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Job Description Are you a patent attorney or agent who spent time as a USPTO examiner and knows firsthand what happens on the other side of the desk? Do you want to help build the product that changes how the patent office itself works, not just the firms filing into it? Do you want real ownership over a brand new frontier at a fast-growing company, instead of another year of incremental work at a firm? This is your chance to join a rocket ship! ️ About the role We are looking for a Legal & Product Engineer with USPTO examiner experience to help us build for the patent office side of the table, as we expand beyond private practice law firms into direct relationships with patent offices themselves. You'll be joining the most lean, talent-dense, and fast-moving legal team in New York. You'll be responsible for: Bringing firsthand USPTO examiner experience into product discussions, shaping how Solve builds for the examiner side of the patent process Supporting Solve's push into working directly with global patent offices, including the USPTO and EPO, by lending credibility and hands on domain expertise Helping onboard and support examiner users as Solve's examiner-facing product and contracts come online Partnering closely with Solve's existing patent attorneys to ramp quickly on Solve's workflows and tooling About you As a Legal & Product Engineer, you will have extensive experience navigating patent prosecution from both sides of the process, through work as a USPTO examiner and time in private practice. Registered US patent attorney or patent agent, with a technical degree in a field like computer science or electrical engineering Former USPTO patent examiner, having examined applications for at least 1 to 2 years Currently working in private practice or in-house, not a currently active examiner and not someone who has returned to government work 3 to 5+ years of total experience across USPTO examining and private practice combined Comfortable and confident in customer-facing settings, from customer calls to product demos Self-directed with a startup mindset, ready to move faster and take more ownership than typical government or firm work allows Nice to have: Examining background in software, AI, or electrical art units Comfort using AI tools as part of daily workflow Drafting or prosecution experience in software or AI-adjacent technologies Time at a well-regarded firm What we offer Competitive base salary depending on skill and experience. Significant equity - we want you to take ownership in Solve Intelligence and share in the success that lies ahead. Full visa sponsorship. Opportunity to work with a super smart and ambitious group of people building something people want. Private medical insurance. Free meals. About Solve Intelligence Solve Intelligence is the fastest-growing startup transforming the IP landscape. Solve's AI platform manages everything from invention harvesting and patent generation through to litigation and licensing. Growth: ~20–30% MoM revenue growth; selling to 700+ global IP teams across 6 continents (DLA Piper, tech giants, boutiques, etc); 8 figures of ARR — all just ~3 years since we started. Backing: $55M backing from YC, 20VC, Microsoft, Thomson Reuters, and the founders of top companies like Stripe, Perplexity, Tinder, Deel, Hugging Face, and Canva. Impact: 50–90% efficiency and quality improvements. See our latest Series B announcement. We're on a high-growth trajectory, and we're looking for people who want to join us on the journey to building a generational AI company. Meet the founders You’ll work directly with a founding team of AI PhDs and systems experts: Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired). Chris (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute. Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard). Compensation Range: $100K - $220K

Job Description Crimson Education is the world’s leading college admissions consulting firm, with over 1,490 Ivy League offers and 2,410 to the US Top 15. We help ambitious students gain admission to the world’s top universities through expert-led guidance and proven, data-driven strategies. Crimson students are 7x more likely to get into the Ivy League than their peers. We were recently featured on the front page of the Wall Street Journal. Crimson is the only college admissions consultancy that brings together: Former Ivy League and Top 20 admissions officers to rigorously review and refine applications Professors and PhD teaching fellows from leading universities to guide students through original, independent research — with pathways to selective peer-reviewed publication or conference presentation Past ISEF winners and judges who coach students to compete for state, national, and international science fair awards Capstone project mentors who help students design and scale leadership initiatives with real-world impact, measurable outcomes, and credible external validation We’re backed by leading VC firms, including Tiger Global, Heal Partners, IceHouse Ventures, and Movac, and recently closed a USD $40M Series D funding round at a USD $640M valuation. We now operate across 21 markets worldwide, including the US, Canada, UK, Singapore, Japan, Hong Kong, Australia, and New Zealand. AP Tutor Apply now and join Crimson Education’s mission to revolutionize education and empower students to reach their full academic potential. Become an AP Tutor with Crimson Education - Inspire Students, Shape Futures! Are you passionate about education and eager to make a real impact on students around the world? Crimson Education is a fast-growing global EdTech company, founded in 2013, with the bold mission to transform students into the world’s future leaders. Operating in 28+ countries with a team of 700+ professionals, Crimson connects a global network of 3,000+ tutors and mentors with students aiming to achieve academic excellence and gain admission into the world’s top universities. As we continue to expand, we are looking for talented, driven, and passionate Academic Tutors to join our global team! About Crimson Education Crimson Education is the world’s leading college admissions consultancy, with over 1,320 Ivy League offers and 2,140 to the US Top 15. We help ambitious students gain admission to the world’s top universities through expert-led guidance and proven, data-driven strategies. Crimson students are 7x more likely to get into the Ivy League than their peers. What sets us apart is our unmatched scale and expertise. We have the largest team of Former Admissions Officers and Strategists globally. Every student is matched with a carefully-chosen team of admissions experts who zero in on different parts of their college application, from essays to extracurriculars, ensuring every detail is expertly executed. Role Overview We are seeking AP Tutors across a wide range of subjects. As a Crimson AP Tutor, you will work with highly motivated students from around the world, helping them achieve subject mastery, improve academic performance, and prepare for high-stakes exams. This is a flexible, part-time, hourly, remote contractor position ideal for experienced educators or career tutors with a proven track record of driving outstanding student outcomes. Tutors will work with students globally, providing high-quality academic support in a flexible schedule that can be adapted around existing commitments. Key Responsibilities Deliver engaging, personalized tutoring sessions (1:1 or small group) tailored to each student’s curriculum, level, and goals Assess student needs, strengths, and weaknesses to create effective lesson plans Monitor and track student progress, adjusting strategies as needed Communicate professionally with students, parents, and Crimson’s internal staff to align on expectations and outcomes Maintain professional standards, punctuality, and reliability in all tutoring engagements Stay current with relevant curriculum requirements, exam formats, and teaching methods in your subject area Key Performance Indicators Measurable improvement in student performance relative to internal assessments, mock exams, and official test results A significant proportion of students are achieving top percentile results or exceeding targeted score thresholds Positive feedback ratings from students and parents (measured through post-session surveys and internal reviews) 100% on-time delivery of scheduled sessions with minimal cancellations or reschedules Required Skills & Experience Bachelor's degree or higher from an accredited university Certified teaching credentials or demonstrable professional tutoring experience with a strong record of student success, including an AP score of 5 in the relevant subject(s). Strong command of online teaching platforms and digital learning tools Outstanding communication skills with the ability to explain complex concepts clearly Cultural competency and experience working with international students Minimum availability of 10 hours per week with flexibility across time zones Professional work-from-home setup, including: Reliable high-speed internet connection Computer with a functioning webcam and microphone Quiet, distraction-free environment suitable for professional instruction

Job Description️ The Role: Sales Development / GTM Less than 24 months since launch, we are adding 7 figures of ARR per month. We’ve built a world-class team of AI PhDs, engineers, and patent attorneys. Now, we need a high-energy, ambitious GTM specialist to build our outbound engine and help us scale to $1B+ ARR. What you’ll own: Identify high-potential leads and strategic prospects within our target market. Drive outbound activity through cold calling, emailing, and social media to hunt new business. Deploy personalized, high-impact outreach campaigns to maximize lead conversion. Sync closely with Account Executives to navigate prospect objections and leverage market trends. Continuously refine outreach strategies based on real-time feedback and market response. Track and report on critical metrics, including conversion rates, lead quality, and outreach velocity. Partner with sales leadership to analyze data and optimize the playbook for scale. About Solve Intelligence We are the fastest-growing startup transforming Intellectual Property. Our AI-powered platform handles invention harvesting, patent generation, and portfolio management. 20-30% MoM revenue growth. 300+ IP teams globally, including Tier-1 firms like DLA Piper and major tech enterprises. Users report 50-90% efficiency gains. Recently announced our $40M Series B (Total funding: $55M) from elite investors including Y Combinator, 20VC, and Visionaries. You’ll be joining a founding team with deep pedigree: Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired). Chris (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute. Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard). Who You Are We are a high-performance culture. To thrive here: You prioritize speed, are always itching to move faster, and want to book meetings in hours, not weeks. You have a relentless work ethic and take extreme ownership of your KPIs. You’re willing to go the extra mile to achieve the mission. You thrive in a positive, high-stakes environment and are eager to learn whatever it takes to win. You understand we are at the start of an exponential curve and want to drive mass adoption of state-of-the-art tools. ️ What You Bring Must-Haves: Experience in B2B sales with a history of smashing KPIs and securing high-value meetings. Exceptionally clear written and verbal skills to engage sophisticated legal and technical prospects. A love for the data and a willingness to "grind" alongside the founders. Preferred & Nice-to-Haves: Experience selling complex SaaS products to mid-market or enterprise firms. Frequent user of AI products with an understanding of the current LLM landscape. Side projects, "hustles," or early-stage startup experience that shows you can build from zero. What’s In It For You? Competitive base + unlimited commission upside. Meaningful ownership in a rocket ship. Full visa sponsorship and private medical insurance. Free meals and the chance to work with the smartest minds in AI. Ready to build the future of IP? Apply now. Compensation Range: $90K - $130K

Job Description About Child Mind Institute We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Position Details: As part of the Research, Strategic Data Initiatives team, you will report to Research, Strategic Data Initiatives. You will be responsible for MoBI's technical architecture, standards, and best practices while providing technical leadership and project-level guidance. This role will establish technical direction, mentor team members, and ensure engineering excellence across all MoBI development efforts. The Lead Scientific Software Developer will develop and maintain multiple scientific software packages, pipelines, and web based applications for use in mental health research and use a range of laboratory methods across projects, including functional and structural magnetic resonance imaging (MRI), electrophysiology (EEG), physiological measures (e.g., actigraphy, heart rate, respiration), computer-based tasks, eye tracking, and ecological assessments. This is an exempt, full- time position requiring a minimum of four (4) days per week in the office located in our NYC headquarters office. You Will: • Manage MoBI's technical architecture, standards, and best practices; providing technical leadership and project-level guidance and defining and maintaining technical strategy and roadmap for MoBI Core pipelines and infrastructure. • Develop and implement pipelines for collection, quality control, and analysis of data for MoBI experiments. • Specify analytic requirements for experiments to establish usability and validity of software pipelines. • Program tasks, software pipelines, data visualization tools, and machine learning or data science utilities for a variety of scientific use cases. • Contribute to effective, scalable, well-documented code, and share code to GitHub, or equivalent, repositories for version control, leading code review processes and establish quality standards for team deliverables • Write documentation and relevant text for scientific, clinical, or public distribution of knowledge. • Mentor team members on technical approaches, best practices and professional development and act as the internal resource to scientific and clinical teams with software and data science needs at the Child Mind Institute and collaborating centers. • Perform additional job-related duties as assigned. You Have: • PhD in Computer Science, Cognitive Science, Neuroscience, Biomedical Engineering or related field or equivalent combination of education and experience., • 5+ years of experience in at least one data modality of MoBI: MRI, EEG, physiological measures, eye-tracking, developing computer-based tasks, or ecological assessments., • Demonstrated capacity for technical leadership including architecture design and team mentorship, • Programming expertise in a combination of Python (including the scientific Python ecosystem), R, C++, C#, Javascript, Matlab, bash scripting, or equivalent., • Experience working in Unix/Linux environments on both personal and high-performance computing infrastructures., • Deep knowledge of image and signal processing., • Experience developing and applying data analysis and machine learning technologies independently., • Proven ability to establish technical standards and best practices. ((#LI-remote, #LI-on-site, #LI-hybrid)). Our Benefits Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our employee benefits website. Pay Range The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. EEO Disclaimer Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind. Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at hr@childmind.org

