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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. Position Overview: Thea Energy is hiring for a Director - Nuclear Engineering to lead our nuclear engineering team. This role will orchestrate the nuclear design and safety parameters essential to our first-of-a-kind integrated fusion system. You will be responsible for effectively leading and managing the day-to-day nuclear engineering program. Your efforts will directly contribute to the organization's success by ensuring safe, compliant, and efficient nuclear designs. Thea Energy’s dynamic team is made up of self-motivated individuals with an excitement for solving complex problems. Key Responsibility Areas: • Lead and grow a world-class team of nuclear engineers working on the cutting edge of commercial fusion power technology., • Direct the nuclear design of fusion systems, including blanket, shield, bioshield, and fuel cycle., • Manage the nuclear aspects of the system facility, including tracking and engineering the cascade of high-energy particles, managing activation products, and calculating dose rates., • Interface all aspects of safety, regulatory compliance, and environmental standards for the fusion device and facility., • Build organizational capabilities by recruiting and retaining talent, mentoring, and fostering professional growth., • Proactively collaborate and communicate with engineering system owners to prioritize and align development and execution with design schedules., • Be accountable for the quality and accuracy of the team's nuclear engineering work, reports, and presentations.Ideal Experience & Skillsets:, • MS or PhD in nuclear engineering., • 15+ years of work experience in nuclear engineering or a similar technical field., • Proven leadership experience in cutting-edge nuclear projects, such as fission reactor projects (e.g. small modular reactors, molten salt reactors, fast reactors, Gen-IV reactors) or accelerator projects., • Demonstrated experience thriving in a startup environment, with a track record of successfully building and managing teams., • Strong analytical skills and an understanding of the first principles of engineering., • A proven ability to motivate and catalyze teams into action through influence and strong leadership., • Excellent oral, written, and interpersonal communication skills, with the ability to translate complex business needs into technical solutions.Company Benefits:, • Salary range: $160,000-$230,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTO 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 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. Position Overview: We are seeking a highly motivated Computational Nuclear Engineer to join our team, focusing on neutronics and multiphysics simulations for stellarator fusion systems. The ideal candidate will possess a strong background in computational transport methods, with a particular emphasis on multiphysics reactor design, dose rate calculations, and radiation shielding optimization. You will work with minimal supervision, contributing to cutting-edge research and development to ensure the safety and performance of Thea Energy’s stellarator systems. Key Responsibility Areas: • Develop and implement advanced workflows for high-fidelity neutronics and related multiphysics simulations in complex 3D stellarator geometries., • Conduct simulations of fusion blanket performance, including tritium breeding ratios (TBR), energy deposition, material activation, radiation shielding, and more., • Collaborate with cross-disciplinary teams to perform multiphysics coupling (e.g., neutronics to thermal-hydraulics or structural analysis) to refine reactor designs., • Perform dose rate calculations and design optimized shielding solutions for personnel and sensitive equipment., • Prepare technical reports, presentations, and publications based on simulation results and optimization findings. Ideal Experience & Skillsets:, • PhD in Nuclear Engineering, Computational Physics, Applied Physics, or a related field with 2+ years of experience; or a Master’s degree in a relevant field with 4+ years of experience., • Strong knowledge of Monte Carlo radiation transport codes (e.g., OpenMC, MCNP, Serpent)., • Proficiency in programming languages commonly used in scientific computing, specifically Python and C++., • Proficiency in modern scientific software development best-practices (e.g. git, GitHub, CI), • Experience in multiphysics coupling frameworks (e.g., MOOSE, Cardinal, NekRS)., • Excellent analytical, problem-solving, and communication skills. Preferred Skills:, • Experience with nuclear data processing and libraries (e.g., NJOY). Experience with deterministic neutron transport solvers (e.g. Atilla, OpenSN), • Familiarity with High-Performance Computing (HPC) environments and parallel programming (MPI/OpenMP)., • Background in applying machine learning techniques to optimize nuclear simulation results or data handling., • Understanding of fusion-specific nuclear challenges, such as first-wall material damage and tritium fuel cycle management. Personal Attributes:, • Ability to work independently and manage projects with minimal supervision in a startup environment., • Strong attention to detail and a passion for advancing the field of fusion energy research., • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally., • Persistent optimism and a willingness to take on tough challenges., • Excited to think creatively about solutions to difficult problems and not relying solely on what has been done before. Company Benefits:, • Salary range: $120,000-$180,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTO 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 DescriptionAbout Dyania Health Dyania was born with the mission to find clinically critical and relevant insights buried within electronic medical records and release these insights to inform and drive clinical care and clinical research. Our vision is to make sure every patient gets the right care at the right time based in medical decisions precisely informed by their own data. Each patient’s medical record would take a provider nearly 2 hours to read once, let alone read again and again for all the updates cumulated over time. It would be humanly infeasible to achieve even if there was an army of available human clinicians with time that they could spare. Moreover, if so much of medicine is undiscovered, how is an AI model meant to reason appropriately if humans do not know or agree on the right answer? What does high performing reasoning mean in a world of discord and vagueness? Synapsis AI is the answer. At Dyania Health, we built Synapsis AI over years of AI research, clinicians annotating data and real world tests to acutely understand and overcome every challenge at the point of care. The reason why we became obsessed with solving this problem has its roots in the very core of what is an innately human problem. The Role We are seeking a Staff or Senior Staff Research Scientist to lead the design, development, and implementation of advanced AI/ML and LLM-based models for clinical data understanding. This is a senior, hands-on research role. You will build and customize models, design architectures, and drive ML innovation from concept through production. This is not a data science or analytics role—we are looking for someone who deeply understands how models work internally and can independently solve complex, open-ended problems. Leveling is based on experience: • Staff Research Scientist: 7+ years of relevant experience, • Senior Staff Research Scientist: 10+ years, including technical leadership responsibilities What We’re Looking For • A senior researcher who builds models, not dashboards, • A hands-on technologist who understands model architecture, training, and optimization, • Someone who can define strategy, lead initiatives, and still write production-quality code, • A strong independent problem solver comfortable with ambiguity and research-driven development, • A technical leader who can mentor others while delivering individually Key ResponsibilitiesResearch, Development & Implementation • Design, build, train, and deploy AI/ML and LLM-based models, • Own the full model lifecycle: problem definition, research, prototyping, training, evaluation, and deployment, • Apply strong understanding of ML and AI fundamentals to real-world biomedical problems, • Develop and optimize models using Python and modern ML frameworks, • Research emerging techniques and propose innovative solutions aligned with product and business needsProblem Solving & Strategy, • Independently analyze complex, ambiguous problems and determine appropriate modeling approaches, • Evaluate and recommend technical solutions and system architectures, • Translate research concepts into scalable, production-ready systems, • Contribute to long-term ML and AI strategy and technical visionLeadership, • Lead cross-project research and development initiatives, • Provide technical mentorship and guidance to junior researchers and engineers, • Establish best practices for experimentation, model development, and deployment, • Influence technical roadmaps and architectural decisions Requirements Required Qualifications • 7+ years (Staff) or 10+ years (Senior Staff) of experience in AI/ML research or ML engineering, • Graduate degree in Computer Science, Engineering, or a related technical field, • Strong hands-on experience building, training, and deploying ML and AI models, including LLMs, • Deep understanding of model fundamentals and architecture design, • Proven ability to solve problems end-to-end, from research through implementation, • Advanced proficiency in Python for model development and training, • Experience customizing models rather than relying solely on pre-built solutions, • Ability to independently research, evaluate, and propose technical approaches Preferred Qualifications • Publication record in top-tier AI, NLP, or ML conferences, • Experience working with EMR or other complex clinical datasets, • Experience with multi-modal AI systems, • Prior senior or lead-level technical experience, • Familiarity with regulatory considerations for clinical AI systems, • Experience contributing to long-term technical strategy or system architecture, • PhD is welcome but not required Team Culture: • We lead with empathy for patients and our teammates, • We value small egos, self-awareness, and humility in our teammates, • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift, • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team, • We value open dialogue and brainstorming across multidisciplinary teams Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Compensation Base salary range: $150,000 – $240,000 per year. The salary range represents Dyania Health's good-faith estimate of the base compensation for this position at the time of posting. Actual compensation will depend on factors such as experience, qualifications, skills, and other job-related considerations. This position may also be eligible for participation in Dyania Health's employee stock option plan. Benefits Benefits available to eligible employees include: • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Life and disability Insurance Work Arrangement Hybrid position requiring approximately 3–4 days per week in our Jersey City, NJ office, with approximately 1 day per week remote.

Job Description Teacher Tutors is hiring part-time Physics tutors to join our team on a flexible basis. We're seeking educators with strong physics backgrounds to support students from high school through the college level. This role is ideal for tutors who are confident across conceptual, honors, and AP Physics (Physics 1, Physics 2, and Physics C), as well as introductory algebra-based and calculus-based physics at the college level, and who enjoy working one-on-one with students. Our students range from those building foundational skills to those tackling honors, AP, and college coursework. Sessions take place in students' homes, at the library, at our Livingston, NJ office, or online. Most of our clients prefer in-person tutoring, so we'd love tutors who are open to offering it. We match families to tutors based on your preferred travel radius—you tell us how far you're willing to drive, and we work within that. Responsibilities • Deliver one-on-one physics tutoring sessions tailored to each student's course, instructor's expectations, and learning goals., • Plan lessons and prepare materials (practice sets, review guides, worked problem sets, free-body-diagram and circuit-analysis practice, lab concept reviews, exam-style questions, and structured exam-prep schedules as test dates approach)., • Build students' fluency with core physics skills and concepts—kinematics, Newton's laws and forces, energy and momentum, rotational motion, oscillations and waves, thermodynamics, electrostatics, circuits, magnetism, and (for calculus-based courses) the calculus underlying them—and their ability to move between different representations of the same idea (verbal, diagrammatic, graphical, and mathematical)., • Track progress across sessions and adjust pacing, materials, and difficulty based on what's working., • Submit a short session note after each tutoring session and flag concerns to our Director early., • Communicate clearly and warmly with parents., • Contribute to our team's shared practice: share what's working, ask questions, and help us keep raising the bar. Requirements • Bachelor's degree in physics, engineering, applied mathematics, or a closely related field. Master's or PhD candidates are welcome., • Demonstrated mastery of physics at the level(s) you'll be tutoring—high school conceptual and honors physics, AP Physics 1, 2, and/or C, and/or college algebra-based and calculus-based physics—with the ability to scale up to more advanced coursework. Comfort with calculus is required for AP Physics C and calculus-based college sequences., • Tutoring, TA, or classroom teaching experience (formal or informal) with students at the relevant grade levels., • Working familiarity with the relevant curriculum standards and exam frameworks (e.g., NGSS and the AP Physics 1, 2, and C course and exam descriptions) and the areas where students most often struggle, such as free-body diagrams, vectors, kinematics graphs, energy versus momentum conservation, and circuits., • Strong communication skills and the patience to work with students who may arrive frustrated, anxious, or burned out after a rough test or assignment., • Ability to plan individualized sessions and adapt in real time when a planned approach isn't landing, including explaining the same concept in multiple ways until it clicks., • Availability for afternoon, evening, or weekend hours during the school year, with extra capacity around exam season and finals., • Comfort with educational technology., • Reliable transportation and a valid driver's license for in-home sessions. Preferred • Strong outcomes with physics students at the subjects and levels you will be tutoring (e.g., grade improvement, AP score gains)., • Background or experience that allows you to support advanced or specialized coursework, such as AP Physics C, calculus-based college physics, or honors-level mechanics and electromagnetism., • Familiarity with the major textbooks and curricula commonly used in these courses, so you can meet students inside the framework their teacher or professor is using., • Real-world or professional experience (academic, industry, or research) that helps you make abstract concepts concrete—for example, connecting mechanics, circuits, or lab technique to engineering or research work you've done., • Bilingual (Spanish, Mandarin, or other languages common in the communities we serve). Benefits Compensation & employment status • Pay range: $40 - $50/hour, based on degree and experience, • W-2 (default): Most part-time tutors join as W-2 employees. Teacher Tutors handles payroll, taxes, and provides liability coverage during sessions., • 1099 (optional): Tutors who prefer 1099 contractor status are welcome, provided they carry their own professional liability insurance and operate through a registered LLC. Documentation will be requested during onboarding. Coverage area We serve families across northern New Jersey, with most in-home sessions concentrated in Essex, Morris, Union, and Bergen counties. When you join, you'll let us know your preferred travel radius from home, and we'll match you with students within that range.

