Research Associate jobs at Wild Type - 104 jobs

Who We Are Pindrop is redefining trust in the digital age. Our patented voice, and video authentication, fraud detection, and deepfake detection technologies protect some of the world's largest banks, insurers, retailers, and healthcare leaders. As AI-driven threats evolve in the form of synthetic voices, deepfakes, face swapping and more, our solutions stay ahead, helping ensure that the real human and the right human are recognized. Pindrop is trusted by Fortune 500 enterprises to secure voice interactions, and with $100M ARR we're entering our next phase of innovation and growth, backed by world-class investors including Andreessen Horowitz, IVP, and CapitalG. What you'll do Conduct experimental studies on various natural language processing and machine learning tasks to assess the accuracy and quality of pre-existing models Help the transition of research models into production on different platforms Conduct proof-of-concept experiments on lab and customer data Publish patents and peer-reviewed papers in top machine learning conferences Help your teammates in reviewing their research projects Propose new ML models that improve Pindrop products Leverage cloud AI platforms, including: AWS Bedrock (Converse API, Agents, Knowledge Bases, Guardrails) Google Cloud Vertex AI (Gemini API, Agent Builder, Vector Search, Search & Grounding, Model Garden) Champion Responsible AI, including safety guardrails, red-teaming, fairness/bias testing, and human-in-the-loop workflows. Who you are You are a creative problem solver who is excited about building amazing products that add real value to millions of people You are enthusiastic about natural language processing as well as developing research ideas into products You can explain complex topics in simple terms, and you love building strong relationships with colleagues and stakeholders You are a self-starter and excel in a fast-paced, dynamic environment You are resilient in the face of challenges, change, and ambiguity You are optimistic and believe that you can make a problem into a solution You are resourceful, excited to uncover innovative solutions, and teach yourself something new when needed You take accountability, do the things you say you'll do, under-promise and over-deliver You are nimble and adaptable when priorities change and continue to see the “forest through the trees” Your skill-set Master's and/or PhDs in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) required 3+ years of professional experience as a researcher in natural language processing, authorship verification, language models, intent recognition, emotion detection, and/or generative AI. Experience with natural language processing required Experience using AI-driven code research and development using AI assistants (eg, Anthropic or Copilot) Strong Python skills Experience with ML frameworks: PyTorch, TensorFlow, Keras Proven track record of peer-reviewed publications at prestigious conferences and journals. Proven track record of successful and timely project delivery Strong collaboration & proven success in partnering with stakeholders Preferably, you have experience with NLP competitions and challenges (PAN, Kaggle, NIST SRE, Chime, etc.) Preferably, you have deep knowledge of authentication, fraud, or customer experience concepts Preferably, you have experience communicating with internal and external customers around proof-of-concepts, issues, etc. What's in it for you As a Pindropper, you join a rapidly growing company making technology more human with the power of voice. You will work alongside some of the best and brightest. We're a passionate group committed to excellence - but that doesn't stop us from enjoying the journey as a team with chess and poker tournaments, catered lunches and happy hours, wellness programming, and more. Because we take our jobs seriously, we add in time for rest with Unlimited PTO. You will also be part of Pindrop's Research team, working on revolutionary research ideas against deepfake threats. This role provides the opportunity to work on cutting-edge technology, collaborate with experts to enhance real-time communication safety, and contribute to innovative solutions. Within 30 days, you'll Understand Pindrop as a product and the voice technology space. Dive into your role and understand how your success will be measured. Get acclimated to your surroundings and your team, including meeting with your onboarding buddy and key department members. Read through the Pindrop Lexicon to familiarize yourself with company terms and complete any required role-based training. Be introduced to your team and colleagues and added to any standing meetings, such as 1:1s, standups, and weekly touchpoints. Complete onboarding and attend New Employee Orientation sessions with other new Pindroppers. Within 60 days, you'll Accomplish some quick wins and start adding value, particularly within your immediate responsibilities. Establish relationships with key partners for continued collaboration and build your Objectives and Key Results (OKRs) for the next quarter. Understand expectations for the team and be able to start planning for development and contributing to projects. Start a research project agreed upon with your direct manager. Within 90 days, you'll Schedule and complete a 90-day check-in with your manager to discuss wins, blockers, and next steps. Have an intermediate level of familiarity with the products and corresponding research initiatives. Start executing against the research roadmap and contribute significantly to team objectives. What we offer As a part of Pindrop, you'll have a direct impact on our growing list of products and the future of security in the voice-driven economy. We hire great people and take care of them. Here's a snapshot of the benefits we offer: Competitive compensation, including equity for all employees Unlimited Paid Time Off (PTO) Generous health and welfare plans to choose from - including one employer-paid “employee-only” plan! Best-in-class Health Savings Account (HSA) employer contribution Affordable vision and dental plans for you and your family Employer-provided life and disability coverage with additional supplemental options Paid Parental Leave - Equal for all parents, including birth, adoptive & foster parents One year of diaper delivery for your newest addition to the family! It's our way of welcoming new Pindroplets to the family! Identity protection through Norton LifeLock Recurring monthly Phone and Internet allowance One-time home office allowance Remote first environment - meaning you have flexibility in your day! Company holidays Annual professional development and learning benefit Pick your own Apple MacBook Pro Retirement plan with competitive 401(k) match Wellness Program, including Employee Assistance Program, 24/7 Telemedicine #LI-Remote Please note that the base pay range is a general guideline only. Pindrop considers factors such as (but not limited to) scope and responsibilities of the position, a candidate's work experience, education/training, and key skills, as well as market and business considerations, when extending an offer. US Base Pay Range $150,000-$175,000 USDWhat we live by At Pindrop, our Core Values are fundamental beliefs at the center of all we do. They are our guiding principles that dictate our actions and behaviors. Our Values are deeply embedded into our culture in big and small ways and even help us decide right from wrong when the path forward is unclear. At Pindrop, we believe in taking accountability to make decisions and act in a way that reflects who we are. We truly believe making decisions and acting with our Core Values in mind will help us to achieve our goals and keep Pindrop a great place to work: Audaciously Innovate - We continue to change the world, and the way people safely engage and interact with technology. As first principle thinkers, we challenge standards, take risks and learn from our mistakes in order to make positive change and continuous improvement. We believe nothing is impossible. Evangelical Customers for Life - We delight, inspire and empower customers from day one and for life. We create a partnership and experience that results in a shared passion. We are champions for our customers, and our customers become our champions, creating a universal commitment to one another. Execution Excellence - We do what we say and say what we do. We are accountable for making the tough decisions and necessary tradeoffs to deliver quality and effective solutions on time. Win as a Company - Every time we win, we win as a company. Every time we lose, we lose as a company. We break down silos, support one another, embrace diversity and celebrate our successes. We are better together. Make a Difference - Every day we have the opportunity to make a positive impact. We operate with dedication, passion, and uncompromising integrity, creating a safer, more secure world. Not sure if this is you? We want a diverse, global team, with a broad range of experience and perspectives. If this job sounds great, but you're not sure if you qualify, apply anyway! We carefully consider every application and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time. Pindrop is an Equal Opportunity Employer Here at Pindrop, it is our mission to create and maintain a diverse and inclusive work environment. As an equal opportunity employer, all qualified applicants receive consideration for employment without regard to race, color, age, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetic information, disability, marital and/or veteran status.

