Contract scientist jobs near me - 233 jobs

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work - both in and out of the office. We are looking for a Research Scientist to join the Oura Health Science Team. Our mission is to position ŌURA as a cornerstone of next-generation health by accelerating high-quality research and clinical studies, R&D and science dissemination, and deepening our footprint in research and clinical ecosystems. Our responsibilities include designing rigorous clinical research studies, analyzing complex biobehavioral datasets, and generating evidence-based insights to advance science at Oura. Grounded in a deep understanding of the scientific foundations of health, disease, and physiological processes, we push the boundaries of research to uncover novel biomarkers and health insights. Our team ensures the scientific validity and clinical relevance of our products, playing a critical role in supporting product development, regulatory approval, and real-world applications. By collaborating with researchers, healthcare professionals, and industry partners, we bridge the gap between cutting-edge science and practical health solutions, enhancing the impact of wearable technology on global health and well-being. What you will do: Experimental Design: Lead the design of clinical research studies-including observational, prospective, retrospective, and interventional study types-ensuring conceptual integrity and methodological rigor in data collection and statistical analysis, and leading IRB preparation, submission, and oversight. Data Analysis & Interpretation: Analyze and interpret complex data from wearable devices to derive meaningful health insights, particularly in sleep & circadian, stress and activity, cardiometabolic health, and women's reproductive health. Scientific Dissemination: Contribute to research papers, patents, reports, and regulatory submissions while presenting findings at scientific conferences and engaging in knowledge translation. External Research Partnerships: Identify, establish, and manage collaborations with academic institutions, healthcare organizations, and industry partners to drive clinical research, validation studies, and innovation. Clinical Science Expertise: Provide critical clinical science expertise across company needs, supporting stakeholders in making evidence-based decisions. Cross-Functional Collaboration: Work closely with multidisciplinary teams to provide data-driven insights that support clinical research and product R&D. Industry & Scientific Awareness: Stay informed on the latest advancements in digital health, scientific literature, healthcare to drive evidence-based product development and innovation. Requirements We would love to have you on our team if you have: PhD in Relevant Fields: Doctorate in Psychology, Neuroscience, Behavioral or Health Sciences, Sleep and Circadian Biology, Exercise or Sport Science, Physiology, Cardiovascular or Metabolic Health, Endocrinology, Women's Health, or Digital Health, with a focus on areas such as sleep & circadian science, cardiometabolic health, sport medicine, stress, and women's health. Clinical Trial Experience: Experience leading the design, execution, and/or analysis of regulated clinical trials. Deep Scientific Research Skills & Publications: Proven track record of leading high-impact research in health sciences, demonstrating expertise in study design, IRB processes, data interpretation, and scientific dissemination. Passionate, Adaptable, and Self-Driven: Thrives in fast-paced environments, taking initiative and working autonomously while remaining flexible and solution-oriented in the face of evolving challenges. Desired experience Advanced Statistical Analysis and Programming: Proficient in Python, R, and/or SQL for data extraction, processing, statistical analysis, and visualization. Extensive experience analyzing large-scale time-series physiological, wearable, and/or biomedical data, integrating multimodal biobehavioral metrics to generate actionable insights. Regulatory Expertise: Understanding of clinical trial processes and regulatory requirements, such as FDA processes, ensuring compliance and effective study design and execution. Research & Development (R&D): Proven ability to translate scientific discoveries into practical applications, such as developing new methods, technologies, or innovations in health science. Industry-Academia Collaboration: Experience working in partnerships between industry and academia, fostering innovation and knowledge exchange. Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: Competitive salary and equity packages Health, dental, vision insurance, and mental health resources An Oura Ring of your own plus employee discounts for friends & family 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. Region 1 $151,300- $178,000 Region 2 $138,550- $163,000 Region 3 $127,500- $150,000 A recruiter can determine your zones/tiers based on your US location. We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), Vermont (VT), West Virginia (WV), and Wisconsin (WI) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We've been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: Our jobs are listed only on the ŌURA Careers page and trusted job boards. We will never ask for personal information like ID or payment for equipment upfront. Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

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.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. Find our AI notice here: ***********************************

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.

