Research scientist lead work from home 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.

About Model Shaping The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. About the Role As a Research Scientist in Post-Training, you will advance the methods for making foundation models more useful and reliable. You will analyze the limitations of current approaches to post-training across domains such as data curation, reinforcement learning, and model evaluation. Based on this analysis, you will design new techniques for model adaptation, as well as benchmarks for measuring the progress in the field. After evaluating your ideas through experimentation, you will present your findings to the global scientific community at leading ML/NLP conferences and collaborate with your teammates to integrate those improvements into Together's platform. Responsibilities Define and drive the research agenda around efficiency and performance of foundation model training Study recent results from the broader AI research community, analyzing their relevance to the team's research directions and ongoing projects Conduct experiments to empirically validate your hypotheses and compare the outcomes with relevant related work Share your findings both internally and externally (e.g., at top-tier conferences on ML and NLP) Partner with Machine Learning Engineers to integrate advanced methods into Together's Model Shaping platform Requirements Can autonomously design, implement, and validate your research ideas Skilled at writing high-quality and efficient code in Python and PyTorch Have first-author publications at leading conferences on ML or NLP (ICLR, ICML, NeurIPS, ACL, EMNLP) Are a strong communicator, ready to both discuss your research plans with other scientists and explain them to broader audience Follow the latest advances in relevant subfields of AI Are passionate about seeing your research create real-world impact through Together AI's services and willing to work hands-on with production systems to achieve it Stand-out experience: Reinforcement learning of language models Curation of pre-training or post-training datasets and benchmarks Robust evaluation of foundation models Running large-scale experiments on GPU clusters About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancements such as FlashAttention, RedPajama, SWARM Parallelism, and SpecExec. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is $225,000 - $300,000. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at *******************************

Job Description Ready to pioneer deep generative modeling for real-time video synthesis? Join a pioneering startup developing the foundation layer for the next big AI unlock, video behaviour and naturalness of conversation in video generation. This in turn will change the game for embodied agents with natural behaviours, real-time expression, and conversational intelligence that goes far beyond current avatar technology. This Research Scientist role focuses on advancing embodied AI through groundbreaking generative modelling research. While existing solutions rely on looped animations with basic lip-sync, this company is building behaviour driven models that drive authentic, real-time interactions capable of natural conversation flow, interruption handling, and emotional expression. Founded 18 months ago by an exceptional team where 7 out of 12 members hold AI PhDs, they're solving fundamental challenges in visual generation for embodied intelligence. Their beta platform already demonstrates sophisticated real-time video generation systems with advanced generative models creating natural facial expressions and body movements. The company is building foundational generative technology that creates dynamic visual content from multimodal inputs, developing systems that generate realistic human-like expressions and movements. Their research sits at the intersection of computer vision, deep generative modeling, and real-time video synthesis. Your focus: Conduct cutting-edge research in deep generative modeling for vision and video generation Develop sophisticated generative models for facial expressions, body dynamics, and full avatar synthesis Create novel architectures using diffusion models and flow matching for video generation Build real-time generative pipelines for dynamic visual content creation Advance state-of-the-art techniques in multimodal generative modeling Collaborate with engineering to productionise generative models into real-time systems Publish findings at top-tier conferences while deploying in real-world applications Technical challenges: You'll work with cutting-edge techniques including diffusion models, flow matching, and advanced generative architectures for video synthesis. The focus is on creating high-quality, temporally consistent video generation that can power natural embodied agents, emphasising real-time performance and visual fidelity. Requirements: PhD in Computer Vision, Machine Learning, or related field Strong publication record at top conferences (CVPR, NeurIPS, ICCV, ECCV, ICML, ICLR, SIGGRAPH) Recent video generation or embodied agent/avatar research publications within the past 2 years (essential) Expertise in flow matching and diffusion models Experience with one or more: dyadic conversational avatars, behaviour modelling via LLMs, real-time multimodal generation PyTorch proficiency and large-scale training experience Nice to have: Industry experience deploying generative models in real-time applications Background in 3D generation, neural rendering, or Gaussian splatting Experience with video generation frameworks and temporal consistency methods Environment: You'll join a distributed team working primarily in Pacific Time zones, collaborating with specialists in generative modeling, computer vision, and video synthesis. The culture emphasises high ownership, velocity with purpose, and collaborative problem-solving in a fast-moving research environment. Package: Competitive salary $200k up to $300k base (flexible based on experience) Meaningful equity package Comprehensive healthcare (90% covered) Unlimited PTO Fully remote work with regular team offsites Life and disability coverage Location: Fully remote position with preference for Pacific Time alignment. If you're excited about conducting pioneering research in deep generative modeling for vision while shaping the future of embodied agents, this offers an exceptional opportunity to work on genuinely transformative technology. Ready to help create the next generation of visual AI? Contact Marc Powell at Techire AI. All applicants will receive a response.

