Postdoctoral associate jobs near me - 247 jobs

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

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

Company Credit Genie is a mobile-first financial wellness platform designed to help individuals take control of their financial future. We leverage artificial intelligence to provide personalized insights and are building a financial ecosystem by offering tools and services that provide instant access to cash, and building credit. Our goal is to empower every customer to achieve long-term financial stability. Founded in 2019 by Ed Harycki, former Swift Capital Founder (acquired by PayPal in 2017). Backed by Khosla Ventures and led by industry pioneers from companies such as; PayPal, Square, and Cash App, we are well positioned to build the future of inclusive finance through cutting-edge technology and customer-centric solutions. Overview Come join our AI/ML and Data Science community at Credit Genie! We are seeking a ML Scientist technical leader with a solid background in Machine Learning and the consumer risk domain, who is excited about solving challenging Machine Learning and Data Science problems and driving results while maintaining the highest bar for methodological rigor. In this role, you will have an opportunity to design and implement our company's next generation of Risk models that will have a vast impact across underwriting, fraud prevention and collections. These models are central to our business and have a direct impact on our customers every day. You will also design, execute, and evaluate new data acquisition processes as well as A/B tests and other experiments. What You'll Do * Set the company's Risk Machine Learning roadmap in collaboration with our cross functional partners * Own the end-to-end design and development of ML solutions that power our products' risk decisioning, driving both optimized risk outcomes and an exceptional customer experience * Work with a growing team of AI/ML experts on the design and implementation of new Risk ML and feature engineering infrastructure * Partner cross-functionally with Product, Analytics, Engineering, and business teams to generate actionable insights and build data-driven models that drive business impact * Set and maintain the highest methodological standards for Data Science across the company * Solve problems that have no clear existing solution and directly impact our customers Requirements * A Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field; an advanced degree is preferred * 8+ years of hands-on experience in machine learning, data science, or advanced analytics * Deep understanding of machine learning algorithms, statistical modeling, and data analysis techniques * Strong problem-solving abilities, attention to detail, and a data-driven mindset * Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical audiences * Proficiency in Python and common ML/data libraries (NumPy, pandas, scikit-learn, XGBoost, etc.) * Experience with SQL and data platforms such as Snowflake, Databricks, and Tableau Benefits and Perks Our goal is to provide a comprehensive offering of benefits and perks that promote better financial, mental, and physical wellness. We believe working alongside each other in person is the best way to build a great product and foster a strong company culture. Our expectation is that employees are in the office five days a week, allowing for optimal collaboration, inclusivity, and productivity. At the same time, we understand that life happens and recognize the importance of flexibility. We are committed to supporting our employees when circumstances arise that require remote work or adjusted schedules. Our goal is to ensure everyone can effectively balance personal and professional responsibilities while maintaining our collaborative and productive environment. Here are some highlights of our benefits and perks offerings, feel free to ask your recruiting partner for more details on our comprehensive offering for employees. * 100% company-paid medical, dental, and vision coverage for you and your dependents on your first day of employment. * Monthly fitness reimbursement up to $100 or a full membership to LifeTime Fitness * 401(k) with a 3.5% match and immediate vesting * Meal program for breakfast, lunch, and dinner * Life and accidental insurance * Flexible PTO Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total compensation and rewards package at Credit Genie. You may also be eligible to participate in the bonus and equity programs. You will also have access to comprehensive medical, vision, and dental coverage, a 401(k) retirement plan with company match, short & long term disability insurance, life insurance, and flexible PTO along with many other benefits and perks. Credit Genie is a proud Equal Opportunity Employer where we welcome and celebrate differences. We are committed to providing a workspace that is safe and inclusive, where everyone feels supported, connected, and inspired to do their best work. If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview.

