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Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview: As a Human Resources Business Partner (HRBP), you will be responsible for the "employee lifecycle" beyond the initial hire. You will reporting directly to the Head of People, and handle the day-to-day "boots on the ground" HR needs of a best-of-class, high-growth hardtech company. Key Responsibility Areas: • Employee Relations & Culture: Lead the charge in maintaining a high-performance, inclusive culture. Manage complex employee relations, conduct investigations when necessary, and provide conflict resolution coaching., • Performance Management: In partnership with Thea Energy’s VP - People and management team, refine and execute the Company’s performance review cycle, including goal setting, continuous feedback loops, and promotion calibrations., • Learning & Development: Identify skills gaps within the employees and leadership; create and deliver training programs that foster professional growth., • Total Rewards & Compensation: Partner with the VP - People on compensation benchmarking, benefits administration, and equity education to ensure we remain competitive in the deep-tech market., • HR Operations & Compliance: Maintain and enhance data integrity, manage compliance (labor laws, safety/OSHA standards for the lab), and help to refine internal HR policies and handbooks., • Employee Engagement: Execute internal engagement initiatives (team building, pulse surveys) that keep our team aligned and motivated., • DEI: Serve as a strategic DEI consultant to business leaders, auditing talent lifecycles to eliminate bias and implementing data-driven inclusion initiatives that measurably improve workforce representation and employee belonging.Ideal Experience & Skillsets:, • 3+ years as a HRBP within a high-growth startup, engineering, or manufacturing environment., • Strong knowledge of state and federal labor laws including OSHSA., • HR Experience in a manufacturing, lab, or other hardtech environment is a significant plus., • Experience coaching mangers on employee relations issues., • Learning and Development experience in creating and delivering training., • Experience with modern HRIS platforms and a data-driven approach to HR metrics., • Exceptional emotional intelligence and the ability to communicate effectively with everyone from PhD physicists to lab technicians., • A "builder" mentality - you enjoy creating processes from scratch and are comfortable with the ambiguity of a fast-moving startup., • Experience with Microsoft Office (Word, Excel, PowerPoint)., • Experience with SharePoint and Slack is a plus., • Experience with JustWorks is a plus., • Bachelor’s degree or higher is required.Company Benefits:, • Salary range $80K - $140K depending on experience, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job Description Role Summary Lexeo is at an inflection point where AI and advanced analytics can materially accelerate decision-making across discovery, development, and operational execution. This Sr. Director will set direction and deliver applied AI/ML solutions across internal workflows and externally facing outputs, ranging from R&D insights to partner-ready analyses, while partnering closely with scientific teams and, when needed, external vendors/partners to solve real problems. This role is intentionally hands-on and outcome-driven: a leader who can build, validate, and operationalize models using real-world biopharma data to raise the signal-to-noise ratio in small or unstructured datasets (including synthetic control arm approaches where appropriate). Key Responsibilities AI/ML Strategy + Delivery • Define and execute Lexeo’s applied AI/ML roadmap across discovery and development, prioritizing use cases that improve speed, quality, and decision confidence., • Deliver solutions that are internal-only (e.g., scientific decision support, operational forecasting) and those that are generated internally but external-facing (e.g., partner-ready analyses (regulatory dossiers, briefing books, protocols etc.), validated dashboards, and decision materials)., • Lead development and selection of appropriate ML approaches (e.g., XGBoost, Random Forest, SVMs, and other advanced models) based on problem framing, data constraints, interpretability needs, and deployment context., • Apply techniques to amplify signal-to-noise in smaller datasets (e.g., regularization, Bayesian methods, hierarchical modeling, augmentation, multimodal integration, careful feature engineering, uncertainty quantification)., • Translate drug discovery and translational questions into testable analytical hypotheses; partner with bench scientists to design data capture that enables strong modeling., • Partner with stakeholders across R&D, CMC, Clinical, Safety, and IT/Security to implement scalable data pipelines and AI-enabled workflows., • Improve internal processes through automation and analytics, focusing on measurable impact (cycle time, error reduction, throughput, decision latency)., • Establish practical governance for data quality, documentation, and fit-for-use standards aligned with the realities of biopharma environments (including where regulated practices apply). What Success Looks like (First 6-12 Months), • A prioritized AI/analytics roadmap tied to measurable R&D outcomes; clear ownership and delivery cadence., • 2–4 production-grade analytics solutions adopted by teams (internal and/or external-facing outputs as needed)., • A repeatable approach for small datasets and high-noise signals; documented modeling standards and review practices., • Strong partner engagement model: vendors/partners used strategically, with internal capability building and durable outcomes. Required Skills and Qualifications, • Advanced degree in a quantitative or scientific discipline (PhD strongly preferred; MS with exceptional experience considered)., • 10+ years of relevant experience across applied data science/ML in life sciences/biopharma (or adjacent domain with direct drug discovery translation), including 5+ years leading teams and influencing senior stakeholders., • Deep familiarity with advanced ML methods (including XGBoost, Random Forest, SVMs) and the judgment to select and justify the right tool for the job., • Demonstrated experience building predictive models with real-world, imperfect datasets and delivering them into production or decision workflows., • Proven ability to improve processes and operationalize analytics—moving beyond prototypes to adoption., • Strong cross-functional communication: can partner with scientists, engineers, and executives; can explain model performance and limitations clearly. Preferred Skills and Qualifications, • Direct experience in drug discovery, translational research, and/or R&D decision support (target ID/validation, MoA, biomarker strategy, preclinical data integration)., • Experience with small data strategies, causality-aware thinking, and synthetic control arms or closely related methodologies., • Experience operating in regulated/quality-sensitive environments and building documentation practices that scale (particularly relevant where validation and traceability are required).

Job DescriptionAbout the Role We are seeking an exceptional quantitative researcher to lead our intraday equities alpha team. You will focus on discovering and modeling short-horizon statistical signals across large equity universes, leveraging high-frequency market data and cross-sectional relationships. This role is ideal for candidates with a strong background in signal research and a deep understanding of market microstructure. What You'll Do • Develop and test short-term alpha signals using high-frequency (tick-level and order book) data across global equity markets., • Analyze inter-symbol dynamics, liquidity patterns, and cross-sectional dependencies to identify transient inefficiencies and arbitrage opportunities., • Conduct rigorous backtesting and performance attribution across large baskets of equities in a fully systematic environment., • Collaborate with engineering and trading teams to deploy and monitor strategies in live production., • Continuously refine signal stability, robustness, and decay profiles across changing market regimes.What We Look For, • 5+ years of experience in alpha research or quantitative signal development, ideally in intraday or short-horizon equity strategies., • Deep understanding of market microstructure, order flow dynamics, and execution-related features that affect signal quality., • Strong programming skills in Python and/or C++, and fluency in working with large-scale high-frequency datasets., • Experience in cross-sectional modeling and statistical arbitrage frameworks across equities., • Advanced degree (MS/PhD) in a quantitative field such as mathematics, physics, statistics, computer science, or related disciplines.Nice to Have, • Experience with production-level alpha deployment in global equity markets (US, CN, APAC, EMEA)., • Familiarity with execution-aware signal design (slippage modeling, alpha decay, trade-to-book impact)., • Track record of successful signal ideas contributing to live PnL.Summary, • You'll work on short-horizon predictive modeling using high-frequency cross-sectional signals across equities. You won't manage execution or risk, but you'll work closely with teams who do. If you're passionate about alpha and fluent in market data, this role is for you. Pay Range: • Actual salary is commensurate with candidate's relevant years of experience, skillset, education and other qualifications. Base salay USD $125,000.00 - USD $500,000.00/Yr.

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job DescriptionAbout Voyant: Voyant Photonics, based in the heart of New York City, is transforming machine perception with a new class of LiDAR devices that are compact enough to fit in the palm of your hand and powerful enough to measure range, velocity, and reflectivity with unparalleled accuracy. By leveraging cutting-edge silicon photonic chips smaller than your fingertip, we deliver sensors that are not only revolutionary in performance but also affordable enough to integrate into any system. Our technology disrupts the status quo of bulky, expensive, and power-hungry LiDAR systems, making high-precision sensing accessible for widespread adoption in robotics, autonomous vehicles, drones, industrial automation, and beyond. With Voyant, the next generation of machines can see, understand, and navigate the world like never before. Discover how we’re redefining what’s possible by making real products out of cutting-edge research in silicon photonics. Position Overview: We are seeking a highly motivated and self-driven Photonics Test Engineer to take ownership of test development and operations for our cutting-edge silicon photonics FMCW LiDAR technology. This is a hands-on role where you will develop and execute advanced test methodologies, ensure rigorous validation of our photonics devices, and work closely with a multidisciplinary engineering team. You will set a high standard for test execution, troubleshooting, and process improvements, leading by example through direct contributions and technical expertise. Key Responsibilities: * Develop and execute design verification tests, analyze results, and provide feedback to improve device performance. * Define and implement both die-level and wafer-level test solutions in collaboration with design, product, and packaging teams. * Develop production test solutions for silicon photonics components to ensure manufacturability and scalability. * Optimize and standardize test and analysis methodologies to improve repeatability and accuracy. * Bring up, manage, and operate automated wafer-level test (WLT) probers for silicon photonics devices. * Perform routine setup calibrations and ensure quality control in test processes. * Identify and mitigate test challenges, ensuring the execution of large-scale technical projects in a timely and efficient manner. Qualifications: * Education: Bachelor's, Master’s, or PhD in Electrical Engineering, Photonics, Optics, Physics, or a related field. * Experience: Minimum 2 years of hands-on lab experience testing silicon photonics devices or related photonics/optics components. * Technical Expertise: * Strong understanding of optical integrated circuit (PIC) design, testing, and its impact on product yield and performance. * Hands-on experience with optical test and measurement equipment (e.g., optical spectrum analyzers, power meters, interferometers, high-speed photodetectors) and optomechanical alignment tools. * Proficiency in Python for test automation, data analysis, and instrument control. * Knowledge of automated wafer-level testing (WLT) and test methodologies for silicon photonics. Practical experience in WLT is highly preferred. * Experience with fiber alignment automation or active alignment techniques. * Problem-Solving: Strong analytical and troubleshooting skills, with the ability to resolve complex system issues and propose corrective actions. * Communication & Collaboration: * Strong verbal and written communication skills to effectively convey complex test results, analysis, and technical insights. * Ability to work cross-functionally with design, manufacturing, and packaging teams. * Work Ethic & Adaptability: * Highly self-motivated and capable of managing multiple tasks with attention to detail. * Comfortable working in a fast-paced environment with evolving technical challenges. Benefits Package: * Competitive base salary and meaningful equity package. * Comprehensive health benefits (Medical, Dental, Vision). * Unlimited PTO and paid company holidays. * Team events and company meetups. * Complimentary lunch provided daily at our NYC office Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law.

