Associate scientist lead jobs near me

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.

Company Credit Genie is a mobile-first financial wellness platform designed to help individuals take control of their financial future. We leverage artificial intelligence to provide personalized insights and are building a financial ecosystem by offering tools and services that provide instant access to cash, and building credit. Our goal is to empower every customer to achieve long-term financial stability. Founded in 2019 by Ed Harycki, former Swift Capital Founder (acquired by PayPal in 2017). Backed by Khosla Ventures and led by industry pioneers from companies such as; PayPal, Square, and Cash App, we are well positioned to build the future of inclusive finance through cutting-edge technology and customer-centric solutions. Overview Come join our AI/ML and Data Science community at Credit Genie! We are seeking a ML Scientist technical leader with a solid background in Machine Learning and the consumer risk domain, who is excited about solving challenging Machine Learning and Data Science problems and driving results while maintaining the highest bar for methodological rigor. In this role, you will have an opportunity to design and implement our company's next generation of Risk models that will have a vast impact across underwriting, fraud prevention and collections. These models are central to our business and have a direct impact on our customers every day. You will also design, execute, and evaluate new data acquisition processes as well as A/B tests and other experiments. What You'll Do Set the company's Risk Machine Learning roadmap in collaboration with our cross functional partners Own the end-to-end design and development of ML solutions that power our products' risk decisioning, driving both optimized risk outcomes and an exceptional customer experience Work with a growing team of AI/ML experts on the design and implementation of new Risk ML and feature engineering infrastructure Partner cross-functionally with Product, Analytics, Engineering, and business teams to generate actionable insights and build data-driven models that drive business impact Set and maintain the highest methodological standards for Data Science across the company Solve problems that have no clear existing solution and directly impact our customers Requirements A Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field; an advanced degree is preferred 8+ years of hands-on experience in machine learning, data science, or advanced analytics Deep understanding of machine learning algorithms, statistical modeling, and data analysis techniques Strong problem-solving abilities, attention to detail, and a data-driven mindset Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical audiences Proficiency in Python and common ML/data libraries (NumPy, pandas, scikit-learn, XGBoost, etc.) Experience with SQL and data platforms such as Snowflake, Databricks, and Tableau Benefits and Perks Our goal is to provide a comprehensive offering of benefits and perks that promote better financial, mental, and physical wellness. We believe working alongside each other in person is the best way to build a great product and foster a strong company culture. Our expectation is that employees are in the office five days a week, allowing for optimal collaboration, inclusivity, and productivity. At the same time, we understand that life happens and recognize the importance of flexibility. We are committed to supporting our employees when circumstances arise that require remote work or adjusted schedules. Our goal is to ensure everyone can effectively balance personal and professional responsibilities while maintaining our collaborative and productive environment. Here are some highlights of our benefits and perks offerings, feel free to ask your recruiting partner for more details on our comprehensive offering for employees. 100% company-paid medical, dental, and vision coverage for you and your dependents on your first day of employment. Monthly fitness reimbursement up to $100 or a full membership to LifeTime Fitness 401(k) with a 2.5% match and immediate vesting Meal program for breakfast, lunch, and dinner Life and accidental insurance Flexible PTO Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total compensation and rewards package at Credit Genie. You may also be eligible to participate in the bonus and equity programs. You will also have access to comprehensive medical, vision, and dental coverage, a 401(k) retirement plan with company match, short & long term disability insurance, life insurance, and flexible PTO along with many other benefits and perks. Credit Genie is a proud Equal Opportunity Employer where we welcome and celebrate differences. We are committed to providing a workspace that is safe and inclusive, where everyone feels supported, connected, and inspired to do their best work. If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview.

