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Master’s or PhD in Electrical Engineering, Computer Engineering, or related field (or equivalent experience). The Principal Systems Engineer (Technical SME) provides senior technical leadership for U. Provide technical leadership for captures, proposals, and complex programs as Chief Engineer or T

physics research analysisscientific writingcritical thinkingproblem-solvingdata analysisquestion and exam creationremote collaborationtime managementanalytical reasoningtechnical document synthesisai training content developmentinterdisciplinary teamworkattention to detailindependent workdigital content creationmicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Physics Expert Job Type: Contractor Location: Remote Rate: 20$-50$ per task Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Thoroughly analyze, interpret, and summarize complex physics documents and research papers., • Create and review high-quality questions and problems related to diverse physics topics for AI model training., • Extract key data, perform detailed computations, and validate analytical solutions in various physics domains., • Deliver clear, concise written explanations and rationales for technical problems and solutions., • Collaborate with a multidisciplinary remote team while maintaining independence in daily work., • Leverage your specialist expertise to ensure accuracy and depth in all content generated or reviewed., • Maintain a high standard of quality and consistency while meeting ongoing deadlines. Required Skills and Qualifications: • 2+ years of professional experience in physics or a closely related field, either in academia or a lab/workplace setting., • Exceptional written and verbal English communication skills, with strong attention to detail., • Proven ability to read, analyze, and synthesize technical documents and research literature., • Demonstrated experience creating, editing, or reviewing scientific questions, exams, or technical exercises., • Ability to work independently and proactively with minimal supervision in a remote setting., • Excellent critical thinking and analytical skills for data evaluation and problem solving., • Strong time management abilities to handle multiple tasks efficiently. Preferred Qualifications: • Advanced degree (MSc, PhD) in Physics or a related discipline., • Experience interfacing with AI, EdTech, or digital content creation projects., • Familiarity with interdisciplinary scientific analysis and collaborative workflows.

$100 - $200/hourpaytrauma-informed careclinical assessmentcase analysisethical decision-makingcontent developmentfeedback and evaluationyouth abuse expertisecross-disciplinary collaborationprivacy and confidentialityiterative review processesmicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Role Title: Child & Youth Abuse Trauma Specialist Role Type: Contractor Location: Remote micro1 is engaging mental health professionals to contribute their specialized knowledge to a high-impact customer project focused on supporting vulnerable youth. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity is ideal for clinical experts deeply committed to working with young abuse survivors, especially those who have made this their primary clinical focus. You will play a key part in ensuring nuanced, accurate, and sensitive representation of mental health challenges faced by youth abuse victims. Scope of Work • Analyze and contribute to case-based scenarios reflecting the complexities of youth abuse victimization., • Review, assess, and provide feedback on model-generated mental health guidance related to abuse cases., • Develop and curate content outlining best practices for trauma-informed care for young abuse survivors., • Identify gaps or inaccuracies in AI-generated responses from a clinical and ethical perspective., • Collaborate with cross-disciplinary teams to ensure deliverables reflect current standards in mental health care for abuse victims., • Participate in iterative review cycles, offering insights to refine and improve training data quality., • Document recommendations to enhance system sensitivity, accuracy, and safety for vulnerable populations. Preferred Qualifications • MD, PhD (psychology), or PhD (social work) with completed credentials., • Extensive clinical experience working with youth who are victims of abuse, with a primary or exclusive focus in this area., • Demonstrated expertise in trauma-informed practices and interventions for young survivors., • Active clinical engagement in the field, dedicating the majority of working time to supporting abuse victims., • Commitment to upholding ethical standards and safeguarding participant privacy and well-being.

biological data analysisscientific reading comprehensionassessment and question creationwritten and verbal communicationremote team collaborationmicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Biology Expert Job Type: Contractor Location: Remote Rate: 20$-50$ per task Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Analyze technical documents and extract key information relevant to your domain expertise, • Generate, review, and refine questions and solutions based on real-world mechanical engineering scenarios, • Collaborate with multidisciplinary teams to ensure accuracy and depth of data and analysis, • Provide detailed written and verbal feedback on document clarity, technical accuracy, and effectiveness, • Apply advanced subject matter knowledge to evaluate and solve complex engineering problems, • Work independently, managing your time to deliver high-quality outputs with minimal supervision, • Contribute to the continuous improvement of data quality and project processes Required Skills and Qualifications: • 2-6 years of professional or academic experience in mechanical engineering or a closely related field (lab, workplace, or academia), • Strong reading comprehension skills, with proven ability to analyze and interpret technical documents, • Exceptional English communication skills, both written and verbal, • Demonstrated experience in creating or evaluating technical content, such as reports, studies, or problem sets, • Ability to work independently and efficiently, with excellent self-management, • High attention to detail and commitment to data accuracy, • Experience interfacing with technical documentation and performing analytical tasks Preferred Qualifications: • Advanced degree (Master’s or PhD) in Mechanical Engineering, Chemistry, Physics, or Biology, • Previous experience contributing to interdisciplinary or research-driven projects, • Familiarity with data-driven analysis or training data preparation Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. Key Responsibilities: • Analyze, review, and interpret complex biological documents, research papers, and data sets to create high-quality assessment content., • Formulate and vet biology-related questions focused on data retrieval, computation, and critical analysis., • Deliver clear explanations and detailed feedback to enhance AI model understanding., • Collaborate with a remote, interdisciplinary team to ensure ongoing content accuracy and quality., • Contribute domain-specific expertise to support the continuous improvement of AI systems., • Work independently to meet deadlines and achieve high productivity with minimal supervision., • Uphold rigorous standards for written and verbal communication in English. Required Skills and Qualifications: • Minimum 2 years of professional experience in biology, either in academia, laboratory settings, or relevant industry roles., • Demonstrated ability to analyze and synthesize complex biological information from diverse sources., • Strong written and verbal English communication, with an emphasis on clarity and detail., • Excellent reading comprehension, particularly in interpreting research and technical documents., • Experience creating or reviewing problem sets, assessments, or scientific analyses., • Ability to work autonomously and efficiently in a remote environment., • High attention to detail and commitment to quality. Preferred Qualifications: • Advanced degree (Master’s or PhD) in Biology or closely related field., • Experience collaborating with multidisciplinary teams or involvement in cross-functional projects., • Familiarity with computational biology or data analysis tools.

THE ROLE We seek a seasoned Credit Quant. You will work in a collaborative environment alongside traders, quants and seasoned software engineers. You will gain exposure to numerous teams across time zones and have the chance to grow within a high functioning team. • Research and implement new trading strategies, • Analyze existing strategies to identify potential improvements, • Develop risk models and frameworks to manage portfolio risks, • Create tools to automate research tasks and improve visualization of complex data sets THE CANDIDATE • Strong knowledge of credit products and managing fixed income risk, • We are open to looking at various profiles from both buy and sell side, • Strong knowledge of credit products and managing fixed income risk, • Advanced degree (preferably PhD) in Science, Math, Engineering or other quantitative field, • Ability to express ideas mathematically and algorithmically, • Programming skills (especially C/C++ and Python)

Quantitative Research Analyst — Global Macro We are seeking a Quantitative Research Analyst to work directly with a global macro portfolio manager focused on G3 rates relative value, rates volatility, inflation, and global FX. This is an applied research role for someone who combines exceptional quantitative ability with strong hands-on programming skills. The analyst will conduct medium-term research intended to improve existing investment models, evaluate new trading ideas, and develop new quantitative tools and signals. The role does not require prior experience in rates, FX, or even finance. We are open to candidates from hedge funds, banks, asset managers, technology companies, academia, and other quantitatively rigorous environments. What matters most is the ability to think independently, work effectively with real-world data, and turn a theoretical idea into a practical and testable result. Responsibilities • Conduct applied quantitative research across rates, rates volatility, inflation, and FX., • Evaluate academic papers, technical articles, and other research for potential investment applications., • Translate research ideas into testable hypotheses, models, signals, and analytical tools., • Source, organize, clean, and analyze large or complex datasets., • Implement, debug, backtest, and improve quantitative models in Python., • Research ways to improve existing investment processes and identify new sources of return., • Present findings clearly, discuss results with the portfolio manager, and incorporate feedback., • Independently propose new research projects and take ownership of their execution., • Build practical research tools and user interfaces when needed. Qualifications • Five-plus years of relevant professional, academic, or research experience. PhD and postdoctoral work may count toward this requirement., • Excellent quantitative reasoning and demonstrated intellectual ability., • Strong Python programming skills, including hands-on experience working with data, implementing models, and debugging research code., • Ability to take an ambiguous question or theoretical concept through the full research process, from data collection to implementation and evaluation., • Experience conducting independent, original research., • Practical and results-oriented approach; able to distinguish interesting theory from research that can be implemented and used., • Strong communication skills and the ability to work closely with a portfolio manager., • Ability and willingness to work in person Helpful but not required • PhD or advanced degree in mathematics, statistics, physics, computer science, engineering, economics, or another quantitative discipline., • Experience with financial markets, systematic research, relative-value strategies, or time-series data., • Familiarity with rates, derivatives, volatility, inflation, or FX., • Experience developing research interfaces or tools. This role is particularly well suited to someone who enjoys reading and understanding technical research, determining whether an idea has a practical application, and then doing the detailed work required to implement and test it.

What You’ll Do • Design and build responsive frontend components using TypeScript and Vue., • Develop reliable backend services and APIs using Python., • Create catalogs and registries for prompts, agents, skills, and MCP tools., • Improve registry APIs that support engineering teams and AI-powered products., • Lead features through the complete development lifecycle—from design and architecture to deployment, documentation, user support, and iteration., • Contribute to scalable, fault-tolerant, and distributed system designs., • Integrate applications with platforms and services such as PostgreSQL, Redis, S3, Kafka, RabbitMQ, AWS, and Databricks., • Clearly present technical solutions, progress, and outcomes to engineering, product, and user-facing stakeholders. Required Qualifications • At least four years of experience building production-ready frontend applications using Vue or TypeScript., • Strong backend development experience using Python., • Experience working with relational databases and writing SQL., • Demonstrated contributions to system design and software architecture., • Understanding of scalable, fault-tolerant, and distributed systems., • Ability to independently lead features from initial design through production deployment., • Strong communication and collaboration skills., • Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, a related discipline, or equivalent professional experience. Preferred Qualifications • Experience developing AI, LLM, prompt engineering, or agentic workflow platforms., • Familiarity with PostgreSQL, Redis, and S3., • Experience with Kafka, RabbitMQ, or other messaging technologies., • Exposure to AWS, Databricks, or enterprise data platforms., • Familiarity with NumPy, Pandas, Scikit-learn, NLTK, or Dask., • Experience designing APIs, registries, catalogs, or developer platforms., • Ability to translate complex technical capabilities into intuitive experiences for non-technical users.

Sustainability in fashion and textiles requires rethinking how raw materials are designed and produced. A circular industry needs alternatives to synthetic fibers and new ways to recover value from materials that would otherwise go to waste. At Finiks Forge, we give protein waste new life as regenerated material for the textile industry. Drawing on biomolecular self-assembly, we develop materials that build on the remarkable properties of natural fibers. Our work is supported by a National Science Foundation SBIR award and partners across the textile supply chain. We are seeking a Senior Research Scientist to lead the molecular and formulation science behind regenerated keratin materials across extraction, purification, formulation, and processing. This is a hands-on laboratory role for an independent scientist who can connect protein structure, molecular interactions, and formulation behavior to reproducible fiber properties. The position is based on-site in Brooklyn, New York, and reports directly to the CEO. What You Will Lead • Design and execute independent research programs, lead the technology roadmap, and supervise an Associate Scientist responsible for controlled fiber-production trials and quantitative characterization., • Develop keratin extraction, purification, modification, stabilization, and formulation protocols that preserve or control molecular structure while improving processability and fiber performance., • Establish protein structure–formulation–process–property relationships linking molecular organization, intermolecular interactions, extraction conditions, and formulation parameters to spinnability, fiber morphology, stress–strain behavior, and wet stability., • Scale processes from bench experiments to pilot batches, addressing mixing, heat and mass transfer, filtration, solvent recovery, process safety, and batch-to-batch reproducibility., • Design comparative experiments that separate effects of protein structure, formulation, and spinning conditions; use replicate fiber measurements, design of experiments, and statistical analysis to set priorities., • Develop analytical methods and specifications for protein molecular properties, concentration, rheology, stability, and final fiber performance; select methods that reveal causes of mechanical defects., • Troubleshoot complex chemical and process failures, determine root causes, and communicate evidence-based recommendations., • Contribute to invention disclosures, patent applications, trade-secret documentation, grant reporting, and technical presentations., • Direct the Associate Scientist’s fiber-production trials: set experimental priorities, review spinning and stress–strain data, diagnose defects, and translate results into extraction and formulation decisions. Coordinate specialized scale-up work with external partners. Required Qualifications • PhD in chemistry, polymer science, chemical engineering, biomaterials, materials science, or a closely related field, with relevant postdoctoral or industrial experience; or a master's degree with substantial industrial R&D experience., • Experience supervising or mentoring junior scientists and translating research objectives into clear experimental priorities., • Demonstrated ability to independently design, execute, analyze, and document chemistry or materials-development experiments., • Hands-on expertise in protein or structural-biopolymer chemistry, including folding or higher-order structure, molecular interactions, solution preparation, formulation, modification, stabilization, and structure–property relationships., • Hands-on experience with extraction, purification, filtration, concentration, solution preparation, and formulation of polymers, proteins, polysaccharides, or other complex macromolecules., • Experience moving a chemical or materials process from laboratory proof of concept toward larger-scale, reproducible operation., • Ability to investigate protein structure and molecular organization using fit-for-purpose analytical techniques and connect those measurements to rheology, fiber morphology, and tensile stress–strain behavior., • Strong experimental reasoning, quantitative analysis, technical writing, organization, and project-management skills., • Ability to work effectively in an early-stage company, make progress with incomplete information, and balance scientific rigor with development timelines. Preferred Experience • Hands-on experience and theoretical knowledge of structural biopolymers, such as keratin, silk fibroin, collagen, chitin, or chitosan., • Experience collaborating with fiber-spinning teams and interpreting the effects of spinneret design, shear, coagulation, drawing, and post-processing on fiber properties; direct wet-spinning experience is a plus., • Highly concentrated polymer solutions, non-Newtonian rheology, formulation additives, and process stability., • Membrane filtration, solvent or salt recovery, pressurized reactors, pilot equipment, or process-control systems., • Technology transfer, external manufacturing partnerships, patent development, or federally funded R&D programs. What We Offer • A leadership role in developing a new circular materials platform from fundamental chemistry through pilot manufacturing., • Base salary: $105,000-$135,000, based on experience, plus stock options., • Health and wellness benefits. How to Apply Please send a CV or resume and a brief cover letter describing your relevant scientific and technology-development experience to info@finiksforge.com with the subject line "Senior Research Scientist." • Finiks Forge, Inc. is committed to building a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability, or any other characteristic protected by applicable federal, state, or local law.

