Director of cell biology jobs near me - 175 jobs

Working/Functional Title Ast/Asc/Full Prof. TS - Cancer Stem Cell Biology The Precision Health Program (PHP) at Michigan State University is accepting applications for a Tenure System faculty position, rank of Assistant / Associate / Full Professor commensurate with experience and qualifications. Led by Dr. Anna Moore, Associate Dean for the College of Human Medicine, PHP is a newly established university-wide vigorous program currently consisting of five laboratories conducting independent research in the areas of cancer, diabetes, cardiovascular diseases and nanobiotechnologies (********************************* The Program occupies the second floor of the Interdisciplinary Sciences and Technology Building, constructed by the university in September of 2019. The successful candidates will be highly motivated and innovative scientists with a Ph.D. in biomedical sciences, 8-10 years of research experience and a track record of excellence in of cancer stem cell biology research, including familiarity with research applications of in vivo imaging and direct experience with cancer stem cell biology. PHP Faculty are responsible for establishing their labs with sustainable research programs, participating in collaborative research, making significant scholarly contributions to their respective disciplines, obtaining extramural funding, and engaging in institutional and professional service and education. Compensation and Benefits Faculty at MSU enjoy competitive benefits, development, recognition, and retirement options, details of each area available at this site - MSU Faculty and Academic Staff. Benefits include health, dental, and life insurance coverage options, as well as employer paid long-term disability coverage. Retirement plans include a 2 to 1 employer match for an employee contribution of 5% to the 403(b) Base plan, a 403(b) supplemental plan and 457(b) deferred compensation plan are also available. Base salary for this position starts at $100,000 and is negotiable, based on experience and qualifications. Additionally, a generous start-up package will be offered. 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 -Biomedical Sciences Minimum Requirements PhD in a Biomedical Science field with 8-10 years of research experience relevant to cancer stem cell biology, in vitro and in vivo applications, experiment design and execution, and data analysis. Desired Qualifications Hands-on experience with cancer stem cells, analytical assays, testing and imaging. Required Application Materials CV Cover Letter Name and contact information for (3) references. The search committee will not contact references without first notifying the candidate Review of Applications Begins On 02/03/2025 Summary of Health Risks Exposure to human blood, serum, tissue, and other body fluids; and materials covered under Universal Precautions. Work with animals or unfixed animal tissue 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 RADIOLOGY.MSU.EDU Department Statement Michigan State University Department of Radiology strives to become a nationally and internationally acclaimed department by providing access to the highest quality medical care in our patient-centered environment, training future generations of highly skilled and compassionate physicians, advancing medical knowledge through state-of-the-art research, while meeting the wellness needs of our population through community outreach. 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.

Working/Functional Title Ast/Asc/Full Prof. TS - Cancer Stem Cell Biology The Precision Health Program (PHP) at Michigan State University is accepting applications for a Tenure System faculty position, rank of Assistant / Associate / Full Professor commensurate with experience and qualifications. Led by Dr. Anna Moore, Associate Dean for the College of Human Medicine, PHP is a newly established university-wide vigorous program currently consisting of five laboratories conducting independent research in the areas of cancer, diabetes, cardiovascular diseases and nanobiotechnologies (https://precisionhealth.msu.edu). The Program occupies the second floor of the Interdisciplinary Sciences and Technology Building, constructed by the university in September of 2019. The successful candidates will be highly motivated and innovative scientists with a Ph.D. in biomedical sciences, 8-10 years of research experience and a track record of excellence in of cancer stem cell biology research, including familiarity with research applications of in vivo imaging and direct experience with cancer stem cell biology. PHP Faculty are responsible for establishing their labs with sustainable research programs, participating in collaborative research, making significant scholarly contributions to their respective disciplines, obtaining extramural funding, and engaging in institutional and professional service and education. Compensation and Benefits Faculty at MSU enjoy competitive benefits, development, recognition, and retirement options, details of each area available at this site - MSU Faculty and Academic Staff. Benefits include health, dental, and life insurance coverage options, as well as employer paid long-term disability coverage. Retirement plans include a 2 to 1 employer match for an employee contribution of 5% to the 403(b) Base plan, a 403(b) supplemental plan and 457(b) deferred compensation plan are also available. Base salary for this position starts at $100,000 and is negotiable, based on experience and qualifications. Additionally, a generous start-up package will be offered. 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 -Biomedical Sciences Minimum Requirements PhD in a Biomedical Science field with 8-10 years of research experience relevant to cancer stem cell biology, in vitro and in vivo applications, experiment design and execution, and data analysis. Desired Qualifications Hands-on experience with cancer stem cells, analytical assays, testing and imaging. Required Application Materials CV Cover Letter Name and contact information for (3) references. The search committee will not contact references without first notifying the candidate Review of Applications Begins On 02/03/2025 Summary of Health Risks Exposure to human blood, serum, tissue, and other body fluids; and materials covered under Universal Precautions. Work with animals or unfixed animal tissue 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 RADIOLOGY.MSU.EDU Department Statement Michigan State University Department of Radiology strives to become a nationally and internationally acclaimed department by providing access to the highest quality medical care in our patient-centered environment, training future generations of highly skilled and compassionate physicians, advancing medical knowledge through state-of-the-art research, while meeting the wellness needs of our population through community outreach. 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.

