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Artificial Intelligence Intern – Deep Learning & Foundation Models \n \n Location: United States | Remote / Hybrid \n Engagement: Internship \n Compensation: Fixed \n Work Authorization: Must be authorized to work in the United States. Visa sponsorship is not available. \n \n About the Opportunity \n We are an early-stage, US-based deep technology company developing proprietary AI foundation models and advanced predictive systems at the intersection of artificial intelligence, scientific computing, and complex data intelligence. \n We are seeking a highly motivated, technically strong, and research-oriented Artificial Intelligence Intern to contribute to the design, development, training, and evaluation of advanced machine learning architectures. \n This is a hands-on opportunity to work on original AI models, complex scientific datasets, and challenging research problems alongside an interdisciplinary engineering and research team. \n \n Required Qualifications \n\n • Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, or a related technical field.\n, • Strong programming proficiency in Python, with practical experience using PyTorch or TensorFlow.\n, • Solid understanding of machine learning algorithms, neural networks, and deep learning fundamentals.\n, • Familiarity with CNNs, GNNs, Transformers, or other modern neural architectures.\n, • Strong mathematical foundations in linear algebra, probability, statistics, and optimization.\n, • Experience with NumPy, Pandas, scikit-learn, and Git.\n, • Ability to independently implement, debug, and evaluate machine learning models.\n, • Strong analytical thinking, research curiosity, and problem-solving skills.\n\n \n Preferred Qualifications \n\n • Strong knowledge of diffusion models, generative AI, or foundation model architectures.\n, • Familiarity with RAG, GraphRAG, knowledge graphs, LLMs, and vector databases.\n, • Exposure to geometric deep learning, equivariant neural networks, or multimodal AI.\n, • Experience with PyTorch Geometric, Hugging Face, LangChain, LlamaIndex, or related frameworks.\n, • Knowledge of self-supervised learning, contrastive learning, and representation learning.\n, • Experience with GPU computing, cloud infrastructure, or distributed training.\n, • Previous AI/ML research, publications, open-source contributions, or advanced technical projects.\n, • Interest in scientific machine learning, computational modeling, and interdisciplinary AI research.\n\n \n What We're Looking For \n We are looking for intellectually curious and technically ambitious individuals who enjoy solving challenging problems and experimenting with advanced AI architectures. \n The ideal candidate demonstrates: \n\n • Strong fundamentals in machine learning and deep learning.\n, • Ability to understand and implement technical research papers.\n, • Experience building AI models beyond standard API integrations.\n, • A structured approach to experimentation, debugging, and model evaluation.\n, • Independence, ownership, and the ability to thrive in a fast-paced research-driven environment.\n\n \n This internship focuses on original AI model development, research engineering, and foundational machine learning—not primarily prompt engineering, chatbot development, or third-party API integration. \n \n Engagement & Compensation \n Location: United States — Remote / Hybrid, depending on project requirements. \n Engagement: Internship with opportunities to contribute to ongoing AI research and engineering initiatives. \n Compensation: Open to discussion based on experience, technical capabilities, and internship scope. \n Work Authorization: Applicants must be legally authorized to work in the United States. We do not offer employment-based visa sponsorship now or in the future. \n \n How to Apply \n Interested candidates should submit: \n\n • Resume or CV\n, • GitHub profile or technical portfolio\n, • Relevant AI/ML projects, research publications, or model implementations\n, • A brief description of their technical interests and experience\n\n We welcome candidates who are passionate about advancing AI research and contributing to the development of proprietary, next-generation intelligence systems.

Senior Machine Learning Engineer (Generative AI) Location: Hybrid – Newark, NJ Employment Type: Right to Hire (Contract-to-Hire) Pay Rate: $70–$85/hr Position Overview We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic team. In the rapidly evolving world of Generative AI (GenAI), this role demands not only traditional machine learning expertise but also a deep understanding of GenAI-specific challenges. The ideal candidate will be a pivotal bridge between the theoretical capabilities of GenAI models and their practical application in production environments, ensuring our GenAI solutions are innovative, reliable, scalable, secure, and cost-effective. This is a right-to-hire position requiring permanent U.S. work authorization Sponsorship is not available. Recent MS or PhD graduates are encouraged to apply. Key Responsibilities • Deploy, monitor, and maintain GenAI models in production, ensuring reliable performance in real-world settings, • Build and maintain efficient data pipelines and storage solutions that support model operations, • Utilize cloud platforms (AWS, Azure, GCP) for model deployment, containerization (Docker), orchestration (Kubernetes), and infrastructure as code (Terraform/CloudFormation), • Develop CI/CD pipelines, manage version control (Git), and automate deployment processes, • Implement secure coding practices, authentication, authorization, and robust monitoring and alerting for infrastructure and model performance, • Apply deep expertise in LLMs, GenAI architectures, frameworks like Hugging Face, prompt engineering, and specialized GenAI infrastructure, • Apply advanced techniques such as Retrieval-Augmented Generation (RAG), hallucination monitoring, and human-in-the-loop systems, • Design and develop agent and multi-agent systems using frameworks like LangChain, enabling interaction with external APIs and tools, • Implement strategies to manage and reduce operational costs associated with GenAI deployments Qualifications • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field; Master's degree preferred, • 5+ years of experience as a machine learning engineer deploying models in production, • Strong proficiency in Python and software engineering principles, • Solid understanding of machine learning fundamentals and model lifecycle management, • Experience with cloud platforms, containerization, and infrastructure management, • Familiarity with DevOps practices and automation tools, • Expertise in GenAI frameworks, prompt engineering, and model serving, • Ability to manage GPU/TPU resources and optimize model serving frameworks, • Experience developing agentic systems and multi-agent architectures, • Proven track record of cost optimization in AI deployments, • Comfortable working in a fast-paced environment as an independent contributor

We're a different kind of AI lab. Our research sits at the crossroads of database systems and interoperability, and it's shaped by real problems our enterprise partners bring to us. We love work that's hard, meaningful and genuinely enjoyable at once. The best days here start with a tough problem, a whiteboard and a pile of code and experiments, and end with pizza boxes on the table and a solution finally cracked. We're builders at heart, drawn to problems nobody's solved yet and always looking past the immediate task toward what's next. 💡 About the Role We're hiring a Founding Software Engineer to build products from the ground up and turn early stage research ideas into working systems. You'll contribute to product development, co-author papers submitted to leading scientific conferences and help drive our open-source efforts. This is a true owner-operator position. You'll help shape a new type of applied AI research lab from its earliest days, with substantial equity upside to match the responsibility. 🔨 Who We're Looking For People who: • Have an underway PhD or a PhD degree. We're a research lab, and every technical team member authors papers;, • Have real builder experience, whether through hackathons, side projects or products shipped to real users (bonus points for scale);, • Can't stop generating ideas. Ask them to build one feature and they'll come back with three more they think should exist too;, • Want to work shoulder to shoulder with PhD researchers on new ideas in AI, ML and database systems;, • Care about owning what they build from start to finish. 🔬 Who We Are • Moving fast: pre-seed funding closed, partnerships with leading universities in place and a major enterprise client signed, all within a few months;, • Based out of two top-tier campuses;, • Led by a technical founder with a PhD in computer science from a top program;, • Committed to publishing at major scientific venues several times a year, with every technical team member credited as an author. Please note that an underway PhD or a PhD degree is a must for this role. We're a research lab, and every technical team member authors papers.

Head of AI Product We have a search for a Head of AI for our large alternative investment firm. They have begun with a small team who has built proprietary LLM’s and Bot’s are already used by 80% of the firm. The success has created an appetite for more. The spirit around this function is to scaling AI technologies across all business groups mainly to create alpha and secondarily, to drive efficiency. As Head of AI, you will lead the enterprise-wide strategy, across every aspect of the business, from Portfolio Management to Investor Relations. Your mandate is to scale AI solutions across business groups, putting people in place to understand the business needs and then execute them with the latest tools. This includes building scalable AI infrastructure, fostering cross-functional collaboration. You will report to the CTO and oversee and build a team of AI specialists, data scientists, and engineers. Key Responsibilities • Develop and execute a comprehensive AI strategy aligned with the organization’s business objectives, prioritizing high-impact use cases for scaling across all business units., • Lead the scaling of AI technologies enterprise-wide, including designing MLOps pipelines, real-time inference systems, and integration with existing workflows., • Collaborate with C-suite, business group leaders, and portfolio managers to identify AI opportunities, break down silos, and drive adoption., • Oversee AI infrastructure and operations, including vendor partnerships, budget management, and performance metrics to achieve efficiency gains like reducing operational costs or improving decision accuracy., • Champion innovation by piloting and scaling advanced AI technologies (e.g., generative AI, agentic systems)., • Represent the organization as an AI thought leader, building external partnerships and navigating industry-specific challenges in finance or multi-unit operations. Qualifications and Skills • Software Engineering leadership experience with an new focus on in AI/ML, with a proven track record of scaling AI initiatives.(, • Deep technical expertise in AI technologies, including machine learning, LLMs, MLOps., • Advanced degree (MS/PhD preferred) in Computer Science, AI, or a related field; executive presence for C-suite and board interactions., • Excellent communication and change management skills to foster an AI-literate culture across business groups.

FX Quant Trader Location: New York City, NY Type: Full-Time Industry: Proprietary Trading / Quantitative Finance About the Role: We are seeking a highly quantitative and entrepreneurial FX Quant Trader to join a leading proprietary trading firm in New York City. This individual will be responsible for developing, implementing, and managing systematic and semi-systematic trading strategies across global foreign exchange markets. The role combines quantitative research, strategy development, execution optimization, and risk management within a fast-paced, technology-driven trading environment. The ideal candidate has a strong background in FX markets, statistical modeling, and algorithmic trading, with a proven ability to identify and capitalize on market inefficiencies. This is an opportunity to work alongside experienced traders, researchers, and technologists while having direct impact on P&L generation. Responsibilities • Research, develop, and deploy quantitative trading strategies across G10 and Emerging Market FX products., • Analyze large datasets to identify predictive signals, market anomalies, and alpha opportunities., • Design and enhance systematic execution models to improve trading performance and reduce transaction costs., • Monitor, manage, and optimize live trading strategies with direct responsibility for risk and profitability., • Collaborate with quantitative researchers and software engineers to build scalable trading infrastructure., • Conduct statistical analysis, backtesting, and performance attribution of trading models., • Leverage alternative data, macroeconomic indicators, and market microstructure insights to drive trading decisions., • Continuously evaluate market conditions and adapt strategies to evolving liquidity and volatility regimes., • Develop tools for portfolio construction, risk management, and signal generation., • Present research findings, strategy recommendations, and performance updates to senior leadership. Qualifications • Bachelor's, Master's, or PhD in Mathematics, Statistics, Physics, Computer Science, Engineering, Economics, or a related quantitative discipline., • 3+ years of experience trading or researching systematic FX strategies within a proprietary trading firm, hedge fund, bank, or electronic market maker., • Strong understanding of FX market structure, liquidity dynamics, and macroeconomic drivers., • Demonstrated track record of developing profitable quantitative trading strategies., • Advanced programming skills in Python; experience with C++, Java, or Rust is a plus., • Expertise in statistical modeling, machine learning, time series analysis, and optimization techniques., • Experience working with large financial datasets and high-performance research environments., • Strong knowledge of risk management frameworks and portfolio construction methodologies., • Excellent analytical, problem-solving, and communication skills.

Quantitative Developer Delmar Nord has partnered with a leading multi-strategy hedge fund to identify a Quantitative Developer to join their technology team. This is an opportunity to work alongside portfolio managers, researchers, and engineers building the infrastructure and tools that power systematic and discretionary trading strategies across multiple asset classes. About the Opportunity Our client is a prominent hedge fund known for its rigorous, data-driven approach to investing and its investment in top engineering talent. The firm is looking to add a Quantitative Developer who can bridge the gap between research and production, helping translate quantitative models into robust, scalable systems. Responsibilities The Quantitative Developer will design, build, and maintain high-performance systems used for research, trading, and risk analysis. This includes developing and optimizing pricing, signal generation, and execution infrastructure; collaborating closely with quantitative researchers and portfolio managers to implement and productionize models; building tools and libraries to support backtesting, data analysis, and strategy development; working with large, complex datasets to ensure data integrity, performance, and scalability; and contributing to the design of core platform architecture used across trading teams. Qualifications Candidates should have a bachelor's, master's, or PhD in Computer Science, Mathematics, Engineering, Physics, or a related quantitative field, along with strong software engineering fundamentals and fluency in C++ and/or Python. Experience in a low-latency, high-performance computing environment is valued, as is a solid grounding in data structures, algorithms, and object-oriented design. Prior experience at a hedge fund, prop trading firm, or other quantitative finance environment is a plus, though strong candidates from adjacent high-performance industries (e.g., tech, HFT-adjacent engineering) will also be considered. Strong communication skills and the ability to work closely with both researchers and engineers round out the ideal profile. What's Offered This role offers highly competitive compensation, including base salary and performance-based bonus, along with the chance to work at the intersection of cutting-edge technology and financial markets, exposure to sophisticated quantitative strategies, and a collaborative, high-caliber team environment.

