Research Scientist Lead remote jobs

SmarterDx, a Smarter Technologies company, builds clinical AI that is transforming how hospitals translate care into payment. Founded by physicians in 2020, our platform connects clinical context with revenue intelligence, helping health systems recover millions in missed revenue, improve quality scores, and appeal every denial. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at smarterdx.com/careers. Role As a Machine Learning Research Scientist, you will lead groundbreaking ML research and development at SmarterDx, collaborating closely with experienced engineers and clinicians to turn your inventions into enterprise-grade products. With minimal supervision, you will establish a research agenda informed by emerging trends in AI, develop and rigorously evaluate your proposed algorithms, deploy your algorithms into production, and monitor impact. You will collaborate closely with other machine learning research scientists to identify the most promising areas of AI/ML R&D for SmarterDx and establish shared infrastructure to accelerate research efforts across the team. What You'll Do 45% Hands-on implementing new methods and relevant baseline models (ML Research) 20% Working cross-functionally to deploy models into production (MLOps, MLE) 20% Data Science (data engineering, dataset curation, experimental design, model updates, product domain expertise) 15% Academics & Outreach (e.g., scientific reading & writing, publishing, presenting at conferences, recruiting) Become a domain expert at clinical data and the healthcare ecosystem Own end to end model development including deployment into production and production monitoring, learning Machine Learning Operations (MLOps) Post training to align large language models (LLMs) on proprietary clinical data Develop new self-supervised pre-training tasks for improving models Develop novel retrieval, attribution and hallucination detection strategies for generative models Develop novel methods for explaining and summarizing diagnostic classifications Develop methods for selecting data sources to include in training (data-centric AI) Develop novel graph-based algorithms for improving classification of diseases and procedures with few or no labels Develop novel methods for multimodal data fusion (structured and unstructured data) Long-sequence language modeling What You Bring Desire to translate research into tangible positive impact by deploying research into production engineering systems (MLOps) With scientific concepts, technical debugging or domain knowledge, ability and desire to communicate clearly and proactively when conveying or receiving Deep “under-the-hood” understanding of modern neural network architectures and distributed training. ie knows the differences between SwiGLU vs. sigmoid, GRUs vs. transformers vs SSMs, encoders vs. decoders, masked language models vs. autoregressive language models, Megatron vs nanotron vs DeepSpeed Extensive experience developing, implementing and training state-of-the-art deep learning models using multiple GPUs and nodes if necessary for large language models with frameworks such as PyTorch, JAX, etc Ability to assess, understand and create high-quality machine learning research, as demonstrated through publications at top-tier conferences and journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, SIGIR, AAAI, NEJM AI, JAMIA, npj Digital Medicine, ar Xiv) Nice To Haves MLSys skills ie knows the differences between tensor vs pipeline vs data parallelism, gloo vs mpi vs nccl, CUDA vs ROCm, Triton vs ThunderKittens Familiarity with inference optimizations, ie vLLM, SGLang, continuous batching, KV Caching, speculative decoding Our Tech Stack PyTorch, Python, GitHub, Snowflake, Huggingface Transformers, AWS Sagemaker, Microsoft DeepSpeed, TorchTune, Apache Airflow, SLURM, Kubernetes Compensation $200-220k base salary + equity incentives #LI-Remote Benefits Medical, Dental & Vision - Comprehensive plans with leading insurance providers, covering 90-100% of your premiums and 70-90% for dependents, depending on the plan. One Medical Membership - Free membership included if you enroll in a SmarterDx medical plan. Paid Parental Leave - Generous paid leave to support families through birth or adoption: Up to 12 weeks for birthing parents and 6 weeks for non-birthing parents. Remote-First Team - Work from anywhere in the U.S. with a $400 home office reimbursement stipend. Unlimited PTO & 10 Holidays - 4 of which include floating holidays so you can recognize the days that matter most to you. Learning & Development Budget - $500 per year (prorated) for courses, books, and resources to expand your skills. 401(k) with Traditional & Roth Options - Tax-advantaged retirement savings through Empower. Minimal Bureaucracy - A fast-moving, high-impact environment where you can focus on what matters. Incredible Teammates! - Work alongside smart, supportive, and mission-driven colleagues.