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. Position Overview: As a transport modeling physicist at Thea Energy, you will be an architect of our plasma performance projections. You will apply advanced kinetic and fluid models to characterize heat, particle, and momentum transport in highly-optimized stellarator geometries. Your objective is to transform fundamental physics into actionable constraints, guiding our equilibrium+coil optimization and operational scenarios to ensure the success of our next generation fusion devices. Key Responsibilities: • Perform/analyze integrated modeling simulations to predict performance and develop scenarios for Thea Energy’s Eos and Helios stellarators., • Utilize gyrokinetic, fluid, and/or reduced transport solvers to provide projections of confinement, heat, particle, and momentum transport., • Maintain and extend existing gyrokinetic and transport frameworks, • Build reproducible simulation pipelines and data analysis tools to streamline the design-to-validation loop., • Use insights from turbulence and transport analysis to guide equilibrium and coil optimization., • Collaborate with the physics and engineering team to develop scenarios and interpret results from current hardware.Required Experience & Skillsets:, • PhD in Plasma Physics, Computational Physics, Applied Mathematics, or a related field. (Candidates with a Master’s degree and 3+ years of direct experience in transport/turbulence modeling will be considered)., • Strong understanding of gyrokinetic theory and transport processes, • Expertise in developing scientific simulation codes using Python, C++, or Fortran., • Proven experience working in Linux-based HPC environments with a focus on code scalability and performance. Preferred Skills: • Direct experience running core (e.g. GENE, stella, CGYRO, GX) and/or edge (GENE-X, XGC, Gkeyll) gyrokinetic codes., • Experience with stellarator-specific equilibrium and stability codes such as VMEC, STELLOPT, DESC, and/or TERPSICHORE., • Familiarity with advanced numerical methods, GPU programming, and/or developing surrogate/reduced models., • A track record of peer-reviewed publications and the ability to present complex physics to multi-disciplinary engineering teams. Personal Attributes: • Ability to manage complex projects from theory to implementation with minimal supervision., • A passion for fusion energy and a desire to work in a fast-paced, collaborative startup environment., • Rigorous approach to code verification and physics validation.Company Benefits:, • Salary range $100,000 - $140,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTOIt’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 About Dyania Health Dyania was born with the mission to find clinically critical and relevant insights buried within electronic medical records and release these insights to inform and drive clinical care and clinical research. Our vision is to make sure every patient gets the right care at the right time based in medical decisions precisely informed by their own data. Each patient’s medical record would take a provider nearly 2 hours to read once, let alone read again and again for all the updates cumulated over time. It would be humanly infeasible to achieve even if there was an army of available human clinicians with time that they could spare. Moreover, if so much of medicine is undiscovered, how is an AI model meant to reason appropriately if humans do not know or agree on the right answer? What does high performing reasoning mean in a world of discord and vagueness? Synapsis AI is the answer. At Dyania Health, we built Synapsis AI over years of AI research, clinicians annotating data and real world tests to acutely understand and overcome every challenge at the point of care. The reason why we became obsessed with solving this problem has its roots in the very core of what is an innately human problem. The Role We're hiring a Forward Deployed Engineer, who will report to our VP of Forward Engineering. Together, you'll be the technical face of Dyania inside every client we deploy Synapsis AI into, owning the relationship from deployment through ongoing operation. As we scale, that technical interface will run through the Forward Deployed Engineering team. This is a hybrid role: part client-facing technical liaison, part builder, translating what health systems need on the ground into the engineering work -data models, integrations, pipelines, and workflows- that makes Synapsis AI run reliably inside the healthcare system’s firewalls. As an Individual Contributor in this role, you'll thrive in a fast-changing, innovation-driven environment and partner hand-in-hand with our Clinical Innovations team composed of MDs, PharmDs, and PhDs. They define the clinical components of our solution; you own the technical side. What you will own Client technical requirements • Serve as the primary technical liaison to the client throughout deployment, owning the technical aspects of the onboarding process end to end in direct partnership with our Clinical Innovations Group and Business Development teams., • Prepare deployment timelines and coordinate release schedules alongside our release and reliability engineering teams., • Collaborate on cybersecurity reviews and other technical evaluations of Synapsis AI, guiding clients to sign-off. Client growth and platform feedback-loop • Capture technical requirements from clients and drive the development of the engineering features needed to ensure Synapsis AI efficient and reliable processing., • Own the data mapping and integration work needed both during deployment and as new use cases emerge at client sites. Implementation • Analyze and validate the various data environments and data sources Synapsis AI needs to integrate to., • Lead database mapping efforts, SQL logic definition, and prioritization of sources of truth across complex medical data pipelines., • Build and fine tune ETL pipelines that feed Synapsis AI the information needed to process clinical projects, • Partner closely with our Clinical Innovations team, who shape the clinical instructions Synapsis AI runs on, to implement clinical projects., • Support the Clinical Innovations and Business Development teams on reporting needs to ensure Synapsis AI accuracy and reliability in production. Stand-up and operational activities • Build pipelines that automate manual tasks across deployment and the day-to-day operation of Synapsis AI., • Monitor system activity and service health in partnership with our engineering team and client-side engineering team, proposing enhancements as issues or opportunities surface., • Develop, request, or enhance the workflows that support the day-to-day operation of Synapsis AI at each site., • Together with the VP Forward Engineering and in coordination with our Clinical Innovations team, own the technical communication with the client at an operational level while capturing client- and project-specific needs, translating them into clear, actionable requirements for Engineering, Product, or other internal teams at Dyania. Requirements Required Qualifications • Bachelor’s degree in Engineering, Computer Science, or a related technical field., • +5 years of experience as a software engineer using Python or similar coding languages., • +2 years of technical experience that includes customer-facing work., • Experience working with both SQL (e.g. MSSQL, Postgres) and NoSQL (MongoDB) data stores, including schema design, query-level performance tuning, and data mapping., • Experience with containerization (Docker), building and operating services in production, and CI/CD pipelines., • Hands-on experience with event-driven or workflow-based architectures (i.e.: queue/worker systems, pub/sub, durable workflow engines, or similar orchestrations of distributed, retriable jobs)., • Experience analyzing systems and providing operational enhancements., • Experience communicating risks or failures and capacity to adjust quickly and fix where needed., • Experience leading technical sessions with customers for requirements gathering, technical presentations, and/or debugging sessions., • Clear written and verbal communication skills with external and internal stakeholders., • Proven capability to operate in fast-moving, high-expectation, founder-led environments., • Comfortable with ambiguity and rapid scaling. Preferred Qualifications • Master’s or PhD degree in AI, Engineering, Computer Science, or a related technical field., • Experience as a Software Engineer on data-intensive systems in healthcare, bioinformatics, or a similarly regulated domain., • Experience automating processes using generative-AI tools., • Experience leading or partnering closely within cross-functional, multidisciplinary teams., • Experience working in a startup-environment, building products from 0 -> 1 and taking systems from conception to launch., • Strong understanding of medical terminology, EMR data structures, clinical logic, and research methodology. Who is a Dyanian? • Leads with empathy for our patients, teammates, partners, and clients, • Has an insatiable curiosity for learning new concepts and intellectual growth, • Has self-awareness in knowing what they know and what they don't know, • Maintains humility in recognizing that perfection does not exist, welcoming growth that comes from being wrong, • Has a magnetic attraction towards cross-disciplinary teams with diversity of thought, perspective, skill set, working style, knowledge, and interests who have a passion for solving challenging problems, • Maintains a flexible and adaptive attitude towards solving problems Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Visa sponsorship At Dyania Health, we sponsor visas on a case-by-case basis. Travel Requirements 25% - 30% Compensation Base salary range: $160,000 – $225,000 per year. The salary range represents Dyania Health's good-faith estimate of the base compensation for this position at the time of posting. Actual compensation will depend on factors such as experience, qualifications, skills, and other job-related considerations. This position may also be eligible for participation in Dyania Health's employee stock option plan. Benefits Benefits available to eligible employees include: • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Life and disability Insurance Work Arrangement Hybrid position requiring approximately 3–4 days per week in our Jersey City, NJ office, with approximately 1 day per week remote.

Job DescriptionRole Name: GNC Engineer III Work Location: Dallas–Fort Worth (DFW), Texas (Onsite) Job Summary We are seeking an experienced GNC Engineer III to solve challenging controls and localization problems using state-of-the-art techniques. The ideal candidate will develop simulations to validate control system designs and collaborate with a team of engineers to implement, test, and validate control solutions for unmanned ground vehicles (UGVs). The GNC Engineer III will be responsible for designing, developing, and overseeing various aspects of electrical control systems, equipment, and machinery. The role may also involve the installation and technical support of control systems and products. The successful candidate should possess a strong understanding of guidance, navigation, and control (GNC) concepts, practices, and procedures. This position requires the ability to apply technical expertise and sound judgment to plan and accomplish goals, solve complex engineering problems, and contribute creative solutions. The engineer will work under established guidelines and supervision while demonstrating technical leadership and the ability to perform a variety of complex engineering tasks. Essential Duties and Responsibilities: • Design and develop control and localization algorithms for unmanned ground vehicles., • Model mechanical and electrical systems to simulate and validate proposed control solutions., • Develop and analyze control algorithms to address complex engineering challenges., • Support the implementation, testing, and debugging of control systems and algorithms., • Conduct simulations to verify system performance and the effectiveness of control solutions., • Document engineering designs, analyses, simulation results, and testing outcomes in the company's standard report format., • Develop innovative control solutions to address technical challenges relevant to the company., • Provide technical guidance and assistance to other GNC engineers as needed., • Demonstrate technical leadership in control systems design and development., • Contribute to technical proposals requiring control system solutions., • Publish relevant research findings in conference proceedings and technical journals., • Identify and support patenting opportunities for client-developed control methods and technologies.Education and Experience Requirements, • Master's degree or PhD in Mechanical Engineering, Electrical Engineering, or a related field, with an emphasis on Controls and Localization., • 4–7 years of relevant industry experience in control systems, localization, or related engineering disciplines., • Strong understanding of GNC principles, control system design, modeling, and simulation., • Experience developing and implementing control solutions for complex mechanical or electrical systems.Required Technical Skills Proficiency in: • State-space control systems., • Localization techniques and algorithms., • State-of-the-art control methodologies and advanced controllers.Hands-on experience with:, • Designing and developing control and localization algorithms., • Creating detailed technical documentation, engineering reports, and design analyses., • Programming using Python, C, C++, and/or Robot Operating System (ROS).Physical Requirements, • Ability to remain in a stationary position at a computer workstation for extended periods throughout the workday., • Ability to operate a computer and other office productivity equipment., • Ability to perform job responsibilities effectively using computer monitors., • Ability to communicate and exchange information effectively in person, over the phone, and through electronic communication platforms., • Ability to move throughout an office environment as required. “All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.”