ISEE is seeking full-time Research Scientists to join our team. The ideal candidate has several years of research/work experience. Role responsibilities include:- Leading research contributing to the development of humanistic AI for autonomous systems- Conducting research in the areas of: Robotics, Artificial Intelligence, Machine Learning, Perception, Modeling, Simulation, Applied Mathematics, Probabilistic Modeling and Inference or related areas- Collaborating with engineering and business teams to develop novel solutions to real-world problems- Designing experiments and metrics for benchmarking results Publishing research in top-tier conferences and journals Qualifications:- PhD in Robotics, Computer Science, Electrical Engineering, Aerospace Engineering, Mechanical Engineering, Control Engineering, Machine Learning, Statistics, or a related field- Passionate about self-driving vehicles and real-world robotics solutions.- Experience collecting, processing, and analyzing real-world data.- Strong presentation and communication skills. Recommended- Publication record in top-tier conferences in Robotics and related fields.- Programming experience, ideally with Python and/or C++.- Robotics experience is a plus.

About the Role We're seeking a Research Scientist passionate about 3D generation, flow matching, and diffusion models. You'll help advance the frontier of controllable 3D content creation-building models that generate consistent, editable, and physically grounded 3D assets and scenes. What You'll Do Conduct cutting-edge research on flow-matching, diffusion, and score-based methods for 3D generation and reconstruction. Design and implement scalable training pipelines for controllable 3D generation (meshes, Gaussians, NeRFs, voxels, implicit fields). Develop techniques for conditioning and control (text, sketch, pose, camera, physics) and multi-view consistency. Analyse model behaviour through ablations, visualisations, and quantitative metrics. Collaborate with cross-disciplinary research, graphics, and infrastructure teams to translate research into production-ready systems. Publish results at top-tier venues and work with interns. What You Bring PhD (or equivalent experience) in Machine Learning, Computer Vision, or Computer Graphics. Published work on diffusion, flow-matching, or score-based generative models (2D or 3D). Strong engineering and problem-solving abilities: experience with PyTorch, JAX, or CUDA-level optimisation. Understanding of 3D representations (meshes, Gaussians, signed-distance fields, volumetric grids, implicit networks). Solid grasp of geometry processing, multi-view consistency, and differentiable rendering. Ability to scale experiments efficiently and communicate complex results clearly. Bonus / Preferred Experience generating coherent 3D scenes with multiple interacting objects, lighting, and spatial layout. Familiarity with scene-level control (object placement, camera path, simulation, or text-to-scene composition). Knowledge of video-to-3D, image-to-scene, or 4D temporal generation. Background in physically-based rendering, simulation, or world-model architectures. Track record of impactful publications or open-source releases. Equal Employment Opportunity: We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

You are an ML Researcher who has a broad view of the generative media space and an update-to-date awareness of new methods in the space. You can spot products and features that are missing in the current market and work backwards to develop new methods to solve customers problems. Sometimes your work will require entirely novel training or architecture developments. While other times it will require fine-tuning pre-existing models with novel datasets. You are able to consider the expected return on investment of different approaches, and more excited about using research to develop novel products, then research for research's sake. Tech: You will have access to our massive GPU cluster for training and inference Some core technologies we use include Python, torch, diffusers, and the fal Python SDK You'll work alongside a team dedicated to quickly iterating on and deploying new AI breakthroughs You have work published in ICCV, ICML, Neurips, CVPR What we offer at fal Interesting and challenging work Competitive salary and equity Employee-friendly equity terms (early exercise, extended exercise) A lot of learning and growth opportunities We are currently hiring in downtown San Francisco. We prefer to work in-person but we also offer remote work opportunities for exceptional candidates. We offer visa sponsorship and will help you relocate to San Francisco. Health, dental, and vision insurance (US) Regular team events and offsites

IPinfo is a leading provider of IP address data, including geolocation, VPN and residential proxy detection, mobile carrier data and over 20 other context tags. Our API handles over 120 billion requests a month, and we also license our data for use in many products and services you might have used. We're a fast growing bootstrapped business with a global team of around 60 people, and offer data products including IP geolocation, IP to company, carrier detection, and VPN detection. Our customers include Cloudflare, T-Mobile, SpaceX, DemandBase, Clearbit, and many more. We also sponsor academic conferences such as ACM IMC and ACM CoNEXT to connect with fellow researchers. How We Work We have an ambitious team, spread all over the globe. We sync up on a monthly all-hands Zoom call, and most teams do a call together every 1-2 weeks. Everything else happens asynchronously, via Slack, GitHub, Linear, and Notion. That means you can pick the hours that work best for you, to allow you to be at your most productive. Work within the research team to extract deep knowledge from our data, collaborate with fellow researchers on academic research papers, and discuss ideas at academic Internet measurement conferences. To thrive in this environment you'll need to have high levels of autonomy and ownership. You have to be resourceful and able to work effectively in a remote setup. Responsibilities We collect more than 75TB of Internet data every week, including BGP, DNS, ping and traceroute data from more than 1200 servers around the world. Our research team is at the forefront of analyzing and evaluating this data to ensure it finds its way into our producs - IP geolocation, VPN detection, our IP tags and more. In this role you will be analyzing that data, collaborate with fellow researchers from universities and research institutes, write academic papers and reports based on your analyses, implement measurement and analysis techniques from cutting-edge research, and discuss your findings at academic conferences. Check out ************************** to find example research projects at IPinfo. Skills and Experience PhD in computer science, data science, statistics, or a related field - or equivalent experience Proven experience as a researcher or in a related role Publication track record in networking or security conferences (e.g., ACM IMC, ACM SIGCOMM, ACM CoNEXT) or journals (e.g., ACM SIGCOMM CCR, IEEE/ACM Transactions on Networking) Strong proficiency in programming languages such as Python or Go; data analysis using SQL, pandas, or R Excellent analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Experience with data visualization tools and techniques Strong communication skills and the ability to translate data into actionable insights Commitment to continuous learning and improvement - curious, flexible, believing it can be done better What we offer Opportunity to make measurable impact and operate with autonomy 100% remote team and work environment Flexible working hours Competitive salary Flexible vacation policy Interesting and challenging work