Job Description Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors. In this role, you'll combine deep cloud expertise, technical breadth, and a passion for great didactic experiences to build the next generation of cloud education at DataCamp. About the role This is an individual contributor role. You will collaborate with subject matter experts and leverage in-house-built cutting-edge AI tooling to scale high-quality course creation across cloud platforms (AWS, Azure, GCP) and cloud-adjacent topics such as DevOps, infrastructure-as-code, MLOps, and cloud data engineering. Here's what your day-to-day will look like: • Manage the entire content development lifecycle and deadlines., • Source and recruit top-tier subject-matter experts as instructors., • Collaborate with instructors to create engaging content., • Consistently leverage AI tools like Claude Code, Cursor, and more to drive high-quality content production at scale., • Design, review, and create content on Cloud platforms, cloud architecture, DevOps, cloud data engineering, and related topics. You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective., • Continuously assess course performance using learner feedback and engagement data to drive improvements., • Identify and prioritize existing curriculum gaps or new topics in DataCamp's cloud curriculum. We're excited about you because you have the following • A solid hands-on background working with one or more major cloud platforms (AWS, Azure, or GCP). Relevant cloud certifications (e.g. AWS Solutions Architect, Google Professional Cloud Architect, Azure Administrator) are a strong plus., • Broad cloud fluency spanning infrastructure, storage, compute, networking, and managed services, with additional depth in at least one area such as cloud data engineering, MLOps, serverless, or DevOps/IaC., • A solid technical background in Python and/or SQL, with comfort working in cloud-native tooling and CLI environments., • Intuitive understanding of instructional design, with proven ability to structure and teach technical concepts clearly., • Graduate degree (Master's or PhD) in Computer Science, Cloud Computing, Software Engineering, or a related STEM field—or equivalent industry experience., • Strong experience with agentic coding systems such as Claude Code, Cursor, and Replit. You consider yourself a sophisticated user of these tools. Bonus if you have the following • A deep understanding of the DataCamp course format—you have an intuitive understanding of what makes a great DataCamp course., • An existing network of potential subject matter experts who can become DataCamp instructors., • An extensive track record of building sophisticated AI systems and workflows. If you don't meet all the requirements but are excited about the role and believe your background makes you a strong fit, we encourage you to apply.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Machine Learning Engineer — Model Evaluation & Experimentation Type: Contract Compensation: $60–$90/hour Location: Remote Commitment: 35 hours/week Role Responsibilities • Design tasks by turning real ML research ideas into well-defined, multi-step tasks., • Run experiments by implementing changes, running training experiments, and analyzing results., • Explore reinforcement learning ideas, focusing on reward functions and training behavior., • Evaluate models to identify where frontier models fall short., • Collaborate with researchers and experts to maintain task consistency and rigor. Qualifications Must-Have • MSc or PhD in machine learning, computer science, or a related STEM field., • 1+ years of experience in a research or research-engineering role., • Experience in training and evaluating ML models and running experiments end-to-end., • Strong familiarity with large language models and their evaluation techniques., • Proficiency in Python and Git. Preferred • Basic understanding of reinforcement learning., • Experience in AI training, model evaluation, or benchmark/task authoring. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job DescriptionPatent Litigator Are you a patent litigator with a technical edge who wants more than just billable hours? Do you want to shape litigation product strategy for the fastest-growing AI company in IP? Do you want to own how we evolve the patent litigation product at a company that's rewriting the rules? This is your chance to join a rocket ship! ️ About the role We are looking for a super smart and talented Patent Litigator to lead and build out our patent litigation capability as we build Charts, our patent litigation product. You'll be joining the most lean, talent-dense, and fast-moving legal team in London. You'll be responsible for: Conducting infringement and validity analysis across technical domains Advising on litigation risk and developing strategic recommendations for clients using the platform Working directly with the engineering and AI teams to shape how Charts handles litigation workflows Supporting patent prosecution-to-litigation handoffs across the IP lifecycle Contributing to product development by translating litigation expertise into platform features About you As our Legal and Product Engineer (Patent Litigator), you will have extensive experience handling complex patent disputes through associate or senior associate roles at top-tier litigation firms. 3+ years of experience as an associate or senior associate in patent litigation Technical background — ideally a patent attorney who moved into patent litigation (technical field agnostic: life sciences, electronics, mechanical, etc.) Super smart, hard working, and high agency — the kind of person who thrives in fast-paced, ambiguous environments Experience at elite patent litigation firms (e.g. Quinn Emanuel, Kirkland & Ellis, or equivalent calibre) Strong analytical and strategic thinking with the ability to break down complex technical and legal issues Based in NYC or London Nice to have: Experience across both life sciences and non-life sciences patent matters Familiarity with AI/ML tools in legal workflows Prior experience at a startup or in-house legal team Dual-qualified or experience with cross-border patent disputes What we offer Competitive base salary depending on skill and experience. Significant equity — we want you to take ownership in Solve Intelligence and share in the success that lies ahead. Full visa sponsorship. Opportunity to work with a super smart and ambitious group of people building something people want. Private medical insurance. Free meals. About Solve Intelligence Solve Intelligence is the fastest-growing startup transforming the IP landscape. Solve's AI platform manages everything from invention harvesting and patent generation through to litigation and licensing. Growth: 20–30% MoM revenue growth; selling to 600+ global IP teams across 6 continents (DLA Piper, tech giants, boutiques, etc); 8 figures of ARR — all just ~2 years since we started. Backing: $55M backing from YC, 20VC, Microsoft, Thomson Reuters, and the founders of top companies like Stripe, Perplexity, Tinder, Deel, Hugging Face, and Canva. Impact: 50–90% efficiency and quality improvements. See our latest Series B announcement. We're on a high-growth trajectory, and we're looking for people who want to join us on the journey to building a generational AI company. Come join the rocket ship Meet the founders Sanj (Chief Research Officer and co-founder): Sanj did his MSci in Physics at the University of Cambridge and his PhD in AI at the Gatsby Unit, UCL. He won awards at top AI conferences, worked on the R&D team at Huawei, and received widespread attention for his contributions to open-source LLM projects on GitHub. He joined Magic Carpet AI as employee #4, where he developed AI strategies for trading, before the company was acquired. Chris (Chief Executive Officer and co-founder): Chris did his undergrad at Imperial College London, his masters at the University of Cambridge, and his PhD in machine learning at UCL, during which he published 10+ papers and won awards at top AI conferences and journals. Prior to founding Solve, Chris worked at The Alan Turing Institute, InstaDeep, and Dyson. Angus (Chief Technology Officer and co-founder): Angus holds an MEng in Computer Science. He led trade platform development at Coremont after roles at GCHQ and Qualcomm. Compensation Range: $150K - $250K

Job Description Are you a high-agency, ambitious person looking to work on groundbreaking projects? Do you want to be a major part of a rock-star team in a rapidly growing startup, collaborate with industry leaders, and make a real impact in the AI-for-legal landscape? Do you want to have ownership in a startup building something people want with significant traction? This is your chance to join a rocket ship! 🏗️ About the role We are looking for a smart, high-agency individual with frontend-leaning software engineering experience to lead our product growth efforts. You’ll operate at the intersection of engineering, product, and marketing. You’ll work across the full range of metrics, including product usage analysis, product engagement, user acquisition, pipeline optimization, and more. You’ll be responsible for: Product usage analysis: Use dashboards (Posthog, Grafana, Datadog, etc.) to analyze usage behaviour and patterns, and then use that to (1) steer our top-of-funnel growth marketing and (2) drive engagement across our existing customer base. Top-of-funnel optimization: Come up with novel ways to build top-of-funnel pipeline, and run creative experiments to build top-of-funnel (embed product features in SEO blog posts, track the performance of our paid ads, conferences, events, etc.). Usage optimization: Develop workflows to flag unengaged users and experiment with strategies to drive more engagement. Metric strategy: Work with us to define the key metrics we should be optimizing for. Revenue & pipeline optimization: Help us optimize each step in our pipeline pre- and post-sale. 👋 Who you’ll work with Sanj (Chief Research Officer and co-founder): Sanj did his MSci in Physics at the University of Cambridge and his PhD in AI at the Gatsby Unit, UCL. He won awards at top AI conferences, worked on the R&D team at Huawei, and received widespread attention for his contributions to open-source LLM GitHub projects. He joined Magic Carpet AI as employee #4, where he developed AI strategies for trading which deployed millions of capital before being acquired by Blockchain.com. Chris (Chief Executive Officer and co-founder): Chris did his undergrad at Imperial College, masters at the University of Cambridge, and PhD at UCL, during which he published 10+ publications and won awards in top AI conferences and journals. He has worked in leading tech organisations, including Dyson, The Alan Turing Institute, and InstaDeep before its acquisition by BioNTech. Angus (Chief Technology Officer and co-founder): Angus did an MEng in Computer Science at the University of Bristol where he won a cyber security scholarship at GCHQ before working at Qualcomm. He then joined a London-based hedge fund, Coremont (Brevan Howard). There, he led a small team to build a greenfield trade processing platform which scaled to millions of trades per day. You’ll also work with the rest of our super talented team of AI researchers, software engineers, patent attorneys, and go-to-market experts. 🛠️ What you bring As our Founding Growth Engineer, you will be a driven, ambitious, and high-agency individual looking to have a big impact on the trajectory of a fast-growing AI startup’s product and growth. You might be a technical ex-founder or software engineer looking for high autonomy and the opportunity to have a significant impact. Must haves: Strong frontend-leaning engineering skills. Strong product sense. Interest in growth and the business side of things. Preferred haves: Experience with product analytics tools (e.g. Posthog, Datadog, Grafana, etc.). Experience with launching or growing products. 🎁 What we offer Competitive base salary depending on skill and experience. Equity; we want you to take ownership in Solve Intelligence and share in the success that lies ahead. Full visa sponsorship. Opportunity to work with a super smart and ambitious group of people building something people want. Private medical insurance. Free meals. Compensation Range: $100K - $250K

Job Description CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. What You'll Do: The Storage Engine Team at CoreWeave is responsible for the product capabilities and data plane function of CoreWeave's managed storage products. We build reliable, scalable storage solutions with segment leading performance. Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world's most demanding AI workloads. About the role: • Design and Implement distributed storage solutions to support scaling data intensive AI workloads., • Contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments., • Work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency., • Lead efforts to improve the reliability, durability, security, and observability of our storage stack., • Collaborate with operations teams to monitor, troubleshoot, and improve storage systems in production environments., • Set the bar for developing metrics and dashboards to provide visibility into storage performance and health., • Analyze telemetry and system data to drive improvements in throughput, latency, and resilience., • Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack., • Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems.Who You Are:, • Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field., • 8–10+ years of experience working in storage systems engineering or infrastructure., • Strong hands-on experience with object storage or distributed filesystems in production environments., • Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar., • Proficiency in a systems programming language such as Go, C, or Rust., • Proficiency leveraging AI tools to augment software development., • Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana)., • Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. What You'll Do: The Storage Engine Team at CoreWeave is responsible for the product capabilities and data plane function of CoreWeave's managed storage products. We build reliable, scalable storage solutions with segment leading performance. Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world's most demanding AI workloads. About the role: • Design and Implement distributed storage solutions to support scaling data intensive AI workloads., • Contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments., • Work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency., • Lead efforts to improve the reliability, durability, security, and observability of our storage stack., • Collaborate with operations teams to monitor, troubleshoot, and improve storage systems in production environments., • Set the bar for developing metrics and dashboards to provide visibility into storage performance and health., • Analyze telemetry and system data to drive improvements in throughput, latency, and resilience., • Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack., • Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems.Who You Are:, • Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field., • 8–10+ years of experience working in storage systems engineering or infrastructure., • Strong hands-on experience with object storage or distributed filesystems in production environments., • Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar., • Proficiency in a systems programming language such as Go, C, or Rust., • Proficiency leveraging AI tools to augment software development., • Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana)., • Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. • You love to grow and push the boundaries of your expertise, • You're curious about distributed storage and the demands AI/ML workloads, • You're an expert in data persistence on physical media, high performance data transfer using RDMA, or resilient distributed systems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. What You'll Do: The Object Storage Team at CoreWeave is responsible for the product capabilities and data plane function of CoreWeave's managed storage products. We build reliable, scalable storage solutions with segment leading performance. Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world's most demanding AI workloads. About the role: • Design and Implement distributed storage solutions to support scaling data intensive AI workloads., • Contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments., • Work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency., • Lead efforts to improve the reliability, durability, security, and observability of our storage stack., • Collaborate with operations teams to monitor, troubleshoot, and improve storage systems in production environments., • Set the bar for developing metrics and dashboards to provide visibility into storage performance and health., • Analyze telemetry and system data to drive improvements in throughput, latency, and resilience., • Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack., • Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems.Who You Are:, • Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field., • 8–10+ years of experience working in storage systems engineering or infrastructure., • Strong hands-on experience with object storage or distributed filesystems in production environments., • Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar., • Proficiency in a systems programming language such as Go, C, or Rust., • Proficiency leveraging AI tools to augment software development., • Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana)., • Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. • You love to grow and push the boundaries of your expertise, • You're curious about distributed storage and the demands AI/ML workloads, • You're an expert in data persistence on physical media, high performance data transfer using RDMA, or resilient distributed systems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionAbout the Role We are seeking an exceptional quantitative researcher to lead our intraday equities alpha team. You will focus on discovering and modeling short-horizon statistical signals across large equity universes, leveraging high-frequency market data and cross-sectional relationships. This role is ideal for candidates with a strong background in signal research and a deep understanding of market microstructure. What You'll Do • Develop and test short-term alpha signals using high-frequency (tick-level and order book) data across global equity markets., • Analyze inter-symbol dynamics, liquidity patterns, and cross-sectional dependencies to identify transient inefficiencies and arbitrage opportunities., • Conduct rigorous backtesting and performance attribution across large baskets of equities in a fully systematic environment., • Collaborate with engineering and trading teams to deploy and monitor strategies in live production., • Continuously refine signal stability, robustness, and decay profiles across changing market regimes.What We Look For, • 5+ years of experience in alpha research or quantitative signal development, ideally in intraday or short-horizon equity strategies., • Deep understanding of market microstructure, order flow dynamics, and execution-related features that affect signal quality., • Strong programming skills in Python and/or C++, and fluency in working with large-scale high-frequency datasets., • Experience in cross-sectional modeling and statistical arbitrage frameworks across equities., • Advanced degree (MS/PhD) in a quantitative field such as mathematics, physics, statistics, computer science, or related disciplines.Nice to Have, • Experience with production-level alpha deployment in global equity markets (US, CN, APAC, EMEA)., • Familiarity with execution-aware signal design (slippage modeling, alpha decay, trade-to-book impact)., • Track record of successful signal ideas contributing to live PnL.Summary, • You'll work on short-horizon predictive modeling using high-frequency cross-sectional signals across equities. You won't manage execution or risk, but you'll work closely with teams who do. If you're passionate about alpha and fluent in market data, this role is for you. Pay Range: • Actual salary is commensurate with candidate's relevant years of experience, skillset, education and other qualifications. Base salay USD $125,000.00 - USD $500,000.00/Yr.