Job Description Quantitative Researcher — High Frequency Equities (US Markets, New York) Location: New York, HK, China Responsibilities • Analyze diverse datasets across US equity and futures markets to identify quantifiable trading edges and discover actionable alpha signals in high‑ and mid‑frequency domains., • Conduct end‑to‑end research including alpha factor mining, feature engineering, model construction, backtesting, and strategy optimization with realistic transaction cost and execution modeling., • Design and run robust backtests, walk‑forward validation, and stress tests to ensure signal stability and economic significance., • Collaborate with execution, engineering, and risk teams to translate research into production‑ready strategies and support live deployment/monitoring., • Bachelor's, Master's, or PhD in Statistics, Physics, Computer Science, Mathematics, or another quantitative field., • Proven hands‑on experience with high‑frequency US equity trading (experience with tick‑level data, microstructure, order book dynamics, and execution constraints is required)., • Proficiency in at least one programming language: Python (preferred), C++, C#, MATLAB, or R., • Strong data engineering and numerical skills for handling large tick‑level datasets and building scalable backtesting pipelines., • Ability to read and synthesize academic/technical English literature and rapidly learn new technical domains., • Competition awards (e.g., IMO/IPhO/ACM‑ICPC) or strong contest performance., • Publications in top‑tier peer‑reviewed journals or conferences., • Experience with low‑latency systems, co‑location, market data feeds, and execution optimization techniques., • Please submit your CV and a brief summary of relevant HF experience, including the markets/data you worked with, example signals or strategies developed, and any performance/production outcomes.

Job Description Basic Qualifications: • Knowledge of different compilation steps (and ability to fix) in languages such as Go, C, C++, or Java., • Excellent communication skills and the ability to collaborate effectively with cross-functional teams, • Ability to mentor and grow a group of other Software Engineers, • Ability to lead projects with several cross-org dependencies and design complexities, • Large-scale training using data structures and algorithms, • Modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning) Preferred Qualifications • PhD or equivalent in Computer Science, Engineering, Mathematics or related field, • 8+ years of experience in professional software development experience, developing and deploying systems in production environments, • Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib, • Excellent communication skills and the ability to collaborate effectively with cross-functional teams, • Ability to mentor and grow a group of other Software Engineers, • Anomaly Detection Techniques, • Deep Learning, • Scalable ML architecture, • Feature management, • Causal ML, • Reinforcement learning Anticipated base 250-280k + bonus + equity and comprehensive benefits

Job DescriptionResponsibilities • Lead the Machine Learning and Applied Science team through strategic roadmaps to support business initiatives with high impact., • Guide the teams technically, engaging in architecture definition, implementation of best practices, and troubleshooting when needed., • Mange the team through all phases of machine learning development, from concept and design to deployment and monitoring., • Stay ahead of state-of-the-art research and industry trends in machine learning, computer vision, pricing algorithms, and related fields., • Collaborate with other Engineering and Product teams to evaluate requirements and use cases for new systems., • Invest in the career development of the team members, develop future leaders, and create a culture of cohesion and teamwork., • Participate in talent acquisition processes to ensure that we have world class engineers across all skill and experience levels., • Establish metrics to measure the productivity of the team, hold people accountable and identify people issues early.Requirements and Qualifications, • PhD or MS in Computer Science, Statistics, Operations Research or a relevant quantitative discipline. PhD is strongly preferred., • 5+ years of industry experience, with at least 1+ years of experience leading machine learning teams preferably in computer vision or pricing domain., • 2+ years of experience as a hands-on senior, staff, or principal engineer with demonstrated end-to-end ownership of a machine learning project before transitioning into managing teams., • Expert level knowledge in Python and SQL for model development and statistical analysis., • Proficiency in ML frameworks such as TensorFlow, PyTorch, or scikit-learn., • Proficiency in edge computing, distributed systems, and cloud platforms (e.g., AWS, GCP, Azure)., • Strong foundation in data structures, algorithms, and optimization techniques., • Experience with common program management (MS Project, Visio, etc.) and productivity (Confluence, Jira, etc.) tools., • Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences., • Previous experience working inside innovative, high-growth environments is a plus., • Publications or patents in relevant fields such as machine learning, computer vision, or optimization is a plus.Company DescriptionStaffSource is committed to creating long-term partnerships where we can truly affect both clients’ and candidates’ lives for the better. Our success is rooted in matching talented professionals with environments that suit their goals, personalities, lifestyles, and skills. A perfect placement allows candidates to thrive in their new role and hiring managers to fill their openings with top talent that aligns with both the needs of their team and the company’s culture. Founded in 2003, StaffSource now has a 20+ year company history with business units operating within Information Technology, Accounting and Finance, Sales, Executive Search and more. Still headquartered in Knoxville, TN and lead by our founder John Sharpe, we are now serving clients and candidates all across the United States. We conduct national, regional, and localized talent searches based on the specific needs of each client and the unique goals of top talent everywhere.StaffSource is committed to creating long-term partnerships where we can truly affect both clients’ and candidates’ lives for the better. Our success is rooted in matching talented professionals with environments that suit their goals, personalities, lifestyles, and skills. A perfect placement allows candidates to thrive in their new role and hiring managers to fill their openings with top talent that aligns with both the needs of their team and the company’s culture.\r\n\r\n Founded in 2003, StaffSource now has a 20+ year company history with business units operating within Information Technology, Accounting and Finance, Sales, Executive Search and more. Still headquartered in Knoxville, TN and lead by our founder John Sharpe, we are now serving clients and candidates all across the United States. We conduct national, regional, and localized talent searches based on the specific needs of each client and the unique goals of top talent everywhere.

Job Description Quant Developer/Market Maker The Company - Our client is a small trading shop, whose founders have an extremely successful track records in all prior ventures in high Frequency trading. The core consists of small group of educated PhD scientists who came together to build trading models in multiple asset classes over the last decade. They were first challenged to finding non-random behavior in data sets as they tackled the FX market with new algorithmic trading and quickly separated themselves from everyone else in the market. That company was bought by a world leader in capital markets, and they moved into equities, and were successful as a prop trading shop for over 6 years, and was eventually bought as well. They are now onto their next venture they are looking to tackle the cryptocurrency market. As a trusted asset to every large financial trading desk through the years, institutions have expressed great interest in trading with them, and the firm provides crypto asset execution, trading, and advisory services to institutional clients, as well as making markets on various exchanges, as well as providing customized algorithms to split up trades. They are looking for a Quant Developer (Quant/Market maker) to join this team, and head up building the market making product. This person does not need crypto experience, but needs to understand the technical backbone of market making systems, market microstructure and the technical needs for setting up and monitoring strategies. All systems are built from scratch and brand new. The competitive advantage is the model and brilliant combination of quantitative minds. They build their systems to be smarter, highly risk averse, rigorously tested and with a strict scientific approach to modeling. The Role – Starting as an Senior Quant Developer/Market Maker you will get a chance to get in on the ground floor in a low key environment and let data drive your decisions. This opportunity is for a top notch engineer with strong quantitative skills, to take a pragmatic approach and enjoy the flexibility of building something, in an environment where there is no red tape, or barriers to your creativity. It is a great opportunity for a Quant who wants to leverage technical/math skills to learn more about, and get into trading. Ideas for strategies are encouraged, and team will help you test and implement them. This is an opportunity for you to work with elite minds as well as trade ideas, grow in knowledge and gain exponential earnings potential. The overall climate is for everyone to make money and go home satisfied. Flexible hours and telecommuting is offered. Qualifications ¬ Experience working with high performance trading systems, specifically market making systems. ¬ FX is preferred over equity, because it translates better to the crypto-market. ¬ Strong Java/C# Programming ¬ Ability to develop systematic models from a mathematical approach ¬ Strong Math/Quantitative Skills and experience with Large Data Sets ¬ Top Tier Education – Masters or PhD (Math, Science, Computer Science, Engineering, Computational Finance) Skills and abilities you will be finely rewarded, compensation greatly depends on experience, equity and salary will be based on value.

Job DescriptionTagup is a Series A defense technology company, founded at MIT, that is redefining logistics superiority with next-generation AI. It all started on a balcony at MIT, with an idea about monitoring asset data via the cloud using passive RFID tags (TAG) - sent up (UP) to the cloud. Our product Manifest— is the operating system for the physical world. We’re a team of engineers and data scientists driven by our mission to use reinforcement learning and probabilistic modeling to optimize military logistics and critical infrastructure, ensuring our customers get the best performance they can out of the resources. You make a real world impact where your code won't just optimize a shopping cart or a compute primitive. It will optimize supply chains for the U.S. military and prevent catastrophic failures in critical infrastructure. We do not use proprietary tooling or build systems and deployment pipelines. We build on modern, open standards you can apply in any space. You won't just own a slice of a service. You will own entire architectural domains—from API design and data modeling to deployment and monitoring strategies. You’ll work directly with PhD-level data scientists and former special operators. We value high-velocity decision-making over "approval chains." We're hiring a Senior Forward Deployed Engineer to lead the technical delivery of our platform to defense customers. This isn't a support role. You'll be the person in the room when a combatant command needs a capability deployed in weeks, not quarters. You'll shape how our technology meets the battlefield, and you'll have the autonomy and ownership to make it happen. If you want to build things that matter — and see them used immediately — this is the role. What You'll Do Lead from the front. You'll be the senior technical face of Tagup with our most important defense customers. You'll build trust with operators, program managers, and military leaders — and you'll be the person they call when the mission depends on it. Architect deployments end-to-end. From contract kick-off through production operations, you'll own the full delivery lifecycle. You'll design deployment architectures, define integration strategies, set milestones, and ensure we deliver on time in environments where "on time" isn't negotiable. Bridge the gap between product and mission. You'll translate operational needs into product requirements, working directly with our engineering team to prioritize features that unlock real capability for warfighters. Your field experience will directly shape our roadmap. Manage complexity. You'll run multiple concurrent engagements across different customers, classification levels, and operational contexts — keeping every one of them on track. What We're Looking For * 8+ years of experience in software delivery, technical consulting, solutions engineering, or forward-deployed roles — bonus points for defense, intelligence, or other high-security environments * Strong engineering fundamentals. You can write production-quality Python or JavaScript, reason about distributed systems, and debug a deployment at 2 AM if the mission calls for it * Exceptional communication skills. You're equally comfortable whiteboarding an architecture with engineers and briefing a general officer on delivery timelines * A bias for action and ownership. You don't wait for permission. You see what needs to happen and you make it happen * Willingness to travel to customer sites as needed — sometimes on short notice Salary Base salary: $160,000 – $200,000, depending on experience and location. We align compensation with your experience and impact, and we aim to attract and retain top engineering talent. In addition to salary, every team member receives meaningful equity through our Employee Stock Option Plan. We also offer comprehensive health insurance, access to a 401(k) plan, and a team-oriented culture with regular company outings.Why Tagup This isn't a company where engineers are three layers removed from the mission. At Tagup, the code you write on Monday can be running in an operational environment by Friday. You'll work alongside a small, intensely talented team where your judgment matters, your initiative is rewarded, and the work has consequences beyond quarterly metrics. We're at an inflection point — growing quickly, winning major contracts, and building the team that will define how AI is used in defense logistics for the next decade. If you want in on the ground floor of something consequential, we'd love to talk. Tagup is an equal opportunity employer and individuals seeking employment with us are considered without regard to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law. Citizenship: Due to the nature of our work with the U.S. Department of Defense, applicants must be authorized to work for any employer in the U.S. We are unable to sponsor visas at this time. 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.

