Avp, AI Platform LPL Financial ServicesAvp, AI PlatformAustin, TX$108,665–$181,177 / yearThe firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. As a leader in the financial advisor-mediated marketplace(6), LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans.
Senior Manager – Wrike IconmaSenior Manager – WrikeAustin, TX$78.04–$105.58 / hourSupport new team admins with designing and optimizing their workspaces, developing dashboards, reports, custom item types, request forms, etc. to fit the teams’ needs. Lead the Wrike Governance Council: a team of Admins with bi-Monthly calls, creating a supportive center of excellence environment to discuss new features, updates and governance issues.
Air Logistics Supervisor Ramp Services Worldwide Flight ServicesAir Logistics Supervisor Ramp ServicesAustinRamp Service Functions: Includes the following: loading and unloading of cargo (mail, express, baggage, freight, and company material) on and off aircraft; the transporting of cargo between terminals and aircraft; the ramp transfers of cargo where required; the receiving, delivering, and physical handling of freight and company material, export at the designated express docks, mail and baggage in the outbound baggage room; the completion of forms and messages related to and necessary for the performance of the designated locations of the functions described. We perform at the highest level for our customers every day, and strive to be an exceptional leader in our industry with our teams of cargo, passenger, ramp handling, and technical service experts in 227 airport locations in 27 countries on 5 continents.
Americas Service Repair Vendor Manager (RSM) CiscoAmericas Service Repair Vendor Manager (RSM)Austin, TexasRemote$124,400–$163,200 / yearThe applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $150,300.00 - $226,100.00 Non-Metro New York state & Washington state: $137,600.00 - $200,200.00 * For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. In our 72-person organization, we foster a collaborative environment across specialized functions—including New Repair Product Introduction (RPI), Repair Data Analytics, Quality, Strategy, and Operations which provides team members with clear pathways for professional growth and cross-functional rotation.
Store Manager Circle K StoresStore ManagerAustin, TexasBe exposed to occasional cold temperature extremes while supervising or managing store employees performing occasional work in a walk-in cooler and/or freezer. Ability to use computer, or acquire those skills necessary to use a computer at the site, which includes analysis of reports, inventory control, cash control, counseling notices, etc.
Growth Data Scientist — Measurement Lead NewsBreakGrowth Data Scientist — Measurement LeadMountain View, CA$100,000–$250,000 / yearRecognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale. Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence.
Research Scientist DatologyAIResearch ScientistRedwood City, CaliforniaTraining on curated data can dramatically reduce training time and cost ( 7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment. We raised a total of $57.5M in two rounds, a Seed and Series A. Our investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI visionaries like Geoff Hinton, Yann LeCun, Jeff Dean, and many others who deeply understand the importance and difficulty of identifying and optimizing the best possible training data for models.
Senior Research Scientist, Human‑Ai Perception And Interaction NvidiaSenior Research Scientist, Human‑Ai Perception And InteractionSanta Clara, CAA track record of applying human behavior models to machine learning applications, or applying machine learning to understand or model human behavior. Excellent track record of publications in top-tier conferences (SIGGRAPH, CHI, HRI, ICRA, NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV, CoG, ETRA, etc.).
Senior Staff Data Scientist, Robotics Agility RoboticsSenior Staff Data Scientist, RoboticsFremont, CARemote$218,000–$340,000 / year3+ years serving as a technical lead or a senior IC on cross-functional efforts, with a track record of setting technical direction for a team of data scientists/analysts, mentoring and growing ICs, and driving alignment across engineering and business stakeholders without formal authority. Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work.
Senior Data Scientist ZoomSenior Data ScientistSan Jose, CAWe set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. Building and deploying end-to-end machine learning models - from exploration through production - that score customer expansion likelihood and churn risk, directly informing revenue strategy.
ML Research Scientist (Computer Vision) MetamorphicML Research Scientist (Computer Vision)Palo Alto, CaliforniaMetamorphic is developing new approaches to intelligence by combining machine learning with large-scale experimental neuroscience, informed by the principles that make the brain efficient, flexible, and robust. Our work sits at the frontier of AI research, and we believe the highest-impact discoveries will come from researchers and engineers working as a single, tightly collaborative team.