Labcorp Genetics (formerly Invitae) is dedicated to bringing comprehensive genetic information into mainstream medicine to improve healthcare for billions of people. Our team is driven to make a difference for the patients we serve. We are leading the transformation of the genetics industry, by making clinical-grade genetic information affordable and accessible to guide health decisions across all stages of life. The genomics insights team leverages clinical genomic expertise, our massive genetics, laboratory and linked public/private datasets, and the latest AI/ML technologies to improve diagnosis, clinical care, and treatment options. We design and develop robust, quantitative, and scalable systems for variant interpretation and disease insights. Our research findings are broadly disseminated to improve testing guidelines, optimize reimbursement rates, and educate the healthcare ecosystem. We are seeking a Lead R&D Data Scientist to join our team and contribute to these initiatives. Duties and Responsibilities: Lead and deliver the translation of complex biological and clinical questions into actionable analysis plans. Architect and implement robust data pipelines that integrate large-scale genomic, phenotypic, laboratory, and real-world clinical datasets. Conduct repeatable data analysis and modeling with a high degree of scientific and statistical rigor, for complex tasks such as understanding patient trajectories, elucidating variant effect, and identifying genotype-phenotype associations. Write clean, maintainable, and well-documented code following best practices for version control, testing, and scalability. Prepare technical reports, peer-reviewed publications, and conference presentations to share research outcomes with internal stakeholders and the broader scientific community. Collaborate closely with both internal and external stakeholders to drive impactful research and development initiatives. Ensure high standards of data privacy, security, and compliance are maintained in all projects. Qualifications: Masters degree, or equivalent industry experience in Computer Science, Statistics, Data Science, Computational Biology, or a related field. 5+ years of hands-on experience in data science and statistical methods, as applied to large biomedical datasets. Experience working within a collaborative technical team with strong software engineering practices. Proficiency in modern programming languages (Python and SQL), shell scripting, and version control (Git). Experience with data management, ETL, and business intelligence tools. Excellent communication skills for presenting research findings to diverse audiences. Preferred Qualifications: Ph.D Experience with big data technologies (Snowflake, Databricks, etc.) and visualization/dashboarding (Looker, Dash, etc.). Experience with high performance computing (SGE etc.). Experience in the development and validation of complex computational models for biological data, in particular machine learning and bioinformatics techniques. Understanding of data privacy, security, and ethical considerations in clinical and biological research. Previous published work in genetics, functional genomics, or clinical research. This position is not eligible for visa sponsorship. Application window closes: 02/14/2026 Pay Range: $100,000.00 - $155,000.00 a year Schedule/Shift: M-F, 8-5 EST All job offers will be based on a candidate's skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data. The position is also eligible for an annual bonus under the Labcorp Bonus Plan. Bonuses are payable based on corporate and/or business segment performance and are subject to individual performance modifiers. Compensation may also include discretionary short- and long-term incentive packages. Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. Employees who are regularly scheduled to work a 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information, please click here Labcorp is proud to be an Equal Opportunity Employer: Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. We encourage all to apply If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.