Job Description We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary: Our team has a unique opportunity to work on applications and data at scale, serving millions of jobseekers and tens of thousands of customers. At ZipRecruiter, our products help connect job seekers with employers, eager to add talent to their company. We're building an innovative marketplace for both jobs and job seekers alike. As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team. Our business is complex; we're working on data driven systems and applications and we're looking for engineering managers who can own entire (or even multiple) product lines, drive business value while investing in their team's/tech stack's health, and coach engineers to build a strong culture of excellence, ownership, and personal and professional growth. About the Job: • Own the mission, execution, morale, and code quality of your team, • Partner effectively with product managers to maintain and execute against the product roadmap, • Serve as a force multiplier for your team by removing roadblocks, identifying and implementing process improvements, and delegating effectively, • Actively build community and culture throughout the engineering organization, • Continually develop, coach, motivate, and improve your team, leading by example, • Champion and evolve innovation at ZipRecruiter and evangelize BIG ideas Minimum Qualifications: • 6+ years of experience in a fast-paced software development/data engineering environment, building ETL pipelines at scale, • 2+ years of experience as a Data Engineering leader, • Experience designing, building, and supporting production-grade data pipelines Preferred Qualifications: • BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field, • 3+ years of experience owning data pipelines for machine learning models and AI powered features, including personalization, recommendations, search, ranking, matching, • Expertise using data to power products, not just to analyze it, • Demonstrated experience innovating novel approaches and solutions to ambiguous problems As part of our team you'll enjoy: • Competitive compensation, • Exceptional benefits package, • Flexible Vacation & Paid Time Off, • Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is $190,000-$240,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice

Job Description Introduction Founded in 2010, Axtria is a leading global provider of cloud software and data analytics solutions tailored to the life sciences industry. We empower life sciences companies to reimagine their product commercialization journey, driving sales growth and enhancing patient healthcare outcomes. Our work impacts millions of patients worldwide, and our passionate commitment to innovation and healthcare excellence fuels our success. At Axtria, technology innovation is our key differentiator. We continue to outpace the competition by integrating Artificial Intelligence (AI) and Machine Learning (ML) into our cloud-based platforms—Axtria DataMax™, Axtria InsightsIQ™, Axtria SalesIQ™, and Axtria MarketingIQ™. These platforms enable efficient data management, deep data-driven insights, and seamless management of end-to-end commercial operations. With a global footprint spanning over 30 countries, Axtria is recognized as one of the largest and most trusted commercial solutions providers for the life sciences sector. We are proud to be consistently featured on prestigious lists such as INC 5000, Deloitte FAST 500, NJBIZ FAST 50, SmartCEO Future 50, and the Red Herring 100 for growth and innovation. Position Overview As a Senior Leader in Axtria’s AI & Data Practice, you will spearhead transformational initiatives across cloud data management, analytics, and agentic AI solutions for our life sciences clients. You will drive client engagement, ensure delivery excellence, and provide strategic leadership for a dynamic team of technology professionals. Key Responsibilities Client Engagement & Delivery Management • Lead and inspire client engagements, ensuring world-class delivery of strategic, high-impact projects across life sciences., • Act as a trusted advisor for key clients, guiding them through data transformation journeys that enhance business growth., • Manage large-scale client engagements from inception through execution, ensuring projects are delivered on time, within scope, and with exceptional quality., • Cultivate and grow client relationships to expand Axtria’s footprint and influence in the life sciences sector., • Contribute strategic insights into Axtria’s solution development and innovation roadmap. Technology Leadership • Oversee the end-to-end delivery of innovative cloud and data management solutions, ensuring alignment with client objectives., • Provide technical leadership across cloud data platforms (AWS, Snowflake, Databricks, Azure) and AI architectures, recommending best-in-class solutions tailored to business needs., • Drive innovation in data warehousing, business intelligence, and agentic AI strategies, anticipating future trends in the life sciences industry. Solution Development & Innovation • Collaborate with Subject Matter Experts (SMEs) to design scalable, cutting-edge solutions that leverage AI/ML technologies., • Lead the development of cloud-native architectures and ensure the seamless integration of solutions on platforms such as AWS, Snowflake, Databricks, and Azure., • Offer consultative guidance on best practices for AI & Data architecture, solution design, and project scoping based on client needs. Team & Talent Management • Lead and mentor a high-performing, global team of professionals, fostering a culture of collaboration, continuous learning, and professional growth., • Oversee the team’s performance, manage succession planning, and drive talent recruitment to ensure sustained excellence., • Build a collaborative, innovative team environment that encourages thought leadership and professional development. Business Development & Consultative Selling • Play an active role in business development efforts, from shaping winning proposals to responding to RFPs with custom solutions that showcase Axtria’s technical prowess., • Lead pre-sales initiatives and product demonstrations to articulate the value of Axtria’s cloud and data management capabilities., • Partner with business development teams to draft thought leadership content such as white papers and industry insights that establish Axtria’s leadership in cloud data management for life sciences. What You’ll Bring • Deep expertise in cloud data/analytics platforms such as Snowflake, Databricks, AWS, Azure, BI tools like Tableau and Power BI, AI tools provided by Anthropic, Microsoft, OpenAI, and others., • Proven leadership experience in the life sciences industry, with a strong focus on transformational projects., • Demonstrated success as a Lead Architect or Delivery Manager on large-scale, end-to-end data management projects, with full responsibility for design, delivery, and ongoing optimization., • Advanced proficiency in data modeling (both relational and dimensional) and a thorough understanding of data integration and data warehouse architectures., • A strategic thinker with a track record of managing portfolios worth $10M+ and driving revenue growth through strong client relationships., • Cloud certifications (Snowflake, Databricks, AWS Professional, AWS Associate) and experience with Azure cloud solutions are highly desirable. Qualifications • Bachelor’s degree in Computer Science or a related field; MBA, Master’s Degree, or PhD preferred., • Certifications in AWS (Professional or Associate level) are highly preferred; Azure certification is a plus. Pay Transparency Laws Salary range or hourly pay range for the position The salary range for this position is $180,200 to $231,850 annually. The actual salary will vary based on applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant’s geographic location. The salary range reflected is based on a primary work location of Berkeley Heights, New Jersey. The actual salary may vary for applicants in a different geographic location. Powered by JazzHR pHhH4zDk2u

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Machine Learning Engineer — Model Evaluation & Experimentation Type: Contract Compensation: $60–$90/hour Location: Remote Commitment: 35 hours/week Role Responsibilities • Design tasks by turning real ML research ideas into well-defined, multi-step tasks., • Run experiments by implementing changes, running training experiments, and analyzing results., • Explore reinforcement learning ideas, focusing on reward functions and training behavior., • Evaluate models to identify where frontier models fall short., • Collaborate with researchers and experts to maintain task consistency and rigor. Qualifications Must-Have • MSc or PhD in machine learning, computer science, or a related STEM field., • 1+ years of experience in a research or research-engineering role., • Experience in training and evaluating ML models and running experiments end-to-end., • Strong familiarity with large language models and their evaluation techniques., • Proficiency in Python and Git. Preferred • Basic understanding of reinforcement learning., • Experience in AI training, model evaluation, or benchmark/task authoring. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: STEM PhDs and Technical Domain Experts Type: Contract Compensation: $55–$80/hour Location: Remote Role Responsibilities • Contribute subject matter expertise to a cutting-edge project involving state-of-the-art large language models., • Create high-quality data by developing difficult problems in your domain to inform the future of AI innovation., • Collaborate with AI research teams to enhance model reasoning and outputs., • Work independently and asynchronously to meet deadlines and improve AI model performance., • Provide structured feedback to elevate training data quality and downstream performance. Qualifications Must-Have • PhD or advanced degree (or equivalent industry experience) in Medicine / Healthcare, Statistics and Data Science, AI / ML Research, Computer Science, Game Development, or Mechanical / Aerospace Engineering., • High attention to detail., • Exceptional written and verbal communication skills. Start Date • Applications reviewed on a rolling basis. Interview Process • Complete a short interview and task (20–30 mins)., • Paid for up to 1 hour of onboarding time including this and onboarding videos if hired. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity. We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis. Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities. About the Role We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows. Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges Explore image representation in latent space for efficient, high-fidelity virtual staining Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap Collaboration Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches Required Qualifications PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising Expert proficiency in Python and PyTorch and other scientific computing environments a plus Strong mathematical foundation in linear algebra, probability, and optimization Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure) Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles Experience with feature search, data balancing, and data curation pipelines. Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment Extensive use of AI tools for coding, optimization, and ideation Preferred Qualifications Experience with medical imaging, digital pathology, or whole slide image (WSI) processing Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem Background in generative models and fine-tuning of foundation models Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton Experience with hosting computer vision model inference on NVIDIA DGX Spark. Understanding of FDA regulatory requirements for AI/ML in medical devices Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility What We Offer The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Key Responsibility Areas: • Assist in generating and updating manufacturing documentation, including standard operating procedures (SOPs), work instructions, and quality criteria for HTS magnet assembly., • Support design, prototyping, and commissioning of custom manufacturing tooling, fixtures, and equipment., • Work alongside magnet designers and manufacturing engineers to incorporate "lessons learned" from the shop floor into future designs., • Manage virtual and physical inventory, organize assembly areas, and update manufacturing Bills of Materials (BOMs)., • Assist hardware procurement, evaluating vendor specs, and ensuring incoming parts meet quality standards., • Track production metrics, test results, and progress against critical program milestones.Ideal Experience & Skillsets:, • Currently pursuing a Bachelor’s, Master’s or PhD degree in Mechanical Engineering, Aerospace Engineering, Materials Science, or a related technical field., • Strong foundational understanding of engineering drawings and spatial mechanics (exposure to GD&T is a major plus)., • Hands-on project experience (e.g., Formula SAE, rocketry club, robotics club, etc.) involving mechanical or electrical hardware design, build, and test., • Direct experience with fabrication or assembly processes such as machining (hand tools, manual mill, CNC), fastened and bonded assemblies, soldering, etc., • Familiarity with CAD software (e.g., SolidWorks, NX)., • Ability to work through and solve highly multidisciplinary engineering problems, • Ability to take initiative, work independently and as part of a team, • Exceptional work ethic, with clear communication and collaboration skillsCompany Benefits:, • Salary range $21 - $25/hourRequirements:, • Ability to occasionally lift up to 50 lbs., • Ability to perform activities such as typing, standing, or sitting for extended periods of time., • Ability to work in a facility that contains industrial hazards including heat, cold, noise, fumes, strong magnets, high voltage, high current, pressure systems, and cryogenics. It’s not necessary to meet all of the skillsets outlined above. Please feel free to send us a note and tell us why you would still be a great fit for this role or Thea Energy. Diversity and Inclusion: Thea Energy is an equal opportunity employer committed to creating a company of diverse backgrounds. By creating a diverse environment, we will bring new ideas and approaches to solving some of the world’s hardest (and most important) problems. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, family or marital status, age, disability, veteran’s status, or other characteristic protected by applicable laws and regulations. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 Description Quant Developer/Market Maker The Company - Our client is a small trading shop, whose founders have an extremely successful track records in all prior ventures in high Frequency trading. The core consists of small group of educated PhD scientists who came together to build trading models in multiple asset classes over the last decade. They were first challenged to finding non-random behavior in data sets as they tackled the FX market with new algorithmic trading and quickly separated themselves from everyone else in the market. That company was bought by a world leader in capital markets, and they moved into equities, and were successful as a prop trading shop for over 6 years, and was eventually bought as well. They are now onto their next venture they are looking to tackle the cryptocurrency market. As a trusted asset to every large financial trading desk through the years, institutions have expressed great interest in trading with them, and the firm provides crypto asset execution, trading, and advisory services to institutional clients, as well as making markets on various exchanges, as well as providing customized algorithms to split up trades. They are looking for a Quant Developer (Quant/Market maker) to join this team, and head up building the market making product. This person does not need crypto experience, but needs to understand the technical backbone of market making systems, market microstructure and the technical needs for setting up and monitoring strategies. All systems are built from scratch and brand new. The competitive advantage is the model and brilliant combination of quantitative minds. They build their systems to be smarter, highly risk averse, rigorously tested and with a strict scientific approach to modeling. The Role – Starting as an Senior Quant Developer/Market Maker you will get a chance to get in on the ground floor in a low key environment and let data drive your decisions. This opportunity is for a top notch engineer with strong quantitative skills, to take a pragmatic approach and enjoy the flexibility of building something, in an environment where there is no red tape, or barriers to your creativity. It is a great opportunity for a Quant who wants to leverage technical/math skills to learn more about, and get into trading. Ideas for strategies are encouraged, and team will help you test and implement them. This is an opportunity for you to work with elite minds as well as trade ideas, grow in knowledge and gain exponential earnings potential. The overall climate is for everyone to make money and go home satisfied. Flexible hours and telecommuting is offered. Qualifications ¬ Experience working with high performance trading systems, specifically market making systems. ¬ FX is preferred over equity, because it translates better to the crypto-market. ¬ Strong Java/C# Programming ¬ Ability to develop systematic models from a mathematical approach ¬ Strong Math/Quantitative Skills and experience with Large Data Sets ¬ Top Tier Education – Masters or PhD (Math, Science, Computer Science, Engineering, Computational Finance) Skills and abilities you will be finely rewarded, compensation greatly depends on experience, equity and salary will be based on value.