Who We Are Pindrop is redefining trust in the digital age. Our patented voice, and video authentication, fraud detection, and deepfake detection technologies protect some of the world's largest banks, insurers, retailers, and healthcare leaders. As AI-driven threats evolve in the form of synthetic voices, deepfakes, face swapping and more, our solutions stay ahead, helping ensure that the real human and the right human are recognized. Pindrop is trusted by Fortune 500 enterprises to secure voice interactions, and with $100M ARR we're entering our next phase of innovation and growth, backed by world-class investors including Andreessen Horowitz, IVP, and CapitalG. What you'll do Conduct research to develop new functionalities and improve existing technologies for real-time video processing. Publish patents and peer-reviewed papers in top computer vision, audio, and speech conferences. Collaborate with other research engineers and contribute to regular research reviews and code reviews. Design, implement, and evaluate algorithms related to video processing and meeting analytics. Help deploy research models and tools in partnership with engineering teams. Participate in cross-functional team meetings and provide insights based on research findings. Who you are You have a passion for technology and are constantly researching new/emerging solutions. You are self-motivated and work with minimal supervision. You make relevant, specific, and high-value recommendations for the design or implementation of a platform, including automation, features, security, and manageability. You are resilient in the face of challenges, change, and ambiguity. You are optimistic and believe that you can turn a problem into a solution. You are resourceful, excited to uncover innovative solutions, and teach yourself something new when needed. You take accountability, do the things you say you'll do, under-promise and over-deliver. You are nimble and adaptable when priorities change and continue to see the “forest through the trees”. Your skill-set PhD in a quantitative field (e.g., Computer Science, Mathematics, Engineering, Artificial Intelligence) or equivalent experience. 3+ years of professional experience in Deep Learning, ideally in computer vision, face recognition, deepfake detection, audio processing, or general machine learning. Experience with real-time video processing and data acquisition, as well as preparation for such tasks. Strong programming skills in Python and C/C++. Experience with ML frameworks such as TensorFlow, Keras, and PyTorch. Preferably experience with Go, TF-Lite, and TF-Micro. Ability to design, develop, and maintain research packages to train and test ML models. Ability to publish patents and peer-reviewed papers in top computer vision, audio and speech, and conferences. Competence in maintaining internal research models and packages, ensuring reproducibility and computational efficiency. Collaboration skills to partner with engineering teams on deploying research models and tools. What's in it for you As a Pindropper, you join a rapidly growing company that is making technology more human with the power of voice. You will work alongside some of the best and brightest. We're a passionate group committed to excellence - but that doesn't stop us from enjoying the journey as a team with chess and poker tournaments, catered lunches and happy hours, wellness programming, and more. Because we take our jobs seriously, we add in time for rest with Unlimited PTO and Company-Wide Rest Days. You will also be part of Pindrop's Research team, working on revolutionary research ideas against deepfake threats. This role provides the opportunity to work on cutting-edge technology, collaborate with experts to enhance real-time communication safety, and contribute to innovative solutions. Within 30 days, you'll Understand Pindrop as a product and the deepfake technology space. Dive into your role and understand how your success will be measured. Get acclimated to your surroundings and your team, including meeting with your onboarding buddy and key department members. Read through the Pindrop Lexicon to familiarize yourself with company terms and complete any required role-based training. Be introduced to your team and colleagues and added to any standing meetings such as 1:1's, standups, and weekly touchpoints. Complete onboarding and attend New Employee Orientation sessions with other new Pindroppers. Within 60 days, you'll Accomplish some quick wins and start adding value, particularly within your immediate responsibilities. Establish relationships with key partners for continued collaboration and build your Objectives and Key Results (OKRs) for the next quarter. Understand expectations for the team and be able to start planning for development and contributing to projects. Start a research project agreed upon with your direct manager. Within 90 days, you'll Schedule and complete a 90-day check-in with your manager to discuss wins, blockers, and next steps. Have an intermediate level of familiarity with the products and corresponding research initiatives. Start executing against the research roadmap and contribute significantly to team objectives. What we offer As a part of Pindrop, you'll have a direct impact on our growing list of products and the future of security in the voice-driven economy. We hire great people and take care of them. Here's a snapshot of the benefits we offer: Competitive compensation, including equity for all employees Unlimited Paid Time Off (PTO) Generous health and welfare plans to choose from - including one employer-paid “employee-only” plan! Best-in-class Health Savings Account (HSA) employer contribution Affordable vision and dental plans for you and your family Employer-provided life and disability coverage with additional supplemental options Paid Parental Leave - Equal for all parents, including birth, adoptive & foster parents One year of diaper delivery for your newest addition to the family! It's our way of welcoming new Pindroplets to the family! Identity protection through Norton LifeLock Recurring monthly Phone and Internet allowance One-time home office allowance Remote first environment - meaning you have flexibility in your day! Company holidays Annual professional development and learning benefit Pick your own Apple MacBook Pro Retirement plan with competitive 401(k) match Wellness Program, including Employee Assistance Program, 24/7 Telemedicine Please note that the base pay range is a general guideline only. Pindrop considers factors such as (but not limited to) scope and responsibilities of the position, a candidate's work experience, education/training, and key skills, as well as market and business considerations, when extending an offer. US Base Pay Range $150,000-$175,000 USDWhat we live by At Pindrop, our Core Values are fundamental beliefs at the center of all we do. They are our guiding principles that dictate our actions and behaviors. Our Values are deeply embedded into our culture in big and small ways and even help us decide right from wrong when the path forward is unclear. At Pindrop, we believe in taking accountability to make decisions and act in a way that reflects who we are. We truly believe making decisions and acting with our Core Values in mind will help us to achieve our goals and keep Pindrop a great place to work: Audaciously Innovate - We continue to change the world, and the way people safely engage and interact with technology. As first principle thinkers, we challenge standards, take risks and learn from our mistakes in order to make positive change and continuous improvement. We believe nothing is impossible. Evangelical Customers for Life - We delight, inspire and empower customers from day one and for life. We create a partnership and experience that results in a shared passion. We are champions for our customers, and our customers become our champions, creating a universal commitment to one another. Execution Excellence - We do what we say and say what we do. We are accountable for making the tough decisions and necessary tradeoffs to deliver quality and effective solutions on time. Win as a Company - Every time we win, we win as a company. Every time we lose, we lose as a company. We break down silos, support one another, embrace diversity and celebrate our successes. We are better together. Make a Difference - Every day we have the opportunity to make a positive impact. We operate with dedication, passion, and uncompromising integrity, creating a safer, more secure world. Not sure if this is you? We want a diverse, global team, with a broad range of experience and perspectives. If this job sounds great, but you're not sure if you qualify, apply anyway! We carefully consider every application and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time. Pindrop is an Equal Opportunity Employer Here at Pindrop, it is our mission to create and maintain a diverse and inclusive work environment. As an equal opportunity employer, all qualified applicants receive consideration for employment without regard to race, color, age, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetic information, disability, marital and/or veteran status.

What you can expect As a Research Scientist on Zoom's GenAI Science Team, you will play a key role in developing Zoom's proprietary large language models (LLMs). The LLMs power AI Companion features such as meeting summaries, intelligent search, and agentic AI features. This position is focused on advancing model performance, building scalable AI systems, and driving product-oriented innovation. You can expect to work in a highly collaborative environment that values both scientific rigour and practical product impact. About the Team The GenAI Science Team is responsible for building Zoom's in-house LLMs that support millions of users through AI-powered meeting intelligence features. The team's mission is to create models that enable authentic, agentic AI tasks across the Zoom ecosystem. Responsibilities: + Conducting research and development on large language models to support Zoom's AI Companion and meeting intelligence features. + Designing and implement model training pipelines, including data creation, filtering, and evaluation workflows. + Collaborating with cross-functional teams of scientists, engineers, and product managers to translate research into production-ready solutions. + Exploring and apply advanced post-training techniques such as RLHF, RLVR, and reward modeling. + Developing evaluation systems and benchmarks to measure model quality, human alignment, and task performance. + Contributing to the development of agentic AI systems capable of tool usage, function calling, and multi-modal understanding. What we're looking for + Possess a master's degree or PHD in Computer Science, Artificial Intelligence, Machine Learning, Distributed Systems, or a related field. + Have publications in top-tier AI conferences (e.g., ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL, CVPR, ICCV, AAAI). + Have proficiency in Python, PyTorch and Hugging Face Transformers (required); Verl and Megatron. + Have LLM post-training techniques such as RLHF, RLVR, reward modeling. + Have experience in building evaluation systems and benchmarks for AI models, including human-aligned metrics and annotation quality management. + Demonstrate advanced agent systems with function calls or tool usage. + Be able to handle long-context modeling or retrieval-augmented generation. Salary Range or On Target Earnings: Minimum: $177 100,00 Maximum: $387 500,00 In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value. Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience. We also have a location based compensation structure; there may be a different range for candidates in this and other locations At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application! Anticipated Position Close Date: 03/27/26 Ways of WorkingOur structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting. BenefitsAs part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn (********************************* for more information. About UsZoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.We're problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment. Our Commitment At Zoom, we believe great work happens when people feel supported and empowered. We're committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know-we're here to support you at every step. If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form (https://form.asana.com/?k=OIuqpO5Tv9XQTWp1bNYd8w&d=1***********3361) and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed. We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines

What you can expect As a Research Scientist on Zoom's GenAI Science Team, you will play a key role in developing Zoom's proprietary large language models (LLMs). The LLMs power AI Companion features such as meeting summaries, intelligent search, and agentic AI features. This position is focused on advancing model performance, building scalable AI systems, and driving product-oriented innovation. You can expect to work in a highly collaborative environment that values both scientific rigour and practical product impact. About the Team The GenAI Science Team is responsible for building Zoom's in-house LLMs that support millions of users through AI-powered meeting intelligence features. The team's mission is to create models that enable authentic, agentic AI tasks across the Zoom ecosystem. Responsibilities: Conducting research and development on large language models to support Zoom's AI Companion and meeting intelligence features. Designing and implement model training pipelines, including data creation, filtering, and evaluation workflows. Collaborating with cross-functional teams of scientists, engineers, and product managers to translate research into production-ready solutions. Exploring and apply advanced post-training techniques such as RLHF, RLVR, and reward modeling. Developing evaluation systems and benchmarks to measure model quality, human alignment, and task performance. Contributing to the development of agentic AI systems capable of tool usage, function calling, and multi-modal understanding. What we're looking for Possess a master's degree or PHD in Computer Science, Artificial Intelligence, Machine Learning, Distributed Systems, or a related field. Have publications in top-tier AI conferences (e.g., ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL, CVPR, ICCV, AAAI). Have proficiency in Python, PyTorch and Hugging Face Transformers (required); Verl and Megatron. Have LLM post-training techniques such as RLHF, RLVR, reward modeling. Have experience in building evaluation systems and benchmarks for AI models, including human-aligned metrics and annotation quality management. Demonstrate advanced agent systems with function calls or tool usage. Be able to handle long-context modeling or retrieval-augmented generation. Salary Range or On Target Earnings: Minimum: $177 100,00 Maximum: $387 500,00 In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value. Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience. We also have a location based compensation structure; there may be a different range for candidates in this and other locations At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application! Anticipated Position Close Date: 03/27/26 Ways of Working Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting. Benefits As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information. About Us Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We're problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment. Our Commitment At Zoom, we believe great work happens when people feel supported and empowered. We're committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know-we're here to support you at every step. If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.

Biologist, PhD (Contract) Labelbox • Remote (United States preferred) Shape the data that powers frontier AI Quick facts- Engagement - Hourly, at‑will contractor- Schedule - Fully remote & asynchronous (min. 15 hrs/week)- Pay Range (US) - \$25 - \$100 per hour- Start Date - Rolling - staffed as projects launch What you'll do- Data annotation: Accurately label and categorize advanced biology questions, specialized concepts, scientific diagrams, experimental data, and other domain-specific content- Concept mapping: Synthesize and connect complex biological principles, establishing nuanced relationships between specialized topics (e.g., molecular biology, genomics, systems biology, physiology) to help AI models grasp the depth and structure of the field- Solution review: Critically analyze and verify AI-generated answers to advanced biology questions and research-level problems, identifying errors and providing detailed, constructive feedback to enhance model performance- Content development: Design and curate comprehensive training datasets that encompass a wide spectrum of biology subfields and levels of complexity You're a great fit if - You hold a PhD in Biology (or a closely related field) with deep expertise in research, teaching, or advanced problem-solving- You have developed or critically reviewed complex scientific, educational, or technical content-such as peer-reviewed publications, advanced curricula, laboratory research, or sophisticated simulations- You excel at communicating challenging physical concepts with clarity and enjoy translating advanced theory into real-world applications- Bonus: Experience with data labeling, RLHF, or other AI training or model evaluation projects About the role- Flexible workload - work from anywhere, on your own schedule - High impact - your craft directly improves models used by top AI labs & Fortune 500 teams - Clear ownership - know exactly what success looks like and have autonomy to deliver - Growth potential - consistent high performers spearhead new programs and mentor incoming SMEs Interview process- Complete a screening with Zara, our AI interviewer in English, to learn more about your background and experience.- Domain-specific Zara interview to assess your understanding of advanced Biology principles, your ability to analyze complex processes, and your skill in applying theoretical frameworks to real-world scenarios. About LabelboxLabelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. We're backed by SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins, and trusted by leading research labs and enterprises worldwide. Ready to Apply?Click “Apply” above, and take one or more domain specific assessments. We review candidates on a rolling basis and will contact you if your background matches an active project.

About Us: YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers-ranging from the world's top investment funds to Fortune 500 companies-depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture-recognized by Inc. as a Best Workplace for three consecutive years-emphasizes transparency, ownership, and continuous mastery. What It's Like to Work at YipitData: YipitData isn't a place for coasting-it's a launchpad for ambitious, impact-driven professionals. From day one, you'll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Why Top Talent Chooses YipitData: Ownership That Matters: You'll lead high-impact projects with real business outcomes Rapid Growth: We compress years of learning into months Merit Over Titles: Trust and responsibility are earned through execution, not tenure Velocity with Purpose: We move fast, support each other, and aim high-always with purpose and intention If your ambition is matched by your work ethic-and you're hungry for a place where growth, impact, and ownership are the norm-YipitData might be the opportunity you've been waiting for. About The Role: We are expanding our research team by hiring a Equity Research Analyst (Official Title: Research Analyst) to drive the development of fundamental research for our high-demand subscription-based data products. This is an exciting opportunity for someone with 3+ years of experience who is eager to play a key role in shaping the data-driven future of investment research. You may be an ideal fit if you have a background in buy-side or sell-side research, management consulting, or have used data to analyze business trends and develop solutions to customer challenges. Experience covering the consumer or consumer tech sectors is a plus. If you are passionate about leveraging data to drive actionable insights, we encourage you to apply! This is a remote-friendly opportunity that can sit in NYC (where our headquarter is located), one of our office hubs (Austin, Miami, Denver, Mountain View, or Seattle), or anywhere else in the US. However, depending upon where the remote work is performed, income could be subject to New York State tax withholding. Please note that we pay NYC-based salaries for US roles regardless of where employees choose to work. As A Research Analyst, Your Key Responsibilities Will Include: Data Driven Research: Create and communicate valuable insights from our datasets SQL-driven Granular Analysis: Learn to derive trends from large datasets using advanced queries, building cohort, concentration, penetration, and competitive analyses New Product Development: Collaborate with our data team to help build new research products and features Customer Relationships: Become a trusted resource for our subscribers, the largest investors in the world Product Marketing: Work with our Sales, Client Strategy and Marketing teams to position our products on clients calls, webcasts, and in press references You Are Likely To Succeed If: You have 3+ years of experience in equity research or management consulting-styled writing You have a background in equity research or business analysis and a passion for data-driven fundamental investing You have a commitment to learning new technology skills and working at a company where everyone learns to code You have a Bachelor's degree or foreign equivalent in Finance, Economics, Statistics or a related field Meet Your Team: Check out this video to learn why our Research team members love being part of YipitData! What We Offer: Our compensation package includes comprehensive benefits, perks, a competitive salary, and equity: The annual base salary for this position is anticipated to be $150,000 + Bonus (targeted at 15% of salary) and Equity. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, and abilities, as well as internal team benchmarks. This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, Denver, Mountain View, and Seattle. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding. We care about your personal life and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, a wellness budget, learning reimbursement, and more! Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer. Job Applicant Privacy Notice