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 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. Position Overview: We are looking for a Senior Electromechanical Engineer specializing in Web Handling in Reel-to-Reel (R2R) processes to lead the development of our core manufacturing infrastructure. This is a high-impact role where you will be responsible for the architectural design of the automated systems that process our proprietary superconducting magnets. You will act as the technical authority for web-handling and tension-control systems, guiding the transition from R&D prototypes to high-reliability industrial production lines. Key Responsibility Areas • Design the hardware and controls for bespoke reel to reel process machines, ensuring seamless integration between high-precision mechanical assemblies and complex control software. • Serve as the Subject Matter Expert (SME) for machine design enabling roll to roll tension control, web handling and steering, winding dynamics, and in-line process modules, providing technical guidance to the manufacturing and design teams., • Scope and design electromechanical equipment to handle fragile high temperature superconducting tape with zero-defect tolerance., • Manage external vendors and integrators for the fabrication of large-scale equipment, ensuring adherence to Thea Energy’s rigorous performance and safety standards., • Design and implement advanced in-line inspection systems (e.g., computer vision, laser interferometry) to capture high-fidelity process data during continuous manufacturing., • Develop long-term strategies for manufacturing throughput, identifying bottlenecks in the R2R process and implementing automated solutions to increase yield and reliability. Ideal Experience & Skillsets • BS, MS, or PhD in Mechatronics, Mechanical Engineering, Electrical Engineering, or related fields., • 8+ years of experience in the electromechanical design and commissioning of complex reel-to-reel equipment, preferably in delicate material applications (e.g., semiconductor, battery electrode, or specialized aerospace)., • Expertise with Beckhoff/TwinCAT 3, EtherCAT, and structured text programming. Experience with "Taper Tension" and specialized winding algorithms is highly desired., • Expertise in 3D CAD (NX preferred) and the use of FEA or multibody dynamics simulation to validate machine designs., • Ability to solve "first-of-a-kind" engineering challenges where no off-the-shelf solution exists. 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 DescriptionCompany Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Analytics and Performance Excellence (APEX) function supports AbbVie’s US organization and is comprised of highly regarded researchers, analysts, data scientists and strategists who are committed to being best-in-class within the biopharmaceutical industry. We serve as a strategic in-house counsel, ensuring that all decisions leverage the key insights that we develop. We continue to build new capabilities and skill sets, encouraging our team members to pull up a chair, be themselves, be creative, speak their minds, and do good work. We are a passionate, diverse, flexible, and inclusive organization with a culture that supports the best ideas, wherever they originate. We are smart, fun, quirky, and innovative – and we’d love for you to join us. Role Summary Manager, Analytics Products is the single-threaded product owner for a defined subset of AbbVie's Omnichannel analytics portfolio — a suite of capabilities spanning omnichannel marketing strategy, planning, execution, and measurement. Operating within the APEX Enterprise Advanced Analytics and Innovation team, this role holds full accountability for the business value of its assigned products. Reporting to the Associate Director, Analytics Products, the SM partners closely with Data Science, Marketing, Digital Lab, BTS, APEX Business Units, and external partners to ensure Omnichannel analytics solutions are impactful, adopted, and continuously improving. This is an outcome-oriented role combining applied AI/ML expertise with a product ownership mindset. Key Responsibilities • Own the product vision, strategy, and roadmap for a subset of Omnichannel analytics capabilities, ensuring alignment from strategy through execution., • Define the problem space — articulating business outcomes, user needs, scope, and the product backlog — while partnering with Data Science, Data Transformation, and BTS on technical delivery., • Manage the full APEX product lifecycle across 1–2 assigned Omnichannel initiatives, from Intake and Solutioning through Prioritization, Build & Validate, Delivery & Adoption, and Measure & Enhance., • Drive value-based prioritization, making disciplined trade-off decisions on scope, features, and timelines based on business impact, with clear acceptance criteria for deliverables., • Define and track success metrics, including adoption and business impact, and support closed-loop measurement frameworks to assess end-to-end promotional effectiveness., • Partner with Marketing, Digital Lab, BTS, APEX Business Units, and external vendors to co-develop analytics solutions that deliver quantifiable value across HCP and patient journeys., • Represent assigned analytics products in Product Council forums as the authoritative voice on product direction and trade-offs, feeding updates to the AD for Steering Committee visibility., • Engage stakeholders consultatively, shifting conversations from feature requests to problem definitions, user outcomes, and measurable results., • Communicate insights and strategy clearly — creating compelling roadmap presentations and recommendations for senior cross-functional audiences. Supervisory / Management Responsibilities This role does not carry formal direct report responsibilities at this time. Key Competencies • Outcome-oriented: Defines success metrics, measures product impact, and holds teams accountable to results — not delivery milestones., • Curiosity-driven discovery: Actively seeks out unmet needs and untapped AI/ML opportunities through networking and exploration, rather than waiting for requests to arrive., • Influence without authority: Builds alignment across Marketing, Data Science, Engineering, BTS, and partners through credibility and strategic framing., • Disciplined prioritization: Makes and defends scope and trade-off decisions based on business impact, urgency, and technical feasibility., • Strong communication: Presents complex analytics concepts and product strategies to senior audiences with clarity., • Consultative problem-framing: Translates ambiguous business challenges into well-scoped product opportunities with measurable outcomes., • Cross-functional collaboration: Builds trust across diverse stakeholder groups while maintaining clear decision rights per the APEX governance model.Qualifications Education Bachelor's degree in Business Administration, Statistics, Economics, Engineering, or a related quantitative field. Advanced degree (MBA, MS, or PhD) preferred. Required Experience • 5+ years in marketing analytics, digital analytics, or commercial analytics in biopharma, healthcare, or life sciences., • 3+ years as a product owner or product manager for analytics, data, or technology products, with full lifecycle ownership., • 3+ years in omni-channel analytics, engagement analytics, journey analytics, or closed-loop measurement., • 3+ years defining data and technology requirements in collaboration with data science, engineering, or technology teams., • 3+ years measuring commercial effectiveness via promotional response analysis, closed-loop measurement, A/B testing, or quasi-experimental methods., • 2+ years hands-on building AI/ML prototypes, proofs-of-concept, or MVPs., • Demonstrated ability to independently stand up a working demo or prototype from an ambiguous business idea with minimal upfront specification., • Hands-on experience with data science tools (Python, R, SQL) and ability to engage technically with data science and technology partners. Preferred Experience • Agile product development experience: backlog management, sprint planning, user story writing, and acceptance criteria., • Familiarity with pharma data sources (Symphony Health, IQVIA, or equivalent prescription, patient, and omnichannel marketing data)., • Experience designing and delivering executive-ready demos and presentations that translate technical AI/ML capabilities into business language for non-technical audiences., • Background in data visualization or design (e.g., Tableau, Power BI, Figma) to elevate the clarity and impact of prototypes and stakeholder-facing materials., • Experience working with Agentic Coding Tools (Cursor, Claude Code, Codex, Antigravity). Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future., • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees., • This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: https://www.abbvie.com/join-us/reasonable-accommodations.html

Job Description Teacher Tutors is hiring part-time Geometry tutors to join our team on a flexible basis. We're seeking educators with strong math backgrounds to support high school students in honors and standard Geometry. This role is ideal for tutors who are confident with proof-based and honors-level geometry, comfortable with the logical reasoning the course demands, and who enjoy working one-on-one with students. Our students range from those building foundational skills to those tackling honors coursework. Sessions take place in students' homes, at the library, at our Livingston, NJ office, or online. Most of our clients prefer in-person tutoring, so we'd love tutors who are open to offering it. We match families to tutors based on your preferred travel radius; you tell us how far you're willing to drive, and we work within that. Responsibilities • Deliver one-on-one geometry tutoring sessions tailored to each student's course, instructor's expectations, and learning goals., • Plan lessons and prepare materials (practice sets, review guides, worked problem sets, proof-writing practice, construction and diagram exercises, exam-style questions, and structured exam-prep schedules as test dates approach)., • Build students' fluency with core geometry skills and concepts—logical reasoning and two-column and paragraph proofs, congruence and similarity, triangle relationships, circles, quadrilaterals and polygons, coordinate geometry, transformations, right-triangle trigonometry, and area, surface area, and volume—and their ability to move between different representations of the same idea (diagrammatic, symbolic, and algebraic)., • Track progress across sessions and adjust pacing, materials, and difficulty based on what's working., • Submit a short session note after each tutoring session and flag concerns to our Director early., • Communicate clearly and warmly with parents., • Contribute to our team's shared practice: share what's working, ask questions, and help us keep raising the bar. Requirements • Bachelor's degree in mathematics, engineering, education with a math focus, or a closely related field. Master's or PhD candidates are welcome., • Demonstrated mastery of geometry at the level(s) you'll be tutoring—high school standard and honors Geometry, including proof-based work—with the ability to scale up to more advanced coursework such as Algebra II, Precalculus, or Trigonometry., • Tutoring, TA, or classroom teaching experience (formal or informal) with students at the relevant grade levels., • Working familiarity with the relevant curriculum standards (e.g., the New Jersey Student Learning Standards for Mathematics / Common Core geometry strands) and the areas where students most often struggle, such as writing and structuring proofs, logical reasoning, spatial visualization, and applying the right theorem to the right problem., • Strong communication skills and the patience to work with students who may arrive frustrated, anxious, or burned out after a rough test or assignment., • Ability to plan individualized sessions and adapt in real time when a planned approach isn't landing, including explaining the same concept in multiple ways until it clicks., • Availability for afternoon, evening, or weekend hours during the school year, with extra capacity around exam season and finals., • Comfort with educational technology., • Reliable transportation and a valid driver's license for in-home sessions. Preferred • NJ teaching certification and experience teaching Honors Geometry in a classroom setting., • Strong outcomes with geometry students at the levels you will be tutoring (e.g., grade improvement, standardized-test gains)., • Background or experience that allows you to support advanced or adjacent coursework, such as honors-level proof work, Algebra II, Precalculus, or SAT/ACT math prep (where geometry is heavily tested)., • Familiarity with the major textbooks and curricula commonly used in these courses, so you can meet students inside the framework their teacher is using., • Real-world or professional experience (academic, industry, or research) that helps you make abstract concepts concrete—for example, connecting geometric reasoning to design, engineering, or architecture work you've done. Benefits Compensation & employment status • Pay range: $40 - $50/hour, based on degree and experience, • W-2 (default): Most part-time tutors join as W-2 employees. Teacher Tutors handles payroll, taxes, and provides liability coverage during sessions., • 1099 (optional): Tutors who prefer 1099 contractor status are welcome, provided they carry their own professional liability insurance and operate through a registered LLC. Documentation will be requested during onboarding. Coverage area We serve families across northern New Jersey, with most in-home sessions concentrated in Essex, Morris, Union, and Bergen counties. When you join, you'll let us know your preferred travel radius from home, and we'll match you with students within that range.

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 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 test documentation, including standard operating procedures (SOPs), work instructions, and quality criteria for HTS magnet testing., • Support design, prototyping, and commissioning of custom test fixtures and equipment., • Work alongside test engineers, magnet designers, and manufacturing engineers to incorporate "lessons learned" from testing 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 test metrics and results, and progress against critical program milestones.Ideal Experience & Skillsets:, • Currently pursuing a Bachelor’s, Master’s or PhD 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., • Familiarity with relevant hardware and software for developing test controls including LabView, Python, National Instruments, thermocouples and voltage taps, and similar equipment and software, • 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 skills, • Ability to occasionally lift objects up to 50 lbs.Company Benefits: Salary range $21 - $25/hour Requirements:, • 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 DescriptionRole Name: ASIC Engineering Technical Leader Work Location: San Jose, CA (Onsite) Job Overview We are seeking a motivated, proactive, and intellectually curious ASIC Engineering Technical Leader with a strong focus on Design-for-Test (DFT). In this role, you will lead the development and implementation of DFT solutions for next-generation ASICs supporting multi-100G through 1.6T coherent optical communications products. Key Responsibilities: • Lead the implementation of SSN-based test-flow DFT architectures, including scan insertion, compression/decompression logic, memory BIST, and logic BIST., • Utilize Siemens Tessent tools for RTL and gate-level netlist DFT implementation., • Generate and deliver ATPG test patterns for:, • Stuck-at fault models, • Transition fault models, • Cell-aware fault models, • Path-delay fault models, • Drive scan-based diagnosis methodologies for silicon failure debugging., • Provide post-silicon testing, validation, and troubleshooting support., • Evaluate design readiness for scan insertion using RTL and physical-design Scan Design Rule Check (DRC) tools., • Integrate and verify Design-for-Test (DFT) fabrics and IP within subsystems., • Perform and debug non-timing and back-annotated timing (SDF) gate-level simulations., • Develop test scripts, automate engineering processes, and analyze data using programming languages such as Python, Tcl, or C++., • Support DFT execution throughout the ASIC development lifecycle, including design, verification, tapeout, and post-silicon validation.Minimum Qualifications:, • Bachelor’s degree with 8+ years of related experience, OR, • Master’s degree with 6+ years of related experience, OR, • PhD with 3+ years of related experience., • Prior experience working with ASICs., • Hands-on experience with scan insertion and DFT setup, integration, and validation., • Experience implementing DFT architectures, including:, • Scan insertion, • Compression/decompression logic, • Memory BIST, • Logic BISTPreferred Qualifications:, • 10+ years of experience working with ASICs., • 10+ years of experience with scan insertion and DFT setup, integration, and validation., • 3+ years of experience with SSN., • Experience driving ASIC DFT execution from concept through tapeout., • Experience working with ATE testers and test engineering teams., • Strong RTL knowledge with the ability to understand and debug DFT-related issues., • Ability to solve complex technical problems, including clock-domain crossing (CDC) issues., • Familiarity with advanced silicon processes and technology nodes designed for high-speed and low-power applications., • Strong experience implementing or integrating design blocks using Verilog/SystemVerilog. “All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.”

