Principal research scientist work from home jobs

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

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.

at Triton Digital Canada Inc. We are looking for a Senior R&D Data Scientist to join our Data Science R&D team at Triton Digital. We are using data engineering, data analysis, data science methods and machine learning algorithms to develop innovative solutions for our advertising and audience measurement platforms for podcast and radio. We are analysing vast amounts of data to understand the listeners' interests in specific podcast shows and radio stations, as well as their listening behaviors across media types and time, to improve the way me measure audiences and target them with specific ads. As a Senior R&D Data Scientist, you will report to the Director of Data Science and will work with the other members of the Data Science team as well as other teams at Triton Digital (including big data developers, POs, PMs) to develop and implement data driven innovative solutions into our advertising and measurement platforms for podcast and radio. Your knowledge and experience allow you to work efficiently from the early, and highly challenging stages of experimentation, all the way to obtaining full-scale data science products ready to be implemented in production through cross-functional collaboration. You will work in an Agile environment adapted to suit the needs of R&D work. You will have the opportunity to work in an industry where creating pioneering solutions to address business challenges will be a part of your daily routine. In our ever-evolving industry, every project requires a collaborative and customized approach that can be transparently validated through extensive exploratory data analysis techniques and easily explained to technical and non-technical stakeholders. Therefore, if you are someone who likes to roll up their sleeves and do the work that needs to be done, who is a good communicator, an enthusiastic team player, who likes to think outside the box and embraces a good challenge this position is for you. Qualifications Minimum education requirement: BSc or MSc in computer science or a STEM field with courses in statistical analysis or other advanced data analysis disciplines. Minimum 5 years of work experience in a business environment using Python, PySpark or Scala, with a minimum of 3 years worked as a main contributor to create, validate and help implement data-driven solutions in PySpark or Scala, where you used advanced data aggregation techniques, statistical methods and ML algorithms. Proven track record of using judgment and decision skills to interpret results, to communicate, and to carry out R&D data science work in a result-driven manner. Proven track record of using exploratory data analysis to understand the input data and the results, and to investigate problems to find the causes and create solutions. Ability to work under pressure, learn continuously and pivot to correct the course of the R&D data science work. Ability to focus on the problem and use creative approaches efficiently from the early stages of a project when there are more unknowns than knowns. Ability to work both independently and collaboratively within the Data Science team and with cross-functional teams. Strong communication and time management skills. Responsibilities Collaborate within the team and cross-functionally to help define the project stages and help select the best approaches at each stage. Collaborate within the team to form hypothesis and plan the experimental work at each project stage. Test and compare different methods and algorithms during the experimental project phases. Produce high quality code in PySpark that is easily reviewed by others and easily incorporated into the project's data processing pipeline. Produce methodologies that lead to explainable results. Select the most appropriate R&D methodology for solving the business problem at hand, given that black box algorithms might not be suitable most of the time. Perform extensive data analyses on the input data at the beginning of a project to understand its issues, the value of the information that can be extracted from it, as well as its applicability to solve the problem at hand. Innovate to create and validate variables and use them as input data to train machine learning models, create custom logic rules, or a combination of both. Perform extensive data analyses on results throughout the course of a project to validate them, or to debug inaccuracies and create solutions to address them. Iterate quickly by taking decisions based on results to validate or adjust the course of action for the subsequent analysis steps. Prepare results dashboards and presentation materials to explain work progress and outcomes to decision makers, project stakeholders, and during sprint reviews or team meetings. We work with data that presents us with multiple interesting challenges and interesting problems. You will maintain a strong focus on the work priority to solve the problem at hand. Document methodologies and results in systems such as Confluence and Jira.