LLM - Applied AI Research Scientist Availability : A minimum of 4 hours of mandatory overlap with PST (12 PM-6 PM PST) Employment Type: Contractor assignment (no medical/paid leave) Contract Duration: Rate Range: Competitve, TBD Company Overview: Based in San Francisco, California, our client is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. they supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L Role Overview: We are seeking highly skilled Applied AI Research Scientists with deep expertise in Computer Engineering and hardware-centric systems with an MS or Ph.D. in a relevant technical field to design and execute expert-level evaluation tasks that probe the limits of state-of-the-art AI systems. In this role, you will create headroom-level, rigorously verifiable evaluation questions rooted in hardware, architecture, and low-level systems reasoning. Your work will focus on exposing model limitations in areas that require deep technical correctness, precise reasoning, and graduate-level understanding of computing systems-well beyond surface-level explanations. You will work closely with a collaborative, cross-functional team and are expected to be highly detail-oriented, reliable, and committed to accuracy and quality. Roles & Responsibilities: Design graduate- and research-level evaluation questions grounded in hardware and computer engineering domains. Create tasks that require precise, step-by-step technical reasoning with objectively verifiable ground-truth answers. Develop multimodal prompts, including accurate block diagrams, timing diagrams, microarchitecture diagrams, or circuit-level visuals when appropriate. Evaluate state-of-the-art AI models on hardware- and systems-heavy reasoning tasks and perform structured side-by-side comparisons. Identify and document model failure modes related to architectural correctness, performance reasoning, or low-level system behavior. Provide authoritative solutions and explanations for each evaluation task. Maintain detailed and accurate records of prompts, expected answers, and evaluation outcomes in shared tracking systems. Collaborate with reviewers and researchers to refine evaluation quali MS or Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, or a closely related field. Strong expertise in at least two of the below hardware- and systems-focused domains: Computer architecture (pipelines, memory hierarchies, cache coherence, ISA-level reasoning) Hardware systems and performance analysis VLSI design, digital logic, or ASIC/FPGA fundamentals Embedded systems and low-level firmware Operating systems (especially memory management, scheduling, and hardware-software interfaces) Compilers or systems programming with hardware awareness Proven experience in technical research, evaluation, or rigorous problem formulation in academic, lab, or production-oriented environments. Strong programming skills (especially Python, C or C++) for analysis, verification, and evaluation workflows. Excellent written communication skills and a strong attention to technical detail. Evaluation Process: Round 1: Take home assessment Offline assessment to be completed and submitted for review. Round 2: Delivery Interview (60 minutes) A combined technical and cultural discussion with the Delivery Team. Additional Information All your information will be kept confidential according to EEO guidelines.

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

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.

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.

AI Trainer - Research Scientists About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for people with Research Scientist experience to work as self-employed AI Trainers to help train and evaluate cutting-edge AI models from some of the world's biggest AI labs. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $50/hr subject to the length of tasks available. If successful, you must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll be doing in the role Completing AI training tasks such as analyzing, editing, and writing research-focused content Judging the performance of AI on research design, methodology, and scientific reasoning prompts Improving cutting-edge AI models using your experience in research and experimentation What you'll bring Experience working as a Research Scientist or in a closely related research role A strong understanding of scientific methodology, experimental design, and data analysis A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A Paypal account to receive payment from our clients* Why Prolific is a great platform to join as a Domain Expert participant Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation - one that reflects the breadth and the best of humanity. *Participants are self-employed and need to declare earnings to their respective tax authorities. Prolific has no liability for any tax obligations or reporting requirements resulting from compensation received through this platform. Each participant is solely responsible for compliance with applicable tax laws in their jurisdiction. Links to more information on Prolific Website Youtube Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.

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. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) 14. 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@meta.com.