TEAM DESCRIPTION The Data Management team provides oversight of the data generated throughout the campaign delivery and performance optimization throughout its lifecycle. They will also work with other internal practice teams of Digital Analytics, Planning, and Digital Investment. You will provide oversight of all digital media buys to ensure that they are following process, purchased, and inputted according to organizational standards. This role requires a strong familiarity with all available analytics and technology tools, both syndicated and proprietary. Candidate must have a mindset towards fostering processes through automation. ROLE SUMMARY The Senior Director, Data Management, will work with the Executive Director, Data Management and SVP, Data Management to guide the development and on-going operation of business intelligence tools/technologies, technical solutions, and data governance processes. The role requires a strong familiarity with common media analytics and technology tools, both syndicated and proprietary. The ideal candidate must be able to proactively communicate ideas and opportunities, build strong relationships with internal and external partners, and grow the data Management practice for North America offices. The candidate must have a mindset towards fostering processes through automation, as well as establishing data as the backbone of other media disciplines. JOB DESCRIPTION Administrative & Departmental Development • Works with Senior Data Management leadership and executive team to establish agency-level standard Data Management practices and thought leadership. Oversees application of such standards across all PHD accounts, • Participates in business pitches. Serves as the subject matter expert on data Management and business intelligence topics and their potential applications to address client business needs, • Writes client statement of work (SOW) and/or service-line agreements (SLA) during contract negotiations, re-negotiations and/or renewals, • Works with PHD finance, OMG and Annalect India leadership to establish resource rate cards, platform costs and various business engagement requirements, • Staffing accounts according to client business requirements and anticipates future needs. Interviews and hires new employees, • Serves as the escalation contact to address critical business issues and have tough conversations with internal teams and clients. Supports development of short-term plans to prioritize needs and resolve urgent issues, • Constantly analyze employee time utilization to minimize over-burns and ensure employee hours are properly scoped to the right projects, • Periodically evaluates and re-evaluates new and existing business intelligence tools/platforms to ensure they meet the changing requirements of media data and organizational best practices Data Management & Strategy • Establishes departmental data strategy and data solutions. Defines standards and best practices for data ingestion, data harmonization, data storage, data governance and dashboard visualization, • Acts as the subject matter expert for projects relating to data quality and business rules. Demands best practices are being followed by onshore and offshore data teams amongst all projects, • Collaborate with Media/Ad Ops to establish agency taxonomy naming convention standards, adoption strategy and execution workflow. Actively promote the use of technology to standardize taxonomy creation and implementation, • Leads and manage cross-functional and cross-organizational teams to understand complex data issues involving multiple systems, establish priorities, develop improvement plans, allocate resources, and implement solutions, • Works with and promotes the adoption of new and existing in-house media Data Management tools and processes, • Keeps up to date on digital Management - buy changes, creative specifications, etc. Data Governance & Documentation • Leads the development of a comprehensive departmental data management and integrity program, including being accountable on cross-account adoption of a coordinated governance process, • Provides consultation for junior employees to ensure industry data standards are appropriately utilized and leveraged to drive data quality and compliance and to ensure impact is minimized, mitigated appropriately, • Drives cross-discipline documentation process and create standardization for validating the implementation, optimization, and reconciliation of all campaign data, • Oversees documentation of processes, workflows, and technical implementations of any project. Proactively identifies, proposes, and generates targeted solutions for data quality issues and operational inefficiencies People & Project Management • Supervise Directors and Managers to perform data operations, data quality assurance and client management tasks. Provides guidance to team members and nurtures/promotes team environment, • Accountable for growth of direct reports. Tailor client-, agency- and personal goals to develop and emphasize strengths of each direct report, • Acts as liaison between internal team leads, onshore and offshore data operations teams to improve the collaboration process for validating the implementation, optimization, and reconciliation of all campaign data, • Fosters positive relationships and works with internal teams (Client Business Lead, Strategy, Digital Investment, Programmatic, Search, Social), • Communication of roles, responsibilities and expectations in an effective manner and clear department RACIs, • Creates and manages project timelines and tasks in project management tools such as HIVE and Microsoft Teams., • Develops effective project plans for new implementation and change logs for on-going data and account management Account Data Ops Leadership • Will be the Data Management lead across several accounts, providing leadership, data management, data accuracy and opportunity identification, • Accountable to the team leadership and requirements to drive improvement and growth on the accounts, • Working with more junior team members to facilitate the timely delivery of accurate, quality, usable, and accessible data for various performance use cases SKILLS & EXPERIENCE • Minimum 10 years’ experience in data management, data engineering, data operations and/or business intelligence, • Minimum 8 years’ experience in advertising agency, • Minimum 8 years’ experience in digital media data (Ad Server, digital, search, social, video, offline, etc.), • Minimum 8 years’ experience in an agile development environment, • Minimum 8 years’ experience in management role, • Minimum 8 years’ experience in client facing work, • Experience managing offshore team a big bonus, • Attention to details, • Strong verbal and communication skills, • Strong organizational and project management skills, • Can multi-task effectively, • Project scoping experience, • Drives adoption, training, and ownership of departmental requirements & projects TOOLS • Business Intelligence: Advanced Excel (required), Tableau, PowerBI, Datorama, Looker/Looker Studio, Domo, PowerPoint, • Data Management & Transformation: ETL Tools (Adverity, Datorama), Alteryx, SQL (preferred), Python (nice to have), • Data Storage/Cloud: Snowflake, AWS (Redshift, S3), Starburst.io, Datorama, Domo, • Media Platforms: DCM, DV360, Google Ads, DoubleVerify, IAS, TradeDesk, Facebook, Instagram, Snapchat, Twitter, TikTok, Prisma, • Project Management: HIVE, Asana, Smartsheet, Microsoft Teams, • Media Planning: MediaTools, Lumina, Hudson (bonus), • Other: Experience with writing business and technical requirements documents; comfort with business rules design and BI tool administration

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

A tier-1 options market maker is building out a Delta One Futures Desk and looking for elite C++ developers who want to work on some of the most computationally intensive problems in the trading. This is an opportunity to combine low-level systems engineering with data analysis, working directly alongside quants and traders to enhance, refine, and evolve trading strategies. Delta One Futures refers to trading highly liquid futures contracts whose price movement has a near 1:1 relationship (delta of ~1.0) with the underlying asset. What makes this space particularly interesting for developers is the combination of ultra-low-latency engineering, large-scale data analysis, and direct business impact. Small improvements in system performance, execution quality, or signal generation can have a measurable effect on trading outcomes, creating a much tighter feedback loop than in most traditional software engineering environments. What You'll Do • Work with petabytes of market data to better understand market dynamics and uncover new trading signals, • Improve alpha generation by enhancing strategy development, research infrastructure, and trading systems, • Partner closely with traders and quants in a highly collaborative, meritocratic environment, • Develop and optimize high-performance C++ systems that sit at the core of the trading stack What We're Looking For • 3+ years of experience developing performance-sensitive C++ applications, • Bachelor's degree in Computer Science, Mathematics, Engineering, or a related field (MS or PhD preferred), • Experience solving low-latency, data-intensive, or highly optimized systems problems, • Prior trading experience is not required, but experience solving comparable performance-critical problems is. We've seen strong engineers transition successfully from industries such as autonomous vehicles, defense, high-performance computing, and large-scale distributed systems at top tech companies.

Company: Stealth Stage Startup Location: New York City; full-time, in-office Compensation: $220K - $240k, founding-team equity, and health benefits Reporting to: Founder & CEO About the Company We are a seed stage startup with venture backing from top-tier investors, building financial infrastructure for general contractors. We're starting with the cash-flow constraints that prevent capable businesses from taking on more work, paying suppliers, and growing. Our product brings AI-assisted estimating and project information together with access to financing. Our ambition is to use that operational context to make better-informed credit decisions, offer appropriate amounts of capital, and identify emerging risks throughout the life of a loan. The Opportunity You will lead the development of proprietary algorithms for credit verification, fraud detection, underwriting, loan sizing, and portfolio monitoring. This is a foundational role with substantial ownership. You will work directly with the founder, engineers, operations team, credit advisors, and lending partners to determine what we should measure, how we should evaluate risk, and how those decisions become a reliable production system. We are particularly interested in candidates from consumer lending who have built models using real borrower and repayment data. Experience with unsecured personal loans, credit cards, installment lending, point-of-sale financing, or comparable credit products is highly relevant. We want someone who understands both the mathematics of prediction and the practical consequences of lending decisions: approving a borrower, setting an exposure limit, identifying fraud, managing uncertainty, and recognizing when a model does not yet have enough evidence to support a decision. What you will build Credit verification and borrower assessment Develop systems that establish a trustworthy picture of a contractor’s identity, business activity, financial position, and repayment capacity. Your work may incorporate permissioned bank-account transactions, credit information, business records, existing debt obligations, project history, contracts, invoices, payment behavior, and relevant public records. You will: • Build methods to verify borrower-provided information against independent sources., • Identify inconsistencies across applications, bank transactions, business identities, and supporting documents., • Distinguish recurring operating revenue from transfers, borrowed funds, and unusual deposits., • Develop cash-flow features that capture liquidity, revenue volatility, seasonality, debt-service obligations, and financial stress., • Evaluate data quality, coverage, freshness, and incremental predictive value before incorporating a source into underwriting., • Design clear pathways for additional verification and human review when information is incomplete or contradictory. Proprietary underwriting and credit-risk models Own the development of models that estimate repayment risk and support sound lending decisions. You will: • Develop models for probability of default, loss given default, expected loss, delinquency, and repayment timing., • Establish interpretable baseline models and test whether more complex approaches deliver meaningful improvements., • Evaluate statistical models, gradient-boosted trees, survival models, Bayesian methods, and other approaches appropriate to the available data., • Design validation using time-based holdouts, borrower-level separation, vintage analysis, and realistic deployment conditions., • Address class imbalance, delayed outcomes, missing data, selection bias, and changes in the applicant population., • Measure calibration and decision quality alongside discrimination metrics such as AUC and precision-recall., • Translate model outputs into documented approval policies, review thresholds, and monitoring rules. Loan sizing, advance limits, and repayment capacity Help us answer one of the company’s most consequential questions: How much should we lend to this contractor, for this project, at this point in time? You will develop a framework that considers both borrower-level and project-level risk, including: • Verified cash needs and the timing of labor and material expenses., • Project size, scope, pricing, and expected profitability., • Customer deposits, payment schedules, and repayment sources., • Existing borrowing and total exposure across concurrent projects., • The contractor’s historical operating capacity and execution record., • The relationship between advance size, repayment behavior, and loss severity., • How limits should change as a borrower establishes a repayment history. You will recommend initial and repeat-borrower limits using evidence, clearly stated assumptions, and stress testing. Your work will inform approval rates, exposure caps, loan duration, and risk-based pricing in collaboration with credit and legal partners. Fraud detection and document intelligence Build systems that identify suspicious applications and transactions while minimizing unnecessary friction for legitimate borrowers. Areas of focus may include: • Identity and business impersonation., • Altered or inconsistent financial documents., • Fabricated projects, contracts, or invoices., • Duplicate applications and overlapping financing., • Undisclosed obligations or potential loan stacking., • Suspicious relationships among borrowers, customers, and counterparties., • Unusual changes in bank-account or payment behavior. You will evaluate the appropriate use of language models, document AI, entity resolution, graph methods, and anomaly detection. You will define how findings are verified, scored, escalated, and recorded. AI research grounded in credit decisions Explore how modern AI can turn unstructured project and financial information into useful, verifiable underwriting evidence. You will: • Develop methods for extracting structured information from contracts, estimates, invoices, bank statements, and project documents., • Evaluate how project photos and progress records can support verification alongside other evidence., • Build evaluation datasets for accuracy, consistency, document coverage, and failure modes., • Test whether AI-derived features add predictive value beyond established credit and cash-flow signals., • Design systems with source traceability, confidence thresholds, and human review., • Balance predictive performance with inference cost, latency, maintainability, and operational reliability., • Help determine which capabilities warrant proprietary development and which are better served by external providers. The research agenda will be tied to measurable outcomes: better verification, more accurate risk estimates, appropriate loan sizes, fewer avoidable losses, and faster decisions. Portfolio analytics and ongoing monitoring Establish the measurement framework that allows us to understand how the lending business is performing and why. You will: • Define consistent metrics for defaults, delinquencies, recoveries, fraud, and realized losses., • Distinguish per-loan loss rates from annualized portfolio measures., • Build cohort and vintage reporting by borrower segment, acquisition channel, project type, advance size, and underwriting policy., • Monitor repeat borrowing, repayment timing, concentration, and changes in borrower behavior., • Develop early-warning indicators for project delays, liquidity deterioration, and emerging repayment problems., • Evaluate the relationship between underwriting decisions and contribution margin after funding costs, losses, and direct servicing expenses., • Design stress tests for adverse economic conditions, construction slowdowns, longer repayment periods, and correlated defaults., • Establish criteria for changing limits, tightening policies, or pausing a segment. What we are looking for - essential experience • Substantial hands-on experience in consumer lending, credit-risk modeling, or lending-related fraud analytics., • Direct involvement in models or decision systems used for real approvals, credit limits, pricing, verification, or portfolio management., • Experience working with borrower-level performance data and understanding how loan outcomes develop over time., • Strong command of probability, statistics, supervised learning, model evaluation, and experimental design., • Advanced proficiency in Python and SQL., • Experience taking analytical work into production with engineering partners., • Ability to connect model performance to approval rates, expected losses, borrower outcomes, and business economics., • Strong written and verbal communication, including the ability to explain technical findings to founders, credit professionals, and external partners., • Willingness to work full-time, in person with the founding team in New York City. Education A PhD is strongly preferred in a field such as: • Statistics or applied mathematics., • Computer science or machine learning., • Econometrics or quantitative economics., • Engineering or another closely related quantitative discipline. We will also consider candidates with a master’s degree and exceptional, directly relevant experience building and deploying consumer-credit models. Particularly valuable experience • Unsecured consumer lending, personal loans, credit cards, or installment credit., • Transaction-level cash-flow underwriting and bank-data analysis., • Credit-bureau data, identity verification, and business or borrower verification., • Thin-file applicants, new-to-credit populations, or alternative underwriting data., • Fraud prevention involving identity, documents, account behavior, or linked entities., • Survival analysis, Bayesian modeling, causal inference, or decision optimization., • Model explainability, stability testing, fairness evaluation, and governance., • Language models and document understanding applied to financial workflows., • Early-stage companies where data, infrastructure, and operating processes were still being established., • Small-business credit, construction finance, or project-based businesses in addition to consumer-lending experience.