Job DescriptionApplied AI Researcher New Jersey, Jersey city GenAI / NLP / Agentic AI / Applied Machine Learning LevelResearch-focused Individual ContributorTarget / alternate titlesApplied Scientist; Research Scientist - NLP; AI Research Scientist; ML Researcher; NLP Scientist; GenAI Researcher; Applied ML ScientistCore keywordsapplied research, LLM, NLP, transformers, RAG, retrieval, model evaluation, experiments, robustness, embeddings, synthetic data, multimodal, PyTorch, Hugging Face, banking AI, AWS AI, AIRPRecruiter red flagsAcademic-only profile with no applied delivery; weak experimental design; cannot translate research into AIRP-ready business or engineering requirements; no awareness of regulated data constraints. Role purpose Bridge advanced AI research and practical enterprise use cases by validating models, methods, and prototypes that can become production-grade AIRP solutions. The role focuses on measurable business value, rigorous experimentation, model behavior, and safe translation of research into banking-relevant applications. Client-specific emphasis • Research must be grounded in enterprise business use cases, not generic AI experimentation., • Candidates should understand how model, retrieval, data, evaluation, latency, cost, and safety decisions affect production delivery on AIRP., • Cloud/AWS awareness is valuable because successful research outputs must be handed off to engineering teams building on AWS-hosted AIRP.Primary ownership, • Applied research agenda for LLMs, NLP, RAG, evaluation, multimodal AI, and agentic workflows relevant to enterprise use cases., • Prototypes, experiments, benchmark design, model-selection recommendations, and production-readiness evidence., • Research-to-production handoff with AI engineering, AIRP platform, product, risk, and governance teams.Key responsibilities, • Conduct applied research in LLMs, GenAI, NLP, information retrieval, multimodal AI, synthetic data, and agentic AI., • Design experiments to evaluate model performance, robustness, safety, scalability, interpretability, enterprise usefulness, and production feasibility., • Prototype AI solutions for KYC, credit underwriting, governance tracking, pitch book generation, Banker 360, Customer 360, deal library intelligence, financial crime quality, and sanctions screening., • Develop evaluation methodologies using golden datasets, adversarial testing, offline benchmarks, human review, business outcome metrics, and risk-specific acceptance criteria., • Assess prompt optimization, RAG, fine-tuning, instruction tuning, synthetic data generation, distillation, and model adaptation techniques., • Document model limitations, data assumptions, hallucination patterns, bias risks, performance boundaries, and control recommendations for regulated deployment., • Collaborate with engineers to convert prototypes into production-ready AIRP requirements, including latency, cost, observability, security, and AWS/cloud deployment considerations., • Track emerging AI research and translate relevant advances into practical recommendations for the enterprise.Must-have candidate profile, • Advanced degree preferred, usually MS or PhD in AI, ML, computer science, statistics, computational linguistics, mathematics, or related field., • Strong foundation in machine learning, deep learning, NLP, transformers, information retrieval, and generative AI., • Hands-on experience with LLMs, embeddings, RAG, model evaluation, and applied GenAI experimentation., • Python skills with PyTorch, TensorFlow, Hugging Face, scikit-learn, or equivalent research frameworks., • Ability to design rigorous experiments and communicate findings to technical, product, business, risk, and governance stakeholders., • Ability to translate research results into production requirements suitable for an AWS-hosted enterprise platform.Preferred experience, • Research or applied science experience in banking, finance, compliance, risk, legal, operations, financial crime, sanctions, or enterprise knowledge systems., • Experience with AWS Bedrock, SageMaker, vector search, MLflow, Databricks, model evaluation tooling, or cloud-based experimentation environments., • Publications, patents, internal research contributions, open-source AI contributions, or prior research-to-production handoffs., • Familiarity with Responsible AI, model validation, privacy constraints, audit documentation, and regulated deployment environments. Regards, Sr. Technical Recruiter Shubham Chandra Shubham.c@echoitsol.com

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., • 6+ 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 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.

Jacobs Levy Equity Management, an institutional asset manager located in Florham Park, NJ, is seeking a motivated Quantitative Data Engineer to enhance our proprietary quantitative investment systems. Be part of a team that leads our future. You will be a key player on the Technology team and will research, design, code, test and deploy models. The Quantitative Data Engineer will also support daily trading operations and work closely with quantitative research and portfolio management professionals to implement new ideas. Responsibilities Include: • Implement, enhance, and manage quantitative models for equity markets, frequently working with quantitative researchers on new ideas, • Design and improve proprietary data repository and financial data platforms, • Automate and support the Extract, Transform, and Load (ETL) processes from various market data vendors Position Qualifications: • MS/PhD in Computer Science, Engineering, Statistics, or related discipline with excellent academic credentials, • 3+ years of production experience developing in Python, • Proficiency in SQL, stored procedures, and database concepts, preferably with Microsoft SQL Server, • Familiarity with financial equity data, particularly Bloomberg, LSEG, Compustat, and CapIQ, • Experience in processing large and complex datasets, • An advanced knowledge of math and statistics and good problem-solving skills, • Strong communication skills and ability to collaborate across teams When determining the actual base salary offered to successful candidates, various factors will be considered, including but not limited to, the candidate’s relevant experience, skills, and qualifications for the role, as well as level of education attained, certifications, and other professional licenses held. The salary may also depend on whether the role includes managerial responsibilities. The expected base salary for this position is $150,000-$250,000. In addition to base salary, benefits include discretionary bonus plans, health, dental and other wellness plans, contributions to profit-sharing and 401(k) plan, paid time off, and more.

Location: Jersey City, NJ or Charlotte, NC Contract to hire W2 only Hybrid on site About the Role Sharp Decisions is recruiting for a senior, hands-on AI engineer to join the technology organization of a major global bank. This is a forward-looking role focused on agentic AI: designing, coding, and deploying autonomous agents built on large language models. What sets this role apart is the problem space. The team is looking for someone who understands not just how to build an agent, but how agents behave once they interact with each other, with data, and with the institution around them. That means thinking about emergent risk, complex systems, and the interconnectivity of things. What You'll Do • Design and build LLM-powered agents and multi-agent systems, from prototype through production., • Write the code yourself: agent logic, tool use, orchestration, and the data pipelines that feed them., • Model how agents interact within larger systems and identify where emergent behavior can create risk., • Bring a complex-systems lens to how interconnected processes, models, and data flows affect one another., • Work with engineering and business stakeholders to shape how agentic AI is applied responsibly across the bank. What You Bring, • A deep understanding of AI agents: how they work, how they reason and act, and how they fail., • Strong working knowledge of LLMs and practical experience building agents on top of them., • Solid coding ability in Python, with PySpark and SQL experience for working with data at scale., • Experience with Microsoft Azure., • A genuine grasp of complex systems, emergent behavior, and systemic or emergent risk. Backgrounds we'd love to see: Strong candidates often come out of computational social science or similar interdisciplinary programs, where modeling agents, networks, and emergent behavior is core to the work. A PhD in one of these fields is a meaningful plus. Technology Environment Azure, Python, PySpark, SQL, LLMs and agent frameworks. Databricks is part of the environment but not required. Location Jersey City, NJ or Charlotte, NC. The team is flexible on which office and will base the role wherever the right person is. Sharp Decisions has connected technology talent with leading financial institutions for more than 36 years.

About the Company Princeton Critical Minerals Inc (PCM) is a Princeton University spinout developing breakthrough technologies to enable sustainable extraction of lithium and other critical minerals. Our mission is to increase global mineral supply while minimizing water use, energy consumption, and environmental impact. We operate at the intersection of materials science, chemical engineering, and field-scale deployment, with active pilot programs in the U.S. and internationally. About the Role We are seeking a highly motivated Chemical Engineer or Chemist to join our team and help develop innovative, cost-effective solutions for mineral extraction from brine resources. This role spans lab research, pilot testing, and field deployment, with direct impact on scaling next-generation extraction technologies. Responsibilities • Design and develop materials, coatings, and chemical processes to enhance mineral extraction efficiency from brine systems, • Plan and execute laboratory experiments and field trials independently, including pilot-scale testing, • Analyze experimental data and translate findings into actionable process improvements, • Develop and maintain technical documentation, SOPs, and operational protocols, • Support product validation and performance benchmarking in real-world environments, • Collaborate on sensor integration, data analysis, and process monitoring systems, • Participate in technical reviews and contribute to engineering design decisions, • Communicate results and insights to internal teams, partners, and customers Qualifications • Bachelor’s, Master’s, or PhD in Chemical Engineering, Chemistry, Environmental Engineering, Geoscience, or related field, • Strong foundation in process engineering, brine chemistry, and materials science, • Experience with experimental design, data analysis, and process optimization, • Familiarity with process simulation tools, sensor systems, or data analytics platforms is a plus, • Experience in field work, pilot systems, or industrial environments preferred, • Strong written and verbal communication skills (English required; Spanish is a plus), • Hands-on, problem-solving mindset with the ability to work in fast-paced, multidisciplinary teams, • Willingness to travel to field sites (U.S. and international) as needed PCM Inc. is an equal opportunity employer committed to building a diverse and inclusive team.

Low Latency Quantitative Developer – Systematic & Quantitative Trading Location - New York / London / Singapore / California A leading global investment firm specialising in systematic and quantitative trading is seeking a Low Latency Quantitative Developer to join its Core team. The team is responsible for building and optimising the firm’s low-latency trading and research infrastructure, supporting high-performance systems across global markets. As a Low Latency Quantitative Developer, you will: • Build and enhance low-latency trading infrastructure., • Develop high-throughput research systems and tooling., • Improve testing, deployment, and monitoring frameworks., • Optimise geographically distributed networking capabilities., • Work on highly performant systems within a collaborative front-office environment. Key Requirements • BS/MS/PhD in Computer Science or equivalent., • 1-3 years of experience (open for graduates), • Strong programming experience in C++ and Python., • Strong systems fundamentals (OS, networking, compilers, etc.)., • Comfortable working within GNU/Linux environments., • Strong critical thinking and communication skills. This opportunity offers highly competitive compensation and the chance to work on cutting-edge low-latency systems alongside some of the industry’s leading engineering and quantitative talent.

Senior Applied AI Engineer $220,000 - $300,000 Base Salary + Equity A high-growth, venture-backed software company is hiring a Senior Applied AI Engineer to help build the intelligence layer behind its platform. This is an opportunity to work on the cutting edge of LLMs, AI agents, retrieval systems, recommendation engines, and applied machine learning, developing products that directly influence customer decisions and business outcomes at scale. You'll join a highly technical engineering team responsible for transforming large volumes of operational and transactional data into intelligent recommendations, automated workflows, and AI-powered experiences used by thousands of customers. What You'll Be Doing • Design, build, and deploy production AI applications powered by LLMs, agents, and machine learning models, • Develop intelligent systems for recommendation, retrieval, ranking, and decision automation, • Build document understanding and information extraction workflows using modern AI techniques, • Create agentic workflows that automate complex customer and operational processes, • Develop evaluation frameworks, observability tooling, and experimentation systems to measure model quality and business impact, • Own the full AI lifecycle from research and prototyping through production deployment and continuous optimization, • Partner closely with Product, Engineering, and customers to identify high-impact AI opportunities, • Stay current on emerging advancements in AI, machine learning, agent frameworks, and LLM technologies Highlights 🤖 Production AI & Agent Development – Build AI systems that power real customer-facing workflows and business decisions 🧠 Work Across the Full AI Stack – Own everything from model experimentation and evaluation to deployment and monitoring 🔎 Advanced Retrieval & Recommendation Systems – Build ranking, search, personalization, and context-aware intelligence products 📊 Own AI Evaluation & Quality – Design testing frameworks, observability tooling, and model performance infrastructure 🚀 High Ownership & Impact – Take ideas from concept to production and influence product direction ⚡ AI-First Engineering Culture – Work alongside a highly technical team leveraging modern AI tools and development workflows 📈 Massive Growth Opportunity – Join during a period of rapid expansion and help shape the company's long-term AI strategy What They're Looking For • 5+ years of experience building and shipping AI, machine learning, or data-driven products, • Strong software engineering skills with Python and/or TypeScript, • Experience developing LLM-powered applications, AI agents, retrieval systems, recommendation engines, or similar AI products, • Strong understanding of experimentation, evaluation, monitoring, and production AI systems, • Ability to independently solve complex technical challenges and drive projects from idea to launch, • Strong communication skills and experience working cross-functionally, • BS, MS, or PhD in Computer Science, Engineering, or a related technical field (or equivalent experience) Nice to Have • Experience building agentic workflows or AI-powered automation platforms, • Experience with RAG, embeddings, vector databases, ranking, or personalization systems, • Familiarity with LLM observability, evaluation, or monitoring frameworks, • Experience with modern cloud infrastructure and scalable distributed systems, • Background in commerce, analytics, forecasting, pricing, or operational intelligence products Compensation & Benefits • $220,000 - $300,000 base salary, • Meaningful equity package, • Comprehensive medical, dental, and retirement benefits, • High-impact role with significant ownership, • Opportunity to work on cutting-edge AI products alongside experienced engineers and startup operators

