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Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its Design award winner for inclusivity for 2025. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview With the growth of our Android app, being the most used text-to-speech app in the Play Store, we find the need for a Senior Android Engineer to help us support the new user base as well as work on new and exciting projects to push us forward. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do • Owning major features and working closely with our design team - take ownership of features inside the app and become responsible of delivering high quality features, • Shape the future of our Android team, • Own, maintain and improve reliability metrics for key features, • Participate in discussions across different teams - Product, Design, Engineering, • Review pull requests, and support other teammates, • Handle critical issues or cope with unexpected challenges, • 5+ years of software engineering experience, • Familiarity with Android components, • Experience building or contributing to at least one Android app, • Product design intuition and user empathy, • Drive to push the boundaries of Android UI/UX, • Understanding of the importance of tests and how to approach writing tests, • Self-drive to improve the app and codebase above and beyond what's outlined in the spec, • Rock solid experience with Kotlin, Kotlin Coroutines, Kotlin Flow, Dagger 2, MVVM, Clean Architecture, Background Services, Music Player Service, Android Animations, Jetpack Navigation, JUnit tests, • Excellent communication skills, • User oriented problem solving approach, • Experience building, maintaining, or otherwise contributing to open source projects in Android, • Kotlin, • Kotlin Coroutines, • Kotlin Flow, • Jetpack Navigation, • Dagger 2, • Room, • Custom Views, Canvas & Paint, • Jetpack Compose, • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more. Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its Design award winner for inclusivity for 2025. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview With the growth of our Android app, being the most used text-to-speech app in the Play Store, we find the need for a Senior Android Engineer to help us support the new user base as well as work on new and exciting projects to push us forward. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do • Owning major features and working closely with our design team - take ownership of features inside the app and become responsible of delivering high quality features, • Shape the future of our Android team, • Own, maintain and improve reliability metrics for key features, • Participate in discussions across different teams - Product, Design, Engineering, • Review pull requests, and support other teammates, • Handle critical issues or cope with unexpected challenges, • 5+ years of software engineering experience, • Familiarity with Android components, • Experience building or contributing to at least one Android app, • Product design intuition and user empathy, • Drive to push the boundaries of Android UI/UX, • Understanding of the importance of tests and how to approach writing tests, • Self-drive to improve the app and codebase above and beyond what's outlined in the spec, • Rock solid experience with Kotlin, Kotlin Coroutines, Kotlin Flow, Dagger 2, MVVM, Clean Architecture, Background Services, Music Player Service, Android Animations, Jetpack Navigation, JUnit tests, • Excellent communication skills, • User oriented problem solving approach, • Experience building, maintaining, or otherwise contributing to open source projects in Android, • Kotlin, • Kotlin Coroutines, • Kotlin Flow, • Jetpack Navigation, • Dagger 2, • Room, • Custom Views, Canvas & Paint, • Jetpack Compose, • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more. Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Description Applied Physics is seeking a highly motivated Senior Electro-Optical Engineer to join our team. The successful candidate will be responsible for leading the development, design, and testing of optical systems for space-based applications. The ideal candidate will have a Bachelor's degree in Optical Engineering, Physics, or a related field and 5 or more years of professional experience, a Master's degree and 3 or more years of experience, or a related PhD. Qualifications: • Bachelor's degree in Optical Engineering, Physics, or related field; or equivalent combination of education and experience, • Experience fabricating, designing, or fielding tactical or space-based optical systems and relevant performance parameters, • Experience with integration, test, characterization, and/or verification of optical systems, • Lead a small optical engineering team as the Certified Principal Engineer (CPE) for the build and test of prototype or high TRL optical sensor hardware, • Perform optical analysis to determine ability of designed optical systems to meet specifications, • Work with Systems Engineering to perform system level design and decomposition into optical system requirements, • Participate in studies and system trades for enhanced capabilities, • Lead development of materials for program technical reviews and present data throughout the product development and maturation processes, • Procure optical components to specification to meet performance goals, • Lead development of build documents, hardware assembly, integration, test planning, and test execution of optical systems, • Report progress periodically to program leadership and external customers and clients, • Support spacecraft integration within a program coordinating across multiple disciplines to ensure requirements verification, • Participate in failure investigations and anomaly resolution boards, • Work with Certified Principal Engineers (CPEs), Responsible System Engineers (RSEs), designers, and test engineers to ensure smooth integration at the system level We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:We are seeking a highly motivated Plasma-Materials Scientist to join our team, focusing on plasma-facing material development. The ideal candidate will possess a strong background in the research and development of plasma-surface interactions, with particular emphasis on material survivability evaluation, plasma and heat-induced erosion processes, and plasma contamination effects in fusion-relevant environments. You will work with high autonomy and ownership, and contribute to cutting-edge research and development in Thea Energy’s stellarator systems.Key responsibilities: • Contribute to the construction and commissioning of a plasma device and diagnostics for exposing and evaluating plasma-facing material candidates., • Collaborate with plasma-material exposure facilities and use materials characterization tools for surface evaluation., • Provide technical guidance across team members in plasma device operation, plasma-material performance assessment and experimental planning., • Participate in stellarator plasma-facing component operational campaign planning., • Utilize computational and simulation tools to perform plasma-surface interaction simulations, thermal analysis, and contribute to multi-physics modeling efforts.Required Experience & Skillsets:, • Master's degree in materials science, engineering, applied plasma physics, chemistry, or a related field., • Knowledge of basic plasma physics., • Experience with vacuum systems., • Experience with experimental plasma setups and diagnostics such as industrial plasma sources, RF plasmas, spectroscopic diagnostics, laser-based diagnostics, and electrostatic probes., • Experience with surface analysis techniques such as electron microscopy, atomic-scale microscopy, and elemental composition analysis methods (e.g. XPS, EDX, Raman)., • Experience with one or more of the following: Python, MATLAB, FEA tools, COMSOL, C++, Fortran., • Ability to work independently and manage projects., • Strong attention to detail, • A passion for advancing fusion energy to commercialization., • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally.Ideal Experience & Skillsets:, • PhD in applied plasma physics or a related field., • Experience with fusion boundary plasmas and/or low-temperature plasmas., • Experience with linear plasma devices., • Experience in tokamak or stellarator divertor research., • Experience with ERO2.0, TRIDYN, SDTrimSP/TRIM, WALLDYN, or RustBCA.Company Benefits:, • Salary range $100,000-$160,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job Description We are seeking a Quantitative Researcher with 3+ years of experience to join a Systematic Macro Portfolio Manager at Capula. This is a high-impact role that sits directly within the PM’s investment group, with a particular focus on systematic strategies involving credit indices (e.g., CDX, iTraxx) and credit ETFs. Key Responsibilities: • Develop and enhance models for relative value trading and alpha generation across credit indices and credit ETFs., • Analyse credit market dynamics, including spread behavior, roll-downs, and liquidity patterns., • Implement tools to support signal generation, factor decomposition, and portfolio risk attribution., • A high-impact role with direct visibility to the trading desk and influence on real-time decision-making., • An intellectually stimulating environment with a strong culture of collaboration and curiosity, where innovation and creativity are encouraged., • We are looking for individuals who thrive on intellectual challenges and enjoy applying their analytical skills to complex problems. You are curious, driven, and excited by the prospect of making a tangible impact in the world of quantitative finance., • Have graduated with a masters or PhD in a highly quantitative discipline (e.g. Physics, Mathematics, Statistics, Engineering or another quantitative field), • A consistently strong academic record, • Strong Maths foundations (probabilities, statistics, analysis, linear algebra) and solid Programming Skills, • At least 3 years’ experience in quantitative research or strategy development, ideally within credit or macro trading environments., • Solid understanding of credit index products (e.g. CDX, iTraxx), credit ETFs, and related market structure., • Advanced proficiency in Python and experience working with time series and financial market data., • Master’s or PhD in a quantitative field (e.g., statistics, physics, applied mathematics). Capula is committed to supporting all employees in developing their careers and delivering their best work. We offer a collaborative and high-performance environment where portfolio managers are empowered with resources, autonomy, and the opportunity to make a significant impact. Benefits include: • A highly competitive base salary and discretionary bonus structure, reviewed annually, • 20 days of paid annual leave, plus public holidays, • Comprehensive medical and dental insurance, along with other core employee benefits, • Exceptional training, mentoring, and staff development opportunities to support continuous professional growth, • Exposure to a flat and agile organisational structure, enabling greater ownership and decision-making responsibility, • Onsite breakfast, lunch, and dinner provided daily in our employee restaurant, • Access to a dynamic, intellectually engaging team with cross-asset collaboration and open communication