About Octozi Octozi is an agentic AI clinical intelligence platform that automates clinical data workflows for pharmaceutical sponsors. We ingest data from EDC, safety, labs, and other clinical systems, then apply AI to streamline data cleaning, discrepancy detection, medical review, safety reconciliation, coding, and reporting. Our customers run real trials on Octozi today, and we're building the next generation of AI-driven medical and safety review alongside them. The role We're hiring a Clinical Scientist with deep oncology experience to sit at the center of our product, our AI, and our customers. This is not a back-office science role. You'll shape what we build, validate that our AI gets the clinical details right, and make sure the sponsors using Octozi get real value from it. You will: • Partner with customer clinical, medical review, and safety teams to understand their workflows and identify where AI can remove manual burden, • Work with our engineering and product teams to design clinically sound AI checks, review logic, and analytical views, and translate customer needs into product requirements, • Dive deep into our AI models and automated checks to verify clinical correctness, pressure-test edge cases, and drive validation against real study data, • Lead customer training, onboarding, and ongoing scientific touchpoints so teams adopt Octozi confidently and fully, • Collaborate with external clinical partners, advisors, and investigators on validation work and joint initiatives, • Collaborate on and contribute to publications in scientific and clinical journals, • Represent Octozi externally through conference talks, webinars, and industry working groups, building our voice in AI-enabled clinical development Qualifications • Master's, PhD, or MD, • Experience in oncology clinical development, with hands-on work in medical data review, safety review, or clinical data interpretation, • Fluency with clinical trial data: labs, adverse events, concomitant meds, tumor assessments (RECIST), and the realities of messy EDC data, • Comfort working directly with customers: you can run a training session, lead a scientific discussion, and turn feedback into product direction, • Genuine curiosity about AI. You don't need to code, but you need to want to understand how the models work and where they fail, • Strong written and verbal communication; willingness to publish and speak on behalf of Octozi, • Startup temperament: comfortable with ambiguity, ownership, and wearing multiple hats Nice to have • Experience at a sponsor in data management, medical monitoring, or pharmacovigilance, • Prior work with AI/ML tools in a clinical setting Why join You'll be an early scientific voice at a fast-growing company defining how AI can redefine clinical development. Your judgment will directly shape the product, and your name will be on the work. Compensation and benefits $160,000 to $240,000 base salary, plus equity, healthcare, vision, and dental benefits.

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

U.S. citizenship is required for this position. Candidates must be eligible to obtain and maintain a U.S. government security clearance. An active Top Secret/SCI clearance is preferred but not required. PREDICTION is building advanced AI systems for national security. We are looking for an exceptional Founding AI Research Engineer to join our core technical team and help define the AI research direction of the company. This is a hands-on research and engineering role for someone who wants to work on difficult, real-world AI problems across video, imagery, text, sensors, structured data, and other signals. We are not looking for someone who simply connects existing APIs. We are looking for someone who can understand difficult machine learning problems, design new approaches, run rigorous experiments, build models, and turn successful research into systems that operate in the real world. The level is flexible. We are interested in exceptional candidates ranging from outstanding early-career researchers to Senior, Staff, and Principal-level engineers. What You’ll Work On • Multimodal AI and reasoning, • Computer vision and video understanding, • Vision-language models and foundation models, • Temporal reasoning and long-term context, • Sensor fusion and multimodal data fusion, • Behavioral understanding and anomaly detection, • Object detection, tracking, and representation learning, • Agentic AI systems, • Model evaluation, calibration, robustness, and uncertainty, • Training, fine-tuning, post-training, and optimization, • AI systems operating in secure, edge, and mission-critical environments What You’ll Do • Research and develop new AI capabilities from idea through deployment, • Design and test new multimodal architectures and approaches, • Train, fine-tune, benchmark, and evaluate deep learning models, • Build systems that reason across multiple types of data simultaneously, • Develop methods for video understanding and temporal reasoning, • Implement and evaluate ideas from current AI research, • Design rigorous experiments and evaluation methodologies, • Investigate model failures and improve reliability, accuracy, and robustness, • Rapidly prototype new ideas and turn successful research into production systems, • Work closely with engineers and national security professionals on real operational problems, • Help define PREDICTION’s long-term AI research and technical direction Who We’re Looking For We care more about exceptional technical ability than titles or years of experience. You may be completing a PhD. You may already be a senior researcher or engineer. You may have spent years publishing research, or you may have spent those years building exceptional systems. What matters is what you can build, discover, and demonstrate. Strong candidates will have deep experience in one or more of the following: • Machine learning and deep learning, • Multimodal learning, • Computer vision, • Video understanding, • Vision-language models, • Transformers and foundation models, • Temporal modeling, • Representation learning, • Sensor fusion, • Agentic systems, • Reinforcement learning or post-training, • Model evaluation and calibration You should have strong Python skills and significant experience with modern deep learning frameworks such as PyTorch. You should also be comfortable reading research papers, understanding the underlying ideas, implementing them, identifying weaknesses, and developing better approaches. What Will Get Our Attention We want to see evidence of exceptional technical work. That could be: • Research published at NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, AAAI, KDD, or another leading venue, • A model or ML system you designed and built, • An exceptional open-source project, • A technically difficult system deployed in the real world, • Original research with meaningful results, • A GitHub repository that demonstrates exceptional engineering ability, • Experience at a leading AI lab, technology company, national laboratory, or advanced research organization A PhD is valuable, but it is not required. Why PREDICTION At PREDICTION, you will not be one researcher among hundreds. You will join a small technical team where your work can directly influence the models, architecture, research agenda, product, and direction of the company. PREDICTION is a New York-based U.S. technology company building advanced AI systems for national security. The company was built alongside senior leaders from the U.S. federal government, Intelligence Community, and law enforcement, together with engineers and researchers from leading technology and academic institutions. We are looking for exceptional people who want significant technical ownership and the opportunity to solve problems that matter outside of a benchmark.

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

About 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 a highly motivated Plasma Physicist to join our team, focusing on the physics design of stellarator divertors. Our unique toroidally continuous X-point divertor provides a robust, high-performance exhaust solution, addressing one of the most significant challenges in stellarator magnetic confinement. This role involves analyzing and simulating the divertor region of stellarator magnetic fields and collaborating across disciplines to execute our divertor development program. The ideal candidate will possess a strong background in plasma physics, particularly plasma edge physics, plasma-material interaction, and optimization along with hands-on experience in experiments and analysis. Experience with fusion device experiments is a plus. You will work with a dynamic team, contributing to cutting-edge research and development within Thea Energy’s stellarator systems. Candidates from all levels of professional experience are encouraged to apply and will be thoroughly evaluated. Key Responsibilities: • Optimize divertor magnetic and mechanical geometry and target plates using state-of-the-art computational tools., • Analyze edge magnetic geometry and provide feedback to the stellarator optimization and divertor engineering teams., • Develop and implement algorithms to simulate fluid plasma within complex magnetic edge topologies., • Develop and optimize divertor operation scenarios for the Eos stellarator., • Collaborate with cross-disciplinary teams to design effective stellarator divertor systems., • Perform data analysis and model validation to provide insights into physical mechanisms governing plasma behavior., • Prepare technical reports, presentations, and publications based on simulation results and optimization findings. Experience & Skillsets: Required: • PhD in Plasma Physics or a related field (with 2+ years of experience) or a master’s degree (with 5+ years of experience)., • Experience with the boundaries of fusion devices, particularly stellarators., • Proficiency in scientific programming languages (e.g., Python, Fortran, C++, or MATLAB)., • Familiarity with plasma physics simulation tools., • Excellent analytical, problem-solving, and communication skills., • Ability to work independently and manage complex projects., • Strong attention to detail and commitment to advancing fusion energy research., • Willingness to collaborate effectively with diverse internal and external teams of scientists and engineers. Ideal: • Experience with edge plasma models such as BMW, FLARE, SOLPS, UEDGE, EMC3-EIRENE., • Experience on a plasma physics experimental device, ideally a large stellarator or tokamak experiment., • Solid understanding of plasma fluid and neutral particle models., • Familiarity with Plasma-Material Interactions., • Experience working in high-performance computing (HPC) environments. Company Benefits: • Salary range $120,000 - $195,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTO It’s not necessary to meet all of the skillsets outlined above. Please feel free to send us a note and tell us why you would still be a great fit for this role or Thea Energy. Diversity and Inclusion: Thea Energy is an equal opportunity employer committed to creating a company of diverse backgrounds. By creating a diverse environment, we will bring new ideas and approaches to solving some of the world’s hardest (and most important) problems. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, family or marital status, age, disability, veteran’s status, or other characteristic protected by applicable laws and regulations. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.

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

Yank Technologies, Inc. is a wireless power startup in Brooklyn, New York. We develop long-range, high power wireless charging technology. Safe. Simple. No contact required. With patented coil and amplifier developments in resonant inductive technology, we provide a scalable solution for variable ranges of power and distances. We have multiple mobility, industrial, and space customers for a range of applications, such as wirelessly charging robotic vehicles and vehicle interior electronics. The Electromagnetic Engineer will lead the design, analysis, and optimization of magnetic structures and resonant systems for near-field wireless power transfer applications. This role focuses on high-current, high-Q magnetic design rather than traditional RF antenna development. The ideal candidate has hands-on experience with power magnetics, including inductors, transformers, resonant structures, and wireless power systems operating in the low MHz range. This position requires a practical engineer capable of bridging EM theory with real-world implementation. Responsibilities include high-Q coil development, magnetic modeling, parasitic and thermal analysis, coupling optimization, shielding strategies, and integration into compact electromechanical systems. Candidates should understand challenges associated with operating magnetic and power electronic systems at low MHz frequencies, including skin and proximity effects, EMI/EMC considerations, and material selection. This role is highly technical and research-oriented, with opportunities to directly influence the next generation of wireless power technology. The Electromagnetic Engineer will contribute to advancing proprietary high-Q resonant coil architectures and help push the limits of efficiency, alignment tolerance, power density, and system scalability Competitive compensation includes a base salary, healthcare benefits, and stock options in the company. The primary responsibilities of the Electromagnetic Engineer are as follows: • Design and optimize high-Q resonant coil systems for wireless power transfer applications operating in the low MHz range (6.78MHz and similar frequencies), • Develop custom magnetic structures including inductors, transformers, resonant coils, and shielding solutions for high power density systems, • Perform electromagnetic analysis focused on coupling, parasitics, losses, thermal effects, and efficiency optimization under real-world operating conditions, • Collaborate with power electronics engineers on system-level integration, • Design, prototype, test, and validate magnetic components and wireless power assemblies in laboratory environments, • Improve coil architectures with emphasis on quality factor (Q), alignment tolerance, manufacturability, thermal performance, and power transfer efficiency, • Evaluate magnetic materials, conductor technologies, ferrite structures, and packaging approaches for compact wireless power systems, • Support EMC/EMI analysis and mitigation strategies, • Work cross-functionally with mechanical, systems, and manufacturing teams to transition designs from prototype to production Qualifications Required • Master’s Degree in Electrical Engineering, • 3+ years of full-time experience in magnetics design, or wireless power applications, • Strong experience modeling and validating magnetic components and resonant structures using tools such as Ansys Maxwell, CST, or equivalent, • Hands-on experience designing, prototyping, testing, and manufacturing custom magnetic components, • Experience designing planar magnetics, inductors, transformers, or high-Q coil systems, • Understanding of skin effect, proximity effect, parasitic behavior, and thermal considerations in high-frequency magnetic systems, • Hands-on laboratory debugging and hardware validation experience required, • Excellent oral and written communication skills, • US Citizen or US Permanent Resident, • Ability to operate in a fast-paced environment, make effective and timely decisions, solve problems, and facilitate organizational and procedural changes, • Passion for advancing next-generation wireless power technologies Qualifications Preferred • PhD in Electrical Engineering, • Prior experience in wireless power transfer or resonant power conversion systems, • Prior experience in automotive, industrial, or aerospace industries, • Prior experience in high power density applications, • Prior experience leading engineering development efforts or mentoring engineers, • Prior startup experience

Finiks Forge is developing a biomaterials platform that transforms keratin-rich waste into regenerated high-performance advanced materials for the textile industry. We are seeking an Associate Scientist to execute hands-on polymer-processing research, with a primary focus on material characterization, process optimization and fiber manufacturing. Working under the supervision of a Senior Research Scientist, you will translate biopolymer formulations into manufacturing processes for biomaterial fabrication. You will operate and improve laboratory and pre-pilot scale material manufacturing equipment, connecting materials formulations and processing conditions to material performance. Our material innovation is supported by the National Science Foundation through an SBIR award and by partners across the textile supply chain. The position is based on-site in Brooklyn, New York. What You Will Do • Plan and execute fiber-spinning and processing experiments under the direction of a Senior Research Scientist, with increasing independence as projects progress., • Prepare biopolymer formulations and evaluate how composition, concentration, viscosity, rheology, and processing conditions affect processability and material fabrication performance., • Characterize formulations and processed materials using microscopy, rheology, thermal analysis, spectroscopy, mechanical testing and others., • Design and conduct controlled fiber-spinning and other extrusion-based experiments to evaluate formulation processability and fiber formation., • Plan and execute repeatable fiber-production trials across formulation, spinneret design, extrusion rate, coagulation and washing chemistry, drawing ratio, and post-processing; increase experimental throughput while maintaining reliable records., • Measure fiber morphology and mechanical properties; compare replicate fibers and document variability., • Analyze processing and mechanical data to identify trends, defects, and practical next experiments; communicate results with the Senior Research Scientist for the next iteration., • Prepare samples for external partners and coordinate testing, shipment, and technical documentation., • Maintain accurate laboratory notebooks and equipment logs and contribute to protocols, SOPs, technical reports, and grant deliverables., • Set up, operate, maintain, and troubleshoot laboratory and pilot fiber-spinning equipment, including spinnerets, extrusion systems, baths, and draw stages. Required Qualifications • Bachelor’s or master’s degree in polymer science, materials science, fiber science or engineering or a related field, with at least two years of relevant industry experience; or a PhD in a related field with hands-on experience in fiber spinning, fiber-process development, or polymer processing., • Working knowledge of polymer behavior, solution preparation, formulation, rheology, heat and mass transfer, and structure-process-property relationships., • Hands-on fiber engineering experience, including spinning or extrusion trials, control of processing parameters, troubleshooting fiber defects, and quantitative fiber characterization in an academic or industrial laboratory., • Ability to operate experimental equipment, follow and improve protocols, troubleshoot failures, and work safely with chemicals and mechanical systems., • Experience collecting reproducible experimental data and evaluating fiber performance with tensile stress–strain curves, microscopy, and appropriate statistical or graphical methods., • Strong laboratory documentation, organization, communication, and time-management skills., • Ability to collaborate closely with a supervisor while taking ownership of assigned experiments and development tasks., • Interest in working in an early-stage company where priorities evolve and hands-on problem-solving is essential. Preferred Experience • Direct experience with fiber spinning at lab or pilot-scale, including wet-spinning melt-spinning and others., • Film extrusion, casting, coating, roll-to-roll processing, or additive manufacturing., • Hands-on experience in processing biopolymers such as proteins, keratin preferred, or polysaccharides, and man-made polymer systems., • Designing, modifying, or assembling laboratory processing equipment., • Rheometry, tensile testing, microscopy, FTIR, DSC, DMA, or related characterization methods and experience with instruments like Instron or ZwickRoell., • Textile fibers, yarn preparation, fiber finishing, and testing according to ASTM or comparable methods. What We Offer • A hands-on role developing a new circular materials platform from formulation through pilot manufacturing., • Direct mentorship from the Senior Research Scientist and close collaboration with the founder and external technical partners., • Base salary: $75,000-$110,000, based on experience, plus stock options., • Health benefits. How to Apply Please send a CV or resume and a brief cover letter describing your relevant fiber, polymer-processing, or materials-development experience to info@finiksforge.com with the subject line "Associate Scientist." • Finiks Forge, Inc. is committed to building a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability, or any other characteristic protected by applicable federal, state, or local law.

Hinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About The Role Most consumer apps treat your attention as the product, optimizing every recommendation and notification to keep you scrolling. Hinge made the opposite bet: our mission is to get people off the app, out on a date, and eventually to delete us entirely. That is not a tagline. It is the actual constraint every AI system we build has to solve against. The Director of AI, Dating Outcomes owns the hardest version of that problem. You will lead the AI systems at the core of how Hinge connects people: the recommendation engine, the ranking models, and the generative capabilities that help users put their best selves forward. The goal is not engagement, it is outcomes: fewer ratings per exchange, higher quality matches, and more people finding the person they were looking for. Because Hinge does not sell ads or user data, being exceptional at this is our business model. Reporting to the VP of AI, you will set the long-term AI roadmap for one of the company's most influential product areas and build the teams that bring it to life. The problems sit at the intersection of human behavior, sparse real-world signals, and a two-sided ecosystem of people who are not interchangeable, a different kind of ML challenge than most people in this industry have had the chance to work on. Responsibilities • Strategy and Vision: Own the AI strategy for dating recommendations across the full journey, from first candidate to last date. Build the frameworks to reason rigorously through ecosystem tradeoffs where a win for one cohort reshapes another, and set a vision ambitious enough that the org wants to chase it., • Cross-Functional and Industry Leadership: Partner closely with other product groups to integrate AI capabilities across the product and shape roadmap decisions you do not own. Communicate honestly with executive leadership on strategy, tradeoffs, and progress. Own budget and investment strategy for the area, and represent Hinge externally through writing, talks, and community., • Technical Leadership: Steer real-time, personalized recommendation systems that reduce ratings per exchange and drive better matches. Bring Generative AI to dating outcomes in ways that are differentiated, authentic, and grounded in how people actually connect., • Responsible AI: Hold the bar on scalability, resilience, and rigorous evaluation for both performance and bias., • Team and Organizational Development: Structure and scale the team for both deep execution and long-horizon bets. Develop emerging leaders, invest in succession across IC and leadership tracks, and build a culture where rigor, inclusion, and performance reinforce one another., • Execution Excellence: Drive predictable delivery, balancing urgent risk response with long-term platform investments. Establish scalable operating rhythms for planning, technical reviews, and incident learnings. What We're Looking For • 10 or more years across data science, applied ML, and software engineering, with 6 or more years in AI or engineering leadership defining strategy, not just managing execution., • A track record of leading real-time, personalized recommendation systems in production, including the relevance, fairness, and scale tradeoffs that carry real consequences., • Demonstrated success scaling ML or AI teams and developing technical leaders who carry the work over years, not a single launch., • Deep technical fluency across ML, RL, Generative AI, and MLOps, with the communication skills and executive presence to represent AI strategy at the highest levels of the organization., • A degree in Computer Science, Machine Learning, or a related quantitative field. A PhD is a plus, not a requirement. What Will Set You Apart • Experience building AI systems in a two-sided or constrained marketplace, where optimizing for one group shifts outcomes for another and the right answer is rarely obvious., • A history of deploying Generative AI thoughtfully in user-facing experiences, not as a trend to follow., • External presence through publishing, speaking, or community contribution that reflects genuine intellectual engagement with the field., • Prior work in a domain where user outcomes are high-stakes and hard to measure, whether health, education, finance, or something comparably consequential. As a Member Of Our Team, You’ll Enjoy 401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year. Professional Growth: Get an annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day. Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.) Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide a stipend towards fertility preservation. You and your spouse/domestic partner are both eligible. Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones. ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Raices, Women/Nonbinary, Parents —that hold regular meetings, host events, and provide dedicated support to the organization & its community. At Hinge, our core values are… Authenticity: We share, never hide, our words, actions and intentions. Courage: We embrace lofty goals and tough challenges. Empathy: We deeply consider the perspective of others. Diversity inspires innovation Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know. #Hinge Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.

📍 Location: New York 💼 Title: Head of Clinical Development ✉️ Contact: Sam - sam@elemed.eu Hybrid- 3 days a week on site in New York Relocation package offered You have spent a decade or more leading oncology programmes inside large pharma or building out clinical teams at a biotech. The question is whether you want to keep doing it the same way, or do something genuinely different with what you know. The Company This company is not a traditional biotech that has bolted an AI tool onto its existing workflow. It was built from first principles around an AI and technology core, and that distinction shapes everything about how it operates. Its model reads across DNA, RNA, pathology, and clinical text on a dataset of multimodal oncology records. Every major portfolio decision in Q1 2026 was informed by the platform. That is not a pilot. That is how the company runs. The teams are small by design. Functions across clinical, regulatory, finance, legal, and engineering are each built as groups of three to six subject matter experts, each directing a fleet of AI agents to do work that would traditionally require dozens of people. The people who thrive here are deep experts who know exactly what needs to happen and can specify, oversee, and judge at pace. The Opportunity A growing AI-driven company with clinical-stage programmes and the capital to match its ambition needs someone to own those assets end to end. As Head of Clinical Development, you will report directly to the CEO and serve as the single accountable leader for your programme(s). That means full ownership: strategy, regulatory interactions, trial design, go or no-go calls, and the scientific narrative of the asset. You will lead a small, autonomous team and direct a fleet of AI agents handling document drafting, literature surveillance, safety-signal monitoring, and data triage, freeing your time for the medical and strategic judgement that actually moves a programme forward. In practice, this is a CMO-level remit in all but name. You will carry assets from IND-enabling work through to registrational strategy, translating the outputs of the oncology model into biomarker-driven trial designs built around the right patients from the start. If you want to build, own, and ship at a pace that traditional drug development rarely allows, this is where that becomes possible. What You'll Be Doing • Own the full development strategy for one or more oncology assets, from IND-enabling activities through to registrational planning, and serve as the single voice into portfolio governance and investment decisions., • Design precision, biomarker-driven protocols by translating foundation model predictions and real-world evidence into trial designs that identify the right patient populations sooner., • Define regulatory strategy and act as senior sponsor in FDA and EMA interactions, owning the clinical and scientific content of briefing books, IND amendments, and key submissions., • Lead medical oversight across active studies, using platform dashboards to track enrolment, safety signals, and biomarker data in real time from site activation through to closeout., • Direct your cross-functional team of clinical and scientific staff and orchestrate a fleet of AI agents to execute document-heavy tasks that would traditionally consume a development leader's calendar., • Provide matrix leadership across biostatistics, medical monitoring, data management, and clinical operations, aligning functional experts around the priorities of the asset., • Own and develop investigator and KOL relationships for your programme, and maintain a sharp view of the competitive and scientific landscape to inform development decisions., • Make the high-judgement scientific and commercial calls, including go or no-go decisions, that determine where the programme goes at each milestone. What We're Looking For • MD or MD/PhD with substantial oncology drug development experience, ideally including breast cancer or NSCLC programmes., • Ten or more years in drug development, including senior leadership as a VP or SVP of Clinical Development at a pharmaceutical company, or as CMO at a biotech., • Demonstrated end-to-end ownership of a clinical asset, covering regulatory strategy, protocol design, health authority interactions, and pipeline-level go or no-go decisions., • Genuine openness to working in an AI-first, non-hierarchical environment How to apply To apply, send your CV to sam@elemed.eu. About Elemed Elemed is a specialist consultancy and talent management agency focused exclusively on the Biotech, Pharma and MedTech markets. We help healthcare companies bring products to market faster by combining technical consulting, strategic hiring and professional development. Want career inspiration? Listen to our executive podcast _.

Location: Jersey City, NJ or Charlotte, NC Contract to hire W2 only Hybrid on site About the Role Sharp Decisions is recruiting for a senior, hands-on AI engineer to join the technology organization of a major global bank. This is a forward-looking role focused on agentic AI: designing, coding, and deploying autonomous agents built on large language models. What sets this role apart is the problem space. The team is looking for someone who understands not just how to build an agent, but how agents behave once they interact with each other, with data, and with the institution around them. That means thinking about emergent risk, complex systems, and the interconnectivity of things. What You'll Do • Design and build LLM-powered agents and multi-agent systems, from prototype through production., • Write the code yourself: agent logic, tool use, orchestration, and the data pipelines that feed them., • Model how agents interact within larger systems and identify where emergent behavior can create risk., • Bring a complex-systems lens to how interconnected processes, models, and data flows affect one another., • Work with engineering and business stakeholders to shape how agentic AI is applied responsibly across the bank. What You Bring, • A deep understanding of AI agents: how they work, how they reason and act, and how they fail., • Strong working knowledge of LLMs and practical experience building agents on top of them., • Solid coding ability in Python, with PySpark and SQL experience for working with data at scale., • Experience with Microsoft Azure., • A genuine grasp of complex systems, emergent behavior, and systemic or emergent risk. Backgrounds we'd love to see: Strong candidates often come out of computational social science or similar interdisciplinary programs, where modeling agents, networks, and emergent behavior is core to the work. A PhD in one of these fields is a meaningful plus. Technology Environment Azure, Python, PySpark, SQL, LLMs and agent frameworks. Databricks is part of the environment but not required. Location Jersey City, NJ or Charlotte, NC. The team is flexible on which office and will base the role wherever the right person is. Sharp Decisions has connected technology talent with leading financial institutions for more than 36 years.

Are you ready to join Connecticut Innovation’s vibrant community of innovators? Connecticut Innovations (“CI”) is Connecticut’s strategic venture capital arm, and we are passionate about serving our portfolio of 220+ companies across various industries, with strengths in life sciences, technology, and climate tech. Come join one of our quickly growing portfolio companies,_n! CREW Carbon Overview CREW’s technology and services make wastewater treatment cheaper and more efficient, while permanently sequestering CO₂. Leveraging advanced chemistry, natural minerals, and AI, we’ve developed and are deploying a category-defining process intensification technology, with decarbonization at its core. Today, we help wastewater treatment facilities and operators: • Stabilize pH & alkalinity 24/7, • Eliminate hazardous chemicals & cut costs, • Avoid $100M+ infrastructure upgrades, • Capture & Store CO2 We are currently deploying this technology across the US and Europe. In addition, we’ve signed $30M+ in carbon removal offtake agreements with leading corporations looking to meet their climate goals, supercharging geographical CREW’s expansion. CREW has offices and labs in New Haven, CT and offices in Brooklyn, NY. We are funded by Counteract, ReGen, Ponderosa, Connecticut Innovations and others. We've secured large contracts with the premier buyers of carbon credits through the Frontier Climate Fund (Stripe, Shopify, Autodesk, McKinsey, among others) and have been selected by the Department of Energy as one of the few potential suppliers of high-quality carbon credits to the federal government. About The Role As a Wastewater Process Engineer at CREW Carbon, you will contribute to process design, optimization, and technical implementation of CREW’s process intensification and carbon removal systems at wastewater treatment facilities. You will use your knowledge of process modeling and engineering, aqueous chemistry, and wastewater operations to design and optimize dosing systems that achieve both treatment efficiency and measurable greenhouse gas. You will facilitate CREW’s scientific and engineering innovations into scalable, real-world systems. Working between the Tech, Ops, and Product teams, you will analyze and interpret lab and operational process data from CREW’s deployments to identify opportunities and drive action and optimizations. This will include designing and refining process flow diagrams, developing mass and energy balances, supporting demonstration and full-scale deployments, troubleshooting process performance in the field, documenting protocols, and driving customer success at partner sites. This is an ideal opportunity for a process-minded, mission-driven engineer who thrives at the intersection of environmental technology and practical system design. This position is a full-time role. Location will be onsite at our office in Brooklyn, NY or New Haven, CT. Responsibilities • Develop process flow diagrams, mass and energy balances, and dosing system designs to meet project goals., • Coordinate with the Technology and Operations teams to translate lab results and field data into insights and actions, including technical presentations/reports, data-driven operating decisions, and recommendations., • Collaborate with the Technology team to address process issues and propose technical solutions to wastewater partners, which could include process modeling, technical engineering analyses, data analyses, etc., • Serve as a technical lead for wastewater process and process-mechanical support during partner engagements, to foster satisfaction and confidence in system performance., • Work with the Operations team to set process optimization and carbon removal targets., • Own technical documentation, training, and design input to internal teams and external partners. Contribute to continuous improvement initiatives, standardization of design templates, and lessons-learned captured across deployments., • Support new project development, including alkalinity dosing design, integration into existing facility systems, and process control strategy., • Champion operational and process insights to inform project development strategy with the Commercial Team., • Stay current on emerging trends in wastewater treatment, process intensification, sustainability, and environmental technology. Experience Requirements • Bachelor’s degree (required) in Environmental Engineering, Chemical Engineering, Civil Engineering, or a related field; a Master’s or PhD degree is a bonus., • 5–8+ years of experience in wastewater process engineering, biological treatment design, or related fields (municipal or industrial)., • Strong understanding of wastewater treatment processes, including nutrient removal, solids handling, and pH and alkalinity control., • Experience developing and reviewing PFDs, P&IDs, site layouts, mass balance calculations, and process unit design., • Comfortable working in a rapidly evolving startup setting and able to quickly synthesize new information to proactively adjust focus and maintain high-impact results., • Ability to travel periodically to deployment sites., • You practice extreme ownership (no task is too small)., • You love being in the trenches with your team and working with high empathy., • You have a growth mindset. Bonus Qualifications • Familiarity with process modeling tools (BioWin, SUMO, GPS-X, MATLAB, or equivalent)., • Experience in carbon capture, carbonate chemistry, or water-chemistry-based carbon removal technologies., • Field experience with pilot systems, process commissioning, or operational troubleshooting is highly desirable., • Experience integrating instrumentation, controls, and monitoring systems for process optimization., • Experience with CAD software, including AutoCAD, Civil 3D, or Revit. Compensation The annual salary range for this position is competitive and will depend on many factors including experience, education, and expertise. We offer a competitive benefits package with insurance, vacation, retirement, and equity options. CREW Highlights • _ with the Frontier Climate Fund in 2024, • in 2024 to be a potential supplier of high-quality carbon credits to the federal government, • _ by US Senator Chris Murphy in 2024, • _, the leading water sector innovation accelerator in 2024, • _ as “One of the Most Promising Climate-Tech Startups of 2023 CREW Carbon is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We have strict wage minimums, generous benefits, and personal leave policies. Our goal is to provide safe, rewarding, and empowering work environments for all who interact with our company.