A technology startup focused on AI is looking for electrical engineers to train and evaluate AI models. Candidates should hold a Master’s or PhD in Electrical Engineering and must communicate technical concepts clearly. This remote, flexible contract job allows you to create complex engineering pr

Job DescriptionCoreWeave 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 Summary CoreWeave is seeking a Sr. Data Scientist to architect and scale the data infrastructure that serves as the backbone of our Integrated Planning and Capacity teams. As an AI hyperscaler, our ability to manage GPU, CPU, and storage assets in real-time is the difference between leading the market and falling behind. Currently, our systems are in a nascent, "bare minimum" stage. You will be responsible for leading the transition to a centralized, production-grade database system. This is a heavy software engineering-focused role where you will build the pipelines and transformations necessary to unify disparate metrics—ranging from power utilization and node health to customer capacity allocation data—into a single, accurate source of truth. Your work will directly enable the dashboards used by operational planners and executives, and provide the high-fidelity data required to develop autonomous, data-based agents for quantitative decision-making. Key Responsibilities • Architect Scalable Pipelines: Design, build, and maintain robust end-to-end data pipelines and transformations that aggregate data from across the organization, including data center operations, power metrics, node provisioning, and finance., • Enable Advanced Analytics: Build and optimize the data structures that power real-time and near-real-time dashboards for operational capacity and demand managers., • Support AI Agent Development: Ensure that data pipelines are architected to support the ongoing development of quantitative AI agents designed to synthesize complex data and inform high-stakes infrastructure decisions., • Cross-Functional Synthesis: Partner with Data Center Operations, Supply Chain, Product, and Finance to ensure technical pipelines accurately reflect the physical realities of data center bring-up and node health., • Education: Master's or PhD in Computer Science, Computer Engineering, Operations Research, or a related quantitative field., • Experience: 6+ years of professional experience in data engineering or data science, with a heavy emphasis on building production-grade planning systems (ERP, MRP, or similar operations tools)., • Software Engineering Expertise: Expert-level proficiency in Python and SQL is mandatory. Experience with modern data stack tools (e.g., dbt, Airflow, Snowflake/BigQuery) and software development best practices (version control, CI/CD)., • Systems Thinking: Proven track record of taking "weak" or unstructured data environments and scaling them into robust, automated architectures., • Domain Knowledge: Familiarity with AI infrastructure, specifically GPU/CPU utilization metrics and data center operational constraints., • Background: Prior experience in high-complexity environments such as cloud infrastructure, semiconductor manufacturing, or advanced logistics. 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, including: • 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 While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only 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: . 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: Chemistry Content Author Type: Contract Compensation: $35–$75/hour Location: Remote Commitment: 10+ hours/week Role Responsibilities • Author original chemistry questions that test deep conceptual understanding. Ensure questions are unambiguous, self-contained, and precisely defined., • Rate each question's difficulty level: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above)., • Provide one correct answer and nine plausible but subtly incorrect alternatives to challenge expert-level solvers., • Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format., • Supply 1–5 academic references per question from reputable sources such as peer-reviewed journals or university repositories. Must-Have • PhD or doctoral candidate in Chemistry, Biochemistry, Chemical Engineering, or a closely related field., • Master's degree considered for candidates with exceptional depth in a specific subdomain., • Strong command of graduate-level chemistry concepts, reaction mechanisms, and quantitative analysis.

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., • 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., • 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. 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.

Job Description About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role 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 play a critical part in building DataCamp's software engineering curriculum. You'll collaborate with instructors and teams across curriculum, engineering, product, and marketing to design and develop our software engineering curriculum—helping millions worldwide upskill in foundational programming and engineering skills. This is an individual contributor role—you will be expected to recruit instructors, create course outlines, review course content, and create and update course content where needed. Here's what your day-to-day will look like: • Own the software engineering curriculum roadmap. You will conduct research on industry trends and in-demand skills and continuously iterate on our curriculum strategy to ensure our roadmap and priorities reflect best practices in software engineering., • Manage the entire content development lifecycle and deadlines., • Source and recruit top-tier instructors who are subject matter experts., • Collaborate with instructors to create engaging content., • Design, review, and create content covering software engineering topics. You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective., • Work with cross-functional teams, including engineering, to enable content creation for more advanced technical topics., • Continuously assess course performance using learner feedback and engagement data to drive improvements., • Proven full-stack web development experience with HTML, CSS, JavaScript, and Typescript. Understanding of modern web standards, cross-browser compatibility, and accessibility., • Hands-on experience with JS/TS backend frameworks such as Express or Next.js and familiarity with front-end frameworks like React., • Experience with modern JS tooling such as npm and yarn, automated testing using frameworks such as Jest, and methodologies as Test-Driven Development (TDD) and/or Behavior-Driven Development (BDD)., • You can quickly learn new concepts in software engineering and identify what learners need to know about these concepts., • 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, or a related STEM field, or equivalent industry experience., • Ability to work collaboratively with both technical and non-technical stakeholders. You thrive wearing multiple hats., • Strong written and verbal communication skills and attention to detail., • Strong sense of ownership, accountability, and urgency., • Experience in software engineering education., • A deep understanding of the DataCamp course format—you have an intuitive understanding of what makes a great DataCamp course. 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: Face new technical challenges daily, keeping your work engaging and rewarding., • Competitive compensation: We offer a competitive salary with attractive benefits., • Flexibility: Benefit from flexible working hours because the future is flexible!, • Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth., • Global retreats: Participate in international company retreats, fostering a global team spirit., • Equipment: Yearly refreshment of your IT Equipment budget for your home working setup. At DataCamp, we value diverse experiences and perspectives. If you're excited about this role but don't meet every qualification, we still encourage you to apply. We believe skills can be developed and are committed to fostering an inclusive workplace where everyone can thrive. Your unique talents and perspectives are what make our team great!

Job DescriptionCompany Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube. Job Description As Data Science and AI Lead overseeing Platform, Governance, and Delivery for Data Science and AI solutions at AbbVie, you will lead a diverse team of data scientists responsible for designing, executing, and scaling data science solutions across the enterprise. Reporting into Operations Business Insights (OBI), you will establish and execute the vision and roadmap for a robust, agile, and compliant data science platform, ensuring strong governance practices and operational excellence in delivering impactful data science to drive innovation, performance, and agility company wide. Leading a multifaceted team, you will have end-to-end accountability for platform strategy, stakeholder engagement, project delivery, and talent development. You will be expected to set the standard for technical and consulting excellence, foster a culture of continuous learning, and promote effective collaboration within and outside your group, including functional data scientists, business partners, academic collaborators, and technology leaders. Key Responsibilities: • Provide leadership in developing, maintaining, and governing the data science platform to enable secure, scalable, and compliant analytics throughout AbbVie’s global operations, spanning Supply Chain, Quality, Procurement, Manufacturing, and Science & Technology., • Oversee the delivery lifecycle from requirements discovery, solution design, and modeling through deployment and monitoring of productionized data science applications, studies, and proofs of concept by leading teams of diverse data scientists and analysts., • Lead and champion best practices in data governance, stewardship, and quality, ensuring compliance with regulatory and organizational standards (e.g., GxP, master data management, data lineage, model validation, etc.)., • Push forward with semantic engineering and agentic engineering, best practices and capability delivery to support more advanced AI use cases. Oversee architects involved in semantic and agentic engineering and solutioning., • Develop and promote advanced analytics capability, including supervised/unsupervised machine learning, deep learning, AI/ML platform services, and the enablement of novel AI applications such as RAG and semantic layering for human-in-the-loop systems., • Foster strategic partnerships with senior functional leaders, technology stakeholders, and external collaborators to accelerate the transfer of advanced methods into high-value business solutions., • Collaborate on group strategy and roadmap, enable cross-functional GenAI initiatives, and serve as a thought leader for education, awareness, and innovation in enterprise data science., • Ensure robust consulting, communication, and change management plans are in place to drive adoption of data science solutions at all organizational levels, including executive leadership. Required: • Bachelor's Degree with 9 years’ experience; Master's Degree with 8 years’ experience; PhD with 4 years’ experience., • Significant experience leading multi-disciplinary teams delivering enterprise-scale data science platforms and applications, preferably in regulated industries such as pharmaceuticals, life sciences, or healthcare operations., • Deep expertise in data science methods (ML, AI, statistics), modern data engineering (cloud, big data, pipeline orchestration), and business analytics, with mastery of tools such as Python, R, Dataiku, AWS SageMaker, Spark, Tableau, etc., • Demonstrated ability to define and execute governance frameworks for data quality, master data, model lifecycle management, and regulatory compliance., • Extensive consulting and stakeholder management experience, including effective communication of complex technical solutions to executive audiences and cross-functional business partners., • Proven ability to drive innovation (strategy, whitepapers, roadmaps), develop cross-functional partnerships, and lead technology transfer initiatives to embed analytics into core business processes., • Experience mentoring and growing diverse teams, with a focus on inclusion, equity, and continuous learning., • Experience delivering data science solutions in industry (non-academic settings strongly preferred), with demonstrated progression in leadership roles., • Experience with data-driven transformation in Quality, Supply Chain, Procurement, or Central Operations within a large pharmaceutical or life sciences organization, and deep understanding of GxP practices., • Background in technology innovation, MLOps, platform architecture, or boutique/strategy consulting with measurable stakeholder impact. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: * The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this postingbased on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more orless than the posted range. This range may be modified in the future. * We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. * This job is eligible to participate in our short-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission,incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paidand may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Job Description Are you a high-agency, ambitious person looking to work on groundbreaking projects? Do you want to be a major part of a rock-star team in a rapidly growing startup, collaborate with industry leaders, and make a real impact in the AI-for-legal landscape? Do you want to have ownership in a startup building something people want with significant traction? This is your chance to join a rocket ship! 🏗️ About the role We are looking for a smart, high-agency individual with frontend-leaning software engineering experience to lead our product growth efforts. You’ll operate at the intersection of engineering, product, and marketing. You’ll work across the full range of metrics, including product usage analysis, product engagement, user acquisition, pipeline optimization, and more. You’ll be responsible for: * Product usage analysis: Use dashboards (Posthog, Grafana, Datadog, etc.) to analyze usage behaviour and patterns, and then use that to (1) steer our top-of-funnel growth marketing and (2) drive engagement across our existing customer base. * Top-of-funnel optimization: Come up with novel ways to build top-of-funnel pipeline, and run creative experiments to build top-of-funnel (embed product features in SEO blog posts, track the performance of our paid ads, conferences, events, etc.). * Usage optimization: Develop workflows to flag unengaged users and experiment with strategies to drive more engagement. * Metric strategy: Work with us to define the key metrics we should be optimizing for. * Revenue & pipeline optimization: Help us optimize each step in our pipeline pre- and post-sale. 👋 Who you’ll work with Sanj (Chief Research Officer and co-founder): Sanj did his MSci in Physics at the University of Cambridge and his PhD in AI at the Gatsby Unit, UCL. He won awards at top AI conferences, worked on the R&D team at Huawei, and received widespread attention for his contributions to open-source LLM GitHub projects. He joined Magic Carpet AI as employee #4, where he developed AI strategies for trading which deployed millions of capital before being acquired by Blockchain.com. Chris (Chief Executive Officer and co-founder): Chris did his undergrad at Imperial College, masters at the University of Cambridge, and PhD at UCL, during which he published 10+ publications and won awards in top AI conferences and journals. He has worked in leading tech organisations, including Dyson, The Alan Turing Institute, and InstaDeep before its acquisition by BioNTech. Angus (Chief Technology Officer and co-founder): Angus did an MEng in Computer Science at the University of Bristol where he won a cyber security scholarship at GCHQ before working at Qualcomm. He then joined a London-based hedge fund, Coremont (Brevan Howard). There, he led a small team to build a greenfield trade processing platform which scaled to millions of trades per day. You’ll also work with the rest of our super talented team of AI researchers, software engineers, patent attorneys, and go-to-market experts. 🛠️ What you bring As our Founding Growth Engineer, you will be a driven, ambitious, and high-agency individual looking to have a big impact on the trajectory of a fast-growing AI startup’s product and growth. You might be a technical ex-founder or software engineer looking for high autonomy and the opportunity to have a significant impact. Must haves: * Strong frontend-leaning engineering skills. * Strong product sense. * Interest in growth and the business side of things. Preferred haves: * Experience with product analytics tools (e.g. Posthog, Datadog, Grafana, etc.). * Experience with launching or growing products. 🎁 What we offer * Competitive base salary depending on skill and experience. * 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. Compensation Range: $100K - $250K