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

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview: Thea Energy is hiring for a Director - Nuclear Engineering to lead our nuclear engineering team. This role will orchestrate the nuclear design and safety parameters essential to our first-of-a-kind integrated fusion system. You will be responsible for effectively leading and managing the day-to-day nuclear engineering program. Your efforts will directly contribute to the organization's success by ensuring safe, compliant, and efficient nuclear designs. Thea Energy’s dynamic team is made up of self-motivated individuals with an excitement for solving complex problems.Key Responsibility Areas: • Lead and grow a world-class team of nuclear engineers working on the cutting edge of commercial fusion power technology., • Direct the nuclear design of fusion systems, including blanket, shield, bioshield, and fuel cycle., • Manage the nuclear aspects of the system facility, including tracking and engineering the cascade of high-energy particles, managing activation products, and calculating dose rates., • Interface all aspects of safety, regulatory compliance, and environmental standards for the fusion device and facility., • Build organizational capabilities by recruiting and retaining talent, mentoring, and fostering professional growth., • Proactively collaborate and communicate with engineering system owners to prioritize and align development and execution with design schedules., • Be accountable for the quality and accuracy of the team's nuclear engineering work, reports, and presentations.Ideal Experience & Skillsets:, • MS or PhD in nuclear engineering., • 15+ years of work experience in nuclear engineering or a similar technical field., • Proven leadership experience in cutting-edge nuclear projects, such as fission reactor projects (e.g. small modular reactors, molten salt reactors, fast reactors, Gen-IV reactors) or accelerator projects., • Demonstrated experience thriving in a startup environment, with a track record of successfully building and managing teams., • Strong analytical skills and an understanding of the first principles of engineering., • A proven ability to motivate and catalyze teams into action through influence and strong leadership., • Excellent oral, written, and interpersonal communication skills, with the ability to translate complex business needs into technical solutions.Company Benefits:, • Salary range: $160,000-$230,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

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

Job DescriptionAbout Dyania Health Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate manual chart review of EMRs without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, deploying medical logic with temporal sensitivity to dynamically match changing patient characteristics to complex clinical trial criteria within the exact window when a given EMR may qualify for study protocol criteria. 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 needs Problem 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 vision Leadership, • 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, • 7+ years (Staff) or 10+ years (Senior Staff) of experience in AI/ML research or ML engineering, • Graduate degree in Computer Science, Engineering, or a related technical field, • Strong hands-on experience building, training, and deploying ML and AI models, including LLMs, • Deep understanding of model fundamentals and architecture design, • Proven ability to solve problems end-to-end, from research through implementation, • Advanced proficiency in Python for model development and training, • Experience customizing models rather than relying solely on pre-built solutions, • Ability to independently research, evaluate, and propose technical approaches Preferred Qualifications • Publication record in top-tier AI, NLP, or ML conferences, • Experience working with EMR or other complex clinical datasets, • Experience with multi-modal AI systems, • Prior senior or lead-level technical experience, • Familiarity with regulatory considerations for clinical AI systems, • Experience contributing to long-term technical strategy or system architecture, • PhD is welcome but not required Team Culture: • We lead with empathy for patients and our teammates, • We value small egos, self-awareness, and humility in our teammates, • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift, • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team, • We value open dialogue and brainstorming across multidisciplinary teams Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Benefits • Competitive Salary, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Remote work