Job DescriptionMachine Learning Engineer Location: Global, Fully Remote Job Type: Contractor (~15 hours per week) Schedule: Flexible — choose your preferred hours and days, including weekends. We are looking for highly skilled Machine Learning Engineers to contribute to an AI training project focused on model development, training and inference systems, numerical computing, performance optimization, and Python-based engineering. This is a highly coding-intensive role. Candidates must have hands-on experience using Python and coding agents as part of their development workflow. What You'll Work On • Develop, implement, and validate machine learning models, training pipelines, and inference systems., • Build model components, data pipelines, evaluation frameworks, and numerical methods., • Create reproducible workflows using Python and command-line tools., • Debug numerical, performance, and system-level issues., • Optimize memory usage, throughput, and overall model performance., • Review and validate machine learning implementations against defined correctness and performance requirements.Required Qualifications, • Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative field., • Strong professional or research experience in machine learning., • Advanced practical proficiency in Python and coding agents., • Experience with one or more of the following:, • PyTorch, • JAX, • NumPy / SciPy, • SGLang, • vLLM, • llama.cpp, • Hugging Face Transformers, • Hugging Face Tokenizers, • Equivalent tools may also be considered where candidates demonstrate relevant technical depth., • Experience at a technology company, AI laboratory, research organization, or recognized engineering environment is preferred., • Strong open-source or academic experience may also qualify.Process, • Apply and complete the screening questions., • Complete an AI interview of approximately 30 minutes., • Complete the hiring manager review.Compensation Compensation is output-based, with payment provided per task that meets project specifications. Task completion time may vary depending on experience and workflow. Minimum submission requirements apply. Start Timeline & Availability We typically fill roles within 48 hours and are seeking experts who can start immediately. Selected candidates should begin their first task within 24–48 hours of completing onboarding.

Job Description We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary: Our team has a unique opportunity to work on applications and data at scale, serving millions of jobseekers and tens of thousands of customers. We're working on building an efficient marketplace of jobseekers and employers and need senior data engineers to build fast, scalable, and effective applications, stream and batch data processing, ML infrastructure and a variety of other systems all to help connect people to their next job. We provide an essential service and have a thriving business as a result. Our stack is complex and we're looking for engineers who know how to write evolvable, properly instrumented, and efficient code as part of a growing distributed system. We're working on data driven systems and applications and need people who can build fast services and processes to power all of the intelligence we use to help change people's lives. Responsibilities: • Build data processing and exploration pipelines along with ML infrastructure to power our intelligence, • Deploy a range of cloud-based technologies for critical projects, • Write, test, instrument, and deploy code to our Kubernetes environment, • Help drive the innovation and evolution of ZipRecruiter Minimum Qualifications: • 2+ years of professional software development experience with a focus on Python and big data technologies, • Experience with Spark, Kafka, Hadoop, Hive, and/or other big data technologies, • Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms, • Experience with containerization technologies like Docker and/or Kubernetes Preferred Qualifications: • 4+ years of professional software development experience, with a focus on Python and big data technologies, • BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience, • Experience with data integration tools like Apache Kafka, Flume, and NiFi, • Familiarity with data storage technologies such as Delta Lake, HBase, Cassandra, and MongoDB, • Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data Analytics, and/or Azure Databricks As part of our team you'll enjoy: • Competitive compensation, • Exceptional benefits package, • Flexible Vacation & Paid Time Off, • Employer-matched 401(k) plan The US base salary range for this full-time position is $130,000-$175,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. #LI-Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice

Job DescriptionMachine Learning Engineer Location: Global, Fully Remote Job Type: Contractor (~15 hours per week) Schedule: Flexible — choose your preferred hours and days, including weekends. We are looking for highly skilled Machine Learning Engineers to contribute to an AI training project focused on model development, training and inference systems, numerical computing, performance optimization, and Python-based engineering. This is a highly coding-intensive role. Candidates must have hands-on experience using Python and coding agents as part of their development workflow. What You'll Work On • Develop, implement, and validate machine learning models, training pipelines, and inference systems., • Build model components, data pipelines, evaluation frameworks, and numerical methods., • Create reproducible workflows using Python and command-line tools., • Debug numerical, performance, and system-level issues., • Optimize memory usage, throughput, and overall model performance., • Review and validate machine learning implementations against defined correctness and performance requirements.Required Qualifications, • Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative field., • Strong professional or research experience in machine learning., • Advanced practical proficiency in Python and coding agents., • Experience with one or more of the following:, • PyTorch, • JAX, • NumPy / SciPy, • SGLang, • vLLM, • llama.cpp, • Hugging Face Transformers, • Hugging Face Tokenizers, • Equivalent tools may also be considered where candidates demonstrate relevant technical depth., • Experience at a technology company, AI laboratory, research organization, or recognized engineering environment is preferred., • Strong open-source or academic experience may also qualify.Process, • Apply and complete the screening questions., • Complete an AI interview of approximately 30 minutes., • Complete the hiring manager review.Compensation Compensation is output-based, with payment provided per task that meets project specifications. Task completion time may vary depending on experience and workflow. Minimum submission requirements apply. Start Timeline & Availability We typically fill roles within 48 hours and are seeking experts who can start immediately. Selected candidates should begin their first task within 24–48 hours of completing onboarding.

Job DescriptionAbout Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do's, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We're looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we're creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024, 2025) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed! This role is hybrid requiring 2 days in office at our San Francisco or NYC hub every Tuesday & Wednesday. About the Role Machine Learning is a cornerstone at Taskrabbit, and we're looking for a Staff Machine Learning Engineer to take technical ownership of our core ranking system. Every job request on the platform flows through it, making this one of the most consequential ML systems we run. This is a hands-on technical leadership role. You'll operate as the primary architect and engineer for the ranking system — defining the system direction, driving the roadmap, solving the hardest problems, and creating leverage for the engineers around you. You'll also serve as the primary technical interface for Product, Data Science, Risk, and Commerce on all things matching. What we need is a single technical owner who can hold the architecture, translate strategy into engineering action, and mentor the team as the system scales. What You'll Work On: • Ranking System Ownership: Own the architecture, model design, experiment strategy, and production reliability of the core ranking system end-to-end. You are the system's primary technical decision-maker., • Cross-functional Technical Leadership: Serve as the primary technical point of contact for Product, Data Science, Risk, and Commerce on matching and ranking questions. Actively participate in architecture reviews; give clear, well-reasoned recommendations and convince stakeholders on technical tradeoffs., • Model Reliability: Build automated retraining pipelines, rollback capability, and skew detection — the foundations that enable safe experimentation at speed and eliminate silent model drift., • Ranking Quality & Debiasing: Address position bias and other systemic biases in the ranking pipeline to produce cleaner training data and unlock downstream experimentation., • Client Intent Signals: Leverage filter-based signals from high-booking user cohorts (69–72% higher booking rate) to drive direct conversion lift from untapped behavioral data., • Personalization: Surface return-client signals, prior Tasker preferences, and preference modeling to improve IAR for the highest-value booking segment., • Platform Thinking: Identify where ML can add value beyond the ranking system and scope those opportunities for the broader team. Make build-vs-buy recommendations and contribute to long-term ML architecture at Taskrabbit., • Team Development & Thought Leadership: Mentor the junior engineer, elevate seniors through code and design reviews, and raise the technical bar across the team. Beyond day-to-day guidance, you bring a transformational perspective — introducing new methodologies, challenging existing patterns, and shaping how the team thinks about ML problems. You're a sought-out guide and a catalyst for how the team evolves.Who You Are: We welcome applicants from a variety of backgrounds and experiences. Below gives you a sense of how we're thinking about what you'll need to be successful in the role. • BS, MS, or PhD in Computer Science, Statistics, Operations Research, or a related quantitative field., • 8+ years of industry experience building and deploying production-grade ML systems, with a track record of owning a system end-to-end — not just contributing to one., • Deep expertise in ranking, recommender systems, or two-sided marketplace ML. Experience with debiasing, A/B experimentation at scale, and the subtleties of feedback loops in production systems., • You think architecturally. You can hold the full picture of a complex system — data pipelines, feature stores, training infrastructure, serving, monitoring — and make principled decisions about how they fit together., • You write and review code at a high standard. Your code reviews are insightful and educational; your implementations set the bar for quality and maintainability on the team., • You can do critical R&D. When a problem is novel and the solution is unclear, you have the depth to explore it systematically and the judgment to know when to go deeper vs. ship., • You have a vision for how state-of-the-art advances in ML — from large language models to modern deep ranking architectures — can transform what a traditional ranking system is capable of, and the judgment to chart a practical path toward that future., • You're an effective cross-functional partner. You communicate technical tradeoffs clearly to non-technical stakeholders, proactively identify upstream and downstream implications, and build trust with partners through reliability and transparency., • You motivate and elevate the people around you. You give kind, direct feedback, mentor with generosity, and help others grow without creating dependency., • Strong proficiency in Python and SQL. Hands-on experience with ML libraries (PyTorch, TensorFlow, scikit-learn, LightGBM/XGBoost) and modern data infrastructure (Kafka, Airflow, Snowflake/BigQuery, Docker/Kubernetes). Familiarity with dbt is a plus., • Experience with Infrastructure as Code (Terraform) and CI/CD pipelines., • Proficiency in using AI coding tools (e.g., Claude Code, Augment, or similar) across the full software development lifecycle — from designing and generating code to testing, monitoring, and releasing software.Compensation & Benefits: At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks. The base pay range for this position is $170,000 - $225,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level. You'll love working here because: • Taskrabbit is a Hybrid Company. We value flexibility and choice but also stay committed to regular in-person connection., • The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!, • The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average., • The Perks. Taskrabbit offers our employees with employer-paid health insurance and a 401k match with immediate vesting for our US based employees. We offer all of our global employees generous and flexible time off with 2 company-wide closure weeks, Taskrabbit product stipends, wellness + productivity + education stipends, IKEA discounts, reproductive health support, and more. Benefits vary by country of employment. Taskrabbit's commitment to Diversity and Inclusion: An Active Commitment to Equity within our Company and Platform. We are an inclusive community where all who share our mission and values belong. Our diverse team represents the communities we serve, breaking down systemic barriers, and transforming lives- one action at a time. Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. AI-Assisted Prescreening Notice [US Based Candidates Only]: As part of our hiring process, we may use artificial intelligence tools to assist with the initial prescreening of applications and responses. This tool does not make hiring decisions — every application and response is reviewed by a member of our recruiting team to determine fit for the role. If you would prefer not to have your application processed using this tool, you may opt out by selecting 'opt out' in the application form or by emailing talentacquisition@taskrabbit.com, and your application will be reviewed manually with no impact on your candidacy.