Head of People Science, Workforce Transformation Consulting New York City | San Francisco About MatterMore MatterMore's mission is to provide our clients with frontier workforce decisioning intelligence, steering how humans work with each other and with AI by applying advanced research techniques from data science, I/O psychology, and other fields to an expanding set of workforce data. About the role MatterMore delivers intelligence that companies use to make critical decisions for transforming their workforce. We enable business leaders to skillfully navigate AI transformation to empower human and economic flourishing. We distill vast amounts of enterprise data into truth, turn that truth into actionable insights, and compose those insights into stories that move executive stakeholders to make informed, high-impact decisions. We are a dedicated team of researchers and engineers working with global Fortune 500 enterprise customers. We are looking for the senior people scientist who sits at the center of that work: the executive-facing expert who partners with CHROs, People Analytics, and COE HR leaders to uncover workforce opportunities, translates collaboration, activity, and productivity data into decisions leaders act on, and carries the science into the room where enterprise deals are won and expanded. We have customers and a working delivery model. You will advise our largest accounts directly, turn what works into playbooks that scale across accounts, and partner with our product and data science teams to shape what our workforce intelligence platform becomes. We're seeking a people scientist who has grown into a workforce-transformation leader with: • The credentials, experience, and analytical depth to work our richest datasets – passive and active listening, behavioral telemetry, organizational network data, • Executive presence to confidently lead Fortune 500 leadership teams through human-led, AI-powered workforce transformation, • Commercial instincts to grow the accounts you serve. If this sounds like you — let's talk! Responsibilities • Own workforce transformation engagements with Fortune 500 clients end-to-end: partnering with client CHROs, HR leadership teams, COEs (Recruiting, Total Rewards, HR Ops, Org Design, Learning & Talent Development, HRBPs) and cross-functional business heads to move organizations from diagnosis to executed change, • Serve as the primary technical HR-science expert for critical pursuits — shaping proposals, demos, and executive presentations that win new enterprise logos and expand existing accounts, • Turn workforce data — collaboration & activity data, productivity signals, organizational network data, and employee listening — into predictive, decision-grade insights, integrating people analytics into clients' workforce planning and talent decisions, • Lead the change management that makes transformation stick: move stakeholders from questions to findings to executed decisions, define success up front, and measure impact of decisions — from value ROI & realization to workforce outcomes, • Codify delivery into operational playbooks and diagnostic frameworks that standardize quality and scale across accounts Why this seat is different At MatterMore, people science is our core product. What you learn in an executive room becomes a shipped intelligence surface weeks later: you'll partner directly with our product, data science, engineering teams to turn our client’s needs into platform capabilities – validating real customer scenarios, pressure-testing new intelligence surfaces, and influencing the roadmap – and apply our growing capability set in the next executive room. If you've watched your best transformation work die in decks, this is the seat where it compounds. You may be a good fit if you have: Deep people-science expertise applied at enterprise scale • 6+ years in people science, workforce transformation consulting, or people analytics serving global enterprise (Fortune 500) portfolios, • Hands-on experience with employee listening at enterprise scale – and especially passive listening: collaboration, activity, and productivity data (e.g., Microsoft Viva Insights / Glint, M365 or Google Workspace telemetry, organizational network analysis) and joining with active listening and workforce data (job architecture/descriptions, skills), • Rigor about measurement – defining success up front, skepticism of vanity metrics, and updating beliefs based on evidence, • Advanced degree in I/O psychology, organizational psychology, or a related behavioral science; PhD strongly preferred Executive advisory and commercial credibility • Track record advising Fortune 500 C-suites and executive teams through workforce and AI transformation – including change management that made insights stick and decisions follow through, • Elite communicator and storyteller – able to distill complex analytics into narratives that move executives to act, and to interface credibly with engineers, analysts, and CHROs alike, • Confident owning the science in the sales room: pre-sales support, technical credibility, and expansion of the accounts you serve Product instincts • Experience partnering with internal product and data science teams – or building workforce-intelligence product surfaces yourself, • Appetite to shape a platform, not just deliver engagements: your client patterns become product requirements Deep conviction about humans and AI • Deep curiosity about how humans and AI work together, • Strong perspective on how technology should enhance human capability rather than diminish it, • A point of view on what humane approaches to AI deployment look like — and willingness to make that case to customers whose first instinct is to cut headcount Strong candidates may also have: • Experience in a people-science or workforce-transformation seat at Microsoft (Viva), Glint, Perceptyx, Visier, or employee-intelligence platform, • Microsoft Viva implementation or deployment experience – specifically passive employee listening, behavioral telemetry, Copilot/AI adoption analytics, value realization, • AI transformation methodology experience: adoption measurement, human-centric change, value realization frameworks, • Experience in organizational effectiveness/design, workforce planning, talent management/development – practitioner context behind the data, • Early-stage operator or founder experience where scope was wide and you wore many hats, • Teaching, publications, or public speaking in I/O psychology or behavioral science – thought leadership that generates demand What this role is not This is a hands-on, founding-team role with broad scope and high autonomy at a funded startup's inflection point. You'll define the people-science function, lead accounts personally, and steer what MatterMore becomes by working directly and closely with customers. It is not a survey-administration or assessment-design seat, and it is not managing a large consulting team – at this stage your leverage comes from applied experience, AI, playbooks, and product, not headcount. If you're looking to step into an established function with direct reports and limited customer interaction, this isn't the right fit. Final notes There are way too many AI submissions so if you're interested please (1) connect with our CEO on LinkedIn and send us a DM and (2) email careers@mattermore.ai and we'll be sure to review your application!

About the Company Princeton Critical Minerals Inc (PCM) is a Princeton University spinout developing breakthrough technologies to enable sustainable extraction of lithium and other critical minerals. Our mission is to increase global mineral supply while minimizing water use, energy consumption, and environmental impact. We operate at the intersection of materials science, chemical engineering, and field-scale deployment, with active pilot programs in the U.S. and internationally. About the Role We are seeking a highly motivated Chemical Engineer or Chemist to join our team and help develop innovative, cost-effective solutions for mineral extraction from brine resources. This role spans lab research, pilot testing, and field deployment, with direct impact on scaling next-generation extraction technologies. Responsibilities • Design and develop materials, coatings, and chemical processes to enhance mineral extraction efficiency from brine systems, • Plan and execute laboratory experiments and field trials independently, including pilot-scale testing, • Analyze experimental data and translate findings into actionable process improvements, • Develop and maintain technical documentation, SOPs, and operational protocols, • Support product validation and performance benchmarking in real-world environments, • Collaborate on sensor integration, data analysis, and process monitoring systems, • Participate in technical reviews and contribute to engineering design decisions, • Communicate results and insights to internal teams, partners, and customers Qualifications • Bachelor’s, Master’s, or PhD in Chemical Engineering, Chemistry, Environmental Engineering, Geoscience, or related field, • Strong foundation in process engineering, brine chemistry, and materials science, • Experience with experimental design, data analysis, and process optimization, • Familiarity with process simulation tools, sensor systems, or data analytics platforms is a plus, • Experience in field work, pilot systems, or industrial environments preferred, • Strong written and verbal communication skills (English required; Spanish is a plus), • Hands-on, problem-solving mindset with the ability to work in fast-paced, multidisciplinary teams, • Willingness to travel to field sites (U.S. and international) as needed PCM Inc. is an equal opportunity employer committed to building a diverse and inclusive team.

📍 Location: New York- 3 days/week 💼 Title: Director, CMC ✉️ Contact: Sam - sam@elemed.eu You've spent years watching CMC become the bottleneck in drug development, not because the science was wrong, but because the workflows were built for a different era. What if you could change that across four oncology programmes at once? The Company This company was built on a single conviction: that drug development fails patients far too often, and that the tools now exist to redesign it from scratch. They are not a traditional biotech that bolted AI onto existing infrastructure. AI is the operating layer for every function, clinical, regulatory, finance, CMC, each run by small teams of genuine experts commanding dozens of AI agents to do the work that used to require a department. Their platform reads across multimodal oncology data at a scale few others can match, connecting genomics, imaging, transcriptomics, and longitudinal clinical outcomes to inform live portfolio decisions. Which asset advances. Which trial design changes. Which programme stops. These are not committee debates resolved over months. They are informed calls made in days. The result is a company of roughly 40 to 50 people doing the work of a traditional biotech several times its size, with four oncology programmes and a co-development partnership with a top-five pharma. The people who thrive here are deep experts with a bias toward action, individuals who want their scientific judgement to matter rather than sit behind layers of approval. The Opportunity Four oncology programmes, three distinct modalities, and a mandate to rebuild CMC workflows in a way most companies have not attempted. That is the scope sitting in front of the Director, CMC from day one. You will own CMC strategy end-to-end across a portfolio spanning multiple modalities. ADC experience is a hard requirement here. The bispecific ADC programme is moving from existing Phase III data toward a global registrational path, and you will own the CMC strategy that gets it there, including tech transfer, CDMO selection, and regulatory filings. What makes this Director, CMC role genuinely different from others at this level is the AI dimension. CMC is one of the most under-transformed areas in drug development, and this company believes that is about to change. You will deploy AI agents across process characterisation, analytical method development, regulatory document assembly, and predictive manufacturing risk modelling. The AI handles volume and pattern recognition. You apply the scientific judgement and regulatory strategy. Reporting into the VP of CMC and Technical Operations, you will also contribute to the continuous improvement of the AI platform itself, feeding your domain expertise back into a system that gets sharper with every programme. This is a chance to build infrastructure that compounds in value across every asset that follows. What You'll Be Doing • Develop and execute CMC strategy across a multi-modality oncology portfolio, setting direction for process development, analytical development, and formulation across drug substance and drug product., • Own the CMC sections of IND filings, amendments, annual reports, and BLA/NDA submissions, partnering with Regulatory Affairs to ensure CMC timelines never gate clinical milestones., • Lead tech transfer strategy for the bispecific ADC programme, from the originating manufacturer's platform to selected CDMOs for global clinical and commercial supply., • Select, qualify, and manage CDMOs across modalities, setting quality standards, negotiating technical agreements, and owning the technical relationship from process development through GMP manufacturing., • Deploy AI agents to accelerate process characterisation, design of experiments, and analytical method development, building predictive models for manufacturing risk before problems arise., • Automate CMC regulatory document preparation, including Module 3 assembly, stability data trending, batch record review, and deviation investigation workflows, retaining final scientific sign-off., • Implement real-time batch analytics that integrate process data, analytical results, and environmental monitoring into the centralised platform, so manufacturing decisions are informed by the same data driving clinical choices., • Lead CMC due diligence on new in-licensing opportunities, assessing manufacturing feasibility, supply chain complexity, and CDMO strategy before deals close., • Own the CMC quality strategy across all programmes, including specifications, stability programmes, comparability studies, and release testing, while partnering with Quality on GMP compliance and CAPA management., • Prepare and support regulatory inspections at manufacturing sites, ensuring all AI-assisted analyses carry documented human review chains and audit trails. What We're Looking For • PhD, PharmD, or MS in Chemistry, Biochemistry, Chemical Engineering, Pharmaceutical Sciences, or a related field, with 8 or more years of CMC experience in pharma or biotech., • Hands-on ADC manufacturing experience, including bioconjugation, linker-payload chemistry, analytical characterisation, and CDMO management for ADC programmes., • Demonstrated end-to-end ownership of CMC for at least one or two programmes from IND through late-stage clinical development, including Module 3 regulatory submissions to the FDA and EMA., • Proven track record managing external CDMO relationships across tech transfer, process validation, and GMP manufacturing oversight, with the ability to operate across multiple modalities concurrently. How to apply To apply, send your CV to sam@elemed.eu. About Elemed Elemed is a specialist consultancy and talent management agency focused exclusively on the Biotech, Pharma and MedTech industries. We help healthcare companies bring products to market faster by combining technical consulting, strategic hiring and professional development. Want career inspiration? Listen to our executive podcast _.