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You'll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more. Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Description Summary/objective This position reports to the Chief Science Officer. We are seeking a passionate and experienced Analytical Chemist to join our team as a STEM Educator. This individual will play a key role in developing laboratory experiences that introduce students to advanced analytical chemistry techniques while fostering a love for science. You will instruct students in an analytical lab equipped with cutting-edge instrumentation, helping them gain exposure to professional methodologies and real-world applications. Why Join Us? • Be part of a mission-driven organization making a tangible impact on students' lives., • Work in a cutting-edge analytical lab with state-of-the-art equipment., • Collaborate with a dynamic team of educators and scientists dedicated to STEM education. (Full-Time Position, 40 Hours/Week, Monday–Friday, 8:00 AM – 4:00 PM) • Instruction and Mentorship:, • Design and deliver engaging, hands-on lessons for middle and high school students., • Explain complex analytical chemistry concepts in a way that is accessible and inspiring to students., • Provide mentorship and encouragement to students, nurturing their interest in STEM fields., • Train laboratory instructors and assistants on analytical instrumentation functions and use., • Train, advise and mentor participants of S2S’ pre-apprenticeship and apprenticeship program., • Lab Operations:, • Operate and maintain advanced analytical instruments, including HPLC, gas chromatography, mass spectrometry, UV/Vis spectroscopy, infrared spectroscopy, Inductively Coupled Plasma (ICP) spectroscopy, and other modern analytical laboratory tools., • Proficiency in wet chemistry techniques (assay development, sample and solution preparation, pH, dilution, and titrations)., • Guide students in performing experiments, analyzing results, and understanding data., • Ensure a safe and productive laboratory environment by following best practices in safety and instrument use., • Have a willingness to learn and instruct cross-discipline skills in STEM., • Curriculum Development:, • Develop and update curriculum content aligned with STEM educational standards and the goals of S2S., • Collaborate with the S2S team members to integrate analytical chemistry techniques and applications into current and future STEM experiences., • Community Engagement:, • Represent Students 2 Science in outreach efforts to schools, families, and partners., • Experience developing protocols, SOPs, or instructional guides., • Demonstrated experience with analytical techniques and method development (HPLC, gas chromatography, mass spectrometry, Inductively Coupled Plasma (ICP) spectroscopy, UV/Vis spectroscopy, and infrared spectroscopy). Candidates proficient at running, maintaining, and developing methods for GC and ICP are preferred., • Familiarity with maintaining and troubleshooting laboratory instrumentation., • Experience in teaching or mentoring middle and high school students preferred., • Ability to convey complex scientific concepts in an engaging and understandable manner., • A strong commitment to inspiring the next generation of scientists and promoting diversity in STEM fields., • Possess problem-solving and decision-making skills., • Highly organized with attention to detail., • Skill in using personal computers and a variety of software applications., • Excellent written and communication skills., • Detail oriented and work with a high degree of accuracy and efficiency., • Positive and happy demeanor - ability to work with others., • Must be self-directed and able to complete projects with limited supervision., • PhD in one or more STEM-related fields (Science, Technology, Engineering, and/or Mathematics), or equivalent related experience., • Health Insurance, • Flexible spending account, • Retirement plan, • Paid time off

Job Description Who We Are: Oppenheimer & Co. Inc. (“Oppenheimer”) is a leading middle-market investment bank and full-service broker-dealer. With roots tracing back to 1881, the Company is engaged in a broad range of activities in the financial services industry, including retail securities brokerage, institutional sales and trading, investment banking (both corporate and public finance), equity & fixed income research, market making, trust services and investment advisory and asset management services. Job Description: The firm is currently seeking a Senior Research Associate to join our Biotechnology equity research team. The position is located in New York City. As a Research Associate, you will work directly with the Senior Research Analyst on many aspects of the research process including: building and maintaining financial models, performing fundamental analysis and due diligence on biopharmaceutical companies, writing investment-driven research reports, developing and fielding industry surveys, attending medical and scientific conferences, and undertaking a wide array of industry analyses and competitive assessments. The associate will have broad exposure to company management and investor conferences, and will interface with key opinion leaders, institutional investor clients, and internal sales force and trading personnel. Our ideal candidate has an undergraduate degree in a related field of study, including biology, chemical engineering, biochemistry, biomedical engineering, biotechnology, molecular biology, genetics, or pharmacology. An advanced degree (MSc, PHd, MBA) is required. Minimum of two years of sellside equity research experience is required. The ideal candidate pays excellent attention to detail, is skilled at time management, has a strong work ethic, effective oral and written communication skills, and an outstanding academic record. A strong candidate is independently motivated, analytically-minded, and intellectually curious; possesses at least some experience with financial modeling and exposure to the equity markets; and, has a passion for life sciences investing. We look for people who possess the following characteristics: • Exceptional academic background., • A thorough understanding of the investment process and the ability to perform deep primary research., • Excellent quantitative and financial modeling skills. Associates are responsible for building and maintaining company financial models and for organizing and updating industry data., • Strong writing skills. Associates are responsible for authoring equity research reports, company initiations, industry reports, and marketing presentations—sometimes under tight time constraints., • Responsiveness, professionalism, and the ability to manage priorities to meet deadlines., • Experience in biopharmaceuticals equity research, drug development, or related field preferred., • Proficiency in Microsoft Office; FactSet, Bloomberg would be a bonus. For job postings in New York State, Oppenheimer is required by law to include a reasonable estimate of the salary range for this role. This salary range is specific to the State of New York and takes into account the wide range of factors that are considered in making salary decisions including but not limited to your skills, qualifications, experience, licensure and certifications, and other business and organizational needs. A reasonable estimate of the current base salary range is $150,000.00 - $200,000.00 at the time of this posting. Also, certain positions are eligible for additional forms of compensation such as discretionary bonus