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

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

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

About The Role We're looking for exceptional talent with proven experience in Technical Research or R&D at leading technology or tech-adjacent companies. Your background should demonstrate a track record of tackling complex challenges in tech-driven environments, with particular expertise in navigating the rapidly evolving AI landscape. You value learning, growth, and community, and are passionate about developing and coaching people in their field. As a Mento coach, you will form 1:1 partnerships with our members to help them identify & track clear goals, become a better leader, communicate more effectively, problem-solve issues at work, and help them feel happy, fulfilled, and engaged at work and beyond. All Mento coaches, regardless of coaching experience, are required to participate in our ICF-certified coach training program to learn Mento's coaching methodology prior to working with our members. Our coach training is an immersive, transformational training designed to help you grow as a coach, master the Mento Coaching Methodology, and gain access to proprietary tools that set our coaches apart. This program is ICF-certified, and participants who successfully graduate will earn Continuing Coach Education Units. If you're ready to elevate your coaching skills, deepen your impact, and become part of a groundbreaking coaching team, we encourage you to apply and take the next step in your journey! Your routine responsibilities will include: Providing 1:1 coaching to Mento members through virtual sessions using the Mento Platform and Tools Participating in ongoing training sessions to improve coaching abilities and skills Communicating with members via your Mento email or via chat in the Mento App in between sessions Being an integral member of the Mento coaching community by sharing coaching tools and insights - helping enhance our coaching practices and fulfill our mission of empowering people to thrive in jobs that they love Acting with kindness, respect, and empathy as an ambassador of the Mento community Who are you? You are… A director, vice president, or other senior research leader 15+ years experience leading technical research teams either at or adjacent to the technology industry. You are a leader with relevant experience coaching individuals (coaching certification is a plus but not required). Someone who wants to turn their people leadership skills into meaningful coaching skills. Passionate about helping people advance in the workplace to build fulfilling careers and lives. A person who is self-aware, who has a high emotional IQ, and who cares about creating a safe space for others to risk being vulnerable. Excited about growing your coaching skills, and you bring a growth-mindset to the experience, regardless of how long you have been a coach. Comfortable working in a constantly-changing startup environment. Able to dedicate a minimum of 12+ hours per month to coaching at Mento for the next 24+ months. At Mento, we invite new coaches to join us on a rolling basis. The time frame on which we add new coaches is based on the particular needs of our clients and their teams. While we may not need to add a Legal/GC Coach today, we would still be very excited for you to get in touch with us now if this opportunity resonates with you. Other details This is a contract position in which coaches are paid per hour. On top of a flat hourly rate, we offer select bonuses that incentivizes engagement with our membership and community growth on our platform You must have the capacity to give a minimum of three to five hours per week towards Mento regardless of other commitments and how they may change. You are able to work with Mento for a minimum of 24 months in order to build meaningful relationships with our members. This is a fully remote position. Candidates must be based in North America or Europe. Because this is a part-time growth opportunity, we are looking to hire experienced senior leaders who want to expand their coaching skills. Our Hiring Philosophy: All new Mento coaches are required to participate and graduate from our ICF certified coach training program: Mento Coaching 101. This training is rigorous, and our goal is that all participants are able to be matched with members soon after they complete it. We want to make sure that we are both setting our coaches up for success and respecting everyone's time. Therefore, we hire based on incoming member demand. While we are constantly looking and interviewing for the best coaches to join our team, we will only send offers to candidates for whom we have an immediate need. Candidates who receive a YES from Mento after the interview process will either be sent an offer to join the next monthly Coaching 101 training or be added to our coach shortlist to join us when the demand is there. Inclusion Statement: We are proud to foster a workplace free from discrimination. Research shows that candidates from underrepresented backgrounds may not apply to jobs unless they meet 100% of the job requirements. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users. We encourage you to apply even if you do not meet all the requirements.