Reporting to the Director of Strategic Research and Evaluation, this position will complete Institutional Research requests and aid in data management processes; assist in the development of reports and research studies to inform university planning and decision making; answer various institutional, agency, state and federal reports, questionnaires, and surveys. The Institutional Research Associate will offer support, information, and guidance in assisting the Associate Director of Institutional Research, Directors, and the Associate Vice Provost in developing an effective vision, strategy, and procedures for the Office of Institutional Effectiveness (IE). Applicants are required to submit a resume and cover letter. Position Specific Responsibilities/Accountabilities * Develop and disseminate reports on official university statistics for internal and external audiences; develop reports in response to ad hoc data requests. * Report official campus statistics to external agencies including the Integrated Postsecondary Education Data System (IPEDS), US News and World Report, and college guides. * Create and maintain data visualizations, including Tableau dashboards, for internal and external audiences. * In close collaboration with the Director of Strategic Research and Evaluation, lead or collaborate in the preparation of research studies to inform decision making and planning; conduct statistical analyses and prepare reports and presentations of the findings; present findings to relevant audiences. * Assist in data management and governance processes for the Institutional Research team. Identify data quality issues and work with appropriate staff to resolve issues and processes as needed; develop and implement data validation procedures and models that will best meet the planning and decision support needs of the campus. * Collaborate to support the validation of official data and ensure consistent data governance processes. * Participate in institutional research or other higher education professional organizations and keep abreast of national, state, and local educational issues. * Perform other duties as assigned or requested. Loyola Marymount University Expectations: Exhibit behavior that supports the mission, vision, and values of the university. Communicate and employ interpersonal actions that model high standards of professional, responsible, accountable, and ethical conduct. Demonstrate outstanding customer service. Requisite Qualifications * Typically a bachelor's in the social sciences, statistics, or a related field (Master's or Doctoral degree preferred). Incumbent will be expected to continue upgrading knowledge, skills, and abilities needed to keep abreast of regulation/policy changes. * Minimum two years of experience in data analysis, and research design and implementation in an institution of higher learning or other similar setting. * Experience with querying databases using SQL or other programming knowledge. Experience with Banner is a plus. * Demonstrated knowledge in the areas of quantitative research methods, research design, and statistical analysis techniques; established competency using statistical analysis software such as R, SAS, or Stata. Experience with Stata is a plus. * Ability to visualize data into interactive tables and charts. Experience with Tableau is a plus. * Familiarity with the academic enterprise and knowledge of key issues and concepts in higher education. * Exemplary communication skills (both written and oral) as evidenced by the preparation of comprehensive research reports and executive summaries that present complex or technical information in an easily understood fashion. * Ability to work effectively with a variety of individuals and diverse groups; demonstrated success working collaboratively with administrators, faculty, and staff. * Ability to prioritize and manage multiple and varied projects and initiatives. Location: This position can be fully-remote, hybrid, or work on the Westchester Campus. The incumbent must reside in the state of California. The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. #HEJ# #HERC# Staff Regular Salary range $71,100.00 - $88,900.00 Salary commensurate with education and experience. Loyola Marymount University, a Carnegie classified R2 institution in the mainstream of American Catholic higher education, seeks outstanding applicants who value its mission and share its commitment to inclusive excellence, the education of the whole person, and the building of a just society. LMU is an equal opportunity employer committed to providing an environment free from discrimination and harassment as defined by federal, state and local law. We invite all persons in the full diversity of their being, life experience, and beliefs to apply. (Visit *********** for more information.)

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.

