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Job Description Applied Physics is seeking a highly motivated Senior Electro-Optical Engineer to join our team. The successful candidate will be responsible for leading the development, design, and testing of optical systems for space-based applications. The ideal candidate will have a Bachelor's degree in Optical Engineering, Physics, or a related field and 5 or more years of professional experience, a Master's degree and 3 or more years of experience, or a related PhD. Qualifications: • Bachelor's degree in Optical Engineering, Physics, or related field; or equivalent combination of education and experience, • Experience fabricating, designing, or fielding tactical or space-based optical systems and relevant performance parameters, • Experience with integration, test, characterization, and/or verification of optical systems, • Active Top Secret security clearance or equivalent Requirements • Lead a small optical engineering team as the Certified Principal Engineer (CPE) for the build and test of prototype or high TRL optical sensor hardware, • Perform optical analysis to determine ability of designed optical systems to meet specifications, • Work with Systems Engineering to perform system level design and decomposition into optical system requirements, • Participate in studies and system trades for enhanced capabilities, • Lead development of materials for program technical reviews and present data throughout the product development and maturation processes, • Procure optical components to specification to meet performance goals, • Lead development of build documents, hardware assembly, integration, test planning, and test execution of optical systems, • Report progress periodically to program leadership and external customers and clients, • Support spacecraft integration within a program coordinating across multiple disciplines to ensure requirements verification, • Participate in failure investigations and anomaly resolution boards, • Work with Certified Principal Engineers (CPEs), Responsible System Engineers (RSEs), designers, and test engineers to ensure smooth integration at the system level, • Demonstrate effective verbal communication, develop concise and professional technical presentations, and deliver briefings to peers, leadership, and customers Benefits We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

Job DescriptionJoin JB&B and shape the future of the built environment! Founded in 1915, Jaros, Baum, & Bolles has been a pillar of engineering innovation in New York City for over a century. Specializing in mechanical, electrical, plumbing (MEP), JB&B has contributed to some of the most iconic buildings. In October 2025, JB&B joined forces with Trinity Consultants, a global consulting firm focused on the natural and built environments. JB&B now operates within Trinity's Built Environment division, combining its deep expertise in high-performance building systems with Trinity's strengths in acoustic design, facility operations, commissioning, and technology strategy. This strategic merger expands JB&B's capabilities and offers employees: • Access to a broader portfolio of international projects and clients, • Enhanced career mobility across Trinity's global network, • Interdisciplinary collaboration with experts in sustainability, environmental science, and digital infrastructureAbout the Role: Our CFD practice sits at the intersection of fluid dynamics, building science, and human outcomes: How do pathogens travel through a hospital corridor? Why is a rooftop exhaust system pulling its own exhaust back in? Is that outdoor terrace actually going to be comfortable? We're looking for a CFD Specialist who gets energized by those questions. Someone who can build a rigorous model, but who also has the instincts to know when the model is telling you something real — and the communication skills to translate that into guidance a design engineer or client can actually act on. This is a role on a small, focused team with direct impact on some of the most technically interesting building projects in the country. You'll work closely with our HVAC design engineers as an embedded technical resource, and directly with clients on projects where the stakes — occupant comfort, energy performance, and occupant health— are high. Key Responsibilities: Modeling & Analysis Develop and execute CFD (computational fluid dynamics) models using the latest software and related platforms to support HVAC design decisions across a wide range of building types Evaluate thermal comfort conditions for occupants — accounting for airflow patterns, surface temperatures, radiant effects from glazing, solar gain, and more Model outdoor airflow dynamics: exhaust re-entrainment, equipment air intake/discharge, wind effects at building openings Simulate particulate and contaminant dispersion — pathogens, smoke, odors — in occupied spaces including critical environments (ORs, isolation rooms, labs) Analyze thermal microclimate effects from heat rejection sources such as heat pumps, generators, and cooling towers Collaboration & Problem-Framing Partner with JB&B's HVAC design engineers early in the design process to understand the real problem being solved — not just model what's handed to you Help engineers and clients ask better questions; bring CFD insight to the table before problems become costly to fix Serve as an internal technical resource and thought partner for the broader engineering team Deliverables & Communication Produce clear, well-organized simulation results with actionable recommendations Develop presentation materials — visualizations, reports, executive summaries — that make complex fluid dynamics legible to non-specialists Contribute to proposals, technical papers, and thought leadership content that elevates JB&B's reputation in building performance simulation Minimum Qualifications: B.S. or M.S. in Mechanical Engineering, Aerospace Engineering, Civil/Environmental Engineering, or a closely related field. Advanced degree preferred. Professional licensure or certifications are not required; PE/EIT or relevant building science credentials are a plus. 4+ years of relevant experience in CFD modeling, building simulation, or computational fluid dynamics applied to HVAC or built environment applications Deep working knowledge of numerical methods underlying CFD — turbulence modeling, mesh sensitivity, boundary conditions, solver selection Hands-on experience with CFD platforms. Familiarity with SimScale and/or Flovent is a plus. Strong understanding of HVAC fundamentals — not just the software, but the underlying physics of heat transfer, airflow, and psychrometrics Experience with at least some of: hospital/healthcare design, smoke control, contaminant transport, outdoor airflow analysis, or thermal comfort assessment Who You Are Genuinely curious. You find the problem interesting, not just the deliverable. You push past the first answer when something doesn't look right. A clear communicator. You can explain what a vortex is doing to an HVAC engineer who hasn't opened a fluid mechanics textbook since grad school — and you enjoy doing it. Rigorous but practical. You understand the limits of your models and are honest about them. You know when a simpler approach is the right approach. Collaborative. You see yourself as a resource to the engineers around you, not just a specialist in a silo. You're comfortable not always being the one who owns the project. Professionally engaged. You follow developments in simulation tools, building science, and HVAC. You have opinions about them. Why Work at JB&B? • Legacy + Innovation: Our company blends a rich history with forward-thinking design, including smart building systems and deep carbon reduction strategies., • Collaborative Culture: With over 400 professionals, our company fosters mentorship, teamwork, and continuous learning, • Global Impact: Now part of Trinity, our company offers opportunities to work on transformative projects across commercial, healthcare, aviation, life sciences, and data center sectors, • Multiple office locations: New York, Boston and PhiladelphiaWhat We Offer, • Hybrid workplace offering the flexibility to work both from home and the office, • Comprehensive benefits package including 401k employer match and stock options, • Paid time off (PTO), volunteer program and employee resource groups, • Training and professional development courses through JB&B University Estimated compensation range: $110,000 - $140,000 annual salary Jaros, Baum & Bolles is an equal-opportunity employer. All qualified candidates will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Powered by JazzHR zgQ3ZoeSX2

Job Description Applied Physics is seeking a talented Electromechanical Engineer to join our team. As an Electromechanical Engineer at Applied Physics, you will work on a variety of exciting and challenging projects in fields ranging from energy storage to space exploration. Responsibilities: • Design and develop electromechanical systems from concept to production, • Conduct feasibility studies, simulations, and prototyping, • Collaborate with cross-functional teams to integrate electromechanical systems into larger products, • Develop and conduct tests and analyze data to ensure product reliability and performance, • Identify and troubleshoot problems during the product development phase, • Maintain and improve existing electromechanical systems Requirements • Bachelor's or Master's degree in Electrical Engineering or a related field, • At least 3 years of experience in electromechanical design and development, • Proficient in CAD software such as SolidWorks, AutoCAD, or equivalent, • Familiarity with electrical and mechanical components such as motors, sensors, controllers, and actuators, • Strong problem-solving and analytical skills, • Excellent communication and collaboration skills Additional Requirements: • Experience with PCB design and assembly is a plus, • Experience with mechatronics or robotics is a plus, • Familiarity with international standards and regulations for electromechanical systems is a plus, • Experience in a startup or entrepreneurial environment is a plus Benefits We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