About Sei Sei Labs builds open sourced technology for the high-performance Sei Blockchain, the first parallelized EVM Layer 1 blockchain designed to scale with the industry. The unique optimizations built into Sei enable Web3 applications to reach Web2 level scale and performance, driving the mass adoption of digital assets. The Sei Labs team is comprised of former Google, Goldman Sachs, Robinhood, Nvidia, and Databricks veterans dedicated to onboarding the next billion users onto a vibrant ecosystem of applications. Sei Labs has raised over $30M from top investors including Jump Crypto, Multicoin Capital, Coinbase Ventures, Distributed Global, Hudson River Trading, and Flow Traders. We're a globally distributed team with a fully remote workforce. Check out our website and docs for more details. Position Overview We're looking for a Research Scientist to join our team at the frontier of blockchain research and engineering. This is an opportunity for an early-career researcher (postdocs also welcome) to work on novel, unsolved problems in distributed systems, cryptography, and mechanism design - and see their work directly shape the next generation of blockchain infrastructure. This is a rare chance to work on problems that are unsolved both in academia and industry, and to see your research deployed at scale. You'll be joining a small, ambitious team where researchers and engineers work side by side to invent the future of decentralized systems. Some of our current research streams include: Modelling MEV in a multi-concurrent proposer blockchain context. Designing improved encryption constructions for private data availability (DA), and Advancing consensus protocols to improve scalability and robustness.What You'll Do Conduct original research in blockchain systems - bridging theory, cryptography, and practical engineering constraints. Collaborate closely with engineers to translate research into systems that run at 5 gigagas/second scale. Publish papers and technical reports that advance both the academic and practitioner communities in web3. Partner with leading researchers at other blockchain companies and universities to push the boundaries of what's possible. Influence the engineering direction of our blockchain by grounding design decisions in rigorous analysis. What We're Looking For PhD in Cryptography, Computer Science, Mathematics, etc. with a strong interest and existing research in Blockchain adjacent technologies 0-2 years of post-PhD experience (Postdocs / upcoming PhD's welcome to apply) Strong background in one or more of: cryptography, distributed systems, consensus, game theory, or applied mathematics Strong curiosity for blockchain/web3 research, with motivation to shape production systems and protocols, not just papers

Compensation: $95,000 - $130,000 per year. You are eligible for a Short-Term Incentive Plan with the target at 5% of your annual earnings; terms and conditions apply. Scientist II, Research & Development - Remote US This position is responsible for initiating the development and managing the progress of analytic pipelines for multiple assays/tests. This role will support the analysis of NGS/LRS data from unexplained rare disease cases, such as intellectual disability and other neurological disorders. The position will evaluate relevant literature, research data, new technologies, and software programs to support new assay development and analysis at Ambry. Essential Functions Lead the development of interpretation pipelines for new tests with existing or novel methods; e.g., next generation sequencing, long read sequencing, transcriptomics, etc Supervise and coordinate projects with R&D team members and employees from other departments Serve as author of publications. Perform data analysis and compilation for publications Assist in troubleshooting of problems with research analytic pipelines. Devise solutions to overcome technical issues Research and assess new technologies, and software for potential implementation in new assays or for budgetary savings or expansion of existing tests Other duties as assigned Qualifications M.D. or Ph.D. in molecular biology, biomedical sciences, bioinformatics, or related field 2+ years of postdoctoral training plus professional experience Strong knowledge of molecular biology, cell biology, biochemistry, genetics, bioinformatics, and assay interpretation Strong knowledge in HGVS nomenclature and ACMG/AMP variant interpretation guidelines Strong background in Rare Diseases or other fields covered by Ambry diagnostic tests Capable of excelling within a team environment Capable of assigned workload and additional projects with minimal supervision Ability to communicate effectively, maintain a high level of organization, and to prioritize efficiently Ability and desire to work in fast-paced environment Extensive molecular and cellular biology skills demonstrated through multiple publications Proficient with a broad range of analytic and informatics techniques and data acquisition Familiarity with bioinformatics pipelines for sequencing data, including quality control, alignment to reference genome or de novo assembly, variant calling, annotation, and filtering Strong bioinformatics skills including proficiency with high performance computing and cloud computing platforms such as AWS and scripting languages such as Python or R Knowledge of database design and maintenance including applications of structured query language Ability to read and interpret documents, operating and maintenance instructions, and procedure manuals Ability to write routine reports and correspondence Ability to speak effectively one-on-one and in group settings with clients, vendors, and employees of the organization Proficient in Word, Excel, sequencing software, and other software programs used by Ambry #LI-CB1 #LI-REMOTE PRIVACY NOTICES To review Ambry's Privacy Notice, Click here: ********************************************* To review the California privacy notice, click here: California Privacy Notice | Ambry Genetics To review the UKG privacy notice, click here: California Privacy Notice | UKG Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: ************ The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. You will...- Design and execute on a research agenda for deep-learning based motion planning for self-driving.- Leverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation, foundation models and more.- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.- Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog. Qualifications:- MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be considered.- Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making).- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.- Proficient in reading and coding in Python.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have:- Previous experience in self-driving technology. - Experience deploying ML/DL models to a production motion planning or related robotics stack.- Proficiency in Pytorch, Rust, C++ and/or CUDA.The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