Company Credit Genie is a mobile-first financial wellness platform designed to help individuals take control of their financial future. We leverage artificial intelligence to provide personalized insights and are building a financial ecosystem by offering tools and services that provide instant access to cash, and building credit. Our goal is to empower every customer to achieve long-term financial stability. Founded in 2019 by Ed Harycki, former Swift Capital Founder (acquired by PayPal in 2017). Backed by Khosla Ventures and led by industry pioneers from companies such as; PayPal, Square, and Cash App, we are well positioned to build the future of inclusive finance through cutting-edge technology and customer-centric solutions. Overview Come join our AI/ML and Data Science community at Credit Genie! We are seeking a ML Scientist technical leader with a solid background in Machine Learning and the consumer risk domain, who is excited about solving challenging Machine Learning and Data Science problems and driving results while maintaining the highest bar for methodological rigor. In this role, you will have an opportunity to design and implement our company's next generation of Risk models that will have a vast impact across underwriting, fraud prevention and collections. These models are central to our business and have a direct impact on our customers every day. You will also design, execute, and evaluate new data acquisition processes as well as A/B tests and other experiments. What You'll Do * Set the company's Risk Machine Learning roadmap in collaboration with our cross functional partners * Own the end-to-end design and development of ML solutions that power our products' risk decisioning, driving both optimized risk outcomes and an exceptional customer experience * Work with a growing team of AI/ML experts on the design and implementation of new Risk ML and feature engineering infrastructure * Partner cross-functionally with Product, Analytics, Engineering, and business teams to generate actionable insights and build data-driven models that drive business impact * Set and maintain the highest methodological standards for Data Science across the company * Solve problems that have no clear existing solution and directly impact our customers Requirements * A Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field; an advanced degree is preferred * 8+ years of hands-on experience in machine learning, data science, or advanced analytics * Deep understanding of machine learning algorithms, statistical modeling, and data analysis techniques * Strong problem-solving abilities, attention to detail, and a data-driven mindset * Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical audiences * Proficiency in Python and common ML/data libraries (NumPy, pandas, scikit-learn, XGBoost, etc.) * Experience with SQL and data platforms such as Snowflake, Databricks, and Tableau Benefits and Perks Our goal is to provide a comprehensive offering of benefits and perks that promote better financial, mental, and physical wellness. We believe working alongside each other in person is the best way to build a great product and foster a strong company culture. Our expectation is that employees are in the office five days a week, allowing for optimal collaboration, inclusivity, and productivity. At the same time, we understand that life happens and recognize the importance of flexibility. We are committed to supporting our employees when circumstances arise that require remote work or adjusted schedules. Our goal is to ensure everyone can effectively balance personal and professional responsibilities while maintaining our collaborative and productive environment. Here are some highlights of our benefits and perks offerings, feel free to ask your recruiting partner for more details on our comprehensive offering for employees. * 100% company-paid medical, dental, and vision coverage for you and your dependents on your first day of employment. * Monthly fitness reimbursement up to $100 or a full membership to LifeTime Fitness * 401(k) with a 2.5% match and immediate vesting * Meal program for breakfast, lunch, and dinner * Life and accidental insurance * Flexible PTO Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total compensation and rewards package at Credit Genie. You may also be eligible to participate in the bonus and equity programs. You will also have access to comprehensive medical, vision, and dental coverage, a 401(k) retirement plan with company match, short & long term disability insurance, life insurance, and flexible PTO along with many other benefits and perks. Credit Genie is a proud Equal Opportunity Employer where we welcome and celebrate differences. We are committed to providing a workspace that is safe and inclusive, where everyone feels supported, connected, and inspired to do their best work. If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview.