Job Description Role Summary Lexeo is at an inflection point where AI and advanced analytics can materially accelerate decision-making across discovery, development, and operational execution. This Sr. Director will set direction and deliver applied AI/ML solutions across internal workflows and externally facing outputs, ranging from R&D insights to partner-ready analyses, while partnering closely with scientific teams and, when needed, external vendors/partners to solve real problems. This role is intentionally hands-on and outcome-driven: a leader who can build, validate, and operationalize models using real-world biopharma data to raise the signal-to-noise ratio in small or unstructured datasets (including synthetic control arm approaches where appropriate). Key Responsibilities AI/ML Strategy + Delivery * Define and execute Lexeo’s applied AI/ML roadmap across discovery and development, prioritizing use cases that improve speed, quality, and decision confidence. * Deliver solutions that are internal-only (e.g., scientific decision support, operational forecasting) and those that are generated internally but external-facing (e.g., partner-ready analyses (regulatory dossiers, briefing books, protocols etc.), validated dashboards, and decision materials). * Establish best practices for model lifecycle management (validation, documentation, monitoring, retraining), especially where outputs influence scientific decisions or regulated workflows. Advanced Analytics + Predictive Modeling * Lead development and selection of appropriate ML approaches (e.g., XGBoost, Random Forest, SVMs, and other advanced models) based on problem framing, data constraints, interpretability needs, and deployment context. * Build and oversee predictive analytics using real-world data, including robust evaluation design, bias/variance trade-offs, and performance monitoring. Small Data Excellence + Synthetic Controls * Apply techniques to amplify signal-to-noise in smaller datasets (e.g., regularization, Bayesian methods, hierarchical modeling, augmentation, multimodal integration, careful feature engineering, uncertainty quantification). * Guide strategy for synthetic control arms and comparable approaches (as appropriate), ensuring methodological rigor, transparency, and fit-for-purpose use in decision-making. Drug Discovery / Translational Partnership * Translate drug discovery and translational questions into testable analytical hypotheses; partner with bench scientists to design data capture that enables strong modeling. * Serve as a bridge between scientific teams and data/engineering, ensuring solutions are scientifically credible and operationally adoptable. Cross-functional Enablement + Platform Integration * Partner with stakeholders across R&D, CMC, Clinical, Safety, and IT/Security to implement scalable data pipelines and AI-enabled workflows. * Contribute leadership to current and emerging initiatives such as AI workflow automation/database buildouts and analytics agents that leverage enterprise platforms (examples already in motion include CMC AI automation, MaxisAI clinical database/AI efforts, and AI work to ingest historical data into Dataverse/Fabric for agent-based analysis; integration work such as a Benchling AI API initiative may also be in scope depending on priorities). External Partner/Vendor Leadership * Liaise with external partners to evaluate tools, define statements of work, and deliver solutions—while ensuring knowledge transfer and sustainable internal ownership. Operational Excellence * Improve internal processes through automation and analytics, focusing on measurable impact (cycle time, error reduction, throughput, decision latency). * Establish practical governance for data quality, documentation, and fit-for-use standards aligned with the realities of biopharma environments (including where regulated practices apply). What Success Looks like (First 6-12 Months) * A prioritized AI/analytics roadmap tied to measurable R&D outcomes; clear ownership and delivery cadence. * 2–4 production-grade analytics solutions adopted by teams (internal and/or external-facing outputs as needed). * A repeatable approach for small datasets and high-noise signals; documented modeling standards and review practices. * Strong partner engagement model: vendors/partners used strategically, with internal capability building and durable outcomes. Required Qualifications * Advanced degree in a quantitative or scientific discipline (PhD strongly preferred; MS with exceptional experience considered). * 10+ years of relevant experience across applied data science/ML in life sciences/biopharma (or adjacent domain with direct drug discovery translation), including 5+ years leading teams and influencing senior stakeholders. * Deep familiarity with advanced ML methods (including XGBoost, Random Forest, SVMs) and the judgment to select and justify the right tool for the job. * Demonstrated experience building predictive models with real-world, imperfect datasets and delivering them into production or decision workflows. * Proven ability to improve processes and operationalize analytics—moving beyond prototypes to adoption. * Strong cross-functional communication: can partner with scientists, engineers, and executives; can explain model performance and limitations clearly. Preferred Qualifications * Direct experience in drug discovery, translational research, and/or R&D decision support (target ID/validation, MoA, biomarker strategy, preclinical data integration). * Experience with small data strategies, causality-aware thinking, and synthetic control arms or closely related methodologies. * Experience operating in regulated/quality-sensitive environments and building documentation practices that scale (particularly relevant where validation and traceability are required) * Familiarity with enterprise data platforms and modern analytics stacks (lakehouse/warehouse patterns, feature stores, MLOps, model monitoring). Compensation is dependent on qualifications and experienceAbout Lexeo Lexeo Therapeutics is a clinical-stage genetic medicine company headquartered in New York City, pioneering cardiac genetic medicine candidates to treat the root causes of inherited cardiovascular diseases. Our lead program, LX2006, targets cardiomyopathy associated with Friedreich’s Ataxia and anchors a broader pipeline addressing genetically defined conditions such as hypertrophic and arrhythmogenic cardiomyopathies. Backed by a strong financial foundation, Lexeo is positioned to translate groundbreaking science into durable clinical impact. Our work culture is a hybrid model with 2 days/week in the New York City office and 3 days working from home. Lexeo Therapeutics is an EEO employer committed to an exciting, diverse, and enriching work environment. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionMission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies What You'll Do • Lead the design, architecture, and development of native Windows desktop applications using Windows App SDK, WinUI (or related UI frameworks), C#, XAML, and — when needed — C++., • Define and enforce best-practices for Windows desktop development across the codebase: code architecture, performance, memory usage, responsive UI, cross-version compatibility (Windows 10/11+), and maintainability., • Drive accessibility efforts: integrate and validate support for accessibility APIs (e.g. Microsoft UI Automation or other relevant Windows accessibility frameworks), ensure UI controls, focus management, keyboard navigation, screen-reader support, and usability for users with disabilities., • Collaborate closely with product designers, UX researchers, QA, and other stakeholders to shape feature planning, UI/UX architecture, and long-term roadmap for the Windows platform., • Take ownership of full lifecycle of features: conception → design → implementation → testing → release → maintenance. Ensure quality, reliability, and consistency across releases., • 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM)., • Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code., • Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability., • Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software., • Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant)., • Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions., • Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus., • Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks., • Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load)., • Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions., • Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications., • Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications., • A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience., • A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker., • Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect)., • Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision. Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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