The Future Talent Program offers co-ops of up to 6-months, each involving one or more projects designed to support your professional growth. These opportunities in our Research & Development Division provide valuable development while allowing you to explore whether we are the right company for your long-term career goals. Our success depends on the integrity, knowledge, imagination, skill, diversity, and teamwork of people like you. That is why we strive to foster an environment of mutual respect, encouragement, and collaboration. As part of our global team, you will work alongside talented and dedicated colleagues while developing and expanding your career. Within our company, the Pharmaceutical Sciences & Device Development organization is responsible for translating therapeutic agents into functional drug products optimized for patients. The Device Development & Technology team focuses on discovering, developing, and commercializing superior delivery devices including dry powder inhalers (DPI), metered dose inhalers (MDI), nasal and parenteral systems (ophthalmic, injectables, and implants) to support small molecules, biologics, and vaccine therapeutics requiring complex delivery routes. We are seeking co-op candidates at all levels with strong academic performance, communication skills, teamwork, and the ability to work in a multi-functional environment. The co-op will participate in departmental and project team meetings, gaining a broad perspective on the drug development process in the pharmaceutical industry. In addition, the co-op will have the opportunity to present research results in both oral and written formats. During your co-op appointment, you will work closely with experienced pharmaceutical industry scientists on research project(s) with key tasks that include: • Support the planning, conducting, and reporting of various forms of human factors activities including but not limited to user needs identification, user journey/profiles mapping, usability study planning/execution, instructions for use/user training development, known use problem documentation, task and use error analysis, risk assessment/management, and post-launch outcomes analysis, • Maintain device risk management documentation by conducting risk assessments, evaluating failure modes, causes, and effects (FMEA/FMEDA), and updating risk control and mitigation strategies based on postmarket surveillance, complaint data, and customer feedback to ensure compliance with applicable standards (e.g., ISO 14971) and regulatory requirements., • Perform independent literature and database reviews to identify relevant scientific and regulatory evidence, synthesize findings, and summarize implications for the team's risk management and human factors work, • Conduct primary user research, discovering behaviors and motivations through methods such as surveys, interviews, usability testing and more that could lead to the exploration of new research directions and methodologies, • Perform quantitative and qualitative data analysis and distill the research insights into impactful, actionable, and compelling deliverables and other job-related duties or special projects as appropriate Location: Rahway, NJ Required Education and Experience: • Candidates must be a currently enrolled undergraduate sophomore, junior, or senior student pursuing a Bachelors degree OR a currently enrolled graduate student pursuing a Masters or PhD in Human Factors, Biomedical Engineering, Psychology, Industrial Engineering, Usability Engineering, Biomechanics, Cognitive Science, or equivalent, • Candidates must be available to work full-time for up to (6) months in 2027., • Candidates must have completed at least (2) years of studies toward bachelor's degree by June 2027., • Ability to apply user-centered design, human factors, and risk management principles to product research, development, and design, • Proven experience in conducting literature reviews as well as experience in selecting and implementing appropriate risk management and human factors/user experience research methodologies (e.g., user interviews, survey design, research study design), • Ability to analyze and synthesize large quantities of information into usable communications, literature reviews and/or presentations, • Demonstrated analytical skills and aptitude for quickly picking up advanced domain knowledge, • Excellent communication skills (verbal, written, formal presentation) and proven ability to collaborate with and across various multidisciplinary teams within the organization Preferred Experience and Skills: • Knowledge of medical devices, pharmaceutical, healthcare, or similar regulated industry, is a significant plus, • M.S. and Ph.D. candidates are strongly preferred, • Candidates should have a GPA of 3.0 or higher Learning outcomes: The successful candidate will have the opportunity to: • Learn how inputs from multiple stakeholders impact product design and development, • Stay current with industry relevant risk management and human factors best practices and research, • Identify new opportunities in risk management, human factors and drug delivery devices research, • Collaborate, network, as well as present on research with cross-functional colleagues (engineering, marketing, clinical, regulatory, manufacturing, quality, labeling, and more), • Understand the regulatory imperatives for risk management, human factors, including relevant standards and guidances, to ensure compliance with the US and local regulatory policies for medical devices and combination products Salary range: The salary range for this role is $39,908 - $111,111

Bachelor’s, Master’s, or PhD in Chemical Engineering, Chemistry, Environmental Engineering, Geoscience, or related field. We operate at the intersection of materials science, chemical engineering, and field-scale deployment, with active pilot programs in the U. We are seeking a highly motivated

Bachelor’s, Master’s, or PhD in Chemical Engineering, Chemistry, Environmental Engineering, Geoscience, or related field. We operate at the intersection of materials science, chemical engineering, and field-scale deployment, with active pilot programs in the U. We are seeking a highly motivated

Job Type: Flexible Contract (Remote) Job Summary: We are hiring senior security researchers, including faculty, research scientists, and experienced postdoctoral researchers, for a contract project that tests whether frontier AI models can carry out real research work in a command line environment. You will design research-grade tasks that a leading AI model cannot solve, then review how and why the model fails. What you will do • Design self-contained command line tasks drawn from the practice of machine learning research, such as implementing a method from a paper's description alone, locating the error in a flawed experimental setup, reproducing a reported result and explaining a discrepancy, implementing a custom loss function or optimizer correctly, and running a sound statistical comparison between two models., • Build the task environment, including code, data, and dependencies, write a reference solution, and write automated tests that verify whether a solution is correct. Because results can vary between runs, tests need to be deterministic or use well-justified tolerances., • Run your task against a frontier AI model, review its attempt with the same rigor you would apply to a paper under peer review, and refine the task until the failure reflects a real gap in the model's capability rather than ambiguity or trick wording., • Work with reviewers to bring each task to acceptance. Who we are looking for • A PhD in platform engineering, security engineering, machine learning, computer science, statistics, or a closely related field., • Industry or academic experience in machine learning research, in academia or industry. Years spent on doctoral research count toward this total., • At least one publication, ideally peer-reviewed work at a recognized machine learning venue or journal., • Deep working knowledge of Python and at least one major framework, such as PyTorch or JAX., • Fluency in the Linux command line, shell scripting, Docker, and Git., • Experience as a peer reviewer, or in designing course assignments and automated grading, is a strong advantage, because the work draws on the same skills. Why Cobalt AI • Advance frontier AI where it counts. Apply your research expertise to the data that frontier labs cannot obtain any other way, where your reasoning directly shapes how the next generation of models works through technical problems., • Grow professionally. Expand your influence through evaluation projects, advisory roles, and research collaborations, while deepening your understanding of how frontier models are trained and assessed., • Work with a top-tier network. Collaborate with researchers from leading institutions and labs on high-impact, flexible work., • Set your own schedule. Flexible 10 to 40 hour weeks that fit around your research position and your life., • Competitive pay. Rates vary by project and are determined by a number of factors, including scope, skillset, and experience.

We are a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. For decades, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed. We are seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems. This role is part of a central ML research team that collaborates across trading teams at IMC. The ideal candidate will have experience working with other researchers and engineers to build and continuously improve models, systems, and research tooling. We firmly believe that success for research-driven efforts lies in bringing together skills in ML, statistics, and trading intuition as well as a problem-solving mindset and pragmatism. This is an opportunity to dive deep into feature engineering and alpha research, and focus on applying a wide range of ML models as well as to perform research on building custom models. Your Core Responsibilities: • Design and deploy machine learning models to enhance trading performance across various asset classes, • Research, test and prototype new algorithmic ideas; deploy advanced ML techniques applicable to market prediction, signal generation, and portfolio optimization, • Collaborate with quantitative traders, researchers, and developers to translate market insights into data-driven features and models, • Manage data acquisition, preprocessing, and feature engineering for structured and unstructured data sources Your Skills and Experience: • PhD or Master’s in Engineering, Math, Statistics, Computer Science, or related quantitative field, • 5+ years of experience building applied foundational ML models, • Proven expertise in developing and deploying predictive models, • Strong programming skills in Python; proficiency in ML libraries such as PyTorch, TensorFlow, and/or high-performance libraries like Jax, • Strong understanding of theoretical foundations of state-of-the-art ML models, • Strong publication track record at ICML, ICLR, NeurIPS, or equivalent, • Ability and desire to work in a collaborative team environment, • Excellent written and verbal communication skills

Our client is transforming grocery shopping by giving people time back — shoppers handpick fresh groceries and household essentials and deliver them in as little as one hour. We're hiring a Senior Machine Learning Engineer for our Personalization Platform team within the Membership organization. You'll partner closely with Data Scientists to design, deploy, and scale personalized recommendation and ranking models that drive engagement across the Shipt marketplace. This is a hands-on senior technical role spanning architecture, ML infrastructure, and production systems — from training and serving pipelines to CI/CD and monitoring. If you have an AI-first mindset and enjoy building platforms that make other engineers and scientists more effective, this is your team. Responsibilities • Partner with Data Scientists, Product Managers, and peer engineering teams to build and ship AI product features, • Design, build, and maintain scalable ML infrastructure and production systems, including batch and streaming data pipelines for model training and serving, • Deploy, serve, and monitor models in public cloud environments via microservices that meet throughput and latency requirements, • Define best practices for AI product development: pipeline automation, model versioning, deployment, and scalable serving, • Design and manage CI/CD pipelines for machine learning deployments, • Integrate models into search and ranking systems (e.g., Elasticsearch first-stage retrieval and downstream ranking services), • Own accountability for the implementation of AI product features end to end, • Use modern monitoring and telemetry tooling to identify, assess, and prioritize platform issues, • Support experimentation and A/B testing infrastructure, offline evaluation harnesses, and search-quality reporting, • Stay current on emerging AI/ML technology and bring the best of it to the team Requirements • MS or PhD in Computer Science, Engineering, Mathematics, or equivalent practical experience., • 5+ years in machine learning and backend software engineering., • Strong proficiency in Python, plus at least one other backend language (Go or Java preferred)., • Deep understanding of user modeling, embeddings, similarity search, and ranking models., • Strong experience with serving architectures (REST/gRPC APIs, model servers) and low-latency inference., • Hands-on experience with modern AI development tooling — MCP servers/clients, PydanticAI, LangGraph, LiteLLM, or similar., • Experience with ML pipeline and experiment-tracking tools (MLflow, Kubeflow, Airflow, Weights & Biases, or similar)., • Solid grasp of distributed systems, microservices, and system design., • Cloud experience (AWS, GCP, or Azure) and containerized development (Docker, Kubernetes)., • Experience with SQL and NoSQL databases and large-scale datasets., • Familiarity with the full data science workflow — data ingestion, feature engineering, experimentation, deployment, and monitoring., • Exposure to experimentation platforms and online A/B testing., • Strong written and verbal communication; able to explain ML results and applications to scientists, engineers, and business partners. We offer: • Opportunity to work on cutting-edge projects, • Work with a highly motivated and dedicated team, • Competitive salary, • Flexible schedule, • Benefits package - medical insurance, vision, dental, etc., • Corporate social events, • Professional development opportunities, • Well-equipped office About us: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

Master's degree or PhD in Computer Science, Machine Learning, AI, Applied Mathematics, Statistics, Engineering, or a related quantitative field. Strong professional or research experience in machine learning. Ability to implement, debug, and validate complex machine learning workflows.

PhD in Computer Science, Applied Mathematics, Physics, Mechanical Engineering, or a related quantitative or computational field; strong Python and industrial-grade ML/DL project experience on physical or engineering data. Design and maintain versioned, high-concurrency simulation data pipelines and

This role combines production LLM engineering, applied machine learning, causal inference and experimentation. PhD in machine learning or a related mathematical field, and equivalent strength of shipped LLM product experience is required.

Chronicle is building frontier models for audience simulation on social platforms: understanding and predicting human preferences at scale. Join a fast-growing team to lead research efforts at the intersection of large-scale recommendation systems, behavioral simulation, and generative AI. In this role you'll set research direction, inform data collection and annotation, develop the core modeling architectures, and work with a high-caliber team alongside collaborators from leading academic and industry labs. You'll own the technical vision and research roadmap for large-scale audience forecasting and recommendation modeling, working closely with the research and leadership teams. You'll design and train proprietary models leveraging Chronicle’s internal datasets and infrastructure, and take those models from research prototype to production in a tight partnership with product and engineering. As a senior member of the team you'll recruit, mentor, and set the bar for a growing research team. Who you are • You have 6+ years building and shipping ML systems, with deep expertise in recommendation and ranking systems, statistics, predictive or causal modeling, and LLMs., • You have a track record of training models at scale and a strong grounding in robust ML pipelines, multimodal data representation, and model validation on real-world tasks., • You can lead ambiguous, open-ended research and translate it into working product, and hold an MS or PhD in CS, ML, or a related field, or have equivalent industry experience., • You have experience with media platforms including streaming and social, ad infrastructure, marketing science, or conversion optimisation., • You might have a history of building and leading research teams.

Currently pursuing a BS, MS, or PhD in Electrical Engineering, Mechanical Engineering, or Applied Physics, or related majors. Strong knowledge of electrical engineering and sensor technology, with hands-on experience in rapid prototyping for wearables or robotics, including PCB design, embedded firm

Work with device design engineers on DOE for process development. PhD in Electrical Engineering, Material, Chemistry, or Mechanical Engineering. Ensure laser wafer fabrication processes running smoothly, using various engineering means including SPC.