At NVIDIA, we address some of the world's most exciting challenges with our unique approach to accelerated computing. As a Senior Quantum Algorithm Researcher you will help grow the adoption of our products and collaborate with Product, Engineering, and Research teams to drive innovation at the intersection of quantum computing applications and AI. Your work will contribute to NVIDIA quantum product in key areas such as AI methods for quantum algorithm discovery, advanced quantum simulations, and digital twins. NVIDIA's Quantum group is a small, high-impact team visible both internally within NVIDIA and externally across the global quantum community. We're looking for passionate quantum algorithm researchers who want to help define the future of the field. Do you have deep technical expertise in quantum algorithms and applications, and a drive to push the boundaries of technology? If yes, we'd love to hear from you! What You'll Be Doing: Establish and lead technical collaborations with supercomputing centers (SCCs) on hybrid quantum-classical application development across multiple industry verticals. Lead research pathfinding in AI for quantum algorithms. Lead all aspects of and drive the execution of technical results for projects in collaboration with our strategic partnerships, including SCCs, leading QPU builders, and needle-moving researchers, ensuring alignment with strategic objectives and customer success. Contribute to NVIDIA's revenue stream through strategic technical engagement and the development of innovative solutions that support customer adoption and long-term partnerships. Publish impactful research works and represent NVIDIA at relevant scientific, technical, and industry conferences. What We Need To See: Ph .D. in Quantum Computing, Physics, Computer Science, or a related field (or equivalent experience). Over 9 years of experience working on Quantum Algorithms and Applications. Demonstrated leadership in technical collaborations with industry partners. Excellent programming skills in Python, C++, and a parallel programming model (e.g., CUDA). World-class communication and interpersonal skills with a proven ability to articulate a value proposition to technical and non-technical audiences. A track record of research excellence demonstrated in publications and presentations at leading conferences. Ways To Stand Out From The Crowd: Recognized thought-leadership in the cross section of quantum applied research and high-performance computing. Experience with the NVIDIA Quantum platform (cu Quantum or CUDA-Q)! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 299,000 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 31, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

About the Role We're looking for a Research Scientist with deep expertise in training and fine-tuning large Vision-Language and Language Models (VLMs / LLMs) for downstream multimodal tasks. You'll help push the next frontier of models that reason across vision, language, and 3D, bridging research breakthroughs with scalable engineering. What You'll Do Design and fine-tune large-scale VLMs / LLMs - and hybrid architectures - for tasks such as visual reasoning, retrieval, 3D understanding, and embodied interaction. Build robust, efficient training and evaluation pipelines (data curation, distributed training, mixed precision, scalable fine-tuning). Conduct in-depth analysis of model performance: ablations, bias / robustness checks, and generalisation studies. Collaborate across research, engineering, and 3D / graphics teams to bring models from prototype to production. Publish impactful research and help establish best practices for multimodal model adaptation. What You Bring PhD (or equivalent experience) in Machine Learning, Computer Vision, NLP, Robotics, or Computer Graphics. Proven track record in fine-tuning or training large-scale VLMs / LLMs for real-world downstream tasks. Strong engineering mindset - you can design, debug, and scale training systems end-to-end. Deep understanding of multimodal alignment and representation learning (vision-language fusion, CLIP-style pre-training, retrieval-augmented generation). Familiarity with recent trends, including video-language and long-context VLMs, spatio-temporal grounding, agentic multimodal reasoning, and Mixture-of-Experts (MoE) fine-tuning. Awareness of 3D-aware multimodal models - using NeRFs, Gaussian splatting, or differentiable renderers for grounded reasoning and 3D scene understanding. Hands-on experience with PyTorch / DeepSpeed / Ray and distributed or mixed-precision training. Excellent communication skills and a collaborative mindset. Bonus / Preferred Experience integrating 3D and graphics pipelines into training workflows (e.g., mesh or point-cloud encoding, differentiable rendering, 3D VLMs). Research or implementation experience with vision-language-action models, world-model-style architectures, or multimodal agents that perceive and act. Familiarity with efficient adaptation methods - LoRA, adapters, QLoRA, parameter-efficient finetuning, and distillation for edge deployment. Knowledge of video and 4D generation trends, latent diffusion / rectified flow methods, or multimodal retrieval and reasoning pipelines. Background in GPU optimisation, quantisation, or model compression for real-time inference. Open-source or publication track record in top-tier ML / CV / NLP venues. Equal Employment Opportunity: We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

You are an ML Researcher who has a broad view of the generative media space and an update-to-date awareness of new methods in the space. You can spot products and features that are missing in the current market and work backwards to develop new methods to solve customers problems. Sometimes your work will require entirely novel training or architecture developments. While other times it will require fine-tuning pre-existing models with novel datasets. You are able to consider the expected return on investment of different approaches, and more excited about using research to develop novel products, then research for research's sake. Tech: You will have access to our massive GPU cluster for training and inference Some core technologies we use include Python, torch, diffusers, and the fal Python SDK You'll work alongside a team dedicated to quickly iterating on and deploying new AI breakthroughs You have work published in ICCV, ICML, Neurips, CVPR What we offer at fal Interesting and challenging work Competitive salary and equity 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

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.