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 #LI-Remote Benefits Medical, Dental & Vision - Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan. Paid Parental Leave - Generous paid leave to support families through birth or adoption: Up to 12 weeks for parents. Remote-First Team - Work from anywhere in the U.S. Unlimited PTO & 10 Holidays - So you can relax and recharge. 401(k) with Traditional & Roth Options - Tax-advantaged retirement savings through Fidelity with a 4% match. 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.

Job Description Radiopharmaceutical Imaging and Dosimetry, LLC (Rapid) is a precision medicine company founded in 2016 out of Johns Hopkins University. We develop advanced software and services to support imaging and dosimetry of radiopharmaceutical therapy (RPT)-a transformative approach to cancer care that delivers targeted radiation to tumors with unprecedented accuracy. Our mission is to make cancer curable by enabling simplified, accurate, and standardized dosimetry-empowering clinicians to deliver individualized, evidence-based radiation doses for every patient. Rapid is a fully remote, mission-driven company with a diverse and growing team dedicated to driving innovation at the intersection of medical imaging, dosimetry, and software development. Position: Research Scientist - Radiopharmaceutical Imaging and Dosimetry We are seeking a Research Scientist to lead and contribute to the development of new technologies and methodologies that advance the clinical use of RPT. This role involves applied research, algorithm development, and collaborative innovation across imaging physics, dosimetry, and software tools. This is an outstanding opportunity to work at the forefront of a rapidly evolving field alongside a passionate team committed to changing the standard of cancer care.Responsibilities Lead and support projects developing and validating quantitative SPECT methods using data from conventional and novel scanner geometries Develop and validate algorithms for image- and organ-based radiation dose calculation Lead and support projects applying artificial intelligence to image reconstruction and dosimetry Collaborate with software engineers, clinicians, and external research partners to implement the algorithms and methods in products and services Contribute to scientific publications, white papers, and conference presentations Participate in the preparation of documentation for clinical validation and regulatory filings Stay informed on emerging trends and literature in the field Required Qualifications PhD or MS in Medical Physics, Biomedical Engineering, Nuclear Medicine, or a related field Hands-on experience with quantitative imaging, radiopharmaceutical therapy, or internal dosimetry Proficiency in scientific programming (e.g., Python, C) and data analysis Strong foundation in medical imaging modalities (e.g., SPECT, PET, CT) Self-driven, well-organized, and effective at remote collaboration Excellent written and verbal communication skills Preferred Qualifications Familiarity with clinical workflows and imaging protocols in nuclear medicine Publication record in nuclear medicine image reconstruction, AI, dosimetry, or RPT Experience contributing to regulated medical device development (e.g., FDA submissions) Why Join Rapid? ✅ 100% remote - work from anywhere ✅ Make a real impact in cancer treatment innovation ✅ Collaborative, highly skilled, and mission-oriented team ✅ Flexible hours and dynamic projects ✅ Competitive salary and benefits package Powered by JazzHR Hif6EIqMM3

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.

