonstrate technical leadership by owning cross-team projects Stay current with the latest research in AI NLP and LLMs and incorporate new findings into our models and methodologies Represent Bloomberg at scientific and industry conferences and in open-source communities Publish product and research findings in documentation, whitepapers, or publications to leading academic venues. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team or teams of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
li>Innovate in AI attack techniques by combining cutting-edge academic research with proven offensive security methods to establish new Tactics, Techniques, and Procedures, and operationalize emerging research to keep assessments aligned with the state of the art. Proven experience leading complex technical projects and/or mentoring security teams, with exceptional ability to communicate high-stakes technical risks to both engineering and executive audiences.
New York City, New York3 days ago
This is a deeply technical role with real scope: you'll architect and ship systems that power AI-driven financial analysis, build the tooling and infrastructure that domain experts rely on, and set the engineering bar for how we build AI systems responsibly in a regulated industry. Final compensation will depend on a variety of factors, including experience, skills, internal leveling, and market conditions, and will be offered within the stated range in accordance with applicable pay transparency laws..
Examples include: • Designing highly customized quantitative systems that enable Algo Developers to easily express and backtest new predictive signals. Optimize both the mechanics and ergonomics of Algo Developer research workflows; this requires developing a deep intuition for research methodologies.
New York City, NY30+ days ago
We prototype new approaches to safe models, usage safeguards, and production safety - pressure-testing ideas through offline analysis and subsets of traffic before they graduate into production systems run by our partner Safeguards teams. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
New York, New York3 days ago
Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. You will work closely with a team of research scientists and engineers to create tooling that enables tighter experimentation cycles, better data coverage of the real world, and more scientific rigour.
New York City, NY7 days ago
This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. You''ll own the end-to-end process of creating RL environments for new capabilities: identifying high-value tasks, designing reward signals, managing vendor relationships, and measuring impact on model performance.
With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Description:
Working at Trenchant means working alongside the best security researchers and product engineers from across the security research and intelligence communities.
New York City, New York30+ days ago
p style="min-height:1.5em">If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program.
Transform messy, silver tables into curated, semantically rich, clean and documented gold datasets suitable for AI model development, including datasets and features reusable for AI development across projects. What you build will be a highly leveraged asset, relied on by multiple AI model system creators across the full R&D lifecycle: EDA, experiments, model development, evaluation, and operational sustaining--supporting AI work ranging from classical ML to the latest generative and agentic approaches.
The team aims to develop and improve decision-making capabilities across the company by undertaking intersectional research, building scalable data products, and providing frameworks and guidance that improve how we think about and interact with our members. You hold an advanced degree (PhD) in Computer Science, Electrical Engineering, or a related technical field with a focus on machine learning, artificial intelligence, or computer vision, or equivalent industry experience.
New York, New York26 days ago
Our founding team spent 3.5 years scaling Carbon Health's technology during hypergrowth, where we saw firsthand how much clinical time gets wasted on basic communication—great clinicians buried in admin work, patients stuck in phone tag. We build Mia, an AI voice agent that handles inbound patient calls for multi-location healthcare providers - and as we grow, we need someone who can help us make more confident, evidence-backed decisions about how Mia evolves.