University of Colorado Anschutz Medical Campus Department\: Linda Crnic Institution for Down Syndrome Job Title\: Research Associate #: - Requisition #\:37925 Job Summary: The Linda Crnic Institute for Down Syndrome has an opening for a Bioinformatics Analyst / Data Scientist at the Research Associate level to work at the University of Colorado Anschutz Medical Campus in Aurora. The successful applicant will be an integral member of a collaborative team researching various aspects of Down syndrome using multiple omics-based approaches. Current areas of focus include: The Human Trisome Project (***************** a large cohort study designed to understand why individuals with Down syndrome have a different clinical risk profile compared to the typical population. Studying the role of immune dysregulation and hyperactive interferon signaling in Down syndrome. Understanding molecular and genomic features of co-occurring conditions in individuals with Down syndrome. This position is responsible for performing rigorous analysis and integration of multiple -omics datasets in collaboration with other scientists on the team. The successful candidate will have extensive computational and analytical skills and a demonstrated ability perform the tasks outlined below. The duties and responsibilities of the position include, but are not limited to: Working collaboratively with other members of the team to provide high-level, professional, and scientifically rigorous data management and bioinformatic analyses. Developing and implementing complex analysis pipelines, programming, and data visualization techniques for multi-layered -omics datasets with a particular focus on single cell RNAseq and CyTOF analysis of peripheral and tissue-resident innate and lymphoid immune cell populations. Application of these techniques for more broad analysis of the transcriptome, metabolome, proteome, and epigenome will also be expected. Creatively and effectively integrating data from multiple sources to accelerate discoveries. Thinking independently and creatively to identify and implement best-practice bioinformatic and data management solutions. Creating and disseminating tools for all team members to access relevant clinical and sample data. Collaborating with other team members to co-author abstracts, oral and poster presentations, and scientific manuscripts. Work Location: Remote - this role is eligible to work remotely, but the employee must be in the United States. Why Join Us: The Linda Crnic Institute for Down Syndrome is the largest academic home for Down syndrome research. The Crnic Institute collaborates with prominent scientists and leaders around the globe to enable precision medicine approaches to improve health outcomes in Down syndrome. Learn more at\: https\://medschool.cuanschutz.edu/linda-crnic-institute. Why work for the University? We have AMAZING benefits and offer exceptional amounts of holiday, vacation and sick leave! The University of Colorado offers an excellent benefits package including: Medical\: Multiple plan options Dental\: Multiple plan options Additional Insurance\: Disability, Life, Vision Retirement 401(a) Plan\: Employer contributes 10% of your gross pay Paid Time Off\: Accruals over the year Vacation Days\: 22/year (maximum accrual 352 hours) Sick Days\: 15/year (unlimited maximum accrual) Holiday Days\: 10/year Tuition Benefit\: Employees have access to this benefit on all CU campuses ECO Pass\: Reduced rate RTD Bus and light rail service There are many additional perks & programs with the CU Advantage. Equal Employment Opportunity Statement: The University of Colorado (CU) is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities. Qualifications: Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. Education\: Ph.D. in Immunology, Bioinformatics, Molecular Biology, Computational Biology, or a related field such as Biostatistics. Experience\: Three or more years of experience applying bioinformatic tools to next-generation sequencing data (e.g. RNA sequencing, ChIP-seq, microbiome) and/or related omics-level data. Special Skills\: Strong programming skills in common languages/packages used for bioinformatic and statistical analysis and (e.g. R/Bioconductor/Tidyverse, Python, Perl). Special Skills\: Strong knowledge of statistical principles relevant to biomedical research. Preferred Qualifications The following preferred qualifications will be highly valued in potential candidates: Experience working with complex high-dimensional data sets in the field of immunology, including sc RNA-seq, CITE-seq, CyTOF, spacial transcriptomics, and spectral flow cytometry of immune cells subsets. Extensive knowledge of various immune cell subsets including myeloid cells, innate lymphoid cells, T cell subsets, and tissue-resident lymphoid cells. Special Skills\: Strong knowledge of statistical principles relevant to biomedical research. Knowledge, Skills, and Abilities To be successful in this position, candidates will need the following: Competency with UNIX-based command line tools and shell scripting. Experience running and troubleshooting jobs in high performance and/or cloud computing environments. Ability to analyze and solve complex problems and apply quantitative analytical approaches. Familiarity with principles of reproducible data analysis and good coding practice. Proven self-initiative and ability to catalyze new projects or ideas. Exceptional organizational and time management skills, ability to manage multiple projects and analysis requests. Excellent written and verbal communication skills, as evidenced by publications and/or presentations. Experience analyzing and mining clinical data, cancer genomics, and related data sets. Advanced statistical knowledge as applied to bioinformatics / genomics. How to Apply: For full consideration, please submit the following document(s): 1. A letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position 2. Curriculum vitae / Resume 3. Five professional references including name, address, phone number (mobile number if appropriate), and email address Applications are accepted electronically ONLY at ********************** Questions should be directed to\: Anne Fiala, ************************* Screening of Applications Begins: Immediately and continues until position is filled. For best consideration, apply by October 20, 2025 Anticipated Pay Range: The starting salary range ( or hiring range ) for this position has been established as HIRING RANGE: $62,000-$90,000 The above salary range ( or hiring range ) represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. This position is not eligible for overtime compensation unless it is non-exempt. Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line. Total Compensation Calculator\: http\://********************** ADA Statement: The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at ****************************** . Background Check Statement: The University of Colorado Anschutz Medical Campus is dedicated to ensuring a safe and secure environment for our faculty, staff, students and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees. Vaccination Statement: CU Anschutz strongly encourages vaccination against the COVID-19 virus and other vaccine preventable diseases. If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively. In addition, if you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program.