Job DescriptionAbout Us Nourish is on a mission to improve people's health by making it easy to eat well. More than half of Americans have a chronic condition related to what they eat, and poor nutrition is the number one driver of preventable death. Health is the most important thing in the world, and yet our society is sicker than it has ever been due to unhealthy modern lifestyles. Nourish is addressing this healthcare crisis by helping people eat better, more easily, with our food-as-medicine platform. The Nourish mobile app provides a comprehensive approach to wellness through personalized visits with Registered Dietitians, health progress tracking, personalized content, meal logging, recipe/meal planning, AI chat, and more. We already have thousands of dietitians and hundreds of thousands of patients on the platform. Our patients span a wide range of nutrition-related conditions including diabetes, eating disorders, kidney disease, GI conditions, cancer, obesity/weight management, cardiovascular disease, and more. We are live in all 50 states. We are growing quickly, have partnered with national health insurance companies and provider groups, and have raised over $44M from top-tier VCs including Index Ventures, Thrive Capital, Maverick Ventures, Y Combinator, and Box Group, amongst others. Our angel investors include world-class healthcare founders from Oscar, Rightway Health, Headway, Spring Health, and Alto Pharmacy, as well as soccer star Alex Morgan and the founders from Olipop and Notion. Learn more about us in TechCrunch here and read about our recent Series A here. About the Role We're looking for a Staff User Researcher to lead strategic research across Nourish's patient and provider ecosystems. You'll uncover insights that guide product direction, improve clinical and patient experiences, and shape how nutrition care is delivered at scale. This is a senior individual contributor role for someone who's comfortable working autonomously on ambiguous, high-impact questions-equally strong at fieldwork and at influencing senior stakeholders. You'll partner closely with design, product, and clinical leadership to ensure every decision is grounded in a deep understanding of both sides of our marketplace: patients seeking help and dietitians providing care. This person will join our small design team and report directly to our Head of Design. We care deeply about our work, but we try not to take ourselves too seriously. We believe that empathy, trust, and collaboration are what drive the best outcomes and that work can feel like play! This role is full-time in NYC (in-person candidates only), with flexibility for some remote work. Nourish has an NYC office in the heart of Silicon Alley. Check out 'EPD at Nourish' to learn more about our team! Key Responsibilities Lead research strategy across patient, provider, and internal tooling experiences, defining the learning agenda that informs company-level priorities Conduct generative and evaluative research to explore user needs, motivations, and friction points across the full care journey, from onboarding through long-term engagement Shape product direction by translating research insights into clear, actionable opportunities for product, design, and clinical operations Develop frameworks and mental models that clarify how patients and dietitians interact, and where Nourish can deliver differentiated value Mentor and guide cross-functional partners (designers, PMs, and data analysts, clinical, marketing, PPM) on research best practices, helping to scale the research mindset across the org Partner with data science and clinical ops to triangulate qualitative and quantitative insights, surfacing patterns in behavior, retention, and outcomes Tell compelling stories that bring our constituents to life through artifacts, workshops, and strategic narratives that influence at the leadership level Champion an inclusive approach to research that represents diverse users and ensures accessibility and equity in the patient experience Key Qualifications 8-12+ years of applied user research experience in high-growth product organizations (consumer, health tech, telehealth, or two-sided marketplaces strongly preferred) Mastery of core qualitative methods (interviews, field studies, concept testing, journey mapping, usability testing) and strong fluency with complementary quantitative methods Demonstrated success driving strategic impact-influencing product or business direction, not just validating existing ideas Experience researching service-oriented or clinical workflows, ideally in healthcare, wellness, or B2C/B2B2C contexts Exceptional communication and storytelling ability; you make insights tangible and drive alignment through clarity and empathy A track record of mentoring or coaching researchers or designers, elevating the overall craft bar Fluency in research tooling (Dovetail, Airtable, UserTesting, Maze, Amplitude, etc.) Graduate degree in Human-Computer Interaction, Cognitive Psychology, Anthropology, or related field (or equivalent hands-on experience) Nice to Have Experience working in a regulated or clinical domain, navigating privacy and compliance constraints with creativity Familiarity with insurance and healthcare systems in the US Comfort balancing speed and rigor in a startup environment Experience with remote, asynchronous collaboration What Success Looks Like Research insights directly inform Nourish's product roadmap and care model evolution Leadership looks to you as a thought partner for framing the big questions Product teams consistently rely on research to shape what they build and why The organization develops a shared, evidence-based understanding of its users: patients, providers, and internal stakeholders You help make "user understanding" part of Nourish's DNA More Information Compensation & Benefits Mission & Vision & Success Nourish Clinical Philosophy Values Why Nourish Exists Team How We Work

Job SummaryCARMA's Public Security Policy (PSP) Program is seeking a Policy Researcher to advance our work on AI governance, risk mitigation, and emergency response frameworks. This role will focus on disaster preparedness planning for AI-related crises across multiple jurisdictional levels (national, state/provincial, multinational, and alliance-based), vulnerability assessments of critical societal systems, and development of robust governance approaches. The researcher will help identify systemic weaknesses that could be exploited or exacerbated by advanced AI systems and contribute to designing resilience strategies. This requires a broad literacy in the sciences and (both physical and information) technologies. This position offers direct engagement with critical AI safety challenges and opportunities to shape policy responses to emerging risks from increasingly capable AI systems. This is a full-time position, with the expectation of it being long-term, but be aware that runway beyond nine months will require winning more grants. This role is 100% remote but requires occasional travel. About CARMAThe Center for AI Risk Management & Alignment (CARMA) works to help society navigate the complex and potentially catastrophic risks arising from increasingly powerful AI systems. Our mission is specifically to lower the risks to humanity and the biosphere from transformative AI.We focus on grounding AI risk management in rigorous analysis, developing policy frameworks that squarely address AGI, advancing technical safety approaches, and fostering global perspectives on durable safety. Through these complementary approaches, CARMA aims to provide critical support to society for managing the outsized risks from advanced AI before they materialize.CARMA is a fiscally-sponsored project of Social & Environmental Entrepreneurs, Inc., a 501(c)(3) nonprofit public benefit corporation. Core Responsibilities• Conduct rigorous policy research mapping the landscape of current and proposed AI governance approaches, identifying gaps and fragilities in existing frameworks• Assess societal vulnerabilities to advanced AI systems across critical infrastructure, physical safety, information ecosystems, and social institutions• Develop comprehensive AI disaster scenario plans adaptable to different jurisdictional contexts and governance structures• Research how to translate complex technical concepts and risk scenarios into clear, actionable policy recommendations for decision-makers• Draft compelling policy briefs, reports, and blog posts communicating AI governance challenges to diverse audiences• Develop realistic simulation materials and tabletop exercises that stress-test emergency response protocols for AI system failures• Identify early warning indicators and potential cascade failures in AI governance structures• Map institutional dependencies and coordination challenges in cross-jurisdictional disaster response• Analyze existing civil defense and disaster response frameworks for adaptability, or the lack thereof, to novel AI threats• Support PSP advocacy initiatives and strategic relationship development with policymakers Requirements• Master's degree in Public Policy, Public Administration, Political Science, International Relations, Science and Technology Studies, or related field; OR bachelor's degree with substantial relevant professional experience• Demonstrated ability to conduct thorough policy analysis and produce high-quality written outputs for both academic and policy audiences• Exceptional writing abilities with experience translating complex technical concepts into accessible language for non-specialist audiences• Strong grasp of policy processes, political systems, and strategic approaches to effectuating policy change• Breadth of knowledge, curiosity, and literacy across the sciences and physical technologies• Working knowledge of international relations frameworks and governance structures relevant to emerging technology management• Demonstrated understanding of AI safety concerns, systemic risks, and the sociotechnical implications of increasingly capable AI systems• Self-directed with ability to manage complex projects in a remote team environment while maintaining high attention to detail Preferred Qualifications• Experience in crisis response planning, disaster preparedness, or emergency management• Background in cybersecurity, biosecurity, critical infrastructure protection, or other relevant risk domains• Understanding of organizational response limits during acute crises• Familiarity with both technical and governance aspects of AI alignment challenges• Experience conducting vulnerability assessments of complex sociotechnical systems• Knowledge of civil defense planning, continuity of government operations, or supply chain resilience• Background in multi-stakeholder coordination across government agencies, private sector, and civil society• Some coursework, experience, or interest in the hard sciences• Experience with scenario planning methodologies and strategic foresight techniques CARMA/SEE is proud to be an Equal Opportunity Employer. We will not discriminate on the basis of race, ethnicity, sex, age, religion, gender reassignment, partnership status, maternity, or sexual orientation. We are, by policy and action, an inclusive organization and actively promote equal opportunities for all humans with the right mix of talent, knowledge, skills, attitude, and potential, so hiring is only based on individual merit for the job. Our organization operates through a fiscal sponsor whose infrastructure only supports persons authorized to work in the U.S. as employees. Candidates outside the U.S. would be engaged as independent contractors with project-focused responsibilities. Note that we are unable to sponsor visas at this time.