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 the Role We're looking for a Research Scientist with deep expertise in training and fine-tuning large Vision-Language and Language Models (VLMs / LLMs) for downstream multimodal tasks. You'll help push the next frontier of models that reason across vision, language, and 3D, bridging research breakthroughs with scalable engineering. What You'll Do Design and fine-tune large-scale VLMs / LLMs - and hybrid architectures - for tasks such as visual reasoning, retrieval, 3D understanding, and embodied interaction. Build robust, efficient training and evaluation pipelines (data curation, distributed training, mixed precision, scalable fine-tuning). Conduct in-depth analysis of model performance: ablations, bias / robustness checks, and generalisation studies. Collaborate across research, engineering, and 3D / graphics teams to bring models from prototype to production. Publish impactful research and help establish best practices for multimodal model adaptation. What You Bring PhD (or equivalent experience) in Machine Learning, Computer Vision, NLP, Robotics, or Computer Graphics. Proven track record in fine-tuning or training large-scale VLMs / LLMs for real-world downstream tasks. Strong engineering mindset - you can design, debug, and scale training systems end-to-end. Deep understanding of multimodal alignment and representation learning (vision-language fusion, CLIP-style pre-training, retrieval-augmented generation). Familiarity with recent trends, including video-language and long-context VLMs, spatio-temporal grounding, agentic multimodal reasoning, and Mixture-of-Experts (MoE) fine-tuning. Awareness of 3D-aware multimodal models - using NeRFs, Gaussian splatting, or differentiable renderers for grounded reasoning and 3D scene understanding. Hands-on experience with PyTorch / DeepSpeed / Ray and distributed or mixed-precision training. Excellent communication skills and a collaborative mindset. Bonus / Preferred Experience integrating 3D and graphics pipelines into training workflows (e.g., mesh or point-cloud encoding, differentiable rendering, 3D VLMs). Research or implementation experience with vision-language-action models, world-model-style architectures, or multimodal agents that perceive and act. Familiarity with efficient adaptation methods - LoRA, adapters, QLoRA, parameter-efficient finetuning, and distillation for edge deployment. Knowledge of video and 4D generation trends, latent diffusion / rectified flow methods, or multimodal retrieval and reasoning pipelines. Background in GPU optimisation, quantisation, or model compression for real-time inference. Open-source or publication track record in top-tier ML / CV / NLP venues. 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

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.

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.

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. We're looking for researchers and engineers to join our efforts. People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks using “microscopes” we build, or as treating neural networks as binary computer programs we're trying to "reverse engineer". A few places to learn more about our work and team at a high level are this introduction to Interpretability from our research lead, Chris Olah; a discussion of our work on the Hard Fork podcast produced by the New York Times, and this blog post (and accompanying video) sharing more about some of the engineering challenges we'd had to solve to get these results. Some of our team's notable publications include A Mathematical Framework for Transformer Circuits, In-context Learning and Induction Heads, Toy Models of Superposition, Scaling Monosemanticity, and our Circuits' Methods and Biology papers. This work builds on ideas from members' work prior to Anthropic such as the original circuits thread, Multimodal Neurons, Activation Atlases, and Building Blocks. We aim to create a solid foundation for mechanistically understanding neural networks and making them safe (see our vision post). In the short term, we have focused on resolving the issue of "superposition" (see Toy Models of Superposition, Superposition, Memorization, and Double Descent, and our May 2023 update), which causes the computational units of the models, like neurons and attention heads, to be individually uninterpretable, and on finding ways to decompose models into more interpretable components. Our subsequent work found millions of features in Sonnet, one of our production language models, represents progress in this direction. In our most recent work, we develop methods that allow us to build circuits using features and use this circuits to understand the mechanisms associated with a model's computation and study specific examples of multi-hop reasoning, planning, and chain-of-thought faithfulness on Haiku 3.5, one of our production models.” This is a stepping stone towards our overall goal of mechanistically understanding neural networks. We often collaborate with teams across Anthropic, such as Alignment Science and Societal Impacts to use our work to make Anthropic's models safer. We also have an Interpretability Architectures project that involves collaborating with Pretraining. Responsibilities: Develop methods for understanding LLMs by reverse engineering algorithms learned in their weights Design and run robust experiments, both quickly in toy scenarios and at scale in large models Create and analyze new interpretability features and circuits to better understand how models work. Build infrastructure for running experiments and visualizing results Work with colleagues to communicate results internally and publicly You may be a good fit if you: Have a strong track record of scientific research (in any field), and have done some work on Interpretability Enjoy team science - working collaboratively to make big discoveries Are comfortable with messy experimental science. We're inventing the field as we work, and the first textbook is years away You view research and engineering as two sides of the same coin. Every team member writes code, designs and runs experiments, and interprets results You can clearly articulate and discuss the motivations behind your work, and teach us about what you've learned. You like writing up and communicating your results, even when they're null To learn more about the skills we look for and how to prepare for this role, see our blog post - So You Want to Work in Mechanistic Interpretability? Familiarity with Python is required for this role. Role Specific Location Policy: This role is based in San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case basis. The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation. Annual Salary: $315,000 - $560,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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