U.S. citizenship is required for this position. Candidates must be eligible to obtain and maintain a U.S. government security clearance. An active Top Secret/SCI clearance is preferred but not required. PREDICTION is building advanced AI systems for national security. We are looking for an exceptional Founding AI Research Engineer to join our core technical team and help define the AI research direction of the company. This is a hands-on research and engineering role for someone who wants to work on difficult, real-world AI problems across video, imagery, text, sensors, structured data, and other signals. We are not looking for someone who simply connects existing APIs. We are looking for someone who can understand difficult machine learning problems, design new approaches, run rigorous experiments, build models, and turn successful research into systems that operate in the real world. The level is flexible. We are interested in exceptional candidates ranging from outstanding early-career researchers to Senior, Staff, and Principal-level engineers. What You’ll Work On • Multimodal AI and reasoning, • Computer vision and video understanding, • Vision-language models and foundation models, • Temporal reasoning and long-term context, • Sensor fusion and multimodal data fusion, • Behavioral understanding and anomaly detection, • Object detection, tracking, and representation learning, • Agentic AI systems, • Model evaluation, calibration, robustness, and uncertainty, • Training, fine-tuning, post-training, and optimization, • AI systems operating in secure, edge, and mission-critical environments What You’ll Do • Research and develop new AI capabilities from idea through deployment, • Design and test new multimodal architectures and approaches, • Train, fine-tune, benchmark, and evaluate deep learning models, • Build systems that reason across multiple types of data simultaneously, • Develop methods for video understanding and temporal reasoning, • Implement and evaluate ideas from current AI research, • Design rigorous experiments and evaluation methodologies, • Investigate model failures and improve reliability, accuracy, and robustness, • Rapidly prototype new ideas and turn successful research into production systems, • Work closely with engineers and national security professionals on real operational problems, • Help define PREDICTION’s long-term AI research and technical direction Who We’re Looking For We care more about exceptional technical ability than titles or years of experience. You may be completing a PhD. You may already be a senior researcher or engineer. You may have spent years publishing research, or you may have spent those years building exceptional systems. What matters is what you can build, discover, and demonstrate. Strong candidates will have deep experience in one or more of the following: • Machine learning and deep learning, • Multimodal learning, • Computer vision, • Video understanding, • Vision-language models, • Transformers and foundation models, • Temporal modeling, • Representation learning, • Sensor fusion, • Agentic systems, • Reinforcement learning or post-training, • Model evaluation and calibration You should have strong Python skills and significant experience with modern deep learning frameworks such as PyTorch. You should also be comfortable reading research papers, understanding the underlying ideas, implementing them, identifying weaknesses, and developing better approaches. What Will Get Our Attention We want to see evidence of exceptional technical work. That could be: • Research published at NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, AAAI, KDD, or another leading venue, • A model or ML system you designed and built, • An exceptional open-source project, • A technically difficult system deployed in the real world, • Original research with meaningful results, • A GitHub repository that demonstrates exceptional engineering ability, • Experience at a leading AI lab, technology company, national laboratory, or advanced research organization A PhD is valuable, but it is not required. Why PREDICTION At PREDICTION, you will not be one researcher among hundreds. You will join a small technical team where your work can directly influence the models, architecture, research agenda, product, and direction of the company. PREDICTION is a New York-based U.S. technology company building advanced AI systems for national security. The company was built alongside senior leaders from the U.S. federal government, Intelligence Community, and law enforcement, together with engineers and researchers from leading technology and academic institutions. We are looking for exceptional people who want significant technical ownership and the opportunity to solve problems that matter outside of a benchmark.

COMPANY: TDK U.S.A. Corporation is the Regional Headquarters for the Americas of TDK Corporation, a global electronics company based in Japan, and publicly listed on the Tokyo Stock Exchange. TDK focuses on the demanding markets of information and communication technology, internet of things, and automotive, industrial and consumer electronics. TDK's comprehensive product portfolio features electronic components, sensors, power supplies, energy devices, and more. TDK has a network of design, manufacturing, and sales locations in Asia, Europe and the Americas, with global revenues of more than $12 billion. TDK employs more than 113,000 people worldwide, including more than 4,500 in North and South America. JOB DESCRIPTION: TDK USA Corporation is seeking an exceptional Principal System Architect to lead the architecture of next-generation Physical AI platforms. This role will define end-to-end system architectures spanning silicon and hardware, sensors, embedded and cloud software, AI/ML algorithms/models, actuation/control. As a technical leader across multidisciplinary teams, you will drive architectural decisions from concept through commercialization and help shape TDK's longer-term technology strategy. We are looking for a systems thinker who can bridge silicon, hardware, software, AI/ML, and robotics disciplines to create innovative, scalable platforms. The ideal candidate combines deep technical expertise with strong leadership and excels at turning complex ideas into commercially successful products. RESPONSIBILITIES: • Define system architecture for Physical AI, robotics, and intelligent sensing platforms., • Drive architecture analysis and tradeoffs across compute, power, performance, cost, reliability, and scalability., • Coordinate cross-functional design across silicon, hardware, embedded and cloud software, and AI/ML algorithms and models., • Lead architecture reviews, functionality splits, interface definitions, and system integration efforts., • Evaluate emerging technologies and guide technology roadmaps., • Collaborate with global engineering teams, customers, and strategic technology partners. REQUIREMENTS and SKILLS: • MS or PhD in Electrical Engineering, Computer Engineering, Computer Science, Robotics, or related field., • 10+ years of relevant experience architecting complex embedded and intelligent systems., • Demonstrated success delivering commercial products from concept to production., • Deep understanding of system architecture spanning silicon, hardware and software., • Expertise in several of the following areas:, • SoC architecture, CPUs, GPUs, NPUs, MCUs, and embedded processors, • Electronics, sensors, power optimization, and hardware integration, • Embedded Linux, RTOS, software development, • AI and ML algorithm/model development, • Robotics, motion control, and autonomous systems, • Cloud connectivity, IoT, security, and distributed systems COMPENSATION & BENEFITS: TDK U.S.A. offers a competitive salary and a comprehensive benefits package including medical, dental, 401(k), pension, life insurance, vacation, tuition reimbursement, work from home stipend, and 13 paid holidays. The starting annual base pay for this role is between $145,000 and $220,000. The actual base is dependent upon many factors, such as training, transferable skills, work experience, business needs, market demands, location (San Jose or San Diego, CA). The base pay range is subject to change and may be modified in the future. TDK is an Equal Opportunity Employer

Company Description Hadron Energy specializes in Micro Modular Reactor (MMR) development, design, and research based in the San Francisco Bay Area. As a leading MMR developer, Hadron Energy is building factory-produced, transportable microreactors that provide 24/7 carbon-free power for data centers, government facilities, industrial sites, and remote communities. Our mission is to create a brighter, healthier, and more equitable energy future. Role Description This is a full-time role for a Component Analysis Engineer, based in the San Francisco Bay Area. Remote or hybrid work will be considered on a case-by-case basis. The position is ideal for candidates with technical expertise in nuclear component design and analysis, who are passionate about advancing safe, scalable nuclear technology. You will work closely with our cross-functional team to support the design, analysis, and fabrication of Hadron’s micro modular reactor. The role focus is on the structural and thermal-hydraulic validation of reactor components, ensuring high-fidelity modeling and rigorous adherence to nuclear codes to guarantee the integrity of our microreactor technology. Responsibilities • Develop system-level models to characterize thermal, seismic, and other design loading conditions to establish the structural design basis for component analysis., • Perform various analyses including stress, fatigue, buckling, seismic, and vibration of reactor components using classical tools like Mathcad and finite element analysis (FEA) software like ANSYS., • Collaborate with cross-functional teams to perform static and dynamic analysis using both linear and non-linear approaches., • Work with interdisciplinary teams to establish and optimize nuclear component designs consistent with required functional and safety requirements., • Prepare and review documentation of analysis results and design solutions., • Support the development of required inputs and methodologies to establish structural sizing and design basis loads for reactor components and interfaces., • Perform rigorous peer reviews to maintain quality standards per the engineering procedures., • Assist management with technical planning, strategy, and acting as a technical point of contact for component analysis tasks., • Mentor junior engineers and team members to build a highly skilled and confident analysis team. Required Qualifications and Skillsets • Bachelor’s, Master’s, or PhD in Mechanical Engineering, Aerospace Engineering, Nuclear Engineering, or Civil Engineering., • Minimum 10 years of related experience with a proven ability to produce high-quality technical work products., • Extensive experience in the analysis of components to ASME Boiler & Pressure Vessel Code Section III, Division 1 or similar (Section VIII Division 2)., • Working experience with other codes and standards such as ASME Section VIII, B31.1, B31.3, ASCE 4, ASCE 7, and/or ASCE 43., • Proficiency in finite element stress analysis, mechanical analysis methods, and modeling tools with emphasis on ANSYS., • Strong understanding of solid mechanics, fracture mechanics, and metal fatigue principles., • Experience developing static and dynamic loads for component design, • Demonstrated experience in mechanical analysis of equipment using elastic, elastic-plastic, or inelastic analysis methods., • Experience working under stringent quality assurance programs such as ASME NQA-1, MIL-Q-9858A, or ISO-9000., • Expertise in detail-oriented review of drawings, documents, and calculations to ensure consistency and technical rigor., • Registered professional engineer, or ability to obtain active license within 6-months, • Appendix XXIII Certifying Engineer Qualification, or the ability to demonstrate and achieve this qualification within 12-months, • Proficiency in utilizing Mathcad and Python for engineering calculations and automation., • Excellent communication skills and a high degree of integrity, with a desire to foster teamwork in a fast-paced environment., • A high degree of integrity, a desire to foster teamwork, and a passion for solving complex challenges.

Senior Data Scientist Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. Please visit Fractal | Intelligence for Imagination for more information about Fractal Location: New York City, NY (On-site) Note: This position is not eligible for Immigration Sponsorship at this time. Position Overview: We are seeking a highly motivated and analytical Senior Data Scientist with 4–6 years of experience in Machine Learning, Statistical Modeling, Predictive Analytics, and Data Science solutions. The ideal candidate will leverage advanced analytical techniques to extract insights from large and complex datasets, develop predictive models, and help drive data-driven decision-making across business functions. The role requires strong expertise in Python, SQL, machine learning algorithms, time-series forecasting, anomaly detection, and data storytelling. The candidate will work closely with business stakeholders, data engineers, product owners, and technology teams to solve critical operational and strategic challenges using data science methodologies. Experience with cloud and modern data platforms such as Databricks, Snowflake, Microsoft Fabric, and exposure to the C3 AI Platform will be highly preferred. Key Responsibilities: Data Science & Analytics • Develop, implement, and maintain machine learning models for classification, regression, clustering, recommendation systems, and predictive analytics., • Design and execute advanced statistical analyses to identify business trends, risks, and opportunities., • Perform exploratory data analysis (EDA) to uncover patterns and generate actionable insights from structured and unstructured datasets., • Build forecasting models using time-series techniques for business planning, demand forecasting, asset performance prediction, and operational optimization., • Develop anomaly detection models to identify unusual patterns, operational failures, fraud indicators, or equipment performance issues., • Conduct root-cause analysis and hypothesis testing to support business decision-making. Machine Learning Model Development • Design and implement end-to-end machine learning pipelines from data ingestion to deployment., • Perform feature engineering, feature selection, and data transformation to improve model performance., • Evaluate models using appropriate validation techniques, performance metrics, and cross-validation methodologies., • Optimize machine learning algorithms for scalability, accuracy, and interpretability., • Monitor model performance and implement retraining strategies to ensure sustained effectiveness. Data Management & Engineering Collaboration • Partner with data engineering teams to build scalable data pipelines and analytical data models., • Work with large datasets using SQL, distributed computing frameworks, and cloud-based analytics platforms., • Ensure data quality, consistency, and governance standards are maintained throughout the analytics lifecycle. Business Engagement & Communication • Engage with business stakeholders to understand requirements, translate business problems into analytical solutions, and define success metrics., • Present analytical findings, model results, and recommendations to both technical and non-technical audiences., • Translate complex data science concepts into business-friendly insights and actionable recommendations., • Support strategic initiatives by providing data-driven forecasting and scenario analysis. Visualization & Reporting • Develop interactive dashboards and visualizations using Power BI, Tableau, or equivalent tools., • Communicate model outcomes and business insights through compelling visual storytelling and executive presentations. Qualifications: • MS or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative field., • 5+ years of applied machine learning, data science, or AI experience in a professional setting., • Demonstrated experience owning projects or major workstreams from initial problem definition through delivery., • Excellent programming skills in Python to include strong overall OOP experience., • Strong proficiency with machine learning and data science tools such as Scikit-learn, PyTorch, TensorFlow, pandas, NumPy, XGBoost, or similar frameworks., • Broad knowledge of machine learning and AI methods, including when to apply different approaches and what tradeoffs to consider., • Project experience in several of the following areas: supervised learning, unsupervised learning, time series forecasting, deep learning, operations research, optimization, anomaly detection, or Generative AI., • Familiarity with the machine learning lifecycle, including experimentation, versioning, deployment, monitoring, governance, and retraining., • Experience with production-oriented ML tools or workflow platforms such as MLflow, Airflow, Kubeflow, Databricks, or similar., • Familiarity with scalable data and AI technologies such as Spark, distributed processing, streaming systems, or cloud-based ML services., • Prior exposure to AWS, Azure, or Google Cloud, especially AI/ML services, is advantageous., • Ability to lead independently while collaborating effectively with client, product, engineering, and delivery teams., • Strong communication skills, including the ability to explain complex analytical work clearly to business stakeholders., • High ownership mindset, strong judgment, practical problem-solving ability, and a desire to create measurable business impact. Preferred Qualifications: • Hands-on experience with the C3 AI platform., • Experience working in an embedded client environment, partner delivery model, enterprise SaaS implementation, or AI platform delivery role., • Experience delivering AI solutions for large enterprises or Fortune 500 clients., • Domain experience in manufacturing, energy, utilities, supply chain, aerospace, telecommunications, financial services, or other operationally complex industries., • Experience with demand forecasting, asset reliability planning, predictive maintenance, inventory optimization, or supply chain optimization., • Experience mentoring junior team members or leading small technical teams. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $120,000 - $165,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