Job Description At Solve Intelligence, we’re building something people actually want - and we have the revenue and traction to prove it. 🏗️ The Role: Full-Stack Account Executive Less than 24 months since launch, we are adding 7 figures of ARR per month. We’ve built a world-class team of AI PhDs, engineers, and patent attorneys. Now, we need a high-energy, ambitious GTM powerhouse to help us scale to $1B+ ARR. What you’ll own: * Build the GTM Motion: You aren't just following a playbook; you’re writing it. You'll architect our sales and growth strategy from the ground up. * Lead Generation & Networking: Smash outbound targets, leverage your network, and represent Solve at global IP conferences to book demos and win over key decision-makers. * Product Demos: Show the world the future of IP. You’ll teach leaders how to leverage AI to transform their workflows. * Closing Deals: Full-cycle ownership from lead to close, working with our Technical IP team to ensure seamless onboarding. * Product Influence: Act as the bridge between the market and our AI researchers. Your feedback will directly shape the product roadmap. 💡 About Solve Intelligence We are the fastest-growing startup transforming Intellectual Property. Our AI-powered platform handles invention harvesting, patent generation, and portfolio management. * Growth: 20-30% MoM revenue growth. * Market: 300+ IP teams globally, including Tier-1 firms like DLA Piper and major tech enterprises. * Impact: Users report 50-90% efficiency gains. * Backing: Recently featured in Sifted following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Y Combinator, 20VC, Visionaries and others. 👋 Who You’ll Work With You’ll be joining a founding team with deep pedigree: * Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired). * Chris (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute. * Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard). 🚀 Who You Are We are a high-performance culture. To thrive here: * You move fast: You prioritize speed and aim to close deals in days, not months. * You are a "grinder": You have a relentless work ethic and take extreme ownership of outcomes. * You are an optimist: You thrive in a positive, high-stakes environment and are eager to learn. * You believe in AI: You understand we are at the start of an exponential curve and want to drive mass adoption. 🛠️ What You Bring Must-Haves: * Proven track record as a top-performing AE in a high-growth SaaS environment. * Exceptionally clear written and verbal communication. * A metrics-driven mindset and a willingness to "grind" alongside the founders. Preferred & Nice-to-Haves: * STEM Degree: (Maths, CS, Physics, Engineering, etc.). * Legal/IP Background: Experience in patent prosecution or a qualified USPTO/EPO patent attorney/agent. * Technical Sales: Experience selling complex products to mid-market or enterprise firms. * Entrepreneurial Spark: Side hustles, early-stage experience, or a history of building things. 🎁 What’s In It For You? * Compensation: Competitive base + unlimited commission upside. * Equity: Meaningful ownership in a high-growth startup. * Support: Full visa sponsorship and private medical insurance. * Perks: Free meals and the chance to work with the smartest minds in AI. Ready to build the future of IP? Apply now. 🚀 Compensation Range: $100K - $200K