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

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

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

About Spotfire Spotfire is a business unit of Cloud Software Group, one of the largest enterprise software companies in the world. Spotfire empowers businesses to their digital destinations by interconnecting everything in real time and providing visual data science for everyone, from business users to data scientists. Our more than 10,000 customers include: Majority of the top 10 Energy companies in the world Majority of the top 10 Life Sciences companies in the world 7 of the world's top 10 Manufacturing companies Several other major companies in banking, retail, and airlines We're looking for people with a passion to make a big difference by doing the job they love - dynamic individuals willing to take the risks necessary to make big ideas come to life and who are comfortable collaborating in our creative, innovation-driven environment. Overview Our global Field R&D team is a central part of the company strategy. The team focuses on applied innovation, customer needs, and the community of data scientists. A portion of the team's creations will end up in our products to scale its impact. The team is responsible for enabling our client's competitiveness by improving ROI from their investment in Spotfire. Operating across several sectors, our Field R&D Data Scientists have helped improve the drilling operations of several energy companies, built solutions for reducing fraud in financial trading, worked with NASA medical teams, helped increase yields at some of the biggest semiconductor companies, and initiated changes in California traffic laws. We are looking for a Field R&D Lead Data Scientist with experience in industry verticals such as Energy, Manufacturing, or similar to join our team. The right candidate is seeking an opportunity to deliver hands-on prowess and thought leadership to grow our customer's analytical capabilities with Spotfire. You will join a team of highly collaborative individuals as a key team member and play a significant role in developing our capabilities. You will lead field-inspired R&D projects, represent the company at industry events and contribute to the active customer and partner community. You will participate in technical customer engagements by developing analytical deliverables using methods from exploratory analytics to machine learning, statistical modeling, and AI. You will see R&D projects through its inception, design, deployment, customer feedback, and publication. Responsibilities The position entails the following responsibilities: Delve deep into energy, manufacturing, or similar types of analytical and data science challenges. Engage with customers through presales support and post-sales success projects. Perform and guide R&D topics in the field of applied machine learning and AI. Example topics of research and projects include Large Language Models, digital twin, anomaly detection in time series, or mathematical modeling of manufacturing processes. Create re usable data models, workflows and test suites in order to streamline project delivery. Provide input into product management and engineering for the product roadmap. Innovate in the areas of application and deployment of machine learning. Tool Kit Development: create demos and templates with data science libraries. Technical marketing: create white papers, blogs and content for the Spotfire user community. Represent the team as a speaker or instructor in industry events and external conferences. Participate in technical customer engagements through understanding Spotfire use cases, providing guidance, and building prototypes. Collaborate with stakeholders on specific industry knowledge, analytics use cases and customer stories related to data science or machine learning in the Energy sector Required Qualifications 5+ years of experience in advanced data analytics and delivery of demonstrations, projects, engagements or deployed software applications. Experience with applying advanced analytics such as machine learning and optimization techniques to large, complex and disparate data sources. 5+ years of experience in applying analytics to industry verticals such as Energy, Manufacturing, or similar. Superior communication and storytelling skills with data. The ability to comfortably communicate with customers' senior industry personnel, provide compelling presentations and demonstrations of analytics software, and the business value of analytics projects demonstrating domain knowledge in a key Industry such as Manufacturing, Energy, Telecommunications, Financial Services, Healthcare, or Retail. Capability to formulate a real-world problem into a mathematical equivalent, propose various solutions, compare and contrast them, deploy the solution, validate the results, and present the results to technical and non-technical stakeholders. 5+ years of experience with Python or R and some knowledge of SQL. Some experience with other software environments e.g. Spotfire, Tableau, Qlikview, SPSS, KNIME, Azure, AWS and/or other data mining tools will be a plus. Excellent communication and collaboration skills, with the ability to work effectively in a team environment and communicate technical concepts to non-technical stakeholders Strong problem-solving skills, with the ability to identify key areas for improvement and develop data-driven solutions to address them. A Master's or higher degree in STEM (Computer Science, Statistics, Data Science, Engineering, Science, or related analytical field of study) with graduate classes in statistics and data mining. Desired Qualifications Experience with other software components for data preparation and integration e.g. Data Virtualization and Big Data tools such as Snowflake or Databricks and/or further programming or scripting environments e.g. .Net, Java, IronPython, Javascript, C++ is a plus. A PhD in STEM (Computer Science, Statistics, Data Science, Engineering, Science, or related analytical field of study) with graduate classes in statistics and data mining. Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance. Benefits may vary depending on the nature of your employment with Cloud Software Group and the country where you work. U.S. based employees are typically offered access to healthcare, life insurance and disability benefits, 401(k) plan and company match, among others. Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance. NY generally ranges: $172,114-$258,172 CA generally ranges: $179,598-$269,396 All other locations fall under our General State range: $149,665-$224,497 Benefits may vary depending on the nature of your employment with Cloud Software Group and the country where you work. U.S. based employees are typically offered access to healthcare, life insurance and disability benefits, 401(k) plan and company match, among others. This requisition has no specific deadline for completion. About Us: Cloud Software Group is one of the world's largest cloud solution providers, serving more than 100 million users around the globe. When you join Cloud Software Group, you are making a difference for real people, each of whom count on our suite of cloud-based products to get work done - from anywhere. Members of our team will tell you that we value passion for technology and the courage to take risks. Everyone is empowered to learn, dream, and build the future of work. We are on the brink of another Cambrian leap -- a moment of immense evolution and growth. And we need your expertise and experience to do it. Now is the perfect time to move your skills to the cloud. Cloud Software Group is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination. All qualified applicants will receive consideration for employment without regard to age, race, color, creed, sex or gender, sexual orientation, gender identity, gender expression, ethnicity, national origin, ancestry, citizenship, religion, genetic carrier status, disability, pregnancy, childbirth or related medical conditions (including lactation status), marital status, military service, protected veteran status, political activity or affiliation, taking or requesting statutorily protected leave and other protected classifications. If you need a reasonable accommodation due to a disability during any part of the application process, please contact us via the Bridge portal for assistance.