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process. The Department of Radiology, University of Wisconsin - Madison, School of Medicine & Public Health is seeking a Scientist who will play a key role in developing and translating next generation radiomics (machine learning in radiology imaging) methods for projects ongoing in Dr. Pallavi Tiwari's lab. The research conducted by Tiwari lab utilizes medical imaging and clinical data to build and optimize AI and machine learning models that identify computerized image-based phenotypes, and their associations with genomics and histopathology for disease characterization, with the aim of developing personalized diagnostic tools towards improved early diagnosis, prognosis, and response to treatment for neurological conditions and other diseases. More information about our research and publications can be found at **************************** The Scientist will work on interdisciplinary and translational research in personalized diagnostics towards early diagnosis, prognosis, and response to treatment for brain tumors, neurological disorders, and other diseases (e.g., breast cancer, pancreatic cancer, liver disease). The Scientist will be responsible for identifying clinically translatable research problems relating to these diseases; developing research methodologies and experiments to identify and utilize radiomic, radio-genomic, and radio-pathomic phenotypes to better characterize these diseases (e.g., building a classifier to predict disease progression or the risk of developing advanced cancer); and training students. ADDITIONAL JOB DETAILS: This position may require some work to be performed in-person, onsite, at a designated campus work location. Some work may be performed remotely, at an offsite, non-campus work location. Multiple Titles: Scientist I, Scientist II, or Scientist III. Applicants for this position will be considered for the titles listed in this posting. The title is determined by the experience and qualifications of the finalist. Candidates who demonstrate the following knowledge, skills, and abilities will be given first consideration; Candidates should have demonstrated ability to work effectively in a collaborative manner with faculty and staff, as well as other institutional representatives; Strong organizational, written, and verbal communication skills; High levels of critical thinking, excellent technical skills, and a strong track-record of accomplishment and productivity in research as evidenced by high-quality publications related to medical imaging, oncology, and/or machine learning and artificial intelligence. Key Job Responsibilities: Writes or assists in developing grant applications and proposals to secure research funding Conducts literature reviews, prepares reports and materials, and disseminates information to appropriate entities Serves as a main point of contact and liaison with internal and external stakeholders providing information and representing the interests of a specialized research area Assists with the identification of research problems and the development of research methodologies and procedures Attends and assists with the facilitation of scholarly events and presentations in support of continued professional development and the dissemination of research information Collects and analyzes research data, conducts experiments and interviews, and documents results according to established policies and procedures under general supervision and limited responsibility Department: School of Medicine and Public Health, Department of Radiology, Tiwari Research Lab Join UW Radiology and UW Health-A Legacy of Innovation The University of Wisconsin Department of Radiology, in partnership with UW Health, has been at the forefront of clinical care, imaging research, and education for nearly a century. Since its inception on May 18, 1927-when Dr. Ernst Pohle was appointed as the first professor of Radiology, the department has grown to more than 160 faculty members across 14 specialized sections, serving as a key pillar of UW Health's world-class medical enterprise. What Sets Us Apart Collaborative Excellence: Strong partnerships with UW Health, Medical Physics, and leading equipment vendors drive continuous advancements in imaging. Cutting-Edge Technology: We utilize state-of-the-art imaging in CT, MR, PET/CT, PET/MR, angiography, ultrasound, PACS, and AI-driven medical imaging. Robust Research Infrastructure: Dedicated support for grant writing, media specialists, research nurses, technologists, and data managers enhance investigative success. Premier Imaging Facilities: The WIMR Imaging Sciences Center offers 60,000 square feet of advanced imaging space, including MRI, PET/MRI, PET/CT, CT, ultrasound, angiography, cyclotron, radiopharmaceutical production and comprehensive small animal imaging technologies. Together, UW Radiology and UW Health are committed to advancing human health through groundbreaking clinical care, pioneering research, and excellence in education. We foster a respectful, adaptive, and accountable environment-one that prioritizes innovation while serving the needs of all patients, including underserved populations. Visit our official website to learn more about our work and opportunities. Compensation: The starting salary for the position is $70,000 annually; but is negotiable based on experience and qualifications. Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. For more information, refer to the campus benefits webpage and the SMPH Academic Staff Benefits Flyer Required Qualifications: At least 3 years of post-doctoral research experience in medical imaging, oncology, and/or machine learning and artificial intelligence in an academic or similar research environment. Productivity evidenced by at least 2 first-author papers or preprints in the last 5 years. Prior experience handling large imaging data sets and bioinformatic analysis. Programming experience in Matlab, Python and/or R. Preferred Qualifications: Previous grant writing experience; manuscript writing; program management and/or development experience. Experience contributing to clinical research projects, including IRB protocols and clinical trials. Knowledge of statistical analysis and data visualization tools (R, SAS, Matplotlib, Seaborn, Plotly). Education: Terminal Degree Required; PhD in Engineering, Medical Physics, or a related technical field by application date. How to Apply: For the best experience completing your application, we recommend using Chrome or Firefox as your web browser. To apply for this position, select either “I am a current employee” or “I am not a current employee” under Apply Now. You will then be prompted to upload your application materials. Important: The application has only one attachment field. Upload all required documents in that field, either as a single combined file or as multiple files in the same upload area. Upload required documents: • Cover letter • Resume Your cover letter should address how your training and experience align with the required and preferred qualifications listed above. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes, and a candidate is selected. University sponsorship is not available for this position, including transfers of sponsorship and TN visas. The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment. This position is an ongoing position that will require continuous work eligibility. If you are selected for this position, you must provide proof of work authorization and eligibility to work. The department will not be able to support a request for a J-1 waiver. If you choose to pursue a waiver and apply for our position, neither the UW nor UWMF will reimburse you for your legal or waiver fees. Contact Information: Amanda Joncas, **************** Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information. Institutional Statement on Diversity: Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals. The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world. The University of Wisconsin-Madison is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website. To request a disability or pregnancy-related accommodation for any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR) in the division you are applying to. Please make your request as soon as possible to help the university respond most effectively to you. Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment. The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7). The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.