ML Engineer (MSc. or PhD) (Remote | $60–$120/hr) Position: ML Engineer (MSc. or PhD) Type: Contractor (Part-Time, approximately 15 hours/week) Compensation: $60–$120/hour Location: Remote (Worldwide) About the Opportunity This opportunity is for experienced Machine Learning Engineers to contribute to AI training projects involving model development, training and inference systems, and performance optimization. The role is highly coding-intensive, with a focus on Python, reproducible workflows, and coding agents. Key Responsibilities • Develop and validate machine learning models, training pipelines, and inference systems., • Implement model components, data pipelines, evaluation systems, and numerical methods., • Build reproducible workflows using Python and command-line tools., • Debug numerical and system-level issues and optimize memory usage and performance., • Create, solve, review, and validate challenging machine learning engineering tasks. Required Qualifications • Master's degree or PhD in Computer Science, Machine Learning, AI, Applied Mathematics, Statistics, Engineering, or a related quantitative field., • Strong professional or research experience in machine learning., • Practical proficiency in Python and experience using coding agents., • Ability to implement, debug, and validate complex machine learning workflows. Preferred Qualifications • Experience at an established technology company, AI laboratory, or research organization., • Exceptional academic or open-source engineering experience demonstrating relevant expertise. Compensation • $60–$120/hour, with output-based payment for tasks meeting project specifications., • Approximately 15 hours per week with a flexible schedule., • Immediate availability preferred; first task expected within 24–48 hours after onboarding. Application Process • Apply for the role and complete the screening questions., • Complete an AI interview of approximately 30 minutes., • Complete the hiring manager review., • If selected, complete onboarding and begin the first task within 24–48 hours.

FX Quant Trader Location: New York City, NY Type: Full-Time Industry: Proprietary Trading / Quantitative Finance About the Role: We are seeking a highly quantitative and entrepreneurial FX Quant Trader to join a leading proprietary trading firm in New York City. This individual will be responsible for developing, implementing, and managing systematic and semi-systematic trading strategies across global foreign exchange markets. The role combines quantitative research, strategy development, execution optimization, and risk management within a fast-paced, technology-driven trading environment. The ideal candidate has a strong background in FX markets, statistical modeling, and algorithmic trading, with a proven ability to identify and capitalize on market inefficiencies. This is an opportunity to work alongside experienced traders, researchers, and technologists while having direct impact on P&L generation. Responsibilities • Research, develop, and deploy quantitative trading strategies across G10 and Emerging Market FX products., • Analyze large datasets to identify predictive signals, market anomalies, and alpha opportunities., • Design and enhance systematic execution models to improve trading performance and reduce transaction costs., • Monitor, manage, and optimize live trading strategies with direct responsibility for risk and profitability., • Collaborate with quantitative researchers and software engineers to build scalable trading infrastructure., • Conduct statistical analysis, backtesting, and performance attribution of trading models., • Leverage alternative data, macroeconomic indicators, and market microstructure insights to drive trading decisions., • Continuously evaluate market conditions and adapt strategies to evolving liquidity and volatility regimes., • Develop tools for portfolio construction, risk management, and signal generation., • Present research findings, strategy recommendations, and performance updates to senior leadership. Qualifications • Bachelor's, Master's, or PhD in Mathematics, Statistics, Physics, Computer Science, Engineering, Economics, or a related quantitative discipline., • 3+ years of experience trading or researching systematic FX strategies within a proprietary trading firm, hedge fund, bank, or electronic market maker., • Strong understanding of FX market structure, liquidity dynamics, and macroeconomic drivers., • Demonstrated track record of developing profitable quantitative trading strategies., • Advanced programming skills in Python; experience with C++, Java, or Rust is a plus., • Expertise in statistical modeling, machine learning, time series analysis, and optimization techniques., • Experience working with large financial datasets and high-performance research environments., • Strong knowledge of risk management frameworks and portfolio construction methodologies., • Excellent analytical, problem-solving, and communication skills.

Company Intro At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains - from doctors and lawyers to physicists and engineers - and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages. We are a well-funded startup with an enviable portfolio of clients including Anthropic, Amazon, Microsoft, Poolside, Recraft, and Shopify. Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin, CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA, UK, the Netherlands, Serbia, and more. About position The Principal AI Solutions Engineer is Toloka's most senior client-facing technical role. You will partner directly with CTOs, VPs of Engineering and ML, research leaders, and applied AI teams, helping them solve complex AI data challenges and translate ambitious model goals into practical, scalable solutions. This is a hands-on role. You will design and build the data-generation, labeling, and evaluation pipelines that power the next generation of AI models. Rather than training the models yourself, you'll help clients identify the right data strategy and own the solution from problem discovery through implementation and delivery. Beyond delivering client solutions, you'll help shape how Toloka approaches AI solution engineering - establishing best practices, raising the technical bar across engagements, and mentoring Solution Engineers and Technical Consultants. Why this role is different Every engagement is different. One week you might be designing evaluation pipelines for frontier foundation models, the next helping an enterprise build domain-specific reasoning datasets or synthetic data workflows. This role sits at the intersection of consulting, engineering, and AI. You'll work directly with some of the world's leading AI companies, helping shape how next-generation models are trained and evaluated. What you'll do Executive partnership • Act as the primary technical counterpart to CTOs, VPs of Engineering, and research/engineering leadership., • Lead executive conversations using a structured, answer-first (BLUF) approach., • Manage escalations and expectations with composure and integrity., • Build long-term trusted relationships by recommending evidence-based solutions. Data strategy & needs diagnosis • Ask excellent questions to uncover the client's real need - the "question behind the question." Understand their model, which metrics they want to move, and how they intend to train or evaluate it., • Draw on a solid understanding of how LLMs are trained and fine-tuned to have credible conversations with their technical leaders, understand their data strategy, and proactively propose the data that will solve their problem - with options and rationale ("based on your goal, you likely need this, or this"). Solution engineering & delivery (hands-on) • Design and build the data solutions yourself: configure data-labeling components and quality controls, develop user interfaces and AI-driven solutions (e.g. agentic systems, RAG, synthetic data generation), and integrate them into automated, multi-stage pipelines that produce data for AI training and evaluation., • Architect and reason about complex, multi-stage solutions end to end; run experiments to prove the pipeline delivers data of the required quality and speed; iterate from MVP toward production., • Provide technical leadership across multiple client engagements, establish reusable engineering standards and best practices, and mentor Solution Engineers and Technical Consultants to raise the overall technical bar of the organization. Commercial ownership • Own delivery end to end - timelines, quality, and scalability - and the commercial outcome: Gross Margin and Contribution Margin, with the levers, trade-offs, and next checkpoints named, not just described., • Identify and drive expansion opportunities. About You • Executive communication. You can confidently lead conversations with CTOs, VPs, and senior technical stakeholders - clear, concise, structured, persuasive, and calm under pressure., • Strong understanding of modern LLM development. You understand how modern LLMs are trained, fine-tuned, and evaluated (including SFT, RLHF/RLAIF, DPO/PPO, reward modeling, and LoRA/PEFT). You're comfortable discussing these topics with senior technical stakeholders and translating their goals into effective AI data solutions., • Hands-on solution engineering. You've designed complex AI solutions, built multi-stage pipelines, and developed AI-driven systems (e.g. agentic workflows, RAG, or synthetic data generation). You're comfortable working in Python (NumPy, Pandas), integrating APIs, and independently prototyping LLM-powered solutions., • Solid software engineering foundations. You understand version control, testing, MVP thinking, and iterative development. Experience building production software is a strong plus., • Exceptional discovery and problem framing. You enjoy working through ambiguity, asking the right questions, and translating business or research goals into clear AI data and evaluation strategies., • Seniority and track record. 8+ years delivering complex AI, ML, or data projects end to end, with experience influencing technical direction beyond individual projects. Experience establishing engineering standards, mentoring engineers, or leading cross-functional technical initiatives is highly valued. Experience in top-tier strategy consulting (McKinsey, Bain, BCG) and/or as an applied ML / LLM engineer is a strong advantage., • Ownership mindset. You take responsibility for outcomes, make thoughtful trade-offs between time, cost, and quality, and are comfortable owning both technical and commercial success. Nice to have • Hands-on experience training or fine-tuning LLMs and/or building agentic systems (helps you reason about client needs - though the role itself is about building data solutions, not training models)., • Advanced degree (MSc/PhD) in AI, CS, or a related field., • Experience in crowdsourcing and/or data-centric AI, and with fast-paced, multi-project delivery for frontier AI clients. What we can offer • Full-time independent contractor engagement through the Ontop contractor platform, either as an individual or through your own company or business entity;, • Flexible, fully remote schedule (40 hours per week);, • Work at the leading edge of AI development, alongside a dedicated and dynamic team of experts;, • Projects with customers that are AI industry leaders and well-known household names;, • Friendly community. To learn how we collect, use, disclose, and store personal data, check out our Privacy Notice.

STEM Expert (MSc./PhD) (Remote | $60–$120/hr) Position: STEM Expert (MSc./PhD) Type: Contractor (Part-Time, approximately 15 hours/week) Compensation: $60–$120/hour Location: Remote (Worldwide) About the Opportunity This opportunity is for STEM and scientific-domain experts to contribute to AI training through technical problem-solving, scientific reasoning, data analysis, and Python-based workflows. Candidates need deep expertise in at least one relevant scientific or quantitative field; expertise across all STEM disciplines is not required. Key Responsibilities • Solve complex scientific, mathematical, and technical problems within your area of expertise., • Review AI-generated solutions for scientific, mathematical, and factual accuracy., • Identify incorrect assumptions, reasoning errors, and overlooked constraints., • Use Python or other programming languages for calculations, simulations, and validation., • Provide rigorous, technically accurate solutions and feedback. Required Qualifications • Strong expertise in at least one STEM field, such as chemistry, biology, mathematics, physics, geoscience, environmental science, or robotics., • Practical proficiency in Python or another programming language., • Strong scientific, mathematical, or quantitative problem-solving skills., • Experience using coding agents in technical workflows. Preferred Qualifications • Familiarity with scientific tools such as NumPy, SciPy, pandas, SymPy, Jupyter, or relevant domain-specific libraries., • Relevant expertise gained through academic research, industry, teaching, engineering, or independent technical work. Compensation • $60–$120/hour, with output-based payment for tasks meeting project specifications., • Approximately 15 hours per week with a flexible schedule., • Immediate availability preferred; first task expected within 24–48 hours after onboarding. Application Process • Apply for the role and complete the screening questions., • Complete an AI interview of approximately 30 minutes., • Complete the hiring manager review., • If selected, complete onboarding and begin the first task within 24–48 hours.