United by one profound purpose: to reach EVERY PATIENT POSSIBLE. At Avalere Health, we ensure every patient is identified, treated, supported, and cared for. Equally. Our Advisory, Medical, and Marketing teams come together - powerfully and intentionally - to forge unconventional connections, building a future where healthcare is not a barrier and no patient is left behind. Achieving our mission starts with providing enriching, purpose-driven careers for our team that empower them to make a tangible impact on patient lives. We are committed to creating a culture where our employees are empowered to bring their whole selves to work and tap into the power of diverse backgrounds and skillsets to play a part in making a difference for every patient, everywhere. Our flexible approach to working allows our global teams to decide where they want to work, whether in-office or at home based on team and client need. Major city hubs in London, Manchester, Washington, D.C., and New York, and smaller offices globally, serve as collaboration hubs allowing our teams to come together when it matters. Homeworkers are equally supported, with dedicated social opportunities and resources. Our inclusive culture is at the heart of everything we do. We proudly support our employees in bringing their whole selves to work with our six Employee Network Groups - Diverse Ability, Family, Gender, LGBTQ+, Mental Health, and Race/Ethnicity. These groups provide opportunities to promote diversity, equity, and inclusion and to connect, learn, and socialise through regular meetings and programs of activity. We are an accredited Fertility Friendly employer with our Fertility Policy, enhanced parental leave, and culture of flexibility ensuring every employee feels supported across their family planning journey and can work in a way that suits their family's needs. We are deeply invested in supporting professional growth for our employees through day-to-day career experiences, access to thousands of on-demand training sessions, regular career conversations, and the opportunity for global, cross-capability career moves. We take pride in being part of the Disability Confident Scheme. This helps make sure you can be interviewed fairly if you have a disability, long term health condition, or are neurodiverse. If you'd like to apply and need adjustments made, you can let us know in your application. About The RoleAvalere Health's Market Access Practice is seeking a Research Scientist II to join its analytics team. This role leverages advanced Excel modeling, data visualization, and technical expertise in market access and commercial analytics to address critical business challenges for life sciences companies, health plans, providers, and other stakeholders. Key focus areas include:• Developing advanced Excel-based models for gross-to-net forecasting, ASP trends, and scenario planning.• Building efficient workflows for data extraction, visualization, and reporting to enhance analytic delivery.• Creating intuitive data visualizations to communicate complex analyses effectively.• Mentoring junior analysts in Excel modeling, data handling, and technical approaches.• Supporting strategic planning for life science companies related to pricing and contracting decisions across a portfolio of products, channels, and customers. This role is ideal for a technical expert passionate about advanced modeling, process efficiencies, and developing the next generation of analysts. Join us to shape market access strategies and drive impactful healthcare solutions.What you'll do Designing and implementing advanced Excel-based models with complex formulas, VBA scripting, and scenario planning capabilities. Leading the creation of internal tools to standardize and streamline common data extractions and visualizations. Collaborating with clients to translate their business challenges into structured analytic approaches. Mentoring junior analysts in Excel modeling techniques, quality control, and efficiency improvements. Establishing best practices for modeling, data handling, and visualization workflows to drive team efficiency. Ensuring the accuracy, quality, and consistency of analytic outputs. Building and managing data dashboards (e.g., Tableau, Power BI) to visualize market access data. About you Strong technical background and experience in market access analytics or consulting for biopharma manufacturers. Expert-level Excel modeling skills, including advanced formulas, VBA, and scenario planning for price forecasting and data analysis. Experience developing tools and workflows to improve efficiencies in data extraction and analysis. Proficiency in Tableau or other data visualization tools, with a focus on creating actionable insights. Advanced understanding of healthcare data sources, including payer claims, formulary data, and market access metrics. At least 5 years of professional experience in healthcare analytics, with a focus on market access or biopharma-related roles, with at least 2 years of direct experience developing forecast models. Demonstrated ability to synthesize complex analytic results into actionable insights. Strong collaboration skills, with experience mentoring and guiding junior team members in technical work. Preferred Experience An undergraduate or graduate degree in health economics, biostatistics, data science, or a related quantitative field, or equivalent professional experience. Familiarity with market access concepts such as payer coverage, reimbursement strategies, and ASP and gross-to-net forecasting. Hands-on experience working with life sciences manufacturers or market access consulting firms. What we can offer You will receive a 401K plan with an employer match contribution up to 4% (immediately vested), as well as life insurance, disability coverage, and medical, dental, and vision plans for peace of mind. Enjoy flexible working arrangements, including hybrid and remote work, along with the option to work from anywhere across the globe two weeks each year. We provide 20 vacation days plus one personal well-being day, recognise 9 public holidays, along with gifted end-of-year holidays and an early Summer Friday finish in June, July, and August. Access free counselling through our employee assistance program and personalized health support. Our enhanced maternity, paternity, family leave, and fertility policies provide support across every stage of your family-planning journey. You can also benefit from continuous opportunities to professionally develop with on-demand training, support, and global mobility opportunities across the business. We encourage all applicants to read our candidate privacy notice before applying to Avalere Health.

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

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

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.

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.