AssemblyAI builds the best-in-class Speech AI models powering the next generation of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences-from voice agents and meeting assistants to contact centers and medical scribes. Companies like Zoom, Granola, Fireflies, Cluely, and Calabrio rely on AssemblyAI to ship production-ready voice AI. We're at an inflection point in Speech AI. We released Universal-Streaming in mid-2025, and it has quickly earned its place as the model offering the best accuracy-latency-cost tradeoff on the market. The adoption has been significant: we now process ~1.5M streaming hours per week, with 25x usage growth in the last six months alone. Our research team drives these advances and ships with relentless velocity. Since releasing Universal-Streaming, we've already launched keyterms prompting feature and multilingual support-with more significant improvements on the roadmap. We've raised $115M+ from Accel, Insight Partners, Y Combinator's AI Fund, Patrick and John Collison, Nat Friedman, and Daniel Gross. We're a remote team building one of the next great AI companies-and we're looking for researchers who will shape its future. About the Role We are seeking a highly capable Senior Researcher to push the boundaries of streaming speech recognition and speech understanding. This role sits at the intersection of cutting-edge research and production impact-you'll develop novel architectures and algorithms that ship to millions of users. The ideal candidate has deep expertise in both automatic speech recognition (ASR) and large language models, with strong foundations in streaming/online inference, neural transducers (RNN-T, CTC), and modern attention-based architectures. You're equally comfortable reading papers on speech language models and debugging distributed training runs. This is a unique opportunity to shape the next generation of Speech AI at a company experiencing rapid growth in one of the most dynamic fields in AI. You'll join the team developing Universal-Streaming-our production streaming ASR system-while exploring the frontier of LLM-based contextualization and real-time speech understanding. You'll work closely with research engineers and engineers to drive your research from prototype to production, ensuring novel ideas translate into real customer impact. What You'll Do Design and develop novel streaming ASR architectures, pushing the boundaries of accuracy-latency tradeoffs in production systems. Research and prototype LLM-assisted speech-to-text -exploring how large language models can enhance streaming speech recognition and understanding. Develop new algorithms for streaming speaker diarization, contextual biasing, and multilingual speech recognition. Drive research from initial experimentation through rigorous evaluation to production deployment, working closely with engineering teams. Conduct systematic experiments on internal and public benchmarks, with careful attention to evaluation methodology and statistical rigor. Contribute to technical publications and represent AssemblyAI's research at top venues. Collaborate on research direction and technical strategy, helping shape the roadmap for Speech AI capabilities. What You'll Need Strong research background in speech recognition, with deep understanding of classic streaming architectures (RNN-T, CTC) and modern attention mechanisms. Expertise in LLMs and language modeling, with ability to bridge speech and language model research. Proficiency in PyTorch and JAX/Flax-you can move fluidly between frameworks and implement complex architectures from scratch. Experience with large-scale distributed training and the practical challenges of scaling speech models. Track record of publications at top venues (ICASSP, Interspeech, NeurIPS, ICML) or equivalent industry impact. Strong experimental methodology-systematic approach to ablations, careful baseline comparisons, and rigorous evaluation. Ability to translate research insights into production-ready solutions; comfort working at the interface of research and engineering. Excellent communication skills-can articulate complex technical ideas clearly and collaborate effectively across teams. Pay Transparency: AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on paying competitively for our size, stage, and industry, and are one part of many compensation, benefit, and other reward opportunities we provide. There are many factors that go into salary determinations, including relevant experience, skill level, qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. The provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range which will be communicated to candidates throughout the interview process. Salary range: $210,000 - $309,000 The expected base compensation for this role is listed above. Our total compensation package includes competitive equity grants, 100% employer-paid benefits, and the flexibility of being fully remote. 401k match up to 4% for US-based full time team members. Working at AssemblyAI We are a small but mighty group of startup veterans and experienced AI researchers with over 20 years of expertise in Machine Learning, Speech Recognition, and NLP. As a fully remote team, we're looking for people to join our team who are ambitious, curious, and lead with integrity. We're still in the early days of AI and of AssemblyAI's journey, and are looking for teammates who won't just fit in, but will help us define and build our company culture. We're committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. No matter your race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply! Using AI to Interview: If you're selected for an interview, please review this resource to better understand how AssemblyAI approaches the use of AI in our interview process. GDPR privacy notice: Candidates from the EU should review this job applicant privacy notice before applying. Keep Exploring AssemblyAI: Check us out on YouTube! Learn more about our Speech AI models Speech-to-Text | Streaming Speech-to-Text | Speech Understanding Try our Playground