Eikon Therapeutics is a new biopharmaceutical company employing revolutionary technology at the intersection of chemistry, engineering, computation, and biology to discover novel treatments for life-threatening diseases. Eikon's discovery platform is built on groundbreaking innovations from its founders (Nobel Prize, 2014), culminating in the creation of microscopes which enable real time, molecular-resolution measurements of protein movement in living cells, thereby unlocking otherwise intractable classes of proteins as drug targets. As Senior Director of Translational Medicine, you will play a vital role in driving biomarker research for our innovative clinical pipeline. You will lead cross-functional teams in the development of biomarker strategies, selection and validation of biomarker assays, and analysis and interpretation of biomarker data to support the advancement of our clinical programs. About You You are a strategic thinker with strong scientific acumen, have proven leadership and influence skills, and demonstrate a deep understanding of the impact of translational medicine in drug development. You bring extensive expertise in the classes of biomarkers that influence clinical development, an understanding of fit-for-purpose assay validation, and ability to perform data analysis through to impactful conclusion and interpretation. This role requires onsite presence at least 3 days per week (or more as business needs require) in our Jersey City, NJ office to ensure effective communication, operational excellence, and high-performance execution of clinical trials. What You'll Do • Lead one or more cross-functional Biomarker Subteam(s) to develop and implement a comprehensive biomarker strategy aligned with oncology clinical program goals., • Establish and maintain strong collaborations with research, clinical development, clinical pharmacology, biostatistics, regulatory affairs, data management, clinical operations, and commercial teams., • Provide strategic input into preclinical and clinical development plans, ensuring seamless translation of scientific findings., • Identify and champion novel translational approaches and technologies to enhance drug development., • Lead the identification, validation, and implementation of relevant biomarkers (pharmacodynamic, predictive, prognostic, mechanism of action, safety, resistance) to deliver key trial objectives such as patient selection, dose optimization, and therapeutic response monitoring., • Author biomarker sections of clinical protocols and oversee their execution., • Ensure the rigorous, fit-for-purpose analytical validation of selected biomarker assays., • Contribute to the scientific community through publications, presentations, and active knowledge-sharing., • Contribute to health authority interactions and submissions, including INDs, NDAs/BLAs, and CDx filings., • Ensure all translational medicine activities are conducted in compliance with GCP, regulatory guidelines, and ethical standards. Qualifications • PhD and postdoctoral training in the area of oncology, immunology, or a related field with minimum of 10 years of clinical biomarker development experience in a drug development setting., • Experience translating disease biology and preclinical pharmacology into clinical biomarker strategies that impact the clinical development of oncology therapeutics., • Outstanding strategic and critical thinking skills, with a track record of proactive innovation, scientific excellence, and demonstrated ability to analyze and interpret complex biomarker data., • Ability to work as part of a collaborative team and clearly communicate the impact of biomarker plans and outcomes on clinical development, both orally and in writing., • Expertise in selection, analytical validation, and clinical implementation of assays from a range of biomarker technologies., • Experience evaluating the predictive and prognostic value biomarkers and familiarity with companion diagnostic development., • Experience conducting data analysis in R or Python preferred., • Ability to excel in a dynamic, fast-moving environment by demonstrating independence,proactivity, creativity, and a solution-oriented mindset. At Eikon, employee compensation also includes bonus and equity compensation, in addition to several generous benefit programs, including: • 401k plan with company matching, • Medical (premiums covered by Eikon at 95%), dental and vision insurance (premiums covered by Eikon at 100%), • Mental health and wellness benefits, • Weeklong summer and winter holiday shutdowns, • Generous paid time off and holiday policies, • Life/AD&D Insurance (premiums covered by Eikon at 100%) and optional supplemental employee-paid life/AD&D policies, • Enhanced parental leave benefit, • Daily subsidized lunch program when on-site The expected salary range for this role is $252,000 to $304,500 depending on skills, competency, and the market demand for your expertise. Eikon is proud to be an equal opportunity employer and will consider all qualified applicants for employment.

DescriptionOverview of Role: The role will involve the development and enhancement of capital and loss forecasting models within the bank, with a particular focus on the achieving compliance with the Basel committee market risk requirements outlined as part of the Fundamental Review of the Trading Book. This is a high-profile area and presents a challenging and intellectually stimulating role in a dynamic team that is used to delivering in a timely manner to many different constituents of the bank.Responsibilities: As a Quantitative Finance Analyst your main responsibilities will involve:Developing and implementing new models or enhance existing modelsMaintaining & developing loss forecasting and capital modelsSeeking out work and enhancing current models/processesProducing clear and coherent technical documentation for internal and regulatory purposesCompetencies: Qualified PhD level in a numerical discipline (e.g. Statistics, Mathematics, Physics or Engineering) Experience in developing, documenting & maintaining numerical models for purposes of loss forecasting or calculating capital requirements Demonstrates consistent attention to detail Proven ability to communicate complex technical concepts clearly Essential Skills: Technical skills: Statistics, Probability Theory, Econometrics IT skills: Prior experience of using both statistical modeling tools (e.g. SAS, R) and development experience in either C++ or Python Documentation: Ability to clearly document quantitative models and evidence technical modeling choices Data analysis and interpretation. Experience of interpreting and manipulating large financial data sets A Practical knowledge of credit products including loans, bonds and credit derivativesNice to have Practical experience of quantitative model documentation using of LaTex or similar mathematical typesetting packagesJob Type & LocationThis is a Permanent position based out of Jersey City, NJ.Pay and BenefitsThe pay range for this position is $115000.00 - $145000.00/yr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.Health & Wellness Medical, dental, and vision insurance Prescription drug coverage Telehealth services Mental health counseling and support programs Health Savings Account (HSA) and Flexible Spending Accounts (FSA), where eligible Wellness programs, including incentives and wellness credits for eligible employees Retirement & Financial Benefits 401(k) retirement plan with company matching contributions Access to Merrill retirement and investment resources Employee stock purchase opportunities and equity programs for eligible populations Financial planning resources and education tools Paid Time Off Vacation time Holidays Sick time Parental leave (maternity, paternity, adoption support) Bereavement leave Military leave and other leave programs Family & Life Benefits Life insurance Disability insurance (short-term and long-term) Fertility, adoption, and family-building assistance Backup childcare and eldercare resources (subject to program availability) Employee Assistance Program (EAP)Job Type & LocationThis is a Permanent position based out of Jersey City, NJ.Application DeadlineThis position is anticipated to close on Oct 26, 2026.Workplace TypeThis is a hybrid position in Jersey City,NJ.About TEKsystemsWe're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.About TEKsystems and TEKsystems Global Services Were a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. Were a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. Were strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Were building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.Job SummaryJob number: JP-006346552Profession: Developer

Sr. Leader, Nutrition & Scientific Affairs Are You Ready to Make It Happen at Mondel?z International? Join our Mission to Lead the Future of Snacking. Make It With Pride. Are you ready to revolutionize the future of snacking? We are seeking a visionary professional to spearhead the development and deployment of cutting-edge nutrition strategies for iconic brands such as belVita, CLIF BAR, Good Thins, and Triscuit across the United States and Canada. In this high-impact role, you will serve as the lead of an expert nutrition team, inspiring and empowering them to proactively translate science and external insights into strategic, actionable opportunities for the North America business. You and your team will be instrumental in championing our mindful snacking strategy and informing innovation and renovation plans. This involves guiding product design, claims and breakthrough communications that are rooted in robust nutrition science, regulatory and policy foresight and evolving consumer needs. You will also collaborate expansively with diverse functional groups within Mondel?z International and external organizations, translating scientific insights and your expert understanding of the dynamic external environment into business preparedness strategies and plans. In addition to guiding our portfolio of the future, your expertise and leadership will be critical in shaping our food and nutrition policy perspective and plans and advancing Mondel?z related advocacy agenda. This role places a strong emphasis on Scientific Affairs expertise, external engagement, trade association leadership, and policy advocacy with foresight. The ideal candidate will bring a proven track record of representing organizational interests in external scientific and policy arenas, driving proactive policy engagement strategies, and leading within trade associations to shape the broader food and nutrition landscape. This is an unparalleled opportunity to leverage your scientific acumen and leadership presence to inspire action that makes a profound impact on some of the world's most beloved snack brands. How you will contribute As the Sr. Leader, Nutrition & Scientific Affairs leader, you will: • Offer strategic direction and nutrition thought leadership for our mindful snacking strategy in North America (NA), inspiring product renovations and innovations., • Working with regulatory and scientific affairs, marketing, consumer insights, nutrition research, and legal, you will promote nutrition and wellbeing messages and support the development and substantiation of science-backed claims used across media (packaging, advertising, websites, recipes, materials for health professionals, etc.)., • Lead internal nutrition education programs to increase employee knowledge and implement external health professional outreach programs and nutrition conference strategies to inspire BFY brand recommendations., • Lead and expand external engagement efforts, leveraging your understanding of nutrition science and public health and partnering with key functions like scientific affairs and corporate and government affairs, to inform and actively drive the company's external food and nutrition policy advocacy strategy, engagement plans, and foresight initiatives., • Serve as a visible leader in trade associations and scientific organizations, representing the company's business interests, shaping industry positions, and building strategic alliances that advance Mondel?z's advocacy agenda., • Champion policy foresight by monitoring, interpreting, and anticipating regulatory and policy developments, translating these into proactive business preparedness strategies and advocacy positions., • As a member of the NSC leadership team, you will direct a team of nutrition professionals (onsite and remote) and elevate the visibility and role of NSC as a respected, sought out partner across the NA business. What you will bring A desire to drive your future and accelerate your career and the following experience and knowledge: • Registered dietitian nutritionist, • Nutrition with deep experience in nutrition communications and nutrition affairs issues management, preferably in food industry, • Translating scientific knowledge into relevant and credible messages, making dynamic and informative public speaking presentations, and strong copywriting skills, • Influencing senior cross-functional partners and external bodies, • Managing people, including developing individuals, setting development plans and managing the career development of a diverse team, • Handling complexity, working with cross country/category teams and working with internal and external stakeholders More about this role What extra ingredients you will bring: • Strategic Thinking, • Results Driven, • Proactive & Collaborative Leadership, • Ability to inspire organizational thinking, • External Presence & Influence ability to represent the organization credibly and persuasively in external scientific, policy, and trade forums Education / Certifications: MBA, MS or PhD in nutrition or a related field; RDN preferred Job specific requirements: • 15+ years of experience in nutrition and leadership positions, working in or within the food or beverage industry., • Demonstrated experience leading teams and influencing senior stakeholders is required., • Proven understanding of the US food and nutrition landscape and an established expert network., • Extensive experience in Scientific Affairs, including developing and executing scientific strategies that support business objectives and regulatory compliance., • Demonstrated leadership in trade associations and/or scientific organizations, with a track record of advancing organizational priorities through external engagement., • Proven policy advocacy experience, including interpreting proposed regulations, developing foresight-driven strategies, and leading activation plans in response to evolving policy landscapes., • Experience interpreting, developing strategies and leading activation plans in response to proposed regulations., • Background representing company perspectives in trade associations, science organizations, etc. Travel requirements: 10-20% Work schedule: Onsite role based in East Hanover, NJ with a hybrid schedule of three days per week in the office. Washington DC (considered). The base salary range for this position is $140,300 to $192,940; the exact salary depends on several factors such as experience, skills, education and location. In addition to base salary, this position is eligible for participation in a highly competitive bonus program with possibility for overachievement based on performance and company results. In addition, Mondelez International offers the following benefits: health insurance, wellness and family support programs, life and disability insurance, retirement savings plans, paid leave programs, education related programs, paid holidays and vacation time. Some of these benefits have eligibility requirements. Many of these benefits are subsidized or fully paid for by the company. No Relocation support available The United States is the largest market in the Mondel?z International family with a significant employee and manufacturing footprint. Here, we produce our well-loved household favorites to provide our consumers with the right snack, at the right moment, made the right way. We have corporate offices, sales, manufacturing and distribution locations throughout the U.S. to ensure our iconic brandsincluding Oreo and Chips Ahoy! cookies, Ritz, Wheat Thins and Triscuit crackers, and Swedish Fish and Sour Patch Kids confectionery products are close at hand for our consumers across the country. Mondel?z Global LLC is an Equal Opportunity Employer/Protected Veterans/Persons with Disabilities. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact 847-943-5460 for assistance. For more information about your Federal rights, please see eeopost.pdf ; EEO is the Law Poster Supplement ; Pay Transparency Nondiscrimination Provision ; Know Your Rights: Workplace Discrimination is Illegal RegularNutrition Strategy & CommunicationsScience & Engineering

Position Overview We are seeking a highly motivated Computational Nuclear Engineer to join our team,focusing on neutronics and multiphysics simulations for stellarator fusion systems. Ideal Experience & Skillsets PhD in Nuclear Engineering, Computational Physics, Applied Physics, or a related field

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: • Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs, • Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services, • Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies, • Acting as a trusted advisor to customers on industry trends and emerging technologies, • Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS: Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. • Experience developing software code in one or more programming languages (java, python, etc.)- Bachelor's degree in computer science or equivalent- 3+ years of cloud architecture and solution implementation experience- 2+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences), • Experience scripting for automation (e.g., Python, Perl, Ruby)- Knowledge of security and compliance standards including HIPAA and GDPR- Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2- Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders- Master's degree in computer science, computer engineering, or related field, or PhD- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred- Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Candidates should hold a BS, MS, or PhD in mechatronics, mechanical, or electrical engineering with 8+ years of experience designing #J-18808-Ljbffr. You will manage equipment vendors and integrators while optimizing throughput and reliability, providing technical guidance to solve novel engineerin