Job DescriptionWhy You Should Join the E3 TeamWhen you join the E3 team, you will be working on some of the most important energy issues with some of the top minds in the electricity industry. We help shape energy and climate policy, play vital roles in regulatory proceedings, advise executives, and inform investment and planning selections. At E3, you will be challenged and inspired. Who We AreFounded in 1989, Energy + Environmental Economics (E3) is a fast-growing energy consulting firm that helps utilities, regulators, policy makers, developers, and investors make the most educated strategic decisions possible as they implement new public policies, deploy and develop new technologies, and address customers’ shifting expectations. We have offices in San Francisco, New York City, Boston, Denver, and Calgary. Because E3 works with customers from all sectors of the electricity industry, we provide a 360-degree knowledge of markets, planning, policy, regulation, and environmental factors. Just as important, we are driven to deliver clear, unbiased evaluations that help customers make informed decisions. E3 works on high-profile, high-impact projects in jurisdictions that spearhead the implementation of clean energy policy. In California, Hawaii, and New York, we are advising state agencies and regulators about how to implement clean energy policies with an emphasis on customer incentives and markets. About YouWe look for people who combine strong analytical dexterity and/or policy experience with integrity and a passion for energy. Our Managing Consultants take the reins on project work to drive creative solutions to some of the most elaborate and important energy issues of the day. For this specific role, we are looking for someone who bring subject matter depth in electric transmission (e.g., ISO/RTO transmission planning processes, interconnection and deliverability concepts, corridor/ROW and permitting basics, capital planning). You're fluent with management consulting skills: structuring ambiguous problems, choosing a path and level of detail to answer questions in the time/budget available, anticipating challenges and creating plans to mitigate those risks, coaching your team in how to answer questions, and checking results and storyline based on your experience in the industry. You have executive presence to navigate tough client/stakeholder dynamics, align senior leaders and drive decisions in high stakes settings. Practice AreaThis position is based in our Asset Valuation, Markets and Transmission practice area. About the Role· Hours: Full Time · Travel: 0-10% · Office Location: Remote or hybrid work schedule from one of our E3 offices; travel to local client site maybe required for the San Francisco office. Work EnvironmentE3 has adopted a hybrid and flexible work environment that adapts to changing needs of projects and safety requirements. Because E3 thrives in a strong collaborative office-based working environment, in addition to work at client sites as project needs require, we encourage employees to work from the office at least 2-3 days per week, while also welcoming those who prefer to come in more regularly. Must be able to work for extended hours in front of a computer screen and conduct meetings on the telephone and virtually. The Role The Managing Consultant (Transmission) will assign in the strategic engagements on key transmission issues for utility, developer, investor, and system operator clients. You'll structure the problem in collaboration with our in-house transmission experts, define and check analytical tasks for E3 project teams, own day-to-day client leadership, and coordinate across cross-functional client teams (transmission planning, engineering, regulatory, finance, delivery). Focus areas will be specific to the client engagement but can include transmission opportunity and business case development, portfolio prioritization, regional cost allocation, regulatory strategy and testimony drafting, KPI tracking, partnership strategy, and organization structure and governance. Responsibilities • Lead the delivery of customer work through modeling, developing presentations, writing, and preparing entire subsections of reports and papers, and owning customer requests, • Conduct independent research using your ingenuity and curiosity to make reasonable assumptions and produce appropriate solutions, at times with incomplete information, • Fulfill end-to-end project obligations, • Deliver presentations to customers and reply to questions, • Develop aptitude in using a flagship modeling tool, gathering relevant data, and vetting results, • Oversee or assist in management of existing tools as needed, • Oversee or implement major revisions to toolkits, • Apply core QA/QC best practices, • Lead proposal writing on small/medium projects, • Translate results of research and evaluations into clear visual representations, • Head the creation or editing of spreadsheets to be "client-ready,” including developing tools for customer solutions, • Proactively track actual performance of own work performed against the established plan, with ongoing communication with the Director or Manager, • Track and manage actual performance of project teams against the established plan, with ongoing communication to project team members, • Capture project learnings and repeatable products and work samples for future use according to knowledge management processes, • Assist with internal initiatives as needed Requirements, • Master’s degree or PhD in engineering, economics, computer science, public policy, or related field, • Demonstrated hands-on experience or extensive knowledge in, or related to our practice areas, • 5-8 years of experience in an energy-related field with a utility with a specific focus on the power electric sector, • Prior experience/subject matter expertise in electric transmission development or planning (e.g. interconnection and deliverability concepts, corridor/ROW and permitting basics, capital planning, utility regulation), • Extensive project management experience leading collaborative project efforts while helping each member of your team to do their finest work, • Experience crafting a clear and compelling message both in writing and via presentations, • Demonstrated experience working directly with stakeholders or customers, • Aptitude to write and communicate clearly, • Demonstrated success guiding ideas, people, and projects, • High fluency in Microsoft Excel and PowerPoint; quantitative modeling methods and/or programming knowledge and experience, • Desire to work in a dynamic office environment with other staffThings that Set you Apart, • Deep subject matter expertise specifically in energy, power systems, and climate change issues, • Significant project management and leadership experience in a technical or analytical environment, • Past experience working directly with utilities on electric transmission or distribution, corporate strategy, or regulatory strategy, • Experience with transmission modeling platforms preferred, example include PLEXOS, Gridview, PROMOD, PSSE, TARA, • Extensive experience coordinating with customers on a regular basis, • You believe it is essential to achieve a transition to a low-carbon economy and love thinking about the future of energy, • You enjoy translating technical concepts to a broader audience

Job Description Do you want to be part of the core team building truly AI-native helpful experiences across the consumer space? Do you want to be at the cutting edge of what is next in the AI space but apply it to something of true value in the real world? At Verneek, we are on a mission to build the most helpful AI that augments the knowledge of anyone, anywhere, at any time! As opposed to the mainstream, we believe that the way to bring domain-general AI to the masses is to apply it one domain at a time, through AIs with deep domain expertise. We were on this journey before it got the hottest thing on the face of the planet! Come join some OGs in this so-called "generative AI" space and invent what is yet to be the future! If you are craving to learn something new every day while working at the cutting edge of AI, or if you are simply not satisfied with your academic AI ambitions anymore, Verneek could be a perfect opportunity for you: a deep-tech AI startup, where you'd get to learn, innovate, and leave your mark every single hour of every day. We are looking for a stellar & highly ambitious AI/NLP researcher as core employees to help build complex AI/NLP models supporting the Verneek AI platform! You'll get to work on fundamental AI research problems, but all grounded on our proprietary AI platform. It is all much more rewarding and influential than working on beating AI benchmarks! :) Every day, you'll get to solve very unique, highly complex, and socially impactful problems. This is an early-stage startup, so we'll be moving super-fast and there will be no legacy obstacles on your way to make a significant impact. Whatever you do every hour of every day counts!! RESPONSIBILITIES MINIMUM QUALIFICATIONS • MSc. or PhD degree in AI/NLP, • 4+ years of experience with Python, • Good grasp of fundamentals and the state-of-the-art in AI/NLP research, • 4+ years experience developing models with machine learning frameworks such as PyTorch, • Work authorization in the USA at the time of hire, • Continuing work authorization during employment can be sponsored by Verneek PREFERRED QUALIFICATIONS • Experience in Natural Language Understanding, Semantic Parsing, Dialogue Systems, • Experience in Transfer Learning and learning with limited data, • Publications in top-tier AI venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, etc., • Demonstrated AI/NLP engineering skillset through having deployed largescale AI/NLP systems to production, • Experience in building models in the commerce/retail domain Benefits Stellar medical, dental, vision, disability, and life insurance Daily private Chef lunch, curated to personal diets Transportation Benefits 401K matching contributions Flexible PTO Visa/Green Card Sponsorship Career growth support through sponsoring learning opportunities and mentorship About Verneek Verneek is an early-stage deep-tech AI startup, based in the NYC area, founded by a team of leading AI research scientists and backed by a group of world-renowned business and scientific luminaries. Our mission is to build the most helpful AI for anyone, anywhere, at anytime. We are obsessed with what we do and we have fun doing it. Read more about verneek here: and make sure to watch all our introductory videos and yearly recaps here: . Verneek Culture It’s often hard to put “culture” into words, perhaps you can get a visual sense of our culture here: . We all obsessively love what we do, care about each other, share all sorts of meals together, celebrate all kinds of events together, and work tirelessly with the excitement of making a difference through AI innovation. We are enjoying the journey, and going through all the ups and downs together. Although we have come a very long way in setting the foundations of our unique company, but we still have ways to go and you can help shape our culture! The core Verneek team plays a crucial role in further shaping the culture of the company moving forward. We are looking for highly ambitious and tremendously driven individuals who can take the lead in driving various aspects of the company, and help us shape its lasting impact. Annual Salary Range: $40K-$200K