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 seeking a Test Engineering Manager to serve as a cornerstone of our hardware validation strategy. This role is central to the organizational build-up of a leading fusion energy company and requires a high degree of autonomy. You will lead the verification and validation efforts for our superconducting magnets as well as other critical technology, ensuring that our hardware meets the rigorous demands of a fusion environment. The role will require close alignment and cross-functional leadership across test, manufacturing, mechanical, and physics organizations. Your efforts will directly contribute to ensuring design success, enabling us to drive forward towards our commercial fusion energy goal. Thea Energy’s dynamic team is made up of self-motivated individuals with an excitement for solving complex problems.Key Responsibility Areas: • Develop and own test validation strategy, including defining the testing milestones required to qualify High-Temperature Superconducting (HTS) magnets, cryogenic systems, and high vacuum components., • Act as a subject matter expert for the test engineering team. You will lead, mentor, and grow a team of engineers and technicians, fostering a culture of rigorous data integrity and "first-principles" problem-solving., • Oversee the high-level design and build of large, custom, cryogenic and high power test stands. You will coordinate test needs across projects, identify test capability requirements, and allocate test resources across projects., • Analyze complex datasets to troubleshoot system-level failure modes. You will work closely with magnet, electrical, and controls teams to ensure test results directly inform and de-risk the next generation of stellarator design., • Lead relationships with key vendors for specialized hardware and for advanced test facilities, managing high-value procurement contracts and coordinating external design, build, and validation efforts to meet aggressive project timelines., • Establish and enforce rigorous commissioning, maintenance, and calibration procedures as well as safety protocols for high-voltage, high-field, and cryogenic environments, ensuring all operations meet or exceed IEEE, ANSI, and IEC standards where applicable. Required Experience & Skillsets:, • 7–10+ years of hardware-centric test engineering experience in high-stakes environments (e.g., fusion, aerospace, superconducting magnets)., • BS or MS in Electrical Engineering, Applied Physics, or a related field., • Proven track record of leading people, hiring to build out teams, and managing the verification and validation lifecycle for integrated systems., • Mastery of LabVIEW and Python, with expertise in automating complex, multi-day cryogenic and electromagnetic tests., • Demonstrated ability to work with a high degree of autonomy and make critical engineering decisions under tight deadlines., • Exceptional ability to translate complex test data into actionable insights for executive leadership and external stakeholders., • 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:, • Compensation: $145,000 - $185,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTORequirements:, • Ability to occasionally lift up to 50 lbs., • Ability to perform activities such as typing, standing, or sitting for extended periods of time., • Willingness to occasionally travel or work required nights/weekends/on-call., • 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 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 seeking a Sr. Plasma Control Engineer to develop and deploy novel plasma control algorithms for the Eos stellarator, with a strong emphasis on AI and ML assisted control, real-time state estimation, and digital twins. This role sits in the Electrical Engineering and Controls Systems (EECS) team and works day to day with plasma physics, diagnostics, and plant control engineers to bridge plasma physics objectives with plasma control and plant control implementation. If you can develop plasma control algorithms that are robust, constraint-aware, and ready for experimental operation, covering scenario design, supervisory control, and closed-loop regulation of core profiles, edge and divertor regimes, and off-normal response, we would like to hear from you. You will also contribute to subsystem digital twins and data pipelines that enable model development, validation, and deployment.Key Responsibility Areas:Plasma control algorithms and real-time software: • Develop, test, and iterate plasma control algorithms for Eos PCS, including multi-rate feedback, supervisory logic, and constraint handling., • Build AI/ML assisted control modules, such as learning-augmented MPC, reinforcement learning in simulation, physics-based models augmented with data-driven corrections, and adaptive control and auto-tuning across operating conditions, • Develop and deploy real-time state estimation and multi-diagnostic data fusion to produce control-grade plasma state, including robust profile reconstruction and regime indicators suitable for closed-loop operation., • Develop anomaly detection and early-warning indicators across plasma and plant signals, with clear thresholds and graded mitigation actions., • Partner with plasma physicists to translate physics goals into control objectives, observables, constraints, and validation tests.Digital twins and modeling:, • Design and maintain digital twin models for plasma control loops and coupled plant subsystems, enabling simulation, optimization, and controller development and validation., • Build model validation workflows, including post-shot reconstruction, scenario sweeps, sensitivity studies, and uncertainty-aware comparisons against experimental dataData and integration:, • Build and maintain data pipelines for time-series control and diagnostic data, including labeling, archiving, and training and inference workflows., • Integrate algorithms into the control stack in collaboration with EECS, ensuring compatibility with real-time constraints and low-latency inference where needed., • Maintain high software quality: version control, test coverage, reproducible environments, and operational readiness documentation.Ideal Experience & Skillsets: Required qualifications: • BS or MS in Electrical Engineering, Computer Science, Physics, Applied Mathematics, or related field., • 3 or more years of experience developing control algorithms, ML models, or real-time scientific software for complex physical systems., • Strong programming skills in Python, MATLAB and C++., • Experience with time-series data processing, signal conditioning, system identification, and validation on real data., • Practical familiarity with modern ML tooling (PyTorch, TensorFlow, or JAX) and deploying models into production code paths., • Working knowledge of modern control methods, such as state estimation, constrained optimization, MPC, and robust control. Preferred qualifications: • Experience with plasma control, stellarators or tokamaks, or adjacent fields such as accelerators and large scientific infrastructure., • Prior work on digital twins, real-time simulators, or physics-informed ML for physical systems., • Experience integrating with experimental control and data systems (for example EPICS, MDSplus, SCADA, OPC UA)., • Familiarity with low-latency deployment and inference engines such as ONNX Runtime and TensorRT., • Background in any of the following plant subsystems is a plus: power electronics, cryogenics, vacuum and pumping, high-power RF systems, and safety controls. Tools and platforms: • Languages and frameworks: Python, MATLAB, C++, PyTorch or TensorFlow or JAX, Jupyter, • Data infrastructure: MDSplus, EPICS, HDF5, InfluxDB, OPC UA, Kafka or ZeroMQ, • Dev workflows: Git, Docker, MLflow, CI pipelines, • Simulation and modeling: MATLAB Simulink, Modelica, FMI, and custom physics solversCompany Benefits:, • Salary range $120,000-$160,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTORequirements:, • Ability to occasionally lift up to 50 lbs., • Ability to perform activities such as typing, standing, or sitting for extended periods of time., • Willingness to occasionally travel or work required nights/weekends/on-call., • 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 DescriptionCompany Description Uncommon Schools is a nonprofit network of high-performing public charter schools dedicated to providing an exceptional K-12 education in economically disadvantaged communities. Operating in Boston, Camden, New York City, Newark, and Rochester, we are committed to closing the college completion gap and preparing every student for college and beyond. Our students consistently exceed national benchmarks, reflecting our dedication to their success. We invest deeply in our educators, offering weekly coaching, feedback, and professional development to ensure excellence in teaching and leadership. Join us to work hard, do good, and make a lasting difference! Job Description Physics teachers will be responsible for supporting student mastery of the laws and applications of motion, forces, and gravity. Understanding of the processes of work and energy and the laws of thermodynamics. Understanding of how light and sound waves function in our environment. Understanding of principles of electricity and magnetism and how they are applied. In addition to teaching Physics curriculum, the teacher will plan and execute labs to supplement student mastery of content. Our teachers prepare all students such that they have the choice to study and excel in any STEM discipline. We prepare all students to be citizen scientists that have the tools and knowledge to critically engage in the field of science regardless of their university major or professional career. Our teachers become experts in their course content and have a keen sense of how to motivate and inspire high school students. Responsibilities 1. Instruction • You’ll teach a curriculum that includes, but is not limited to, analysis of Biology, Chemistry, Physics, and Environmental Sciences that prepares students for Advanced Placement (AP) and collegiate level coursework., • You'll develop students’ practices skills of questioning, modeling, constructing explanations, data analysis, argumentation, and planning and conducting interactive labs., • You’ll create an environment where students feel confident using their voice to engage in scientific discourse., • You will facilitate student-led discourse, during which students use evidence to make sophisticated claims and synthesize and critique arguments., • You'll facilitate student-led inquiry of various scientific topics and engage students in lab and project-based performance tasks., • You'll work with the Science department to determine academic and engagement goals for students. 1. Data Analysis • You'll meet weekly with your principal and/or instructional coach to analyze and respond to trends in student work samples and assessments., • You'll learn and implement strategies to differentiate instruction for all learners in your classroom. 1. School Culture • You’ll build positive relationships with students to ensure they feel seen, loved, and heard., • You’ll partner with students’ families to ensure appropriate resources are available to support their child's learning needs., • You'll engage in practice-based professional development, mentorship, and coaching sessions., • You'll participate in weekly, school-wide meetings to cultivate community, model our core values, and encourage student achievement., • You'll partner with your grade level team to develop academic goals and practice instructional strategies.Qualifications, • A commitment to the mission of Uncommon Schools, • A demonstrated commitment to supporting students’ social emotional and academic development, • An enthusiasm for collaborating with internal and external partners in the best interest of students, • A self-directed learner who solicits and implements feedback to improve outcomes and achieve objectives Required Experience: • A demonstrated interest in impacting K-12 students in urban schools and communities (1-2 years experience preferred)., • Academic expertise in Science, Technology, Engineering, Mathematics, or other related fields of study., • Prior to the start of employment, you must have a bachelor's degree from an accredited college or university. Teacher certification is not a prerequisite for consideration at Uncommon Schools in the state of NJ, but you do need to meet NJ state certification eligibility requirements (a final undergraduate or graduate cumulative GPA of 3.0 for graduates on or after 9/1/16, or 2.75 if you graduated prior to 9/1/16). All instructional staff are required to become certified in the state of New Jersey within a reasonable period after beginning employment. Additional Information Our people are what make us Uncommon. We offer competitive compensation and comprehensive benefits that support the personal health, wellness, and finances of our staff and their families. Our compensation philosophy values equity & fairness and attracting & retaining top talent. Compensation Compensation for this role is between $60,000 to $90,000. Starting pay is determined using various factors including but not limited to relevant full-time teaching experience, education certifications, and tenure with Uncommon Schools. Candidates without full-time Teaching experience will likely have a starting salary of $60,000. Benefits • Generous paid time off inclusive of sick time, paid holidays, and 10 weeks of paid breaks (Spring, Winter, and Summer)., • Extensive, best-in-class training and development, • Comprehensive health, dental, and vision insurance plans + pre-tax flexible spending (FSA), dependent care (DCFSA), and health saving accounts (HSA), • Financial Planning, • New Jersey Pension program, • Paid leave of absence options (parental, medical, disability, etc.), • Mental health and counseling support + wellness benefits *A detailed list of all benefits is located HERE. At Uncommon, we believe that a supportive and welcoming environment helps our students, staff, and community thrive. We are dedicated to building a team that brings a wide range of perspectives and experiences, reflective of the communities we serve---with over 70% of our staff identifying as people of color. Our organization values respect and open dialogue on important topics that shape our school culture. As an equal opportunity employer, Uncommon provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We also ensure that individuals with disabilities receive all privileges and benefits associated with employment and are provided reasonable accommodations for the interview process and to perform core job functions. If you would like to request an accommodation, please email recruitment@uncommonschools.org.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Applied Physics Benchmark Specialist Type: Contract Compensation: $61–$77/hour Location: Remote Commitment: 10+ hours/week Role Responsibilities • Author original physics questions that test deep conceptual understanding, not surface-level recall., • Ensure questions are unambiguous, self-contained, and precisely defined with all necessary information in the problem statement., • Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above)., • Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers., • Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format., • Supply 1–5 academic references per question from reputable sources (peer-reviewed journals, university repositories)., • For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made. Qualifications Must-Have • PhD or doctoral candidate in Physics, Applied Physics, Astrophysics, or a closely related field., • Master's degree considered for candidates with exceptional depth in a specific subdomain., • Strong command of graduate-level physics concepts and mathematical formalism., • Excellent written English and ability to express complex ideas clearly and concisely. Preferred • Experience with rigorous academic problem design or physics olympiad writing is a strong plus. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job 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 looking for a driven scientist in fusion plasma diagnostics to join our core team. This position involves supporting the design, development, and operation of critical plasma diagnostics and control systems for our Eos planar coil stellarator. The successful candidate will have a strong foundation in experimental fusion plasma physics. You will play a vital role in a fast-paced, multidisciplinary setting, directly contributing to the rapid integration of diagnostic capabilities to accelerate the Eos commissioning and subsequent experimental campaigns. These campaigns will encompass both scenario development and nuclear (DD beam-target fusion) operational phases. All experience levels will be carefully considered.Key Responsibilities: • Support the conception, deployment, and iterative refinement of critical plasma diagnostics for Eos., • Support the definition of the requisite measurement suite for all Eos operational phases, ensuring close alignment with the plasma control and physics teams., • Assist in the development of initial instrument concepts, spatial layouts, and detailed requirements, including necessary space and facility allocation, for proposed Eos plasma instrumentation., • Participate in the design and execution of comprehensive experimental campaigns, covering diagnostic calibration, rigorous validation, and in-depth data analysis., • Collaborate extensively with cross-functional engineering teams to ensure seamless integration of diagnostics into the Eos system., • Rigorously document all technical outcomes and decisions to inform and guide future design iterations., • Assist in the management and coordination of external research and development collaborations pertinent to Eos plasma diagnostics.Experience & Skillsets: Essential: • M.S. or PhD in Plasma Physics, Applied Physics, or a closely related scientific discipline., • Relevant practical, hands-on experience developing and running experimental fusion plasma diagnostics., • Demonstrated track record of contributing to the successful management of diagnostics from initial concept through full commissioning and routine operation., • Familiarity with or experience in key fusion plasma diagnostic methods, such as Thomson scattering, X-ray spectroscopy, ECE, microwave interferometry, fast-ion diagnostics or magnetic field measurement techniques., • Proven experimental proficiency, including instrument calibration, advanced signal processing, and robust data analysis., • Outstanding skills in both written and verbal technical communication. Highly Desired: • PhD specifically in experimental plasma physics., • Sufficient engineering knowledge to facilitate effective, high-bandwidth interaction with multidisciplinary engineering teams., • A strong personal commitment to developing commercially viable fusion energy products.Company Benefits:, • Salary range $110,000 - $160,000, • 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 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 highly motivated Computational Plasma Physicists to join our team, focusing on stellarator and fusion plasma physics simulations. The ideal candidate will possess a strong background in computational physics, with a particular emphasis on MHD stability in stellarators and stellarator optimization. You will work with minimal supervision, contributing to cutting-edge research and development in Thea Energy’s stellarator systems.Key Responsibilities: • Develop and implement algorithms for analyzing and improving stellarator configurations., • Conduct simulations and analysis of fusion plasma behavior in stellarators, using advanced computational models., • Collaborate with cross-disciplinary teams to refine designs and improve the performance of stellarator systems., • Perform data analysis, model validation, and provide insights into the physical mechanisms governing plasma behavior., • Prepare technical reports, presentations, and publications based on simulation results and optimization findings.Required Experience & Skillsets:, • PhD in Plasma Physics, Computational Physics, Applied Physics, or a related field, or master’s degree in relevant field with 2+ years of experience., • Strong knowledge of computational plasma physics and numerical simulations., • Experience with stellarators is a plus., • Proficiency in programming languages commonly used in scientific computing (e.g., Python, Fortran, C++, or MATLAB)., • Excellent analytical, problem-solving, and communication skills. Preferred Skills: • Experience with any of the stellarator design, stability or transport codes such as DESC, STELLOPT, VMEC, TERPSICHORE, M3DC-1, GX, GENE-3D., • Understanding of optimized stellarator magnetic field generation and coil optimization techniques., • Experience in high-performance computing (HPC) environments. Personal Attributes: • Ability to work independently and manage projects with minimal supervision., • 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.Company Benefits:, • Salary range $120,000 - $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 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 Job Title: Research Scientist – Quantum & AI Photonic Chip Simulation Location: Hoboken, NJ Division: Executive Department: Tomorrow About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to operate at room temperature and low power at an affordable cost. The Company’s portfolio of core technology and products offer unique capabilities in the areas of high-performance computing, artificial intelligence, cyber security as well as remote sensing applications. Position Description The Research Scientist will work on the modeling, simulation, and architectural development of quantum and artificial intelligence (AI) computational structures intended for chip-scale implementation. This role focuses on translating advanced quantum and AI concepts into physically realistic, simulation-validated device and system designs suitable for fabrication. It concentrates on high-fidelity simulation, feasibility analysis, and performance optimization under practical fabrication constraints. The role serves as a technical bridge between the research team developing novel quantum/AI architectures and the chip fabrication team responsible for implementation, ensuring that proposed designs are physically realizable, scalable, and performance-optimized prior to tape-out. Duties and Responsibilities • Develop and simulate quantum and AI-based photonic architectures for on-chip implementation., • Translate high-level computational concepts into device-level and system-level simulation models., • Perform rigorous electromagnetic and multiphysics simulations to evaluate optical, nonlinear, and quantum effects., • Model and simulate quantum photonic circuits and quantum gates under realistic device conditions., • Analyze fabrication tolerances and material constraints to assess design robustness., • Optimize photonic device structures for performance, scalability, and manufacturability., • Collaborate closely with fabrication and packaging teams to ensure simulation models align with process capabilities, • Support post-fabrication validation by correlating experimental results with simulation predictions., • Document modeling methodologies, simulation results, and architectural trade-offs for internal and external reporting. Required Qualifications Education: • Ph.D. in Physics, Applied Physics, Electrical Engineering, or a closely related discipline. Technical Background: • Strong foundation in Photonics, Quantum optics, Nonlinear optics, • Demonstrated experience in simulation of photonic integrated circuits., • Experience modeling and simulating quantum gates or quantum optical systems., • Understanding of semiconductor/TFLN and photonic chip fabrication processes sufficient, • to incorporate realistic constraints into simulations., • Familiarity with chip testing and packaging considerations from a modeling perspective. Software Proficiency: • Lumerical (FDTD, MODE, INTERCONNECT), • Tidy3D, • COMSOL Multiphysics, • Python, • MATLAB Incumbent(s) in this position may be required to perform other duties and special assignments not specifically stated above. Statements outlined in this section are designated as essential job functions in accordance with the Americans with Disabilities Act of 1990