About the company: The mining industry has steadily become worse at finding new ore deposits, requiring >10X more capital to make discoveries compared to 30 years ago. The easy-to-find, near-surface deposits have largely been found, and the industry has chronically under-invested in new exploration technology, relying on the manual techniques of yesteryear - even as demand accelerates for copper, lithium, and other metals to build electric vehicles, renewable energy, and data centers. KoBold builds AI models for mineral exploration and deploys those models-alongside our novel sensors-to guide decisions on KoBold-owned-and-operated exploration programs. In the six years since founding, KoBold has become by far both the largest independent mineral exploration company and the largest exploration technology developer. Our data scientists and software engineers, who come from leading technology companies, jointly lead exploration programs with our renowned exploration geologists. KoBold has proven its first discovery with materially less capital than the industry average and found one of the best copper deposits ever discovered: the copper is far more concentrated than the global average of copper mines, and this asset alone is expected to generate meaningful revenue for decades. KoBold has a portfolio of more than 60 other projects, each of which has the potential for another high-quality discovery. KoBold is privately held; investors include institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, and Standard Investments; and natural resources companies Equinor, BHP, and Mitsubishi. About The Role: In this role, you will develop state of the art instruments to collect data to guide our exploration programs. You will simulate, characterize, and calibrate sensor performance and design new data acquisition systems. Working with vendors and partners, you will build hardware and work with our operations staff to deploy it in the field. With this sensor data and other data sources at KoBold, you will build models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will be creating models and developing software to accelerate discovery of critical battery metals. You will join an outstanding team of data scientists and engineers and will work closely with KoBold's world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will identify new opportunities and technologies for geophysical data collection, create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work. Ultimately, your role is to help KoBold make valuable discoveries by building and deploying next generation hardware and using data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up. Responsibilities of this position include: Technical execution Design, develop, and deploy new mineral exploration data collection instruments and methods. Help develop KoBold's proprietary software exploration tools. Find and curate a wide variety of geospectral, geophysical, geochemical, geologic, and geographic data and integrate it into KoBold's proprietary data system. Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth's crust. Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features. Develop and apply a range of data processing, statistical, and physics-based techniques to geoscientific data - from computer vision to geophysical inversions - and use the results to guide our targeting efforts and inform our acquisition and exploration decisions. Present to and collaborate with our external partners and stakeholders. Push the state of the art in analysis capabilities by implementing statistically rigorous spatially aware clustering, anomaly detection, and other analysis methods Collaborate with data scientists, geoscientists and engineers to invent and deploy algorithms that combine large and complex data sets for mineral exploration and discoveries Qualifications Demonstrated ability to quickly absorb and synthesize complex information, with a track record of high intellectual rigor in a professional setting. Exceptional curiosity and eagerness to learn, with a proactive approach to exploring new concepts and technologies. A successful track record of developing complex equipment with cross-disciplinary teams and vendors. Technical skills, including extensive experience with: Physical measurement and data analysis systems that use phenomena such as optics, electromagnetism, radiation, and gravity. Applying scientific knowledge to identify and prototype emerging technologies Systems integration and data acquisition. Python's data science packages and general software engineering practices. Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines. SQL, as well as familiarity with non-relational databases. Cloud computing resources. Building a wide variety of predictive models, applying them to different problems, and evaluating and interpreting the results. Data analysis, physics analysis, and applied statistics on a broad range of types of data including data from physical systems. Capacity to dive deep on novel challenging problems in applying ML to mineral exploration, including understanding a complex domain of geology and mineral exploration practices as well as working with limited, disparate and noisy data sources Experience deploying sensors in the field Work practices and motivation: Ability to take ownership and responsibility of large projects. Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Open to working directly with geologists in the field. Enjoys constantly learning such that you are driving insights and innovations. Ability to explain technical problems to and collaborate on solutions with domain experts who aren't software developers. A strong communicator who enjoys working with colleagues across the company. Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities. Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company. Ability to independently prioritize multiple tasks effectively. It is also helpful but not required to have experience with: Remote sensing Creating machine learning models on geospatial data Image processing or computer vision Project and team management KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status. This position is Full-time Exempt Salary is one part of KoBold's total compensation. The US salary range for this role is between $125,000 and $235,000, and will depend on your skills, qualifications, experience, and location. In addition to salary, we offer equity compensation. We also offer benefits including medical, dental, and vision insurance, a 401k retirement plan, short & long term disability and life insurance. We also offer paid sick time and parental leave." Location: Remote, Candidates can be located anywhere in the United States or Canada. All candidates must be legally authorized to work in the United States or Canada. 10-20% travel required.

Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members. Your Role & Mission At Apollo.io, we believe that our customers are our greatest advocates and inspiration, and we strive to humanize and build empathetically for their needs. As we scale our product, we are prioritizing improving ease of use, delightfulness, and overall user experience dimensions, and we're looking for a Researcher to play a key role in the upcoming phases of our journey. As a Researcher, you will be integral to driving forward our customer-centric vision-partnering with stakeholders to run critical research projects while helping to grow our research team alongside our Product & Design orgs. We're looking for someone who is both genuinely interested in & has the skills to take on ownership of complex projects within a hyper-growth company: a creative thinker who can trailblaze new approaches to interpreting data and drive meaningful impacts to our product & company strategy. Responsibilities: Conduct In-depth, Agile Research: Execute user research activities, including but not limited to foundational research, usability testing, interviews, surveys, and ethnographic studies, to gather valuable insights into user behaviors, needs, and preferences. Persona and Journey Map Development: Contribute to the creation and maintenance of user personas and journey maps, helping to establish a user-centric framework for product development. Iterative Testing and Feedback Loops: Work within the agile development process to integrate iterative testing and feedback loops, ensuring a user-centered approach throughout the product development life cycle. Usability Testing: Plan and facilitate usability testing sessions, including recruitment, script development, and post-session analysis. Communicate findings and recommendations to the broader team. Data Collection and Analysis: Collect and analyze user data, synthesizing findings into clear and actionable insights. Work with data sets to identify patterns, trends, and opportunities for product improvement. Documentation and Reporting: Prepare clear and concise research reports, presentations, and documentation to effectively communicate research findings and recommendations to stakeholders. Collaborate with Cross-Functional Teams: Engage with product managers, designers, and developers to integrate user research findings into the product development process. Ensure alignment between user needs and business objectives. Coach and Mentor Researchers: Help junior researchers grow their skillset by providing feedback on their work, and offering direct mentorship. Stay Informed on Industry Trends: Keep abreast of industry trends, emerging technologies, and best practices in UX research. Apply this knowledge to enhance research methodologies and approaches within the startup environment. Continuous Learning: Actively pursue professional development opportunities to enhance UX research skills and stay current with industry advancements. Leverage learning to contribute to the growth and success of the startup. Adaptability and Agility: Thrive in a fast-paced startup environment by being adaptable and agile. Be ready to pivot quickly based on evolving project requirements and business needs. User Education: Share user insights with the broader team, fostering a culture of user empathy and understanding. Help educate team members on the importance of user research in shaping successful products. Qualifications Jack-of-all-research-methods: proficient in a wide variety of mixed methods (1:1 interviews, focus groups, surveys, behavioral analyses, card sorting, tree testing, etc.) and know exactly when & why to rely on different combinations of quantitative and qualitative methods for a research plan. Can get started with minimal guidance. Pragmatic & highly tactical: grounds research priorities in prioritized objectives that will drive tangible user, customer, and business value. Growth-oriented: loves the process of developing, and enjoys learning new skills and figuring out the most effective ways for communicating research to stakeholders. Reflexive and dynamic: knows how to resolve tough issues in an ambiguous space and tailor research methods to the needs of relevant audiences. Knows how to move quickly and efficiently. Autonomous ownership: independently identifies research opportunities to improve the desirability, usability, and delight of business-critical product experiences and have a sense of pride in your work that takes you above and beyond what is requested. Proactive strategist: understands the importance of learning from different viewpoints and are able to partner cross-functionally to develop research plans that garner insights from across an entire organization. Excellent communicator: clear and effective in verbal and written communication, and able to build compelling narratives to influence cross-functional stakeholders. Proven: diverse portfolio of projects clearly demonstrates tackling complex problem areas and the outcomes driven. Empathetic and kind disposition: a team player who is resilient in the face of challenges. Enjoys collaborating with peers & users, and they enjoy collaborating with them. Authentic, humble, and sensitive to the needs of others. Tinkerer and experimenter: actively incorporates AI to accelerate analysis, synthesize insights, and automate time-consuming tasks-freeing up more time for deep discovery and strategic thinking; you are comfortable experimenting with prototype development to support your cross-functional partners in going from insights to action effectively 5+ years of mixed methods research experience The listed Pay Range reflects base salary range, except for sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commission/sales bonus targets and annual base salary for the role. This pay range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits. Annual Pay Range$123,000-$205,000 USDWe are AI Native Apollo.io is an AI-native company built on a culture of continuous improvement. We're on the front lines of driving productivity for our customers-and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here. Why You'll Love Working at Apollo At Apollo, we're driven by a shared mission: to help our customers unlock their full revenue potential. That's why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead. We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core-we're all for one, meaning you'll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins. If you're looking for a place where your work matters, where you can push boundaries, and where your career can thrive-Apollo is the place for you. Learn more here!

What we do: Zefr is the leader in AI-powered content classifications for brands and advertisers. Zefr's platform is purpose built for multi-modal content understanding on open platforms like YouTube, TikTok, Meta and Snap, with pre-bid activation and verification solutions. Our products safeguard media and AI investments, while maximizing performance and efficacy on those channels. Headquartered in Los Angeles with global offices across New York, Chicago, London, Toronto, Singapore, and more, Zefr is redefining what trust and transparency means for social media in the age of AI. What you'll do: Reporting to the VP of Research & Insights, the Advertising Research Analyst plays a critical role within the research team, sales team and broader organization. You will work closely with internal teams to develop custom reporting, support campaign measurement and analysis, and drive new value through your knowledge of data and advertising. This position is based in New York City and follows a hybrid schedule (in-office Tuesday through Thursday). Responsibilities include: * Analysis of advertiser campaign performance, providing insights and actionable recommendations for best practices and optimization. * Develop reports and insights to help sales teams be effective and nimble. * Create output that tells the story behind the data to non-technical team members. * Leverage AI agents and automation to identify, redesign, and optimize workflows, significantly reducing manual effort and operational overhead. * Collaborate with cross-functional stakeholders to understand our clients' business needs, formulate and complete end-to-end analysis, generate creative ideas, research possible solutions, recommend an appropriate solution, lead and/or perform the implementation, and present results. * Be the measurement expert across our workstreams. What we're looking for: * 1-2 years of media research experience at a media agency, digital publisher or data and analytics company. * Experience with syndicated media research like Nielsen and ComScore, and third-party measurement solutions like Kantar, Dynata, Nielsen Catalina Solutions, Circana, Disqo, Brandwatch and Google Ads experience is a plus. * Understanding of media planning and media math (reach, frequency, audience composition, CPV, CPM, Lift, etc.). * Proficient in Microsoft Excel, PowerPoint or the Google equivalent. Keynote is a plus. * Strong mathematical and analytical abilities. * Excellent communication skills and attention to detail. A knack for storytelling or interest in consumer insights is a plus. * Ability to work independently and problem solve as well as effectively collaborate with various teams. * SQL is a plus. * Education: Bachelor of Arts/Sciences or equivalent experience; Master's Degree is a plus. Benefits (for US based employees): * Flexible PTO * Medical, dental, and vision insurance with FSA options * Company-paid life insurance * Paid parental leave * 401(k) with company match * Professional development opportunities * 13 paid holidays off * Summer Fridays (we leave early) * In-office, hybrid, and fully-remote work options available * In-office lunches and lots of free food * Optional in-person and virtual events (we like to celebrate!) Compensation (for US based employees): The anticipated salary for this position is between $70,000 and $90,000. Within the range, individual pay is determined by factors such as job-related skills, experience, and relevant education or training. If your compensation expectations fall outside of this range, it may still be worth having a conversation. Zefr is an equal opportunity employer that embraces diversity and inclusion in the workplace. We are committed to building a team that represents a variety of backgrounds, skills, and perspectives because we know this only makes us better. We strongly encourage women, persons of color, LGBTQIA+ individuals, persons with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply even if you do not meet 100% of the qualifications.

Biology Expert - $90/hr Remote - Alignerr - Location: RemoteAbout the job At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.Organization: Alignerr Position: Biology Expert (Masters/PhDs) Type: Hourly Contract Compensation: $75-$90 /hour Location: Remote Commitment: 10-40 hours/week Role Responsibilities (Training support will be provided)- Develop, solve, and review advanced biology problems with real-world relevance.- Apply expertise in genetics, biotechnology, bioinformatics, or related areas to design complex problem statements.- Collaborate asynchronously with AI researchers and domain experts to enhance AI model reasoning.- Ensure scientific rigor, clarity, and depth across all deliverables.Requirements- Master's or PhD in Biology or a related field (Genetics, Molecular Biology, etc.) from a top U.S. university (or equivalent).- Experience coding in Python or R for research or projects.- Strong expertise in genetics, biotechnology, or bioinformatics.- Exceptional written and verbal communication skills with strong attention to detail.- Fluent in English and currently based in the U.S., Canada, New Zealand, U.K., or Australia.Preferred:- Prior experience with data annotation, data quality, or evaluation systems Application Process (Takes 15-20 min)- Submit your resume- Complete a short screening- Project matching and onboarding PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