The Lowry Lab at Michigan State University is searching for a postdoctoral research associate to conduct molecular and physiological experiments to understand the causes of genetic variation in cold acclimation and freezing tolerance in the bioenergy crop switchgrass. This work builds on prior research by our group, which found that locally adapted switchgrass induces cold acclimation at higher temperatures and gains much greater freezing tolerance as a result of acclimation. The successful candidate will coordinate their efforts with our ongoing breeding program and transgenic research to improve cold tolerance in high-yielding southern germplasm. Equal Employment Opportunity Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status. Required Degree Doctorate -Biological Sciences Minimum Requirements PhD in a field of the Biological Sciences. Greater than five years of experience working with plants. Desired Qualifications Prior experience conducting cold acclimation and freezing tolerance experiments. Expertise in plant physiology and/or molecular plant biology. Required Application Materials cv Remote Work Statement MSU strives to provide a flexible work environment and this position has been designated as remote-friendly. Remote-friendly means some or all of the duties can be performed remotely as mutually agreed upon. Website https://plantbiology.natsci.msu.edu/ MSU Statement Michigan State University has been advancing the common good with uncommon will for more than 160 years. One of the top research universities in the world, MSU pushes the boundaries of discovery and forges enduring partnerships to solve the most pressing global challenges while providing life-changing opportunities to a diverse and inclusive academic community through more than 200 programs of study in 17 degree-granting colleges.

in disease ecology at Purdue University Description Applications are invited for a full-time postdoctoral position in the laboratory of Dr. Catherine Searle, Department of Biological Sciences, Purdue University: ************************************** This is a 12-month appointment that begins as soon as possible. In person is preferred, but remote work can be accommodated. Projects will involve quantifying host competence and characterizing biodiversity-disease relationships with a focus on how these variables change seasonally. This work primarily involves amphibians infected with the fungal pathogen, Batrachochytrium dendrobatidis, but work on a Daphnia-fungus system or other systems is possible. Project specifics will depend on the candidate's expertise and interest. Compensation $50,000-$60,000, commensurate with experience Application Please apply by emailing the following to Dr. Catherine Searle (******************) with "Postdoctoral position application" in the subject: 1) A resume or CV 2) A document or email that describes a. A brief (~1 paragraph) description of previous research experience b. Explanation of why you are interested in this position c. Details on when you could start and whether you would like to be in person or remote d. A list of 2-3 references (will only be contacted after initial screening) Education Required: * Completion of a Ph.D. or equivalent by the time of appointment in biology, ecology, or another relevant field Experience Qualifications Required: * Completion of a Ph.D. or equivalent by the time of appointment in biology, ecology, or another relevant field Preferred: * Expertise in disease ecology, aquatic host-pathogen systems, analyses of infectious disease data, community ecology * Strong quantitative and writing skills * Ability to work independently and collaboratively * Enthusiasm and interest in disease ecology * Experience with mathematical disease modelling, spatial and/or niche modeling, meta-analyses, and other quantitative analyses (especially if requesting remote work) FLSA Status Exempt Apply now Posting Start Date: 12/12/25