Job Description At Solve Intelligence, events aren't a marketing side-quest. They're our #1 growth channel. We're doing 70+ conferences this year, we just hosted 100 of Silicon Valley's biggest tech companies in one room, and we're ready to invest serious capital to go much bigger. Now we need someone to own the whole machine. ️ The Role: Events Lead Just ~3 years since launch, we are adding 7 figures of ARR per month, we have raised ~$60M USD, and we are quadrupling headcount this year. In-person events drive more of that growth than any other channel. Until now, they've been run part-time by the founders and our GTM team. You'll be our first dedicated events hire, based in London and working directly with the founders. Your job is to own events end-to-end; the commercial events that drive pipeline, the flagship we want the IP industry talking about for years, and the hackathons and meetups that pull the best AI engineers into Solve's orbit. Much of it you'll coordinate remotely from London; for the ones that matter, you'll be there. What you'll own: Strategy & ROI: Own Solve's global events strategy end-to-end — across GTM, talent, and brand — and the return on every dollar spent. Treat each event as an experiment: measure it with our growth marketer, triple down on what works, kill what doesn't. Conferences (our #1 channel): Lead our presence at the 70+ industry conferences we sponsor each year across the US, Europe, and Asia (AIPLA, INTA, IPO, EPO) — booths, speaking slots, and the dinners and drinks receptions around them. The Flagship: Build Solve's annual flagship event from zero — concept, audience, partnerships, content, on-the-day execution. We recently hosted 100 of the largest Silicon Valley tech companies (Google, Meta, Apple, Microsoft) for a closed-door panel and networking evening; think ElevenLabs-Summit scale next, with real capital behind it. Curated gatherings: Founder dinners, customer roundtables, rooftop socials, and product-launch moments across London, New York, and Munich. Talent & employer brand: Hackathons, technical meetups, university partnerships, and our presence at AI conferences (NeurIPS, ICML, ICLR) — bringing the best AI engineers and researchers into Solve's orbit, in partnership with our Talent team. Operational excellence: Vendors, budgets, logistics, run-of-show, and post-event follow-up — all handled without drop. AI-powered event ops: Scale a traditionally high-touch function with AI — attendee research, follow-up sequences, content repurposing — and partner with our RevOps engineers to wire every event into HubSpot and Ashby with full attribution. About Solve Intelligence We are the fastest-growing startup transforming Intellectual Property. Our AI platform handles everything from invention harvesting and patent generation through to litigation and licensing. Growth: 20–30% MoM revenue growth; 8 figures of ARR just ~3 years since launch. Market: 600+ IP teams across 6 continents, including Tier-1 firms like DLA Piper, tech giants, and boutiques. Impact: Users report 50–90% efficiency and quality improvements. Backing: ~$60M from Y Combinator, 20VC, Microsoft, Thomson Reuters, and the founders of top companies like Stripe, Perplexity, Tinder, Deel, Hugging Face, and Canva. See our Series B announcement. Who You'll Work With You'll work directly with the founders, alongside our GTM, RevOps, and Talent teams: Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired). Chris (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute. Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard). Who You Are We are a high-performance culture. To thrive here: You're a scrappy, entrepreneurial owner: From sourcing the venue to printing the name badges, nothing is beneath you — you'd rather run the experiment this month than perfect the plan for next quarter. You're a born host: You love bringing people together, and it shows — people leave your events talking about them. You think in ROI: Every event is a bet with a number attached. You're comfortable being measured on pipeline, hires, and brand — and killing your own ideas when the numbers say so. You have high agency: There's no playbook and no events team behind you (yet). You spot the opportunity, own it, and deliver it. You leverage AI everywhere: Research, ops, follow-ups — you use AI to do the work of a small team, and it's why one of you is enough. You're all-in: Solve is fast and intense, and this isn't a 9–5 (events rarely are). You get obsessive about the details that make something memorable. ️ What You Bring Must-Haves: A track record of running events people remember — conferences, summits, hackathons, or community events — owned end-to-end, with results you can point to. Commercial instinct: You can show how events you've run contributed to pipeline, revenue, or hires — with numbers. Serious operational rigour: Vendors, budgets, logistics, run-of-show, and follow-up all handled without drop. Comfort with a global remit: You'll coordinate events across three continents from London, and travel internationally for the ones that matter. Exceptionally clear written and verbal communication. Preferred & Nice-to-Haves: High-growth experience: You've run events at a fast-growing B2B SaaS or AI company and know what good looks like. Flagship from zero: You've designed and launched an annual flagship event from scratch — concept, audience, format, brand. Technical events: Hackathons, meetups, or developer-facing events at an AI or dev-tools company. IP/legal familiarity: You know (or can quickly learn) the professional-services world we sell into. GTM stack fluency: HubSpot, Ashby, Zapier/n8n, event platforms (Hopin, Bizzabo, Goldcast) — you can build the workflows yourself, not just brief someone else. Brand & creative sensibility: You can brief a designer and have a view on every touchpoint. A network in AI, tech, or enterprise events circles. What's In It For You? Compensation: Competitive base + significant equity — true ownership in a high-growth startup. Founding Impact: Be events hire #1, own our biggest growth channel, and spend real budget on big swings from day one. Support: Full UK visa sponsorship, private medical insurance (Bupa), and 6% employer pension contribution/401k. Perks: Free daily meals and the chance to work with the smartest minds in AI. Ready to build the events engine behind the rocket ship? Apply now. Compensation Range: $100K - $150K

Job Description About Us: Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser. Overview: As a Quantitative Trader Graduate, you will join our DV Equities desk and participate in the execution and risk management of systematic trading strategies across global equity markets, learning our proprietary methodologies and systems through hands-on experience. You will work closely with senior traders and quantitative researchers to develop, refine, and monitor data-driven trading models. This role is designed for graduates with a strong quantitative foundation, a genuine curiosity about markets, and a willingness to grow in a fast-paced environment. Responsibilities: • Work closely with senior traders to learn proprietary methodologies and quantitative trading systems, • Participate in the execution and risk management of systematic trading strategies, including trade execution and risk layoffs, • Build, maintain, and improve quantitative trading models using historical market and orderbook data, • Analyze large datasets to identify patterns, inefficiencies, and new alpha opportunities for systematic strategies, • Enhance existing strategies and identify new opportunities through data-driven research, • Liaise between the trading desk, internal teams, and OTC relationships, • Monitor live trading performance and iterate on models based on real-time market feedback, • Additional responsibilities may be driven by the individual's interests and skills Requirements: • Currently pursuing a Bachelor's, Master's, or PhD in a quantitative field (Mathematics, Statistics, Economics, Computer Science, Physics, Engineering, or related), with an expected graduation by Summer 2027, • Strong proficiency in Python; experience with SQL, statistical modeling, or C++ is highly preferred, • Strong foundation in math, probability, and statistics, • Genuine interest in financial markets, algorithmic trading, and market microstructure, • Demonstrated ability to learn quickly and perform in a fast-paced, high-pressure environment, • Ability to maintain composure and communicate clearly under pressure, • Exceptional problem-solving ability and multitasking skills, • Prior internship experience in trading, quantitative research, or data analysis is a plus DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV's posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees. The range below reflects the expected base salary for this position. It represents a good-faith estimate of the base pay we anticipate offering, with actual compensation determined by your experience, education, skills, and performance throughout the interview process. This role is also eligible for a discretionary bonus (at DV Trading's discretion) and DV Trading's benefits package, including the benefits listed above. Base Salary Range $80,000—$100,000 USD

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Applied Computer Science Benchmark Specialist Type: Contract Compensation: $66–$84/hour Location: Remote Commitment: 10+ hours/week Role Responsibilities • Author original computer science questions to test deep conceptual understanding. Ensure questions are unambiguous, self-contained, and precisely defined., • Rate each question's difficulty as Medium, Hard, or Expert. Provide 1 correct answer and 9 plausible but subtly incorrect alternatives., • Write step-by-step Chain-of-Thought solutions in markdown format. Supply 1–5 academic references per question from reputable sources., • For verification tasks, review pre-written questions for accuracy and clarity. Flag issues and justify any edits made., • Work independently and asynchronously to meet deadlines while advancing AI capabilities. Qualifications Must-Have • PhD or doctoral candidate in Computer Science, Electrical Engineering, or a closely related field., • Strong command of graduate-level CS theory, algorithms, systems design, and/or machine learning., • Excellent written English and ability to express complex ideas clearly and concisely. Preferred • Master's degree considered for candidates with exceptional depth in a specific subdomain., • Research publications, industry experience at top tech companies, or competitive programming background. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Head of AI Product \n \n We have a search for a Head of AI for our large alternative investment firm. They have begun with a small team who has built proprietary LLM’s and Bot’s are already used by 80% of the firm. The success has created an appetite for more. The spirit around this function is to scaling AI technologies across all business groups mainly to create alpha and secondarily, to drive efficiency. \n \n As Head of AI, you will lead the enterprise-wide strategy, across every aspect of the business, from Portfolio Management to Investor Relations. Your mandate is to scale AI solutions across business groups, putting people in place to understand the business needs and then execute them with the latest tools. This includes building scalable AI infrastructure, fostering cross-functional collaboration. You will report to the CTO and oversee and build a team of AI specialists, data scientists, and engineers. \n \n Key Responsibilities \n • Develop and execute a comprehensive AI strategy aligned with the organization’s business objectives, prioritizing high-impact use cases for scaling across all business units. \n • Lead the scaling of AI technologies enterprise-wide, including designing MLOps pipelines, real-time inference systems, and integration with existing workflows. \n • Collaborate with C-suite, business group leaders, and portfolio managers to identify AI opportunities, break down silos, and drive adoption. \n • Oversee AI infrastructure and operations, including vendor partnerships, budget management, and performance metrics to achieve efficiency gains like reducing operational costs or improving decision accuracy. \n • Champion innovation by piloting and scaling advanced AI technologies (e.g., generative AI, agentic systems). \n • Represent the organization as an AI thought leader, building external partnerships and navigating industry-specific challenges in finance or multi-unit operations. \n Qualifications and Skills \n • Software Engineering leadership experience with an new focus on in AI/ML, with a proven track record of scaling AI initiatives.( \n • Deep technical expertise in AI technologies, including machine learning, LLMs, MLOps. \n • Advanced degree (MS/PhD preferred) in Computer Science, AI, or a related field; executive presence for C-suite and board interactions. \n • Excellent communication and change management skills to foster an AI-literate culture across business groups.

We're a different kind of AI lab. Our research sits at the crossroads of database systems and interoperability, and it's shaped by real problems our enterprise partners bring to us. \n \n We love work that's hard, meaningful and genuinely enjoyable at once. The best days here start with a tough problem, a whiteboard and a pile of code and experiments, and end with pizza boxes on the table and a solution finally cracked. We're builders at heart, drawn to problems nobody's solved yet and always looking past the immediate task toward what's next. \n \n 💡 About the Role \n We're hiring a Founding Software Engineer to build products from the ground up and turn early stage research ideas into working systems. You'll contribute to product development, co-author papers submitted to leading scientific conferences and help drive our open-source efforts. \n \n This is a true owner-operator position. You'll help shape a new type of applied AI research lab from its earliest days, with substantial equity upside to match the responsibility. \n \n 🔨 Who We're Looking For \n People who: \n\n • Have an underway PhD or a PhD degree. We're a research lab, and every technical team member authors papers;\n, • Have real builder experience, whether through hackathons, side projects or products shipped to real users (bonus points for scale);\n, • Can't stop generating ideas. Ask them to build one feature and they'll come back with three more they think should exist too;\n, • Want to work shoulder to shoulder with PhD researchers on new ideas in AI, ML and database systems;\n, • Care about owning what they build from start to finish.\n\n \n 🔬 Who We Are \n\n • Moving fast: pre-seed funding closed, partnerships with leading universities in place and a major enterprise client signed, all within a few months;\n, • Based out of two top-tier campuses;\n, • Led by a technical founder with a PhD in computer science from a top program;\n, • Committed to publishing at major scientific venues several times a year, with every technical team member credited as an author.\n

Goliath is partnering with a leading systematic investment and trading firm to hire a Quantitative Researcher within its established intraday equities & futures business. The firm is willing to wait through non-competes. You would join a highly selective, collaborative team conducting novel research and developing new statistical and ML methodologies for intraday and mid-frequency equities& futures investing. Researchers benefit from extensive datasets, substantial computing power, and sophisticated infrastructure to take original ideas from initial hypothesis to live trading. Essential Requirements: • H-index of at least 10., • Approximately 1–7 years of quantitative research experience, with clear contributions to equities alpha signals or systematic strategies., • Previous experience building greenfield predictive models from the ground up, ideally applied to financial markets., • Bachelor’s, master’s, or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or a related field., • Proficiency in Python (and C++ is an added value)., • Strong understanding of transaction costs, market impact, and out-of-sample robustness. Preferred Experience: • ML research, including deep learning., • Short-horizon forecasting or statistical arbitrage., • Evidence of individual research contributions that have improved live trading outcomes. Compensation: $2M–$3M TC, depending on experience and team fit. Location: Flexible (US) If interested, please apply or contact Goliath for a confidential conversation.