Job DescriptionCoreWeave 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 You'll Do: The Storage Engine 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)., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $188,000 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, including: • 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 While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only 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: . 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 DescriptionAbout Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI. About the Role A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic AI, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams. Responsibilities • Team Leadership: Lead a team of data scientists to develop innovative solutions to complex business problems. Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work., • Collaboration: Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions., • Strategic Assessment: Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue., • Solution Design: Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems., • Communication: Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner., • Continuous Learning: Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems., • Pipeline Management: Responsible for developing, implementing, and managing end-to-end machine learning pipelines. This will involve building, deploying, and maintaining machine learning models, as well as ensuring data quality and system stability. Requirements for the Role, • Education: Bachelor's, Master's, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field., • Experience: 6+ years of total experience in Data Science, Machine Learning & Generative AI., • Cloud Computing: 4+ years of hands-on experience with AWS, including deep expertise in deploying models and managing compute environments., • IBM WatsonX: 2+ years of hands-on experience with IBM WatsonX, • Agentic AI Tools: Experience with LangGraph, Google ADK or similar., • Agentic Architectures : Experience with advanced RAG & multi-agent systems., • Programming: Strong programming skills in languages such as Python, R, C++, and SQL., • Frameworks: Hands-on experience with ML frameworks, such as PyTorch or TensorFlow. XDOyWllq0r

Job DescriptionAbout 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. About the Role We're hiring for an experienced ML-focused Data Scientist to own growth-oriented modeling across the customer lifecycle - acquisition, activation, retention, resurrection and monetization. You'll work alongside other data scientist to design, validate, and productionize statistical and ML systems (pLTV, churn/survival, uplift/incrementality, lookalikes, clustering/embeddings, NBA/ranking) that directly drive growth. This is a hands-on role for someone with strong mathematical/statistical foundations, broad modeling experience, and pragmatic MLOps chops who can lead experiments and partner closely with Marketing, Engineering, CRM, and Product. What you'll do… • Lifecycle modeling: Build and maintain predictive LTV, churn (including survival/time-to-event), order-rate, and resurrection models that feed acquisition, CRM, and retention strategies., • Acquisition & lookalikes: Create lookalike / propensity models for paid channels and audience construction; optimize CAC vs LTV tradeoffs., • Next-Best-Action & personalization: Develop NBA/ranking models, small-scale recommenders and embedding-based similarity systems to increase activation and orders., • Unsupervised & representation learning: Lead segmentation, clustering, embeddings and representation work that create actionable cohorts and features., • Production & MLOps: Own the full model lifecycle - training pipelines, CI/CD, model registries, containerized deployment, monitoring, retraining and drift detection; partner with engineers to operationalize models into CRM, marketplace and paid channels., • Model governance & reproducibility: Ensure models are well-tested, explainable, calibrated, and auditable; document assumptions, limitations and business mappings., • Cross-functional influence: Translate technical work into product recommendations, dashboards and clear narratives for Growth, Marketing and Engineering. Mentor peers and raise modeling and MLOps standards.Required qualifications, • 5-8+ years in data science, applied ML or statistics, with a track record of shipping production models., • Strong math & statistics: probability, inference, regression, survival analysis/time-to-event, causal reasoning, and familiarity with statistical modeling tradeoffs., • End-to-end ML experience: experience building, validating and deploying classification/regression/ensemble/deep models; comfort with embeddings and representation learning., • MLOps & production skills: pragmatic experience with model CI/CD, model registries (MLFlow or similar), containerization (Docker), orchestration (Airflow), and runtime infra (K8s / ECS)., • Software engineering & tooling: Python (pandas, scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow optional), strong code hygiene, testing and reproducibility., • Product & stakeholder collaboration: excellent communication, ability to embed with Growth/CRM/Marketing and translate models into product decisions., • Education: BS in a quantitative field required; MS/PhD in statistics, math, CS, economics or similar preferred.Nice-to-haves, • Experience in subscription marketplaces, food-tech, or consumer marketplaces., • Familiarity with feature stores, Snowflake/BigQuery, and production monitoring tools., • Experience with causal libraries (EconML), uplift frameworks, or survival modeling packages., • Prior work on small-scale recommender systems, embeddings, or NLP personalization. Learn 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 ⛱ 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 a nutritional coach and fitness subsidies to build a healthy lifestyle 👩🏾️‍🏫 Personalized Spanish coach 🌟 Awesome opportunity to join a company that is looking to change how we eat and how chefs work! Compensation All 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$160,000—$185,000 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.

Job DescriptionPatent Litigator 🎯 Are you a patent litigator with a technical edge who wants more than just billable hours? Do you want to shape litigation product strategy for the fastest-growing AI company in IP? Do you want to own how we evolve the patent litigation product at a company that's rewriting the rules? This is your chance to join a rocket ship! 🚀 🏗️ About the role We are looking for a super smart and talented Patent Litigator to lead and build out our patent litigation capability as we launch Charts, our new patent litigation product. You'll be joining the most lean, talent-dense, and fast-moving legal team in London. You'll be responsible for: * Conducting infringement and validity analysis across technical domains * Advising on litigation risk and developing strategic recommendations for clients using the platform * Working directly with the engineering and AI teams to shape how Charts handles litigation workflows * Supporting patent prosecution-to-litigation handoffs across the IP lifecycle * Contributing to product development by translating litigation expertise into platform features * Managing relationships with outside counsel and coordinating multi-jurisdictional matters 👤 About you As our founding Patent Litigator, you will have extensive experience handling complex patent disputes through associate or senior associate roles at top-tier litigation firms. * 3+ years of experience as an associate or senior associate in patent litigation * Technical background — ideally a patent attorney who moved into patent litigation (technical field agnostic: life sciences, electronics, mechanical, etc.) * Super smart, hard working, and high agency — the kind of person who thrives in fast-paced, ambiguous environments * Experience at elite patent litigation firms (e.g. Quinn Emanuel, Kirkland & Ellis, or equivalent calibre) * Strong analytical and strategic thinking with the ability to break down complex technical and legal issues * Based in NYC or London Nice to have: * Experience across both life sciences and non-life sciences patent matters * Familiarity with AI/ML tools in legal workflows * Prior experience at a startup or in-house legal team * Dual-qualified or experience with cross-border patent disputes 💰 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 400+ global IP teams across 6 continents (DLA Piper, tech giants, boutiques, etc); 8 figures of ARR — all just ~2 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. Come join the rocket ship 🚀 👥 Meet the founders Sanj (Chief Research Officer and co-founder): Sanj did his MSci in Physics at the University of Cambridge and his PhD in AI at the Gatsby Unit, UCL. He won awards at top AI conferences, worked on the R&D team at Huawei, and received widespread attention for his contributions to open-source LLM projects on GitHub. He joined Magic Carpet AI as employee #4, where he developed AI strategies for trading, before the company was acquired. Chris (Chief Executive Officer and co-founder): Chris did his undergrad at Imperial College London, his masters at the University of Cambridge, and his PhD in machine learning at UCL, during which he published 10+ papers and won awards at top AI conferences and journals. Prior to founding Solve, Chris worked at The Alan Turing Institute, InstaDeep, and Dyson. Angus (Chief Technology Officer and co-founder): Angus holds an MEng in Computer Science. He led trade platform development at Coremont after roles at GCHQ and Qualcomm. Compensation Range: $150K - $250K