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 Large-Scale Learning, you will work on the methods for increasing the efficiency of training foundation models, in terms of both speed and resource efficiency. You will analyze the limitations of state-of-the art techniques for neural network training, as well as the unique performance challenges of Together's training setups. Based on this analysis, you will propose and implement new approaches, targeting both algorithmic improvements and systems optimizations. After evaluating your ideas through experimentation, you will present your findings to the global scientific community at leading ML/ML Systems 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 ML Systems) 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 ML Systems (ICLR, ICML, NeurIPS, MLSys) 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 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: Algorithmic modifications of large neural network training (e.g., novel optimization algorithms or model adaptation techniques) Distributed optimization (including federated learning, communication-efficient optimization, and decentralized training) ML systems optimizations for distributed training, memory efficiency, or compute efficiency Writing optimized NVIDIA GPU kernels or communication collectives using NVIDIA's networking stack (e.g., NCCL or NVSHMEM) 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 *******************************

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

Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community. Job Summary IPAC, part of the Physics, Math, and Astronomy Division at Caltech, provides science operations, user support, data and archive services, and scientific vision to enhance discovery with observatories both in space and on the ground. IPAC invites applications to the science staff from highly qualified individuals for a full-time position to work on a spectroscopic science pipeline on the wide-field instrument with the Roman team at IPAC. The Nancy Grace Roman Space Telescope is a NASA observatory designed to address key questions in the areas of dark energy, exoplanets, and infrared astrophysics. It is slated for launch in late 2026. The Roman Science Support Center (SSC) at IPAC is a part of the Roman Ground Data System, providing algorithm and software development for spectroscopic and Galactic Bulge Time Domain Survey data processing. In addition, the SSC will support the operations of the Coronagraph Instrument, manage the Roman guest investigator proposal solicitations, and provide community support for exoplanet and wide-field spectroscopy science with Roman. For more details, see: ************** ipac. caltech. edu Essential Job Duties As a scientist on the Roman Science Support Center team at IPAC, you will: Develop and test algorithms for extracting near-infrared, slitless spectroscopy taken with the wide-field instrument and the measurement and classification of galaxy spectra. Participate in the planning and implementation of observatory and science calibration and commissioning of Wide Field spectroscopy with Roman. Work with software developers to implement and test pipeline modules. Write pipeline documentation and support the user community. Participate in meetings (virtual and in-person) with the wider Roman team. Conduct independent research. Basic Qualifications If you have the following in your background, then we want to hear about your interest in joining our team: PhD degree in astrophysics or a closely related field. 2 years post-PhD experience with data processing and calibration of infrared and/or optical spectra from space observatories. Ability to work in a team environment. Good written and verbal communication skills. Qualify as a US PERSON as defined by ITAR regulations - A US person is a citizen of the United States, a lawful permanent resident alien of the US ("Green Card" holder), or an individual granted refugee or asylee status under US law. Preferred Qualifications Beyond these basic qualifications, there are a set of skills and experiences which will add to your ability to contribute to the roles and responsibilities of this position. Any of the following might give you a head start here, but even if these do not describe you or your experience, we would still like to hear from you. Reduction and analysis of slitless spectra, including spectral feature identification, decontamination and measurement. Experience in developing and testing software for inclusion in automated pipelines. Required Documents Full resume Cover letter List of three professional references Applications will be accepted until October 8, 2025. Preferred start date is December 2025 or earlier. Depending on start date, an initial remote working arrangement may be considered for up to three months. People choose to work at IPAC for many reasons, and the casual, employee-centric culture often leads to fulfilling, long-term careers and lasting relationships. Caltech's benefits program offers a quality, competitive benefits package that is affordable for you and the Institute. The program provides a strong base of coverage for you and your dependents, and the ability to choose the plan and the level of coverage that best meet your needs. We also offer a 403(b) defined contribution plan to eligible staff as well as a Voluntary Retirement Savings (TDA) Plan. IPAC staff have access to the Institute's facilities, including the athletic center, libraries, on-site daycare, professional development and enrichment classes, and Athenaeum club membership.