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

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. Organization Overview At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism. Role Overview The Clinical Development Scientist is a clinical trialist with clinical trial experience responsible for management of clinical supply (in collaboration with Supply Chain) and implementation of clinical supply/device trainings (in collaboration with other functional areas) for global clinical programs. They will be responsible for development of training materials and ensure timely planning and implementation of clinical supply/device trainings. The Clinical Development Scientist will also collaborate cross-functionally to support the clinical and scientific execution of all Lilly Gene Therapy clinical and preclinical programs, as needed. They will ensure timely planning, implementation, management, and reporting of clinical studies and trials. The successful candidate will collaborate cross-functionally to support all Lilly Gene Therapy Sensory clinical programs and provide clinical/scientific support to clinical trial sites and CROs. Responsibilities: Develop and manage updates of trial documents related to clinical supplies Develop training materials for clinical supply training sessions for clinical trial sites and CROs (if applicable) and manage the training material updates Collaborate both internally and externally to facilitate clinical trial site activities to ensure sites are ready for dose administration at site activation and throughout the trial Lead the efforts to conduct training sessions related to clinical materials and supplies Serve as the clinical development representative to work with Clinical Supply Management in supply management, demand forecasting, shipment operation/logistics, etc. Serve as the clinical/scientific representative for assigned clinical trials, as well as program teams, and facilitate the clinical/scientific execution of clinical and preclinical programs, as needed Support the clinical operations team, including clinical trial manager, in achieving trial deliverables, including adherence to budget and timelines, and developing trial documents, procedures, and plans Support authorship and review of clinical/regulatory documents ( e.g ., clinical protocols, Investigator Brochures, clinical study reports, briefing packages, etc.); collaborate cross-functionally in planning regulatory strategy and communications Other duties as assigned or as business needs require Basic Qualifications: Bachelor's degree in the Life Sciences required A minimum of two (2) years of pharmaceutical and/or clinical experience Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization and/or visas for this role Additional Skills / Preferences: Master's or higher level degree preferred (ie. PharmD, PhD, etc,..) Global clinical trials in the rare disease area Clinical/investigational pharmacy with gene therapy products or clinical supply management Prior pharma/biotech or academic experience in rare disease, otology, audiology, gene therapy, cellular therapy, and/or medical device preferred Proven track record of successfully conducting/supporting clinical trials and associated development activities Comprehensive understanding of the drug development and approval processes, and clinical trial design Strong interpersonal skills required Strong problem-solving skills, including the ability to identify and evaluate the critical factors of obstacles or opportunities; given background, experience, and judgment, able to understand potential causes and deliver potential solutions Ability to plan and think strategically and critically; intellectually curious, willing to take ownership of the assigned tasks and support clinical/pipeline programs, as needed Ability to critically evaluate and analyze scientific data and literature Strong communication skills (written and verbal) including the ability to express oneself clearly and concisely, and to message and document key progress and challenges appropriately; excellent presentation skills required Capable of representing Lilly Gene Therapy professionally with external global opinion leaders, investigators, vendors, regulatory agencies, and others Ability to work effectively cross-functionally, and to serve as clinical resource within the company Self-motivated and detail-oriented with ability to prioritize and handle multiple projects Additional Information: Travel may be up to 15%, including international travel Location: USA Remote Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (******************************************************** for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), en Able (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $63,000 - $154,000 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

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.