Senior Director, Biologics CMC (4 days onsite, 1 day remote) Position Summary Reporting to the Head of CMC, the Senior Director, Biologics CMC will provide scientific, operational and strategic leadership for biologics CMC from late discovery through clinical development. This individual will possess deep technical expertise in cell line development (CLD), upstream and downstream process development (Drug Substance), while maintaining broad working knowledge across all CMC disciplines including formulation, drug product manufacturing, analytical development, quality, regulatory CMC, and external manufacturing. Because we are a lean, science-driven organization, this role requires a highly collaborative leader who is equally comfortable with hands-on activities, leading technical discussions, reviewing experimental data, authoring technical documents, and managing external partners. Primary Responsibilities Program Leadership • Serve as the CMC technical lead for assigned biologics programs from late discovery through clinical development., • Develop and execute integrated CMC strategies aligned with overall program objectives., • Provide technical leadership during candidate selection, developability assessment, and IND-enabling activities and throughout clinical development stages., • Represent CMC on multidisciplinary project teams. Drug Substance Leadership Provide technical leadership for: • Cell line development, • Cell culture process development, • Upstream process optimization, • Downstream purification development, • Process characterization, • Technology transfer, • GMP manufacturing, • Process validation strategy, • Comparability assessments, • Manufacturing investigations and troubleshooting Cross-functional CMC Oversight Maintain sufficient scientific understanding to oversee and critically review: • Drug product formulation development, • Fill-finish manufacturing, • Container closure selection, • Analytical method development and qualification, • Stability strategy, • Specification development, • Reference standards, • Raw material strategy, • CMC regulatory documentation Although not expected to be the subject matter expert in every discipline, the individual must be capable of integrating all CMC functions into a cohesive development strategy. External Partner Management • Lead scientific oversight of CDMOs and CROs., • Review protocols, reports, manufacturing records, development plans and technical deliverables., • Drive technical decision making with external partners., • Monitor timelines, budgets, risks and deliverables., • Build strong collaborative relationships with external manufacturing organizations. Regulatory Support preparation of: • INDs, • IMPDs, • Scientific Advice packages, • Health Authority responses, • Clinical trial amendments, • CMC risk assessments Participate in Health Authority interactions as needed. Required Qualifications • PhD + 12 years / MS + 15 years: Advanced degree (PhD preferred) in Biochemistry, Chemical Engineering, Pharmaceutical Sciences, or a related discipline, with a minimum of 12 years (PhD) or 15 years (MS/BS) of biologics CMC industry experience., • PhD or MS in Chemical Engineering, Biochemical Engineering, Biochemistry, Biotechnology or related discipline., • Typically 12+ years of biologics CMC development experience. Deep expertise in one or more of: • Cell Line Development, Upstream Development, Downstream Process Development Broad understanding of: • Formulation, Drug Product manufacturing, Analytical Development, Quality systems, Regulatory CMC, • Experience supporting biologics from late discovery through multiple clinical phases., • Demonstrated experience managing global CDMOs., • Strong knowledge of ICH and global CMC regulatory expectations., • Excellent scientific communication skills. Preferred Experience Experience with one or more of: • Monoclonal antibodies, • Bispecific antibodies, • Fusion proteins, • Antibody fragments, • Novel biologic modalities

Are you ready to join Connecticut Innovation’s vibrant community of innovators? Connecticut Innovations (“CI”) is Connecticut’s strategic venture capital arm, and we are passionate about serving our portfolio of 220+ companies across various industries, with strengths in life sciences, technology, and climate tech. Come join one of our quickly growing portfolio companies,_n! CREW Carbon Overview CREW’s technology and services make wastewater treatment cheaper and more efficient, while permanently sequestering CO₂. Leveraging advanced chemistry, natural minerals, and AI, we’ve developed and are deploying a category-defining process intensification technology, with decarbonization at its core. Today, we help wastewater treatment facilities and operators: • Stabilize pH & alkalinity 24/7, • Eliminate hazardous chemicals & cut costs, • Avoid $100M+ infrastructure upgrades, • Capture & Store CO2 We are currently deploying this technology across the US and Europe. In addition, we’ve signed $30M+ in carbon removal offtake agreements with leading corporations looking to meet their climate goals, supercharging geographical CREW’s expansion. CREW has offices and labs in New Haven, CT and offices in Brooklyn, NY. We are funded by Counteract, ReGen, Ponderosa, Connecticut Innovations and others. We've secured large contracts with the premier buyers of carbon credits through the Frontier Climate Fund (Stripe, Shopify, Autodesk, McKinsey, among others) and have been selected by the Department of Energy as one of the few potential suppliers of high-quality carbon credits to the federal government. About The Role The Head of Technical Solutions sits at the intersection of technical expertise and strategic relationship-building. This role brings deep wastewater treatment knowledge to CREW to scale our technology and to engage with utilities, municipalities, and industry partners — shaping how our technology is understood, evaluated, and adopted in the market. This role will also support the Engineering, Operations, and R&D teams to continue to push forward product development, how CREW’s systems operate with performance expected by utility partners, and ensuring hardware systems are best designed, procured, and integrated with our wastewater utility partners. This role will work closely with CREW’s world-class Advisory team and CEO to define scientific priorities, mentor science team members, and drive CREW’s mission through innovative research and rigorous analysis. CREW is a fast-moving, technically ambitious company – this role is for someone who wants to shape the technical direction of a category-defining technology. This position is a full-time role. Location is onsite at CREW’s Brooklyn, NY office. Remote considered only for exceptional candidates, with regular travel to Brooklyn expected. Responsibilities • Serve as CREW’s primary technical subject matter expert in utility-facing engagements., • Lead technical scoping conversations with utility engineering and operations teams, translating CREW’s biological treatment technology into the context of their specific process needs, infrastructure constraints, and discharge requirements., • Lead technical support for RFP/RFQ responses, contributing process-level framing and technical positioning, while developing repeatable tools and resources that enable the broader team to support future opportunities., • Conduct and oversee preliminary site assessments and technical fit evaluations for prospective deployment sites, personally leading strategic or complex opportunities while helping establish scalable qualification processes., • Help shape the growth of CREW’s technical solutions capability by mentoring future team members, refining customer engagement processes, and contributing to hiring, onboarding, and organizational development as the team expands., • Identify, develop, and manage strategic partnerships with utilities, municipal water authorities, engineering firms, and co-deployment partners., • Work in close coordination with the Commercial Team to own senior-level relationships at target accounts — utility directors, chief engineers, operations leads — particularly trust-based, multi-year partnerships that require sustained senior engagement., • Contribute to CREW’s external technical positioning via white papers, abstracts, peer-review papers, presentations — helping shape how the company talks about its technology with the engineering and operations community., • Contribute process and mechanical engineering judgment across both design review and active deployments — a technical resource for Operations and Wastewater Engineering when design or field questions arise. Experience Requirements • Bachelor’s degree (required) in Environmental Engineering, Chemical Engineering, Civil Engineering, or a related field; a Master’s or PhD degree is a bonus., • 10+ years of experience in wastewater process engineering, biological treatment design, or related fields., • Strong understanding of wastewater treatment processes, including nutrient removal, solids handling, and pH and alkalinity control., • Experience developing and reviewing PFDs, P&IDs, site layouts, mass balance calculations, and process unit design., • Exceptional technical writing skills, with the ability to translate complex process science into clear, defensible documents for utility executives, consulting engineers, and other stakeholders., • Familiarity with process modeling tools (BioWin, SUMO, GPS-X, ASM libraries, or equivalent)., • Familiarity with analytical methods used in wastewater and aqueous chemistry system characterization (e.g., IC, TIC, ICP) and ability to interpret analytical data.and experience with statistical programming and modeling (e.g., Python, R, MatLab)., • Comfortable working in a rapidly evolving work setting and able to quickly synthesize new information to proactively adjust focus and maintain high-impact results., • Ability to travel 20-50% to project sites., • Professional Engineer (PE) license is a plus., • You practice extreme ownership (no task is too small)., • You love being in the trenches with your team and working with high empathy., • You have a growth mindset. Compensation Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of the total compensation and benefits package. Other benefits for eligible employees may include: equity through the form of option grants, flexible paid time off, 401(k) plan, well equipped office environment, and health benefits offerings. The expected base salary range for this role is $150,000 – $200,000. This range represents the company’s estimate for this position at the time of posting however actual compensation may vary based on skills, experience, location, role scope, and business needs. CREW Highlights • _ with the Frontier Climate Fund in 2024, • in 2024 to be a potential supplier of high-quality carbon credits to the federal government, • _ by US Senator Chris Murphy in 2024, • _, the leading water sector innovation accelerator in 2024, • _ as “One of the Most Promising Climate-Tech Startups of 2023 CREW Carbon is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We have strict wage minimums, generous benefits, and personal leave policies. Our goal is to provide safe, rewarding, and empowering work environments for all who interact with our company.

Senior Geotechnical Engineer - Numerical Modelling & Seismic Analysis New York City, NY A leading geotechnical engineering consultancy in New York City is seeking a Senior Geotechnical Engineer with strong numerical modelling and advanced geotechnical analysis experience to join and help lead its technical team. The group is involved in the design and analysis of complex geotechnical systems for major infrastructure, transportation, waterfront, and building projects across the United States and internationally. The role focuses on advanced analysis and engineering evaluation of soil-structure interaction, foundation systems, and seismic performance. Role Overview The successful candidate will contribute to the technical delivery of complex geotechnical projects, with a focus on numerical modelling, seismic analysis, and advanced foundation engineering. The position also includes coordination with project teams, mentoring of junior engineers, and client-facing technical support. Key Responsibilities • Perform and review numerical modelling and geotechnical analyses including settlement, excavation, and foundation behaviour, • Conduct seismic and site response analyses for infrastructure and building projects, • Support the design and evaluation of deep foundations, excavation support systems, and earth-retaining structures, • Prepare technical reports, design calculations, and engineering recommendations, • Support project delivery including schedules, budgets, and coordination with multidisciplinary teams, • Provide technical guidance and review of work completed by junior engineers, • Engage with clients on technical matters as required Requirements • Master's degree in Civil or Geotechnical Engineering (PhD Preferred), • 10+ years of relevant geotechnical engineering experience, • Professional Engineer (PE) license, • Strong experience in numerical modelling and advanced geotechnical analysis, • Proficiency with tools such as PLAXIS, FLAC, DEEPSOIL, or equivalent software, • Strong understanding of seismic analysis and soil-structure interaction principles, • Experience with geotechnical design for infrastructure or building projects in an urban environment, • Strong written and verbal communication skills What's on Offer • Opportunity to join a highly regarded geotechnical engineering group with a strong technical reputation, • Exposure to complex infrastructure and building projects in the US and internationally, • Strong emphasis on advanced engineering analysis and technical development, • Collaborative working environment with experienced senior engineers, • Competitive compensation package aligned with experience and responsibility, • Comprehensive benefits package including medical, dental, vision, 401(k), paid time off This is a confidential search. Interested candidates are invited to apply or contact us for further information.

Advanced degree (Master’s or PhD) in Mechanical Engineering, Chemistry, Physics, or Biology. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. Generate, review, and refine questions and solutions based on real-world me

$80 - $90/hourpayadvanced mathematicsmathematical problem-solvingacademic writingcontent review and editingremote team collaborationmicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Role Title: Math Expert (PhD) Role Type: Contractor Location: Remote micro1 is engaging Math Experts (PhD) to contribute to an advanced AI training project for a customer. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work • Develop and provide comprehensive, accurate, and insightful responses to complex mathematics prompts spanning undergraduate and graduate curricula., • Review, refine, and deliver "golden responses"—high-quality model answers that exemplify subject mastery for use in AI training., • Collaborate with a distributed team of experts to ensure clarity, precision, and educational value in all mathematics content produced., • Analyze and interpret intricate mathematical problems, proofs, and concepts, distilling them into structured and accessible explanations., • Contribute feedback to improve project guidelines, response standards, and content workflows as the engagement evolves., • Adhere to project requirements regarding format, quality, and timeliness of deliverables. Preferred Qualifications • PhD in Mathematics or closely related discipline from an accredited institution., • Proven track record of academic excellence and subject-matter expertise, especially at the graduate level., • Exceptional written and verbal communication skills; ability to articulate complex concepts clearly and succinctly., • Experience authoring or reviewing mathematics materials, such as textbooks, exams, problem sets, or journal articles., • Familiarity with various branches of pure and applied mathematics., • Demonstrated attention to detail and commitment to producing precise, high-quality work., • Adaptability and openness to collaborative, iterative feedback in a remote expert network environment.

Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Key Responsibilities: • Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development, • Independently lead small research projects while collaborating with team members on larger initiatives, • Design, run, and analyze scientific experiments to advance our understanding of large language models, • Optimize and scale our training infrastructure to improve efficiency and reliability, • Develop and improve dev tooling to enhance team productivity, • Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications: • Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field, • Strong software engineering skills with a proven track record of building complex systems, • Expertise in Python and experience with deep learning frameworks (PyTorch preferred), • Familiarity with large-scale machine learning, particularly in the context of language models, • Ability to balance research goals with practical engineering constraints, • Strong problem-solving skills and a results-oriented mindset, • Excellent communication skills and ability to work in a collaborative environment, • Care about the societal impacts of your work Preferred Experience: • Work on high-performance, large-scale ML systems, • Familiarity with GPUs, Kubernetes, and OS internals, • Experience with language modeling using transformer architectures, • Knowledge of reinforcement learning techniques, • Background in large-scale ETL processes You'll thrive in this role if you: • Have significant software engineering experience, • Are results-oriented with a bias towards flexibility and impact, • Willingly take on tasks outside your job description to support the team, • Enjoy pair programming and collaborative work, • Are eager to learn more about machine learning research, • Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects, • Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research, • View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximize the impact of your insights, • Have ambitious goals for AI safety and general progress in the next few years, and you're working to create the best outcomes over the long-term. Sample Projects: • Optimizing the throughput of novel attention mechanisms, • Comparing compute efficiency of different Transformer variants, • Preparing large-scale datasets for efficient model consumption, • Scaling distributed training jobs to thousands of GPUs, • Designing fault tolerance strategies for our training infrastructure, • Creating interactive visualizations of model internals, such as attention patterns At Anthropic, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech. If you're excited about pushing the boundaries of AI while prioritizing safety and ethics, we want to hear from you! The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 - $850,000 USD Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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. We are seeking a highly motivated Computational Nuclear Engineer to join our team, focusing on neutronics and multiphysics simulations for stellarator fusion systems. The ideal candidate will possess a strong background in computational transport methods, with a particular emphasis on multiphysics reactor design, dose rate calculations, and radiation shielding optimization. You will work with minimal supervision, contributing to cutting-edge research and development to ensure the safety and performance of Thea Energy's stellarator systems. Key Responsibility Areas: • Develop and implement advanced workflows for high-fidelity neutronics and related multiphysics simulations in complex 3D stellarator geometries., • Conduct simulations of fusion blanket performance, including tritium breeding ratios (TBR), energy deposition, material activation, radiation shielding, and more., • Collaborate with cross-disciplinary teams to perform multiphysics coupling (e.g., neutronics to thermal-hydraulics or structural analysis) to refine reactor designs., • Perform dose rate calculations and design optimized shielding solutions for personnel and sensitive equipment., • Prepare technical reports, presentations, and publications based on simulation results and optimization findings. Ideal Experience & Skillsets: • PhD in Nuclear Engineering, Computational Physics, Applied Physics, or a related field with 2+ years of experience; or a Master's degree in a relevant field with 4+ years of experience., • Strong knowledge of Monte Carlo radiation transport codes (e.g., OpenMC, MCNP, Serpent)., • Proficiency in programming languages commonly used in scientific computing, specifically Python and C++., • Proficiency in modern scientific software development best-practices (e.g. git, GitHub, CI), • Experience in multiphysics coupling frameworks (e.g., MOOSE, Cardinal, NekRS)., • Excellent analytical, problem-solving, and communication skills. Preferred Skills: • Experience with nuclear data processing and libraries (e.g., NJOY). Experience with deterministic neutron transport solvers (e.g. Atilla, OpenSN), • Familiarity with High-Performance Computing (HPC) environments and parallel programming (MPI/OpenMP)., • Background in applying machine learning techniques to optimize nuclear simulation results or data handling., • Understanding of fusion-specific nuclear challenges, such as first-wall material damage and tritium fuel cycle management. Personal Attributes: • Ability to work independently and manage projects with minimal supervision in a startup environment., • 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., • Persistent optimism and a willingness to take on tough challenges., • Excited to think creatively about solutions to difficult problems and not relying solely on what has been done before. Company Benefits: • Salary range: $120,000-$180,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTO It's not necessary to meet all of the skillsets outlined above. Please feel free to send us a note and tell us why you would still be a great fit for this role or Thea Energy. Diversity and Inclusion: Thea Energy is an equal opportunity employer committed to creating a company of diverse backgrounds. By creating a diverse environment, we will bring new ideas and approaches to solving some of the world's hardest (and most important) problems. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, family or marital status, age, disability, veteran's status, or other characteristic protected by applicable laws and regulations.