Since 1973, East West Bank has served as a pathway to success. With over 110 locations across the U.S. and Asia, we are the premier financial bridge between the East and West. Our teams of experienced, multi-cultural professionals help guide businesses and community members on both sides of the Pacific looking to explore new markets and create new opportunities, and our sustained growth and expertise in industries like real estate, entertainment and media, private equity and venture capital, and high-tech help build sustainable businesses and expand our associates’ potential for career advancement. Headquartered in California, East West Bank (Nasdaq: EWBC) is a top-performing commercial bank with a strong foundation, an enterprising spirit and a commitment to absolute integrity. East West Bank gives people the confidence to reach further. East West Bank is seeking a highly experienced Senior Vice President (SVP) – Data Science & Advanced Analytics to lead enterprise-scale AI, machine learning, and advanced analytics initiatives that drive measurable business outcomes across the bank. This role is designed for a hands-on, execution-oriented leader with deep expertise in data-driven decisioning, scalable analytics platforms, and AI-enabled process transformation within highly regulated industries. The ideal candidate combines strong technical depth with practical business acumen and has a proven track record building production-grade analytics solutions that improve operational efficiency, risk management, customer experience, and profitability. The role partners closely with business, technology, data engineering, risk, compliance, and operations teams to operationalize AI and analytics capabilities across critical banking functions. Key Responsibilities • Lead the design, development, and deployment of enterprise AI, machine learning, and advanced analytics solutions across key banking domains including risk, fraud, AML/BSA, customer analytics, and operational intelligence., • Drive end-to-end analytics delivery from business problem definition through data engineering, feature engineering, model development, deployment, monitoring, and business adoption., • Build scalable and production-grade machine learning pipelines leveraging Azure-native and distributed computing frameworks including Azure ML, Databricks, Spark, and cloud-based data platforms., • Operationalize AI and analytics solutions within core business processes and decision workflows to drive measurable business value and adoption., • Partner with engineering teams to integrate models into enterprise systems through APIs, microservices, and modern data platforms., • Lead model governance, explainability, monitoring, validation, recalibration, and regulatory compliance activities aligned with banking and model risk expectations., • Establish best practices for MLOps, model lifecycle management, CI/CD automation, experiment tracking, and production monitoring., • Collaborate cross-functionally with business, risk, compliance, legal, audit, and technology stakeholders to ensure responsible and scalable AI adoption., • Mentor and lead high-performing analytics and data science teams, including distributed or offshore resources where applicable., • Translate complex analytical insights into executive-level recommendations and measurable business outcomes. Required Qualifications & Skills • 10+ years of hands-on experience in data science, advanced analytics, AI/ML engineering, or quantitative modeling, including leadership experience within financial services, fintech, insurance, or other regulated industries., • Proven track record delivering production-grade AI and analytics solutions with measurable business impact in complex enterprise environments., • Deep hands-on expertise in Python, SQL, machine learning frameworks, statistical modeling, predictive analytics, and distributed data processing., • Strong practical experience with modern AI/ML tooling and platforms including Azure ML, Databricks, Spark, TensorFlow, PyTorch, scikit-learn, XGBoost, MLflow, and cloud-native analytics ecosystems., • Experience implementing scalable MLOps frameworks including model deployment, CI/CD automation, model monitoring, experiment tracking, and governance controls., • Strong understanding of model risk management, explainability, auditability, data governance, privacy, and regulatory expectations within regulated industries., • Hands-on experience integrating analytics and AI solutions into enterprise applications, APIs, operational workflows, and decision systems., • Strong process orientation with the ability to redesign workflows and operational models using data-driven insights and AI-enabled automation., • Demonstrated ability to influence senior executives and drive cross-functional execution across business, technology, risk, and operations teams., • Excellent communication, stakeholder management, and executive presentation skills., • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related quantitative discipline. Differentiating Experience (Highly Preferred) • Direct experience building AI and analytics capabilities within commercial banking, consumer banking, payments, lending, fraud, AML/BSA, or regulatory reporting environments., • Experience deploying Generative AI, LLM, NLP, or intelligent automation use cases in production environments., • Strong knowledge of SR 11-7, CCAR, CECL, BCBS 239, and enterprise governance frameworks related to AI and model risk., • Experience designing enterprise feature stores, vector-based retrieval systems, or real-time inference architectures., • Experience leading enterprise AI transformation initiatives from proof of concept through scaled production adoption., • Master’s degree or PhD in a quantitative discipline., • Demonstrated ability to build, retain, and scale high-performing analytics organizations. Applicants must have legal authorization to work in the United States. We do not offer visa sponsorship at this time. Compensation The base pay range for this position is USD $125,000.00/Yr. - USD $250,000.00/Yr. Exact offers will be determined based on job-related knowledge, skills, experience, and location.

Has owned the full frontier post- training loop end to end: At least 3+ published research at top ML conferences - must be top few/lead authors, not just a contributor Deep expertise in LLM evaluation, benchmark design, and data quality as inputs to model training – not evaluation as a standalone function Research domain must be in LLM training or post- training, not speech, audio, vision, or robotics 6 - 10 years of experience in AI/ML research post- undergrad across academics and industry Experience designing benchmarks, evals, or datasets for LLM improvement Industry research experience at an AI lab or AI infrastructure company Engineering fluency (Python/PyTorch) to collaborate on eval infrastructure Can design experiments, inspect data, and ship quantitative analysis end- to- end Education PhD in ML, CS, computer vision, statistics, or quantitative science from a top- tier program

A leading global multi-strategy hedge fund is seeking a Systematic Macro Quantitative Researcher to join a collaborative investment team based in Houston or New York. This is a front-office role focused on the research, development and implementation of systematic macro strategies, with a particular emphasis on commodities and opportunities across global markets. This position offers direct exposure to a Senior Portfolio Manager and the opportunity to contribute across the full research lifecycle, from idea generation and alpha research through to production implementation. The successful candidate will apply rigorous statistical and quantitative methods to develop predictive signals, enhance research infrastructure and refine systematic investment strategies, operating within an entrepreneurial environment where independent thinking and intellectual curiosity are highly valued. Key Responsibilities • Work closely with the Senior Portfolio Manager to develop and enhance systematic macro investment strategies, with a primary focus on commodities., • Research and generate new alpha ideas across global macro markets., • Analyse diverse datasets to identify predictive relationships and investable opportunities., • Contribute to the full research process, including data preparation, statistical analysis, signal development, backtesting and implementation., • Apply advanced statistical techniques and machine learning to develop and evaluate predictive signals., • Design and build robust quantitative systems to support systematic trading strategies., • Translate research findings into reliable production implementations in collaboration with the Senior Portfolio Manager., • Develop and improve data pipelines, statistical learning tools, alpha analytics and backtesting infrastructure., • Independently evaluate new research ideas and communicate findings clearly to the investment team., • Collaborate with colleagues to improve research methodologies and the overall systematic investment process. Requirements • Preferably 3 or more years of quantitative research experience focused on systematic macro strategies, including alpha research across commodities, FX or rates., • Strong research and programming skills, with proficiency in Python., • Strong understanding of statistical analysis, quantitative modelling and systematic strategy development., • Experience across electricity, natural gas, crude oil, oil products or agricultural commodities is highly advantageous., • Experience researching intraday macro strategies is beneficial., • Knowledge of transaction cost modelling is advantageous., • Experience building production quantitative systems within a hedge fund, proprietary trading firm or systematic investment environment is preferred., • Excellent analytical and problem-solving skills, with intellectual curiosity and a proactive approach to alpha research., • Ability to think independently, approach data analysis creatively and communicate complex ideas clearly., • Ability to contribute effectively within a collaborative, fast-paced investment team., • Bachelor's, Master's or PhD in Mathematics, Statistics, Computer Science, Economics, Physics or a related quantitative discipline is preferred. For more information contact: Elaine Bunyan - elaine@pointonetalent.com Graham Murphy – graham@pointonetalent.com

You'll build the models that decide, in real time, what an ad on Connected TV or mobile is worth. They run inside a bidding system handling millions of requests per second, so small gains in accuracy turn into real revenue. This is a hybrid role in New York City with a global ad tech company that's growing its US machine learning team. What you'll do • Build and improve conversion and lifetime value (LTV) prediction models for real-time bidding, • Design systems that combine several estimators to set bid values in real time, • Solve hard modeling problems: extreme class imbalance, delayed attribution, noisy or incomplete labels, and cold-start users, • Build targeting and identity features from IP-based signals on CTV inventory, • Own the research cycle from hypothesis to production, including offline experiments and A/B tests, • Work with engineering, data infrastructure, and operations teams to ship models to production, • Help set technical direction alongside applied scientists and engineers in Europe What you bring • 7+ years in machine learning, • 5+ years of Python, • 5+ years building predictive models, • 3+ years of SQL and statistical analysis, • Strong experiment design and A/B testing skills, • MS or PhD in ML, Statistics, Applied Math, or Computer Science preferred Nice to have • 3+ years in ad tech, especially CTV or real-time bidding, • Large-scale ML systems in production, • Deep learning, transformers, or sequence models, • Recommendation systems, • Scala or Java The details • Hybrid, New York City, NY, • Full-time, direct hire

Series-D Fintech startup that offers financial wellness solutions for underserved customers, is looking to bring on a Software Engineer in Midtown Manhattan(3 days onsite a week). This person will join a fast-paced team, assisting in building out scalable applications, and delivering core solutions. The ideal candidate will be well versed with: Java/Spring, OOP programming patterns, microservices, containerization & deployment tools, and delivered Agentic AI solutions. Ideal Skills & Experience • Experience with Java and Java ecosystem (open to C# and OOP backgrounds), • Background with OOP principles, design/programming patterns, • Experience with relational and ideally non-relational DB’s, • Experience with containerization and deployment tools, • Familiarity of REST, JDBC and multi-tier architecture, • Background with AI tools like Claude, Cursor, Gemini or similar, • Bachelor’s in computer science or related field required Desired Skills & Experience: • Master’s/PHD in computer science or a related field, • Background with javascript frameworks: react(preferable), angular and/or vue, • Experience building agentic AI agents to automate development pipeline, • Experience working in FinTech or adjacent field, • Experience programming with Python, Typescript, and/or Next.js, • Experience with AWS serverless tools(EC2, Lambdas, EKS, Fargate, etc Benefits: • Competitive Compensation Package, • Flex work hours with hybrid setup, • Stock options, • Yearly bonuses and perks, • Education/certification reimbursement, • Paid holidays, vacation and sick leave, • 401K with employer match

Senior Applied AI Engineer $220,000 - $300,000 Base Salary + Equity A high-growth, venture-backed software company is hiring a Senior Applied AI Engineer to help build the intelligence layer behind its platform. This is an opportunity to work on the cutting edge of LLMs, AI agents, retrieval systems, recommendation engines, and applied machine learning, developing products that directly influence customer decisions and business outcomes at scale. You'll join a highly technical engineering team responsible for transforming large volumes of operational and transactional data into intelligent recommendations, automated workflows, and AI-powered experiences used by thousands of customers. What You'll Be Doing • Design, build, and deploy production AI applications powered by LLMs, agents, and machine learning models, • Develop intelligent systems for recommendation, retrieval, ranking, and decision automation, • Build document understanding and information extraction workflows using modern AI techniques, • Create agentic workflows that automate complex customer and operational processes, • Develop evaluation frameworks, observability tooling, and experimentation systems to measure model quality and business impact, • Own the full AI lifecycle from research and prototyping through production deployment and continuous optimization, • Partner closely with Product, Engineering, and customers to identify high-impact AI opportunities, • Stay current on emerging advancements in AI, machine learning, agent frameworks, and LLM technologies Highlights 🤖 Production AI & Agent Development – Build AI systems that power real customer-facing workflows and business decisions 🧠 Work Across the Full AI Stack – Own everything from model experimentation and evaluation to deployment and monitoring 🔎 Advanced Retrieval & Recommendation Systems – Build ranking, search, personalization, and context-aware intelligence products 📊 Own AI Evaluation & Quality – Design testing frameworks, observability tooling, and model performance infrastructure 🚀 High Ownership & Impact – Take ideas from concept to production and influence product direction ⚡ AI-First Engineering Culture – Work alongside a highly technical team leveraging modern AI tools and development workflows 📈 Massive Growth Opportunity – Join during a period of rapid expansion and help shape the company's long-term AI strategy What They're Looking For • 5+ years of experience building and shipping AI, machine learning, or data-driven products, • Strong software engineering skills with Python and/or TypeScript, • Experience developing LLM-powered applications, AI agents, retrieval systems, recommendation engines, or similar AI products, • Strong understanding of experimentation, evaluation, monitoring, and production AI systems, • Ability to independently solve complex technical challenges and drive projects from idea to launch, • Strong communication skills and experience working cross-functionally, • BS, MS, or PhD in Computer Science, Engineering, or a related technical field (or equivalent experience) Nice to Have • Experience building agentic workflows or AI-powered automation platforms, • Experience with RAG, embeddings, vector databases, ranking, or personalization systems, • Familiarity with LLM observability, evaluation, or monitoring frameworks, • Experience with modern cloud infrastructure and scalable distributed systems, • Background in commerce, analytics, forecasting, pricing, or operational intelligence products Compensation & Benefits • $220,000 - $300,000 base salary, • Meaningful equity package, • Comprehensive medical, dental, and retirement benefits, • High-impact role with significant ownership, • Opportunity to work on cutting-edge AI products alongside experienced engineers and startup operators

A leading global multi-strategy hedge fund is seeking a Machine Learning Research Scientist to join a newly formed systematic equities investment team based in New York. This is a front-office research role focused on the development of proprietary deep learning models for financial time-series data, supporting predictive signal generation and systematic investment strategies. This position offers the opportunity to shape a long-term research agenda, design bespoke Transformer architectures from first principles and access significant computational resources for large-scale experimentation. The successful candidate will work closely with investment and technology professionals to translate advanced machine learning research into actionable trading signals, operating within a collaborative environment where scientific rigour and independent thinking are highly valued. Key Responsibilities • Design and implement custom decoder-only Transformer architectures for financial time-series modelling., • Develop tokenisation approaches for intraday market data, incorporating price movements, volume, order flow and cross-sectional features., • Build efficient PyTorch training pipelines using mixed-precision training, gradient checkpointing and multi-GPU parallelism., • Research attention mechanisms that capture temporal relationships, cross-asset dependencies and patterns across multiple timescales., • Develop evaluation frameworks to assess predictive accuracy, signal quality and trading performance., • Optimise model inference for low-latency production deployment through compression, quantisation and efficient decoding techniques., • Conduct rigorous experiments and ablation studies to validate architectural choices and training methodologies., • Collaborate with researchers and developers to integrate model predictions into live trading infrastructure., • Define and execute a sustained research agenda, assessing new approaches and refining models through systematic experimentation., • Document research methodology, experimental findings and architectural decisions. Requirements • PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics or a related discipline, with a focus on deep learning., • Demonstrated experience implementing Transformer architectures from first principles., • Deep understanding of attention mechanisms, positional encodings, tokenisation strategies and model training dynamics., • Expert-level PyTorch skills, including custom modules, training loops, mixed-precision training and multi-GPU training., • Experience training large-scale models with 100 million or more parameters., • Strong mathematical foundations in linear algebra, probability, optimisation and information theory., • Strong programming skills in Python and C++ for performance-critical components., • Ability to independently define and execute a research agenda spanning several months., • Familiarity with AI-assisted development tools., • Experience applying deep learning to financial data or time-series forecasting, including tokenisation of continuous or non-text data, is advantageous., • Published research at leading machine learning conferences, such as NeurIPS, ICML or ICLR, or equivalent industry research experience is preferred., • Knowledge of market microstructure, intraday trading dynamics, model compression and inference optimisation is beneficial. For more information contact: Graham Murphy – graham@pointonetalent.com

We're an AI lab built differently. We work where database systems meet interoperability, and our direction comes from the actual problems our enterprise partners face. We're drawn to work that's difficult, purposeful and fun all at once. Our best days start with a hard problem on the whiteboard, run through stretches of coding and testing ideas and end with an empty pizza box and a solved problem. At our core, we're people who build because we enjoy it, chase problems that haven't been cracked yet and always end up thinking past what was originally asked. 💡 About the Role We're bringing on a Founding Software Engineer to build products from zero and turn raw research concepts into functioning systems. The work spans product development, co-authoring papers for top scientific conferences and contributing to our open-source projects. This role comes with real ownership. You'll be part of building an applied AI research lab from the ground floor, and the equity reflects that level of responsibility. 🔨 Who We're Looking For People who: • Are currently pursuing a PhD or already hold one. We operate as a research lab, so every technical hire is expected to publish;, • Bring hands-on building experience, from hackathons to side projects to products actually shipped (extra credit if it scaled);, • Generate ideas nonstop. Give them one feature to build and they'll return with three more suggestions unprompted;, • Are drawn to collaborating closely with PhD researchers on new directions in AI, ML and database systems;, • Take full ownership of what they build from start to finish. 🔬 Who We Are • Growing quickly: pre-seed round closed, partnerships secured with leading universities and a major enterprise client signed, all inside a few months;, • Operating from two well-regarded academic campuses;, • Founded by a technical lead holding a PhD in computer science from a top-ranked program;, • Focused on publishing at major scientific venues multiple times per year, crediting every technical team member as an author. A PhD in progress or already completed is not a must, but a great differential for this role. As a research lab, we expect every technical team member to publish.