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

Working/Functional Title Postdoctoral Researcher - Pokharel Lab The Department of Forestry at Michigan State University (MSU), in collaboration with US Forest Service, Forest Products Laboratory (FPL), is seeking an outstanding Research Associate (Postdoctoral Researcher) to lead and work on a research project focused on estimating the potential avoided greenhouse gas (GHG) emissions from historical use of both wood in construction sector and use of woody biomass in the energy sector in the United States. The successful candidate is expected to author/co‐author publications based on new and secondary data and assist in managing the project (including supervision of undergraduate assistants and overseeing data collection and analysis). The position holds the potential for extending research in new directions and to collaboratively pursue additional research funding. The position also holds the potential to increase the candidate's professional network and work closely with the MSU and FPL. MSU's strengths in human dimensions and forest economics and FPL provide a collaborative environment that supports success. The position will begin as a one‐year appointment with available extensions, depending on continued funding availability. The position will be based at Michigan State University in East Lansing, MI, USA. MSU strives to provide a flexible work environment and this position has been designated as remote-friendly. Some or all the duties can be performed remotely as mutually agreed upon. Some opportunity for travel may be available. The candidate will work closely with project PIs and a team of scientists at FPL and MSU. Desired start date is early in 2026, but a later start may be possible. ABD candidates expected to graduate in May 2026 will be considered. Questions about the position should be directed to Dr. Prakash Nepal at FPL (prakash.nepal@usda.gov) or to Dr. Raju Pokharel (raju2020@msu.edu). Equal Employment Opportunity Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status. Required Degree Doctorate -Forestry, Nat. Resources, Env Sci Minimum Requirements The successful candidate will have an earned PhD in Forestry, Natural Resources, Environmental Sciences, Economics, Engineering or a related discipline; and strong skills in written and verbal communication. Desired Qualifications The ideal candidate for this position will have experience with life cycle analysis (LCA) research and ability to interpret and use data and results from published LCA literature in estimating avoided emissions resulting from wood use in construction and woody biomass use in generating energy. They will also have documented ability to bring projects to completion (publication record, both academic and outreach), evidence of effective independent and collaborative work, and project management experience. Required Application Materials Upload the following required documents: 1) a short letter of interest detailing qualifications for the position and research interests (no more than two pages), 2) curriculum vitae, 3) a writing sample (preferably a journal article or dissertation chapter), and 4) a list of three professional references with contact information (institution, email address, phone number). Special Instructions Incomplete applications will not be considered. Review of Applications Begins On 01/05/2026 Remote Work Statement MSU strives to provide a flexible work environment and this position has been designated as remote-friendly. Remote-friendly means some or all of the duties can be performed remotely as mutually agreed upon. Website FOR.MSU.EDU Department Statement At MSU Forestry, our mission is to generate and translate knowledge of trees, forests and associated natural and human systems to advance sustainable solutions for people and ecosystems. We create the future of sustainable forestry through innovative research, learning and outreach. We value the uniqueness that every person adds. Faculty and staff are committed to fostering open dialogue and supportive communication. We agree with and support College and University initiatives that are designed to create a community committed to culture, access and belonging. MSU Statement Michigan State University has been advancing the common good with uncommon will for more than 160 years. One of the top research universities in the world, MSU pushes the boundaries of discovery and forges enduring partnerships to solve the most pressing global challenges while providing life-changing opportunities to a diverse and inclusive academic community through more than 200 programs of study in 17 degree-granting colleges.

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

General Postdoctoral Researcher - $90/hr Remote - Alignerr - Location: RemoteAbout the job At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.Organization: Alignerr Position: General Postdoctoral Researcher (Masters/PhDs) Type: Hourly Contract Compensation: $75-$90 /hour Location: Remote Commitment: 10-40 hours/week Role Responsibilities (Training support will be provided)- Develop, solve, and review advanced problems across various academic and professional domains with real-world relevance. - Apply high-level research expertise to design complex problem statements that challenge and improve AI reasoning. - Collaborate asynchronously with AI researchers and domain experts to enhance AI model performance. - Ensure academic rigor, clarity, and depth across all deliverables.Requirements- Master's or PhD in a STEM or highly technical field from a top U.S. university (or equivalent). - Strong track record of research, publications, or complex project management. - Exceptional written and verbal communication skills with strong attention to detail. - Fluent in English and currently based in the U.S., Canada, New Zealand, U.K., or Australia.Preferred:- Prior experience with data annotation, data quality, or evaluation systems- Experience coding in Python, R, or other research-oriented languages. Application Process (Takes 15-20 min)- Submit your resume - Complete a short screening - Project matching and onboarding PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Organizational Unit: The USF Health College of Nursing is one of 14 colleges at the University of South Florida and one of four that make up USF Health. As a member of the prestigious Association of American Universities, USF is designated by the Carnegie Foundation as both a Research 1 and a Community-Engaged institution- reflecting its commitment to excellence in education, research, and service. Nationally recognized as a leader in nursing education and research, the College of Nursing serves more than 2,000 undergraduate, master's, and doctoral students each year. For the fourth consecutive year, our Master of Science in Nursing (MSN) program has been ranked No. 1 among Florida's public universities by U.S. News & World Report-rising to No. 23 in the nation in 2025. As an integral part of USF Health, the College of Nursing is guided by a mission grounded in excellence, innovation, and respect. We are dedicated to educating future nurses, advancing nursing science, and applying evidence-based practice to improve health outcomes and community well-being. Description: The College of Nursing at the University of South Florida (USF) enthusiastically invites applicants for a Postdoctoral Research Associate position. Successful applicants will be outstanding scholars from diverse backgrounds who desire a career in academic public health, with a focus on chronic disease prevention and management in clinic- and community-based settings, and whose work aligns with improving health outcomes, community-based participatory research, and stakeholder engagement to tailor evidence-based interventions in diverse settings. The position is full-time and benefits-eligible. The selected scholar will be involved in robust mentoring and work closely with an interdisciplinary faculty in the College of Nursing. The Scholar will have access to institutional and college resources, guidance from faculty mentors and access to workshops and seminars that foster research excellence. Additionally, the college offers career development opportunities, pilot grant awards, and networking opportunities. Application Instructions: 1. A cover letter addressing interest in the position. USF is committed to building a culturally diverse educational environment. Applicant's cover letter must explain how they will further this goal. The letter also should address the applicant's research interests within and outside of USF. 2. A curriculum vitae (CV). 3. A recent, scholarly writing sample (e.g., dissertation chapter, published peer-reviewed article on which you are the sole or primary author). 4. Three reference letters (letters may be uploaded as attachments to your application or may be emailed to Ranjita Misra (******************** ). Doctoral degree from an accredited institution and appropriate experience and training within a selected area of specialization. Must meet university criteria for appointment to the rank of Postdoctoral Fellow. The successful candidate must have completed PhD or equivalent in public health or related areas, a focus on chronic diseases and/or behavioral interventions, ability to work independently as well as work with a multidisciplinary team, excellent oral and written communication skills, interpersonal skills and experience with statistical and data management software, within the past 5 years - no earlier than August 15, 2020, and no later than August 15, 2025. The primary expectations for the Postdoctoral Scholar will be to collaborate on efforts to improve chronic disease prevention and management in community-based intervention studies and work closely with the primary mentor Dr. Ranjita Misra in the College of Nursing. Her research is focused on improving health outcomes related to diabetes, hypertension and cardiovascular diseases, planning and stakeholder engagement to tailor evidence-based interventions using community-based participatory approach in public health. The researcher will work primarily on chronic disease prevention and management, joining a multidisciplinary team of collaborators spanning expertise in chronic disease epidemiology, biostatistics, lifestyle medicine, mental health, and clinical biomarkers. Under the guidance of the faculty member, the successful applicant will apply their expertise to the design, implementation, analysis, interpretation, and reporting of intervention data to support both clinic- and community based clinical and randomized control trials. Pending successful completion of the hiring process and appropriate background checks, the researcher will be given the opportunity to collaborate on a wide range of projects depending on their expertise and interest. Potential projects include leveraging available datasets to evaluate local, state and national-level behavioral, psychosocial and clinical biomarkers, with particular attention to prevention and chronic disease self-care and patient-provider communications. Methodologically, projects are anticipated to benefit from novel approaches to identification, triangulation, or experimental designs.