Medium's mission is to deepen understanding of the world and spread ideas that matter. We are building the best place for reading and writing on the internet-a place where today's smartest writers, thinkers, experts, and storytellers can share big, interesting ideas; a place where ideas are judged on the value they provide to readers, not the fleeting attention they can attract for advertisers. Role Overview One of Medium's core operating principles is “humans first,” but sometimes to do that we need a little help from machine learning-which is why Medium is looking for an experienced Staff Applied ML Scientist to join our team. First and foremost, you'll own Medium's recommendation systems, which serves millions of readers every day by parsing through an ocean of posts and curating perfect literary pearls for each of them. Under the hood, it's a sophisticated and modern ML pipeline, fueled by a two-tower model and separate deep retrieval and ranking stages. Beyond recommendations, you'll also develop ML models to protect our readers from the burgeoning world of AI slop and spam, explore and evangelize new applications for machine learning across Medium's business, and leverage machine learning to ensure that Medium always puts humans first. Key Responsibilities You'll help us apply machine learning thoughtfully across Medium - starting with recommendations, but extending far beyond them. You'll look for places where ML can make the reading and writing experience more personal, relevant, and human. Experiment with ideas like smarter post discovery that helps writers find their natural audience. Explore opportunities for personalization, quality detection, topic modeling, or even AI-assisted editorial curation - all grounded in improving understanding, not chasing engagement for its own sake. Work closely with design, product, and engineering partners to translate ambiguous user needs into well-framed ML problems. Drive the research. Lead with curiosity and precision. You'll design and interpret experiments, bring statistical rigor to our experimentation, and keep a critical eye on things like bias and spurious correlation in our thinking. Bring organizational leverage. Work across teams to ensure that ML improvements are well-integrated into the product, not off to the side. You'll regularly influence decision-making through cross-functional collaboration, helping product and engineering leaders spot where ML can create leverage and where it shouldn't. Own and continuously improve our recommendation systems. Evolve our two-tower retrieval and ranking stack, refine our feature set, and push on model quality, latency, and interpretability. Find new and innovative ways to use ML techniques to better serve our community of readers and writers. This might mean smarter spam and slop detection, writer quality modeling, or intelligent routing of human moderation. The goal: keep Medium a place where humans thrive, not bots. Positively contribute to the broader culture and data ecosystem at Medium. Mentor others, document your work with clarity, and help raise the bar for how we think about, design, and deploy ML systems. Share learnings generously and make the people and systems around you better. Attend Medium's twice-yearly, in-person offsites (hosted in locations around the U.S.). Skills, Knowledge and Expertise You've been designing and building software for at least 7 years, with at least 3 years focused on architecting and shipping consumer-facing ML models. You have experience integrating ML into end-user products (recommendation, ranking, personalization, moderation). You have a proven track record of developing and deploying ML models that deliver measurable business and user impact, not just theoretical gains. You embody the “applied” in applied ML: You enjoy the research, but love seeing models ship, move metrics, and make people's experiences better. You're fluent in Python and ML libraries such as TensorFlow, HuggingFace Transformers, and scikit-learn. You're comfortable taking models from notebook to production. It's a huge added bonus if you have experience with Apache Spark for distributed or large-scale training. You're an excellent collaborator, able to translate between data, product, design, and engineering worlds, helping non-ML partners see what's possible (and what's not). You're excited to be “the voice of ML” in business and product conversations. You're skilled at identifying and evangelizing high-leverage ML opportunities across the organization, from recommendation systems to new personalization or quality signals. You have hands-on experience with modern model architectures and techniques e.g., feature interaction modeling, advanced negative sampling and bias correction techniques, and efficient large-scale candidate retrieval. (Bonus) You're curious about content discovery, publishing, or online communities, and have a soft spot for writing, ideas, and helping great work get found. Nice to Haves Experience with modern recommender systems. Experience utilizing modern AI tooling to accelerate development efforts. A passion for online writing, publishing, or long-form content. Familiarity with Medium, as a reader, writer, or both! Benefits In addition to the new skills you'll pick up, here's what else you'll enjoy by working at Medium: Working with a fully distributed team: We're fully remote and have teammates across the U.S. & France. Healthcare benefits covered at 100% for employees and 70% for dependents. Generous parental leave policy. Mental health support through Talkspace. Financial wellness support through Northstar. Stipends for co-working, professional development, wifi, and a one-time home office bonus. Unlimited PTO and standard company holidays. A discounted Medium membership! At Medium, inclusion, diversity, and equity are core to how we work and what we build. We believe a more inclusive team creates a better product-one that's intuitive, thoughtful, and serves a wide range of users. We strive to foster a supportive, fun, and challenging environment where people from all backgrounds can thrive. We welcome applicants from all walks of life and strongly encourage those from historically underrepresented groups to apply. Our hiring process is built to ensure fairness and equal opportunity for everyone. Even if your experience doesn't match every requirement, we'd still love to hear from you-your perspective and passion matter more than checking every box. Learn more about our mission, operating principles, and culture: Yes to a diverse community Be part of a better internet Medium Rules Operating Principles Read about our story here. Please note: We've been made aware that our job postings may appear on third-party sites that are not affiliated with our company. To ensure your application is received and reviewed, please apply directly through our official Greenhouse careers page. We do not collect applications through external job boards or services that request your personal information outside of Greenhouse. Additionally we request that all applications and supplemental questions be filled out directly by applicants themselves without the use of AI assistance. Salary Range$250,000-$300,000 USDGDPR Notice We will process your personal data as part of our recruitment process, in accordance with the General Data Protection Regulation (GDPR). For details on how we use your data, including the legal bases for processing, how long we retain it, and your rights under GDPR, please refer to our Privacy Notice. We may retain your information for future job opportunities based on our legitimate interest in building a talent pool. You can object to this at any time by contacting us at *********************. CCPA Notice If you are a California resident, you have rights under the California Consumer Privacy Act (CCPA), as amended by the California Privacy Rights Act (CPRA). These include the right to know what personal information we collect about you, the right to request deletion or correction of your data, and the right to opt out of certain uses. During the hiring process, we may collect personal information such as your name, contact details, resume/CV, employment history, education background, and any information gathered through interviews or assessments. We may share this information with service providers who support our recruitment process, in compliance with CCPA/CPRA. This information is used solely for recruitment and hiring purposes. We do not sell or share your personal information as defined under CCPA/CPRA. Candidate data is retained for up to 48 months for our legitimate business purposes and in accordance with applicable laws. To exercise your rights or request more information, please contact us at *********************. This notice can also be found on our Privacy Notice.