Job Title:Associate Principal Data Scientist (Remote) Requisition ID:R025545Job Description:Your Role Within Our KingdomWe are seeking an Associate Principal Data Scientist-a highly experienced and technically deep individual contributor who leads through influence, owns high-impact initiatives, and drives scientific excellence across experimentation and modeling. (This position is open to remote work.) Responsibilities: Lead the design and execution of large-scale data science initiatives, shaping the roadmap for experimentation and modeling across teams. Apply advanced statistical, optimization, and machine learning techniques (e.g., time-series, regression/classification, recommendation engines, reinforcement learning, and gen AI) to drive system understanding and develop data-powered solutions across the organization. Own design and evaluation of experimentation for optimization systems. Provide technical direction, mentor senior data scientists, and set high standards for scientific rigor, communication, and reproducibility. Partner cross-functionally with Product, Engineering, and Game Studios to frame ambiguous problems, scope solutions, and influence strategy. Champion innovation by evaluating new methodologies and tools, and by raising the bar for scalable, interpretable, and actionable data science. Skills to Create ThrillsMinimum Qualifications: Master's degree or PhD in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Engineering, Operations Research). 14+ years of industry experience (or equivalent post-graduate experience) in data science, experimentation, statistical modeling, and machine learning, including work with large-scale systems. Proficient in Python and SQL; familiarity with big data tools (e.g., Spark, Hive) and cloud computing platforms (e.g., GCP, AWS). Strong systems thinking-able to zoom out and define strategy while also diving deep into code and analysis. Excellent communication and collaboration skills, with demonstrated experience partnering across Product, Engineering and Business teams. Demonstrated experience mentoring, influencing, and elevating the technical bar across a data science organization. Relevant experience with one or more advertising solutions (i.e. Real-Time Bidding, Ad Exchange, etc.) Bonus Points Prior work with mobile gaming studios or player behavior modeling. Experience in developing or maintaining experimentation platforms. Familiarity with modern data orchestration and versioning (e.g., Airflow, dbt, MLflow). We love hearing from anyone who is enthusiastic about changing the games industry. Not sure you meet all qualifications? Let us decide! Research shows that women, veterans, and members of other under-represented groups tend to not apply to jobs when they think they may not meet every qualification, when, in fact, they often do! We are committed to creating a diverse and inclusive environment and strongly encourage you to apply. We are committed to working with and providing reasonable assistance to individuals with physical and mental disabilities. If you are a disabled individual requiring an accommodation to apply for an open position, please email your request to accommodationrequests@activisionblizzard.com. General employment questions cannot be accepted or processed here. Thank you for your interest. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status, among other characteristics. Rewards We provide a suite of benefits that promote physical, emotional and financial well-being for ‘Every World' - we've got our employees covered! Subject to eligibility requirements, the Company offers comprehensive benefits including: Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance; 401(k) with Company match, tuition reimbursement, charitable donation matching; Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave; Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others; If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance. Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company. You can learn more by visiting *************************************** In the U.S., the standard base pay range for this role is $143,060.00 - $264,846.00 Annual. These values reflect the expected base pay range of new hires across all U.S. locations. Ultimately, your specific range and offer will be based on several factors, including relevant experience, performance, and work location. Your Talent Professional can share this role's range details for your local geography during the hiring process. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed. While we strive to provide competitive offers to successful candidates, new hire compensation is negotiable.