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

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.

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.

Faire is an online wholesale marketplace built on the belief that the future is local - independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants. By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role The Ads Data team is building the next generation of advertising products for the wholesale industry. As a key member of this team, you'll shape the future of our ads system at Faire-from retrieval and ranking to auction design and bidding strategy. Our in-house stack gives us unique end-to-end ownership, and our first-party conversion data allows us to train highly effective models and optimize for real, business-critical outcomes on behalf of our brands. This is a rare opportunity to be an early contributor to a fast-growing team in an incredibly strategic area of the business. Ads is a major company priority and you'll have a massive impact in shaping the platform that connects independent retailers and brands. You'll work closely with engineers, product managers, and designers to launch and iterate on systems that are not just technically sophisticated, but also directly drive improvements to the bottom line for both brands and Faire. What you'll do Own the end-to-end development of ML models across the ads stack-from problem framing, solution design, modeling, and implementation to deployment, experimentation, and impact measurement Build best-in-class models in areas such as ads retrieval, ranking, auction optimization, bidding, and pacing-drawing from techniques in search/recommendation systems and marketplace optimization As an early member of the Ads Data team, help define its roadmap and technical culture, leveraging deep product intuition to shape what ads at Faire should be-not just how they're built Work in a fast-paced, collaborative environment with team members who've shipped ML at top tech companies (e.g. Uber, Airbnb, Meta, Amazon, Pinterest) Qualifications 7+ years of industry experience using machine learning to solve real-world problems, with 3+ years in Ads, Search, Recommendations, or a related large-scale production domain. Demonstrated ownership of the full ML lifecycle: from scoping and design through training, deployment, A/B testing, and iteration Strong programming skills, with an excitement and willingness to learn new tools and techniques Experience with relational databases and SQL The ability to contribute to team strategy and to lead model development without supervision Strong communication skills and the ability to work with others in a closely collaborative team environment Great to Haves Highly recommended: Master's or PhD in Computer Science, Statistics, or related STEM fields Ability to quickly implement state of the art algorithms from an academic paper Salary Range: California: the pay range for this role is $224,000 to $308,000 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. Hybrid Faire employees currently go into the office 2 days per week on Tuesdays and Thursdays. Effective starting in January 2026, employees will be expected to go into the office on a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Applications for this position will be accepted for a minimum of 30 days from the posting date. Why you'll love working at Faire We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process. We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners. We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy. We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality. Faire was founded in 2017 by a team of early product and engineering leads from Square. We're backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog. Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (************************** Privacy For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire's Privacy Notice (******************************