Your Role Within Our Kingdom We are seeking an Associate Principal Data Scientist-a highly experienced and technically deep individual contributor who leads through influence, owns high-impact initiatives, and drives scientific excellence across experimentation and modeling. (This position is open to remote work.) Responsibilities: * Lead the design and execution of large-scale data science initiatives, shaping the roadmap for experimentation and modeling across teams. * Apply advanced statistical, optimization, and machine learning techniques (e.g., time-series, regression/classification, recommendation engines, reinforcement learning, and gen AI) to drive system understanding and develop data-powered solutions across the organization. * Own design and evaluation of experimentation for optimization systems. * Provide technical direction, mentor senior data scientists, and set high standards for scientific rigor, communication, and reproducibility. * Partner cross-functionally with Product, Engineering, and Game Studios to frame ambiguous problems, scope solutions, and influence strategy. * Champion innovation by evaluating new methodologies and tools, and by raising the bar for scalable, interpretable, and actionable data science. Skills to Create Thrills Minimum Qualifications: * Master's degree or PhD in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Engineering, Operations Research). * 14+ years of industry experience (or equivalent post-graduate experience) in data science, experimentation, statistical modeling, and machine learning, including work with large-scale systems. * Proficient in Python and SQL; familiarity with big data tools (e.g., Spark, Hive) and cloud computing platforms (e.g., GCP, AWS). * Strong systems thinking-able to zoom out and define strategy while also diving deep into code and analysis. * Excellent communication and collaboration skills, with demonstrated experience partnering across Product, Engineering and Business teams. * Demonstrated experience mentoring, influencing, and elevating the technical bar across a data science organization. * Relevant experience with one or more advertising solutions (i.e. Real-Time Bidding, Ad Exchange, etc.) Bonus Points * Prior work with mobile gaming studios or player behavior modeling. * Experience in developing or maintaining experimentation platforms. * Familiarity with modern data orchestration and versioning (e.g., Airflow, dbt, MLflow). We love hearing from anyone who is enthusiastic about changing the games industry. Not sure you meet all qualifications? Let us decide! Research shows that women, veterans, and members of other under-represented groups tend to not apply to jobs when they think they may not meet every qualification, when, in fact, they often do! We are committed to creating a diverse and inclusive environment and strongly encourage you to apply. We are committed to working with and providing reasonable assistance to individuals with physical and mental disabilities. If you are a disabled individual requiring an accommodation to apply for an open position, please email your request to accommodationrequests@activisionblizzard.com. General employment questions cannot be accepted or processed here. Thank you for your interest. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status, among other characteristics. Rewards We provide a suite of benefits that promote physical, emotional and financial well-being for 'Every World' - we've got our employees covered! Subject to eligibility requirements, the Company offers comprehensive benefits including: * Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance; * 401(k) with Company match, tuition reimbursement, charitable donation matching; * Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave; * Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others; * If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance. Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company. You can learn more by visiting *************************************** In the U.S., the standard base pay range for this role is $143,060.00 - $264,846.00 Annual. These values reflect the expected base pay range of new hires across all U.S. locations. Ultimately, your specific range and offer will be based on several factors, including relevant experience, performance, and work location. Your Talent Professional can share this role's range details for your local geography during the hiring process. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed. While we strive to provide competitive offers to successful candidates, new hire compensation is negotiable.