The Scientific Computing and Data team at the Icahn School of Medicine at Mount Sinai partners with scientists and clinicians to accelerate scientific discovery. The AI-Ready.Mount Sinai (AIR.MS) platform contains patient data generated from the clinical care processes at the Mount Sinai Health System. AIR·MS is a cloud-based, high-performance SAP HANA data platform with electronic health record (EHR) data in an OMOP data format. It also contains metadata from and links to raw data sets in other modalities, such as radiology, genomics and pathology. Researchers can access the AIR.MS data through direct database access, AI agents, cohort query tools and the Minerva high-performance computer. AIR.MS ingests OHDSI’s Observational Medical Outcomes Partnership (OMOP)-formatted EHR data from the Mount Sinai Data Warehouse. AIR.MS is integrated with Minerva, a high-performance computer with >21 petaflops of raw computational power and the raw radiology, genomics and pathology data sets. An expert team of 20+ PhD/MD computational scientists, biomedical informaticists and computer scientists partner with researchers and clinicians to effectively and efficiently utilize these resources for translational science. The Lead Data Warehouse Engineer is a senior technical specialist responsible for leading the ongoing integration of multi-modal clinical data into the AIR.MS data warehouse. The Lead Data Warehouse Engineer will assess the state of data integration, identify opportunities for data integration based on researcher’s priorities, develop a plan to integrate metadata and data, and execute on the data integration. The incumbent will work collaboratively with other members of the AIR.MS data platform and Mount Sinai Data Warehouse teams to lead technical efforts for the integration of multi-modal data sets resulting in expanded AIR.MS functionality. The AIR.MS data warehouse is built on the SAP HANA technology stack and MSDW is built on MySQL. Responsibilities: • Design databases and pipelines that balance functionality, performance, cost, and development time; evaluate technical options with the product manager, • Design, build, test, and maintain data pipelines that extract/capture data from source systems, transform and augment those data, and integrate it into a multi-modal data repository, • Serve as a team leader; contribute to project planning, work breakdown, dependency sequencing, and release management, • Develop and promote standards, conventions, design patterns, DevOps/SDLC best practices, and operational procedures for pipelines and warehouse maintenance, • Mentor junior engineers in data warehousing, data engineering skills, and operational support, • Design, build, and maintain data management processes, including loading flat files (csv, tsv, pipe-delimited, JSON), • Lead design sessions, code walkthroughs, peer reviews, and produce technical documentation, • Tune database objects, stored procedures, and pipelines to optimize performance and minimize compute and storage costs, • Monitor database and pipeline operations; lead troubleshooting and remediation of failures; provide occasional after-hours on-call support, • Collaborate with DBAs and system administrators on backups, performance tuning, statistics/index maintenance, and patching, • Provide high-quality customer service to researchers, clinicians, and internal partners; maintain a science‑driven, customer-focused approach, • Ensure patient privacy and data security in compliance with IRB & cybersecurity policies, HIPAA, 42 CFR Part 2, NYS Article 27-F, and other regulations, • Stay current with emerging technologies to improve capabilities, efficiency, quality, or cost, • Identify improvements in procedures, technology, compliance, and data privacy/security, • Periodically assist DBAs with user provisioning, backups, restorations, capacity planning, and performance monitoring, • Perform related duties as assigned Qualifications: • Bachelor’s degree in a technical field; Master’s preferred, • 12–15 years of related experience, including 7+ years designing, developing, and maintaining relational databases, data pipelines, and dimensional/OLAP warehouses. Preferred: • Expert knowledge of data warehousing: 3NF & dimensional modeling (fact table types, SCDs), change data capture, incremental loads, data lineage, source-to-target mappings, pattern-based & parameter-driven development, • Expert-level experience with data engineering technologies: SQL, indexing, stored procedures, UDFs, sequences, dynamic SQL, data transformation tools, job orchestration tools for data processing, • Experience with DevOps/SDLC best practices; Agile (Scrum, Kanban) with JIRA and Confluence;, • Strong communication and customer service skills for working with researchers, clinicians, administrators, and IT staff., • Excellent critical thinking, problem-solving, multitasking, and collaboration skills; ability to work independently in a fast-paced environment, • Preferred experience with healthcare data (EHR, billing/claims, cost accounting), Epic Clarity/Caboodle, data models (OMOP, i2b2, PCORnet., • Experience with database administration: configuration, performance tuning, partitioning, materialized views, permissions, backups & restorations. Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every indivi dual.At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. Compensation: The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $145200 - $217875 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

Job DescriptionThe Role The Director, Food Science & Product Development - Edibles is responsible for leading the Edibles product development team, bringing new edibles products to life from concept through commercialization. This role owns the product development process end-to-end: translating product briefs into winning formulations, building and running a sensory sampling and evaluation process, vetting and qualifying new ingredients, and developing and owning product specifications that guide consistent, high-quality products. The department is comprised of a dynamic team of food scientists and culinary experts, fostering a culture of creativity, rigor, and continuous improvement. This role partners closely with innovation, consumer insights, and implementation to ensure new products are both delightful to consumers and ready to scale. This leadership role is responsible for mentoring, developing, coaching, and advancing the edibles product development team. Green Thumb is growing fast, and as our Director of Product Development -Edibles, you will be tasked with ensuring we are staying cutting edge in this rapidly growing industry. A demonstrated expertise in food science, sensory evaluation, and a variety of CPG product development concepts, practices, platforms, and procedures is a must. This position will require occasional flexibility in working hours to set up and complete sensory sessions, bench trials, or product testing that may extend past typical working hours. This position requires 10% travel to different manufacturing facilities in the GTI network. Responsibilities Strategic Leadership: • Develop and execute the company's new product strategy in alignment with overall business objectives., • Drive innovation and new product development efforts to meet market demands and gain a competitive edge., • Take product briefs from concept to finished formulation, defining and assessing project scope, ingredient and flavor direction, feasibility, and project financials. Team Management and Development • Recruit, mentor, and manage a team of professionals, including food scientists., • Foster a collaborative and innovative work environment, encouraging cross-functional collaboration with other departments, including innovation, quality assurance, and procurement, and implementation to bring new products to market successfully., • Set clear performance expectations, conduct regular performance reviews, and provide constructive feedback to ensure constant growth of our GTI team members. Product Development: • Oversee the end-to-end product development process, from ideation to commercialization., • Take product briefs and translate them into finished products, leading concept development, ingredient selection, and bench formulation from first prototype through final formula., • Build, lead, and continuously refine a structured sensory sampling and evaluation process, gathering and synthesizing internal and consumer feedback to guide formulation decisions., • Vet, qualify, and approve new ingredients and suppliers for flavor, function, safety, cost, and supply reliability before they are incorporated into product formulations., • Develop and own product specifications (formulas, flavor profiles, sensory attributes, and finished product parameters), ensuring they are accurate, current, and clearly communicated., • Partner closely with the Implementation team throughout formulation handoff, fostering a collaborative, positive working relationship between the two teams., • Be onsite for the first scale-up of every new formula, providing hands-on guidance and product expertise as the Implementation team translates the recipe into a real manufacturing run., • Remain engaged and available to troubleshoot with the Implementation team if formulation-related issues arise in the field as they scale Product Development's recipes. Test Kitchen & Facility Management: • Manage the team's offsite leased test kitchen, the dedicated space where all product development work takes place, including the equipment within it and all processes and procedures., • Serve as the primary point of contact with the landlord, coordinating any building accommodations, maintenance, or repairs needed to keep the test kitchen running smoothly., • Ensure safe kitchen practices, food safety standards, and proper equipment maintenance are consistently followed throughout the test kitchen. Research and Trends Analysis: • Stay current with industry trends, consumer preferences, and emerging technologies to drive innovation., • Conduct market research and competitor analysis to identify growth opportunities., • Engages with cannabis and CPG current events to support recommendations of new products. Project Management and Technical Expertise: • Implement project management best practices to track progress, timelines, budgets and milestones for product development initiatives., • Maintain a deep understanding of the technical aspects of the projects and products the team is working on, and educate and share your technical knowledge with cross-functional partners to help them better design products and projects. Budget Management: • Develop and manage the budget for all projects flowing through product development, ensuring efficient allocation of resources to support PD initiatives., • Explore cost-saving opportunities in ingredients and processes. Regulatory Compliance and Quality: • Work with QA and Compliance to ensure that all products meet relevant food safety, labeling, and regulatory requirements., • Implement and maintain robust quality control processes and procedures for new products., • Address and resolve quality and compliance issues. Qualifications, • Bachelor's degree or higher in Food Science, Culinary Science, Chemistry, or a related field;, • Master's degree or PhD strongly preferred., • 10+ years of leadership experience., • Food science or product development experience in a CPG or food/beverage setting, including hands-on formulation and sensory evaluation., • Proven track record in accomplishing significant and impactful business results., • Demonstrated high level of leadership, relationship management, and communication skills; ability to work effectively with global teams., • Ability to be a technical and strategic leader as well as a hands-on implementer., • Excellent verbal and written communication skills with coworkers and management., • Familiarity with FDA and OSHA regulations., • Understanding & adhering to applicable federal, state and local laws and regulations as they pertain to the industry, safety regulations, local municipal codes and organizational rules, regulations, directives and standard operating procedures., • Highly motivated, self-directed, innovative and able to work independently or among teams with keen judgement, common sense and resourcefulness, • Adapts and thrives in a demanding, fast-paced environment, • Possesses a high level of critical thinking, • Operates with a high level of professionalism and integrity, including dealing with confidential information, • Must understand and comply with the rules, regulations, policies, and procedures of Green Thumb, • Must have a solid understanding of the Cannabis laws, rules and regulations and passion to further their understanding and knowledge of the industry and the laws. Additional Requirements, • Active driver's license or State ID card., • Must be a minimum of 21 years of age., • Must pass any and all required background checks., • Must be and remain compliant with all legal or company regulations for working in the industry., • Must be approved by the regulatory agency, if required, and maintain compliance with any employee badging process., • This position will require occasional flexibility in working hours to set up and complete sensory sessions, bench trials, or product testing that may extend past typical working hours., • This position requires 10% travel to different manufacturing facilities in the GTI network. Working Conditions: • While performing the duties of this job, the employee is regularly required to perform grasping, talking, hearing, seeing and repetitive motions., • Physical demands – May be required to stand and/or walk for extended periods of time. Must be able to lift, carry and balance up to 50 pounds (200 pounds with assistance)., • Extended periods of sitting and computer work., • This is a GMP facility and the Employee Hygiene and Personal Effects Policy must be followed, which prohibits wearing/having false eyelashes/eyelash extensions, false/long fingernails, fingernail polish/art, hairpins, non-permanent jewelry (permanent means it can only be removed surgically), and other items that may fall off. #LI_HYBRID The pay range is competitive and based on experience, qualifications, and/or location of the role. Positions may be eligible for a discretionary annual incentive program driven by organization and individual performance. Green Thumb Pay Ran