Trafilea is a Consumer Tech Platform for Transformative Brand Growth. We're building the AI Growth Engine that powers the next generation of consumer brands. With over $1B+ in cumulative revenue, 12M+ customers, and 500+ talents across 19 countries, we combine technology, growth marketing, and operational excellence to scale purpose-driven, digitally native brands. We own and operate our own digitally native brands (not an agency), with presence in Walmart, Nordstrom, and Amazon, and a strong global D2C footprint. Why Trafilea We're a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast. 🚀 We build and scale our own brands. 🦾 We invest in AI and automation like few others in eCom. 📈 We test fast, grow fast, and help you do the same. 🤝 Be part of a dynamic, diverse, and talented global team. 🌍 100% Remote, USD competitive salary, paid time off, and more. Job Responsibilities We're looking for a creative and results-oriented Growth Product Lead to design and deliver hands-on, value-driven experiences that customers engage with on a recurring basis. Our Subscriptions Tribe is responsible for scaling programs like Shapermint Club, Autoship, ShaperBox, and Credits into sustainable, high-performing initiatives that drive recurring revenue, increase order share, and maximize customer lifetime value. As Product Lead - Subscriptions & Loyalty, you will partner closely with Product Manager Camila Rodríguez and the Subscriptions Tribe to execute initiatives that strengthen retention, optimize subscription funnels, and deliver measurable improvements in churn, repurchase rate, and LTV. Own subscription growth experiments across Club, Autoship, Shaperbox, and Credits, turning hypotheses into MVPs and quick-win pilots. Map and optimize subscription journeys (onboarding, renewal, cancellation) to reduce friction and improve retention. Execute data-driven initiatives with clear KPIs (churn, RR45D, LTV uplift) and share insights through dashboards and reports. Collaborate daily with Product, Marketing, CX, BI, and Tech to align on roadmap priorities and manage dependencies. Design bold retention mechanics and personalization flows based on customer feedback, cohort analysis, and behavioral signals. Drive influencer/ambassador-style engagement by ensuring community-driven and loyalty mechanics connect with customer needs. Run agile practices (sprints, stand-ups, retros) to keep squads accountable and reduce operational load for Tribe leadership. Prioritize and scale successful pilots into playbooks for global markets (US, CA, UK, AU), fueling recurring revenue growth. Job requirements 2-4 years of experience in Growth/Product, ideally in e-commerce or SaaS. Strong growth-marketing mindset: designs hypotheses, tests quickly, iterates weekly. Fluent in cohort analysis, dashboards, churn, and retention metrics. Execution-driven: hands-on with no-code pilots, flow-building, and CRM triggers. Strong collaboration in cross-functional squads. Clear communication: async documentation and storytelling with data. Exposure to subscriptions or loyalty; deeper technical/financial skills to be built on the job. Basic agile methodology knowledge with willingness to own squad leadership practices. All done! Your application has been successfully submitted! Other jobs

Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers' toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: *************************************************************************************** applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Description: AI Scientist - Modern AI Applications 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers' toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you. The Impact You'll Make in this Role As a Principal AI Scientist with deep expertise in Agentic AI, Generative AI, and Natural Language Understanding (NLU), you will lead high-impact technical innovation in HIS applications. In this role, you will be a hands-on research and development leader - driving technical breakthroughs, designing novel AI architectures, and directly influencing the integration of advanced AI into mission-critical healthcare products. You will collaborate closely with other scientists, engineers, and domain experts to create solutions that are explainable, reliable, and transformative for healthcare operations. Key Responsibilities Research & Innovation Design, prototype, and evaluate novel AI models for autonomous, agent-based systems in healthcare workflows. Advance state-of-the-art NLU for clinical, operational, and administrative healthcare text. Explore and implement new capabilities in reasoning, decision-making, and multi-modal understanding. Healthcare-Focused AI Development Adapt and fine-tune large language models to handle healthcare-specific language, regulatory requirements, and ethical considerations. Create AI pipelines that can process structured and unstructured healthcare data (FHIR, HL7, clinical notes, claims data). Contribute to domain-specific model architectures that improve clinical decision-making, revenue cycle management, and patient engagement. Technical Leadership Serve as the primary technical authority on Agentic and Generative AI within project teams. Mentor junior AI scientists and engineers through code reviews, research guidance, and technical workshops. Drive internal knowledge-sharing on emerging AI trends, frameworks, and best practices. Operational & Compliance Excellence Implement rigorous model evaluation frameworks for accuracy, robustness, and fairness. Ensure compliance with healthcare privacy and data security regulations (HIPAA, HITRUST). Partner with engineering to move research prototypes into production environments. Required Qualifications Master's in Computer Science, AI, Machine Learning, or related field AND 5+ years of experience in AI/ML, with a strong portfolio of deployed models. Or PhD in Computer Science, AI, Machine Learning, or related field AND 3+ years of experience in AI/ML, with a strong portfolio of deployed models. Experience in Python, R, and modern ML libraries. Experience with GenAI, LLMs, and transformer architectures. Experience with AI development tools and frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, RAG systems). Preferred Skills Multi-modal AI research experience (text, image, structured data). Knowledge graph integration and symbolic reasoning expertise. Proven ability to take AI research from concept to production. Hands-on experience with autonomous AI agents and reasoning systems. Strong track record applying AI to healthcare or life sciences use cases. Familiarity with cloud platforms (AWS) and MLOps practices. Work location: US Remote Travel: May include up to 10% domestic Relocation Assistance: Is not authorized Must be legally authorized to work in the country of employment without sponsorship for employment visa status (e.g., H1B status). Supporting Your Well-being Solventum offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope. Onboarding Requirement: To improve the onboarding experience, you will have an opportunity to meet with your manager and other new employees as part of the Solventum new employee orientation. As a result, new employees hired for this position will be required to travel to a designated company location for on-site onboarding during their initial days of employment. Travel arrangements and related expenses will be coordinated and paid for by the company in accordance with its travel policy. Applies to new hires with a start date of October 1st 2025 or later.Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties. Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers. Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain *****************. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains. Please note, Solventum does not expect candidates in this position to perform work in the unincorporated areas of Los Angeles County.Solventum is an equal opportunity employer. Solventum will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. Solventum Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms.