Advance your career. Advance the world. At AMD, we believe technology has the power to solve the world's most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future. Whether you're designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we'll advance your career. As an AMD intern or co-op, you'll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers. You'll do important work, learn new skills, expand your network, and gain real-world experience on projects that impact millions of end-users worldwide. Whether you're an undergrad or a PhD student, your contributions matter—and your experience here will be a launchpad for what comes next. Job Details: • Locations: Austin, TX, Boxborough, MA, Fort Collins, CO, Longmont, CO, Fishkill, NY, Rochester, NY, Secaucus, NJ, • Onsite/Hybrid: This role requires the student to work full time (40 hours a week), in either a hybrid or onsite work structure throughout the duration of the co-op/intern term, • Duration:, • Spring/Summer Co-op: January 25, 2027 - August 13, 2027, • Summer Internship:, • Semester Students: May 24, 2027 - August 13, 2027, • Quarter Students: June 21, 2027 - September 10, 2027, • Summer/Fall Co-op:, • Semester Students: May 24, 2027 - December 10, 2027, • Quarter Students: June 21, 2027 - December 10, 2027 What You Will Be Doing: We are seeking a highly motivated Hardware Design Verification engineering intern/co-op to join our team and work towards design, built, and delivery of AMD's high-end Machine Intelligence products. In this role you will participate in one or more of (but not limited to) the below assignments: • Collaborate with senior engineers and/or designers to build and complete performance verification test plan, simulation test cases and models, • Write scripts related to tracking and managing compute resources using Perl/Python, • Test regression flows written in Perl/Python/MySQL/PHP to support our project development, • Review new tools, processes and options to improve simulation performance, team efficiency and reduction of duplications, • Support debugging, improving test cases/models and Verilog/system Verilog coding, • Build test platforms and perform system level testing, • Production validation tasks, testing the integrated hardware and software functionalities to ensure problem-free production, • Use software and other tools to engage in low level testing of hardware/software features, debugging technical issues and identifying root cause Who We Are Looking For: • You are currently enrolled in a United States based University in a Bachelor's program majoring in Electrical engineering or Computer engineering or a related field, • If you have knowledge / experience with any of the following technical skills (or related areas) and are enthusiastic about this role, we strongly encourage you to apply:, • Programming languages and scripts such as C++ /Python /C /Perl /Shell /UVM, • Verilog and System Verilog, • Good understanding of the digital systems and computer organization, • Building a PC from individual components, installing OS/drivers, basic network configuration, graphic cards CPU/APU, • System level hardware and software design, • Development and debugging in Linux / Unix / Windows environments, • Fundamentals of logic design (FSM, gates, registers, flops, timing, HDL), • An understanding of analog and digital transistor device behavior, • Oscilloscopes, volt meters, logic analyzers, multimeters and other lab equipment Note: By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of our intern opportunities, a recruiter will contact you. This role is not eligible for visa sponsorship. Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here. This posting is for an existing vacancy.

This opportunity entails being responsible for the production and modification of design calculations, technical reports, engineering plans and specifications for assigned electrical projects, that may include low and medium voltage power distribution, emergency and standby power systems, highway lighting, aesthetic lighting, security (CCTV, access control), public address systems, movable bridges, tolling infrastructure primarily for the transportation industry. At HNTB, you can create a career that is meaningful to you while building communities that matter to all of us. For more than a century, we have been delivering solutions for some of the largest, most complex infrastructure projects across the country. With our historic growth, it is an exciting time to join our team of employee-owners. • Uses senior-level technical expertise to consider broad range of engineering solutions., • Responsible for the discipline-specific planning, work distribution, and leadership and adherence to the schedule, and budget on complex or unusual engineering projects., • Assists in marketing responsibilities, including proposal generation., • Develops scope of work and level of effort and manages adherence to scope and budget on complex or unusual engineering projects within discipline., • Oversees completeness and accuracy of project team's work within the technical discipline., • Provides technical guidance and mentoring to team members to achieve overall project objectives on complex or unusual engineering projects., • Coordinates technical aspects of the project with client counterpart and teaming partners at staff level for work within the discipline on complex or unusual engineering projects., • Leads discipline delivery on larger, multi-disciplinary projects. Works closely with other disciplines on multi-discipline projects., • Assists with coordination and planning of schedules, hours, and distribution of work for other disciplines on multi-discipline projects on complex or unusual engineering projects., • Recruits, hires, develops and retains staff, including development of plan for staff reporting, performance and compensation reviews, and succession. Coordinates schedules and approves timecards., • Performs other duties as assigned., • Bachelor's degree in Engineering and 8 years of relevant experience, or, • Master's degree in Engineering and 7 years of relevant experience, or, • PhD in Engineering and 6 years of relevant experience, • Task lead for various power and communications infrastructure design including street lighting, traffic signals, area lighting, pedestrian lighting, aesthetic lighting and other electrical systems., • Work closely with other disciplines on multi-discipline projects including other HNTB offices., • Professional Engineer (PE) license. Locations: Newark, NJ, New York, NY, Parsippany, NJ (Fairfield) The approximate pay range for New York is $110,384.86 - $215,816.57. The approximate pay range for New Jersey is $121,423.35 - $207,183.90. The approximate nation wide pay range for this position is $110,384.86 - $215,816.57. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual's qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state. Visa sponsorship is available for this position. NOTICE TO THIRD-PARTY AGENCIES: HNTB does not accept unsolicited resumes from recruiters or agencies. Any staffing/employment agency, person or entity that submits an unsolicited resume to this site does so with the understanding that the applicant's resume will become the property of HNTB. HNTB will have the right to hire that applicant at its discretion and without any fee owed to the submitting staffing/employment agency, person or entity. Staffing/employment agencies who have fee agreements with HNTB must submit applicants to the designated HNTB recruiter to be eligible for placement fees.

One of the fastest-growing and most trusted companies in blockchain security, CertiK is a true market leader. To date, CertiK has worked with over 3,200 Enterprise clients, secured over $310 billion worth of digital assets, and has detected over 60,000 vulnerabilities in blockchain code. Our clients include leading projects such as Aave, Polygon, Yearn, and Chiliz. We are seeking security research interns to join a top-notch security research team. We are working on a wide range of security research topics, including malware analysis, vulnerability detection, network anomaly detection, mobile app analysis, reverse engineering, and fraud detections. Multiple research tasks are ready to be explored. Responsibilities • Develop analysis tools to facilitate security discovery and design mitigation techniques to deter security threats., • Review system implementation of sandbox, VM, network modules, and critical distributed system., • Perform vulnerability discovery and develop PoC exploits to large distributed system implementations., • Publish research findings in related academic and industry venues. Requirements • Pursuing Masters or PhD in Computer Science or Cybersecurity related field., • Experiences in vulnerability discovery and exploitation on web applications or system software. Preferred • Experiences in WASM or Rust/Go development is a plus., • CTF experiences are a plus as well. Compensation $3000 - $8000/month (Full Time). The exact compensation at which this internship is filled will be determined by the skills and experience of qualified candidates. CertiK accepts applications on an ongoing basis for this position until it is filled. The approximate date of closing will be April 30, 2024. CertiK is proud to offer medical, vision, and dental insurance, 401(k) plan with company matching, life and accidental death and dismemberment insurance, HSA (with high deductible plan), FSA, and other benefits to all full-time employees, along with flexible paid time off and holidays. CertiK also offers a variable commission program for business development sales roles. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. CertiK is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, medical condition, national origin, ancestry, citizenship, marital status or civil partnership/union status, physical or mental disability, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law. CertiK will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements.

SiTime is the Precision Timing company. Timing is the heartbeat of all electronics, ensuring performance, resilience, and scalability. For decades, quartz devices, non-silicon technology, have kept systems in sync, but they struggle in harsher, more demanding environments. MEMS-based Precision Timing delivers greater accuracy, smaller size, and resilience. Today, MEMS timing powers over 400 applications, including high-growth ones in AI datacenters, automated driving, industrial and humanoid robots, wearables, and IoT. Our semiconductor MEMS programmable solutions offer a rich feature set that enables customers to differentiate their products with higher performance, smaller size, lower power, and better reliability. With more than 4 billion devices shipped, SiTime is changing the timing industry. The Analog Mixed Signal Designer II contributes to building precision timing circuits, leveraging SiTime's industry-leading MEMS technology, that span high-performance networking and communications infrastructure market application requirements and ultra-low power mobile platforms including wearable devices. • Design of analog and mixed-signal circuits, meeting their architectural requirements and technical specifications, • Contribute to the architectural definition of the design, and also to chip integration, • Perform the necessary calculations, design, and verification simulations to ensure building blocks meet specifications, at the schematic level and after post layout extraction, while fully provisioning for DFT and DFM, • Work closely with Layout Designers to ensure the layout is completed properly, using all best known methods, • Document assigned blocks, and hold preliminary and final design reviews, • Actively participate in the chip bring up, evaluation, and characterization, with emphasis on owned blocks, • Address questions and issues related to his/her blocks raised by cross-functional personnel, such as Product, Characterization, Test, or Application Engineers., • Drive other projects as needed by management or as business needs change, • MS Degree in Electrical Engineering with minimum 3 years of related experience, or PhD preferred with no minimum work experience, • Design expertise in one of the following areas:, • PLLs: Sigma-Delta and LC, • ADCs: preferably > 14 ENOB, • Temperature Sensor, • Quartz or MEMS Oscillator, • Sub-threshold circuits, • Low-noise regulator and Band gaps, • Knowledge of programming languages: Matlab, VerilogA, Oceanscript, • Ability to oversee circuit layout for critical blocks, • Ability to perform noise analysis, • Excellent written and verbal communication skills required, • Ability to work well with others in a collaborative, fast-paced team environment At SiTime, we believe great work deserves great rewards. We offer a comprehensive and highly competitive compensation package designed to attract top talent. In addition to base salary, this role is eligible for a quarterly bonus tied to the achievement of innovation goals—reflecting our commitment to recognizing meaningful impact. We also offer equity grants, providing a meaningful opportunity to share in the company's future growth and success. SiTime is an Equal Opportunity Employer. We treat each person fairly and we do not tolerate discrimination or harassment against anyone on the basis of any protected characteristics, including race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, pregnancy, political affiliation, protected veteran status, protected genetic information, or marital status or other characteristics protected by law. Learn more about SiTime: Review the Get to Know SiTime section of our career page to explore our culture, values, and what makes us unique. • Innovation on Top – Philosophies of Innovation with Rajesh Vashist, • Fabrication Knowledge – An Interview with Rajesh Vashist, • SiTime Corporation – YouTube

Haize Labs haizes LLMs at scale. We are the robustness layer eliminating the risk of using language models in any setting. To prevent these systems from failing, we preemptively discover all the ways in which they can fail and continuously eliminate them in deployment. We are looking for Research Interns to help us to develop fundamental safety tooling for LLMs. Your work will not only set the standard both in terms of research, but also in terms of how LLMs are tested, verified, and applied across customers, companies, and industries. You will directly influence how the world responsibly uses LLMs. Responsibilities • Work directly with customers to adapt our core R&D for different domains., • Build out core infra, cloud tooling, and UX around our algorithms., • Deliver a delightful human-in-the-loop product experience., • Ship tools that are used by developers across the world. Qualifications • Experience with ML in an applied setting., • Strong open source presence or strong track record of software engineering projects and employment., • Can ramp up very quickly on understanding our research., • Love to break things, i.e. have a "stick it to the Man" attitude. Annual Salary $125,000 – $200,000 USD Location policy: 6 days a week, in person, in NYC. US visa sponsorship: If you are exceptional, we will sponsor your visa. We encourage you to apply even if you do not believe you meet every single qualification: We're open to considering a wide range of perspectives and experiences, and would love to chat with you. Compensation and Benefits: Haize Lab's provides generous salary, equity, and benefits. We are not here to write GPT wrappers or get rich quick off the AI bubble. We're here to work on the hardest, most fundamental research problem in AI: making it reliable and robust. Come here to push yourself, learn fast, experience excellence, and kickstart your life's work. We value our team above all else, and firmly believe that greatness begets greatness. Since starting 6 months ago, we've developed a suite of safety tools that's being used at places like Anthropic, AI21, Scale AI, and several other foundation model providers. We've been fortunate enough to be backed by the founders of Cognition, Hugging Face, Weights and Biases, Nous, Etched, Okta, Replit as well as rockstar AI and security executives from Stripe, Anduril, and Netflix. We're lucky to be advised by professors from CMU and Harvard. Our founding team has been working together for quite some time. We are turning down our Stanford PhD offers to send it on Haize Labs, have gotten into Y Combinator and other accelerators multiple times (and turned down multiple times), were the first Student Researcher at Allen AI, co-led R&D at a Series A NLP startup, wrote ML-guided matchmaking services for 50,000+ students, built an educational nonprofit supporting 60 countries, and did some other cool things along the way.