Job Description About DataCamp Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors. In this role, you'll collaborate with instructors and teams across curriculum, engineering, product, and marketing to expand and improve our Data Science and Data Engineering curriculum—helping millions worldwide upskill in data and AI. About the role This is an individual contributor role. You will collaborate with subject matter experts and leverage in-house-built cutting-edge AI tooling to scale high-quality course creation. Here's what your day-to-day will look like: • Manage the entire content development lifecycle and deadlines., • Source and recruit top-tier subject-matter experts as instructors., • Collaborate with instructors to create engaging content., • Consistently leverage a variety of off-the-shelf and in-house AI systems to drive high-quality content production., • Design, review, and create content on data science and data engineering. You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective., • Continuously assess course performance using learner feedback and engagement data to drive improvements., • Identify and prioritize existing curriculum gaps or new topics in data science and data engineering. Qualifications: • A solid technical background in Python and SQL. A technical background in data engineering is a plus., • Strong expertise in instructional design, with proven experience designing, structuring, and teaching technical courses, and creating interactive, hands-on learning experiences., • Graduate degree (Master's or PhD) in Computer Science, AI, Data Science, or a related STEM field, or equivalent industry experience with hands-on expertise in data science, machine learning, or software development., • Strong experience with agentic AI systems such as Claude Code, Cursor, Replit. You can demonstrate you've increased your output 10x with AI. Bonus if you have the following • A deep understanding of the DataCamp course format—you have an intuitive understanding of what makes a great DataCamp course., • An existing network of potential subject matter experts who can become DataCamp instructors., • An extensive track record of building sophisticated AI systems and workflows. Why Datacamp? Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team: • Exciting Challenges – Tackle some of the most important educational challenges in Data & AI., • Work with the Best Instructors – Partner with top-tier instructors from leading organizations like Microsoft, Hugging Face, AWS, and more., • Competitive Compensation – We offer a competitive salary with attractive benefits., • Work Flexibility – Benefit from flexible working hours and a remote-friendly culture., • Professional Growth – Access to a yearly learning & development budget., • Global Culture – Join a team that values international collaboration., • Annual Retreats – Participate in international company retreats, fostering a global team spirit., • Tools & Setup – Receive an annual IT equipment budget to refresh your workspace. Our competitive compensation package offers additional benefits. On top of your salary you will also receive extra legal benefits such as best-in-class medical insurance including dental and vision. Depending on your location additional benefits might be available to you.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: STEM PhDs and Technical Domain Experts Type: Contract Compensation: $55–$80/hour Location: Remote Role Responsibilities • Contribute subject matter expertise to a cutting-edge project involving state-of-the-art large language models., • Create high-quality data by developing difficult problems in your domain to inform the future of AI innovation., • Collaborate with AI research teams to enhance model reasoning and outputs., • Work independently and asynchronously to meet deadlines and improve AI model performance., • Provide structured feedback to elevate training data quality and downstream performance. Qualifications Must-Have • PhD or advanced degree (or equivalent industry experience) in Medicine / Healthcare, Statistics and Data Science, AI / ML Research, Computer Science, Game Development, or Mechanical / Aerospace Engineering., • High attention to detail., • Exceptional written and verbal communication skills. Start Date • Applications reviewed on a rolling basis. Interview Process • Complete a short interview and task (20–30 mins)., • Paid for up to 1 hour of onboarding time including this and onboarding videos if hired. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Software Engineering Expert Type: Contract Compensation: $60–$90/hour Location: Remote Commitment: 35 hours/week Role Responsibilities • Design realistic, multi-step software engineering challenges to push the limits of today's best AI coding agents., • Build reference solutions using Python with clear, verifiable answers., • Work with AI coding assistants to identify their strengths and weaknesses in your workflow., • Review tasks from fellow experts, providing feedback on clarity, correctness, and difficulty., • Analyze AI agent failures to help the research team understand task challenges. Qualifications Must-Have • MSc or PhD in computer science or a related STEM field, or equivalent practical experience., • 1+ years of experience in research, research-engineering, or software engineering., • Strong skills in Python scripting and debugging., • Fluency with Git, IDEs, and standard software development workflows., • Ability to work independently on open-ended problems. Preferred • Experience with AI coding assistants, prompt engineering, or agent workflows., • Past experience in AI training, model evaluation, or benchmark/task authoring. Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job DescriptionABOUT THE NEW YORK ACADEMY OF SCIENCES The New York of Academy of Sciences is an independent, not-for-profit organization that since 1817 has been committed to advancing science for the benefit of society. With more than 20,000 Members in 100 countries, the Academy advances scientific and technical knowledge, addresses global challenges with science-based solutions, and sponsors a wide variety of educational initiatives at all levels for STEM and STEM related fields. The Academy hosts programs and publishes content in the life and physical sciences, the social sciences, nutrition, artificial intelligence, computer science, and sustainability. The Academy also provides professional and educational resources for researchers across all phases of their careers. Please visit us online at www.nyas.org JOB TITLE: Director, Awards DEPARTMENT: Awards REPORTS TO: SVP, Scientific Programs and Awards SUMMARY: The Director of Awards will oversee, maintain, and help grow the Academy’s portfolio of scientific award programs including the Tata Transformation Prize and Blavatnik Awards for Young Scientists from development through execution. Manage a team of multidisciplinary PhD scientists to successfully deliver all elements of the Awards cycle from nominations to selection to gala ceremonies globally. Collaborate with the Academy’s Marketing, Communications, and Operations teams, external vendors, and Advancement staff to promote, fund, create dissemination products, and execute program events. As the Academy expands its Awards portfolio to include new prize programs supporting scientists across diverse fields and career stages, the Director, Awards will provide key conceptual, program management, coordination, and implementation support to help advance this growth. ESSENTIAL DUTIES: • Support Academy leadership in developing and advancing the strategic vision for the scientific awards portfolio, ensuring alignment with the broader awards, fellowships, and conferences portfolio. Help communicate portfolio goals, priorities and strategic direction to the Awards Team., • Manage day-to-day program operations to ensure the portfolio is on track to meet objectives, schedules, and budgets; flag potential challenges and recommend adjustments to resources as needed; ensure compliance with contractual and funder requirements, • Contribute to the growth and development of the Awards portfolio by identifying opportunities for process improvement, enhanced representation, and alignment with the Academy’s broader mission., • Collaborate with the Advancement team, the SVP Scientific Programs & Awards, and the Chief Scientific Officer on outreach strategies and fundraising efforts to sustain and expand Awards programs., • Oversee or support program renewals., • Develop budgets in partnership with the Finance team; track expenses against budgets, prepare forecasts, and help ensure proper approvals and compliance with Academy guidelines., • Plan and execute awards ceremonies, symposia, jury meetings, and other events in the U.S. and internationally, ensuring high-quality program delivery and smooth execution, in collaboration with the Academy’s operations team and external production companies. GENERAL RESPONSIBILITIES: Strategic Contributions & External Engagement • Develop a strong understanding of the Academy, its mission, and programs, and contribute scientific and programmatic insights to help shape mid- and long-term goals., • Build and maintain effective partnerships with a broad network of researchers, organizations, and institutions across academia, government, and industry., • Support sponsor relations by maintaining regular communication with representatives, assisting in the stewardship of current programs, and contributing to efforts to secure resources for new and expanded initiatives., • Support fundraising and partnership development by identifying opportunities for collaboration and new stakeholder engagement that can support the growth and innovation of the Awards portfolio.Program Management & Operations, • Ensure compliance with Academy policies, internal controls, and funder requirements, including financial and data reporting obligations., • Manage budgets, identifying potential gaps, and coordinating with Finance and sponsors to address financial commitments., • Track progress against defined goals and develop metrics to assess portfolio performance; highlight challenges or bottlenecks and recommend solutions., • Keep senior leadership informed of programming milestones, risks, and opportunities through timely and clear communication., • Support the planning and oversight of the judging process, including judge recruitment and selection, while upholding the highest ethical and procedural standards., • Contribute to the development and refinement of application, evaluation, and selection policies and procedures, incorporating best practices to ensure fairness, transparency, and objectivity., • Collaborate with internal teams and external partners to promote Awards programs globally and encourage diverse, high-quality applicant pools. SUPERVISORY RESPONSIBILITY: The Director will directly manage and oversee the day-to-day activities of multidisciplinary, PhD-trained scientists and measure performance and deliverables in accordance with the Academy’s performance management process. REQUIREMENTS: • Ph.D. in a relevant scientific discipline (Medicine and Biology, Chemical Sciences, Physical Sciences, or Engineering)., • At least 5-7 years of experience in scientific leadership, program management, or partnership development in academia, industry, government, publishing, or nonprofit/NGO sectors., • Demonstrated success in program management, including sponsor stewardship experience and identification of expansion opportunities., • Proven project management skills with the ability to oversee multiple complex initiatives, budgets, and cross-departmental teams., • Excellent relationship-building, communication, and facilitation skills; able to engage effectively with diverse stakeholders across science, academia, government, and industry, • Strong analytical, financial, and problem-solving abilities, coupled with integrity, sound judgment, and a commitment to the Academy’s mission., • Experienced leading teams and mentoring people. WORK SCHEDULE AND ENVIRONMENT: The Academy operates during standard business hours Monday through Friday from 9am-5pm ET. Standard work week is 35 hours, unless otherwise noted. The Academy offers a flexible hybrid work model, which includes a combination of in-office and remote work. Specific in-office days are determined in coordination with the team and leadership. Flexibility is offered where possible, but regular in-person collaboration is required to support team effectiveness and project goals. This role requires Domestic & International travel (2+ trips/year) within the U.S., India, and/or Europe, and other locations as needed is required. The Director is expected to attend all jury meetings, award ceremonies, symposia, and other events as needed for all programs in this Awards program portfolio. This position is primarily sedentary and performed in a professional office environment. The role routinely uses standard office equipment, including computers, phones, photocopiers, and video conferencing technology. Employees are regularly required to sit or stand for extended periods, communicate effectively, and occasional walking, bending, or lifting of light items (up to 10 pounds) may be required. COMPENSATION & BENEFITS: Salary: $110,000- $125,000 annually. This is a full-time, non-exempt position. The salary listed represents a target range; final compensation will be determined based on multiple factors, including experience and qualifications. In addition to salary, the Academy offers a comprehensive benefits package, which includes affordable health insurance, a retirement plan with matching employer contributions, a personal and career development stipend, as well as generous paid time off policies. HOW TO APPLY: Applications must include a resume and cover letter. Equal Employment Opportunity Statement The New York Academy of Sciences is an Equal Opportunity Employer and is committed to compliance with all applicable federal, state, and local employment laws. We prohibit discrimination in all aspects of employment, including recruitment, hiring, promotion, compensation, benefits, training, and termination, on the basis of any legally protected characteristic. This includes, but is not limited to, actual or perceived race, color, creed, religion, national origin, sex, gender identity or expression, sexual orientation, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by law. The Academy is also committed to making good faith efforts to recruit applicants from a wide range of backgrounds, experiences, and perspectives, including those historically underrepresented in the sciences Reasonable Accommodations The Academy is committed to providing reasonable accommodations to qualified individuals with disabilities and applicants with disabilities throughout the recruitment and employment process, in accordance with the Americans with Disabilities Act (ADA) and other applicable laws. If you need assistance or accommodations during the application or interview process, please contact Human Resources at hr@nyas.org Powered by JazzHR jT1l2eTnrO

Job Description At Solve Intelligence, we are building the AI-powered engine for the global Intellectual Property industry. We have real paying users, exponential growth, and a high-caliber team of AI PhDs and engineers. ️ The Role: Legal Counsel As a key member of our growing legal team, you will be at the center of our US expansion. You’ll partner directly with our GC, CEO, and CTO to ensure compliance, mitigate risk, and accelerate our commercial engine. What you’ll own: Commercial Powerhouse: Draft, review, and negotiate high-stakes B2B SaaS contracts with some of the world’s largest law firms (e.g., DLA Piper) and tech enterprises. AI & Product Guardrails: Provide business-oriented legal guidance to our AI researchers and engineers to help shape the product roadmap safely and innovatively. Global Compliance: Navigate privacy (GDPR/CCPA), security reviews, and regulatory landscapes across multiple jurisdictions. Scalable Infrastructure: Help build the policies and processes that allow a high-growth startup to scale from 600 teams to thousands. Problem Solving: Develop creative solutions for novel legal issues arising from generative AI. About Solve Intelligence We are the fastest-growing startup transforming how IP professionals work. Traction: 20-30% MoM revenue growth; currently serving 600+ IP teams across the US, Europe, and Asia. Impact: Our AI-powered platform helps with invention harvesting and patent generation, delivering 50-90% efficiency gains. Backing: Recently featured in Sifted following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Y Combinator, 20VC, Visionaries and others. Your Team You will collaborate with a founding team of AI researchers and legal experts: Justin (General Counsel): Chemical Engineer and Georgetown Law JD, ex-Quarles. Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired). Chris (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute. Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard). Who You Are We are looking for an ambitious, hard-working individual who thrives in a "move fast" culture. Strategic Partner: You don't just say "no"; you find the path to "yes" that protects the company. Independent & Confident: You are comfortable making decisions across time zones and working autonomously. AI-Curious: You are fascinated by the intersection of technology, law, and intellectual property. Excellence-Driven: You take extreme ownership of your outcomes and over-deliver on your goals. ️ What You Bring Must-Haves: JD & Bar Admission: J.D. from an accredited school and qualified to practice in New York. Experience: 5+ years at a top-tier law firm and/or high-growth in-house environment. SaaS Expertise: Proven track record negotiating complex B2B SaaS agreements. Communication: Exceptional writing skills and the ability to simplify complex legal concepts for non-lawyers. Nice-to-Haves: Experience with AI regulation and product counseling. Background in IT security, data privacy, or corporate law. USPTO Admission: Admitted to practice before the USPTO. What We Offer Competitive Salary + Significant Equity: We want you to have a real stake in the company’s success. Career Growth: Help build the US legal function for a generational AI company. Perks: Private medical insurance and free meals. Intellectual Challenge: Work on the most interesting legal questions in technology today. Ready to revolutionize the legal landscape? Apply now. Compensation Range: $150K - $220K

Job Description At Solve Intelligence, we’re building something people actually want - and we have the revenue and traction to prove it. ️ The Role: Full-Stack Account Executive Less than 24 months since launch, we are adding 7 figures of ARR per month. We’ve built a world-class team of AI PhDs, engineers, and patent attorneys. Now, we need a high-energy, ambitious GTM powerhouse to help us scale to $1B+ ARR. What you’ll own: Build the GTM Motion: You aren't just following a playbook; you’re writing it. You'll architect our sales and growth strategy from the ground up. Lead Generation & Networking: Smash outbound targets, leverage your network, and represent Solve at global IP conferences to book demos and win over key decision-makers. Product Demos: Show the world the future of IP. You’ll teach leaders how to leverage AI to transform their workflows. Closing Deals: Full-cycle ownership from lead to close, working with our Technical IP team to ensure seamless onboarding. Product Influence: Act as the bridge between the market and our AI researchers. Your feedback will directly shape the product roadmap. About Solve Intelligence We are the fastest-growing startup transforming Intellectual Property. Our AI-powered platform handles invention harvesting, patent generation, and portfolio management. Growth: 20-30% MoM revenue growth. Market: 600+ IP teams globally, including Tier-1 firms like DLA Piper and major tech enterprises. Impact: Users report 50-90% efficiency gains. Backing: Recently featured in Sifted following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Y Combinator, 20VC, Visionaries and others. Who You’ll Work With You’ll be joining a founding team with deep pedigree: Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired). Chris (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute. Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard). Who You Are We are a high-performance culture. To thrive here: You move fast: You prioritize speed and aim to close deals in days, not months. You are a "grinder": You have a relentless work ethic and take extreme ownership of outcomes. You are an optimist: You thrive in a positive, high-stakes environment and are eager to learn. You believe in AI: You understand we are at the start of an exponential curve and want to drive mass adoption. ️ What You Bring Must-Haves: Proven track record as a top-performing AE in a high-growth SaaS environment. Exceptionally clear written and verbal communication. A metrics-driven mindset and a willingness to "grind" alongside the founders. Preferred & Nice-to-Haves: STEM Degree: (Maths, CS, Physics, Engineering, etc.). Legal/IP Background: Experience in patent prosecution or a qualified USPTO/EPO patent attorney/agent. Technical Sales: Experience selling complex products to mid-market or enterprise firms. Entrepreneurial Spark: Side hustles, early-stage experience, or a history of building things. What’s In It For You? Compensation: Competitive base + unlimited commission upside. Equity: Meaningful ownership in a high-growth startup. Support: Full visa sponsorship and private medical insurance. Perks: Free meals and the chance to work with the smartest minds in AI. Ready to build the future of IP? Apply now. Compensation Range: $100K - $200K

Job Description We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. About the Team: Jobs change lives - ask any one of our millions of job seekers we serve and you'll no doubt get a similar answer. At ZipRecruiter, our products help connect job seekers with employers, eager to add talent to their company. Our team works on applications at scale, serving millions of job seekers. We're building an innovative marketplace for both jobs and job seekers alike. As part of this effort, we're hiring an Engineering Manager to lead our Machine Learning Engineering team. Our business is complex and we're looking for engineering managers who can own entire (or even multiple) product lines, drive business value while investing in their team's/tech stack's health, and coach engineers to build a strong culture of excellence, ownership, and personal and professional growth. About the Job: • Own the mission, execution, morale, and code quality of your team, • Partner effectively with product managers to maintain and execute against the product roadmap, • Serve as a force multiplier for your team by removing roadblocks, identifying and implementing process improvements, and delegating effectively, • Actively build community and culture throughout the engineering organization, • Continually develop, coach, motivate, and improve your team, leading by example, • Champion and evolve innovation at ZipRecruiter and evangelize BIG ideas Minimum Qualifications: • 6+ years of experience in a fast-paced software development environment at scale, • 2+ years of experience as a software engineering leader, • Experience applying, developing, and deploying ML models for significant business impact Preferred Qualifications: • BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field, • 3+ years of applied AI, ML systems, leading MLE teams, • Expertise with recommender systems, personalization, search, ranking, and/or matching, • Demonstrated experience innovating novel approaches and solutions to ambiguous problems As part of our team you'll enjoy: • Competitive compensation, • Exceptional benefits package, • Flexible Vacation & Paid Time Off, • Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is $190,000-$240,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice

Job DescriptionAbout Synaptrix: Synaptrix is building non-invasive brain-computer interfaces by treating neural decoding as a fundamental machine learning problem. The brain produces extraordinarily high-dimensional, noisy, non-stationary signals generated by an underlying dynamical system that we can only partially observe. We are developing new models, datasets, and hardware to learn these dynamics and translate them into real-time control of computers, communication systems, mobility devices, and eventually a much broader class of machines. We are looking for exceptional researchers across machine learning, artificial intelligence, applied mathematics, physics, dynamical systems, computational neuroscience, and related fields. Prior experience in neuroscience or brain-computer interfaces is not required. We care much more about exceptional research ability, mathematical depth, and the ability to develop new approaches to difficult modeling problems. What You'll Work On • Develop new machine learning methods for modeling high-dimensional neural and behavioral data, spanning representation learning, generative modeling, sequence modeling, latent-variable models, and learned dynamical systems., • Learn latent structure and dynamics from noisy, non-stationary, partially observed time-series data., • Develop approaches to neural decoding that generalize across people, sessions, tasks, and recording conditions., • Explore problems at the intersection of deep learning, dynamical systems, system identification, control, information theory, optimization, and statistical learning., • Investigate self-supervised and unsupervised learning methods that can take advantage of large quantities of neural data without requiring dense behavioral labels., • Design rigorous experiments to understand model scaling, generalization, representation quality, and the limits of non-invasive neural decoding., • Build simulations and generative models for studying neural signals and testing hypotheses about learned representations and decoding algorithms., • Work closely with researchers collecting large-scale neural datasets and engineers building the sensing hardware that generates them., • Translate promising research into real-time systems controlling computers, communication interfaces, wheelchairs, prosthetics, and other machines., • Build rigorous, reproducible implementations of research ideas and scale successful approaches to large datasets and compute., • Contribute original research that advances both Synaptrix's systems and the broader scientific understanding of neural decoding.Minimum Qualifications, • PhD or equivalent demonstrated research ability in machine learning, computer science, applied mathematics, physics, statistics, computational neuroscience, electrical engineering, or a related technical field., • Evidence of exceptional ability to conduct original research., • Strong mathematical foundations in areas such as linear algebra, probability, optimization, statistics, information theory, or dynamical systems., • Strong programming ability and experience implementing and evaluating machine learning models in PyTorch, JAX, or equivalent frameworks., • Experience working with high-dimensional, sequential, scientific, sensory, or otherwise complex datasets., • Ability to take an ambiguous research problem from first principles through formulation, experimentation, analysis, and implementation., • Ability to operate independently, question existing assumptions, and pursue technically ambitious ideas.Particularly Interesting Backgrounds You may be an especially strong fit if your work has involved one or more of: • Representation learning and self-supervised learning, • Foundation models, • Generative modeling, • Time-series or sequence modeling, • Latent-variable and state-space models, • Dynamical systems and system identification, • Scientific machine learning, • Inverse problems, • Reinforcement learning and optimal control, • Information theory, • Statistical physics, • Computational neuroscience, • Neural signal processing, • Multimodal learning, • Large-scale distributed model training None of these backgrounds is individually required. We are interested in exceptional researchers with unusual technical depth, including people whose previous work has had nothing to do with neuroscience. Research Culture We are a small research-driven team working on problems where there is no established playbook. We value first-principles thinking, mathematical and experimental rigor, intellectual honesty, speed, and researchers who are willing to question assumptions about what should be possible with non-invasive neural signals. We care more about important results than credentials, titles, or adherence to a particular modeling paradigm. Our goal is to make non-invasive brain-computer interfaces capable enough to restore communication and mobility to people with severe disabilities, and ultimately to create a general interface between the human brain and machines. What We Offer • Competitive salary and meaningful & generous equity ownership, • Comprehensive health benefits, • Paid holidays and unlimited PTO, • Work on ambitious, high-impact problems alongside exceptional researchers and engineers across multiple disciplines, • High ownership and rapid career growth for team members who deliver outsized impact

Job Description Turn Research Into Real-World Impact. At Trexquant, we believe exceptional research belongs in the real world. We're a systematic hedge fund that applies cutting-edge machine learning, statistics, and large-scale data analysis to global financial markets. Every day, our researchers tackle complex, open-ended problems using massive datasets, novel algorithms, and scientific experimentation - with the opportunity to see their ideas deployed in live markets. Whether your background is in computer science, physics, mathematics, engineering, economics, statistics, or another STEM discipline, you'll find an environment where intellectual curiosity, rigorous research, and innovation are at the center of everything we do. No prior finance experience is required- we're looking for exceptional researchers and problem solvers. Responsibilities: As a Quantitative Researcher, you'll help develop the next generation of machine learning models that identify predictive patterns in global financial markets. Your work may include: • Designing and implementing state-of-the-art machine learning models for large-scale prediction problems, • Working with massive structured and alternative datasets to uncover meaningful signals, • Developing novel statistical methods and predictive features, • Reading, evaluating, and extending cutting-edge academic research, • Designing experiments, testing hypotheses, and validating ideas through simulation, • Collaborating with experienced researchers across disciplines to transform research into production-ready strategies, • Your research has a direct impact - from idea generation to live trading Find the Team That Fits Your Strengths Rather than hiring into a single narrow role, we match researchers to the team where they can have the greatest impact. Alpha Research Discover predictive signals by developing new features, exploring diverse datasets, and building machine learning models that forecast market behavior. Data Science Identify, acquire, engineer, and analyze large and unconventional datasets while partnering closely with researchers to unlock new predictive insights. Strategy Research Develop systematic trading strategies using modern statistical and machine learning techniques, validating ideas against real market data through rigorous experimentation. Throughout the interview process, we'll learn about your research interests, technical strengths, and career goals to determine the team that's the best fit for you. Requirements • PhD in Computer Science, Physics, Mathematics, Statistics, Engineering, Economics, or another STEM discipline, • Strong interest in machine learning, statistics, or artificial intelligence, • Excellent programming skills in Python, • Outstanding analytical and problem-solving abilities, • Ability to work independently while collaborating effectively with multidisciplinary teams, • Curiosity, creativity, and a passion for solving difficult problems What Makes Trexquant Different • Work on intellectually challenging, open-ended research problems, • Apply cutting-edge machine learning to real-world systems with measurable impact, • Collaborate with accomplished researchers from diverse scientific disciplines, • Access large-scale datasets and significant computational resources, • See successful ideas transition from research into production, • Join a culture that values curiosity, experimentation, and scientific rigor Benefits • Competitive salary plus bonus bonus based on individual and company performance, • Collaborative, Casual, and friendly work environment, • PPO Health, dental and vision insurance premiums fully covered for you and your dependents, • Pre-tax commuter benefits, • Weekly company meals Applications are open for both Stamford and New York City offices. The base salary for this role is $150,000 to $200,000, and will be determined based on the candidate’s educational background and professional experience. Base salary is one component of Trexquant’s total compensation package, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer

Job Description We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. About the Team: Jobs change lives - ask any one of our millions of job seekers we serve and you'll no doubt get a similar answer. At ZipRecruiter, our products help connect job seekers with employers, eager to add talent to their company. Our team works on applications at scale, serving millions of job seekers. We're building an innovative marketplace for both jobs and job seekers alike. As part of this effort, we're adding software engineering leaders to our team. Our business is complex and we're looking for engineering managers who can own entire (or even multiple) product lines, drive business value while investing in their team's/tech stack's health, and coach engineers to build a strong culture of excellence, ownership, and personal and professional growth. About the Job: • Own the mission, execution, morale, and code quality of your team, • Partner effectively with product managers to maintain and execute against the product roadmap, • Serve as a force multiplier for your team by removing roadblocks, identifying and implementing process improvements, and delegating effectively, • Actively build community and culture throughout the engineering organization, • Continually develop, coach, motivate, and improve your team, leading by example, • Champion and evolve innovation at ZipRecruiter and evangelize BIG ideas Minimum Qualifications: • 6+ years of experience in a fast-paced software development environment at scale, • 2+ years of experience as a software engineering leader, • Experience developing high traffic full stack web or data applications Preferred Qualifications: • BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field, • 3+ years of engineering management experience, • Demonstrated experience innovating novel approaches and solutions to ambiguous problems As part of our team you'll enjoy: • Competitive compensation, • Exceptional benefits package, • Flexible Vacation & Paid Time Off, • Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is $140,000-$227,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice

Job Description At Solve Intelligence, we're building the AI-powered infrastructure for the global Intellectual Property landscape. We need a rare hybrid - a Legal and Product Engineer who sits at the exact intersection of patent law and AI innovation to ensure our engine is technically superior and legally airtight. Japan is quickly becoming one of our most exciting markets. We're seeing strong inbound interest and real traction with Japanese IP teams, and we're looking for a Japanese-speaking practitioner to lead those conversations from the front. Location: London or New York (hybrid), with regular travel to Japan ️ The Role: Legal and Product Engineer (Japanese Speaking) This isn't your typical client-facing role or traditional R&D position. You are the bridge between the complex nuances of patent practice and the cutting-edge AI technology transforming it. You will translate the "language of law" into the "logic of code." And for our Japanese clients, you'll translate it into Japanese too. What you'll own: AI Output Engineering: Partner with our AI team to iterate on algorithms and prompt engineering, specializing our LLMs for patent-specific tasks like claim analysis, prior art comparison, and obviousness assessments. Legal Benchmarking: Build proprietary datasets and evaluation frameworks to measure AI performance against real-world USPTO and international patent office requirements. Product Roadmap: Serve as the internal voice of the practitioner. You'll translate deep client insights from global firms into high-priority product features. Strategic Partnership: Act as a technical thought partner for IP teams at firms like DLA Piper, leading pilots and ensuring our AI scales seamlessly across their prosecution and litigation workflows. Playbook Development: Document and scale best practices for AI adoption across diverse sectors, from biotech to deep-tech software. Japan Market Lead: Be the technical voice of Solve for Japanese law firms and corporate IP departments. You'll run in-depth product demos and technical discussions in Japanese, support our team at conferences and client meetings in Japan, and lead pilots with Japanese clients. JPO Readiness: Make sure our AI handles Japanese-language patent documents and JPO practice as well as it handles the USPTO and EPO, and build the benchmarks that prove it. About Solve Intelligence We're the fastest-growing startup transforming the IP industry. Traction: 20-30% MoM revenue growth; selling to 600+ global IP teams (DLA Piper, tech boutiques, and global enterprises). Proven Value: Users report 50-90% efficiency gains using our AI platform. Backing: Recently featured in Sifted following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Y Combinator, 20VC, Visionaries and others. Global Momentum: Growing demand from Japan, with a live pipeline of Japanese IP teams ready for deeper technical conversations. Your Team You'll work directly with a founding team of AI PhDs and systems experts: Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired). Chris (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute. Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard). Who You Are We are a high-performance culture of "hackers" and builders. Bilingual: You can speak "Patent" to an attorney and "Prompt" to an engineer without losing anything in translation. In this role you're also bilingual in the literal sense, and you're comfortable with both Japanese and English. Speed & Feedback: You want to put tools in users' hands in days, not months, and you thrive on rapid iteration. Extreme Ownership: You take responsibility for the accuracy of our AI's legal reasoning and the success of our global client deployments. Driven & Humble: You are a high-achiever willing to go the extra mile to tackle unsolved AI problems in the patent space. ️ What You Bring Must-Haves: Qualified Professional: Admitted to practice before the USPTO, EPO or JPO. 3+ Years Experience: Direct experience in patent prosecution, understanding the "pain points" of the industry first-hand. Technical Foundation: Undergraduate degree in Engineering, Computer Science, or Life Sciences. Japanese Language: Native or business-level fluency in Japanese (JLPT N1 or equivalent). You can run a detailed technical and legal conversation in Japanese with a senior IP team. Travel: Based in London or New York and happy to travel to Japan regularly for conferences, pilots and client meetings. Preferred & Nice-to-Haves: AI Tinkerer: Hands-on experience with prompt engineering and LLM tools. Client-Facing Pro: Proven ability to manage relationships and lead strategic product demos. Visionary: A deep belief that AI will fundamentally redefine the legal landscape. Japanese Network: Existing relationships with Japanese law firms or corporate IP departments. What We Offer Competitive Salary + Significant Equity: We want you to have true ownership in the success of the company. Founding Impact: You will be the architect of how AI is applied to patent law globally. That includes shaping how we build out Japan, one of our most important growth markets. Support: Full visa sponsorship and private medical insurance. The Environment: Free meals and a seat at the table with an incredibly smart, ambitious team. Compensation Range: $100K - $220K

Job DescriptionAbout Dyania Health Dyania was born with the mission to find clinically critical and relevant insights buried within electronic medical records and release these insights to inform and drive clinical care and clinical research. Our vision is to make sure every patient gets the right care at the right time based in medical decisions precisely informed by their own data. Each patient’s medical record would take a provider nearly 2 hours to read once, let alone read again and again for all the updates cumulated over time. It would be humanly infeasible to achieve even if there was an army of available human clinicians with time that they could spare. Moreover, if so much of medicine is undiscovered, how is an AI model meant to reason appropriately if humans do not know or agree on the right answer? What does high performing reasoning mean in a world of discord and vagueness? Synapsis AI is the answer. At Dyania Health, we built Synapsis AI over years of AI research, clinicians annotating data and real world tests to acutely understand and overcome every challenge at the point of care. The reason why we became obsessed with solving this problem has its roots in the very core of what is an innately human problem. The Role We are seeking a Staff or Senior Staff Research Scientist to lead the design, development, and implementation of advanced AI/ML and LLM-based models for clinical data understanding. This is a senior, hands-on research role. You will build and customize models, design architectures, and drive ML innovation from concept through production. This is not a data science or analytics role—we are looking for someone who deeply understands how models work internally and can independently solve complex, open-ended problems. Leveling is based on experience: • Staff Research Scientist: 7+ years of relevant experience, • Senior Staff Research Scientist: 10+ years, including technical leadership responsibilities What We’re Looking For • A senior researcher who builds models, not dashboards, • A hands-on technologist who understands model architecture, training, and optimization, • Someone who can define strategy, lead initiatives, and still write production-quality code, • A strong independent problem solver comfortable with ambiguity and research-driven development, • A technical leader who can mentor others while delivering individually Key ResponsibilitiesResearch, Development & Implementation • Design, build, train, and deploy AI/ML and LLM-based models, • Own the full model lifecycle: problem definition, research, prototyping, training, evaluation, and deployment, • Apply strong understanding of ML and AI fundamentals to real-world biomedical problems, • Develop and optimize models using Python and modern ML frameworks, • Research emerging techniques and propose innovative solutions aligned with product and business needsProblem Solving & Strategy, • Independently analyze complex, ambiguous problems and determine appropriate modeling approaches, • Evaluate and recommend technical solutions and system architectures, • Translate research concepts into scalable, production-ready systems, • Contribute to long-term ML and AI strategy and technical visionLeadership, • Lead cross-project research and development initiatives, • Provide technical mentorship and guidance to junior researchers and engineers, • Establish best practices for experimentation, model development, and deployment, • Influence technical roadmaps and architectural decisions Requirements Required Qualifications • 7+ years (Staff) or 10+ years (Senior Staff) of experience in AI/ML research or ML engineering, • Graduate degree in Computer Science, Engineering, or a related technical field, • Strong hands-on experience building, training, and deploying ML and AI models, including LLMs, • Deep understanding of model fundamentals and architecture design, • Proven ability to solve problems end-to-end, from research through implementation, • Advanced proficiency in Python for model development and training, • Experience customizing models rather than relying solely on pre-built solutions, • Ability to independently research, evaluate, and propose technical approaches Preferred Qualifications • Publication record in top-tier AI, NLP, or ML conferences, • Experience working with EMR or other complex clinical datasets, • Experience with multi-modal AI systems, • Prior senior or lead-level technical experience, • Familiarity with regulatory considerations for clinical AI systems, • Experience contributing to long-term technical strategy or system architecture, • PhD is welcome but not required Team Culture: • We lead with empathy for patients and our teammates, • We value small egos, self-awareness, and humility in our teammates, • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift, • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team, • We value open dialogue and brainstorming across multidisciplinary teams Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Benefits • Competitive Salary, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Remote work