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The OpportunityAs a Computational Materials Scientist, you will be engaging in critical simulations and modeling for materials discovery, development, and characterization. Your expertise with ab-initio calculations, DFT, and other forms of computational and theory-based modeling will be crucial to our AI-driven discovery process. You will work with leading AI scientists who depend on you to assist in data aggregation, data generation, materials simulation and model development. You will draw on a robust background in computational chemistry, software development, and machine learning. You will be responsible for running AI-enabled computational workflows for materials discovery, serving as a critical resource to the ML and materials research teams.About you • PhD degree in Chemistry, Materials Science, Computational Chemistry, Chemical Engineering, or another related subject., • Strong research experience (e.g., evidenced by publication record), including experience in computational modeling, utilizing ab-initio methods, and coarse-graining potentials for multiscale simulations of atomistic systems., • Understanding of the fundamental mechanics of metals and how to model them computationally., • Experience running high-throughput DFT., • Experience with interatomic potentials., • Chemistry software development experience (preferably public on e.g. GitHub, please share links to high impact pull request)., • Experience coding in Python or other similar languages.Pluses, • Running high-throughput DFT workflows at the order of 5,000+ concurrent jobs., • Prior experience in transitioning AI + computational research into production environments., • Experience with additional ICME approaches (e.g., mechanistic structure-property modeling, Phase Field, CALPHAD, Atomistics, Molecular statics/dynamics, etc.)., • Experience with FEM software tools (e.g., ANSYS, ABAQUS, MOOSE, PRISMS). Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Description Cresilon® is a Brooklyn-based biotechnology company that develops, manufactures, and markets hemostatic medical devices utilizing the company’s proprietary hydrogel technology. The company’s plant-based technology has revolutionized the current standard by stopping traumatic and surgical bleeds in seconds without the need for extended manual pressure. The company's current and future product lines target veterinary, human trauma, and human surgical applications. Cresilon's mission is to save lives. Learn more about the company at . Description: The R&D Engineer I/II is responsible for supporting product design and process development activities while ensuring compliance with all quality and regulatory requirements. The position has a scientific focus that includes implementation of formulation development through process development, prototype fabrication, and characterization, along with additional process evaluation and data generation through designed experiments. Process development in an R&D environment will be followed by qualification and technology transfer into manufacturing. Collaboration is a key aspect of this role, as the engineer will work within a multidisciplinary team of researchers and engineers. The position offers diverse opportunities in a collaborative cross-functional environment, requiring adaptability, flexibility, and a willingness to learn and innovate in the exploration of new technologies, new approaches, and techniques in pursuit of product/process robustness and innovation. The R&D Engineer I/II is expected to possess expertise in areas including, but not restricted to, polymer, chemical, material science, and process development and engineering. Additionally, they will assist in generating documentation essential for regulatory submissions, ongoing publication initiatives, and direct communication with the Head of Research regarding various tasks. This is a full-time, on-site position, located in Brooklyn, New York. This role is an independent contributor role (i.e. no direct reports). Level is dependent on experience. Responsibilities: • Oversee the planning, implementation, and analysis of experiments relevant to project objectives. Ensure the application of established scientific and engineering principles to solve complex problems and challenges innovatively and efficiently, adhering to rigorous scientific methodologies and protocols., • Create and execute product/process enhancement, and new product/process development plans., • Lead material/design/process changes and their implementation with well-documented research/analyses. Process and analyze results,, • Author protocols and reports including engineering studies and design verification/validation activities., • Aid in the development and execution of testing methods to aid in exploratory research, product/process development, and quality control; conduct chemical and mechanical property evaluation tests to assess the desirability of process or formulation changes., • Prepare samples as required for manufacturing, testing, or other evaluations and data analysis., • Participate in voice-of-customer (VOC) labs and other user needs assessments., • Interface with external vendors, customers, and suppliers. Specify equipment and process requirements for developing and implementing new products, product improvement and new equipment/processes., • Support process and product transfers to manufacturing or CDMOs., • Maintain a laboratory notebook and other technical documentation according to required GLP/GMP guidelines., • Understand and prioritize process improvements, design experiments to make those improvements, and execute these plans in the laboratory., • Maintain active dialogue with Regulatory Affairs as subject matter expert on all product design elements/documentation about research towards FDA/regulated authority submissions., • Provide support to the marketing and sales team, with the development of presentations, sales tools, and application data., • Work with company leadership to evaluate existing research practices and contribute to a culture of ethical, high-quality research operations within the organization. Required Qualifications • Education: BS in Chemical Engineering, Polymer Engineering, Material Science & Engineering, or related engineering discipline., • Minimum 4+ years previous experience in an industrial environment with a BS degree. (2 years minimum experience if advanced degrees)., • Proficiency as an adept experimentalist with hands-on experience in the product and process development of polymeric materials and their characterization in an R&D or manufacturing environment., • Mathematically inclined with strong analytical and problem-solving skills with the ability to be observant and to think creatively. Demonstrated ability to design experiments and analyze data with the use of appropriate quality and statistical methodologies. Demonstrated ability to work independently as well as be a strong team contributor. Ability to effectively work within a team and cross-functionally to expedite the completion of critical project tasks., • Requires understanding of product/process design and engineering. Experience should include process development/validation and/or transfer/verification, protocols, and troubleshooting skills., • Ability to handle multiple project assignments of medium scope and complexity and able to prioritize and complete work with a sense of urgency on time., • Ability to lead directly and by influence, including strong problem-solving, conflict resolution, and analytical skills., • Working knowledge of Good Documentation Practices (GDP) and Good Manufacturing Practices (cGMP) requirements., • Proficiency in the use of Microsoft Office, Microsoft Excel, Microsoft Word, Microsoft PowerPoint is required., • Requires excellent written and verbal communication and presentation skills., • Legal authorization to work in the United States is required., • Physical Requirements include:, • Aseptic Gowning Qualification: Able to be successfully qualified for aseptic gowning, including successful respirator training., • Wear Appropriate Personal Protective Equipment (PPE):, • Be able to stand and walk for prolonged periods, with the ability to climb, balance, stoop, bend, reach, and handle equipment., • Ability to speak, listen, and understand verbal and written communication., • Possesses hand-eye coordination and manual dexterity for delicate manipulations., • Ability to lift up to 50 pounds occasionally and to carry, push, pull, or otherwise move objects., • Visual acuity is required for performing close and distant activities. Preferred Qualifications • An advanced technical degree (MS or PhD)., • ·Lab experience in an industry setting within cGMP-regulated environments., • Prior experience developing processes and scaling these up into manufacturing or CDMO, • Mechanical/electrical knowledge with the ability to troubleshoot processing equipment, • Six Sigma green belt or black belt certification preferred., • Experience implementing process and quality improvements in a manufacturing environment, • Work experience with the medical device or pharmaceutical industries, • Working knowledge of ISO 9001, ISO 13485:2003 and ISO 14971:200., • Working knowledge of FDA requirements as per 21 CFR 820. Cresilon is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Cresilon makes hiring decisions based solely on qualifications, merit, and business needs at the time. Benefits • Competitive annual base salary range of $70,000 - $120,000, depending upon job level and qualifications, • Paid Vacation, Sick, & Holidays, • Monthly MetroCard Reimbursement, • 401(k) & Roth Retirement Savings Plan with company match up to 5%, • Work/Life Employee Assistance Program, • Company Paid Life and Short-Term Disability Coverage, • Medical, Dental, and Vision Insurance, FSA: Dependent & Healthcare, Commuter & Parking Benefits, Long Term Disability Coverage

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview: We are seeking highly motivated Computational Plasma Physicists to join our team, focusing on stellarator and fusion plasma physics simulations. The ideal candidate will possess a strong background in computational physics, with a particular emphasis on MHD stability in stellarators and stellarator optimization. You will work with minimal supervision, contributing to cutting-edge research and development in Thea Energy’s stellarator systems. Key Responsibilities: • Develop and implement algorithms for analyzing and improving stellarator configurations., • Conduct simulations and analysis of fusion plasma behavior in stellarators, using advanced computational models., • Collaborate with cross-disciplinary teams to refine designs and improve the performance of stellarator systems., • Perform data analysis, model validation, and provide insights into the physical mechanisms governing plasma behavior., • PhD in Plasma Physics, Computational Physics, Applied Physics, or a related field, or master’s degree in relevant field with 2+ years of experience., • Strong knowledge of computational plasma physics and numerical simulations., • Experience with stellarators is a plus., • Proficiency in programming languages commonly used in scientific computing (e.g., Python, Fortran, C++, or MATLAB)., • Excellent analytical, problem-solving, and communication skills. Preferred Skills: • Experience with any of the stellarator design, stability or transport codes such as DESC, STELLOPT, VMEC, TERPSICHORE, M3DC-1, GX, GENE-3D., • Understanding of optimized stellarator magnetic field generation and coil optimization techniques., • Experience in high-performance computing (HPC) environments. Personal Attributes: • Ability to work independently and manage projects with minimal supervision., • Strong attention to detail and a passion for advancing the field of fusion energy research., • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally.Company Benefits:, • Salary range $120,000 - $140,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job DescriptionAbout Monstro Monstro is the operating system for governed financial intelligence. We build the infrastructure that enables artificial intelligence to operate safely, explainably, and at institutional scale in highly regulated financial domains. We exist because the level of financial guidance historically available to a small group should be accessible to many more people. By combining AI with deep institutional infrastructure, we help financial institutions deliver more personalized, responsible, and life-changing financial support to millions of individuals. We're building mission-critical systems in a regulated domain, and we care deeply about doing it right. If you're motivated by meaningful problems, high standards, and improving financial outcomes for people who have never had access to them before, you'll feel at home here. About the Role The Senior Wealth Strategy Advisor is a foundational hire. This person is responsible for ensuring that Monstro's financial logic is institution-grade from the outset — correct, complete, and coherent across the full scope of comprehensive wealth management. Financial planning advice built on imprecise logic compounds its errors over time. Tax assumptions that ignore estate implications, investment recommendations blind to income-phase distinctions, estate structures that conflict with insurance positioning — these are not edge cases. They are the daily reality of comprehensive wealth management, and they are precisely what AI systems get wrong first. This role exists to prevent that. You will serve as the internal authority on how Monstro's platform reasons about wealth — not as a reviewer after the fact, but as the architect of the foundational logic itself. You will work directly with Monstro's Founder, who brings deep wealth management and family office experience. This role expands that expertise into durable, scalable guidance that safely governs product behavior over time. Domain Scope You will be the internal authority across five pillars of comprehensive wealth strategy. Cash flow sits at the foundation — it governs what is possible across every other domain. Deep expertise in at least one pillar is required; the ability to reason across all five collectively is essential. • Cash flow — Income, expenses, surplus allocation, debt management, liquidity planning — the foundation that determines capacity across every other domain, • Tax planning — Income tax strategy, Roth optimization, tax-efficient withdrawal sequencing, entity structuring, UHNW tax planning, • Estate planning and legal structures — Trust design, estate tax planning, GRATs, dynasty trusts, business succession, generation-skipping strategies, asset protection, • Financial planning — Cash flow planning, risk management, insurance integration, retirement income architecture, holistic plan construction, • Investments — Asset allocation, portfolio construction, asset location, withdrawal strategy, annuity design, retirement income products What You'll Do Define the financial framework foundation Establish the wealth strategy and provide expertise to the product and engineering team regarding frameworks, principles, and decision guidance that govern how Monstro's platform reasons about complex financial scenarios. Your expertise defines the foundation — what the platform understands, how it weighs tradeoffs, and where it draws boundaries. Articulate wealth strategy in a form teams can act on Translate your financial expertise into clear principles and structured guidance that product teams can work with you to develop into actionable requirements. The goal is articulation — making expert judgment legible and usable for the people responsible for building from it. Model cross-domain dependencies Document and clarify the interactions that most AI systems get wrong: how Roth conversion decisions affect estate tax exposure, how trust structures interact with income tax elections, how insurance product positioning changes with retirement income phase. Surface second- and third-order effects before they compound into downstream errors. Distinguish rules from judgment Identify where structured, rules-based guidance is appropriate and where expert review or human judgment is required. Serve as subject matter expert reviewer Act as the senior subject matter expert reviewer for early advice frameworks, edge cases, and high-stakes planning scenarios. Establish standards for accuracy, completeness, and consistency that withstand institutional scrutiny. Act as expert, challenger, and gatekeeper The most common failure mode in AI-assisted financial guidance is not hallucination — it is plausible-sounding advice that ignores the dependency structure of wealth strategy. You serve as the expert, challenger, and gatekeeper: ensuring that oversimplified or technically incorrect guidance never reaches the platform. What Success Looks Like • Monstro's core financial logic reflects institution-grade wealth strategy rigor that expert reviewers would not find fault with, • Cross-domain interactions — tax ↔ estate ↔ investment ↔ planning ↔ cash flow — are correctly modeled and defensible at every dependency point, • Product and engineering teams have clear, actionable guidance — not ambiguity that forces them to make domain decisions they are not equipped to make, • The financial logic established in this role is precise and complete enough that it does not require structural correction as Monstro grows in scope and complexity, • Every simplification is intentional and documented — tradeoffs are explicit, not artifacts of incomplete modeling What We're Looking For Required credentials (one or more): • JD / Attorney, ideally with tax or estate specialization, • CPA or CPA/PFS, • CFP® combined with an advanced designation (JD, LL.M., AEP®, CPA), • LL.M. in Taxation, • Senior-level experience equivalent to a Wealth Strategist, Advanced Planning Strategist, or senior practitioner at a top financial institution, law firm, accounting firm, or academic institution, • Deep tax expertise with strong understanding of downstream implications across estate, investment, and planning domains, • Demonstrated experience in estate planning and legal structures — trust design, estate tax strategy, business succession, • Broad financial planning background beyond a single specialty — able to reason across the integrated wealth management system The Advanced Planning Strategist: e.g., CPA/JD/AEP® from a major institution, law firm, or accounting firm. Has reviewed complex, multi-domain wealth plans under institutional accountability. Accustomed to the standard of rigor Monstro's platform must meet. The cross-credentialed specialist: e.g., CPA + JD + CFP®, or JD + LL.M. + AEP®. Holds credentials spanning tax, legal, and planning domains simultaneously. Multiple credentials across domains are evidence of the integrated thinking this role requires — not resume decoration The financial framework builder: e.g., prior experience building guidance frameworks, institutional playbooks, or structured advisory systems. Has experience translating expert financial judgment into documented frameworks, structured guidance, or institutional playbooks — whether at a major firm, fintech, or in an advisory capacity. Understands how expertise becomes process. Additional Signals We Value • Published research, authored curricula, or editorial board participation in financial planning or estate planning journals (Journal of Financial Planning, Financial Planning Review, ACTEC Law Journal, NAEPC Journal), • Experience with UHNW or family office complexity — environments where cross-domain planning errors have material consequence, • Prior exposure to AI-enabled financial tools, rules-based platforms, or fintech product development, • Comfort operating as a senior individual contributor without a team of analysts, • Familiarity with the academic literature in comprehensive financial planning, retirement income, estate planning, and behavioral finance Location & Work Model Hybrid — New York City. Preference for candidates based in or willing to work from New York City. Why Monstro? • Ownership & Impact: Shape the future of AI-powered finance—building a category-defining product used by consumers and institutions around the world., • Elite Team: Join a team with leadership that has a track record of scaling companies from early stage to major exits., • Principles-Driven Culture: Work in a culture that values speed, ownership, and impact—what most companies achieve in 90 days, we do in 45., • Comprehensive Compensation Package: Competitive salary, equity, and robust benefits package, including paid health, vision, dental, and disability coverage.Compensation & Benefits, • Base Salary: $250,000 – $295,000 (New York City range), • Equity participation