NewSenior Robotics Research Engineer, Robotics And AI For Drug Discovery NvidiaSenior Robotics Research Engineer, Robotics And AI For Drug DiscoverySanta Clara, CADeep comfort in working through the complexities of simulation and real-world robotics, including debugging physics simulators and renderers under rapid development; selecting, setting up, maintaining, and enhancing complex robotics hardware; debugging communication systems (latency, bandwidth, race conditions); and designing robust workflows for model training and evaluation. Collaborating with research scientists and engineers in the NVIDIA + Lilly Co-innovation AI Lab with deep expertise across a wide variety of fields (e.g., computational biology and chemistry, generative and agentic AI, bioinformatics, simulation).
AI Research Scientist WriterAI Research ScientistSan Francisco, CAThe instincts and orientation that match WRITER's values: you Connect - you collaborate openly across research, engineering, and product and communicate complex ideas with clarity to both technical and non-technical audiences; you Challenge - you ask the hard questions, push back on conventional wisdom, and pursue the research directions others haven't tried yet; you Own - you drive your projects end-to-end with urgency, take accountability for results, and care deeply about the impact your work has on real customers. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.
Ai/Ml Research Engineer Manifold BioAi/Ml Research EngineerSan Francisco, CA$140,000–$225,000 / yearManifold Bio is a platform biotechnology company pioneering AI-guided protein design and massively multiplexed in vivo screening to unlock tissue-targeted medicines and organism-scale models of living systems. You will be expected to take ownership of engineering challenges in our ML pipeline, from data processing and model training to deployment and monitoring, while collaborating closely with our research team to translate cutting-edge ideas into robust, scalable systems.
NewResearch Scientist, Gen AI & User Representation Learning PredactivResearch Scientist, Gen AI & User Representation LearningPalo Alto, CARemote$130,000–$160,000 / yearThe ideal candidate combines strong scientific thinking with practical engineering skills and enjoys solving challenging problems using large-scale real-world data. You will conduct applied research that advances representation learning, multimodal understanding, and transformer-based modeling while working closely with engineering teams to translate research into production systems.
NewResearch Scientist ResolutionResearch ScientistBerkeley, CaliforniaWe invest heavily in research automation to accelerate progress, and we believe that stronger alignment theory unlocks higher automation: more principled approaches give us better filters for which directions of automated research are promising. Experience with AI alignment is a plus, but is not a requirement: we are excited to bring experienced researchers from other fields into alignment work, and we see our ability to facilitate that transition as one of Resolution's comparative advantages.
NewMember of Technical Staff - Research & Post-training Preference ModelMember of Technical Staff - Research & Post-trainingSan Francisco, CaliforniaWe are looking for machine learning Research Engineers or Research Scientists to push the frontier of post-training on large language models in a role that blends research and engineering, requiring you to implement novel approaches and shape research directions. Architect and optimize our RL training infrastructure, from training abstractions to distributed experiment management, using frameworks like Verl, OpenRLHF, or similar.
Research Scientist Institute of Foundation ModelsResearch ScientistSunnyvale, CaliforniaYou will proactively identify, collect, and organize datasets that enable LLMs to perform complex reasoning tasks, while also developing scalable systems and tooling that integrate cutting-edge research with robust engineering. The Role As a Research Scientist with a focus on data-centric large language model (LLM) development, your role will center on advancing the frontiers of how LLMs reason, retrieve, and interact with external information sources.
Research Scientist, Machine Learning onepotResearch Scientist, Machine LearningSouth San Francisco, CaliforniaYou will build and help maintain infrastructure and abstractions for training a diverse set of models; this includes data pipelines and various system tasks such as parallelism strategies and quantization. You will work with lab staff on data acquisition, train models of many different shapes and sizes, and deploy models directly into experimental workflows.
Research Scientist - Data Institute of Foundation ModelsResearch Scientist - DataSunnyvale, CaliforniaYou will work on exploring andconsolidatingdata sources and collaborate with cross-functional teams to conduct in-depth data research, contributing to MBZUAI’s mission of driving impactful AI discoveries and positioning the institution as a leader in the global AI research community. Preferred Prior research experience in areas such as web data curation and mixing, synthetizing complex datasets for training, LLM evaluation, post-training data, efficient inference, LLM-as-a-judge, tokenization.