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 and skilled Experimental Plasma Physicist to join our research team. In this role, you will design, deploy, and plan operation of cutting-edge plasma diagnostics, spearhead experimental campaigns focused on fast-ion transport dynamics and actively collaborate with external academic and national laboratory partners. Key Responsibilities: • Design, build, and calibrate advanced plasma diagnostics (e.g., optical emission spectroscopy, laser-based diagnostics, probes, fast-ion loss detectors) tailored to Eos stellarator magnetic configurations., • Oversee vacuum system integration, high-magnetic-field hardware setup, and signal processing chains., • Maintain and upgrade diagnostic hardware to ensure reliable, high-resolution data acquisition during experimental runs., • Design and develop experimental campaigns targeting fast-ion transport, wave-particle interactions, and confinement physics., • Formulate experimental proposals, set operational parameters, and execute run plans on experimental plasma facilities., • Analyze complex multi-diagnostic datasets using Python, MATLAB, or modern scientific software to extract physical parameters (e.g., density profiles, velocity distributions, and fluctuation spectrums)., • Serve as a key liaison to external entities, including academic institutions, national laboratories, and international research consortia., • Co-author peer-reviewed journal articles and represent the organization at major conferences (e.g., APS Division of Plasma Physics)., • Mentor graduate students, junior researchers, and intern cohorts in laboratory safety, experimental protocols, and data analysis pipelines.Required Experience & Skillsets:, • Education: Ph.D. in Plasma Physics, Fusion Science, Applied Physics, or a closely related engineering/scientific discipline., • Experimental Track Record: Proven hands-on experience working in a plasma physics laboratory setting (e.g., low-temperature magnetized plasma, dusty plasma, or magnetic confinement fusion devices)., • Diagnostics Expertise: Demonstrated experience developing, operating, or analyzing data from plasma diagnostics (spectroscopy, Langmuir/Emissive probes, fast camera imaging, or particle detectors)., • Data Analysis & Modeling: Proficiency with quantitative data analysis tools (Python, MATLAB, Julia) and familiarity with transport modeling software or synthetic diagnostic codes., • Communication & Teamwork: Strong verbal and written communication skills with a proven track record of cross-institutional scientific collaboration. Preferred / Desirable Qualifications • Experience with strongly magnetized plasma environments (e.g., tokamaks, stellarators, superconducting magnet facilities or high-field discharge systems)., • Background in fast-ion loss modeling or validation of fast-ion diagnostic synthetic models., • Active involvement in scientific outreach, or mentoring programs.Company Benefits:, • Salary range $100,000 - $120,000, • 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 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 Plasma-Materials Scientist to join our team, focusing on plasma-facing material development. The ideal candidate will possess a strong background in the research and development of plasma-surface interactions, with particular emphasis on material survivability evaluation, plasma and heat-induced erosion processes, and plasma contamination effects in fusion-relevant environments. You will work with high autonomy and ownership, and contribute to cutting-edge research and development in Thea Energy’s stellarator systems.Key responsibilities: • Contribute to the construction and commissioning of a plasma device and diagnostics for exposing and evaluating plasma-facing material candidates., • Collaborate with plasma-material exposure facilities and use materials characterization tools for surface evaluation., • Provide technical guidance across team members in plasma device operation, plasma-material performance assessment and experimental planning., • Participate in stellarator plasma-facing component operational campaign planning., • Utilize computational and simulation tools to perform plasma-surface interaction simulations, thermal analysis, and contribute to multi-physics modeling efforts.Required Experience & Skillsets:, • Master's degree in materials science, engineering, applied plasma physics, chemistry, or a related field., • Knowledge of basic plasma physics., • Experience with vacuum systems., • Experience with experimental plasma setups and diagnostics such as industrial plasma sources, RF plasmas, spectroscopic diagnostics, laser-based diagnostics, and electrostatic probes., • Experience with surface analysis techniques such as electron microscopy, atomic-scale microscopy, and elemental composition analysis methods (e.g. XPS, EDX, Raman)., • Experience with one or more of the following: Python, MATLAB, FEA tools, COMSOL, C++, Fortran., • Ability to work independently and manage projects., • Strong attention to detail, • A passion for advancing fusion energy to commercialization., • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally.Ideal Experience & Skillsets:, • PhD in applied plasma physics or a related field., • Experience with fusion boundary plasmas and/or low-temperature plasmas., • Experience with linear plasma devices., • Experience in tokamak or stellarator divertor research., • Experience with ERO2.0, TRIDYN, SDTrimSP/TRIM, WALLDYN, or RustBCA.Company Benefits:, • Salary range $100,000-$160,000, • 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 Applied Physics is seeking a seasoned strategist with extensive experience to lead our financial operations. As a key member of our senior management team, you will be responsible for developing and implementing our financial strategy, ensuring compliance with relevant regulations, and monetizing our patent portfolio, in addition to acquiring new technologies. You will work closely with other C-suite members to provide financial insight and guidance on strategic decisions, as well as work with the board of directors and ethics board. Qualifications: • Bachelor's degree in accounting, finance, or a related field, • Master's degree preferred, • 10+ years of experience in financial management and planning, with at least 5 years in a senior leadership role, • Excellent leadership skills and the ability to inspire confidence and create trust, • Strong financial and accounting background, including an understanding of profit and loss, balance sheet and cash flow management, and general finance and budgeting, • Knowledge of regulatory requirements and compliance, • Ability to work under pressure, plan personal workload effectively, and delegate tasks, • Excellent communication skills, including the ability to present complex financial information in a clear and concise manner Requirements • Experience in an IP or manufacturing company, • Professional certification (e.g., Certified Public Accountant), • International finance experience, • Experience in mergers and acquisitions and investor relations Responsibilities: • Develop and implement a financial strategy to support business goals, • Manage all aspects of financial operations, including cash management, investments, insurance, budgeting, and financial reporting, • Coordinate the development of annual budgets and ensure financial reporting is accurate and timely, • Ensure compliance with national and local financial regulations, • Implement best practices to ensure strong fiscal management and project coordination, • Provide financial insight and guidance to other C-suite members to support strategic decisions, • Oversee day-to-day financial operations, including accounting, recording, reporting, and internal-control activities, • Identify areas for cost reduction and process enhancement to improve financial performance, • Manage finance personnel and oversee financial IT systems to ensure compliance with regulatory entities, • Prepare detailed financial reports for the management team and the rest of the company, • Oversee HR operations by coordinating with external service providers and internal staff responsible for other aspects of HR Benefits We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Applied Sciences — Visual Document Understanding Type: Contract Compensation: $50/hour Location: Remote Commitment: 15–20 hours/week Role Responsibilities • Evaluate the accuracy and depth of AI-generated content in Physics, Chemistry, and Biology to strengthen reasoning and rigor in model outputs., • Review complex scientific documents for alignment with domain principles and methodologies., • Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance., • Develop evaluation rubrics and benchmarks for assessing AI-generated scientific tasks and solutions., • Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets., • Work independently and asynchronously to meet deadlines while improving AI model performance. Qualifications Must-Have • Expertise in Physics, Chemistry, or Biology., • Experience in AI model evaluation., • Strong analytical and problem-solving skills. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join our dynamic and multidisciplinary team of independent and entrepreneurial computer scientists and engineers. In this role, you will collaborate with scientists and researchers in various areas, including data analysis, compression, text processing, graph analysis, machine learning, information visualization, as well as others. Responsibilities: • Collaborate with scientists and researchers in various areas to develop state-of-the-art algorithms, software, and computer systems solutions to challenging problems., • Assess the requirements for data science research from Applied Physics and the Advanced Propulsion Laboratory., • Engage with other developers frequently to share relevant knowledge, opinions, and recommendations, working to fulfill deliverables as a team., • Design technical solutions independently, participating as a member of a multidisciplinary team to analyze client requirements and designs, and implementing software and performing analyses to address these needs., • Develop and integrate components for creating an operational information and knowledge discovery system. Requirements • Bachelor’s degree in computer science, computer engineering, or related field, or the equivalent combination of education and related experience., • Comprehensive knowledge of one or more of the following: high-performance computing, scientific data analysis, statistical analysis, computer security, systems programming, and/or large-scale data management., • Skilled in all phases of software development, including but not limited to feasibility requirements, design, implementation, integration, testing, and deployment., • Experience developing software with C++, C, Java, Python, R, or Matlab, software applications in Linux, UNIX, Windows environments, data analysis algorithms, data management approaches, relational databases, or machine learning algorithms., • Ability to successfully handle multiple time-sensitive projects across several disciplines., • Proficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information. Benefits We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