Job Description Job Posting Title: Vice President, Research Strategy Reports to: Chief Scientific Officer Location: Hybrid in New York, NY WHO WE ARE Fueled by passion and urgency, the National Kidney Foundation is a lifeline for all people affected by kidney disease. As pioneers of scientific research and innovation, NKF focuses on the whole patient through the lens of kidney health. Relentless in our work, we enhance lives through action, education, and accelerating change. WHAT WE BELIEVE IN NKF’s Mission is what we do, our Values are how we do it. • Accountability- Earn and Keep Trust, • Collaboration-Work as a team, • Communication- Empower with information, • Community-Build stronger community, • Compassion- Lead with care and respect, • Impact-Focus on the mission Your Voice Matters: https://www.kidney.org/about/diversity-equity-inclusion WHO YOU ARE The Vice President of Research Strategy is a leadership role responsible for shaping and executing the organization’s enterprise-wide research and insights strategy. This leader will ensure scientific rigor across all research activities, integrate data and analytics into decision-making, and translate evidence into actionable insights that drive programmatic impact, policy influence, and organizational growth. The VP of Research Strategy will report directly to the Chief Scientific Officer and will lead a diverse NKF internal research portfolio, including implementation science, outcomes research, qualitative and quantitative studies, market research, and program evaluation, while also advancing the organization’s extramural research grant program. WHAT YOU’LL DO Research Strategy & Portfolio Leadership • Develop and execute a comprehensive, organization-wide research strategy aligned with NKF’s mission, strategic priorities, and revenue goals, • Oversee and integrate a diverse research portfolio, including:, • Implementation science and health services research, • Market research and stakeholder insights, • Program evaluation and outcomes measurement, • Signature initiatives (e.g., KidneyCARE Study, CKD Prognosis Consortium, CKD-EPI-CT, Transplants for All), • Oversee NKF’s research grant portfolio and related funding programs, including strategic priority setting, application and peer review processes, award management, outcomes tracking, and dissemination of funded research findings, • Elevate NKF’s national profile as a leader in evidence generation, implementation science, and patient-centered research, • Ensure alignment of NKF-funded research initiatives with organizational strategic priorities, emerging scientific opportunities, and areas of unmet need in kidney health Kidney Intelligence & Data Integration • Lead the development of a Kidney Intelligence Hub, integrating data science, research operations, and analytics into a cohesive ecosystem, • Partner with internal teams to leverage data (clinical, programmatic, payer, and external datasets) to generate actionable insights on kidney care, • Establish frameworks for data governance, interoperability, and scalable analytics to support organizational decision-making Cross-Functional Collaboration & Organizational Alignment • Serve as a strategic partner across departments (Scientific Operations, Population Health, Marketing, Development, Policy, and Programs), • Embed research and insights into program design, education, advocacy, and partnership strategies, • Support service departments in aligning insights and evaluation with fundraising and programmatic goals External Partnerships & Fundraising • Collaborate with internal and external stakeholders to raise funds and expand research opportunities and strengthen NKF’s role as a convener and catalyst for innovative kidney research, • Build and lead strategic partnerships with academic institutions, health systems, payers, industry, and government agencies, • Identify and secure funding opportunities (grants, contracts, sponsored research, major gifts) to support research initiatives, • Represent NKF as a trusted partner and leader in kidney-related research and data-driven innovation Team Leadership, Research Operations, and Role Details • The VP Research Strategy role is based at NKF Headquarters in New York, NY and requires employees to be on-site two to three days per week. Fully remote is not an option for this role, • Candidates must currently reside in the New York Metropolitan area or being wiling to relocate, • NKF will provide a relocation package for the right candidate. Only applicants who meet this location requirement will be considered, as remote candidates are not eligible., • Build, lead, and mentor a high-performing research team, including the Senior Director, Data Analytics and the Senior Director, Patient Outcomes Research, • Oversee research operations, including study design, IRB processes, data management, and compliance, • Ensure adherence to the highest standards of scientific integrity, ethics, and regulatory requirements, • This position requires travel 6-8 times per year WHAT YOU’LL POSSESS • PhD, DrPH, ScD, or equivalent advanced degree in public health, health services research, implementation science, outcomes research, or a related field, • 10+ years of progressive leadership experience in research, analytics, or insights roles, preferably within healthcare, nonprofit, academic, or policy environments, • Deep expertise in implementation science, health services research, outcomes research, or real-world evidence generation, • Demonstrated success leading complex, cross-functional research initiatives and translating insights into strategy and impact, • Experience building and managing external partnerships and securing research funding, • Experience overseeing research funding mechanisms, grant review processes, or scientific advisory committees preferred, • Strong track record of publications, thought leadership, and/or national recognition in relevant fields, • Exceptional leadership, communication, and strategic thinking skills WHAT WE OFFER • Work/life Integration: Enjoy plenty of vacation time, sick leave, and holidays so you can recharge, regroup or reflect—and come back ready to tackle anything, • Support for Your Health: We've got your back with top-notch medical, dental, and vision insurance plans for you and your loved ones, • Peace of Mind: Rest easy knowing you're covered with life insurance and a 403(b) plan with matching company contributions to secure your future, • Creative savings: Take advantage of flexible spending accounts to save on eligible healthcare and dependent care expenses, • Easy Commuting: Reduce your stress with our commuter benefits program for transit and parking expenses, • Support When You Need It: Access confidential counseling, support services, and resources through our Employee Assistance Program, • A Chance to Spread the Word: Share the love and earn rewards by referring awesome folks to join our team, • A Big Tent: We're all about creating a diverse and inclusive workplace where everyone feels valued, respected, and heard, • Mission-Fueled Culture: Join a team that's passionate about making a difference and guided by values like integrity, compassion, and innovation EQUAL EMPLOYMENT OPPORTUNITY At the National Kidney Foundation, diversity, inclusion, and equal opportunity apply to both our workforce and the communities we serve as they relate to kidney health and kidney disease prevention. It is the policy of NKF to provide equality of employment opportunity regardless of race, creed, color, qualified handicap or disability, national origin, religion, marital status, sexual orientation, age, gender, political affiliation or veteran status, or any other factor or reason prohibited by relevant local, state, and federal fair employment laws. The Equal Employment Opportunity policy will apply to all employment practices of NKF, including, but not limited to, recruitment, hiring, promotion, training, compensation, benefits, layoffs, transfers, and discipline. Implementation of the Equal Employment Opportunity policy is the shared responsibility of the management of NKF. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The National Kidney Foundation does not accept resumes from third-party recruitment/search firms. Please do not forward resumes to NKF employees, company locations, or email addresses. NKF is not responsible for any fees related to resumes not solicited by NKF Recruiting. WORKING CONDITIONS, EQUIPMENT USED AND SPECIAL INFORMATION Must have unimpeachable integrity and trustworthiness while possessing a high degree of tact, discretion and professionalism. Maintain effectiveness under pressure. Competent in the use of standard office equipment, including telephone, personal computer, fax machine, and photocopier. Flexible for moderate overnight business travel which may include weekends. DISCLAIMER The above statements are intended to describe the general nature and level of work being performed by people assigned to this position. They are not intended to be considered an exhaustive list of all responsibilities, duties and skills required. The salary band listed reflects the range for this position. Actual compensation will be determined based on the selected candidate’s experience, qualifications, and other relevant factors.

Description We are seeking an experienced bioinformatician for the Tisch Cancer Center Bioinformatics for Next Generation Sequencing (BiNGS) shared resource facility, to lead transcriptomics and epigenetics data analysis projects in Cancer biology. The mission of BiNGS is to enhance scholarship and facilitate NGS data analysis in the ISMMS community by providing access to state-of-the-art tools and training. The BiNGS staff support a broad range of bioinformatics analyses for multiple applications spanning bulk ATAC-, RNA-, and ChIP-seq, CUT&RUN and HiC, single cell ATAC- and RNA-seq, single cell Multiome and Spatial Transcriptomics, WGS and WES. BiNGS further provides services for data management, bioinformatics tools development, access to biocomputing resources, web-based app development, and advanced computational training in data analysis. We are focused on delivering a comprehensive, rapid and user-friendly service. More specifically, we are working on multiple projects together with PIs in the Tisch Cancer Center and the broader Mount Sinai community to analyze NGS related datasets. For example, we are working to understand the role of RAS mutations in the development of Leukemia utilizing single cell RNA- and ATAC-seq; understand the role of histone variants in cancer development utilizing enhancers analysis, transcriptomic analysis, open chromatin analysis and transcription factor network analysis; in another project, we are utilizing bulk and single cell, and spatial transcriptomics to understand breast cancer metastasis to bone. Finally, we are utilizing FIBER-seq (third generation PacBio long read sequencing), to better understand how chromatin remodelers shape the chromatin landscape. We are seeking a highly motivated senior Bioinformatic Scientist who wants the opportunity to significantly impact the growth and success of our research programs, the bioinformatics core and the services we provide. The candidate will work closely with investigators to facilitate and enhance the processing of their projects. Commitment to accuracy, high attention-to-details, and ability to work independently are critical competencies for the role. The ability to lead projects and a team of bioinformaticians is a must. We feel that BiNGS presents a unique opportunity for senior bioinformaticians who seek to expand their data analysis skills; their understanding of transcriptional and epigenetic programs and their role in driving cancer initiation, progression and metastasis, and other diseases; their ability to communicate science clearly and efficiently; their ability to lead a small team of junior of bioinformaticians, and their involvement in reducing racial bias in science through mentorship of URM in Science. Responsibilities • Execute computational analysis for bulk RNA- and ATAC-seq, scRNA-seq, scATAC-seq, and scMultiome., • Developing, tracking and reporting of ongoing projects including presentation of analysis progress in internal meetings and communications with PI to present results, interpret data and come up with new hypotheses., • Integrate data across different datatypes and from publicly available resources (e.g., ENCODE and TCGA), with experimental data generated by PIs. For example, correlation with gene expression signatures, and Histone PTM enrichment analysis. The ideal candidate will be able to navigate the available datasets and extract meaningful data based on the system he/she works on., • Provide analyses and visualization for presentations and publications., • Participate in the implementation of new software tools (e.g., MOFA and SNF) to process, analyze and visualize high-throughput multidimensional sequencing data. The candidate will be required to identify the main requirements based on relevant questions, identify available tools, implement and test., • Manage data and interactive tools on local HPC and commercially available clouds preferably Amazon Web Services. The candidate will execute all data analysis on HPC using bash and manage the storage and archiving of all NGS datasets on the MSSM HPC. Further managing of our HTML reports will be done on Amazon cloud, • Provide training to TCC investigators and trainees. Qualifications • M.S. in Bioinformatics, Biomedical Informatics, Computational Biology, or Genomics. Alternately, M.S. in a discipline requiring strong computational and analytical skills supplemented with some biology exposure. Ph.D in a related field preferred. Those with a Bachelors degree and additional post-graduate experience are considered., • 2+ years post-graduate experience in a research environment, including the manipulation of large biological datasets., • Advanced knowledge of genetics and/or statistical analysis software and online resources. Experience in programming environments such as MatLab, R statistical package, BioConductor, Perl and C++. Preferred Skillset • MSc or PhD in bioinformatics, computer Sciences or related fields, • Proven experience in analyzing bulk RNA- and ATAC-seq, scRNA-seq, scATAC-seq, and scMultiome, • Proven experience with Python, R and Linux. Additional experience with standard genomics tools for high-throughput sequencing data analysis (e.g. Bowtie2, Cellranger, Samtools, STAR, MACS2, Seurat, Signac, Cicero, Chromvar, Scenicplus and the UCSC genome browser)., • Experience with markup languages such as HTML is preferred., • Proven ability to work on the AWS cloud., • Experience in bash HPC cluster environment with a parallel file system., • Proven ability to research, analyze, recommend, communicate, and implement solutions., • Good understanding of chromatin biology, and NGS technologies, • Must be able to work as an individual while part of a small team. Compensation Statement The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $65,885.00 - $100,000.00 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. Non-Bargaining Unit, 824 - Oncological Sciences - ISM, Icahn School of Medicine Employer Description Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.