Qualifications Must-Have PhD or doctoral candidate in Chemistry , Biochemistry , Chemical Engineering , or a closely related field. Position: Chemistry Content Author Type: Contract Compensation: $35–$75/hour Location: Remote Commitment: 10+ hours/week Role Responsibilities Author original chemist

Job DescriptionOur Company Arch is a Series B financial technology company that automates the management of private investments, improving access, understanding, and the human experience of investing across asset classes. Private investments such as venture capital, hedge funds, and private equity, make up roughly 25% of the investment universe. Traditionally, investors, advisors, banks, families, and managers track hundreds of investments in complicated spreadsheets, file folders, and busy inboxes. Not only is this tedious and time-consuming, but it is rife with opportunity for manual data entry errors, inconsistent reporting, and lost information. Enter, Arch. Arch delivers standardized data, documents, and insights in a single platform, avoiding the need to chase information across dozens or hundreds of ‘portals’. Our purpose is to save investors’ time while empowering them to make more informed investment decisions, leading to better financial outcomes. We are a fast-growing, dynamic team of 200+, serving over 400 clients, including several of America’s largest banks, families, and financial institutions. We’ve over doubled the size of the company every year since inception and we are looking to hire in all departments as we scale. The Role As a Software Engineer, you’ll help develop and scale core components of our platform. Your work will support the automation of complex processes, the launch of new product offerings, and the growth of our infrastructure. This is an important role, as your contributions will directly enable technology that could power trillions in investments and drive meaningful impact for our clients. You’ll collaborate closely with fellow engineers, product managers, and other team members to deliver solutions that make a difference in our clients’ investment processes. Your responsibilities will include: * Work with cross-functional teams (product, design, operations, infrastructure) to build and improve application features. * Contribute to both user-facing interfaces and backend services using modern frameworks and technologies. * Help develop reusable software components and APIs that connect front-end and back-end systems. * Write clean, efficient, and reliable code, and learn how to optimize for performance and scalability. * Participate in code reviews and learn best practices from peers and senior engineers. * Assist in designing and implementing systems that are scalable and maintainable across the stack. * Troubleshoot and fix issues across front-end, APIs, and databases. * Gain experience working with multiple programming languages, frameworks, and databases. * Take responsibility for assigned tasks and features, developing an end-to-end understanding of how they work. Reach out to us if you have: * 2+ years of programming experience * Currently has, or is in the process of obtaining a Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience or a PhD in a technical field. * Experience building maintainable and testable code bases A Note about us: All of our full-time roles are based onsite at our New York City office, where our team thrives on in-person collaboration and dynamic teamwork. Being onsite daily enables us to build strong connections, collaborate effectively to solve challenges, and foster an engaging environment focused on shipping product and delivering exceptional service to our clients. We encourage applicants currently located in or willing to relocate to the NYC area to join us in this exciting, hands-on workspace. Some perks of working for Arch include: * Strong Team - You’ll be backed by a strong team that consistently exceeds client expectations and ships new products quickly. * Your work is high impact - Being part of a small team means you have real responsibility and impact from day one. You'll be involved in discussions that drive the growth and direction of our platform from the very beginning. * Product Market Fit - We have strong product market fit, exceptionally low churn, and have grown mostly organically through word of mouth. * Team community and camaraderie - We have enormous trust in each other and always do what we can do to support one another. We're always ready to step in to help. * Great office - we’ve invested in a great space for the Arch team to come together, at 18th and Park in Manhattan (the old Buzzfeed / NYT headquarters). * Lunch is on Us - Grab lunch on us while you’re in the office and take a break to laugh, brainstorm, or just hang out with your teammates over a meal. Compensation Range: $100K - $180K

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job DescriptionCoreWeave 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 You'll Do: As a Staff Software Engineer, you'll shape the backbone of our GPU-driven data centers—powering some of the most advanced workloads in AI and large-scale computing. This isn't just about keeping the lights on; it's about architecting the next generation of reliable, secure, and massively scalable infrastructure. The METALDEV team builds and operates a suite of Go-based services that power large-scale datacenter deployments. These platforms automate complex workflows while providing deep observability and monitoring for tens of thousands of GPU servers and diverse infrastructure components—including CDUs, PDUs, and NVLink switches. Our tooling is designed for next-generation rack systems like NVIDIA GB200 and GB300, as well as a broad range of GPU server platforms. • Provide technical leadership in designing, architecting, and operating large-scale infrastructure services for GPU servers, with a focus on security, reliability, and scalability., • Build and enhance infrastructure services and automation, including inventory management systems and lifecycle management solutions using open source technologies., • Drive strategic direction for infrastructure automation, lifecycle management, and service orchestration, making MetalDev core services more scalable and resilient., • Define best practices for API development (REST/gRPC), distributed databases, and Kubernetes orchestration—while mentoring engineers to follow your lead., • Partner with hardware, software, and operations teams to align infrastructure with business impact., • Contribute to open source communities (e.g., Go, Redfish) through collaboration and technical thought leadership., • Lead and improve CI/CD pipelines for hardware compliance, firmware management, and data systems., • Champion reliability and operational excellence by driving observability (Prometheus/Grafana), production incident response, and continuous service improvement.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., • Working knowledge of Kafka, ClickHouse and CRDB., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $188,000 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, including: • 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 While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only 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: . 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 Do you want to be part of the core team building truly AI-native helpful experiences across the consumer space? Do you want to be at the cutting edge of what is next in the AI space but apply it to something of true value in the real world? At Verneek, we are on a mission to build the most helpful AI that augments the knowledge of anyone, anywhere, at any time! As opposed to the mainstream, we believe that the way to bring domain-general AI to the masses is to apply it one domain at a time, through AIs with deep domain expertise. We were on this journey before it got the hottest thing on the face of the planet! Come join some OGs in this so-called "generative AI" space and invent what is yet to be the future! If you are craving to learn something new every day while working at the cutting edge of AI, or if you are simply not satisfied with your academic AI ambitions anymore, Verneek could be a perfect opportunity for you: a deep-tech AI startup, where you'd get to learn, innovate, and leave your mark every single hour of every day. We are looking for a stellar & highly ambitious AI/NLP researcher as core employees to help build complex AI/NLP models supporting the Verneek AI platform! You'll get to work on fundamental AI research problems, but all grounded on our proprietary AI platform. It is all much more rewarding and influential than working on beating AI benchmarks! :) Every day, you'll get to solve very unique, highly complex, and socially impactful problems. This is an early-stage startup, so we'll be moving super-fast and there will be no legacy obstacles on your way to make a significant impact. Whatever you do every hour of every day counts!! RESPONSIBILITIES MINIMUM QUALIFICATIONS • MSc. or PhD degree in AI/NLP, • 4+ years of experience with Python, • Good grasp of fundamentals and the state-of-the-art in AI/NLP research, • 4+ years experience developing models with machine learning frameworks such as PyTorch, • Work authorization in the USA at the time of hire, • Continuing work authorization during employment can be sponsored by Verneek PREFERRED QUALIFICATIONS • Experience in Natural Language Understanding, Semantic Parsing, Dialogue Systems, • Experience in Transfer Learning and learning with limited data, • Publications in top-tier AI venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, etc., • Demonstrated AI/NLP engineering skillset through having deployed largescale AI/NLP systems to production, • Experience in building models in the commerce/retail domain Benefits Stellar medical, dental, vision, disability, and life insurance Daily private Chef lunch, curated to personal diets Transportation Benefits 401K matching contributions Flexible PTO Visa/Green Card Sponsorship Career growth support through sponsoring learning opportunities and mentorship About Verneek Verneek is an early-stage deep-tech AI startup, based in the NYC area, founded by a team of leading AI research scientists and backed by a group of world-renowned business and scientific luminaries. Our mission is to build the most helpful AI for anyone, anywhere, at anytime. We are obsessed with what we do and we have fun doing it. Read more about verneek here: and make sure to watch all our introductory videos and yearly recaps here: . Verneek Culture It’s often hard to put “culture” into words, perhaps you can get a visual sense of our culture here: . We all obsessively love what we do, care about each other, share all sorts of meals together, celebrate all kinds of events together, and work tirelessly with the excitement of making a difference through AI innovation. We are enjoying the journey, and going through all the ups and downs together. Although we have come a very long way in setting the foundations of our unique company, but we still have ways to go and you can help shape our culture! The core Verneek team plays a crucial role in further shaping the culture of the company moving forward. We are looking for highly ambitious and tremendously driven individuals who can take the lead in driving various aspects of the company, and help us shape its lasting impact. Annual Salary Range: $40K-$200K

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: AI/ML Research Expert Type: Contract Compensation: $80–$90/hour Location: Remote Role Responsibilities • Identify high-impact open questions in AI/ML. Propose transformative breakthroughs that are concrete and tractable., • Build comprehensive knowledge bases for selected questions. Include seminal papers, key datasets, methods, and recent advances., • Assume expertise in all relevant knowledge up to 1st October, 2025., • Synthesize large bodies of literature into clear learning paths. Provide structured reading lists and expert commentary. Must-Have • PhD candidates or PostDocs from top-tier institutions., • Deep expertise in AI/ML/Engineering., • Strong judgment about significance, tractability, and research quality., • Upload resume, • AI interview based on your resume