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

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

Job Description Hi, we're Oscar. We're hiring a VP of Analytics and Insights to join our Data Science team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: The VP of Analytics and Insights will be a pivotal leader, tasked with building and scaling the Analytics and Insights function to drive data-informed decision-making across the entire organization. This role requires championing both business strategy and the underlying data infrastructure, including the semantic and business data layers. A key responsibility is ensuring that insights are both actionable and underpinned by a robust engineering foundation. This leader will build and manage integrated teams of analysts, analytics engineers, and insights professionals (covering user, market, and other research competencies). You will report into the SVP, Data. Work Location: This position is based in our New York office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $264,132 - $346,673 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants and annual performance bonuses. Responsibilities: • Function Buildout & Leadership: Lead the creation of a centralized, company-wide Analytics function, defining its vision, strategy, and roadmap to support all business units (e.g., Clinical, Product, Operations, Marketing, Strategy)., • End-to-End Ownership: Own the full lifecycle of data use cases, from identifying high-impact business questions to delivering compelling insights, while also managing the development and scalability of the analytics platform (including a platform engineering component)., • Insights and Research: Oversee the integrated Insights function, which includes dedicated teams for User Research and Market Research, to provide a holistic view of customer behavior, needs, and market trends., • Innovation via AI: Drive the application of AI and machine learning techniques within the analytics ecosystem to uncover patterns, predict future outcomes, and inform strategic decisions that advance the future of health care., • Team Development: Recruit, mentor, and lead a diverse, high-performing team of analysts, analytics engineers, user researchers, and market researchers., • Compliance with all applicable laws and regulations, • Minimum: Bachelor's degree in a quantitative or technical field (e.g., Data Science, Statistics, Computer Science, Economics, Mathematics, or Engineering)., • Leadership Breadth: 10–15+ years of experience in data, analytics, or insights, with at least 5–7 years in a senior leadership role (Director or VP level)., • Function Buildout: Proven track record of building and scaling a centralized analytics or data science function from the ground up, ideally in a mid-to-large-scale organization., • Healthcare Domain: 5+ years of experience in the healthcare industry. Must have a deep understanding of clinical data, health-tech operations, and the regulatory environment (HIPAA, GDPR, etc.)., • Technical Ownership: Experience managing the full data stack, including collaboration with Engineering on data architecture, platform scalability, and analytics engineering (e.g., Snowflake, dbt, Databricks)., • Insights & Research Oversight: Demonstrated experience overseeing qualitative and quantitative research functions, specifically managing User Research (UXR) and Market Research teams to drive product/strategy decisions., • Preferred: Master's degree or PhD in Data Science, Health Informatics, MBA with a technical concentration, or a related quantitative field. An advanced degree is highly preferred given the "Innovation via AI" and "Insights/Research" components., • Strategic Storytelling: Ability to translate complex data and AI concepts into compelling narratives for executive stakeholders and Board-level presentations. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

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

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

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

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at You'll Do: As a Staff Software Engineer, you'll shape the backbone of our GPU-driven data centers—powering some of the most advanced workloads in AI and large-scale computing. This isn't just about keeping the lights on; it's about architecting the next generation of reliable, secure, and massively scalable infrastructure. The METALDEV team builds and operates a suite of Go-based services that power large-scale datacenter deployments. These platforms automate complex workflows while providing deep observability and monitoring for tens of thousands of GPU servers and diverse infrastructure components—including CDUs, PDUs, and NVLink switches. Our tooling is designed for next-generation rack systems like NVIDIA GB200 and GB300, as well as a broad range of GPU server platforms. • Provide technical leadership in designing, architecting, and operating large-scale infrastructure services for GPU servers, with a focus on security, reliability, and scalability., • Build and enhance infrastructure services and automation, including inventory management systems and lifecycle management solutions using open source technologies., • Drive strategic direction for infrastructure automation, lifecycle management, and service orchestration, making MetalDev core services more scalable and resilient., • Define best practices for API development (REST/gRPC), distributed databases, and Kubernetes orchestration—while mentoring engineers to follow your lead., • Partner with hardware, software, and operations teams to align infrastructure with business impact., • Contribute to open source communities (e.g., Go, Redfish) through collaboration and technical thought leadership., • Lead and improve CI/CD pipelines for hardware compliance, firmware management, and data systems., • Champion reliability and operational excellence by driving observability (Prometheus/Grafana), production incident response, and continuous service improvement.Who You Are:, • B.S., M.S., or PhD in Computer Science or related field, or equivalent experience., • 8+ years of software engineering experience with a strong focus on infrastructure, cloud engineering, and distributed databases—particularly within large-scale datacenter and cloud environments., • Expertise in Go and proven experience building REST/gRPC APIs for mission-critical platforms., • Strong background in architecting and scaling cloud-native Kubernetes infrastructure and distributed services., • Proven success in mentoring engineers, leading technical projects, and influencing engineering strategy across teams., • Experience contributing to and collaborating with open source communities., • Skilled in applying a data-driven approach to reliability, optimization, and continuous improvement., • Excellent communicator able to work effectively with both technical and non-technical stakeholders., • Hands-on experience with observability stacks (Prometheus, Grafana, PromQL), CI/CD pipelines, and operating large fleets of GPU servers., • Working knowledge of Kafka, ClickHouse and CRDB., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