The Forensic Psychology Postdoctoral Fellowship at Eastern Louisiana Mental Health System is offered through the Forensic Neuropsychiatry division of the Tulane Department of Psychiatry and Behavioral Sciences. The goal of the fellowship is to enhance and broaden the fellow's forensic assessment skills. Under supervision, fellows will conduct forensic evaluations at an inpatient forensic hospital (Eastern Louisiana Mental Health System - ELMHS) and in private cases. Fellows will perform a wide variety of forensic mental health assessments with forensic patients, incarcerated individuals, as well as those in the community. A wide range of evaluations are requested at the ELMHS forensic state hospital and include: competency to stand trial (CST) evaluations, evaluations for malingering, psychodiagnostic clarification, intellectual and cognitive evaluations, and violence risk evaluations. Evaluees are justice-involved individuals who have been adjudicated not guilty by reason of insanity (NGRI) or deemed incompetent to stand trial by the court. Fellows will be responsible for selecting, administering, scoring, and interpreting psychological tests with the goal of writing high-quality integrated forensic reports. Additional forensic assessment opportunities are available through conducting private evaluations in person in the greater New Orleans area and as a remote evaluator. The scope of evaluation questions are broad and come from referrals from attorneys, courts, and medico-legal professionals. Typical forensic cases will encompass both criminal and civil areas, although the majority of referrals are for criminal evaluations. Referrals include competency to stand trial evaluations, violence risk assessments, mitigation/resentencing evaluations, and trauma and PTSD evaluations in both federal and state court. A large portion of case referrals are for criminal responsibility evaluations. Fellows will also have the opportunity to participate in administrative and clinical meetings, conduct forensic research, and when possible, supervise other trainees under the umbrella supervision of a licensed psychologist. Fellows will attend forensic training seminars and scheduled didactics, including landmark case seminars and expert witness seminars. The forensic fellow is responsible for leading the ACGME-required Forensic Journal Club/Research Seminar. Participation in the annual mock trial conducted jointly with the Tulane Law Clinic and the Tulane Forensic Psychiatry Fellowship is expected. Additionally, opportunities to observe a board-certified psychologist testify and receive supervision on report writing for court and discussion of expert witness skills is a frequent activity. REQUIRED EDUCATION AND EXPERIENCE: * Completion of a Psy.D. or Ph.D. in Clinical Psychology with a concentration in forensic psychology at an APA-accredited program by the start of the fellowship. * Completion of an APA-accredited internship with an emphasis on forensic psychology by the start of the fellowship. * Eligibility for state or provincial licensure or certification for the independent practice of psychology by the start of the fellowship. REQUIRED KNOWLEDGE, SKILLS, ABILITIES/COMPETENCIES TYPICALLY NEEDED TO PERFORM THIS JOB SUCCESSFULLY: 1. Ability to use and interpret forensic psychological assessment instruments and the ability to obtain relevant data through third-party data gathering and a comprehensive forensic interview. 2. Ability to integrate results and formulate interpretations consistent with data, relevant to the conclusions related to the legal question. 3. Excellent forensic report-writing skills, including the ability to write an accurate, comprehensive, and defensible integrated forensic report focused on the referral/psycholegal issue. 4. Experience in reviewing and summarizing case records. 5. Excellent time management, organizational, and self-management skills, including the ability to self-manage remote work. 6. Ability and willingness to travel/commute when required. 7. Excellent communication skills, flexibility, and the ability to work in high-stress situations. 8. Working knowledge of, and practice consistent with, the Specialty Guidelines for Forensic Psychologists and the APA's Ethical Principles and Code of Conduct for Psychologists. 9. Ability to initiate and manage forensic research projects and perform empirical literature searches. PREFERRED QUALIFICATIONS: 1. Strength in assessment, particularly knowledge and experience with administering and interpreting forensic assessment instruments. 2. Interest and ability to provide expert testimony in a clear, articulate manner, consistent with ethical and practice guidelines. 3. Eligibility for board certification in Forensic Psychology by the American Board of Professional Psychology (ABPP) at the conclusion of the fellowship. 4. Interest in conducting forensic research. Tulane University is an equal opportunity educator and employer committed to providing an education and employment environment free of unlawful discrimination, harassment, and retaliation. Legally protected demographic classifications (such as a person's race, color, religion, age, sex, national origin, shared ancestry, disability, genetics, veteran status, or any other characteristic protected by federal, state, or local laws) are not relied upon as an eligibility, selection or participation criteria for Tulane's employment or educational programs or activities. Tulane University is responsible for providing reasonable accommodations to individuals with disabilities throughout the applicant screening process. If you need assistance in completing an application or during any phase of the interview process, please contact the Office of Human Resources by phone at ************ or by email at *************.

SCM is committed to a workplace that values and promotes diversity, inclusion and equal employment opportunity by ensuring that all employees are valued, heard, engaged and involved at work and have full opportunities to collaborate, contribute and grow professionally. We are currently seeking a highly driven, well organized, and motivated candidate to join our team. SCM offers the opportunity to work in person, remotely or in a hybrid work environment. Primary Responsibilities: Develop, implement and evaluate quantitative trading models in the global equity markets. Continuously improve trading models and modeling techniques. Identify orthogonal factors to enhance overall portfolio performance. Requirements: 5+ years quantitative hedge fund or proprietary trading experience. Experience utilizing statistical modeling techniques to develop quantitative trading models. Keen focus on achieving outstanding risk adjusted returns. Strong interest in the financial markets. Exceptional economic intuition. Degree(s) in statistics, mathematics, computer science or other technical disciplines. The base pay for this position is anticipated to be between $150,000 and $300,000 per year. The anticipated annual base pay range is current as of the time this job post was generated. This position is eligible for other forms of compensation and benefits, such as a bonus, health and dental plans and 401(k) contributions, which includes a discretionary profit sharing program. An employee's bonus and related compensation benefits can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.

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 .