Job Description Position Description: A client of AlphaStaffHCM is looking for a Software Engineer with deep expertise in Mathematical Optimization and algorithm development. This role is critical in architecting the core software engine that drives our proprietary photonic quantum processors, combining complex mathematical formulations with physical optical hardware feedback. Responsibilities • Design and implement the high-performance C++ runtime and Hardware Abstraction Layer (HAL) for photonic optimization computers., • Profile and optimize critical execution paths to minimize latency, addressing bottlenecks in memory bandwidth, cache locality, and data transfer., • Collaborate with FPGA, Electrical engineers and Firmware engineers to ensure to create, test, and optimize device interfaces., • Develop algorithmic enhancements to usage of quantum feedback to solve NP hard optimization problems more efficiently with higher solution quality., • Write efficient, thread-safe code for concurrent hardware control and real-time signal processing., • Design and implement novel algorithms that map optimization and machine-learning problems onto entropy-based photonic quantum processors, including post-processing pipelines., • Build software layers to decompose and orchestrate large-scale optimization problems across multiple photonic hardware resources. Required Qualifications • 6+ years of experience in software engineering with a focus on systems or HPC., • Strong proficiency in C++ and Python, • Strong mathematical background in Convex Optimization, Quadratic Programming (QP), Mixed-Integer Linear Programming (MILP), or Gradient-Free Methods., • Experience with Numerical Analysis and high-performance math libraries (e.g., BLAS, LAPACK, Eigen)., • Familiarity with protocols (e.g., UART, SPI, gRPC, REST) and software integration., • Strong understanding of performance tuning, memory management, and fault-tolerant design., • Familiarity with Linux system programming and build toolchains (CMake, GCC/Clang)., • Experience working in cross-functional teams involving hardware, physics, and software. Preferred Qualifications • Advanced degree (MS/PhD) in Computer Science, Physics, or Mathematics., • Experience with classical optimization solvers (e.g., CPLEX, Gurobi) or heuristic frameworks., • Familiarity with Open Quantum Systems or optical feedback mechanisms., • Background in Digital Signal Processing (DSP) or control theory., • Knowledge of containerized deployment using Docker. Skills C++, High Performance Computing (HPC), Algorithm Design, Mathematical Optimization,, Multi-threading, Linux, CMake, Python, Performance Profiling, Hardware Abstraction, Signal Processing. Disclaimers: AlphaStaff, Inc. and the Client are equal employment opportunity employers and do not discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, past or present military service, disability, genetic information, or any other basis protected by applicable federal, state, or local laws.

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job DescriptionCompany Description Veolia in North America is the top-ranked environmental company in the United States for three consecutive years, and the country’s largest private water operator and technology provider as well as hazardous waste and pollution treatment leader. It offers a full spectrum of water, waste, and energy management services, including water and wastewater treatment, commercial and hazardous waste collection and disposal, energy consulting and resource recovery. Veolia helps commercial, industrial, healthcare, higher education and municipality customers throughout North America. Headquartered in Boston, Veolia has more than 10,000 employees working at more than 350 locations across North America. Job Description Student Exploration and Experience Development (SEED) is a 12-week internship opportunity at Veolia for students to gain hands-on experience in sustainability and ecological transformation. They will work on real-world projects, receive mentorship from industry professionals, and participate in workshops and networking events. The program aims to nurture talent, promote innovation, and foster meaningful connections between students and industry professionals. Overall, the SEED program provides students with the skills, knowledge, and connections needed to make a positive impact in the industry. Program Dates: June 1, 2026 to August 21, 2026. Position Purpose: We are seeking a motivated AI Engineering intern to support the development and implementation of an AI-powered agent for This role offers hands-on experience with cutting-edge Small language models, cloud infrastructure, and enterprise software development. Primary Duties/Responsibilities: • Small Language Models (SLMs):, • Understanding and working with lightweight models such as Phi-3 (Microsoft), Llama(Meta), Mistral (Mistral), Gemma (Google), and TinyLlama (for resource-constrained environments)., • Design Phase:, • Requirements Gathering: Using Figma for UI/UX design and workflow planning., • Data Analysis: Utilizing Jupyter Notebooks and pandas for data exploration, cleaning, and analysis., • Model Selection: Leveraging Hugging Face Model Hub to compare, select, and download pre-trained models., • Development Framework:, • Core Framework: Building SLM-powered applications using LangChain or Lanngraph for orchestration and workflow management., • Model Serving: Deploying models locally with Ollama or at scale with vLLM for efficient inference., • Vector Database: Implementing semantic search and retrieval-augmented generation (RAG) using ChromaDB., • API Framework: Developing RESTful APIs with FastAPI (Python) or Express.js (Node.js) to expose model functionality, • Development Tools:, • IDE: Coding in VS Code, ideally with Python and Copilot extensions for productivity., • Model Fine-tuning: Customizing models using Hugging Face Transformers and parameter-efficient fine-tuning (PEFT) methods like LoRA/QLoRA., • Prompt Engineering: Managing and optimizing prompts with LangSmith or PromptLayer., • Version Control: Tracking code and data changes with Git and DVC (Data Version Control)., • Experiment Tracking: Logging experiments, metrics, and results with MLflow or Weights & Biases., • Testing Stack:, • Unit Testing: Writing and running tests using pytest or unittest to ensure code correctness., • Model Evaluation: Assessing model performance with RAGAS (for RAG pipelines) and DeepEval., • Load Testing: Simulating high-traffic scenarios using Locust or Apache JMeter., • Quality Assurance: Using LangChain Evaluators and custom metrics to ensure output quality and reliability., • Deployment Stack:, • Containerization: Packaging applications with Docker or Docker Compose for portability and reproducibility., • Orchestration: Managing and scaling containers with Kubernetes (K8s) or Docker Swarm., • Model Optimization: Accelerating inference and reducing resource usage with ONNX Runtime, OpenVINO, or llama.cpp., • API Gateway: Managing and securing APIs with Apigee., • Observability: Monitoring application and model performance with LangSmith., • CI/CD: Automating build, test, and deployment pipelines with GitHub Actions or GitLab CI., • Infrastructure Options:, • On-Premise: Deploying solutions on local servers with GPU or CPU resources., • Cloud: Utilizing GCP (Vertex AI) for scalable, managed AI infrastructure., • Hybrid: Integrating edge devices for local inference with cloud backup for resilience and scalability., • Environments vary by intership function from office to field to plant., • Our aim is to provide tangible industry job experience to each intern.Qualifications Education/Experience/Background: • Working towards a PhD degree and you have in AI/ML/Computer Science., • Strong communication skills, including written, verbal, listening, presentation and facilitation skills., • Demonstrated ability to build collaborative relationships. Additional Information Pay Range: $21.00 to $25.00 per hour. Benefits: Interns are considered temporary employees. Medical and basic life insurance coverage is available to temporary employees scheduled to work 20 or more hours per week immediately following 60 days of service. Employees must elect or waive medical coverage within 45 days of their eligibility date. Veolia observes 11 holidays. We are an Equal Opportunity Employer! All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, subject to applicable law.

Job Description About the Company: Our client is a company building the world's highest- performance pure digital AI inference chip. We are looking for an experienced software engineer with excellent C/C++ programming skills and at least 5 years of related work experience. The ideal candidate should have a strong background in software design, debugging, and performance analysis, and a deep understanding of system level architecture. Key Requirements: • Degree in Computer Science, Computer Engineering, or related discipline, • Excellent C/C++ programming skills, • Strong experience in software design, debugging, and performance analysis, • Deep understanding of system level architecture, • Experience with Linux driver or Linux Kernel development, • Ability to work independently and lead development efforts, • Minimum 5 years of software engineering or related work experience, • Masters or PhD in Computer Science, Computer Engineering or a related discipline, • Experience with Python and using C/C++ libraries from Python (e.g. using Cython), • Focus on software quality and testing, • Experience architecting low and high level APIs, • Proficient in a variety of development styles and programming languages, • Ability to build projects from the ground up, • Comfortable working within a rapidly evolving project, • 20 vacation days, • Strong health and extended health benefits, • Unlimited sick days

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: Computer Science Content Author/Reviewer Type: Contract Compensation: $35–$75/hour Location: Remote Commitment: 10+ hours/week Role Responsibilities • Author original computer science questions that test deep conceptual understanding, not surface-level recall., • Ensure questions are unambiguous, self-contained, and precisely defined with all necessary information in the problem statement., • Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above)., • Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers., • Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format., • Supply 1–5 academic references per question from reputable sources like peer-reviewed journals or university repositories. Must-Have • PhD or doctoral candidate in Computer Science, Electrical Engineering, or a closely related field., • Master's degree considered for candidates with exceptional depth in a specific subdomain., • Strong command of graduate-level CS theory, algorithms, systems design, and/or machine learning., • Upload resume, • AI interview based on your resume

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. 🏗️ The Role: Legal and Product Engineer 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." What you’ll own: * AI Output Engineering: Partner with our AI researchers 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. 💡 About Solve Intelligence We’re the fastest-growing startup transforming the IP industry. * Traction: 20-30% MoM revenue growth; selling to 200+ 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. 👋 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. * 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. 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. * Coder-Lite: Familiarity with Python or a background in software development. * Visionary: A deep belief that AI will fundamentally redefine the legal landscape. 🎁 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. * Support: Full visa sponsorship and private medical insurance. * The Environment: Free meals and a seat at the table with an incredibly smart, ambitious team. Ready to define the future of Intellectual Property? Apply now. 🚀 Compensation Range: $100K - $220K

Job Description Seeking PhD holders, doctoral candidates, and exceptional Masters graduates in chemistry and related fields to join a high-impact AI research initiative in collaboration with a leading artificial intelligence lab. Key Domain Here is a list of domains. If you belong to or have expertise in one or more of them, feel free to apply -- were excited to have you on the team! Core Chemistry Disciplines: General Chemistry, Inorganic Chemistry, Organic Chemistry, Physical Chemistry Analytical and Specialized Chemistry: Analytical Chemistry, Electrochemistry, Radiochemistry, Polymer Chemistry Biological and Medicinal Chemistry: Biochemistry and Molecular Biology, Medicinal Chemistry Chemical Engineering and Process Sciences: Chemical Engineering and Technology, Fluid Flow and Heat Transfer in Chemical Engineering, Mass Transport and Separation Processes, Chemical Reaction Engineering Key Responsibilities • Evaluate the scientific accuracy, reasoning, and technical rigor of LLM-generated content across chemical disciplines., • Identify and document factual inaccuracies, logical inconsistencies, and reasoning gaps., • Provide structured feedback and benchmarking using specialized evaluation tools., • Work independently and asynchronously as part of a distributed research team. Requirements PhD (candidate/recipient) or Masters in Chemistry, Chemical Engineering, Biochemistry, or a closely related field. Strong command of graduate-level chemistry concepts and scientific problem solving. Excellent written communication and analytical thinking skills. Ability to work independently in a remote, asynchronous environment. Role Details Part-time contract Role(20 hour/week) Remote and asynchronous Flexible schedule Compensation $20$30/hour, based on expertise and domain experience Weekly payments via Stripe Connect