Job DescriptionAbout Us: OptionMetrics, headquartered in New York, NY. is a dynamic and innovative technology company, a trusted provider of financial information and research derived from the option markets. We are at the forefront of developing solutions that empower businesses. Our commitment to excellence, coupled with a collaborative, forward-thinking culture, has made us the preferred choice for top-tier talent. Our data and analytics models are utilized by over 350 investment banks, hedge funds, asset management firms, and academic institutions globally, solidifying our position as a leader in the industry. At OptionMetrics, we are seeking a curious, analytical, and detail-oriented Quant Associate to join our Quantitative Research team. This is an excellent opportunity for an early-career quantitative professional who is passionate about financial modeling, derivatives, and applied research. As a Quant Associate, you will partner closely with our Senior Quantitative Researchers on a variety of quantitative research initiatives, contributing to the development and enhancement of our industry-leading options analytics platform. You will have the opportunity to work on challenging problems, develop innovative models, and see your work directly impact our products and clients. We are a small, agile organization that values intellectual curiosity, collaboration, and craftsmanship. We emphasize quality over expediency and encourage our team members to take ownership of their work from concept through implementation. You'll be surrounded by exceptionally bright colleagues who are passionate about solving complex financial problems and advancing quantitative research. Location: Hybrid (New York City) What You'll Do: • Assist in the development, implementation, and maintenance of the firm's option pricing models and quantitative analytics., • Partner with Senior Quantitative Researchers on research initiatives and model enhancements., • Contribute to the development of new products, quantitative tools, and analytics., • Collaborate with the Head of Quantitative Research to understand client needs and help develop innovative quantitative solutions., • Conduct statistical analysis and quantitative research using large financial datasets., • Validate, test, and improve pricing models to ensure accuracy, robustness, and performance., • Document research findings and communicate technical concepts clearly to both technical and non-technical audiences. Skills You'll Need: • Master's degree (M.S.) or higher in Financial Engineering, Quantitative Finance, Econometrics, Statistics, Applied Mathematics, Physics, Computer Science, or another highly quantitative discipline., • Strong interest in derivatives, option pricing, financial markets, and quantitative modeling., • Proficiency in at least one programming language such as Python, C++, or Java., • Strong analytical and problem-solving skills with exceptional attention to detail., • Excellent written and verbal communication skills., • Ability to manage multiple priorities while working both independently and collaboratively. What Will Make You Stand Out: • Academic or research experience in derivatives, stochastic calculus, numerical methods, or financial modeling., • Experience implementing quantitative models in Python or C++., • Familiarity with options pricing models such as Black-Scholes, binomial trees, Monte Carlo simulation, or finite difference methods., • Experience working with large financial datasets and statistical analysis., • Exposure to machine learning techniques or predictive modeling., • Internship or research experience within quantitative finance, financial engineering, or capital markets., • Intellectual curiosity, a desire to continuously learn, and enthusiasm for tackling complex quantitative challenges.What We Offer:, • A collaborative environment where everyone's input makes a difference., • Paid time off: Vacation, Personal, Sick days, and Holidays., • Pre-tax commuter benefits (NJT, MTA, etc.) and 401k plan offered., • Full medical and dental insurance coverage.OptionMetrics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Further, OptionMetrics will not discriminate against applicants for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co‐worker, Pay Transparency Nondiscrimination . If you need a reasonable accommodation for any part of the employment process, please contact us by email and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. 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 We are looking for a Cryo Engineer to join our growing team at Bluefors in the United States. In this role, you will work hands-on with advanced cryogenic systems, supporting the assembly, testing, and commissioning of dilution refrigerator systems used in cutting-edge research and technology. This is an exciting opportunity for someone who is technically driven, eager to learn, and interested in working in a high-tech, international environment at the forefront of innovation. Interested? Keep reading! Your tasks will include performing system-level assembly and testing of cryogenic dilution refrigerators to ensure high-quality performance and reliability. You will support factory acceptance testing and participate in on-site installation and acceptance testing at customer locations. You will also deliver a wide range of expert services for Bluefors systems, ensuring customer satisfaction and system functionality. In addition, you will document system performance and processes in accordance with company standards and contribute to maintaining high-quality outcomes across all work. You may also support additional tasks as needed to meet team and organizational goals. We are looking for a candidate with a Master’s degree or higher in applied or technical physics. You should have strong technical aptitude and be comfortable working hands-on with complex systems in a laboratory or production environment. Basic IT skills and proficiency with standard office programs are required. The ideal candidate will demonstrate strong teamwork and customer service skills, along with a positive, hands-on attitude and commitment to high-quality work. You should be able to work both independently and systematically, while effectively communicating in English, both written and spoken. We also appreciate candidates with knowledge of safe cryogenic engineering practices and experience in experimental or low-temperature physics. A valid driver’s license with a clean driving record is required for visiting customer sites. Strong communication skills and the ability to work effectively in an international, collaborative environment will help you stand out. Candidates who demonstrate curiosity, adaptability, and a passion for continuous learning—while aligning with our values of quality, teamwork, and innovation—will thrive in this role. We offer you an interesting, challenging, and responsible position, along with the support of a highly skilled and growing global organization. This is an excellent opportunity for your professional growth in a dynamic, enthusiastic, and collaborative team where we work together and support each other. You will have the opportunity to develop your skills through hands-on experience, international collaboration, and exposure to cutting-edge technology in a rapidly evolving field. We offer a generous benefits package including medical, dental, vision, 401(k), training, vacation, and personal/sick time. Salary range: $100,000 – $125,000 annually, with potential for annual bonus Location: Brooklyn, NY (hybrid), with flexibility for remote work; candidates must reside in the NYC metropolitan area, California, or Chicago, IL Main Responsibilities include the following: Perform system-level assembly and testing of cryogenic dilution refrigerators Support factory acceptance testing and on-site installation at customer locations Conduct on-site system commissioning and acceptance testing Deliver expert technical services for Bluefors systems Document system performance, processes, and technical activities Ensure adherence to quality standards and procedures Support additional duties as assigned What We Expect from You Master’s degree (MSc) or higher in applied or technical physics Strong technical aptitude and hands-on approach to engineering work Basic IT skills and proficiency with standard office programs Fluency in English, both written and spoken Strong teamwork and customer service skills Ability to work independently and in a structured, systematic manner Positive, proactive, and hands-on attitude Commitment to high-quality work and continuous improvement Ability to align with company Leadership Principles and workplace competencies We Also Appreciate Knowledge of safe cryogenic engineering practices Experience in experimental or low-temperature physics Strong communication and presentation skills A valid driver’s license (minimum 1 year) with a clean driving record Experience working in an international or customer-facing environment A proactive mindset and willingness to learn and adapt A team-oriented approach with strong collaboration skills Alignment with company values, including safety, diversity, and continuous learning Physical Demands This role involves both office and technical/laboratory work. The employee may be required to sit, stand, walk, and use hands for detailed technical tasks. Occasional lifting, handling of equipment, and extended periods of focus may be required depending on the task. Work Environment This role operates in a hybrid environment, including office, laboratory, and customer site settings. The employee will interact with both internal and external stakeholders in a professional and collaborative manner. Travel may be required for customer site visits, including installations and commissioning. Work may involve exposure to technical environments where safety procedures and personal protective equipment (PPE) are required. This role does not offer sponsorship for work authorization. Bluefors Cryocooler Technologies, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration regardless of disability status, veteran status, or any other New York State or federally protected characteristic.

Remote contract for PhDs in Physics, Applied Physics, or related fields. Work on cutting-edge projects with top AI labs while earning $100+/hour, fully remote, with flexible weekly hours. No AI experience required Role Overview Help fine-tune large language models (like ChatGPT) using your physics skills. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks. Responsibilities • Design advanced physics problems to test AI performance (e.g., mechanics, electromagnetism, thermodynamics)., • Develop clear, step-by-step solutions with rigorous logic., • Evaluate AI outputs for accuracy and quality of reasoning., • Collaborate with researchers to refine benchmarks across undergraduate to PhD-level physics topics. Requirements • PhD (pursuing or completed) in Physics, Applied Physics, or a related field., • Strong physics reasoning and problem-solving skills across advanced domains., • Ability to communicate complex ideas clearly in writing and provide structured feedback., • No AI experience required Perks • Fully remote, flexible work., • Work on cutting-edge AI projects with leading LLM companies. Offer Details • Pay rate: $100+/hour (depends on role and candidate expertise), • Assessment: Shortlisted experts complete an evaluation before selection., • Assignments: Contract roles with defined start/end dates; up to 40 hrs/week. About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.

Job Description We are seeking an Installation Field Service Technician to join our growing U.S. Service team at Bluefors. In this role, you will lead the installation and commissioning of our industry-leading dilution refrigerator systems at customer sites across North America, working closely with our U.S. Service team and engineering colleagues in Finland. This is an exciting opportunity for a hands-on technical professional who enjoys solving complex challenges, traveling to customer sites, and working at the forefront of cryogenic technology supporting quantum computing and advanced scientific research. Interested? Keep reading! Your tasks will include leading the installation and commissioning of Bluefors dilution refrigerator systems at customer facilities throughout your assigned region. You will collaborate closely with our U.S. Service team and Finland engineering team during complex installations, learning system-specific expertise while ensuring a seamless transition to long-term customer support. You will perform pre-installation site assessments, communicate facility requirements with customers and planning teams, and conduct functional testing, initial cooldowns, and system validation according to Bluefors installation protocols. You will document system configurations, installation activities, and technical findings to create comprehensive service records for each system throughout its lifecycle. When not supporting installation projects, you will assist the service team with preventive maintenance, troubleshooting, and on-site customer support visits. This position requires travel throughout your assigned region, with occasional travel to other regions as business needs require, as well as a 1–2 month training period at our headquarters in Helsinki, Finland. We are looking for a technically skilled, customer-focused professional with at least three years of hands-on experience in field service, systems installation, or technical operations within a precision engineering environment. You are comfortable assembling, validating, and troubleshooting complex electro-mechanical systems while maintaining exceptional attention to detail. You understand the importance of thorough technical documentation and consistently produce clear installation reports and service handoff documentation. You enjoy working independently in laboratory and customer environments while collaborating effectively with global teams. Most importantly, you are eager to continuously learn, develop new technical skills, and contribute to exceptional customer experiences. In addition, experience working with cryogenic equipment, vacuum systems, or high-vacuum technology would make you stand out. We also value candidates with experience supporting customers in quantum computing, defense, semiconductor, or academic research environments. Familiarity with Salesforce or other fields service management software is beneficial, as is an associate or bachelor's degree in engineering, physics, or another technical discipline. Candidates who thrive in collaborative international environments demonstrate strong analytical problem-solving abilities and enjoy working with advanced scientific technologies will be especially successful in this role. We offer you an interesting, challenging, and rewarding position supported by a highly skilled and growing global organization. This is an excellent opportunity to expand your technical expertise while working alongside talented colleagues in an innovative and collaborative environment where teamwork, continuous learning, and mutual support are valued. You'll gain hands-on experience with world-leading cryogenic systems, participate in international training and collaboration, and contribute to technologies enabling groundbreaking scientific discoveries and quantum innovation. In addition, we offer a competitive benefits package including medical, dental, vision, 401(k), paid training, vacation, personal and sick time, and the opportunity to earn an annual performance bonus. Salary Range: $70,000–$100,000 annually, with eligibility for an annual performance bonus. Location: East Coast (Preferred locations: New York or New Jersey) Main Responsibilities Lead on-site installation and commissioning of Bluefors dilution refrigerator systems at customer facilities across your assigned region. Partner with the U.S. Service team and Finland engineering team during complex installations to ensure successful system deployment and knowledge transfer. Perform pre-installation site assessments and communicate customer site requirements before installation activities begin. Execute functional testing, initial system cooldowns, and validation according to Bluefors installation procedures. Document system configurations, installation activities, and technical findings for long-term service records. Support preventive maintenance, troubleshooting, and on-site service activities between installation assignments. Travel throughout your assigned region, with occasional travel to other regions as required. Perform additional duties as assigned. What We Expect From You Associate of Applied Science degree or equivalent technical experience. Three or more years of hands-on experience in field service, systems installation, or technical operations within a precision engineering environment. Experience working with complex electro-mechanical systems requiring precise assembly, testing, and validation. Strong technical documentation and communication skills. Ability to work independently while maintaining close collaboration with internal engineering and service teams. Comfortable working in laboratory environments, including cleanrooms and confined technical spaces. Valid driver's license and willingness to travel up to 60%. Motivation to continuously learn new technologies and develop new technical skills. Excellent command of English, both written and spoken. Authorization to work legally in the United States. We Also Appreciate Experience with cryogenic equipment, vacuum systems, or high-vacuum technology. Experience supporting quantum computing, defense, semiconductor, or academic research environments. Familiarity with Salesforce or similar field service management software. Strong analytical problem-solving skills and a structured approach to technical challenges. Professional, customer-focused communication style and collaborative mindset. Physical Demands While performing the duties of this job, the employee is frequently required to sit, stand, walk, reach with arms and hands, and have hand and finger dexterity. The employee is regularly required to see, talk and hear. In an office setting, the employee may occasionally, stoop, kneel, or crouch. The employee will frequently lift and/or move up to 25 pounds and occasionally lift and/or move up to 50 pounds. Work Environment This role operates in a hybrid environment, including office, laboratory, and customer site settings. The employee will interact with both internal and external stakeholders in a professional and collaborative manner. Travel may be required for customer site visits, including installations and commissioning. Work may involve exposure to technical environments where safety procedures and personal protective equipment (PPE) are required. This role does not offer sponsorship for work authorization. Bluefors, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration regardless of disability status, veteran status, or any other New York State or federally protected characteristic.