About Chainlink Chainlink is the industry-standard oracle platform bringing the capital markets onchain and powering the majority of decentralized finance (DeFi). The Chainlink stack provides the essential data, interoperability, compliance, and privacy standards needed to power advanced blockchain use cases for institutional tokenized assets, lending, payments, stablecoins, and more. Since inventing decentralized oracle networks, Chainlink has enabled tens of trillions in transaction value and now secures the vast majority of DeFi. Many of the world's largest financial services institutions have also adopted Chainlink's standards and infrastructure, including Swift, Euroclear, Mastercard, Fidelity International, UBS, S&P Dow Jones Indices, FTSE Russell, WisdomTree, ANZ, and top protocols such as Aave, Lido, GMX and many others. Chainlink leverages a novel fee model where offchain and onchain revenue from enterprise adoption is converted to LINK tokens and stored in a strategic Chainlink Reserve. Learn more at chain.link. About the Role Chainlink Labs is seeking Research Interns to support its mission of building the world's most secure and flexible decentralized oracle technologies. Research Engineers will work directly with top domain experts in applied cryptography, mechanism design (cryptoeconomics), distributed systems, and other disciplines to identify and solve key research challenges and build production solutions that keep Chainlink at the forefront of oracle system deployment and fuel the success of the smart contract ecosystem. Your Impact * Working with Chainlink core engineering to identify short- and long-term research challenges critical to the company's success and to transition innovations from Chainlink Labs into production. * Working with research scientists and technical advisors to study, invent, and build cutting-edge oracle technologies for the benefit of the company and community. * Staying abreast of the evolution of relevant technology ecosystems and participating in relevant technical communities for more effective application development and to guide research toward practical and impactful work. Required Qualifications: * B.S. in computer science or equivalent professional experience along with coursework in algorithms and data structures and discrete math. * Familiarity with academic process and ability to engage with existing literature on relevant research topics, e.g. by performing literature searches and comprehending papers in a wider context. * Professional software development experience is required. Preferred Qualifications * Advanced computer science or related degree, coursework in applied and theoretical cryptography, mechanism design, distributed systems, or related fields. * Familiarity with Go or Rust. * Broad knowledge of blockchain technologies and familiarity specifically with smart contracts. Our Stack * We use Go, Typescript, Solidity, Python, LATEX, git, and Linux/Unix. All roles with Chainlink Labs are global and remote-based. Unless otherwise stated, we ask that you try to overlap some working hours with Eastern Standard Time (EST). We carefully review all applications and aim to provide a response to every candidate within two weeks after the job posting closes. The closing date is listed on the job advert, so we encourage you to take the time to thoughtfully prepare your application. We want to fully consider your experience and skills, and you will hear from us regarding the status of your application shortly after the closing date. Commitment to Equal Opportunity Chainlink Labs is an equal opportunity employer. All qualified applicants will receive equal consideration for employment in compliance with applicable laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us via this form. Global Data Privacy Notice for Job Candidates and Applicants Information collected and processed as part of your Chainlink Labs Careers profile, and any job applications you choose to submit is subject to our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required.

See yourself at Dataminr As an AI Research Scientist you'll be working on some of the most challenging AI problems in real-time event detection and directly contributing to products while advancing the state of the art. This role can be remote or based out of our New York City, Dublin, or London offices. AI Innovation at Dataminr Working at Dataminr you'll have the opportunity to tackle the most exciting trends in AI on a daily basis to power a revolutionary product that uncovers critical events around the world as they unfold. Regenerative AI: our AI technology, ReGenAI, is a new form of generative AI that automatically regenerates real-time Live Event Briefs as events unfold. Learn more here. Agentic AI: we recently launched our Agentic AI capability, what we're calling our Intel Agents, that autonomously generates critical context for our clients on real-time events, threats, and risks allowing them to see the clearest, most accurate view of what's happening on the ground. Learn more here Multimodal AI: our platform detects events from many different types of data (images, video, sensor data, audio, and text in over 150 languages). Learn more here. The opportunity Perform research to advance the state of the art and solve specific problems at scale in one or more of the following areas: Natural Language Processing, Machine and Deep Learning. Work closely with a diverse, interdisciplinary team to deliver value to customers (existing and new products). Contribute to the research community via publications in top tier venues, participation in program committees, etc. Excel in placing a human-centered focus on the work (context, end-user impact, etc), finding solutions that work in practice and have significant impact. Productionize and ship research into Dataminr's products, and thus to its users worldwide. Senior candidates are expected to lead technical areas and/or people. What you bring At Dataminr, we value you for who you are. We encourage you to apply for this role, even if you don't meet every qualification. Our candidates are reviewed on the basis of their skill and potential to succeed. Ph.D. in Computer Science or related field Experience in one or more of the following topics: AI for cyber security, LLMs, agentic AI, generation, machine translation, summarization, topic detection & tracking, text classification, knowledge extraction/representation/management, trending topic detection, search, machine learning and deep learning, etc. Outstanding publication record (IEEE, AAAI, NeurIPS, ACL, TACL, EMNLP, WWW, etc.). Demonstrated ability to work independently, set up experiments and demonstrate progress through principled use of metrics. Proficiency in Python and experience with relevant AI/ML libraries and frameworks such as PyTorch and Hugging Face Transformers. Experience with LLM serving technologies such as vLLM is a plus. Professional experience in industry (requirement varies depending on level; recent graduates must have had relevant internships). #LI-Remote #LI-BM About Dataminr At Dataminr, we are a mission driven team of talented builders, creators and visionaries who have real-world impact on how organizations are able to respond to events. Dataminr's groundbreaking, AI-powered, intelligence platform provides organizations with the earliest signals of emerging risks, events, and threats before they unfold. Trusted by two-thirds of the Fortune 50 and half of the Fortune 100, Dataminr's platform analyzes billions of public data inputs spanning text, image, video, audio and sensor data across 150+ languages, empowering our clients to stay one step ahead in an increasingly complex world where every second counts. Founded in 2009, we have pioneered the world's first real-time event detection platform, long before the recent Gen AI ‘boom.' Dataminr operates all around the world united by our passion to use AI for the greater good, be agents of positive change and put our technology into the hands of clients charged with the responsibility to keep organizations running and keep people safe. As our employees focus on developing our revolutionary technology, we focus on our employees. Dataminr is proud to offer a variety of flexible work arrangements, offices all over the world to foster collaboration, generous PTO and sick leave, and more, as part of our competitive benefits package aimed at keeping all our employees happy and healthy. Explore all our benefits here. We believe our differences give us strength. Our employees are empowered to be their best, authentic selves through various opportunities, such as our robust employee resource group (ERG) network, manager development programming, professional development funds, and more. We serve a global community made up of many cultures and strive to reflect the world and clients we serve, with a workforce built on merit and equity. We actively condemn racism and discrimination in any form. We stand for social good, fostering a culture of allyship, and standing up for those who face systemic barriers to equality. We lead with empathy and strive to be agents of positive change in our company and in our communities. The annual base salary range for this position is $148,240 - $218,000. You will also be eligible to receive a discretionary bonus and Company equity. Actual salary will be based on a number of factors including, but not limited to, geographic location, applicant skills, and prior relevant experience. Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, color, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status. Dataminr will collect and process your personal data. All personal data will be processed in accordance with applicable data protection laws. Please see Dataminr's candidate privacy notice available here. By providing your details and applying via our careers website, you acknowledge that you have read our candidate privacy notice. If you have any queries, please contact the People Team at *************** or privacy@dataminr.com .

We're Cleerly - a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. About the Team You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly's regulated products. Responsibilities Research and develop state-of-the-art AI and non-AI algorithms for coronary CT imaging applications. Translate product and clinical requirements into algorithmic specifications in collaboration with Product and Clinical teams. Partner with Regulatory Affairs to support regulatory submissions (e.g., 510(k), De Novo,PCCP), including generating evidence and documentation. Collaborate with engineering teams to deploy AI and non-AI based solutions in clinical practice. Communicate findings and strategy to internal stakeholders and leadership through clear technical documentation, presentations, and demos. Contribute to intellectual property development through patents and scientific publications. Mentor junior scientists and foster a culture of technical excellence and scientific rigor. Requirements Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field, with 5+ years combined postdoc and/or industry experience; OR an M.S. with 8+ years of relevant experience. R&D experience in medical image processing, demonstrating subject matter expertise in deep learning methods for image quality enhancements, optical flow analysis and CT harmonization. Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis). Strong experience in Python, Tensorflow and pytorch. Prior experience with ITK, OpenCV, VTK. Excellent interpersonal, cross-functional, and cross-cultural collaboration skills. This role will require travel for up to 25% of the time, often for 3 weeks at a time Preferred qualifications 5+ years of industry experience in AI-based medical device development or clinical deployment. Experience supporting FDA regulatory submissions for ML-based software, including familiarity with De Novo, 510(k), and PCCP pathways. Deep domain knowledge in cardiovascular imaging and CT interpretation workflows. TTC*: $265k - $305k *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.). Each role at Cleerly has a defined salary range based on market data and company stage. We typically hire at the lower to mid-point of the range, with the top end reserved for internal growth and exceptional performance. Actual pay depends on factors like experience, technical depth, geographic location, and alignment with internal peers. Working at Cleerly takes HEART. Discover our Core Values: H: Humility- be a servant leader E: Excellence- deliver world-changing results A: Accountability- do what you say; expect the same from others R: Remarkable- inspire & innovate with impact T: Teamwork- together we win Don't meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company. OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. By submitting your application, you agree to receive SMS messages from Cleerly recruiters throughout the interview process. Message frequency may vary. Message and data rates may apply. You can STOP messaging by sending STOP and get more help by sending HELP. For more information see our Privacy Policy (****************************************** All official emails will come *********************** email accounts. #Cleerly