A quantitative trading firm is hiring a senior Machine Learning Researcher to work at the centre of financial trading itself, analyzing systematic trading data and building models alongside some of the strongest technical talent in the industry. The team you'd join is built from people who came out of serious research environments, PhDs and postdocs from places like MIT and other top research universities, who made the leap from academic or industrial research into quant trading and now apply that same rigour to markets. This is a hands-on role for someone who has already led real work, not just contributed to it, where every idea gets tested against hard problems and judged by one standard alone: does it move P&L. If you want to see your models shape real trading outcomes rather than sit in a benchmark, and want to do that work alongside people who've made that same jump themselves, this is that kind of seat. What you'll do: • Develop and improve machine learning models as part of a small, technical team, with your work judged on one clear standard: whether your model moves P&L., • Use statistics, machine learning, deep learning, and NLP to extract patterns from various kinds of datasets through innovative and rigorous research., • Lead or work closely alongside a team, bringing your own ideas and driving them from concept through to a working, tested model., • Test ideas against real feedback quickly, this is not an environment where a model waits months to find out if it worked., • Work with proprietary data at petabyte scale that exists only within this firm, unseen by any outside model or team. Your profile: • Senior-level experience, either leading a team directly or working in close technical partnership with one, with a track record of models you've built that had real, demonstrable impact., • Strong proficiency in Python, C++, and PyTorch., • At least 6 years working in the software industry., • A PhD or Master's degree in computer science, machine learning, statistics or a related quantitative field., • Must be eligible to work in the United States. Preferable: • Published research, open-source contributions, or other public evidence of original technical work, though shipped, unpublished results carry equal weight., • Experience in the financial sector, ideally having worked closely with a Portfolio Manager or trading desk to develop models that sharpened alpha or directly improved P&L. Pre-Application: • Please do not apply if you're looking for a contract or remote work., • You must be eligible to live and work in the US, without requiring sponsorship., • Please ensure you meet the required experience section prior to applying., • Allow 1-5 working days for a response to any job enquiry., • Your application is subject to our privacy policy (_). Why this role: Competitive compensation, a feedback loop measured against real trading outcomes rather than a slow release cycle, and access to petabyte-scale proprietary data no other firm or model has ever touched. This is technical leadership on models that matter immediately, not research that sits in a queue.

Are you the kind of person who genuinely enjoys solving problems, and wants to do it inside a company that's moving fast? Do you want to shape a function as it's being built, learn how a real AI product works, and be in the room when decisions get made? This is your chance to join a rocket ship. We are looking for sharp, high-agency people to be the first line of support for our customers. You'll be joining the most lean, talent-dense, and fast-moving teams working alongside our attorneys, AI engineers, and GTM team to keep the bar on customer experience extraordinarily high. Our customers are patent attorneys at top law firms and in-house IP teams at some of the largest companies in the world. They are demanding, technical, and short on time. Today, a lot of their support tickets land on the desks of attorneys and engineers who should be building product. That doesn't scale, and it doesn't give customers the speed they deserve. You will fix that. You'll be responsible for: • Owning the first response on every inbound support ticket, across email, in-app chat, and Slack Connect channels., • Resolving the bulk of incoming tickets yourself: login issues, browser problems, account configuration, basic product questions, and walk-throughs of how to use Solve., • Triaging and routing complex tickets to the right attorney, AI engineer, or GTM owner with enough context that they can act immediately., • Building the playbook: writing the help docs, recording Loom walk-throughs, and turning recurring questions into self-serve answers so customers stop needing to ask., • Feeding customer insights back into the product. You'll be sitting on the patterns nobody else sees, and we want you in the room when we decide what to fix next., • Working closely with our customer-facing attorneys and CSMs to make sure customers feel looked after end to end., • Helping us figure out what good customer support looks like at Solve, then making it real. This is a dedicated customer support role, the first of its kind at Solve. Some of the work is genuinely grunt work. The trade is that you get to shape how customer support runs at Solve, in a company where every hire is treated as a multiplier. We're open about your background. We've identified two profiles that may work well for this role: • Paralegals or legal operations specialists with IP or patent exposure, comfortable in technical environments, and ready to build something with real ownership. The common thread is having a builder mentality. You should be the kind of person who fixes the thing rather than logs it. Essential: • Genuine interest in customer experience, and evidence you've cared about it before. This might be a startup you've worked at, a side project, or a role where you've owned support, customer success, or service delivery directly., • Strong written communication. Most of your work will be written, and our customers are precise about language., • High agency. You spot the gap, you close it. You don't wait for someone to tell you what to do., • The ability to hold a high bar under pressure. Some tickets will be from senior partners at top firms. They expect speed, accuracy, and tone calibration. Nice to have: • Paralegal qualifications or experience inside a patent practice (USPTO, EPO, or UK). Or a computer science, engineering, or hard-science degree., • Experience with support tooling (Intercom, Zendesk, Linear, Pylon, or similar)., • Familiarity with AI products, prompt design, or evaluation workflows., • Comfort with technical products. You don't need to code, but you need to be able to read a stack trace, understand what a browser console is telling you, and learn the inner workings of a complex SaaS product quickly. Competitive base salary depending on skill and experience. Significant equity we want you to take ownership in Solve Intelligence and share in the success that lies ahead. Full visa sponsorship. Opportunity to work with a super smart and ambitious group of people building something people want. Private medical insurance. Free meals. Solve Intelligence is the fastest-growing startup transforming the IP landscape. Solve's AI platform manages everything from invention harvesting and patent generation through to litigation and licensing. Growth: 2030% MoM revenue growth; selling to 600+ global IP teams across 6 continents (DLA Piper, tech giants, boutiques, etc); 8 figures of ARR all just ~2 years since we started. Backing: $55M backing from YC, 20VC, Microsoft, Thomson Reuters, and the founders of top companies like Stripe, Perplexity, Tinder, Deel, Hugging Face, and Canva. Impact: 5090% efficiency and quality improvements. We're on a high-growth trajectory, and we're looking for people who want to join us on the journey to building a generational AI company. Come join the rocket ship Sanj (Chief Research Officer and co-founder): Sanj did his MSci in Physics at the University of Cambridge and his PhD in AI at the Gatsby Unit, UCL. He won awards at top AI conferences, worked on the R&D team at Huawei, and received widespread attention for his contributions to open-source LLM projects on GitHub. He joined Magic Carpet AI as employee #4, where he developed AI strategies for trading, before the company was acquired. Chris (Chief Executive Officer and co-founder): Chris did his undergrad at Imperial College London, his masters at the University of Cambridge, and his PhD in machine learning at UCL, during which he published 10+ papers and won awards at top AI conferences and journals. Prior to founding Solve, Chris worked at The Alan Turing Institute, InstaDeep, and Dyson. Angus (Chief Technology Officer and co-founder): Angus holds an MEng in Computer Science. He led trade platform development at Coremont after roles at GCHQ and Qualcomm.

As a principal machine learning engineer, you will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on Airbnb’s ML Infrastructure. PhD in Computer Science, Machine Learning, Mathematics, Statistics, or related tech

Job Description Location: New York Office Duration: Summer 2027 (4 weeks) Department: DV Securities Liquid Products Group About DV Securities: DV Securities is a registered broker-dealer and a member of both FINRA and FICC, with a core focus on fixed income markets. We are active participants in the U.S. Treasury and agency MBS repo markets, supported by a growing platform that facilitates both principal and riskless principal trading activity. The firm is rooted in a culture of innovation, excellence, and collaboration. As part of the broader DV ecosystem—a global network of trading firms active across futures, equities, and structured products—DV Securities benefits from the reach and resources of a multi-asset organization with offices in North America, Europe, and Asia. Joining DV Securities means becoming part of a forward-thinking, agile team that values initiative, adaptability, and a commitment to performance in an ever-evolving financial landscape. Overview: We are seeking a highly motivated Futures & Options Trading Analyst Intern with a strong background in Financial Engineering, Quantitative Finance, Mathematics, or a related field to support our derivatives trading desk. This internship offers hands-on exposure to futures and options markets, quantitative modeling, and real-time trading operations. The intern will work closely with traders and quantitative researchers to analyze market data, evaluate trading strategies, and assist in risk management activities. Key Responsibilities: • Conduct quantitative analysis of futures and options markets across asset classes (equities, rates, FX, commodities), • Assist in developing and backtesting trading strategies, • Analyze implied volatility, option Greeks, and volatility surfaces, • Monitor market movements, news, and macroeconomic indicators, • Support real-time trading decisions with data-driven insights, • Build dashboards, reports, and analytical tools, • Perform statistical analysis of historical market data, • Assist with position monitoring, P&L tracking, and risk reporting, • Identify pricing anomalies and relative-value opportunities, • Document models, methodologies, and findings Required Qualifications: • Currently pursuing a Bachelor's, Master's, or PhD in:, • Financial Engineering, • Quantitative Finance, • Mathematics / Applied Mathematics, • Statistics, • Physics, • Computer Science, • Economics (quantitative track), • Strong understanding of derivatives (futures and options), • Solid foundation in probability, statistics, and linear algebra, • Proficiency in Python (NumPy, Pandas, SciPy, Matplotlib or similar) or R or C++, • Ability to work with large datasets, • Excellent analytical and problem-solving skills, • Strong communication and teamwork abilities Preferred Qualifications: • Knowledge of option pricing models (e.g., Black-Scholes, binomial trees), • Familiarity with volatility modeling and Greeks, • Experience with time-series analysis or machine learning, • Exposure to financial markets and trading concepts, • Experience with SQL, R, or C++, • Familiarity with Bloomberg or other market data platforms What You Will Gain: • Direct exposure to professional trading environments, • Mentorship from experienced traders and quantitative analysts, • Hands-on experience with real market data, • Understanding of risk management and portfolio construction, • Opportunity to contribute to live trading strategies, • Potential pathway to full-time roles Compensation rate: $18.75/hr DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV's posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

If you are a current Jazz employee please apply via the Internal Career site. \n Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases — often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit www.jazzpharmaceuticals.com for more information. \n\n Medical Science Liaisons (MSLs) are part of a field-based team of scientists who function as externally facing members of the US Medical Affairs organization. MSLs are responsible for developing and enhancing professional relationships with medical thought leaders involved in various phases of product development and use of medications for patients. MSLs provide medical information through scientific exchange, and clinical/scientific support for Jazz Pharmaceuticals and the Medical Affairs department. \n This is a field-based position covering the Northeast (NY, CT, RI, MA, NH, VT, and ME). It requires professionals with established personal and scientific credibility to interact with scientific leaders and healthcare providers. \n Essential Functions \n KOL Development and Field Engagement \n \n • \n Identify and develop peer-to-peer relationships with key opinion leaders (KOLs) and healthcare providers within the hematology/oncology therapeutic area \n • \n Develop and execute territory plans in alignment with US Medical Affairs plans \n • \n Identify and communicate key clinical and research issues and insights from KOLs to appropriate departments \n • \n Participate in medical education for healthcare professionals (HCPs) through on-site presentations at healthcare institutions, investigator meetings, national conferences, advisory boards, or regional meetings \n • \n Provide support for additional field activities such as medical congress staffing and advisory boards. \n \n Positions self as Scientific Expert \n \n • \n Maintains an up to date and high-level knowledge of the therapy area, Jazz products, new and emerging areas of research, therapeutic barriers and trends, and competitive landscape \n • \n Establishes reputation as a trustworthy and knowledgeable source of scientific and medical information for the healthcare community \n • \n Supports development of Jazz Pharmaceuticals positioning as a scientific authority in hematology/oncology. Attends appropriate scientific congresses to stay abreast of developments and to support Regional, National and local KOL activities and Jazz interests \n • \n Acquires a broad understanding of local and national protocols and standards of clinical practice and trends in disease management in the US \n • \n Provide clinical presentations and information in response to unsolicited questions (as appropriate) in academic, community, and healthcare provider settings in both group and one-on-one situations \n • \n Communicates emerging data and the clinical experience with our products through scientific exchange and peer-to-peer interactions discussing benefits and risks in an objective manner \n • \n Provides scientific support for additional activities such as medical congress staffing, advisory boards, and sales training initiatives \n \n Medical Affairs Planning and Plan Execution \n \n • \n Contributes to the development of the US Medical Plan and provides input into local strategies and tactics \n • \n Where needed, manages relevant budget to enable execution of Medical Plan tactics as part of the wider Medical Affairs team \n • \n Works in a collaborative manner with cross-functional colleagues to ensure a Key Account Management approach \n • \n Interacts with HCPs as a scientific resource to support activities aligned with the Medical Plan including advisory boards, speaker development and clinical trials \n \n Responsible for maintaining Company standards and Jazz Values \n \n • \n Consistently acts to enhance Jazz Pharmaceuticals’ image as an advocate of medical advancement by using knowledge of product, disease state and pipeline products to engage healthcare providers in meaningful scientific exchange of information \n • \n Document and forward reports of adverse events and product complaints according to Jazz’s policy to ensure safe and effective use of Jazz Pharmaceuticals' products \n • \n Adheres to the relevant national and local Codes of Practice \n • \n Behaves ethically and with integrity at all times \n • \n Acts as an ambassador for Jazz Pharmaceuticals following company mission and values \n • \n Keeps own written development plan and implements \n • \n Prepares timely reporting according to the company needs \n \n Required Knowledge, Skills, and Abilities \n Required \n \n • \n Ability to research and critically analyze and communicate complex scientific and medical information and data \n • \n Clear and concise communication and presentation skills \n • \n Excellent planning and organization skills, with high-level attention to detail and accuracy \n • \n Strong strategic mindset \n • \n Highly self-motivated and ability to work autonomously \n • \n Ability to learn quickly, be flexible and results-focused in a rapidly changing environment \n • \n Excellent negotiation skills \n • \n Demonstrated skills in inter-personal relationship building, networking, collaboration, and teamwork \n • \n Strong capabilities working with digital platforms and tools are required \n • \n Excellent command of spoken English \n \n Preferred \n \n • \n Knowledge of geography, healthcare environment and external experts in academia and medical community \n • \n Demonstrated ability to develop trust and relationships with opinion leaders in disease states of interest \n • \n Understanding of regulatory requirements for field-based personnel \n \n Required/Preferred Education and Licenses \n \n • \n Advanced degree (PharmD, MD, PhD or equivalent) with a minimum of 3 years’ experience in hematologic malignancies \n • \n License (RN, NP, CNP, PA or equivalent) with a minimum of a Master’s Degree (or equivalent) and a minimum of 5 years’ experience in hematologic malignancies \n • \n A minimum of 2 years’ experience as an MSL or comparable industry or clinical role is required \n • \n A demonstrated track record of success in hematologic malignancies is strongly preferred \n • \n This is a field position and applicants must be willing to travel ~60% of time \n • \n Valid driver’s license and live in a proximity of a major airport \n \n Description of Physical Demands \n \n • \n Frequent travel between meeting sites \n • \n Frequently operating a computer, printer, telephone, and other similar office machinery \n \n Description of Work Environment \n \n • \n Frequent interactions with external contacts in their office environment with little exposure to excessive noise, dust, fumes, vibrations, and temperature changes \n • \n Frequent computer laptop or tablet use, not usually at a workstation \n • \n Responsibilities may require a work schedule that may include working outside of “normal” work hours, in order to meet business demands \n • \n Frequent public contact requiring appropriate business apparel \n \n #LI-Remote \n\n Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. \n FOR US BASED CANDIDATES ONLY \n Jazz Pharmaceuticals, Inc. is committed to fair and equitable compensation practices and we strive to provide employees with total compensation packages that are market competitive. For this role, the full and complete base pay range is: $160,000.00 - $240,000.00 \n Individual compensation paid within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, and other pertinent factors. The goal is to ensure fair and competitive compensation aligned with the candidate's expertise and contributions, within the established pay framework and our Total Compensation philosophy. Internal equity considerations will also influence individual base pay decisions. This range will be reviewed on a regular basis. \n At Jazz, your base pay is only one part of your total compensation package. The successful candidate may also be eligible for a discretionary annual cash bonus or incentive compensation (depending on the role), in accordance with the terms of the Company's Global Cash Bonus Plan or Incentive Compensation Plan, as well as discretionary equity grants in accordance with Jazz's Long Term Equity Incentive Plan. \n The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, 401k retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: https://careers.jazzpharma.com/benefits.html.