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: STEM PhDs and Technical Domain Experts Type: Contract Compensation: $55–$80/hour Location: Remote Role Responsibilities • Contribute subject matter expertise to a project involving state-of-the-art large language models., • Create high-quality data by developing challenging problems in your domain., • Evaluate and improve AI model performance with a focus on accuracy and innovation., • Collaborate with AI research teams to enhance training data quality., • Work independently and asynchronously to meet project deadlines. Qualifications Must-Have • PhD or advanced degree in Medicine, Statistics and Data Science, AI/ML Research, Computer Science, Game Development, or Mechanical/Aerospace Engineering., • High attention to detail., • Exceptional written and verbal communication skills. Interview Process • Complete a short interview and task (20–30 mins)., • Paid onboarding time for up to 1 hour, including videos. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors. In this role, you'll combine deep cloud expertise, technical breadth, and a passion for great didactic experiences to build the next generation of cloud education at DataCamp. About the role This is an individual contributor role. You will collaborate with subject matter experts and leverage in-house-built cutting-edge AI tooling to scale high-quality course creation across cloud platforms (AWS, Azure, GCP) and cloud-adjacent topics such as DevOps, infrastructure-as-code, MLOps, and cloud data engineering. Here's what your day-to-day will look like: • Manage the entire content development lifecycle and deadlines., • Source and recruit top-tier subject-matter experts as instructors., • Collaborate with instructors to create engaging content., • Consistently leverage AI tools like Claude Code, Cursor, and more to drive high-quality content production at scale., • Design, review, and create content on Cloud platforms, cloud architecture, DevOps, cloud data engineering, and related topics. You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective., • Continuously assess course performance using learner feedback and engagement data to drive improvements., • Identify and prioritize existing curriculum gaps or new topics in DataCamp's cloud curriculum. We're excited about you because you have the following • A solid hands-on background working with one or more major cloud platforms (AWS, Azure, or GCP). Relevant cloud certifications (e.g. AWS Solutions Architect, Google Professional Cloud Architect, Azure Administrator) are a strong plus., • Broad cloud fluency spanning infrastructure, storage, compute, networking, and managed services, with additional depth in at least one area such as cloud data engineering, MLOps, serverless, or DevOps/IaC., • A solid technical background in Python and/or SQL, with comfort working in cloud-native tooling and CLI environments., • Intuitive understanding of instructional design, with proven ability to structure and teach technical concepts clearly., • Graduate degree (Master's or PhD) in Computer Science, Cloud Computing, Software Engineering, or a related STEM field—or equivalent industry experience., • Strong experience with agentic coding systems such as Claude Code, Cursor, and Replit. You consider yourself a sophisticated user of these tools. Bonus if you have the following • A deep understanding of the DataCamp course format—you have an intuitive understanding of what makes a great DataCamp course., • An existing network of potential subject matter experts who can become DataCamp instructors., • An extensive track record of building sophisticated AI systems and workflows. If you don't meet all the requirements but are excited about the role and believe your background makes you a strong fit, we encourage you to apply.

Job Description COMPANY: Canoe Intelligence WEBSITE: https://canoeintelligence.com/ TITLE: Sr. Machine Learning Engineer LOCATION: New York City or London (hybrid) / Fully Remote in the United States or United Kingdom SALARY: $180,000 - $220,000 (based on NYC, will be adjusted for geo) The Role: We are looking for a Senior Machine Learning Engineer to design and deploy models that make sense of highly complex, unstructured financial documents, enabling us to deliver data with unprecedented accuracy, speed, and trust. You’ll work hands-on with LLM and other ML Models, helping scale Canoe’s platform while shaping how alternative investment firms interact with their data. What You’ll Do: Design, train, and evaluate ML models for document classification, entity extraction, summarization, and information retrieval. Fine-tune and optimize large language models for domain specific use cases, optimizing their performance for accuracy, efficiency, and scalability. Work closely with data engineering teams to preprocess and engineer features from large datasets to enhance the performance of machine learning models. Build scalable, production-ready ML services with strong observability, monitoring, and retraining capabilities. Contribute to Canoe’s MLOps stack, including CI/CD for models, feature stores, evaluation frameworks, and data versioning. Collaborate with product managers, software engineers, and other stakeholders to integrate machine learning models into end-to-end solutions. Stay current with advancements in LLMs, Agentic AI, and ML, and translate new research into practical improvements to Canoe’s technology stack. Conduct code reviews to ensure code quality and provide mentorship to junior members of the machine learning team. What We’re Looking For: Minimum of 5 years of experience in applied ML engineering, with a focus on NLP, information extraction, or LLMs. Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch). Strong understanding of MLOps (Docker, Kubernetes, CI/CD for ML, experiment tracking). Proficiency with AI-assisted development tools (e.g., GitHub Copilot, Claude Code agent) to accelerate software development, prototyping, testing, and deployment of ML solutions. Problem-solver with a product mindset and bias toward outcomes. Excellent communication skills; able to partner across engineering, product, and business teams. Comfortable in fast-paced, agile startup environments. Bachelor’s degree in computer science or related field. Preferred Master Degree or PhD in computer science or related field Experience in training and deploying large language models. Familiarity with cloud computing platforms and distributed computing. Familiarity with modern ML Ops tools such as Modal, Weights and Biases, Sagemaker, etc. Experience with LLM fine-tuning techniques such as LoRA, QLoRA, or parameter-efficient training frameworks (e.g., Unsloth). What You’ll Get: Medical, dental, vision benefits Flexible PTO 401(k) Flexible work from home policy Home office stipend Employee Assistance Program Gym/Wifi reimbursement Education assistance Parental Leave Our Values: Client First —> Listen, and deliver client-centric solutions Be An Owner —> Take initiative, improve situations, drive positive outcomes Excellence —> Always set the highest standard for yourself and others Win Together —> 1 + 1 = 3 Who We Are: Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe’s technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe’s AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm. Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Job Description About Us: Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser. Overview: We are looking for a 2027 Quantitative Research Intern to join our equities team, where you will focus on generating systematic signals across multiple time horizons. This role is ideal for candidates with a strong quantitative foundation and hands-on experience in either high-frequency orderbook research or longer-term signal generation—whether through academic projects, prior internships, or independent research. You will work side-by-side with our senior researchers and traders to explore market data, develop predictive signals, and build models that directly inform real trading decisions. This is an opportunity to gain direct exposure to how quantitative research is applied at a leading proprietary trading firm. Responsibilities: • Analyze market data to uncover patterns, inefficiencies, and predictive signals across different time horizons, • Build and backtest quantitative models using historical market data in a simulation environment, • Apply statistical and machine learning techniques—with an emphasis on tree-based methods—to enhance signal quality, • Collaborate closely with traders and researchers to translate research insights into robust trading strategies, • Contribute to the development and maintenance of data pipelines for large-scale, high-frequency, and time-series market data, • Iterate on research prototypes based on backtest results and team feedback, under the guidance of experienced mentors Requirements: • Currently pursuing a Bachelor's, Master's, or PhD in a quantitative field (Mathematics, Statistics, Computer Science, Physics, Engineering, Financial Engineering, or related), • Expected graduation in 2027 or 2028, • Strong proficiency in Python, including standard data science libraries (pandas, NumPy, etc.), • Genuine curiosity about financial markets and market microstructure, • Solid foundation in statistics and quantitative analysis, • Strong problem-solving skills and intellectual curiosity, • Experience in high-frequency research and/or longer-term signal generation is a plus, • Ability to communicate technical findings clearly to both technical and non-technical audiences, • Self-motivated, with a strong desire to learn and collaborate in a fast-paced team environment DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV's posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

Job DescriptionMachine Learning Engineer Location: Global, Fully Remote Job Type: Contractor (~15 hours per week) Schedule: Flexible — choose your preferred hours and days, including weekends. We are looking for highly skilled Machine Learning Engineers to contribute to an AI training project focused on model development, training and inference systems, numerical computing, performance optimization, and Python-based engineering. This is a highly coding-intensive role. Candidates must have hands-on experience using Python and coding agents as part of their development workflow. What You'll Work On • Develop, implement, and validate machine learning models, training pipelines, and inference systems., • Build model components, data pipelines, evaluation frameworks, and numerical methods., • Create reproducible workflows using Python and command-line tools., • Debug numerical, performance, and system-level issues., • Optimize memory usage, throughput, and overall model performance., • Review and validate machine learning implementations against defined correctness and performance requirements.Required Qualifications, • Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative field., • Strong professional or research experience in machine learning., • Advanced practical proficiency in Python and coding agents., • Experience with one or more of the following:, • PyTorch, • JAX, • NumPy / SciPy, • SGLang, • vLLM, • llama.cpp, • Hugging Face Transformers, • Hugging Face Tokenizers, • Equivalent tools may also be considered where candidates demonstrate relevant technical depth., • Experience at a technology company, AI laboratory, research organization, or recognized engineering environment is preferred., • Strong open-source or academic experience may also qualify.Process, • Apply and complete the screening questions., • Complete an AI interview of approximately 30 minutes., • Complete the hiring manager review.Compensation Compensation is output-based, with payment provided per task that meets project specifications. Task completion time may vary depending on experience and workflow. Minimum submission requirements apply. Start Timeline & Availability We typically fill roles within 48 hours and are seeking experts who can start immediately. Selected candidates should begin their first task within 24–48 hours of completing onboarding.

Job Description CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. What You'll Do: The Object Storage Team at CoreWeave is responsible for the product capabilities and data plane function of CoreWeave's managed storage products. We build reliable, scalable storage solutions with segment leading performance. Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world's most demanding AI workloads. About the role: • Design and Implement distributed storage solutions to support scaling data intensive AI workloads., • Contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments., • Work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency., • Lead efforts to improve the reliability, durability, security, and observability of our storage stack., • Collaborate with operations teams to monitor, troubleshoot, and improve storage systems in production environments., • Set the bar for developing metrics and dashboards to provide visibility into storage performance and health., • Analyze telemetry and system data to drive improvements in throughput, latency, and resilience., • Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack., • Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems.Who You Are:, • Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field., • 8–10+ years of experience working in storage systems engineering or infrastructure., • Strong hands-on experience with object storage or distributed filesystems in production environments., • Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar., • Proficiency in a systems programming language such as Go, C, or Rust., • Proficiency leveraging AI tools to augment software development., • Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana)., • Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. • You love to grow and push the boundaries of your expertise, • You're curious about distributed storage and the demands AI/ML workloads, • You're an expert in data persistence on physical media, high performance data transfer using RDMA, or resilient distributed systems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: ML Research PhD Experts (ICML / NeurIPS / ICLR Publications) Type: Contract Compensation: $110–$145/hour Location: Remote Role Responsibilities • Evaluate the accuracy and depth of AI-generated content to strengthen reasoning and rigor in model outputs., • Review complex machine learning research for alignment with domain principles and methodologies., • Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance., • Develop evaluation rubrics and benchmarks for assessing AI-generated tasks and solutions., • Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets., • Work independently and asynchronously to meet deadlines while improving AI model performance. Qualifications Must-Have • PhD in Machine Learning, Computer Science, AI, or a closely related field., • Published at least one main conference paper at ICML, NeurIPS, or ICLR., • Strong preference for candidates with 2+ publications at these venues., • Demonstrated experience conducting original ML research. Preferred • Expertise in Reinforcement Learning (RL)., • Experience with Meta-Learning., • Knowledge of Recursive Self-Improvement., • Familiarity with AI for Science (e.g., weather forecasting, protein modeling, scientific discovery). Start Date • Urgent; initial data/results expected Monday / Tuesday 27th July. Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job DescriptionRole Title: Research Scientist – Computer Science & Computational Physics Role Type: Contractor (Part-Time or Full-Time) Location: Remote Schedule: Flexible We are seeking Research Scientists in Computer Science or Computational Physics to support an advanced AI research project. You'll use frontier AI models and computational tools to investigate open problems, develop algorithms, validate results, and evaluate scientific discoveries. No prior AI experience is required. Key Responsibilities • Identify open problems, theoretical bounds, and research challenges suitable for rigorous investigation., • Use AI models and agents to explore proofs, develop algorithms, and conduct computational simulations., • Verify research outputs through proof checking, numerical reproduction, and formal tools., • Evaluate findings for novelty and correctness against recent scientific literature., • Document research methods, partial results, and challenges in clear reports., • Identify promising discoveries and research directions for further exploration.Required Qualifications, • Late-stage PhD, postdoctoral, or early-career academic experience (0–5 years post-PhD) in computer science or mathematical/computational physics., • Strong research record, including recent publications in leading conferences or journals., • Expertise in computational methods such as simulation, numerical analysis, and algorithm implementation., • Ability to assess research findings rigorously and compare them with existing literature.Preferred Qualifications, • Research recognition, such as best paper or dissertation awards at leading venues like STOC, FOCS, SODA, PLDI, or SC., • Experience reviewing or sub-reviewing for prominent conferences., • Familiarity with frontier AI models, research agents, and formal tools such as Lean or SAT/SMT solvers., • A publicly available research statement or homepage outlining open problems under investigation.