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic is looking for a Partner Enablement leader to own how we enable our cloud partner ecosystem. Claude reaches a significant share of enterprise customers through AWS, Google Cloud, and Microsoft Azure, and the sellers, solution architects, and delivery teams inside those organizations are often the first people a customer talks to about deploying frontier AI. This role makes sure they are ready. You will translate Anthropic's product and go-to-market strategy into repeatable programs that help cloud partner field teams find, qualify, and win Claude opportunities, and then deliver them well. That means building the enablement infrastructure end to end: onboarding, launch readiness, sales and technical training, certification pathways, co-sell playbooks, and the metrics that tell us whether any of it is working. The job runs in both directions, and internal enablement is a sizable portion of it. Just as important as readying partner field teams is making sure Anthropic's own GTM organization knows how to work with the hyperscalers: which partnerships we have and what each one actually covers, how co-sell and marketplace mechanics differ across the three providers, when to pull a partner into a deal, and the offering nuances that determine what we can and cannot do through each channel. This is a build role as much as a run role. Cloud partner enablement at Anthropic is early, so you will be designing the operating model at the same time as you are shipping against a fast launch cadence. You will work closely with Partnerships, Applied AI, Product Marketing, Sales, and each hyperscaler's own partner and enablement organizations. You will own the cloud partner enablement strategy across AWS, Google Cloud, and Microsoft Azure, defining what "ready" means for each partner motion and building the programs that get partner field teams there. That starts with the co-sell motion: you will build the playbooks that let partner sellers carry Claude into enterprise deals alongside our own team, and you will make sure those assets map to how each hyperscaler's marketplace and co-sell mechanics actually work. You will design and run scalable enablement programs rather than one-off training. That includes onboarding paths for new cloud partner teams, role-based learning journeys for sellers and a repeatable launch readiness motion so partner teams are current on every new model and capability we ship. This work runs in both directions. You will also enable Anthropic's own GTM team, making sure sellers and partner-facing staff know which cloud partnerships we have and what each one covers, how co-sell and marketplace mechanics differ across the three providers, when to bring a partner into a deal, and the offering nuances that shape what we can do through each channel. Keeping the field current as those agreements and offerings change is a standing part of the job. You will build the content and the systems behind it, curating what lives in our partner portal and learning platforms, establishing review and refresh governance so nothing goes stale, and creating enablement assets that hold up in front of technical and commercial audiences alike. You will also partner directly with the enablement and partner development teams inside each cloud provider to land Anthropic content inside their channels, which is how this work reaches scale. Finally, you will instrument the program. You will define the metrics that connect enablement activity to partner-sourced pipeline, certification attainment, and deal velocity. • Deep partner ecosystem knowledge, including a working understanding of how cloud co-sell motions operate in practice, from opportunity registration and marketplace transactions through to joint delivery, • Direct experience with one or more of AWS, Google Cloud, or Microsoft Azure, either from inside those organizations or from a partner or ISV working closely alongside them, • A proven track record building and maintaining enablement programs that scale, ideally from the ground up, with the certification frameworks, learning paths, and program operations to support them, • Experience enabling internal field teams, not just partners, on how to work with and through a partner ecosystem, • Strong go-to-market understanding and familiarity with enterprise sales cycles, enough to build content that sellers actually use and to speak credibly with field teams about pipeline and deal progression, • Excellent program management skills and the ability to run several concurrent workstreams against a fast launch cadence without losing track of quality, • Strong executive presence and the ability to influence stakeholders you do not manage, across both Anthropic and large partner organizations, • Exceptional communication skills, including the ability to translate complex technical concepts for mixed commercial and technical audiences, • Comfort operating in ambiguity, and a preference for building durable systems over shipping one-off deliverables, • A background in enablement or product marketing, • Experience launching technical products or platform capabilities through a channel or partner ecosystem, • Familiarity with LMS and partner portal platforms, and with certification delivery at scale, • Hands-on familiarity with LLM and AI developer tooling, or a demonstrated ability to get technical quickly in a new domain The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000—$310,000 USD Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process. #J-18808-Ljbffr

Job Description Job Title: Quantum Optics Scientist (Post-Doc) Location: Hoboken, NJ Division: Executive Department: R&D About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to operate at room temperature and low power at an affordable cost. The Company’s portfolio of core technology and products offer unique capabilities in the areas of high-performance computing, artificial intelligence, cyber security as well as remote sensing applications. Position Description We are seeking a Postdoctoral Researcher in Quantum Optics to join our research and development team focused on QCi’s entropy quantum computing solutions. This position is structured as a one-year contract, with the opportunity for extension based on satisfactory performance and mutual consent by both parties. The role emphasizes theoretical modeling and simulation of quantum photonic devices and systems and requires strong expertise in quantum optics. The successful candidate will collaborate closely with both the high-performance computing application team and the entropy computing hardware team to advance QCi’s next-generation computational technologies. Duties and Responsibilities • Develop and apply theoretical models of quantum photonic devices and systems relevant to entropy quantum computing., • Perform simulations of optical components, integrated photonic circuits, and light matter interactions to guide device design., • Explore new architectures in quantum optics that enhance the efficiency and scalability of entropy-based computing solutions., • Contribute to algorithm–hardware co-design by identifying opportunities where photonic implementations provide competitive advantages., • Explore and develop quantum algorithms compatible with entropy computing in collaboration with the scientific computing group at QCi., • Publish and present research outcomes in journals and conferences. Required Skills and Experience • PhD in Physics, Applied Physics, Electrical Engineering, or a closely related field with a focus on theoretical quantum optics., • Deep expertise in quantum optics, including fields such as quantum coherence, entanglement, cavity/circuit QED, or nonlinear optics., • Strong background in mathematical modeling and numerical simulation of photonic or quantum systems., • Proficiency in scientific programming languages such as Python, MATLAB, or C++., • Demonstrated research record with publications in leading journals., • Strong communication skills and ability to work collaboratively across interdisciplinary teams. Preferred Qualifications • Familiarity with quantum information science, quantum computing, or related computational approaches., • Experience with integrated photonics, waveguide-based systems, or light–matter interaction models., • Knowledge of statistical physics approaches to open quantum systems and noise modeling., • Industry, government, or academic R&D experience in quantum technologies., • Experience mentoring junior researchers or working in collaborative project teams. Quantum Computing Inc. (QCi) is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. Incumbent(s) in this position may be required to perform other duties and special assignments not specifically stated above. Statements outlined in this section are designated as essential job functions in accordance with the Americans with Disabilities Act of 1990.

Key Responsibilities** - Author original physics questions that test deep conceptual understanding, not surface-level recall - Ensure questions are unambiguous, self-contained, and precisely defined — all necessary information must be in the problem statement - Rate each question's difficulty: Med

Front Office Derivatives Strats working on product and pricing are responsible for implementing pricing algos and supporting the data pipelines for optimal price decisions. They also look after automation of structured derivative product flow, including automated booking, along with the respective tooling for sales and trading to improve the client top-tier facilitation. The team is looking for a candidate to continue the build of our cutting-edge exotic pricing platform.Responsibilities:Work on the development of a Java and Python platform for exotic pricingHelp Implementing systematic pricing methodology for exotics productsAutomate of the Exotics product flow, automatize the auto-quoting of derivative productsCreate tools to assist decision making & increase efficiency in tradingEnsure robust data pipelines and produce innovative methods in pricing our automated pricing algorithmsSkills Required:Very strong programming skills in Python, with good knowledge of Java to be able to support some back-end infrastructureGood understanding of the basics of exotic pricing (not from a mathematical perspective, but in terms of input/output and structure)A degree in a quantitative subject such as Engineering, Applied Mathematics, Physics, Software EngineeringDrive and desire to work in an intense team-oriented environmentAbility to communicate effectively in both written and verbal EnglishWHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.Expected base pay rates for the role will be between $150,000 - $200,000 per year for Associate and between $225,000 - $250,000 for Vice President at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.For more information, please visit: .Employment Type:Job Level:Vice PresidentPosted Date:May 06, 2026ATS Job Description Test:Department:Strats

JPMorganChase is forming a Mid-Frequency Strategies team focused on the research, development, and execution of systematic trading strategies. The group operates at the intersection of quantitative research and trading, developing strategies that span alpha generation, portfolio construction, risk management, and execution infrastructure — with statistical analysis and machine learning at the core. You will work alongside experienced traders, researchers, and technologists in a collaborative environment where research directly drives live trading decisions. The Mid-Frequency Trading Strategies team is located Globally across London, New York and Hong Kong.Job SummaryAs a Vice President or Executive Director within the Mid-Frequency Trading Strategies team, you will play a central role in designing and implementing JPMorgan Chase’s mid-frequency trading framework. You will be responsible for the full lifecycle of strategy development — from ideation and statistical research through production deployment and ongoing performance monitoring. This is a highly quantitative role requiring deep expertise in statistical modelling, machine learning, and financial markets, and is suited to someone who thrives at the boundary of research and live trading. Job ResponsibilitiesImprove the mid-frequency trading framework, including the architecture for signal generation, alpha combination, portfolio optimization, and execution logic, ensuring the platform is robust, scalable, and production-ready.Research and develop proprietary trading strategies using advanced statistical modelling and machine learning techniques, with a focus on identifying persistent, risk-adjusted alpha signals across relevant asset classes.Apply machine learning methodologies — including supervised and unsupervised learning, reinforcement learning, and time-series modelling — to extract predictive signals from large, complex datasets including market microstructure, alternative data, and macroeconomic indicators.Own the end-to-end research process, from hypothesis generation and backtesting through to live deployment, with rigorous statistical validation to guard against overfitting and data snooping biases.Develop and maintain production-grade implementations of trading strategies and supporting infrastructure, working with technology partners to integrate models into the live trading environment.Monitor live strategy performance, carry out PnL attribution, identify regime changes, and continuously iterate on models to maintain and improve P&L generation.Required Qualifications, Capabilities, and SkillsMaster's degree in a quantitative STEM discipline such as Statistics, Mathematics, Physics, Computer Science, or Financial EngineeringMinimum 5 years of experience in quantitative trading, quantitative research, or systematic strategy development role, ideally within a prop trading environment, hedge fund, or sell-side systematic trading deskDemonstrable expertise in statistical modelling, including time-series analysis, factor modelling, Bayesian inference, and hypothesis testing in a financial markets contextStrong machine learning proficiency, with hands-on experience applying ML techniques (e.g. gradient boosting, neural networks, regularization methods, dimensionality reduction) to financial prediction problems Strong Python programming skills, including experience with scientific computing libraries (NumPy, pandas, scikit-learn, PyTorch/TensorFlow)Strong analytical and problem-solving skills, with the ability to work independently and drive research from first principlesPreferred Qualifications, Capabilities, and SkillsPhD in quantitative STEM discipline such as Statistics, Applied Mathematics, Physics, or Machine Learning, with a research track record demonstrating rigorous application of statistical or computational methods to complex, real-world problems5+ years of hands-on experience in a proprietary trading environment — such as a systematic trading group, quantitative hedge fund, or prop trading desk, with direct ownership of or meaningful contribution to live strategiesProven track record in alpha research, including the full lifecycle of signal discovery: hypothesis generation, statistical validation, backtesting under realistic assumptions, and post-deployment performance attributionStrong command of machine learning techniques applied to financial prediction problems, with a demonstrated ability to critically assess model reliability, manage overfitting risk, and distinguish statistically significant signals from noise in low signal-to-noise environmentsExperienced in researching and developing mid-to-high frequency systematic strategies, with a nuanced understanding of how signal decay, turnover costs, and capacity constraints interact with strategy design at different frequency horizonsExperience with cloud-based data and compute infrastructure, particularly AWS, for large-scale data processing, model training, and research pipeline automation JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/VeteransJ.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Full timePosting Date: 2026-05-04