Join a global community of talented professionals to shape the future of AI. Earn up to $15 USD/hr and additional rewards based on quality of submission. Outlier is committed to improving the intelligence & safety of AI models. Owned and operated by Scale AI, we've recently been featured in Forbes for partnering experts with top AI labs to provide the high quality data for LLMs. We believe AI can only perform as well as the data it's trained on. That's why we work with contributors from all over the world, who help improve AI models by providing expert human feedback. This data has led to AI advancements for the world's leading AI labs and large language model builders. We've built a best-in-class remote work platform for our freelance contributors to provide valuable, specialized skills, and we in turn strive to provide them with a positive experience based on our core pillars of reliability, transparency, and flexibility. What you will be doing We are looking for someone who speaks fluent English to contribute their expertise toward training and refining cutting-edge AI systems. Adopt a “user mindset” to produce natural data to meet the realistic needs you have or would use AI for. Use the tool of rubrics to address user needs in a structured way. Evaluate AI outputs by reviewing and ranking reasoning and problem-solving responses from large language models. Contribute across projects depending on your specific skillset and experience. What we're looking for Education: Bachelor's degree or higher (or currently enrolled). Analytical and Problem-Solving Skills: Ability to develop complex, professional-level prompts and evaluate nuanced AI reasoning. Strong Writing: Clear, concise, and engaging writing to explain decisions or critique responses. Attention to Detail: Commitment to accuracy and ability to assess technical aspects of model outputs. Nice to Haves: Experience in fields like literature, creative writing, history, philosophy, theology, etc. Prior writing or editorial experience (content strategist, technical writer, editor, etc.). Interest or background in AI, machine learning, or creative tech tools. Compensation and benefits Earn up to $15 USD/hr, paid out weekly Rates vary based on quality, accuracy, and time spent. Paid via PayPal & AirTM Free access to Model Playground Interact, experiment and engage with leading large language models free of cost Flexible schedule and time commitment No contracts, no 9-to-5. You control your schedule. (Most experts spend 5-10 hours/week, up to 40 hours working from home Join a global community of Coding experts Join a global network of experts contributing to advanced AI tools Disclaimer: For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project. Equal Opportunity Employer: Outlier is committed to fostering a diverse and inclusive work environment. We welcome applicants from all backgrounds and celebrate diversity in our workforce.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Pinterest is looking for a Sr. Staff Quantitative Researcher (Quant UXR) to lead quantitative research at the intersection of our consumer- and advertiser-facing orgs. We're looking for a seasoned quantitative researcher ready to identify the most important ecosystem-level questions and to create and execute a learning agenda to address them. In this role, you'll bring expertise in behavioral analysis, statistical modeling, and survey methods to design, execute, and communicate strategic research on a deadline in a fast-paced environment. You'll uncover opportunities and solutions that balance engagement and revenue goals, present your results to senior audiences, and partner with other leaders to develop strategy that executes on our learnings. With this role, you'll have ownership of a broad problem space, autonomy to set and execute the learning agenda, and impact over the holistic Pinner experience. What you'll do: Work across monetization teams and as needed collaborate with consumer facing orgs to define and address complex, monetization impacting ecosystem - questions with implications for the business and overall user experience Proactively guide teams to the most important questions and problems to address for users and/or the business; set the quantitative learning agenda for Monetization and decide on the best approaches to address it Prioritize and conduct quantitative research that varies in approach, scale, scope, timeframe and methodology, while balancing effort against priority and impact Explore the intersection of perceptions/attitudes and behaviors through surveys and deep behavioral analysis Participate in the development of user-centric metrics for Monetization teams while aiding in the development of core centric user metrics Elevate topics from the learning agenda that would be best to present to senior leadership and tailor deliverables and socialization efforts for these audiences. Bring together a holistic understanding of the problem space from behavioral analyses, experiment learnings, qualitative insights, and own work to inform product and business decisions Lead strategic initiatives and actively engage in the development of strategy with Product, Design, Engineering, and Data Science partners Partner with research managers to set the quantitative research direction and provide guidance to more junior quantitative researchers What we're looking for: Bachelor's/Master's degree in a relevant field such as human computer interaction or psychology or equivalent experience 7+ years of experience in quantitative product/user experience research with experience leading end-to-end quantitative research studies; an advanced degree in Statistics, Mathematics, or Economics is a plus but not required Experience with Ad product development/UX research preferred Knowledgeable of relevant statistical concepts (significance testing, regression/linear models). Experience with a wide range of quantitative research approaches and methods, experimentation at scale, various survey methodologies and advanced data techniques (Max Diff, Conjoint, Segmentations, Drivers Analysis) Experience with longitudinal analysis, multilevel/mixed effects modeling, and survey weighting and strong SQL and Quantitative Programming skills (R, Python, etc.). Ability to synthesize data from multiple sources (surveys, behavioral, 3rd party) to craft clear insights with strategic business impact) Strong storytelling skills with experience turning data into actionable insights and socializing across different departments (from ad sales executives to data scientists to high-level executives) Adept communicator with a bias toward action and an excellent collaborator, able to build strong relationships within various cross functional teams within and outside of the monetization org. Self-starter and problem solver who proactively partners with other (qual and quant) researchers and cross-functional partners, including Product, Data Science, Finance, Product Marketing, Content, Sales, Marketing, Comms, and Brand, to develop new research initiatives with high comfort working in ambiguity Knows how to 'right size' research approach, i.e., when to deploy tried and tested tools and when to try something new PhD preferred, in computational social sciences (e.g. Economics, sociology, psychology), statistics, computer science, related field, or equivalent practical experience Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. #LI-BL5 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$163,639-$336,903 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.