This role is for one of our clients We are seeking STEM PhD experts to contribute to a pioneering AI research initiative focused on building agentic workflows - structured processes that capture expert reasoning and problem-solving approaches. These workflows will help design, evaluate, and enhance next-generation AI systems. Requirements Key Responsibilities: Translate your domain expertise into clear, structured instructions (SOPs, rubrics, evaluation criteria). Create realistic tasks and scenarios reflecting day-to-day professional activities in STEM fields. Collaborate with other experts to refine and validate workflows for clarity, accuracy, and reproducibility. Work with AI researchers and engineers to ensure workflows are operationalized into agent environments. Identify opportunities where AI can augment or replicate expert decision-making within your discipline. Qualifications: PhD (or equivalent advanced degree) in a STEM discipline (Chemistry, Physics, Biology, Mathematics, Engineering, or related fields). Strong ability to explain complex processes in a structured, step-by-step manner. Experience in research, teaching, or technical writing is a plus. Enthusiasm for bridging academic expertise with AI development. Opportunity Details: Time commitment: ~10 hours/week for 3 weeks Fully remote with flexible scheduling Option to extend engagement as project needs evolve Compensation & Contract Terms: Competitive hourly compensation (exact rates confirmed during onboarding) Payments for services rendered via Stripe Connect Engagement structured as an independent contractor role