Build to Protect Civilization TRM is a blockchain intelligence company that's on a mission to build a safer financial system for billions of people. We're a lean, high-impact team tackling some of the world's most critical challenges, ranging from human trafficking and financial fraud to terrorist financing. We are builders who power governments, financial institutions, and crypto companies when the clock is running and the consequences are real. This is why every TRMer is a bet on our future and has the power to change our trajectory. About the Position As a Talent Researcher at TRM Labs, you'll play a foundational role in enabling high-quality, high-velocity hiring. You will lead research efforts to uncover top talent in highly specialized domains, develop market intelligence, and build strategic longlists to accelerate hiring across technical teams. This role sits at the intersection of research, analysis, and recruiting execution - ideal for someone who is deeply curious, analytically sharp, and excited to build highly specialized team at scale. The impact you'll have here: Build organizational charts and talent maps across high-priority companies and sectors, surfacing high-potential candidates and under-the-radar talent. Partner with recruiters and hiring managers to define research questions and clarify search criteria. Translate fuzzy ideas into actionable frameworks and longlists. Deliver competitive talent insights (e.g., compensation, location trends, hiring velocity) that shape hiring strategy and increase hiring precision. Proactively maintain and refresh longlists in core verticals to support just-in-time sourcing when a new role opens. Drive efficiency across the research function by improving tooling, workflows, templates, and data accuracy. What we're looking for: 5+ years of experience in talent research, executive search, or sourcing with a strong research component. Demonstrated ability to build talent maps and org charts across technical or executive roles. Experience using sourcing/research tools like LinkedIn Insights, LinkedIn Recruiter, Gem, deep research techniques, and Airtable or GSheets. Analytical mindset with ability to generate insights from data and present them in concise, actionable formats. Strong communication and stakeholder management skills; ability to collaborate asynchronously across time zones. Comfortable working in ambiguity and shifting priorities in a high-growth, fast-paced environment. Bonus if you've done research within: blockchain infrastructure, crypto security, fintech fraud, or government threat intelligence. About the Team: Our talent team is fully remote, embracing async communication and collaboration through Slack channels, thorough documentation, and proactive updates to keep work moving forward smoothly across time zones. We're committed to structured alignment, holding weekly hiring syncs for each role, weekly team sourcing syncs, and bi-weekly team meetings to ensure everyone is on the same page and to solve challenges collectively. Driven by a dedication to our craft, we continuously refine our best practices and data quality to deliver an exceptional experience for both internal stakeholders and candidates, supported by precise, reliable reporting. As a globally distributed team, we operate across various time zones, yet most of us overlap for collaboration and meetings between 7am-12pm PST, bringing flexibility and resilience to our work routines. All team members, regardless of location, maintain at least a 4-hour overlap with PST business hours to enable real-time collaboration and drive solutions effectively across the team. Learn about TRM Speed in this position: Within 72 hours of role intake, deliver a longlist of 30-50 uncontacted profiles, a draft org chart, and relevant market snapshots for recruiter and HM review. Provide 2-3 competitor org breakdowns, compensation benchmarks, and job description comps within the first week to support calibration. Identify 3-5 teammates with strong networks in target areas to drive referral mapping and increase pipeline depth. Refresh and re-rank passive candidate pools bi-weekly, applying input from hiring team and market shifts. Develop and maintain research templates, dashboards, and longlist hygiene best practices to help the team scale. Life at TRM We build to protect civilization. That promise shows up in how we work every day. TRM runs fast. Really fast. We're a high-velocity team that expects ownership, clarity, and follow-through. People who thrive here are inspired by hard problems, experimentation, direct feedback. If it takes months elsewhere, it often ships here in days. If you are optimizing primarily for consistent work-life balance, use the interview process to pressure-test fit. We want teammates who thrive here, not just survive here. We coach directly, assume positive intent, and play for the front of the jersey. Leadership Principles Impact-Oriented Trailblazer: We put customers first, driving for speed, focus, and adaptability. Master Craftsperson: We prioritize speed, high standards, and distributed ownership. Inspiring Colleague: We value humility, candor, and a one-team mindset. Want to learn more about how we interview at TRM Labs? Check out more about our leadership principles and hiring process here. What You'll Do Here This work has teeth. At TRM, your week might include: Driving critical investigations that can't wait for typical business hours. Shipping products in days when others would schedule quarters. Partnering with teams across time zones to deliver insights while the story is still unfolding. Building new solutions from first principles when the playbook doesn't yet exist. Protecting victims and customers by tracing illicit activity and disrupting criminal networks. Join our Mission We look for people who want their work to matter, who build with speed and rigor, and who take pride in protecting others through their craft. If you're excited by TRM's mission but don't check every box, apply anyway. We hire for slope, judgment, and the will to learn fast. Build to protect civilization. Let's do it together. Recruitment agencies TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement. Privacy Policy By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the TRM Privacy Policy Learn More: Company Values | Interviewing | FAQs

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 .