Job Title:Associate Principal Data Scientist (Remote) Requisition ID:R025545Job Description:Your Role Within Our KingdomWe 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 ThrillsMinimum 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.

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.

Seeking a Fishery Restoration Scientist to support NOAA Fisheries in executing analytical, technical, and field-related tasks across multiple habitat conservation and environmental review programs. This position will work closely with the NOAA Project Lead (PL) to evaluate project impacts, conduct habitat analyses, support regulatory reviews, and develop high-quality technical deliverables. The work will be performed in a fully remote capacity, with only a limited possibility of occasional travel within the east coast regions of Florida, South Carolina, North Carolina, or Georgia. The task includes the following: * Review study objectives developed by the Southeast Region and project partners, identify optimal field study locations, manage partner-provided datasets, develop associated metadata, and recommend practicable refinements to future field efforts. Deliver short technical reports and data files and incorporate all NOAA PL comments into final documentation. * Analyze project-specific data to evaluate compliance with hydropower facility license conditions, with particular attention to fish passage and flow prescriptions. Deliver concise written reports for each facility and revise final documentation in response to NOAA PL comments. * Assess effects to Essential Fish Habitat (EFH) and evaluate proposed mitigative measures for offshore wind energy projects using data provided. Prepare short written reports and develop briefing materials suitable for NOAA senior leadership summarizing project objectives, expected impacts, benefits, and anticipated schedules. Address all NOAA PL comments in final deliverables. * Review dredging operation data and coral condition information for the Port Everglades and Port Miami project areas. Evaluate potential effects to coral habitat, recommend mitigation measures to offset expected impacts, and deliver a written report containing habitat characterizations and supporting GIS files with appropriate metadata and Google Earth files. Address all NOAA PL comments in final documentation. * Conduct EFH, Fish and Wildlife Coordination Act (FWCA), and Fish and Wildlife Planning Assistance (FPA) analyses for proposed construction and restoration projects. Maintain a current understanding of diadromous, estuarine, and reef fish habitats, key environmental pressures, and conservation partnerships across Southeast U.S. watersheds. Use GIS to prepare maps and manage spatial data for analysis, and produce written reports and briefing materials with complete responses to NOAA PL comments. * Submit electronic monthly progress reports that clearly correlate cost, level of effort, activity descriptions, and accomplishments for the reporting period. Requirements * Knowledge of fish and habitat ecology, environmental conservation principles, and habitat impact assessment methodologies. * Experience conducting data analysis, preparing technical summaries, and managing fisheries or environmental datasets. * Experience using GIS software for spatial analysis, map production, and metadata development. * Familiarity with EFH assessments, environmental review processes, and habitat-based conservation strategies within marine or estuarine systems. * Ability to write clear, concise technical reports and prepare briefing materials for senior decision-makers. * Strong proficiency with common software including word processing, spreadsheets, statistical tools, data management applications, and the entire Google suite. * Ability to collaborate with partners, manage multiple ongoing tasks, and respond to technical comments with accuracy and completeness. * Must be a US Citizen or Permanent Resident who has lived in the United States at least 3 of the last 5 years and must be able to pass a background investigation to obtain a security badge to access applicable government systems. Work Location This position is fully remote in support of NOAA Fisheries. Education Bachelor's degree in Biology, Marine Science, Ecology, Environmental Science, or a related discipline, plus three years of experience in fish biology, marine biology, oceanography, or a closely related field. Salary The salary range for this role is $46,000 - 221,000/year. This range is a good faith estimate based on similar roles across the organization. ERT considers several factors when extending an offer of employment, including the location, scope, and associated responsibilities of the specific position, as well as a candidate's work experience, education/training, and key skills. Benefits All full-time employees are eligible to participate in our flexible benefits package, which includes: * Medical, Rx, Dental, and Vision Insurance * 401(k) retirement plan with company-matching * 11 Paid Federal Government Holidays * Paid Time Off (PTO) * Basic Life & Supplemental Life * Health Savings Account, Flexible Spending and Dependent Care Flexible Spending Accounts * Short-Term & Long-Term Disability * Employee assistance program (EAP) * Tuition Reimbursement, Personal Development & Learning Opportunities * Skills Development & Certifications * Professional Membership Reimbursement * Employee Referral Program * Competitive compensation plan * Discretionary variable incentive bonuses based on factors such as individual performance, business unit performance, and/or the company's performance * Publication and Conference Presentation Awards with bonuses ERT is a VEVRAA Federal Contractor and Equal Opportunity employer - All qualified applicants will be considered for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status. #LI-Remote