General Postdoctoral Researcher - $90/hr Remote - Alignerr - Location: RemoteAbout the job At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.Organization: Alignerr Position: General Postdoctoral Researcher (Masters/PhDs) Type: Hourly Contract Compensation: $75-$90 /hour Location: Remote Commitment: 10-40 hours/week Role Responsibilities (Training support will be provided)- Develop, solve, and review advanced problems across various academic and professional domains with real-world relevance. - Apply high-level research expertise to design complex problem statements that challenge and improve AI reasoning. - Collaborate asynchronously with AI researchers and domain experts to enhance AI model performance. - Ensure academic rigor, clarity, and depth across all deliverables.Requirements- Master's or PhD in a STEM or highly technical field from a top U.S. university (or equivalent). - Strong track record of research, publications, or complex project management. - Exceptional written and verbal communication skills with strong attention to detail. - Fluent in English and currently based in the U.S., Canada, New Zealand, U.K., or Australia.Preferred:- Prior experience with data annotation, data quality, or evaluation systems- Experience coding in Python, R, or other research-oriented languages. Application Process (Takes 15-20 min)- Submit your resume - Complete a short screening - Project matching and onboarding PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Position Title Research Assistant (Grider-Potter) Position Type Research Department Biomedical Sciences Full or Part Time Part Time Pay Grade BW4 Information Department Specific Information The incumbent will be initially responsible for processes and analyzing video data from locomotor experiments and anatomical data from imaging. Qualifications include relevant undergraduate coursework in biology and/or biological anthropology. Starting Pay Rate Range: $14.93 - $17.00, commensurate with experience. Summary Under general supervision of the Principal Investigator, assist in conducting experiments, collecting and analyzing and interpreting data, maintaining laboratory and equipment, and ensuring compliance with safety and ethical standards. Principal Functional Responsibilities Experimental Assistance and Safety: Collaborate with researchers to set up experiments and perform research projects. Execute experimental procedures with precision and attention to detail. Adhere to safety protocols and guidelines to maintain a secure work environment. Follow ethical standards and regulatory requirements applicable to the research field. Prepare animals for various research protocols including anesthesia, surgical procedures and sample collection. Data Collection and Analysis: Record and organize data generated from experiments. Assist in the analysis of experimental results using appropriate software and tools. Summarize findings and contribute to the preparation of research reports. Compile and update laboratory notebooks, databases, and electronic records with the detailed records of the experimental procedures, observations and results. Laboratory Maintenance: Maintain laboratory in a clean and orderly manner. Ensure the proper functioning of equipment and promptly report any issues. Monitor and maintain laboratory equipment used for animal care and experimentation. Other Duties: Perform other duties as assigned. Qualifications * Bachelor's degree in a related field or equivalent education and/or training. * Minimum 1 year research experience Preferred Qualifications Physical Requirements Ability to collect and analyze experimental data and handle animals. Must be able to utilize applicable laboratory equipment necessary for the job, as well as a phone, computer and other office equipment. Posting Detail Information NEOMED Campus Safety Guidelines In an effort to keep our campus community as healthy and safe as possible, NEOMED may require vaccinations as a condition of attendance and employment. This policy will allow for exemption of the vaccination requirement for those individuals with valid medical reasons, sincerely held religious beliefs and matters of conscience. Close Date

Position Title Research Technician (Rosen) Position Type Research Department Biomedical Sciences Full or Part Time Part Time Pay Grade BW3 Information Department Specific Information Starting Pay Rate Range: $13.57 - $15.00, commensurate with experience Summary Under direction of the Principal Investigator, assist in conducting experiments, collecting and analyzing data, maintaining laboratory and equipment, and ensuring compliance with safety and ethical standards. Principal Functional Responsibilities Experimental Assistance and Safety: Collaborate with researchers to set up experiments and perform research projects. Execute experimental procedures with precision and attention to detail. Adhere to safety protocols and guidelines to maintain a secure work environment. Follow ethical standards and regulatory requirements applicable to the research field. Laboratory Maintenance: Maintain laboratory in a clean and orderly manner. Ensure the proper functioning of equipment and promptly report any issues. Data Collection and Analysis: Record and organize data generated from experiments. Assist in the analysis of experimental results using appropriate software and tools. Summarize findings and contribute to the preparation of research reports. Compile and update laboratory notebooks, databases, and electronic records with the detailed records of the experimental procedures, observations and results. Other Duties: Perform other duties as assigned. Qualifications * Bachelor's degree in a related field or equivalent education and/or training. * No research experience required. Preferred Qualifications * One year experience in a laboratory environment Physical Requirements Ability to collect and analyze experimental data which may include use of and handling experimental animals. Must be able to utilize applicable laboratory equipment necessary for the job, as well as a phone, computer and other office equipment. Posting Detail Information NEOMED Campus Safety Guidelines In an effort to keep our campus community as healthy and safe as possible, NEOMED may require vaccinations as a condition of attendance and employment. This policy will allow for exemption of the vaccination requirement for those individuals with valid medical reasons, sincerely held religious beliefs and matters of conscience. Close Date

Position Title Postdoctoral Fellow (Lu) Position Type Research Department Biomedical Sciences Full or Part Time Full Time Pay Grade MN9 Information Department Specific Information This is a NIH-funded postdoctoral position in Yong Lu, Ph.D.'s laboratory. Dr. Lu's research, using primarily electrophysiology and microscope imaging techniques (e.g. whole-cell patch clamp and calcium imaging in brain slices), investigates functions of G-protein-coupled receptors and synaptic inhibition in the central auditory system. Candidates should have a Ph.D. in neuroscience. Experience in electrophysiology (in vitro or in vivo) is required. Experience in calcium imaging and/or immunohistochemistry is highly desirable. Starting salary range $53,650-$62,232, commensurate with experience. Summary Engage in independent and collaborative research activities to include designing, conducting and analyzing scientific experiments. Present results of the research along with developing and maintaining knowledge of current scientific literature. Principal Functional Responsibilities Independent and Collaborative Research: Conducts independent research in collaboration with Principal Investigator. Designs experiments, constructs experimental setups, builds equipment components, collects data, analyzes data, and writes manuscripts. Presentations: Report and present research findings and developments. Laboratory Maintenance: Maintain general laboratory cleanliness and safety and oversee regulatory compliance. Other Duties: May instruct and train students and research staff in established techniques and procedures. Perform other duties as assigned. Qualifications * Doctoral degree required (e.g. PhD, MD, DVM, DSc, etc.) * Evidence of independent research skills. Preferred Qualifications Physical Requirements Ability to collect and analyze experimental data and handle animals when applicable. Must be able to utilize applicable laboratory equipment necessary for the job, as well as a phone, computer and other office equipment. Posting Detail Information NEOMED Campus Safety Guidelines In an effort to keep our campus community as healthy and safe as possible, NEOMED may require vaccinations as a condition of attendance and employment. This policy will allow for exemption of the vaccination requirement for those individuals with valid medical reasons, sincerely held religious beliefs and matters of conscience. Close Date