We are working with a tier-one trading firm building a new Machine Learning Research team. PhD in Machine Learning, Computer Science, Statistics or a closely related field.

A PhD or Master's in machine learning, computer science, mathematics, statistics or physics.

We are working with a tier-one trading firm building a new Machine Learning Research team. PhD in Machine Learning, Computer Science, Statistics or a closely related field.

A PhD or Master's in machine learning, computer science, mathematics, statistics or physics.

We are working with a tier-one trading firm building a new Machine Learning Research team. PhD in Machine Learning, Computer Science, Statistics or a closely related field.

A PhD or Master's in machine learning, computer science, mathematics, statistics or physics.

Territory: New York City and Long Island, NY Are you looking for a new opportunity in a fast growing market space, where innovation and forward thinking is rewarded, diversity is valued, and you make a difference in the lives of others? At Oma Fertility, an Oma Robotics brand, we believe in a world in which everyone seeking to have a child can access successful fertility treatment. We're on a mission to empower growing families with science forward, affordable treatment. We've created technology powered by AI that aims to lead to better pregnancy outcomes, built our labs to meet the most rigorous standards, designed a care approach that's personalized and personable, and are committed to ethical pricing. This mission was the catalyst to secure financial backing to both develop the technology and open our own Oma Fertility clinics throughout the US. Recently named to Insider's list of the 34 Most Promising Women's Health Startups of 2022, this is a rare opportunity to join a team changing one of healthcare's most important and human-centered services. We're seeking a Physician & Community Liaison (PL) to join our Marketing team and play a key role in our growth and local market outreach in St. Louis, MO and Atlanta, GA. We aren't putting the same old fertility experience behind a shiny new waiting room and that same mentality goes for this role and how we bring awareness to and develop a patient referral source network. Reporting to the Director, Clinical Marketing, this is an ideal opportunity for someone who isn't afraid to break the norm and help forge a new path forward. This full-time role is a blend of sales, marketing, and educational activities and tactics and the ideal candidate will help define this role and set the foundation for Oma's future growth. This person will be responsible for driving awareness of Oma Fertility in the local communities, building relationships with referral sources, and ultimately driving new patient visits. • Introduce Oma Fertility to potential referral sources including physicians/clinical staff, complimentary service providers, and community organizations via in person visits and other means, • Demonstrate we are at the forefront of the fertility space by highlighting what makes us different from other fertility clinics and by providing value and education to referral sources, their employees, and patrons, • Help strategize and execute referral source sales/marketing plan to reach target audiences in designated territories by identifying opportunities, qualifying referral sources and receiving patient referrals, • Create and maintain a territory action plan, inline with the sales/marketing plan, to maximize coverage of the territory and systematically identify new opportunities, maintain and build relationships, and proactively address any issues/declines in referrals, • Overcome objections, build credibility and long-term relationships with referral sources while looking for ways to enhance the referral source experience, • Coordinate Oma Fertility hosted events including: provider meetings, educational events, dinner presentations, tours, etc. to provide referral sources face-to-face interaction with our team, • Represent Oma Fertility at local community events where our target audiences will be with the goal of creating awareness and reaching potential new patients, • Help build and maintain our CRM database, track activities and opportunities, utilize dashboards & other reporting tools to plan and evaluate overall successes and areas in need of improvement, • Support the development and growth of the sales/marketing team and plan with other miscellaneous tasks as needed to help drive new patient visits, • 3+ years of proven success in an outside sales role in the healthcare field, preferably in women's health (technology experience/sales a plus), • Excellent interpersonal skills utilizing a consultative sales approach with the ability to communicate complex information in a manner that reflects the audience's level of understanding, • A self-starter who thrives in a fast-paced startup environment, can work independently and has strong time management skills to maximize effectiveness, • Creative thinker who isn't afraid to collaborate with internal teams, experiment, learn and incorporate new ideas into their role/strategies, • Detail oriented with a willingness to use CRM on a daily basis to track all activities, monitor results, and make adjustments as needed, • Represent Oma Fertility with the utmost professionalism, protecting patient confidentiality, following company policies/procedures and safeguarding confidential and proprietary information, • Reliable transportation (in your home base market) as this is primarily an outside sales position with little time spent in the office, • The ability to travel ~50% to other market(s) assigned to your territory (transportation needs/expenses covered by company), additional markets/territory realignments are possible dependent on company growth, • Some nights and weekends will be required to accommodate specific events, • BS/BA preferred, equivalent work experience, • Base salary + monthly/quarterly incentive based bonuses., • Full health benefits (medical, dental, vision, HSA) and 401k match program, • Paid holidays, PTO, sick time, and parental leave, • Company provided computer, smartphone and car allowance, • Expense budget for travel and referral source outreach purchasing needs Oma Fertility, a division of Oma Robotics, was founded in 2020 by a team of engineers, AI experts, and fertility specialists who believe that combining AI and robotics in the lab and human-centered care in the clinic will make parenthood possible for more people. The company's first innovation is Oma Sperm InSight, which uses AI to help pinpoint the most promising sperm cell for use in IVF. Oma Fertility opened its first fertility clinic in Santa Barbara, California, in 2021 and has plans to expand nationally through 2023. The company was founded in 2020 by Gurjeet Singh, PhD previous founder of Ayasdi, Dr. Sahil Gupta previous founder of Aveya Fertility, and Kiran Joshi, PhD previous founder of Koko. www.omafertility.com To find out more: If you have this experience, are curious and intrigued but would like to learn more, please send your Linked-In profile or a brief overview of your experience and let's schedule a 30-minute chat. Our Company is an equal opportunity employer. Employment and processes, including decisions to hire, promote, discipline, or discharge, are based on merit, competence, performance, and business needs. We do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. Our Company requires those hired into this position to provide proof that they have received the COVID-19 vaccine. Any individuals subject to this requirement may submit for consideration a request to be exempted from the requirement (based on a valid religious or medical reason) on forms to be provided by Our Company. Such requests will be subject to review and approval by Our Company, and exemptions will be granted only if Our Company can provide a reasonable accommodation in relation to the requested exemption. Note that approvals for reasonable accommodations are reviewed and approved on a case-by-case basis and availability of a reasonable accommodation is not guaranteed. This vaccination requirement is based, in part, on recently established government requirements. The requirement is also based on the safety and effectiveness of the vaccine in protecting against COVID-19, and our shared responsibility for the health and safety of patients, colleagues, and community. Employment is also contingent upon successful completion of a background check.

A PhD or Master's in machine learning, computer science, mathematics, statistics or physics. You want to be the least experienced person in the room some days, because that is where the learning is.

Systematic Equity Stat Arb Quantitative Researcher A leading systematic multi-strategy hedge fund is expanding its systematic equity team and is seeking a talented Quantitative Researcher with a proven track record in statistical arbitrage strategy development. This is a unique opportunity to join a high-performing team focused on developing and scaling alpha-driven strategies across global equity markets. Key Responsibilities • Conduct alpha research, backtesting, and implementation of systematic stat arb strategies, • Design and develop new quantitative trading models across global equity markets, • Optimize portfolio construction and enhance existing trading strategies, • Leverage big data and machine learning techniques to uncover new signals, • Collaborate with other researchers, engineers, and portfolio managers in a fast-paced environment Ideal Candidate Profile • 5+ years of experience developing systematic statistical arbitrage strategies in equity markets, • Advanced degree (MSc/PhD) in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Engineering) from a top-tier university, • Strong foundation in mathematics, statistics and signal generation techniques, • Proficient in Python and/or C++ for research and model implementation, • Experience with backtesting, simulation frameworks and large-scale data analysis, • Exposure to machine learning and alternative data is a strong plus

We are working with a tier-one trading firm building a new Machine Learning Research team. PhD in Machine Learning, Computer Science, Statistics or a closely related field.

PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics or a related discipline, with a focus on deep learning. A leading global multi-strategy hedge fund is seeking a Machine Learning Research Scientist to join a newly formed systematic equities investment team based in New York.

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. In this role, you will own the product strategy for Frontier Model Protection. As foundation models achieve reasoning and multimodal capabilities, safeguarding our innovations against model extraction, unauthorized distillation, and intellectual property theft is a priority for national security and safety. You will set the goal, governance, and defense architectures that keep our models resilient. The "product" is the model protection posture and runtime defense suite that safeguards Google DeepMind's research assets while balancing business growth and developer innovation. You will lead through strategy, executive alignment, and measurement. You will define how to protect model intelligence, and own trade-offs between defense posture, utility, developer experience, and commercial momentum. You will represent Google DeepMind externallyshaping safety strategies with government stakeholders and peer labs to establish safety benchmarks and evaluation standards. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $300000 - $333000 (USD) + 25% bonus target + equity + benefitsLearn more about benefits at Google. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA. • Bachelor's degree or equivalent practical experience., • 10 years of experience in product management or a related technical role., • 5 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.)., • Master's degree, MBA, or PhD in Computer Science, Machine Learning, Cybersecurity, Business, or a related field., • Direct domain experience in AI security, model defense, anti-distillation techniques, adversarial ML, and model extraction threat modeling., • Familiarity with emerging AI governance frameworks, LLM security standards (e.g., OWASP Top 10), and external safety coalitions., • Proven track record of collaborating directly with PhD-level researchers to transition novel algorithmic discoveries into low-latency, production-hardened systems., • Define the multi-year product goal and strategic roadmap for frontier model protection and anti-distillation defenses across Google DeepMind., • Establish policies and runtime guardrails to balance rigorous IP defense against developer friction, model utility, and commercial growth objectives., • Develop quantitative evaluation frameworks and telemetry to measure defense efficacy and continuously validate complex trade-off decisions., • Partner with researchers and engineers to translate breakthroughs in watermarking and query analysis into globally scalable, production-grade defenses., • Secure executive alignment and lead technical engagement with peer labs and AI Safety Institutes to establish shared evaluation benchmarks.