New York, NY (Hybrid) Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere. Our AI research team sits at the heart of our mission to unlock new dimensions of biological understanding. You will leverage state-of-the-art AI to accelerate discovery and drive transformative insights in biology—developing novel AI models purpose-built for biological research, engineering robust systems that enable breakthrough science at unprecedented scale, and translating these advances into practical tools that empower researchers worldwide. Our approach is comprehensive and integrated, bringing together world-class AI model development, exceptional engineering talent, high-quality biological data, powerful computing infrastructure, and strategic partnerships. Success requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency; executing a sophisticated data strategy that fuels AI development; operating a world-class AI compute platform; and creating impactful products that transform AI capabilities into accessible scientific tools. This is an opportunity to shape the future of biological research by pushing the boundaries of what AI can achieve in science. You'll work alongside leading experts in AI and biology, with the resources and mandate to tackle some of the most important questions in human health—advancing frontier AI research, accelerating engineering velocity, connecting rich biological data to AI systems, enabling reliable compute across environments, and translating models and data into usable, scalable applications that drive scientific impact for the public good. The Staff Research Scientist is part of the AI Research team, which focuses on training AI models in biology and reasoning at the frontier of data, scale and compute. We are a mostly flat organization of researchers to enable rapid and dynamic AI development. • Rigorously think through important open scientific questions that don't have textbook answers., • Design and build safety evaluations to understand AI capabilities at the frontier of biology., • Collaborate closely with scientists across Biohub to build safeguards that are robust to potential misuse, enabling our AI systems to be used for maximum societal benefit., • Gain direct access to a network of leading external experts and Biohub partners for collaboration and to inform your safety work., • Monitor capability advancements and emerging technologies across AI and assess how these advances impact the robustness of our safeguards., • Partner closely with colleagues to develop, implement, and evolve our frontier safety policy., • Communicate our safety work to internal teams as well as external partners., • PhD in computer science or a related field, or equivalent experience., • Expertise in biological sciences., • Significant experience building, using, and/or evaluating deep learning systems, ideally in research-driven environments., • Strong engineering and scientific fundamentals., • Comfort with ambiguity, rapid iteration, and loosely-defined research problems., • Strong communication skills across technical and scientific audiences., • Interest in shaping the frontier of safety for AI & biology, no prior safety experience required. The New York City, NY base pay range for a new hire in this role is $241,000 - $301,000. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Pay ranges outside New York City, NY are adjusted based on cost of labor in each respective geographical market. Your recruiter can share more about the specific pay range for your location during the hiring process. This position may be eligible to participate in our discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with our total rewards philosophy and may vary by role. As we grow, we're excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team's manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process. We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. • Provides a generous employer match on employee 401(k) contributions to support planning for the future., • Paid time off to volunteer at an organization of your choice., • Funding for select family-forming benefits., • Relocation support for employees who need assistance moving

Advance your career. Advance the world. At AMD, we believe technology has the power to solve the world's most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future. Whether you're designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we'll advance your career. As an AMD intern or co-op, you'll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers. You'll do important work, learn new skills, expand your network, and gain real-world experience on projects that impact millions of end-users worldwide. Whether you're an undergrad or a PhD student, your contributions matter—and your experience here will be a launchpad for what comes next. Job Details: • Locations: Austin, TX, Boxborough, MA, Fort Collins, CO, Longmont, CO, Fishkill, NY, Rochester, NY, Secaucus, NJ, • Onsite/Hybrid: This role requires the student to work full time (40 hours a week), in either a hybrid or onsite work structure throughout the duration of the co-op/intern term, • Duration:, • Spring/Summer Co-op: January 25, 2027 - August 13, 2027, • Summer Internship:, • Semester Students: May 24, 2027 - August 13, 2027, • Quarter Students: June 21, 2027 - September 10, 2027, • Summer/Fall Co-op:, • Semester Students: May 24, 2027 - December 10, 2027, • Quarter Students: June 21, 2027 - December 10, 2027 What You Will Be Doing: We are seeking a highly motivated Hardware Design Verification engineering intern/co-op to join our team and work towards design, built, and delivery of AMD's high-end Machine Intelligence products. In this role you will participate in one or more of (but not limited to) the below assignments – • Collaborate with senior engineers and/or designers to build and complete performance verification test plan, simulation test cases and models, • Write scripts related to tracking and managing compute resources using Perl/Python, • Test regression flows written in Perl/Python/MySQL/PHP to support our project development, • Review new tools, processes and options to improve simulation performance, team efficiency and reduction of duplications, • Support debugging, improving test cases/models and Verilog/system Verilog coding, • Build test platforms and perform system level testing, • Production validation tasks, testing the integrated hardware and software functionalities to ensure problem-free production, • Use software and other tools to engage in low level testing of hardware/software features, debugging technical issues and identifying root cause Who We Are Looking For: • You are currently enrolled in a United States based University in a Master's program majoring in Electrical engineering or Computer engineering or a related field, • If you have knowledge / experience with any of the following technical skills (or related areas) and are enthusiastic about this role, we strongly encourage you to apply –, • Programming languages and scripts such as C++ /Python /C /Perl /Shell /UVM, • Verilog and System Verilog, • Good understanding of the digital systems and computer organization, • Building a PC from individual components, installing OS/drivers, basic network configuration, graphic cards CPU/APU, • System level hardware and software design, • Development and debugging in Linux / Unix / Windows environments, • Fundamentals of logic design (FSM, gates, registers, flops, timing, HDL), • An understanding of analog and digital transistor device behavior, • Oscilloscopes, volt meters, logic analyzers, multimeters and other lab equipment Note: By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of our intern opportunities, a recruiter will contact you. This role is not eligible for visa sponsorship. Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here. This posting is for an existing vacancy.

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Everpure is seeking a Director, GTM Economics & Science to drive go-to-market (GTM) efficiency by leading our causal measurement science vision. You will lead the development of advanced statistical methodologies to measure the incrementality of sales headcount, incentive investments, and customer-facing activities (e.g. workshops, proofs of concept, enablement collateral, events). In this high-impact role, you will pioneer advanced statistical frameworks that separate true sales-driven lift from market noise, directly shaping global headcount planning and incentive designs. Collaborating closely with executive GTM Finance, Data Science, and Sales leadership, you will transform massive datasets into production-grade science deliverables that maximize global revenue and optimize ROI. WHAT YOU'LL DO • Own the Go-To-Market Causal Measurement Strategy: Architect and execute the long-term roadmap for measuring sales incrementality, partnering with senior Sales, Finance, and Operations executives to deliver highly accurate, actionable insights that guide global investment decisions., • Design and Deploy Advanced Causal Models: Build, validate, and scale state-of-the-art observational models (such as causal forests, panel methods, and uplift models) in R or Python to isolate true headcount-driven lift and incentive plan performance from external market demand and noise., • Drive Investment ROI and Strategic Allocation: Quantify the incremental impact of sales headcount, incentive modifications, and customer-facing programs (e.g., proofs of concept, workshops) for executive leaders (CFO, CRO, CMO) to directly influence headcount planning, NRR growth, and resource allocation., • Operationalize Production-Grade Data Pipelines: Partner with Data Engineering, Analytics, and GTM Operations to establish robust, stable, and maintainable pipelines and data infrastructure, translating complex econometrics into automated dashboards and reusable frameworks for continuous business planning. WHAT YOU BRING • PhD in Economics, Econometrics, or an equivalent quantitative discipline, such as Applied Economics or Quantitative Marketing, preferred., • Advanced Econometric & Causal Inference Expertise: Deep grounding in causal inference methodologies, including causal forests, treatment-effect heterogeneity, synthetic control, and difference-in-differences analyses., • Statistical Computing Fluency: Advanced proficiency in R, Python, or comparable statistical computing environments (such as causalTree, EconML, or statsmodels) to write clean, repeatable, and production-ready code., • Data Engineering & Production Deployment Experience: Demonstrated capability to architect, deploy, and scale production-grade causal analyses utilizing messy, complex business datasets (such as CRM, financial systems, or telemetry data) in partnership with data engineering teams., • Executive-Level Communication & Stakeholder Influence: Exceptional capacity to translate complex econometric and statistical results into clear narratives and strategic recommendations for non-technical corporate leaders., • Location: We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA or New York, New York office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave. Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations. This role may be eligible for incentive pay and/or equity. There is no application deadline and we accept applications on an ongoing basis until the job is filled. The annual base salary range is: $211,000—$338,000 USD WHAT YOU CAN EXPECT FROM US: • Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers., • Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!, • Team: We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out _for more information. ACCOMMODATIONS AND ACCESSIBILITY: Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at _ if you’re invited to an interview. OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM: We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire. Join us and bring your best. Bring your bold. Pure and simple.

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: Applied Chemistry Benchmark Specialist Type: Contract Compensation: $61–$77/hour Location: Remote Commitment: 10+ hours/week Role Responsibilities • Author original chemistry questions to test deep conceptual understanding., • Ensure questions are unambiguous and self-contained with all necessary information., • Rate each question's difficulty: Medium, Hard, or Expert., • Provide 1 correct answer and 9 plausible incorrect alternatives., • Write step-by-step Chain-of-Thought solutions in markdown format., • Supply 1–5 academic references per question from reputable sources., • For verification tasks, flag issues with clarity, completeness, or solvability. Qualifications Must-Have • PhD or doctoral candidate in Chemistry, Biochemistry, Chemical Engineering, or a related field., • Master's degree considered for candidates with exceptional depth in a specific subdomain., • Strong command of graduate-level chemistry concepts and quantitative analysis., • Excellent written English and ability to express complex ideas clearly. Preferred • Experience with rigorous academic problem design or chemistry olympiad writing. Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Computational Structural & Mechanical Engineering Expert Type: Contract Compensation: $70–$85/hour Location: Remote Commitment: 15–20 hours/week Role Responsibilities • Design challenging computational problems to evaluate AI capabilities in scientific research., • Develop problems requiring AI to execute complex workflows using specialized scientific software., • Test and refine problems against state-of-the-art AI models to achieve the desired difficulty., • Collaborate independently to improve problem designs and ensure strategic reasoning., • Utilize open-source computational tools like FEniCSx/DOLFINx, OpenFOAM, and others for problem creation. Qualifications Must-Have • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience)., • Proven proficiency with scientific software libraries through research publications or professional work., • Strong Python skills for writing problem setups and solution validators., • Ability to work independently and refine designs based on feedback., • Comfortable in a Linux/terminal environment with remote compute sandboxes. Preferred • Experience across multiple listed domains or tools., • Familiarity with benchmark or evaluation design., • Background in scientific teaching or exam/problem-set design., • Experience with computational reproducibility and containerized environments. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Molecular Biology Experts - US Type: Contract Compensation: $70–$105/hour Location: Remote Role Responsibilities • Collaborate with research and engineering teams to identify and address gaps in AI model molecular biology reasoning., • Design challenging, domain-specific tasks and document solutions, including primers for PCR, qPCR, plasmids, expression vectors, and CRISPR editing constructs., • Review molecular biology tasks and model outputs against expert-quality solutions, providing clear feedback on correctness and biological reasoning., • Develop guidelines and rubrics for sequence design quality, focusing on primer melting temperature, specificity, and codon optimization., • Work with other subject matter experts to ensure training data consistency and accuracy. Qualifications Must-Have • PhD strongly preferred in molecular biology, genetics, biochemistry, synthetic biology, bioengineering, or related life science field., • Experience designing nucleic acid constructs, including primers, plasmids, vectors, gRNA, sgRNA, mRNA, and HDR templates., • Strong peer-reviewed publication record, especially first-author work in journals like Nature, Cell, and PNAS., • Ability to commit to at least 20 hours/week on weekdays., • Strong written communication skills. Preferred • Previous experience in AI training, model evaluation, or data annotation. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Applied Computer Science Benchmark Specialist Type: Contract Compensation: $66–$84/hour Location: Remote Commitment: 10+ hours/week Role Responsibilities • Author original computer science questions to test deep conceptual understanding. Ensure questions are unambiguous, self-contained, and precisely defined., • Rate each question's difficulty as Medium, Hard, or Expert. Provide 1 correct answer and 9 plausible but subtly incorrect alternatives., • Write step-by-step Chain-of-Thought solutions in markdown format. Supply 1–5 academic references per question from reputable sources., • For verification tasks, review pre-written questions for accuracy and clarity. Flag issues and justify any edits made., • Work independently and asynchronously to meet deadlines while advancing AI capabilities. Qualifications Must-Have • PhD or doctoral candidate in Computer Science, Electrical Engineering, or a closely related field., • Strong command of graduate-level CS theory, algorithms, systems design, and/or machine learning., • Excellent written English and ability to express complex ideas clearly and concisely. Preferred • Master's degree considered for candidates with exceptional depth in a specific subdomain., • Research publications, industry experience at top tech companies, or competitive programming background. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Scaled Cognition is the world’s only model lab dedicated exclusively to customer experience and pioneering agentic models purpose-built for reliable action-taking enterprise applications. Backed by Khosla Ventures, the company’s flagship Agentic Pretrained Transformer (APT) eliminates hallucinations, enforces enterprise policies and increases reliability in real-world CX workflows. Founded by serial AI entrepreneurs, former Microsoft Corporate Vice President of Conversational AI Dan Roth, and UC Berkeley AI Professor Dan Klein, and built by a team of world-class PhD researchers and engineers, Scaled Cognition advances the science of agentic AI to deliver safe, policy-aligned automation that enterprises can trust. As a Software Engineer, Product at Scaled Cognition you will: Develop and build intuitive user experiences and SDKs that are powered by our novel, intelligent models. Develop tools and infrastructure for simulation, evaluation, and deployment of next-generation AI systems. Work closely with research and infrastructure teams to translate cutting-edge model capabilities into delightful, reliable products. Prototype fast, learn continuously, and ship ambitious ideas that redefine what’s possible in intelligent software. You might be the right person for the job if you: Are passionate about building high quality products that solve real user needs. Are excited about building agentic systems and exploring what's possible at the frontier of AI capabilities. Thrive in ambiguous environments where you have the autonomy to define the path forward. Enjoy collaborating across disciplines — from product to AI research to infrastructure — to make something new work in the real world. Key Qualifications: 3+ years of software engineering experience. Strong proficiency with Python and TypeScript. Experience deploying secure, highly available customer-facing applications. Experience deploying secure, scalable, customer-facing applications in production. Familiarity with cloud architectures (AWS, GCP, Azure, etc.) and modern dev tooling. (Bonus) Experience with LLM APIs, SDK design, and interactive systems involving intelligent agents.

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