Job DescriptionTagup is a Series A defense technology company, founded at MIT, that is delivering logistics decision advantage with next-generation AI. It all started on a balcony at MIT, with an idea about monitoring asset data via the cloud using passive RFID tags (TAG) - sent up (UP) to the cloud. Our product Manifest— is the operating system for the physical world. We’re a team of engineers and data scientists driven by our mission to use reinforcement learning and probabilistic modeling to optimize military logistics and critical infrastructure, ensuring our customers get the best performance they can out of the resources. You make a real world impact where your code won't just optimize a shopping cart or a compute primitive. It will optimize supply chains for the U.S. military and prevent catastrophic failures in critical infrastructure. We do not use proprietary tooling or build systems and deployment pipelines. We build on modern, open standards you can apply in any space. You won't just own a slice of a service. You will own entire architectural domains—from API design and data modeling to deployment and monitoring strategies. You’ll work directly with PhD-level data scientists and former special operators. We value high-velocity decision-making over "approval chains." The Role You know how to operate at scale. You live by ownership and bias for action. But working within the confines of a massive company or cloud provider, your scope is often limited to a single service, proprietary internal tooling, and endless operational reviews. This is a "0 to 1" role. We don't need you to maintain a legacy service with 10 years of tech debt. We need you to architect the core platform that ingests, processes, and acts on billions of data points from the physical world. It's an opportunity to escape the service team grind.What You’ll Build • Tagup AI Agent: Optimize complex NL queries and time-series data storage to ensure sub-second latency for our AI models., • Core Architecture: Design and implement high-performance REST APIs and microservices that power the Manifest platform., • Data Ingestion at Scale: Build the "nervous system" of our platform—robust ETL pipelines that ingest high-frequency sensor data from diverse industrial assets., • Operational Excellence: Bring your "Bar Raiser" mentality to our infrastructure. Implement sophisticated monitoring, alarming, and automated CI/CD pipelines to ensure 99.99% availability without the bureaucracy.Required Skills, • You treat architecture as an evolving being that morphs as customers scale and storage/compute/security needs change., • You understand "Scale" vs. "Complexity": You know that scale isn't just about TPS; it's about handling complex data relationships., • You want to mentor: You are ready to take the "Tech Lead" mantle, mentoring junior engineers and setting the standard for code quality and design patterns.The Tech Stack, • AI: pyro, torch, MCP, Langchain using Claude., • Languages: Python (FastAPI, SQLAlchemy, Pandas) – We value your software engineering fundamentals and ability to learn over which specific languages you have experience in., • Data: PostgreSQL, Redis.

Job Description About the Company: Our client is a company building the world's highest- performance pure digital AI inference chip. They are seeking a Software Architect to lead their software efforts and advance the software stack that includes ML frameworks, compilers, libraries, and runtime. As a Software Architect, you will be responsible for designing and developing software that interacts with their chip, collaborating with hardware and software engineers, and optimizing software for highly parallel architectures to maximize performance and efficiency. Responsibilities: • Advance the state of the art in compiler and runtime technology for delivering high-performance acceleration of AI workloads across a variety of neural network architectures., • Research and design new software and hardware AI solutions, involving simulators, optimizing compilers, code generators, and runtime execution frameworks for deep learning accelerators., • Evaluate various trade-offs of different parallelization strategies such as performance, power, energy, and memory consumption., • Enhance AI software tools to support the latest and greatest DNNs emerging from the research community and industry., • Keep up with the fast-paced development happening in the industry and academia to continuously enhance our products., • Work closely with other software and hardware engineers to develop the next generation of deep learning software., • 10+ years of experience developing software for a variety of highly parallel architectures., • Previous roles include experience with optimizing algorithms for hardware acceleration machine learning accelerators, spatial architectures, or GPUs., • Strong problem-solving skills and the ability to resolve complex issues with a high level of ambiguity., • Understanding of Deep Learning fundamentals., • Strong development skills in C/C++, Python., • Superb soft skills: ability to work efficiently and effectively in a group environment, and influence a cross-functional team without having direct managerial authority., • Computer Science, Engineering, or related degree; preferably MS or PhD., • 20 vacation days, • Strong health and extended health benefits, • Unlimited sick days

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: Computer Science Content Author/Reviewer Type: Contract Compensation: $35–$75/hour Location: Remote Commitment: 10+ hours/week Role Responsibilities • Author original computer science questions that test deep conceptual understanding, not surface-level recall., • Ensure questions are unambiguous, self-contained, and precisely defined with all necessary information in the problem statement., • Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above)., • Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers., • Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format., • Supply 1–5 academic references per question from reputable sources like peer-reviewed journals or university repositories. Must-Have • PhD or doctoral candidate in Computer Science, Electrical Engineering, or a closely related field., • Master's degree considered for candidates with exceptional depth in a specific subdomain., • Strong command of graduate-level CS theory, algorithms, systems design, and/or machine learning., • Upload resume, • AI interview based on your resume

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: Chemistry Content Author Type: Contract Compensation: $35–$75/hour Location: Remote Commitment: 10+ hours/week Role Responsibilities • Author original chemistry questions that test deep conceptual understanding. Ensure questions are unambiguous, self-contained, and precisely defined., • Rate each question's difficulty level: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above)., • Provide one correct answer and nine plausible but subtly incorrect alternatives to challenge expert-level solvers., • Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format., • Supply 1–5 academic references per question from reputable sources such as peer-reviewed journals or university repositories. Must-Have • PhD or doctoral candidate in Chemistry, Biochemistry, Chemical Engineering, or a closely related field., • Master's degree considered for candidates with exceptional depth in a specific subdomain., • Strong command of graduate-level chemistry concepts, reaction mechanisms, and quantitative analysis.

Job DescriptionCompany Description Veolia in North America is the top-ranked environmental company in the United States for three consecutive years, and the country’s largest private water operator and technology provider as well as hazardous waste and pollution treatment leader. It offers a full spectrum of water, waste, and energy management services, including water and wastewater treatment, commercial and hazardous waste collection and disposal, energy consulting and resource recovery. Veolia helps commercial, industrial, healthcare, higher education and municipality customers throughout North America. Headquartered in Boston, Veolia has more than 10,000 employees working at more than 350 locations across North America. Job Description Student Exploration and Experience Development (SEED) is a 12-week internship opportunity at Veolia for students to gain hands-on experience in sustainability and ecological transformation. They will work on real-world projects, receive mentorship from industry professionals, and participate in workshops and networking events. The program aims to nurture talent, promote innovation, and foster meaningful connections between students and industry professionals. Overall, the SEED program provides students with the skills, knowledge, and connections needed to make a positive impact in the industry. Program Dates: June 1, 2026 to August 21, 2026. Position Purpose: We are seeking a motivated AI Engineering intern to support the development and implementation of an AI-powered deep research agent for This role offers hands-on experience with cutting-edge large language models, cloud infrastructure, and enterprise software development. Primary Duties/Responsibilities: • Large Language Models (LLMs):, • Understanding and working with commercial/proprietary LLMs such as Gemini( Google), GPT(OpenAI) and Claude Sonnet (Anthropic)for high performance, large context, and multimodal tasks., • Familiarity with open-source/self-hosted LLMs like Llama from Meta and Mixtral from (Mistral AI)., • Design & Planning Phase:, • Requirements Gathering: Using Confluence for documentation and collaboration., • Architecture Design: Creating system diagrams and workflows with Lucidchart., • Prototyping: Designing UI/UX prototypes in Figma., • Project Management: Tracking tasks and progress in Jira., • Data Preparation & Management: Cleaning, transforming, and organizing data for use in AI/ML workflows., • Development Framework & Tools:, • Core LLM Frameworks: Using LangChain or LlamaIndex for orchestrating LLM applications., • Agent Frameworks: Building multi-agent systems with Semantic Kernel, CrewAI, and LangGraph., • Prompt Management: Managing and optimizing prompts with LangSmith., • Vector Databases & Search:, • Implementing semantic search and retrieval using Vertex AI Vector DBs, • Backend Development:, • API Framework: Developing RESTful APIs with FastAPI (Python)., • Message Queue: Integrating asynchronous communication with Apache Kafka and Redis Streams., • Frontend Development:, • Web Framework: Building user interfaces with React or Angular., • UI Components: Utilizing Material-UI for consistent, modern UI elements., • IDE: Using Google AI Studio for AI application development., • Development Tools:, • IDE: Writing and debugging code in VS Code., • AI Assistants: Leveraging GitHub Copilot and Cursor for code suggestions and productivity., • Version ControlManaging code with GitHub, or GitLab., • Code Quality: Ensuring code quality and standards with SonarQube, ESLint, and Pylint., • Model Fine-tuning & Customization:, • Fine-tuning Platforms: Using Vertex AI Tuning for model customization., • Training Frameworks: Training and experimenting with models in PyTorch, TensorFlow, or JAX., • Efficient Training: Applying parameter-efficient fine-tuning (PEFT) methods like LoRA and QLoRA., • Synthetic Data: Generating synthetic data., • Evaluation: Assessing models with HELM, lm-evaluation-harness, and custom benchmarks., • Testing Stack:, • LLM-Specific Testing: Using RAGAS, and DeepEval for LLM evaluation; LangSmith Evaluators for prompt testing; hallucination detection., • Deployment & Infrastructure:, • Containerization: Packaging applications with Docker., • Orchestration: Managing containers at scale with Kubernetes and Google GKE., • Cloud Platforms:, • Using Google Cloud Platform (GCP) services such as Vertex AI for ML, GKE for Kubernetes, Cloud Run for serverless deployment, and Cloud Functions for event-driven tasks., • LLM-Specific Monitoring:, • LLM Observability: Monitoring LLM performance and usage with LangSmith and Weights & Biases., • Cost Tracking: Monitoring and optimizing costs with OpenMeter and custom dashboards., • Quality Monitoring: Setting up continuous evaluation pipelines to ensure model quality and reliability., • Environments vary by internship function from office to field to plant., • Our aim is to provide tangible industry job experience to each intern.Qualifications Education/Experience/Background: • Working towards a PhD degree and you have in AI/ML/Computer Science., • Strong communication skills, including written, verbal, listening, presentation and facilitation skills., • Demonstrated ability to build collaborative relationships. Additional Information Pay Range: $21.00 to $25.00 per hour. Benefits: Interns are considered temporary employees. Medical and basic life insurance coverage is available to temporary employees scheduled to work 20 or more hours per week immediately following 60 days of service. Employees must elect or waive medical coverage within 45 days of their eligibility date. Veolia observes 11 holidays. We are an Equal Opportunity Employer! All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, subject to applicable law.

Qualifications Must-Have PhD or doctoral candidate in Engineering or a closely related field. Strong command of graduate-level engineering principles , applied mathematics , and domain-specific standards. Professional engineering licensure ( PE ) or industry experience is a strong plus.

Some type of educational training in audio engineering.