Forge Your Future with Us: At Forge Biologics, we believe in turning bold ideas into life-changing realities. Our mission is simple yet powerful: to enable access to life-changing gene therapies and help bring them from ideas into reality. We partner with scientists, physicians, biotech and pharma innovators, and patient communities - all united by one goal: improving lives. If you're driven by purpose and excited to make a tangible impact, this is where your journey begins. Our team works out of The Hearth, a state-of-the-art, 200,000-square-foot cGMP facility in Columbus, Ohio. Here, you won't just watch innovation happen - you'll be part of it. Whether you're scaling AAV manufacturing, collaborating on cutting-edge therapies, or supporting complex technical projects, you'll play a key role in bringing hope to patients with genetic diseases. What sets Forge apart is our culture of H.O.P.E. We are hardworking, showing up each day with determination and grit. We are open, creating a space where ideas flow freely and every voice is valued. We are purpose-driven, with every task directly tied to changing lives. And we are engaged, energized by the challenges we face and the milestones we achieve together. At Forge, your growth matters. We're committed to helping you expand your skills, take on new challenges, and develop your career through mentorship, hands-on learning, and opportunities for advancement. Our people are our greatest investment, and we're proud to see team members grow with us. If you're ready to use your talent to help deliver hope to patients around the world, join us - and be part of something bigger than yourself. About The Role: The Associate Scientist II, Analytical Development (Cell Based Assays) supports the development and optimization of cell-based assays for AAV gene therapy products. This position is responsible for the execution of complex cell-based assays, contributing to method development, and collaborating with cross-functional teams to ensure the quality and consistency of our AAV gene therapy products. This role offers an excellent opportunity to gain hands-on experience in the critical analytical aspects of gene therapy development. Responsibilities: Execute complex cell-based assays independently and troubleshoot technical issues. Contribute to the development of cell-based assays, including assay design, protocol development, and qualification. Collaborate with scientists to analyze and interpret experimental data. Contribute to assay transfer activities between teams or sites. Participate in project planning and ensure timely delivery of results. Stay current with industry trends and incorporate best practices into assay development. Implement quality control measures to ensure the reliability and robustness of assays. Actively engage in continuous improvement efforts for processes and methodologies. Qualifications: Bachelor's or Master's degree in a relevant scientific field (e.g., biology, biochemistry, molecular biology). Proficiency in advanced laboratory techniques related to cell-based assays. Experience with assay development and optimization. Ability to troubleshoot technical issues and recommend solutions. Strong data analysis skills and the ability to generate actionable insights from experimental results. Preferred Skills: Experience participating in cell-based assays, including infectivity and in vitro potency assays. Experience drafting documents in adherence of regulatory expectations. Experience maintaining high-quality Electronic Laboratory Notebook records that capture all critical experimental details, along with the ability to build and optimize basic templates. Physical Requirements: This position works in both a laboratory environment and typical office environment where the physical work demands will vary depending on the specific tasks and duties required of the job. The employee will be stationary (standing/sitting) for extended periods of time. Employees regularly wear personal protective equipment based on the task being performed. Must be able to work in a confined space, such as a clean room or laboratory environment. Ability to identify small details within the field of vision, distinguish between different colors, and accurately identify objects within a specific area. Forge Biologics is an equal opportunity employer dedicated to building an inclusive and diverse workforce. Forge Biologics, provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We've Got You Covered: At Forge Biologics, we believe our people deserve to be taken care of - in and out of the workplace. We've built a comprehensive compensation and benefits package designed to help you thrive, grow, and feel valued every step of the way: Health from day one Health, dental and vision insurance start your first day - with 90% of premiums covered for you and your family. Time to recharge A competitive paid time off plan - because rest fuels innovation. 12 weeks of fully paid parental leave so you can focus on family when it matters most. Rewarding your impact Annual bonus opportunities for all full-time team members. 401(k) with company match to help you plan for the future. Special employee discounts, including childcare and dependent care savings. Your wellness, supported Onsite fitness facility at The Hearth. Mental health counseling and financial planning services through our Employee Assistance Program. Employer-paid short and long-term disability coverage to protect your peace of mind. Fuel for your workday A fully stocked kitchen with free snacks and beverages - we keep you energized and ready for what's next. Grow with us Ongoing professional development resources, training, and mentorship programs to help you build your care and grow within Forge.