We're Cleerly - a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. About the Team You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly's regulated products. Responsibilities Research and develop state-of-the-art AI and non-AI algorithms for coronary CT imaging applications. Translate product and clinical requirements into algorithmic specifications in collaboration with Product and Clinical teams. Partner with Regulatory Affairs to support regulatory submissions (e.g., 510(k), De Novo,PCCP), including generating evidence and documentation. Collaborate with engineering teams to deploy AI and non-AI based solutions in clinical practice. Communicate findings and strategy to internal stakeholders and leadership through clear technical documentation, presentations, and demos. Contribute to intellectual property development through patents and scientific publications. Mentor junior scientists and foster a culture of technical excellence and scientific rigor. Requirements Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field, with 5+ years combined postdoc and/or industry experience; OR an M.S. with 8+ years of relevant experience. R&D experience in medical image processing, demonstrating subject matter expertise in deep learning methods for image quality enhancements, optical flow analysis and CT harmonization. Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis). Strong experience in Python, Tensorflow and pytorch. Prior experience with ITK, OpenCV, VTK. Excellent interpersonal, cross-functional, and cross-cultural collaboration skills. This role will require travel for up to 25% of the time, often for 3 weeks at a time Preferred qualifications 5+ years of industry experience in AI-based medical device development or clinical deployment. Experience supporting FDA regulatory submissions for ML-based software, including familiarity with De Novo, 510(k), and PCCP pathways. Deep domain knowledge in cardiovascular imaging and CT interpretation workflows. TTC*: $265k - $305k *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.). Each role at Cleerly has a defined salary range based on market data and company stage. We typically hire at the lower to mid-point of the range, with the top end reserved for internal growth and exceptional performance. Actual pay depends on factors like experience, technical depth, geographic location, and alignment with internal peers. Working at Cleerly takes HEART. Discover our Core Values: H: Humility- be a servant leader E: Excellence- deliver world-changing results A: Accountability- do what you say; expect the same from others R: Remarkable- inspire & innovate with impact T: Teamwork- together we win Don't meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company. OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. By submitting your application, you agree to receive SMS messages from Cleerly recruiters throughout the interview process. Message frequency may vary. Message and data rates may apply. You can STOP messaging by sending STOP and get more help by sending HELP. For more information see our Privacy Policy (****************************************** All official emails will come *********************** email accounts. #Cleerly

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.

About the Opportunity Northeastern University in Boston, Massachusetts is seeking to hire a postdoctoral research associate with strong research interests and competency in investigating the social determinants of health with a focus on cognitive decline/dementia and an emphasis on the application of epidemiologic, econometric, and other methods to strengthen causal inference using multilevel, longitudinal data and quasi-experimental approaches, along with the exploration of gender, racial/ethnic and socioeconomic disparities. Qualifications: Applicants should have a doctoral degree in epidemiology, social and behavioral sciences, public health, health economics, or a related field, as well as strong communication and writing skills. Experience in advanced epidemiologic methods and/or econometric methods to strengthen causal inference is strongly preferred. The initial appointment is for a one-year period, with the possibility for renewal. The postdoctoral research associate will join an interdisciplinary team of researchers (including social epidemiologists, other epidemiologists and data scientists, and policy researchers) and will be involved in all aspects of the research process. Opportunities will include analyzing rich datasets for publications, developing and writing research proposals and publications, participating in academic mentorship of graduate students, dissemination of research findings at professional conferences, and career development resources through Northeastern University and the Greater Boston area. Opportunities may also exist for the research associate to coordinate one or more ongoing research projects and initiate independent research projects. In addition, the postdoctoral research associate will participate in project team meetings and other seminars and will be actively engaged in the progress of research. * This position is a fully remote opportunity and there will be no requirement of an on campus presence. Position Type Research Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit ************************************* for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. Compensation Grade/Pay Type: 108S Expected Hiring Range: $59,425.00 - $83,935.00 With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

The Role Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales - from molecules to organisms - enabling us to predict, understand, and program living systems in ways never before possible. Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator. As a Senior Computational Biologist, you'll work alongside members of our research team and our founders to develop AI systems capable of complex biological reasoning across multiple scales. You will develop machine learning methods to extend our predictive and generative platform You will design and execute computational pipelines to validate and prioritized de novo generated molecules using state of the art tools You will use your deep understanding of biology to design novel therapeutics for hard-to-target proteins with our generative models You will analyze and integrate large-scale biological datasets Your work will directly impact the development of our biologically-aware AI platform, transforming the landscape of medicine Make a real tangible impact on millions of lives by pushing the boundaries of AI in biology. Who We're Looking For You have a PhD in a biological field and strong programming skills in Python You have experience with computational biology tools such as structure prediction, molecular docking and virtual screening You have experience working with Protein or Chemical Language Models You like to work collaboratively in a fast-paced startup environment You are passionate about using data science to unlock the secrets of biology You exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and pride in solving them You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertainty You have excellent communication skills and can clearly articulate complex technical concepts You will be expected to travel periodically for in-person team meetings at our NYC HQ Bonus Points You have hands-on experience building AI/ML using PyTorch and Lightning You have experience with cloud computing platforms like AWS You have hands-on biology laboratory experience You have contributed to peer-reviewed publications in computational biology You have knowledge of machine learning techniques applied to biological data Our Values ❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions. 🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards. 🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community. 📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner. 🎮 Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling. What We Offer We encourage new and different ideas, creativity and contrarian thinking Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you You own your day-to-day management. What we care about is that we all hit our milestones Competitive salary and equity in a growing, well-funded startup Excellent medical, dental, and vision coverage

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

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 .