NORC at the University of Chicago is seeking a qualified Research Scientist to support the Health Care Research Department in our Chicago Loop office. This position is responsible for providing direction and task leadership in all aspects of project work, including, but not limited to Medicare and/or Medicaid data, and which could include analytic approach, questionnaire design, data collection strategy, acquisition of existing data, data analysis, and/or preparing study conclusions for projects. NORC recognizes that talented and skilled researchers live throughout the U.S. and actively supports remote work arrangements. As a condition of employment, all NORC employees and contractors - including those working remotely - must be fully vaccinated (as defined by current CDC guidance) against COVID-19. DEPARTMENT: Health Care Programs and Evaluation NORC's expertise and ongoing work in health care delivery and financing - including access to insurance, payment and delivery-system reform, benefit design, and quality measurement - advance stakeholders' understanding of policies and programs, facilitate implementation, and contribute to important improvements in cost and quality. NORC's expert staff has extensive knowledge of all aspects of health care delivery, from private marketplaces and employer-sponsored insurance to Medicare and Medicaid; from large health care systems to small clinics; and from the needs of children to those of older adults, people with disabilities, and ethnic and racial minorities. Our expert team includes social scientists that acquire, collect, and analyze data from health care organizations and patients; evaluators; health services researchers; health-policy analysts; and professionals with first-hand experience running and supporting health care programs. NORC's Health Care staff work closely with colleagues in Health Sciences and Public Health to offer program, policy, and research solutions. Our work is guided by a commitment to long-lasting partnerships, transparency, and high-quality, nonpartisan research that improves health and health care for all people. RESPONSIBILITIES: Serve as task leader on complex scientific and or technical components of large projects, or a series of smaller projects, as part of a multidisciplinary team. Contribute substantively to planning discussions around the collaborative design of quantitative and qualitative research studies, evaluations, and analyses. Develop structured interview protocols and content; and lead or co-lead stakeholder interviews. Assist with the management and oversight of project-specific budgets and contracts. Work closely with project leadership and clients to ensure that we meet contractual requirements (deliverables and timelines) and client expectations using the highest standards of quality and collegiality, and within budget parameters. Author sections of analysis reports, technical reports, and other documented deliverables that are due to the client as described in project statements of work. Co-author and present research at client and professional meetings and participate in in-person briefings of project findings. Contribute to the development of abstracts and articles for publication in refereed journals. As part of the larger proposal team, and with guidance from departmental leadership Independently draft and manage contract proposals and grant applications, communicating effectively with proposal team members, within and across departments, with clients, consultants, and members of the policy and research community. Supervise and mentor junior staff, as relevant to experience, and tasks Perform other duties as assigned within the department to contribute to the growth and to ensure the well-being of its members. REQUIRED SKILLS: Master's Degree or Bachelor's Degree in public policy or related fields (training in an array of social science disciplines will be considered). PhD preferred. At least 7 years' experience in positions of increasing responsibility in evaluation research, policy analysis, survey research or related field (or equivalent education) including at least 3 years of social science project management. Knowledge of the Medicare and/or Medicaid programs, including delivery system reform, provider payment, access to care, and beneficiary experience. Familiarity with Medicare, Medicaid, and/or commercial claims data is a plus Experience working for the federal government or a federal contractor, ideally with work focusing on the Medicare and/or Medicaid program. Experience with conducting policy analysis in a government or professional services environment. Experience with and knowledge of the principles of quantitative and qualitative research design, data collection, and data analysis. Experience with estimating project and proposal costs and managing project budgets. Excellent oral and written communication skills and aptitude in working with project teams, leading tasks, and coordinating across multiple projects (including those run by others within NORC). WHAT WE DO: NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge. WHO WE ARE: For over 75 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale. EEO STATEMENT: NORC is an affirmative action, equal opportunity employer that values and actively seeks diversity in the workforce. NORC evaluates qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity, and other legally- protected characteristics. #LI-MS1

Reality Labs at Meta is seeking Research Scientists with experience in product-focused machine learning and signal processing research to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. We're building a practical interface drawing on the rich neuromotor signals that can be measured non-invasively via surface electromyography (EMG) with single motor neuron resolution. This technology could become one of the main pillars for interaction with virtual and augmented worlds.We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals, developing novel signal processing and machine learning methods to infer a user's intent, and creating novel interaction techniques and user experiences. Help us unleash human potential by removing the bottlenecks between user intent and action. **Required Skills:** Research Scientist - CTRL Labs Responsibilities: 1. Research and develop Deep Learning or other computational models 2. Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets 3. Set technical direction for a project of 2-3 researchers and engineers 4. Help transition and deliver our work from research into product 5. Adapt standard machine learning methods to best leverage modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Ph.D. degree in Computer Science and Engineering, Electrical Engineering, Statistics/Mathematics 8. Experience with developing machine learning models at scale from inception to business impact 9. Programming experience in Python and hands-on experience with frameworks such as PyTorch 10. Exposure to architectural patterns of large scale software applications 11. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 12. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, and ICASSP) 13. Experience bringing machine learning-based products from research to production **Public Compensation:** $184,000/year to $257,000/year + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

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.