Company Profile:Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment, and wealth management services. The Firm's employees serve clients worldwide, including corporations, governments, and individuals from more than 1,200 offices in 43 countries.In the Firm Risk Management division, we advise businesses across the Firm on risk mitigation strategies, develop tools to analyze and monitor risks and lead key regulatory initiatives. What you’ll do in the role: Morgan Stanley Services Group, Inc. is seeking a Vice President, Risk/ Policy Mgmt in New York, New York to develop, enhance, and maintain macroeconomic forecasting and scenario generation models used for firmwide and regulatory stress testing. Scenario production including model development, estimation, documentation, validation support, and ongoing monitoring. Assist in economic research, statistical modeling, machine learning, and methodology development to enhance the scenario design framework. Drive automation and process improvements using Python, R, and analytics tools. Produce audit-ready model documentation in line with internal governance and regulatory expectations. Partner with Model Risk Management, Internal Audit, Finance, and Regulatory Affairs on reviews and examinations. Communicate analytical results to senior management and governance committees. Provide support to software tool development and testing and scenario design documentation. Telecommuting permitted up to 2 days per week.What you’ll bring to the role:-Requires a Master’s degree in Physics, Financial Engineering, or a related field of study-Requires three (3) years of experience in the position offered or three (3) years as a Director, Associate, or a closely related occupation.-Requires three (3) years of experience with the following skills:Econometric and statistical modeling techniques applied to macroeconomic and financial risk analysis;Scenario‑based forecasting and stress‑testing methodologies for regulatory and internal capital planning;Time‑series modeling technologies including econometric modeling, structural break analysis, and back test analysis;Developing and maintaining macroeconomic modeling frameworks and satellite models;Vendor tools including Oxford Economics Macro Models;Scenario production platforms and workflows, including quarterly path generation, validation, and publication controls;Data production technologies for large‑scale macro‑financial datasets including usage of external data sourcing and data quality checks tools including Haver Analytics;Python for quantitative modeling, automation, and production deployment;Python and R programming for statistical analysis, model estimation, diagnostics, and testing;Relational data technologies for data extraction, transformation, and validation;Model testing, validation support, and remediation processes aligned with Model Risk Management (MRM) standards;Automated documentation generation tools including Rmarkdown;Automated documentation techniques for model methodology, assumptions, and governance artifacts;Developing analytical utilities and visualization technologies including dashboards, charting, severity comparison tools;Version control and collaborative development technologies including Git for model and code lifecycle management;Project management tools and techniques for tracking model development, remediation milestones, and delivery timelines; andPreparing technical materials for senior management, audit, and regulatory review forums.-Requires one (1) year of experience with the following:Generative AI tools for analytical workflows, automation, and productivity enhancement including the design and development of AI agents to support modeling, documentation, and process automation tasks.WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.Expected base pay rates for the role will be between $159,000 and $205,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.For more information, please visit: .Employment Type:Job Level:Vice PresidentPosted Date:Aug 06, 2026ATS Job Description Test:Department:Risk / Policy Mgmt

Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. Forward Deployed AI Engineers work directly with customers owning Gen AI strategy and implementation. On a daily basis, you will build end-to-end workflows, take them to production, and solve real world problems at the largest scale. You will have ample opportunity to contribute learnings from the field back to the Palantir AIP product suite. You will be on the forefront of extending Palantir's existing footprint and strategy into new markets and problem spaces opened up by Gen AI. Forward Deployed AI Engineers' responsibilities look similar to those of a hands-on AI startup CTO: you'll work in small teams to own delivery of high stakes projects with clients. A day's work may include building LLM workflows on a large scale, interacting with customers to understand their needs and set their AI strategy, but the most impact will be driven by implementing solutions into the real world of our partner's organizations. Do you aspire to be an entrepreneur or an Applied AI leader? We believe Palantir is the best place with the best colleagues to learn how! • Engineering mindset, focused on delivering production solutions with Gen AI, data processing pipelines, and advanced analytics tools., • Solving real business problems, not academic benchmarks., • Ability to collaborate efficiently in teams of technical and non-technical individuals., • Comfort working in a dynamic environment with evolving objectives and direct iteration with users., • Past experience building solutions with LLMs and a deep understanding of overall Gen AI landscape., • Strong foundation in Machine Learning basics (Evaluation, Training, Problem Decomposition)., • Strong engineering background. Preferred fields include but are not limited to Computer Science, Mathematics, Software Engineering, Physics, and Machine Learning., • Strong coder with demonstrated proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar., • Ability and interest in traveling up to 25%, as needed to client sites, but flexible based on personal preferences. The estimated salary range for this position is estimated to be $135,000 - $200,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual's relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance Employees are automatically covered by Palantir's basic life, AD&D and disability insurance Commuter benefits Take what you need paid time off, not accrual based 2 weeks paid time off built into the end of each year (subject to team and business needs) 10 paid holidays throughout the calendar year Supportive leave of absence program including time off for military service and medical events Paid leave for new parents and subsidized back-up care for all parents Fertility and family building benefits including but not limited to adoption, surrogacy, and preservation Stipend to help with expenses that come with a new child Employees can enroll in Palantir's 401k plan We want every Palantirian to achieve their best outcomes, that's why we celebrate individuals' strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians' lives is just one of the ways we're investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir's values and culture, we believe employees are "better together" and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for "Remote" work on an exceptional basis. If you are applying for one of these roles, you must work from the state in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are proud to be an Equal Opportunity Employer for all, including but not limited to Veterans and those with disabilities. Palantir is committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please reach out and let us know how we can help. Please note that you will never be asked to submit a payment or share financial information to participate in our interview process. If you suspect that you've been contacted by a scammer, we recommend you cease all communication with the individual and consider reporting them to the relevant authorities, such as the US FBI Internet Crime Complaint Center (IC3). If you would like to understand more about how your personal data will be processed by Palantir, please see our Privacy Policy .

San Francisco, CA | New York City, NY | Seattle, WA Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As the Manager of the Partnerships Applied AI Solutions Architect team, you will drive adoption of frontier AI by enabling deployment of Anthropic's products (Claude for Enterprise, Claude Code, API) through our Global and Regional System Integrators, cloud partners (AWS, GCP, Azure), and strategic technology partners. You will build and lead a team of Partner Solutions Architects, establish processes and best practices for partner-led pre-sales engagements, and represent Anthropic as the technical lead on its most important partnerships. In collaboration with Sales, Partnerships, Product, and Engineering, you will help partners incorporate leading-edge AI into their practices, accelerate indirect revenue, and execute long-term GTM strategy while maintaining our best-in-class safety standards. • Team Leadership & Development: Hire, manage, and mentor a team of Partner Solutions Architects. Set goals, run reviews, and coach each team member toward high productivity and career growth., • Strategic Technical Partnership: Act as the senior technical thought partner to Anthropic's GTM partnerships team. Co-build partner strategy with aligned GTM leadership, drive key programs, and align cross-functional stakeholders (Sales, Product, Engineering) behind partner outcomes., • Partner Enablement & Ecosystem: Embed your team with GSI and cloud partner technical teams to enable their AI practices, troubleshoot, and evangelize Anthropic in their developer communities. Represent Anthropic at partner events (GSI workshops, AWS/GCP summits, hackathons) and contribute technical content and thought leadership., • Joint Solution Development: Lead partners in identifying high-value, industry-specific GenAI applications. Develop joint solutions and codify reference architectures and best practices to accelerate time to deployment., • Customer Deal Support: Own the technical portion of partner-led pre-sales engagements. Intervene directly on strategic deals where partners are the primary delivery vehicle, providing deep solution architecture guidance., • Product Feedback: Gather and validate feedback on Anthropic's products from partner deployments and deliver it to Product and Engineering to inform roadmap and partner strategy., • 7+ years in technical customer-facing or partner-facing roles (Solutions Architect, Sales Engineer, Partner SE, TAM)., • 3+ years managing pre-sales or partner-facing technical teams; comfortable building foundational teams in ambiguous, fast-moving environments., • Track record building and scaling partnerships with GSIs (e.g., Accenture, Deloitte, TCS, Infosys) and/or cloud providers (AWS, GCP, Azure)., • Deep understanding of partner-led selling and delivery: indirect revenue models, enablement at scale, and joint GTM motions., • Technical depth in enterprise AI deployments: LLM architecture, prompt engineering, evaluation, API integrations, and production use cases., • Exceptional communication and executive presence; able to build trusted relationships with C-suite, partner leadership, and engineering teams alike., • A love of teaching and mentoring, and a passion for advancing safe, beneficial AI., • 5+ years leading partner-facing SA teams through hypergrowth, including developing both senior and junior talent., • Direct experience helping GSIs or consultancies build their AI/ML practice - enablement programs, certification paths, joint solution development. The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $315,000 - $380,000 USD Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any linksvisit anthropic.com/careers directly for confirmed position openings. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact advancing our long-term goals of steerable, trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries.As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.The Machine Learning team in the Wealth Management (WM) Strategy & Analytics division at Morgan Stanley works on a breadth of applied AI research areas including but not limited to recommender systems, client personalization, graphical neural networks (GNNs), and natural language understanding/LLMs. We provide machine learning (ML) solutions to our internal stakeholders across all our clients channels (Advisor-led, Workplace, and Self-directed) and Product organizations (Investment Solutions, Bank) as well as functions (Marketing, Risk). Our ML scientists ideate, innovate, design, prototype, and ship ML solutions delivering delightful new experiences to 20M+ WM clients.ResponsibilitiesLead the design, development, and delivery of end-to-end machine learning solutions to address strategic business opportunities in Wealth Management, delivering measurable business outcomes.Leverage AI/ML modeling and algorithms to deliver use cases supporting the growth plan across Client advisor and product strategy.Build modeling solutions at speed and scale to solve complex business problems across large client and advisor populations.Investigate, design, and create experimental prototypes focused on specific business domains and verticals.Analyze large, complex data sets to quantitatively reveal underlying patterns, correlations, trends, and growth opportunities.Strive to develop and experiment with state-of-the-art algorithms, including advanced machine learning, deep learning, recommender systems, and emerging AI approaches.Support and enhance existing models to ensure improved performance, stability, scalability, and business impact.Set up and conduct large-scale experiments, including A/B tests, to test hypotheses and drive business growth.Validate machine learning models in collaboration with validation teams to ensure accuracy, reliability, explainability, and compliance with model governance standards.Deploy machine learning models in production environments in collaboration with MLOps and technology teams, and monitor performance over time.Participate in and lead code reviews, modeling reviews, and technical design discussions to raise engineering and modeling standards across the team.Build, grow, and strengthen partnerships with business stakeholders, Marketing, Digital, Product, Risk, Legal, Compliance, Technology, and other cross-functional partners.Create executive-ready presentations and analytical narratives to effectively communicate modeling results, business implications, and strategic recommendations to senior stakeholders.Mentor junior data scientists and contribute to the development of team best practices, reusable modeling assets, and scalable AI/ML frameworks.QualificationsMaster’s degree or Ph.D. preferred in an analytical or technical field such as Computer Science, Engineering, Applied Mathematics, Physics, Statistics, Operations Research, or an equivalent quantitative discipline.Minimum of 8 years of professional experience in data science, machine learning, AI, advanced analytics, or a related quantitative field.Advanced knowledge of statistical and machine learning methods, particularly in modeling, classification, regression, recommender systems, clustering, deep learning, and experimental design.Demonstrated hands-on experience building models at speed and scale to solve complex commercial or business problems.Experience conceiving, implementing, deploying, and continually improving machine learning projects in production or production-like environments.Minimum of 8 years of experience programming in SQL, Python, and/or R.Proficiency in autonomously conducting applied ML research with commercial applications and translating business problems into scalable modeling solutions.Strong familiarity with higher-level trends in artificial intelligence, generative AI, LLMs, and open-source AI/ML platforms.Experience working with AWS, Azure, Google Cloud, or similar cloud platforms.Experience with code versioning systems such as GitHub or Bitbucket, and experiment tracking systems such as MLflow or equivalent.Proficiency with computer science fundamentals, including object-oriented design, data structures, and algorithmic design.Strategic thinker and influencer with demonstrated leadership acumen, problem-solving skills, and ability to drive outcomes across cross-functional teams.Strong communication skills with experience presenting technical concepts, modeling results, and business recommendations to senior business stakeholders.Familiarity with visualization techniques and software to communicate analytical insights effectively.Proficiency in EnglishPreferredExperience with Cloud or Big Data technologies such as Azure, AWS, Google Coud, Hadoop, or an equivalentFamiliarity with Deep Learning frameworks (PyTorch, Tensorflow, PyTorch – Geometric, or equivalent).Experience with Graphical Neural Networks, Reinforcement Learning, LLMs, Transformer based Models, or Recommender Systems is a plus.Track record of publishing in peer-reviewed scientific journalsWHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.Expected base pay rates for the role will be between $115,000 and $190,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.For more information, please visit: .Employment Type:Job Level:Vice PresidentPosted Date:Jul 24, 2026ATS Job Description Test:Department:Administration