We're Cleerly - a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. About the Opportunity We are seeking a highly skilled Staff Scientist to lead the design, development, validation of innovative clinical workflow that can directly impact the diagnosis and treatment for heart disease. In this senior-level role, you are responsible for architecting a cutting-edge product that integrates our existing technologies while pushing the boundary of innovation in cardiac vascular imaging. You will also represent the company in strategic research collaborations with leading academic and clinical institutions, driving innovation at the intersection of AI and cardiovascular health. Responsibilities Research and develop state-of-the-art AI and non-AI algorithms for coronary CT/fluoroscopy imaging applications. Implement efficient and robust image processing pipeline to solve challenging problems in low latency environments. Translate product and clinical requirements into algorithmic specifications in collaboration with Product and Clinical teams. Partner with Regulatory Affairs to support regulatory submissions (e.g., 510(k), De Novo, PCCP), including generating evidence and documentation. Collaborate with engineering teams to deploy AI and non-AI based solutions in clinical practice. Communicate findings and strategy to internal stakeholders and leadership through clear technical documentation, presentations, and demos. Contribute to intellectual property development through patents and scientific publications. Mentor junior scientists and foster a culture of technical excellence and scientific rigor. Requirements Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field, with 5+ years combined postdoc and/or industry experience; OR an M.S. with 8+ years of relevant experience. R&D experience in medical image processing, including classical image processing algorithm, optical flow analysis, 2D&3D rigid/deformable image registration Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis). Strong experience in C++ and Python. Experience of developing and applying graph processing or GNN(graph neural network) Prior experience with ITK, OpenCV, VTK, CMake, Slicer is a plus Prior experience with cardiac motion modelling or tracking is a plus Excellent interpersonal, cross-functional, and cross-cultural collaboration skills. Preferred Qualifications 5+ years of industry experience in AI-based medical device development or clinical deployment. Experience supporting FDA regulatory submissions for ML-based software, including familiarity with De Novo, 510(k), and PCCP pathways. Deep domain knowledge in cardiovascular imaging and CT interpretation workflows. TTC*: $265k - $305k * Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.). Each role at Cleerly has a defined salary range based on market data and company stage. We typically hire at the lower to mid-point of the range, with the top end reserved for internal growth and exceptional performance. Actual pay depends on factors like experience, technical depth, geographic location, and alignment with internal peers. Working at Cleerly takes HEART. Discover our Core Values: H: Humility- be a servant leader E: Excellence- deliver world-changing results A: Accountability- do what you say; expect the same from others R: Remarkable- inspire & innovate with impact T: Teamwork- together we win Don't meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company. OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. By submitting your application, you agree to receive SMS messages from Cleerly recruiters throughout the interview process. Message frequency may vary. Message and data rates may apply. You can STOP messaging by sending STOP and get more help by sending HELP. For more information see our Privacy Policy (****************************************** All official emails will come *********************** email accounts. #Cleerly

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.