In the Predictive Analytics AI group, we build data-driven, highly distributed machine learning systems. Our engineers and researchers are responsible for architecting and developing these ML services end-to-end overcoming unique challenges that involve building systems that have high throughput availability, consistency, and low latency. The Predictive Analytics AI Group is the central group in Moody's Analytics comprising of researchers and engineers working together to build data-driven customer-facing products, as well as the necessary infrastructure to support the ML services following the industry leading practices. The group has worked on and built some award-winning AI products like Compliance Catalyst, Adverse Media Monitoring, Coronapulse, Quiqspread, News Edge 2.0, ESG and has participated in various internal automation initiatives. The group also regularly publish and present their work in top-tier academic and industry conferences. We have a flexible work environment and allow remote work depending on one's personal choice. Broadly, we are looking for colleagues who are passionate about: Natural language processing Information retrieval Information extraction Graph Neural Networks Recommender systems Knowledge graphs Explainable AI We'll trust you to: Collaborate with colleagues on production systems and applications Design, experiment, and evaluate algorithms as well as models using PyTorch, scikit-learn, Tensorflow, HuggingFace Work on POCs and research prototypes Provide thought leadership in machine learning Represent Moody's Analytics at scientific and industry conferences Lead collaboration with colleagues and academia to publish research findings in leading academic venues such as ACL, EMNLP, NAACL-HLT, AAAI, KDD, CIKM, SIGIR, ECIR You'll need to have: Ph.D. in CS, ML, Math, Statistics, Engineering, Quant, or relevant industry experience. Publication record in top-tier academic conferences and journals Proficiency in modern programming languages such as Python Proficiency in leading research projects Nice to have: Experience with MLOPs technologies and workflows Experience in working with engineering teams on taking research prototypes to production

SCM is committed to a workplace that values and promotes diversity, inclusion and equal employment opportunity by ensuring that all employees are valued, heard, engaged and involved at work and have full opportunities to collaborate, contribute and grow professionally. We are currently seeking a highly driven, well organized, and motivated candidate to join our team. SCM offers the opportunity to work in person, remotely or in a hybrid work environment. Primary Responsibilities: Design, research and evaluate new systematic trading strategies in the futures markets. Continuously evaluate and improve existing strategies. Continuously evaluate and improve existing processes (research tech stack, codebase, data sources, modeling techniques, etc.). Requirements: 5+ years of experience in one or more of the following: high frequency trading, systematic trading or quantitative research. Experience utilizing statistical modeling techniques to develop systematic trading models. Strong interest in financial markets. Exceptional economic intuition. Excellent communication skills. Meticulous attention to detail. Practical business orientation. Degree(s) in statistics, mathematics, computer science or other technical disciplines. The base pay for this position is anticipated to be between $150,000 and $300,000 per year. The anticipated annual base pay range is current as of the time this job post was generated. This position is eligible for other forms of compensation and benefits, such as a bonus, health and dental plans and 401(k) contributions, which includes a discretionary profit sharing program. An employee's bonus and related compensation benefits can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.

ISEE is seeking full-time Research Scientists to join our team. The ideal candidate has several years of research/work experience. Role responsibilities include:- Leading research contributing to the development of humanistic AI for autonomous systems- Conducting research in the areas of: Robotics, Artificial Intelligence, Machine Learning, Perception, Modeling, Simulation, Applied Mathematics, Probabilistic Modeling and Inference or related areas- Collaborating with engineering and business teams to develop novel solutions to real-world problems- Designing experiments and metrics for benchmarking results Publishing research in top-tier conferences and journals Qualifications:- PhD in Robotics, Computer Science, Electrical Engineering, Aerospace Engineering, Mechanical Engineering, Control Engineering, Machine Learning, Statistics, or a related field- Passionate about self-driving vehicles and real-world robotics solutions.- Experience collecting, processing, and analyzing real-world data.- Strong presentation and communication skills. Recommended- Publication record in top-tier conferences in Robotics and related fields.- Programming experience, ideally with Python and/or C++.- Robotics experience is a plus.

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 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.

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

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.