San Francisco, CA | New York City, NY Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Strategic Technical Partnership: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any linksvisit anthropic.com/careers directly for confirmed position openings. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact advancing our long-term goals of steerable, trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Job ID: 26003645Posted: 2026-07-29Location: New York, NY, United StatesSalary: $123,000.00 to $215,250.00 annually + bonus + benefitsSchedule: Full timeShift: DayWorkplace: HybridCareer Area: Analytics & Risk ManagementCompany: American ExpressDescriptionGlobal Commercial Services (GCS) is the global leader in providing payments solutions for Small, Medium, and Large Enterprises. We are in the business of helping our clients get business done! Accelerating sales and driving profitable charge volume growth are critical for the success of the organization. The Sales Enablement team is instrumental in driving these objectives. The Senior Manager will play a critical role supporting the development of growth and data-driven strategies to improve Sales portfolio performance and drive execution, while working alongside senior leadership within GCS. The ideal candidate should demonstrate creativity, curiosity, and passion for dealing with large amounts of data and converting it into valuable, actionable information. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing data-driven solutions. The position will provide consultative support to the GCS Sales leadership team through development of analytical solutions. The incumbent will highlight trends, risks, and opportunities to enhance business decision-making processes, while working very closely with Sales, Marketing, Finance, Technology, and Capabilities partners to drive Sales growth. The incumbent will lead a team of data scientists to design, develop, and test ML/AI-derived solutions that deliver higher client engagement and efficiency improvements. The role is positioned at a unique intersection of deepening analytics and informing business outcomes. This is a fast-paced environment requiring a mix of strong relationship skills, passion for applied data science, people leadership, and a singular focus on excellence.ResponsibilitiesLead Data Science Projects: Design, develop, and deploy predictive and explanatory analytical solutions that address critical business problems using machine learning, NLP, and generative AI. Strengthen forecasting, refine incentive plan designs, and identify gaming behaviorsDrive Analytics: Deliver high-impact analytics to inform strategy by developing actionable insights into Sales and client behavior. Introduce new approaches to transform complex behavioral data and influence decision-making across the organizationGenAI Analytics Use Case Development: Lead key workstreams in the design, development, and operationalization of a GenAI-enabled analytics solution that synthesizes internal performance and external competitive signals into actionable insights, with defined success metrics and ongoing monitoringDevelop Modeling Capabilities: Build and evaluate models using modern ML frameworks (e.g., TensorFlow, PyTorch), focusing on scalability, performance, and interpretabilityPeople Leadership: Lead a team of high-performing data scientistsCollaborate Across Teams: Establish and maintain close relationships with key cross-functional stakeholders to understand business strategies, develop goals, and address opportunitiesDevelop Scalable Solutions: Architect and deploy robust, efficient, and scalable data pipelines and modeling solutions using modern cloud and distributed compute patternsLead Innovation Through External Perspective: Stay current on advancements in machine learning, deep learning, and generative AI; evaluate emerging approaches; translate theoretical advances into practical, scalable solutions that advance business outcomes. Challenge the status quo and demonstrate strong curiosityDefine Performance Indicators: Lead analytics and measurement across key performance indicators. Own stakeholder and executive-level communications on initiative progress, including automated monthly measurement tied to specific strategic initiativesCommunicate Insights Effectively: Present findings, recommendations, and results to both technical and non-technical audiences, including executive leadership, through clear reports, visualizations, and presentations, to enable data-driven decision-makingQualifications4-5 years of relevant work experience Bachelor’s degree required, preferably in a quantitative field (e.g., Economics, Finance, Computer Science, Mathematics/ Statistics, Engineering) Strong analytical and conceptual thinking acumen, with ability to translate complex, unstructured business problems into quantitative models. Leverage external insights and tools (from academia or other industries) where needed Capable of articulating key findings to senior leadership and stakeholders, leveraging insights to influence business decisionsFamiliarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and experience applying algorithms to real-world business problemsHigh proficiency in Python/SQL is required; experience with Hadoop and Spark is a plus Experience with data querying and distributed analytics tools (e.g., Hive, PySpark, BigQuery) is required Experience in a Big Data environment, including data mining and data processing. Ability to address performance issues and to manipulate both structured and unstructured data Demonstrable experience with data visualization and reporting tools (e.g., matplotlib, seaborn, Tableau) Proficiency with industry-recognized ETL methods, processes and standards Advanced knowledge of Microsoft Office Suite (Excel pivot tables, deck-writing)Ability to work independently as well as collaboratively in a dynamic, cross-functional environment, with a strong attention to detail and passion for learningPreferred Qualifications:Masters/PhD in a quantitative field (Computer Science, Statistics, Econometrics, Mathematics, Physics, Operation Research, Engineering, etc.) 2+ years’ experience of applying machine learning techniques to real-world business problems, including exposure to production ML and/or GenAI (e.g., LLM prompting, RAG, evaluation)Stakeholder management at the executive level People leadership experienceDepending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.About the TeamAt American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

As the Product Manager for Tax, you will own the vision, strategy, and roadmap for Ramp's next generation of AI-powered tax products. You will build solutions to automate tax calculation, validation, and filing for our existing suite of products (card, bill pay, banking, etc), for both domestic and international use cases. You'll also be accountable for expanding Stack - our agentic accounting product - into the tax automation domain, to automate the work of CPAs. You'll partner closely with engineering, design, data, and cross-functional stakeholders (Finance, Legal, Security, CX, Sales) to build intelligent experiences that help customers save money, reduce risk, and eliminate manual work. This role blends AI-native product development (LLM-powered workflows, evaluation systems, human-in-the-loop design) and deep domain expertise in domestic/international tax and CPA's workflows. You will define and execute a strategy that will unlock new markets for Ramp and help us save our customers even more time and money. Please note that this role requires in-person presence at our NYC or SF office at least 2 days/week. • Own the product vision, strategy, and roadmap for Ramp's tax products, from foundational tax infrastructure to customer-facing calculation, reporting, and filing experiences., • Build tax automation across Ramp's existing products, including Cards, Bill Pay, Banking, and other financial workflows, for both domestic and international customers., • Expand Stack, Ramp's agentic accounting product, into tax by automating high-value CPA workflows such as data collection, workpaper preparation, review, filing, and client follow-up., • Develop a deep understanding of finance teams, tax leaders, accountants, and CPAs, then translate their most painful manual workflows into focused product bets., • Partner with engineering and data science to ship AI systems that are reliable in production, with clear evaluation methods, quality metrics, feedback loops, fallbacks, and human-in-the-loop controls., • Design for trust in a regulated domain through explainability, auditability, source traceability, graceful degradation, and clear user controls., • Translate complex and changing tax rules into scalable product, data, and platform capabilities that can support new geographies, entities, and product lines., • Lead high-velocity execution with engineers and designers, balancing product intuition with customer evidence, data, and rapid iteration., • Drive cross-functional alignment on dependencies and launch readiness, including Finance, Legal, Security, CX, Sales, compliance review, customer communication, and supportability., • BA/BS in a technical or analytical field (e.g., Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or related)., • Minimum 5 years of product management or adjacent product-building experience., • Strong domain expertise in tax, accounting, or finance, with a practical understanding of how businesses or accounting firms calculate, review, report, and file taxes., • Strong product judgment and first-principles thinking across complex workflows, data products, integrations, and user experiences that drive real decisions., • AI fluency and passion, demonstrated through hands-on experience building AI features, prototypes, or side projects, plus an understanding of evaluation, retrieval, latency, cost, safety, and accuracy tradeoffs., • A track record of building products that require trust, including explainability, auditability, graceful degradation, and clear human controls., • Comfort collaborating in technical environments (Figma, Git) and using modern prototyping tools (e.g., Claude Code, Cursor)., • Fluency with experimentation and product metrics, plus strong instincts for when qualitative customer discovery is required., • Proven ability to lead cross-functional teams with urgency and ownership, set direction, make tradeoffs, and deliver measurable outcomes., • Excellent communication and storytelling skills, with the ability to translate between tax experts, technical teams, and non-technical stakeholders., • Experience building tax calculation, compliance, reporting, or filing products for businesses, accountants, or tax professionals., • Familiarity with one or more tax domains such as sales and use tax, VAT/GST, 1099 filing, etc, • Experience building AI-powered products used in production, including LLM workflows, agents, evaluation systemsr, or document understanding., • Experience with financial products, payments, accounting software, ERPs, or data integrations that support tax workflows., • Experience working with CPA firms, tax practices, or finance teams during tax preparation and filing cycles., • Experience at a high-growth startup, especially taking complex 0?1 products from initial concept to scaled adoption., • Flexible PTO, • Centralized home-office equipment ordering, • Health and wellness stipend, • Budget for intra-office travel, • Weekly coffee stipend, • 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents, • One Medical annual membership, • 401(k), including employer match on contributions made while employed by Ramp, • Fertility HRA (up to $10,000 per year), • Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, • Pet insurance, • In-office perks: lunch, snacks, drinks, and more, • Relocation support to NYC or SF (as needed), • Group medical, dental, and vision coverage through Sun Life, • Life, AD&D, and disability coverage, • Fertility drug coverage (up to $4,000 lifetime), • Group Retirement Plan with employer match (RRSP + DPSP), • Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay, • Employee Assistance Program and virtual care through Lumino Health, • Private medical insurance through Freedom Elite, • Virtual GP and at-home care via eMed x Livi, • Workplace pension through Penfold, with salary sacrifice option, • Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay If you are being referred for the role, please contact that person to apply on your behalf. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Beware of recruiting scams: Ramp will only contact you through official @ Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process. Ramp Applicant Privacy Notice