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

See yourself at Dataminr As an AI Research Scientist you'll be working on some of the most challenging AI problems in real-time event detection and directly contributing to products while advancing the state of the art. This role can be remote or based out of our New York City, Dublin, or London offices. AI Innovation at Dataminr Working at Dataminr you'll have the opportunity to tackle the most exciting trends in AI on a daily basis to power a revolutionary product that uncovers critical events around the world as they unfold. Regenerative AI: our AI technology, ReGenAI, is a new form of generative AI that automatically regenerates real-time Live Event Briefs as events unfold. Learn more here. Agentic AI: we recently launched our Agentic AI capability, what we're calling our Intel Agents, that autonomously generates critical context for our clients on real-time events, threats, and risks allowing them to see the clearest, most accurate view of what's happening on the ground. Learn more here Multimodal AI: our platform detects events from many different types of data (images, video, sensor data, audio, and text in over 150 languages). Learn more here. The opportunity Perform research to advance the state of the art and solve specific problems at scale in one or more of the following areas: Natural Language Processing, Machine and Deep Learning. Work closely with a diverse, interdisciplinary team to deliver value to customers (existing and new products). Contribute to the research community via publications in top tier venues, participation in program committees, etc. Excel in placing a human-centered focus on the work (context, end-user impact, etc), finding solutions that work in practice and have significant impact. Productionize and ship research into Dataminr's products, and thus to its users worldwide. Senior candidates are expected to lead technical areas and/or people. What you bring At Dataminr, we value you for who you are. We encourage you to apply for this role, even if you don't meet every qualification. Our candidates are reviewed on the basis of their skill and potential to succeed. Ph.D. in Computer Science or related field Experience in one or more of the following topics: AI for cyber security, LLMs, agentic AI, generation, machine translation, summarization, topic detection & tracking, text classification, knowledge extraction/representation/management, trending topic detection, search, machine learning and deep learning, etc. Outstanding publication record (IEEE, AAAI, NeurIPS, ACL, TACL, EMNLP, WWW, etc.). Demonstrated ability to work independently, set up experiments and demonstrate progress through principled use of metrics. Proficiency in Python and experience with relevant AI/ML libraries and frameworks such as PyTorch and Hugging Face Transformers. Experience with LLM serving technologies such as vLLM is a plus. Professional experience in industry (requirement varies depending on level; recent graduates must have had relevant internships). #LI-Remote #LI-BM About Dataminr At Dataminr, we are a mission driven team of talented builders, creators and visionaries who have real-world impact on how organizations are able to respond to events. Dataminr's groundbreaking, AI-powered, intelligence platform provides organizations with the earliest signals of emerging risks, events, and threats before they unfold. Trusted by two-thirds of the Fortune 50 and half of the Fortune 100, Dataminr's platform analyzes billions of public data inputs spanning text, image, video, audio and sensor data across 150+ languages, empowering our clients to stay one step ahead in an increasingly complex world where every second counts. Founded in 2009, we have pioneered the world's first real-time event detection platform, long before the recent Gen AI ‘boom.' Dataminr operates all around the world united by our passion to use AI for the greater good, be agents of positive change and put our technology into the hands of clients charged with the responsibility to keep organizations running and keep people safe. As our employees focus on developing our revolutionary technology, we focus on our employees. Dataminr is proud to offer a variety of flexible work arrangements, offices all over the world to foster collaboration, generous PTO and sick leave, and more, as part of our competitive benefits package aimed at keeping all our employees happy and healthy. Explore all our benefits here. We believe our differences give us strength. Our employees are empowered to be their best, authentic selves through various opportunities, such as our robust employee resource group (ERG) network, manager development programming, professional development funds, and more. We serve a global community made up of many cultures and strive to reflect the world and clients we serve, with a workforce built on merit and equity. We actively condemn racism and discrimination in any form. We stand for social good, fostering a culture of allyship, and standing up for those who face systemic barriers to equality. We lead with empathy and strive to be agents of positive change in our company and in our communities. The annual base salary range for this position is $148,240 - $218,000. You will also be eligible to receive a discretionary bonus and Company equity. Actual salary will be based on a number of factors including, but not limited to, geographic location, applicant skills, and prior relevant experience. Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, color, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status. Dataminr will collect and process your personal data. All personal data will be processed in accordance with applicable data protection laws. Please see Dataminr's candidate privacy notice available here. By providing your details and applying via our careers website, you acknowledge that you have read our candidate privacy notice. If you have any queries, please contact the People Team at *************** or privacy@dataminr.com .