Spotify has more than 600M listeners in more than 180 markets around the world, who use our music, podcast, and audiobook services to find what delights, entertains, educates, and informs them. Personalization is a high impact organization that provides the technology to serve them what they expect to find, to help them explore and find new things to enjoy, and to suggest things they might not be aware of that they would like. We are looking for a Research Scientist with a machine learning background to help us improve personalization experiences by integrating and optimizing state-of-the-art generative AI technologies into our recommender systems. You will join a team of machine learning researchers whose focus is on innovating the Spotify experience through researching and developing technologies that power intelligent user experiences for long-term satisfaction. You will be part of an interdisciplinary team focusing on ensuring that the foundations of Spotify technologies are at or above the state of the art and, in the process, redefine the state of the art for the field and contributing to the wider research community by publishing papers. Our team has strong ties internally to product groups as well as externally to the research community.What You'll Do Participate in groundbreaking research in artificial intelligence and machine learning with a focus on large-scale solutions to optimize recommender systems. Apply your scientific knowledge to analyze and collect data, perform analyses, conduct experiments and identify problems, as well as devise solutions through hands-on development. Work on practical applications such as recommendations and scalable evaluations. Work in collaboration with other scientists, engineers, product managers, designers, user researchers, and analysts across Spotify to design creative solutions to challenging problems. You'll have product impact, while working on and further developing a long-term research roadmap. You will maintain a research profile through external engagement such as publishing, giving talks, and being an active community member at top conferences. Who You Are You have a Masters or PhD in machine learning, data science, or related areas or are enrolled in an advanced degree program. Demonstrated expertise in machine learning and artificial intelligence through peer-reviewed publications at conferences (such as NeurIPS, KDD, RecSys or related) A solid understanding or past research experience on recommender systems and ability to optimize Generative AI models for new targets, rewards or multiple objectives. Solid hands-on skills in implementing advanced algorithms, as well as sourcing, cleaning, analyzing and modeling of large-scale real data. You're a creative problem-solver who is passionate about digging into complex problems and devising new approaches to reach results. Where You'll Be This role is based in New York City. We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. The United States base range for this position is $133,195 - $190,278 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, a monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service.

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 .

Career CategoryResearchJob DescriptionJoin Amgen's Mission of Serving Patients At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do. Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Senior Scientist - Research Computational Biology (ARIA) What you will do Let's do this. The ARIA Computational Biology team is seeking a talented and creative computational biologist to further our mission of serving patients by advancing and replenishing the Amgen therapeutic pipeline. In this role you will apply your expertise in data science and disease biology to accelerate the identification, prioritization, and validation of transformative therapeutic targets in a dynamic cross-functional research environment. Focus areas include: Extracting biological insight from complex multi-modal omics and screening data to characterize disease endotypes and mechanisms, identify novel targets and biomarkers, and test therapeutic hypotheses. Developing and leveraging methods/platforms to discover, prioritize, and validate targets across diverse diseases and therapeutic modalities Innovative research in close partnership with Amgen therapeutic area scientists, spanning both internal pipeline programs and external partnerships. Partnering with our data science and information systems teams to incorporate tools and analyses developed within ARIA Computational Biology into integrated R&D platforms. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a computational biologist with these qualifications. Basic Qualifications: Doctorate in computational biology, bioinformatics, data science, or a related discipline [and relevant post-doc where applicable] Or Master's degree and 3 years of relevant research experience Or Bachelor's degree and 5 years of relevant research experience Preferred Qualifications: Strong programming skills (Python, R, Linux/Unix), familiarity with cloud computing environments, HPC, and collaborative coding practices (e.g., Git). Track record of designing and implementing creative and holistic computational strategies to address challenging research questions. Demonstrated expertise in the analysis and interpretation of single cell omics data. Excellent presentation and communication skills to convey complex findings to diverse audiences. Self-starter with a collaborative mentality and a drive for continuous growth. Strong background in cardiometabolic disease and/or immunology, including application to the interpretation of single-cell data. Experience leveraging and fine-tuning transcriptional foundation models, LLMs, and biomedical knowledge graphs to further research goals. Familiarity with public data resources (e.g. DepMap, Human Cell Atlas, TCGA, GTEx, and Tahoe-100M) frequently used to augment analyses of internally generated data. Experience developing and deploying tools and pipelines to endpoints such as interactive portals (e.g. RShiny apps), workflow management systems (e.g Nextflow), and agentic frameworks. What you can expect from us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way. The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan Stock-based long-term incentives Award-winning time-off plans Flexible work models, including remote and hybrid work arrangements, where possible Apply now and make a lasting impact with the Amgen team. careers.amgen.com In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Application deadline Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position. As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. . Salary Range 132,494.00 USD - 163,875.00 USD