Job Description About CookUnity: Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. The role: We're looking for a Director, Data Science/ML who will drive CookUnity's next phase of product innovation through forward-looking data science capabilities. This role goes beyond traditional analytics—you'll be responsible for building the ML and experimentation foundation that enables personalized, intelligent product experiences at scale. You'll own the strategic vision for how data science shapes our product roadmap. You'll build and lead a team focused on predictive modeling, personalization, experimentation frameworks, and emerging ML capabilities that directly impact customer engagement, retention, and lifetime value. This is a high-impact role for someone who thinks strategically about the future of product science while remaining hands-on in driving technical execution. Responsibilities:Strategic Vision & Product Partnership • Define and execute the product data science strategy, identifying opportunities where ML and predictive analytics can unlock step-change improvements in customer experience and business outcomes, • Partner closely with Product, Growth, Engineering, and UX leadership to influence product roadmap with data-driven insights and forward-looking ML capabilities, • Act as a thought leader on emerging data science techniques (personalization, recommendation systems, causal inference, generative AI) and their application to product problems, • Translate complex product challenges into clear data science problems with measurable success criteria, • Own the end-to-end ML lifecycle for product use cases: problem framing, feature development, model training, deployment, monitoring, and iteration, • Partner with the Growth Data Science & Analytics team to align experimentation, measurement, and modeling efforts into a cohesive end-to-end data science ecosystem.Team Leadership & Development, • Build, mentor, and scale a high-performing product data science team capable of delivering both strategic insights and production ML systems, • Foster a culture of innovation, experimentation, and continuous learning within the data science organization, • Create career development pathways that attract and retain top data science talent, • Collaborate with Analytics Engineering to ensure seamless model deployment and monitoringAdvanced Analytics & ML Capabilities, • Own and evolve personalization and recommendation systems that drive engagement and conversion across the customer journey, • Design and implement robust experimentation frameworks that enable rapid, high-quality product testing and learning, • Develop causal inference methodologies to understand true incrementality of product changes., • Ensure models are observable, explainable where needed, and continuously improved post-launchProduct Measurement & Impact, • Define product success metrics and measurement frameworks that align with business objectives, • Build scalable dashboards and monitoring systems that provide real-time visibility into product performance, • Conduct deep-dive analyses on user behavior patterns to uncover opportunities for product optimizationQualifications:, • 10+ years of experience in data science, with at least 5 years in leadership roles managing data scientists or ML engineers, • Proven track record building and deploying ML models in production, particularly in personalization, recommendation systems, or predictive modeling, • Deep expertise in experimentation and causal inference, including A/B testing, incrementality measurement, and statistical rigor, • Strong product sense and business acumen—ability to identify high-impact opportunities and translate them into data science initiatives, • Experience in consumer tech, e-commerce, or marketplace businesses where personalization and user engagement are critical, • Excellent communication skills—ability to explain complex technical concepts to non-technical stakeholders and influence product strategy, • Hands-on technical proficiency in Python, SQL, and modern ML frameworks (scikit-learn, PyTorch, TensorFlow), • Experience with cloud-based data infrastructure (AWS, GCP, Snowflake) and ML Ops tools (MLflow, Airflow, Kubeflow)Preferred requirements:, • PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field, • Experience with real-time ML systems and feature stores, • Background in recommendation systems or two-tower/multi-modal embeddings, • Familiarity with generative AI and LLM applications in product contexts, • Experience building data science teams from scratch or through periods of rapid growth, • Prior work in subscription businesses or retention-focused products, • Knowledge of modern product analytics tools (Amplitude, MixPanel, Looker)What Success Looks Like, • 6 months: Established product data science roadmap aligned with business priorities; shipped at least one high-impact ML model to production; built strong partnerships with Product and Engineering leadership, • 12 months: Scaled the product data science function with key hires; delivered measurable improvements in personalization and customer engagement metrics; implemented robust experimentation frameworks used across product teamsLearn More About CookUnity We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we're looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale. We hope this provides valuable insight into our culture and product vision. If this excites you, we'd love to connect! Benefits ???? Health Insurance coverage ???? 401k Plan ???? We grow, you grow: Stock Options Plan granted on Day 1 ???? Eligible for a bi-annual performance bonus ⛱ Unlimited PTO ????️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical ???? Paid Family leave ???? Compassionate Leave: 3-5 days each time the need arises ???? A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly ????????️‍♀️ Wellness perks: access to fitness subsidies to build a healthy lifestyle ???? AI-forward workplace: enterprise access to ChatGPT and Claude to help you work smarter and grow faster. ????????️‍???? Personalized Spanish coach ???? Awesome opportunity to join a company that is looking to change how we eat and how chefs work! CompensationAll final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data. Pay Range for this position $240,000—$270,000 USD If you're interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability. A quick note for all candidates We've recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously — sometimes, as part of our process, we may ask for a brief "proof of humanity" to confirm that we're connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us: • Apply only through our official channels. All open roles are listed on our official careers page: careers.cookunity.com, • Our recruiters are real people — and easy to verify. You can always find them on LinkedIn with verified profiles. If you're unsure, feel free to reach out to us on our official LinkedIn Company Page., • We only communicate through official CookUnity channels. That means emails ending in @cookunity.com and interviews held through official company platforms (Google Meet or Zoom) — never WhatsApp, Telegram, or SMS., • We'll never ask for payment or personal financial details. If anyone does, please don't share any information and let us know right away. If something ever feels off or you're unsure about a message, we'd much rather you double-check with us. You can always contact us directly through any of our social media channels. We appreciate your interest in joining CookUnity — and we care about keeping your experience (and safety) as genuine as possible.

Job Description Are you a patent attorney or agent who spent time as a USPTO examiner and knows firsthand what happens on the other side of the desk? Do you want to help build the product that changes how the patent office itself works, not just the firms filing into it? Do you want real ownership over a brand new frontier at a fast-growing company, instead of another year of incremental work at a firm? This is your chance to join a rocket ship! ️ About the role We are looking for a Legal & Product Engineer with USPTO examiner experience to help us build for the patent office side of the table, as we expand beyond private practice law firms into direct relationships with patent offices themselves. You'll be joining the most lean, talent-dense, and fast-moving legal team in New York. You'll be responsible for: Bringing firsthand USPTO examiner experience into product discussions, shaping how Solve builds for the examiner side of the patent process Supporting Solve's push into working directly with global patent offices, including the USPTO and EPO, by lending credibility and hands on domain expertise Helping onboard and support examiner users as Solve's examiner-facing product and contracts come online Partnering closely with Solve's existing patent attorneys to ramp quickly on Solve's workflows and tooling About you As a Legal & Product Engineer, you will have extensive experience navigating patent prosecution from both sides of the process, through work as a USPTO examiner and time in private practice. Registered US patent attorney or patent agent, with a technical degree in a field like computer science or electrical engineering Former USPTO patent examiner, having examined applications for at least 1 to 2 years Currently working in private practice or in-house, not a currently active examiner and not someone who has returned to government work 3 to 5+ years of total experience across USPTO examining and private practice combined Comfortable and confident in customer-facing settings, from customer calls to product demos Self-directed with a startup mindset, ready to move faster and take more ownership than typical government or firm work allows Nice to have: Examining background in software, AI, or electrical art units Comfort using AI tools as part of daily workflow Drafting or prosecution experience in software or AI-adjacent technologies Time at a well-regarded firm What we offer Competitive base salary depending on skill and experience. Significant equity - we want you to take ownership in Solve Intelligence and share in the success that lies ahead. Full visa sponsorship. Opportunity to work with a super smart and ambitious group of people building something people want. Private medical insurance. Free meals. About Solve Intelligence Solve Intelligence is the fastest-growing startup transforming the IP landscape. Solve's AI platform manages everything from invention harvesting and patent generation through to litigation and licensing. Growth: ~20–30% MoM revenue growth; selling to 700+ global IP teams across 6 continents (DLA Piper, tech giants, boutiques, etc); 8 figures of ARR — all just ~3 years since we started. Backing: $55M backing from YC, 20VC, Microsoft, Thomson Reuters, and the founders of top companies like Stripe, Perplexity, Tinder, Deel, Hugging Face, and Canva. Impact: 50–90% efficiency and quality improvements. See our latest Series B announcement. We're on a high-growth trajectory, and we're looking for people who want to join us on the journey to building a generational AI company. Meet the founders You’ll work directly with a founding team of AI PhDs and systems experts: Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired). Chris (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute. Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard). Compensation Range: $100K - $220K

Job Description CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. About the Role As a Staff Software Engineer within our Compute Architecture organization, you will help build the software systems that operate the backbone of our large-scale GPU data centers. The METALDEV team builds Go-based distributed services that bring new infrastructure online, manage hardware lifecycle workflows, monitor production health, and automate safe operations across fleets of GPU servers and rack-scale systems. This is a software-first role at the intersection of distributed systems, production reliability, and hardware-aware automation, where your work directly improves the reliability, safety, and scalability of real-world infrastructure.\ What You'll Do • Design, build, and operate Go-based services that manage the lifecycle of large-scale GPU data center infrastructure., • Build automation for data center bring-up, hardware discovery, health monitoring, remediation, and production operations., • Develop reliable APIs, services, and workflows for managing BMCs, firmware state, server health, and rack-level infrastructure., • Improve observability, alerting, and operational tooling so production issues can be detected, understood, and resolved quickly., • Translate incidents and hardware failure modes into software improvements that make the platform more resilient., • Partner with hardware-adjacent, infrastructure, operations, and software teams to design systems that work safely at fleet scale., • Provide technical leadership through design reviews, code reviews, architectural guidance, and mentorship., • Make pragmatic architecture decisions that balance reliability, simplicity, scalability, and operational burden.Who You Are, • B.S., M.S., or PhD in Computer Science or related field, or equivalent experience., • 8+ years of software engineering experience with a strong focus on infrastructure, cloud engineering, and distributed databases—particularly within large-scale datacenter and cloud environments., • Expertise in Go and proven experience building REST/gRPC APIs for mission-critical platforms., • Strong background in architecting and scaling cloud-native Kubernetes infrastructure and distributed services., • Proven success in mentoring engineers, leading technical projects, and influencing engineering strategy across teams., • Experience contributing to and collaborating with open source communities., • Skilled in applying a data-driven approach to reliability, optimization, and continuous improvement., • Excellent communicator able to work effectively with both technical and non-technical stakeholders., • Hands-on experience with observability stacks (Prometheus, Grafana, PromQL), CI/CD pipelines, and operating large fleets of GPU servers., • Track record of leading incident response, postmortems, and driving robust service reliability. Nice To Have Skills: • Working knowledge of Kafka, ClickHouse and CRDB., • DMTF, RedFish APIs, and GPU servers. The base salary range for this role is $207,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary: Our team has a unique opportunity to work on applications and data at scale, serving millions of jobseekers and tens of thousands of customers. We're working on building an efficient marketplace of jobseekers and employers and need senior data engineers to build fast, scalable, and effective applications, stream and batch data processing, ML infrastructure and a variety of other systems all to help connect people to their next job. We provide an essential service and have a thriving business as a result. Our stack is complex and we're looking for engineers who know how to write evolvable, properly instrumented, and efficient code as part of a growing distributed system. We're working on data driven systems and applications and need people who can build fast services and processes to power all of the intelligence we use to help change people's lives. Responsibilities: • Build data processing and exploration pipelines along with ML infrastructure to power our intelligence, • Deploy a range of cloud-based technologies for critical projects, • Write, test, instrument, and deploy code to our Kubernetes environment, • Help drive the innovation and evolution of ZipRecruiter Minimum Qualifications: • 5+ years of professional software development experience with a focus on Python and big data technologies, • Experience with Spark, Kafka, Hadoop, Hive, and/or other big data technologies, • Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms, • Experience with containerization technologies like Docker and/or Kubernetes Preferred Qualifications: • 8+ years of professional software development experience, with a focus on Python and big data technologies, • BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience, • Experience with data integration tools like Apache Kafka, Flume, and NiFi, • Familiarity with data storage technologies such as Delta Lake, HBase, Cassandra, and MongoDB, • Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data Analytics, and/or Azure Databricks As part of our team you'll enjoy: • Competitive compensation, • Exceptional benefits package, • Flexible Vacation & Paid Time Off, • Employer-matched 401(k) plan The US base salary range for this full-time position is $170,000-$240,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. #LI-Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice

Job Description Job Title: Director of Product – Quantum Sensing Location: Hoboken, NJ Division: Revenue Department: Product About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to operate at room temperature and low power at an affordable cost. The Company’s portfolio of core technology and products offer unique capabilities in the areas of quantum sensing, high-performance computing, artificial intelligence, and cyber security. Position Description As the Director of Product - Quantum Sensing, you will be responsible for expanding our market presence, establishing key relationships, and fostering new opportunities for our cutting-edge quantum sensing solutions. You will collaborate closely with cross-functional teams and play a pivotal role in shaping the future of our quantum sensing solutions by driving market adoption and expansion and helping industries unlock the power of QCi’s photonic technology portfolio. In this role, you will be an ambassador for QCi’s photonics and quantum technologies, influencing both commercial and governmental sectors, educating potential customers on the transformative impact of quantum technology, and managing the end-to-end sales lifecycle. You will actively lead efforts to grow our business in existing and new markets, with a focus on cultivating high-value partnerships and pursuing high-impact opportunities in emerging sectors. Duties and Responsibilities • Lead strategic product vision and business development initiatives, identifying new market segments, partnerships, and commercial and government opportunities to grow the company’s footprint., • Partner with internal technology leaders, Engineering Team, and Directors of Product to plan, negotiate contracts and agreements, and execute deployment of developed technologies and products., • Drive market entry strategies and cultivate relationships with key stakeholders in both commercial and governmental sectors., • Craft and present tailored proposals for prospective customers, focusing on addressing unique regional needs and opportunities., • Qualify and evaluate opportunities based on potential impact, budget, readiness, and timeline, ensuring alignment with the company’s strategic goals., • Collaborate with internal teams (Sales, Engineering, Product, Marketing, Legal, etc.) to ensure the seamless execution of business strategies and drive customer success., • Build and structure high-value deals, fostering long-term relationships and ensuring customer satisfaction., • Monitor industry trends and technological developments, representing the company at conferences, customer meetings, and other industry events., • Expected to design wins that would lead into new product deployment for the company. Required Skills and Experience • Masters degree (PhD Preferred) in Engineering, Science, Computer Science, Mathematics, or a related technical field. People with a bachelors degree with more than 15 years of relevant experience will be considered., • At least 8 years of experience in strategic business development within deep-tech industries, including quantum computing, artificial intelligence, or other emerging technologies., • A strong understanding of LiDAR or quantum sensing principles, either through formal education, or practical experience., • Demonstrated success in developing and executing business development strategies that led to significant design wins and product adoption., • Proven experience in structuring complex contracts and successfully launching new business initiatives., • Exceptional relationship management skills with the ability to collaborate cross-functionally with various departments to drive business outcomes., • Fluency in English, with proficiency in second language being a plus. Preferred Qualifications • PhD or MBA is a plus., • Familiarity with technical pre-sales or solutions engineering, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders., • Prior experience in LiDAR, and quantum sensing is a plus., • Track record of numerous deign wins and expanding into new markets., • Ability to lead and influence cross-functional teams and work in a high-growth, startup environment. Quantum Computing Inc. (QCi) 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, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. Incumbent(s) in this position may be required to perform other duties and special assignments not specifically stated above. Statements outlined in this section are designated as essential job functions in accordance with the Americans with Disabilities Act of 1990.