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

Employment Type: Contract Business Unit: Pre-Pivotal DP Synthetic Enabling Technology Duration: 1+ year Rate: $20-22/Hr 3 Key Consulting is hiring an Associate Scientist for a consulting engagement with our direct client, a leading global biopharmaceutical company. Job Title: Project Manager - REMOTE - (JP9268) Location: Thousand Oaks, CA. (100% REMOTE) Employment Type: Contract Business Unit: Medical Device Supply and Raw Materials Duration: 1+ years (with likely extensions) Notes: Posting Date: 10/14/2021 3 Key Consulting is hiring a Project Manager for a consulting engagement with our direct client, a leading global biopharmaceutical company. Job Description: In this laboratory-based on-site position, you will work within a cutting-edge solid-state chemistry team to support drug development. You will perform several functions and work across Process Development sites as you use solid state characterization tools to derive knowledge that will help drive efficient development and scalable understanding of processes and products in client's small molecule pipeline. The ideal candidate would possess: Proficiency in solid state characterization techniques, such powder X-ray diffraction, particle analysis by laser diffraction, thermal analysis (TGA/DSC), optical microscopy, surface area measurement. Attention to detail, adaptability to new techniques and multiple tasks, ability to solve problem and meet deadlines, and effectiveness to work independently and as a team member. Strong computer skills in instrumentation and data processing in a client-server environment. Excellent communication (verbal and written) and organizational skills. Why is the Position Open? Planned project. Top Must-Have Skill Sets: Experience with solid state characterization techniques. 1-2 years experience Strong knowledge in physical and organic chemistry. Bachelors degree in chemistry or chemical engineering Good verbal and written communication skills Day to Day Responsibilities: Perform solid state characterization measurements and analyses. Design and conduct experiments for form screening and form characterization analysis by following instructions and guidance from project representatives. Interpret data, maintain timely documentation (i.e. electronic notebooks), and contribute to technical reports and presentations in a cross-functional team environment. Participate in lab housekeeping, maintain lab equipment and supplies, and comply with lab safety guidelines. May work occasionally on flexible schedule, i.e. starting early morning or finishing late evening, depending on the project need Basic Qualifications: B.S. with degree in Chemistry, Chemical Engineering, Materials Science, Pharmaceutical Science or related scientific background experience. Pharmaceutical/biotech industry experience preferred, but not required. Demonstrated knowledge of various solid-state characterization techniques such as XRPD, TGA, DSC, particle size, microscopy, surface area, DVS, etc. Good written and oral communication skills. Employee Value Proposition: Candidate would be interfacing with many function areas. Candidate would have a great connection to the pharm development. This is a great hands-on experience and position. Red Flags: No background in physical science No hands on experience with web chemistry labs Interview process: Phone screening followed by in-person interview. We invite qualified candidates to send your resume to **************************. If you decide that you're not interested in pursuing this particular position, please feel free to take a look at the other positions on our website ******************************* You are also welcome to share this opportunity with anyone you think might be interested in applying for this role. hts reserved. Regards, 3KC Talent Acquisition Team