About KariusKarius is a life science, venture-backed clinical metagenomics company, focused on elevating patient care through microbial insights. We are committed to advancing diagnostic science and technology to optimize the diagnosis and treatment of infectious diseases. Through the use of genomics and AI, we are driven to improve the diagnostic landscape for infectious diseases. Karius delivers unprecedented diagnostic insight detecting microbial cell-free DNA circulating in the body to assist physicians to make rapid treatment decisions. Why Should You Join Us?Karius' core mission is to conquer infectious diseases through innovations around genomic sequencing and machine learning. The company's platform is already delivering unprecedented insight into the microbial landscape, providing clinicians with a comprehensive test capable of identifying more than a thousand pathogens directly from blood. Through this journey, we realized that the microbial cell-free DNA platform may hold value that goes well beyond the direct diagnosis of infections. You, as part of the Karius team, will be able to see the immense opportunity to expand the human knowledge around this emerging topic and apply it directly to critical problems in human health and disease. Position SummaryYou are highly curious and creative and desire to continuously grow and improve in your goal to make an impact on patients. You will be a key member of the Assay Development Analytics (ADA) team that helps drive the computational aspects of assay development, focusing on analysis and optimization of new chemistries and lab techniques. You will participate in experimental design, conduct thoughtful computational analyses by determining the analysis plan and executing it using the necessary tools and methodologies. You will work closely with colleagues in Molecular Biology to understand and deliver on our shared goals. You are a self-starter and always like to find ways to make things better. Reports to: Sr. Manager, Bioinformatics Location: Redwood City, CA or hybrid or remote Primary Responsibilities• Individual contributor to Assay Development Analytics (ADA), which drives the computational aspects of assay development, focusing on analysis and optimization of new chemistries and lab techniques.• Participate in experimental design, conduct computational analyses, understand rationale, set the analysis plan, and execute using the necessary tools and methodologies to deliver innovative assays.• Work closely with colleagues across the Molecular Biology and Laboratory Operations teams to understand the properties of the assays and ways to improve our technologies.• Continue to grow and learn in the necessary mathematical, technological, and software aspects of the field through internal knowledge acquisition and staying current with the latest relevant literature.• Open to exploring multiple approaches for problem-solving and modeling including borrowing across a wide range of quantitative disciplines.• Ensure high standards of data integrity, quality control, and validation, while maintaining rigorous quality documentation and dissemination of scientific findings.• Provide clear visibility into areas of ownership and communicate weekly progress and results to stakeholders.• Continue to grow and learn in the necessary biological/scientific domains and technological aspects of the field through novel knowledge acquisition but also staying current with the latest relevant literature.• Share a passion for ensuring the quality of our statistical analysis, via reliability, reproducibility, and rigor. What's Fun About the Job?Karius is operating at the edge of what is now known to be possible in infectious disease diagnostics. With that, comes a wave of new and incredible challenges and opportunities. To deliver on that value, you will be tapping into some of the most advanced technologies, architecting and innovating where the current solutions simply don't suffice. You will get to see how much your work really matters. Travel: Travel to HQ on a quarterly basis if remote. Physical RequirementsSubject to extended periods of sitting and/or standing, vision to monitor, and moderate noise levels. Work is performed in an office environment. Position Requirements• Ph.D. in computer science, statistics, mathematics, physics, genetics, bioinformatics, metagenomics, or related fields (preferably with a focus on computational biology or machine learning) with 3+ years of postdoctoral and/or industry experience; OR Master's degree with 5+ years of directly relevant industry experience.• Publications demonstrating innovative investigation and interpretation of biological data. • Proven proficiency, and understanding of, modern statistics and machine learning.• Proven proficiency with high-dimensional, large-scale datasets characterized by low signal-to-noise.• Demonstrated excellence in communication and collaboration within cross-functional, multidisciplinary teams.• Self-starter with the ability to independently drive results and influence project direction.• Evidence of innovation in connecting biological insights to complex mechanisms of microbiome and host-environment interactions.• Familiarity with a range of relevant laboratory techniques (either through hands-on work or from collaborations with laboratory-focused colleagues).• Familiarity and experience with bioinformatics tools, approaches, and workflows, particularly those related to next-generation sequencing data analysis.• Familiarity with design of experiments (DOE) approaches to optimize process settings. Personal Qualifications• Passionate, purpose-driven, and excited about Karius' mission: to conquer infectious diseases through innovations around genomic sequencing and machine learning.• Excellence at communication and collaboration within a cross-functional team.• Detail oriented with exceptional organizational and time management skills.• Self-starting mentality and ability to drive results.• Comfortable working in an environment which combines both research aspects as well as development.• Ability to work effectively and efficiently in a fast-paced (startup) environment. DisclaimerThe above is intended to describe the general nature and level of work being performed by individuals assigned to this position. It is not intended to be an exhaustive list of all duties, responsibilities, and skills required. Responsibilities and duties may change or be adjusted to meet the needs of the company, and additional duties may be assigned as necessary. The job description is subject to change at any time at the discretion of Karius. Equal Opportunity EmployerAt Karius, we value a diverse and inclusive workplace and provide equal employment opportunities for all applicants and employees and are committed to honor and invest in the full diversity of people, in our hiring, recruiting and development of employees across the Company. All qualified applicants for employment are encouraged to apply and will be considered without regard to an individual's race, color, sex, gender identity and gender expression (including transgender individuals who are transitioning, have transitioned, or are perceived to be transitioning to the gender with which they identify), religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you are unable to submit your application due to a disability, please contact us at *********************** and we will accommodate qualified individuals with disabilities.

Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team. Want to learn more about life at Egen? Check out these resources in addition to the job description. Meet EgenLife at EgenCulture and Values at EgenCareer Development at EgenBenefits at Egen About the opportunity: In this role, you'll join our growing team focused on building Generative AI applications for document summarization, classification, and question and answer using unstructured and structured data. This team works with companies of all sizes, from startups to Fortune 100, that are leaders in their fields, pushing the limits of possible. You will develop applications on Google Cloud, work with customers to understand their requirements, suggest new ideas and features to the team, improve the product further, and implement the new functionalities with a passion for quality. You will implement best practices and state-of-the-art techniques for AI and LLMs and work on research, experimentation, and implementation of novel methods.Qualifications: Required hands-on experience designing and implementing applications using Large Language Models (LLM). More specifically: Python programming. Google Gemini, OpenAI GPT, LLaMA, or similar models. LangChain, LlamaIndex, or similar frameworks. Advanced prompt engineering. Retrieval Augmented Generation (RAG). Vector databases (GCP Vector Search, ChromaDB, Pinecone, pgvector, or similar). The ideal candidate will also have experience in one or more of the following:Bachelor's or Master's degree in Computer Science, Engineering, or related field. LLM model fine-tuning. Embedding model fine tuning. Shell scripting. Google Cloud Vertex AI (AutoML, AI APIs, etc.). Classic Machine Learning (ML frameworks, neural net models development, training, tuning, serving). MLOps (ideally on GCP). Data Engineering (including SQL). Personal Attributes: Strong ethics. Strong technical aptitude. Engineering mindset/developer background. Strong sense of ownership and teamwork. Curious, always learning to get better. Enjoys working with clients. Excellent communication skills. Compensation & Benefits: This role is eligible for our competitive salary and comprehensive benefits package to support your well-being:- Comprehensive Health Insurance- Paid Leave (Vacation/PTO)- Paid Holidays- Sick Leave- Parental Leave - Bereavement Leave- 401 (k) Employer Match- Employee Referral Bonuses Check out our complete list of benefits here - >******************************** Important: All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks. EEO and Accommodations: Egen is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Egen will also consider qualified applications with criminal histories, consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

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 .