Job DescriptionSamba is a media intelligence company. We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it’s the most interesting data asset on the planet, because it’s the most culturally relevant. As Senior Ontologist on Samba TV's Knowledge Graph & Identity team, you will own the design, development, and governance of the semantic data models and ontological frameworks that sit at the foundation of Samba's knowledge graph. You are the domain authority for how Samba represents and relates the entities that matter most to our business - and you ensure that representation is rigorous, scalable, and aligned with industry standards. This is a hands-on technical role. You will spend the majority of your time designing ontologies, writing SPARQL, building knowledge graph pipelines, and working closely with data engineering and data science peers to put your models into production. You bring enough breadth in ML and AI to leverage embedding-based and LLM-augmented approaches where they strengthen the graph, and you contribute meaningfully to entity resolution and identity linking work that depends on the semantic layer you define. This role reports to the Data Science Manager, Knowledge Graph & Identity. What You'll Do: Ontology Design & Governance Own the end-to-end design, development, and versioning of Samba TV's core ontologies in RDF/RDFS/OWL - defining entity classes, properties, hierarchies, and constraints that accurately model Samba's data domain at scale Author and maintain SHACL shapes for post-load graph validation, consistency checking, and data quality enforcement Define and document derived-attribute schemas - genre affinity, brand affinity, topic affinity, lifecycle signals, and viewing summaries - and own the logical definitions that govern how raw events become durable graph attributes Establish ontology design standards, change management processes, and versioning practices; evaluate alignment with W3C standards and relevant industry schemas (Schema.org, EIDR, DDEX, W3C PROV) Lead ontology design reviews with product, data engineering, and data science stakeholders - articulating trade-offs between expressivity, scalability, and query performance clearly Event-to-Ontology Derivation Define the aggregation and scoring logic that transforms raw TV viewership and web activity events into the durable affinities, summaries, and inferred signals that live in the graph Co-own derivation pipeline design with data engineering - specifying transformation logic, intermediate schemas, and validation checkpoints for Databricks/Spark pipelines that feed the materialized graph substrate Reason carefully about what belongs in the graph vs. what should remain virtualized in the data lake - balancing query performance against storage and refresh cost Knowledge Graph Development & AI Integration Build and maintain production-quality knowledge graph pipelines in Python and SPARQL - well-tested, documented, and scalable to Samba's data volumes Design and implement entity resolution and record linkage pipelines that map real-world entities (content titles, devices, audiences, advertisers) to canonical knowledge graph nodes Develop enrichment workflows that integrate third-party data sources (metadata providers, identity vendors, web sources) into Samba's knowledge graph in a consistent, governed way Apply embedding-based and LLM-augmented approaches to ontology mapping, entity disambiguation, and semantic similarity problems Support content and semantic embedding pipelines that feed into the vector store and underpin GraphRAG-based AI solutions Cross-functional Collaboration & Mentorship Partner with data engineering and platform teams to ensure the knowledge graph is integrated, queryable, and production-ready at scale Collaborate with product to translate business requirements into ontological and graph data model decisions Formally mentor Ontology Engineers and junior data scientists on semantic modeling, SHACL design patterns, and graph best practices Lead internal technical talks and workshops on ontology, knowledge graph, and semantic web topics Who You Are: Must-Haves 5–8 years of hands-on experience in ontology engineering, semantic data modeling, or knowledge graph development - with a demonstrable track record of production ontologies at scale Deep expertise in W3C semantic web standards: RDF, RDFS, OWL, SPARQL 1.1, and SHACL - with hands-on experience building and validating graph schemas in a production triplestore (Amazon Neptune, Stardog, GraphDB, Jena, or equivalent) Strong Python - production-quality, well-tested code; comfortable building data pipelines and graph processing workflows First-principles understanding of description logics, ontology design patterns, and the practical trade-offs between OWL expressivity and triplestore scalability Hands-on experience with entity resolution, record linkage, or deduplication at scale - mapping messy, multi-source real-world data to clean ontological representations Bachelor's degree required in Computer Science, Information Science, Computational Linguistics, Mathematics, or a related field; Master's or PhD strongly preferred Strong communicator - able to defend ontological modeling decisions in design reviews and explain trade-offs to non-specialist stakeholders Strongly Preferred Hands-on experience with Amazon Neptune or Stardog - including data virtualization (Neptune Orion or Stardog Virtual Graphs) over data lake sources Experience designing aggregation and derivation logic that converts raw behavioral event data into durable, graph-resident derived attributes Domain knowledge in media, entertainment, or ad tech - TV viewership (ACR/STB), digital audience modeling (device graphs, identity resolution), or ad exposure data Familiarity with industry content and identity schemas: EIDR, Schema.org VideoObject, DDEX, or equivalent Experience with embedding models, vector databases (Milvus, Pinecone, Weaviate), and GraphRAG architectures (LangChain/LlamaIndex) Familiarity with GNN-based approaches to knowledge graph reasoning or entity resolution a plus Working knowledge of PySpark and Databricks for large-scale transformation pipelines Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact. Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller. 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 Description Position Purpose Teach lecture and laboratory courses in Computer Science program which includes the topics: Intro to computer science, C++ Object oriented programming, Computer organization, data structures & algorithms, computer architecture, database fundamentals, data science, machine learning, computer networks and other related courses within Computer Science program. Major Responsibilities/Duties/Functions • Teach Computer Science lecture and laboratory courses in topics as described above, • Prepare lecture materials and lab work as described in Vaughn College catalog, • Ability to perform course assessment as required **Qualifications: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Education and/or Experience Requirements • Must have a minimum of a MS degree in Computer Science, Ph.D. candidate preferred Professional Skills • Demonstrate a professional manner in interacting with students and coworkers. Reasoning Ability • Ability to define problems collects data, establish facts and draw conclusions., • Ability to understand and follow directions Work environment and physical functions • This position is located in a classroom/office and virtual environment. Generally, an employee needs to be able to sit, stand, and navigate within the office area. The office equipment either individually used or shared with a department is the responsibility of all employees. Compensation: • The compensation rate for this position is expected to be:, • $900 per lecture hour ($925 per lecture hour if holding a PhD), • $625 per lab hour.

Job Description Crimson Education is the world’s leading college admissions consulting firm, with over 1,490 Ivy League offers and 2,410 to the US Top 15. We help ambitious students gain admission to the world’s top universities through expert-led guidance and proven, data-driven strategies. Crimson students are 7x more likely to get into the Ivy League than their peers. We were recently featured on the front page of the Wall Street Journal. Crimson is the only college admissions consultancy that brings together: Former Ivy League and Top 20 admissions officers to rigorously review and refine applications Professors and PhD teaching fellows from leading universities to guide students through original, independent research — with pathways to selective peer-reviewed publication or conference presentation Past ISEF winners and judges who coach students to compete for state, national, and international science fair awards Capstone project mentors who help students design and scale leadership initiatives with real-world impact, measurable outcomes, and credible external validation We’re backed by leading VC firms, including Tiger Global, Heal Partners, IceHouse Ventures, and Movac, and recently closed a USD $40M Series D funding round at a USD $640M valuation. We now operate across 21 markets worldwide, including the US, Canada, UK, Singapore, Japan, Hong Kong, Australia, and New Zealand. AP Tutor Apply now and join Crimson Education’s mission to revolutionize education and empower students to reach their full academic potential. Become an AP Tutor with Crimson Education - Inspire Students, Shape Futures! Are you passionate about education and eager to make a real impact on students around the world? Crimson Education is a fast-growing global EdTech company, founded in 2013, with the bold mission to transform students into the world’s future leaders. Operating in 28+ countries with a team of 700+ professionals, Crimson connects a global network of 3,000+ tutors and mentors with students aiming to achieve academic excellence and gain admission into the world’s top universities. As we continue to expand, we are looking for talented, driven, and passionate Academic Tutors to join our global team! About Crimson Education Crimson Education is the world’s leading college admissions consultancy, with over 1,320 Ivy League offers and 2,140 to the US Top 15. We help ambitious students gain admission to the world’s top universities through expert-led guidance and proven, data-driven strategies. Crimson students are 7x more likely to get into the Ivy League than their peers. What sets us apart is our unmatched scale and expertise. We have the largest team of Former Admissions Officers and Strategists globally. Every student is matched with a carefully-chosen team of admissions experts who zero in on different parts of their college application, from essays to extracurriculars, ensuring every detail is expertly executed. Role Overview We are seeking AP Tutors across a wide range of subjects. As a Crimson AP Tutor, you will work with highly motivated students from around the world, helping them achieve subject mastery, improve academic performance, and prepare for high-stakes exams. This is a flexible, part-time, hourly, remote contractor position ideal for experienced educators or career tutors with a proven track record of driving outstanding student outcomes. Tutors will work with students globally, providing high-quality academic support in a flexible schedule that can be adapted around existing commitments. Key Responsibilities Deliver engaging, personalized tutoring sessions (1:1 or small group) tailored to each student’s curriculum, level, and goals Assess student needs, strengths, and weaknesses to create effective lesson plans Monitor and track student progress, adjusting strategies as needed Communicate professionally with students, parents, and Crimson’s internal staff to align on expectations and outcomes Maintain professional standards, punctuality, and reliability in all tutoring engagements Stay current with relevant curriculum requirements, exam formats, and teaching methods in your subject area Key Performance Indicators Measurable improvement in student performance relative to internal assessments, mock exams, and official test results A significant proportion of students are achieving top percentile results or exceeding targeted score thresholds Positive feedback ratings from students and parents (measured through post-session surveys and internal reviews) 100% on-time delivery of scheduled sessions with minimal cancellations or reschedules Required Skills & Experience Bachelor's degree or higher from an accredited university Certified teaching credentials or demonstrable professional tutoring experience with a strong record of student success, including an AP score of 5 in the relevant subject(s). Strong command of online teaching platforms and digital learning tools Outstanding communication skills with the ability to explain complex concepts clearly Cultural competency and experience working with international students Minimum availability of 10 hours per week with flexibility across time zones Professional work-from-home setup, including: Reliable high-speed internet connection Computer with a functioning webcam and microphone Quiet, distraction-free environment suitable for professional instruction

Job DescriptionMachine Learning Engineer Location: Global, Fully Remote Job Type: Contractor (~15 hours per week) Schedule: Flexible — choose your preferred hours and days, including weekends. We are looking for highly skilled Machine Learning Engineers to contribute to an AI training project focused on model development, training and inference systems, numerical computing, performance optimization, and Python-based engineering. This is a highly coding-intensive role. Candidates must have hands-on experience using Python and coding agents as part of their development workflow. What You'll Work On • Develop, implement, and validate machine learning models, training pipelines, and inference systems., • Build model components, data pipelines, evaluation frameworks, and numerical methods., • Create reproducible workflows using Python and command-line tools., • Debug numerical, performance, and system-level issues., • Optimize memory usage, throughput, and overall model performance., • Review and validate machine learning implementations against defined correctness and performance requirements.Required Qualifications, • Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative field., • Strong professional or research experience in machine learning., • Advanced practical proficiency in Python and coding agents., • Experience with one or more of the following:, • PyTorch, • JAX, • NumPy / SciPy, • SGLang, • vLLM, • llama.cpp, • Hugging Face Transformers, • Hugging Face Tokenizers, • Equivalent tools may also be considered where candidates demonstrate relevant technical depth., • Experience at a technology company, AI laboratory, research organization, or recognized engineering environment is preferred., • Strong open-source or academic experience may also qualify.Process, • Apply and complete the screening questions., • Complete an AI interview of approximately 30 minutes., • Complete the hiring manager review.Compensation Compensation is output-based, with payment provided per task that meets project specifications. Task completion time may vary depending on experience and workflow. Minimum submission requirements apply. Start Timeline & Availability We typically fill roles within 48 hours and are seeking experts who can start immediately. Selected candidates should begin their first task within 24–48 hours of completing onboarding.

Job DescriptionMachine Learning Engineer Location: Global, Fully Remote Job Type: Contractor (~15 hours per week) Schedule: Flexible — choose your preferred hours and days, including weekends. We are looking for highly skilled Machine Learning Engineers to contribute to an AI training project focused on model development, training and inference systems, numerical computing, performance optimization, and Python-based engineering. This is a highly coding-intensive role. Candidates must have hands-on experience using Python and coding agents as part of their development workflow. What You'll Work On • Develop, implement, and validate machine learning models, training pipelines, and inference systems., • Build model components, data pipelines, evaluation frameworks, and numerical methods., • Create reproducible workflows using Python and command-line tools., • Debug numerical, performance, and system-level issues., • Optimize memory usage, throughput, and overall model performance., • Review and validate machine learning implementations against defined correctness and performance requirements.Required Qualifications, • Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative field., • Strong professional or research experience in machine learning., • Advanced practical proficiency in Python and coding agents., • Experience with one or more of the following:, • PyTorch, • JAX, • NumPy / SciPy, • SGLang, • vLLM, • llama.cpp, • Hugging Face Transformers, • Hugging Face Tokenizers, • Equivalent tools may also be considered where candidates demonstrate relevant technical depth., • Experience at a technology company, AI laboratory, research organization, or recognized engineering environment is preferred., • Strong open-source or academic experience may also qualify.Process, • Apply and complete the screening questions., • Complete an AI interview of approximately 30 minutes., • Complete the hiring manager review.Compensation Compensation is output-based, with payment provided per task that meets project specifications. Task completion time may vary depending on experience and workflow. Minimum submission requirements apply. Start Timeline & Availability We typically fill roles within 48 hours and are seeking experts who can start immediately. Selected candidates should begin their first task within 24–48 hours of completing onboarding.

Job Description Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity. We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis. Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities. About the Role We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows. Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges Explore image representation in latent space for efficient, high-fidelity virtual staining Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap Collaboration Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches Required Qualifications PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising Expert proficiency in Python and PyTorch and other scientific computing environments a plus Strong mathematical foundation in linear algebra, probability, and optimization Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure) Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles Experience with feature search, data balancing, and data curation pipelines. Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment Extensive use of AI tools for coding, optimization, and ideation Preferred Qualifications Experience with medical imaging, digital pathology, or whole slide image (WSI) processing Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem Background in generative models and fine-tuning of foundation models Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton Experience with hosting computer vision model inference on NVIDIA DGX Spark. Understanding of FDA regulatory requirements for AI/ML in medical devices Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility What We Offer The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Machine Learning Engineer — Model Evaluation & Experimentation Type: Contract Compensation: $60–$90/hour Location: Remote Commitment: 35 hours/week Role Responsibilities • Design tasks by turning real ML research ideas into well-defined, multi-step tasks., • Run experiments by implementing changes, running training experiments, and analyzing results., • Explore reinforcement learning ideas, focusing on reward functions and training behavior., • Evaluate models to identify where frontier models fall short., • Collaborate with researchers and experts to maintain task consistency and rigor. Qualifications Must-Have • MSc or PhD in machine learning, computer science, or a related STEM field., • 1+ years of experience in a research or research-engineering role., • Experience in training and evaluating ML models and running experiments end-to-end., • Strong familiarity with large language models and their evaluation techniques., • Proficiency in Python and Git. Preferred • Basic understanding of reinforcement learning., • Experience in AI training, model evaluation, or benchmark/task authoring. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.