Are you passionate about significantly improving the future of medicine? Do you believe that people are the most important asset of any company? If so, join AmplifyBio! AmplifyBio is a leading contract research organization with a comprehensive range of services that span from being an outsourcing partner for discovery stage R&D work, a preclinical CRO performing safety efficacy and toxicology studies for small molecules and advanced therapies alike, and, most recently, an expansion into manufacturing services for cell, gene, and mRNA-based therapeutics. The AmplifyBio ecosystem is comprised of three distinct business units: ADOC (South San Francisco, CA)- Amplify's Discovery, Optimization, and Characterization laboratories: ASET (West Jefferson, OH) - Amplify's Safety, Efficacy, and Toxicology Site; and the most recently opened AMEC (New Albany, OH) - Amplify's Manufacturing Enablement Center. About ASET West Jefferson, OH: AmplifyBio's safety, efficacy, and toxicology unit (ASET) was launched as a preclinical CRO that spun out of Battelle in 2021 to address the changing needs of commercial organizations developing modern therapeutics. AmplifyBio brings decades of experience to accommodate a wide variety of GLP and non-GLP studies in all in vivo models and dose routes. Among the investments that AmplifyBio has made to empower preclinical assessments of advanced therapies is building a new state-of-the-art analytical laboratory to include molecular and immunological assays that assess critical safety and efficacy indicators for cell and gene therapies during preclinical studies AmplifyBio is currently seeking to hire an Assistant/Associate Scientist to join our growing Analytical Sciences team ! The Assistant/Associate Scientist is responsible for performing analytical testing using a variety of cellular and/or molecular biology analysis platforms. Level of position and title will be based on experience and will report to a supervisor or senior scientist of Analytical Sciences . What You'll Do Here: Perform work in a laboratory setting using a variety of cellular and/or molecular biology analysis platforms. Collect and review data using manual and/or electronic systems. Develop and maintain a good working knowledge of laboratory equipment and experimental procedures to perform assigned laboratory tasks. Communicates routine updates (including technical challenges) on assigned tasks. Recognizes deviations and unusual occurrences notifying responsible individuals promptly and contributes to corrective actions. Complete and maintain training to remain compliant with all regulatory and health/safety requirements. Train less experienced staff as needed. Assists other departments as needed. We Would Love to Hear from You If: Bachelor's degree in molecular biology, Biochemistry, Immunology, Molecular Genetics, or related field. A minimum of 1 year of related work experience in performing cell or molecular assay techniques (e.g., qPCR, dPCR, cytokine analysis, ELISA, PBMC isolation, flow cytometry). Excellent documentation, organization, communication (oral and written), multi-tasking and problem-solving skills. Ability to work independently and in a collaborative team environment. Ability to follow all appropriate regulatory requirements to ensure experimental data are accurately recorded and verified. Ability to work in a BSL-2 research laboratory environment which includes periods of bench-work, working in a bio-safety cabinet, and ability to wear respiratory protection. Must be willing to be immunized with licensed and FDA approved vaccines and medications recommended for persons at risk to occupational exposures. Must have the flexible schedule to accommodate non-standard work hours. Must be able to work more than 40 hours a week (including weekend and holidays) when needed to accomplish necessary tasks. Knowledge of Food and Drug Administration's (FDA) Good Laboratory Practice (GLP) Regulations, 21 CFR Part 58 for the conduct of nonclinical laboratory studies. At AmplifyBio, we're committed to growing and empowering an inclusive community within our company and industry. This is why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives across our organization. AmplifyBio is an equal opportunity employer, and we value diversity at our company. We don't discriminate on the basis of race, color, citizenship status, national origin, ancestry, gender (including gender expression and gender identity), sexual orientation, age, weight, religion, creed, physical or mental disability, marital status, veteran status, political affiliation, or any other factor protected by federal, state, or local law. Why You Will Love Working Here: We take the health and happiness of our employees seriously and consistently evaluate new ways to Amp up our benefits to provide an amazing place to work. From a wellness program (did we mention we have an onsite gym with state-of-the-art equipment and ping pong table?), to financial planning and legal assistance, we make sure to take care of our own. Health, Dental, and Vision insurance that starts on your first day at AmplifyBio! Competitive Compensation Package We take work-life balance seriously and we back it up with a FLEXIBLE PTO policy! Generous paid parental leave Wellness and Self-Care Programs 401(k) match Tuition Reimbursement EAP/work-life support system A fun work environment where everyone's voice matters! We are just getting started! More benefits on the way! An Opportunity to Change the World!!! When you join our team, you will be a part of groundbreaking work while collaborating with our clients, research scientists, study directors, lab technicians, and specialists across a variety of disciplines. The future for AmplifyBio is as great as the combination of our imaginations and actions, and we hold ourselves accountable for our choices and results. We have a bias for action, excellence, and, especially, the health and safety of our employees.

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 .