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

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

Job Description At Solve Intelligence, we’re building the AI-powered infrastructure for the global Intellectual Property landscape. We need a rare hybrid - a Legal and Product Engineer who sits at the exact intersection of patent law and AI innovation to ensure our engine is technically superior and legally airtight. 🏗️ The Role: Legal and Product Engineer This isn't your typical client-facing role or traditional R&D position. You are the bridge between the complex nuances of patent practice and the cutting-edge AI technology transforming it. You will translate the "language of law" into the "logic of code." What you’ll own: * AI Output Engineering: Partner with our AI researchers to iterate on algorithms and prompt engineering, specializing our LLMs for patent-specific tasks like claim analysis, prior art comparison, and obviousness assessments. * Legal Benchmarking: Build proprietary datasets and evaluation frameworks to measure AI performance against real-world USPTO and international patent office requirements. * Product Roadmap: Serve as the internal voice of the practitioner. You’ll translate deep client insights from global firms into high-priority product features. * Strategic Partnership: Act as a technical thought partner for IP teams at firms like DLA Piper, leading pilots and ensuring our AI scales seamlessly across their prosecution and litigation workflows. * Playbook Development: Document and scale best practices for AI adoption across diverse sectors, from biotech to deep-tech software. 💡 About Solve Intelligence We’re the fastest-growing startup transforming the IP industry. * Traction: 20-30% MoM revenue growth; selling to 200+ global IP teams (DLA Piper, tech boutiques, and global enterprises). * Proven Value: Users report 50-90% efficiency gains using our AI platform. * Backing: Recently featured in Sifted following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Y Combinator, 20VC, Visionaries and others. 👋 Your Team You’ll work directly with a founding team of AI PhDs and systems experts: * Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired). * Chris (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute. * Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard). 🚀 Who You Are We are a high-performance culture of "hackers" and builders. * Bilingual: You can speak "Patent" to an attorney and "Prompt" to an engineer without losing anything in translation. * Speed & Feedback: You want to put tools in users' hands in days, not months, and you thrive on rapid iteration. * Extreme Ownership: You take responsibility for the accuracy of our AI's legal reasoning and the success of our global client deployments. * Driven & Humble: You are a high-achiever willing to go the extra mile to tackle unsolved AI problems in the patent space. 🛠️ What You Bring Must-Haves: * Qualified Professional: Admitted to practice before the USPTO, EPO or JPO. * 3+ Years Experience: Direct experience in patent prosecution, understanding the "pain points" of the industry first-hand. * Technical Foundation: Undergraduate degree in Engineering, Computer Science, or Life Sciences. Preferred & Nice-to-Haves: * AI Tinkerer: Hands-on experience with prompt engineering and LLM tools. * Client-Facing Pro: Proven ability to manage relationships and lead strategic product demos. * Coder-Lite: Familiarity with Python or a background in software development. * Visionary: A deep belief that AI will fundamentally redefine the legal landscape. 🎁 What We Offer * Competitive Salary + Significant Equity: We want you to have true ownership in the success of the company. * Founding Impact: You will be the architect of how AI is applied to patent law globally. * Support: Full visa sponsorship and private medical insurance. * The Environment: Free meals and a seat at the table with an incredibly smart, ambitious team. Ready to define the future of Intellectual Property? Apply now. 🚀 Compensation Range: $100K - $220K

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

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

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

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

Perform calculations and learn to perform engineering analyses; learn geotechnical engineering software;. Consistently ranked among the top ten "Best Firms to Work For" and Engineering News-Record's top 50 firms worldwide, Langan attracts and retains the best talent in the industry. Geotechnical Eng

Pursuing a Bachelor's Degree in Civil Engineering at a College/University, or pursuing a degree in a related field with relevance to Civil Engineering, ideally with goal of pursuing a career in Geotechnical Engineering. The Geotechnical Intern is responsible for various field, laboratory and enginee

Competent interpersonal and communication skills when interacting with others, expressing ideas effectively and professionally to an engineering and non-engineering audience. Actively enrolled in an accredited Civil (geotechnical or tunneling concentration) Engineering program, Masters or PhD progra

The selected candidate will be exposed to real-life engineering problems that will require an understanding of engineering fundamentals and projects scope and schedules. The selected candidate will be primarily assisting the Engineering, Asset Management, and Operations teams with a variety of offic

We are excited to invite candidates to apply for our internship program as a Quality Engineering Intern at S&P Dow Jones Indices Division.

Software Engineering Intern to join our Commercial Technology team. What You'll Do Develop features across front-end (React JS, Angular JS) and back-end (Java, Spring Boot) platforms Work with PostgreSQL databases to support data retrieval and optimisation Contribute to GenAI and LLM integration ini

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