Job ID: 94737235216Posted: 2026-07-13Location: New York, New York, United StatesCategory: Institutional Trading, ExecutiveCompany: CitiWe are seeking a highly motivated and analytical US Rates Strategist to join our dynamic Treasury Trading team. The successful candidate will be responsible for developing and articulating macro and micro investment strategies across the US interest rates spectrum. This role is integral to the trading desk, requiring close collaboration with traders to generate actionable trade ideas, provide in-depth market analysis, and contribute to the overall profitability of the business.The ideal candidate will possess a strong quantitative background, a deep understanding of fixed income markets, and the ability to thrive in a fast-paced, high-pressure environment.Key ResponsibilitiesMarket Analysis & Strategy Development:Conduct comprehensive analysis of macroeconomic data (e.g., inflation, employment, GDP), geopolitical events, and monetary policy to forecast the direction of US interest rates.Monitor and interpret Federal Reserve communications, policy decisions, and their implications for the yield curve and related markets.Develop and maintain quantitative models and analytical frameworks to identify relative value opportunities and mispricings in US Treasury securities (bonds, notes, bills), interest rate swaps, futures, and options.Trade Idea Generation & Communication:Generate and articulate clear, concise, and actionable trade ideas for the Treasury trading desk.Produce high-quality written research, including daily market commentary, thematic deep-dives, and ad-hoc analysis for internal distribution.Present market views, strategic outlooks, and specific trade recommendations to traders, sales teams, and senior management.Collaboration & Desk Support:Work directly with traders on the desk to refine trade ideas, structure positions, and manage risk.Provide real-time analysis and commentary on market-moving events and data releases.Assist in the development of new analytical tools and processes to enhance the desk's trading capabilities.Client Interaction (Potential):Engage with institutional clients to discuss market views, present investment strategies, and build the firm's franchise.Contribute to client-facing publications and marketing efforts.Qualifications & RequirementsA. Essential Qualifications:Experience: 3-7+ years of experience in a rates strategy, fixed income research, or macro-focused role at an investment bank, hedge fund, or asset manager.Education: Bachelor’s degree in a highly quantitative field such as Finance, Economics, Mathematics, Statistics, Physics, or Computer Science. A Master’s or PhD is strongly preferred.Product Knowledge: Deep expertise in US interest rate markets, including cash Treasuries, futures, options, and swaps. A thorough understanding of fixed income mathematics and yield curve dynamics is essential.Quantitative Skills: Strong quantitative, analytical, and problem-solving skills. Proven experience in building and maintaining financial models.Technical Skills: Proficiency in programming and data analysis using Python (with libraries like pandas, NumPy, SciPy) and/or R. Experience with database querying (SQL) is also required.Data Proficiency: Experience with financial data providers such as Bloomberg, Reuters, and Haver Analytics.B. Desirable Skills & Experience:A proven track record of generating profitable trade ideas.Experience with advanced statistical and machine learning techniques applied to financial time-series data.Excellent written and verbal communication skills, with the ability to distill complex topics into clear and actionable insights.Ability to perform under pressure and manage multiple tasks in a fast-paced trading floor environment.Strong interpersonal skills and a collaborative, team-oriented mindset.-------------------------------------------------Job Family Group: Institutional Trading-------------------------------------------------Job Family:Trading------------------------------------------------------Time Type:Full time------------------------------------------------------Most Relevant Skills Please see the requirements listed above.------------------------------------------------------Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.View Citi’s EEO Policy Statement and the Know Your Rights poster.

The AI startup growing faster than Canva We supported over 73 million patient visits in 18 months and became one of the fastest-growing companies in the world. Today, we support over 2 million patient sessions weekly across 116 countries and over 110 languages. Hundreds of thousands of clinicians use Heidi to complete documentation. Our mission is simple: strengthen the human connection at the heart of healthcare. We've found product-market fit with individual clinicians through our freemium medical scribe, transforming unstructured clinical visits into structured text artefacts. Clinicians and organizations quite like it. Now, we embark upon consuming more than just documentation. Every new job a clinician delegates to Heidi makes patients feel more attended to, cleans up health system logjams, and lets clinicians be clinicians again. That's where you come in. We're looking for a Product Manager who owns a portfolio of health system accounts and builds product that works in their environments. You are accountable for both the product and the revenue it generates. You will be embedded with health systems across the Americas, working alongside a commercial partner. You go on-site, observe clinical workflows, map what you see against Heidi's capabilities, and make build-vs-configure trade-offs. What you build for one account should make the next deployment faster; over time, deployment problems become configuration problems. You will partner closely with Heidi's Americas commercial team and core engineering teams. You need the activation energy to break down doors with customers and the product instinct to know when a shortcut today will cost three deployments tomorrow. We don't care about logos; the traditional insignia of competence. We'll evaluate senior well-credentialed candidates and young, hungry hopefuls alike. Own product and revenue outcomes for a portfolio of Americas health system accounts Go on-site with customers, observe workflows, and produce specs for discrete capabilities that Heidi can build and bill for Make build-vs-configure trade-offs for every engagement Own sprint delivery for your accounts: prioritise work, unblock engineers, make daily trade-off decisions between speed and reusability Build extensible product so what you ship for one account becomes a configurable module for the next Partner with your commercial counterpart to prioritise across accounts, negotiate scope, and manage customer expectations Connect field signal back to core product: attend rituals, surface learnings, advocate for shared investment when you see the same pattern repeating Drive adoption within customer accounts until clinicians use it daily Navigate compliance and regulatory requirements as product constraints Spent two days on-site at a 200-physician health system, observed documentation workflows across three specialties, and came back with three discrete PRDs that changed a core team's sprint priorities Identified that an orthopaedic group's pre-charting workflow broke because of a non-standard EMR integration; assembled a fix from existing capabilities and shipped it without waiting for a platform release Written a deployment playbook from your first account that made the second engagement two weeks shorter Built a relationship with a chief medical informatics officer who now advocates for Heidi internally and opens doors to department heads you'd otherwise never reach Made a commercial trade-off with your partner: deprioritised a small account's feature request to accelerate a larger deal that proved a use case worth three future deployments BA/BS in a technical or analytical field (e.g. Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or related) 4+ years in product roles, though we care more about what you've shipped than years on the clock A romantic streak about software and a belief that great design transforms someone's day You build with AI tools (Cursor, Claude Code, whatever ships faster) and can show what you've made with them Fluency with core LLM concepts and systems (prompting, fine-tuning, embeddings, retrieval, evaluation) and the judgment to translate these into reliable, user-facing products You default to building over requesting Strong opinions, weakly held; you'll shift the room when you're right Data fluency with diagnostic teeth; you can read adoption dashboards and distinguish a training problem from a product problem from an integration problem Are you an execution powerhouse? Have you shipped something this week? Are you good at games? Did you have a weird teenage hobby? Are you able to execute without a legion of data analysts, product marketers, and research coordinators at your beck and call? Does the prospect of making health systems a lot nicer make you feel fuzzy inside? Our health systems hurt everybody. Systems are log-jammed, clinicians' lives degrade in quality, and patients churn through the meat-grinder. This is neither a special nor interesting insight. However, it means we're solving a real problem. Hundreds of thousands of clinicians use Heidi. Every clinician using Heidi gets hours back in their day. This is the starting point to build the product of your dreams: immense distribution, and a world of potential. You'll join a team that doesn't celebrate fundraise milestones, imaginary valuations, and glossy PR. We live and breathe the pain of modern health systems, and won't rest until we've exacted the change we'd like to see. We're medicos, engineers, and designers who've felt (on every side of the equation) what non-care feels like - the moral and practical toll as a provider or receiver. The bad news is it's not an easy job - you will tear your hair out more than once. Modern technology company concepts don't transpose into healthcare easily. The lows are really low. The good news is you will trust and admire everybody you work with, and rest easy knowing you're doing THE defining work of your career. The highs are blindingly high. Heidi will take care of you. We offer healthcare, dental and vision benefits, a 401k with 3% company match, a $700 annual learning and development budget, a $100/month health and wellness allowance, a $500 home office budget, 26 weeks paid primary parental leave and 18 weeks paid secondary parental leave, fertility support up to $7,000, four weeks of work from anywhere per year, and serious equity. True A-players progress extremely fast here. The nature of the scale-up game is demanding, but we don't track hours or micromanage - you're trusted to perform. We value mental health and adapt to your schedule. We operate on outcomes > inputs, not process theatre. We all take the bins out, metaphorically and literally.

Company at a Glance OpenX is focused on unleashing the full economic potential of digital media companies. We do this by making digital advertising markets and technologies that are designed to deliver optimal value to publishers and advertisers on every ad served across all screens. At OpenX, we have built a team that is uniquely experienced in designing and operating high-scale ad marketplaces, and we are constantly on the lookout for thoughtful, creative executors who are as fascinated as we are about finding new ways to apply a blend of market design, technical innovation, operational excellence, and empathetic partner service to the frontiers of digital advertising. OpenX is seeking a Staff Data Scientist to join our Data Science team. Our exchange processes hundreds of billions of ad requests daily and generates petabytes of data, requiring advanced machine learning, deep learning, and modern AI techniques delivered through scalable platforms to create value for customers. A Staff Data Scientist is a senior technical leader whose impact spans multiple teams and business domains. In this role, you will solve complex marketplace problems, set technical direction for your domain, architect major ML systems, mentor other scientists, and partner with engineering and product leaders on data-driven strategy. Problems at this level include auction and marketplace optimization, bidding and yield strategy, relevance and prediction systems at exchange scale, causal measurement of marketplace changes, and capabilities for training, validating, and monitoring ML systems in production. The ideal candidate brings deep expertise in applied machine learning, strong judgment in selecting methods for business problems at scale, and a track record of translating business needs into high-impact data science solutions. Key Responsibilities: Technical Leadership & Architecture Architect robust, scalable, and maintainable ML systems for broad use across the exchange, spanning training pipelines, real-time inference, validation, and monitoring Serve as a go-to expert in deep learning and related advanced data science domains, with the breadth to guide method selection across adjacent areas Lead the evaluation and adoption of new AI/ML modeling techniques, frameworks, and research advancements relevant to OpenX's marketplace problems Define and evolve technical standards and best practices within their domain, influencing broader adoption across the organization Execution & Strategy: Identify and lead high-impact, cross-team data science initiatives, such as improving bidding strategies, building new prediction systems, or redesigning experimentation frameworks In partnership with engineering and product leadership, drive the data science roadmap for a product area or platform capability Partner with product managers and commercial stakeholders to translate marketplace problems into data science solutions with measurable business outcomes Solve novel, ambiguous problems requiring innovation in methodology, algorithms, or feature engineering Mentorship & Influence: Mentor and develop senior data scientists, helping them grow toward broader technical leadership Raise the skills, impact, and scientific rigor of teams around them through guidance, architectural patterns, and strategic direction Communicate technical strategy and build consensus for complex decisions across senior leadership and cross-functional teams Required Qualifications: Ph.D. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or related technical field with 6+ years of relevant industry experience; OR M.S./B.S. with 8+ years of relevant experience and a demonstrated track record of leading cross-team technical strategy and delivering organization-level impact Deep expertise in deep learning and broad fluency across the modern ML toolkit, with strong familiarity with optimization methods; additional experience in areas such as causal inference or experimentation design is a plus Proven ability to architect and deliver complex, production-grade ML systems that operate at scale Strong track record of nurturing DS/ML projects to maturity with significant business impact, including supporting and improving those systems beyond initial deployment Mastery of probability and statistics, especially techniques that scale to massive datasets Strong Python and SQL skills; experience with ML frameworks such as TensorFlow or PyTorch Strong communication and presentation skills, including proficiency in conveying complex technical concepts to both technical and non-technical audiences Track record of cross-team technical leadership and mentorship of senior data scientists and technical partners Desired Characteristics: Experience developing, evaluating, or optimizing bidding algorithms for RTB environments. Experience working with a cloud platform like GCP/AWS/Azure, with emphasis on GCP and the Vertex AI platform Experience with ML pipeline and orchestration tools such as TFX, Kubeflow, or Airflow Familiarity with other programming languages such as Java and Go Experience working in digital media, marketing technology, or advertising technology - especially in marketplace, auction, or exchange systems Track record of setting technical standards or best practices adopted beyond a single team * Experience representing data science capabilities or strategy in cross-functional forums $195,500 - $218,500 a year OpenX VALUES Our five company values form a solid bedrock serving to define us as a group and guide the company. Our values remind us that how we do things often matters as much as what we do. WE ARE ONE We are one team. There are no exceptions. We are a group of strong and diverse individuals unified by a shared mission. We embrace challenges and win together as a team. We respect and care about our colleagues and cultivate an inclusive culture WE ARE CUSTOMER CENTRIC We innovate on behalf of our customers. We understand, respect, and listen carefully to our customers. We build great products to solve our customers' problems. We manage our customers' expectations clearly and honestly. We are a trusted partner to all of our customers - we act with integrity at all times. We care. OPENX IS OURS We are all owners of OpenX We all have a voice to improve OpenX We stake our personal and professional reputations on the excellence of our work We are not interested in just "doing our jobs"; we take ownership to drive results WE ARE AN OPEN BOOK We understand and respect what each of us does. We are eager to teach and share what we know with others, both internally and externally. We are eager to learn from others and we ask questions internally and externally. WE EVOLVE FAST We take responsible risks and own and learn from our mistakes. We recognize and repeat success. We actively seek out and provide constructive feedback. We adapt quickly and embrace change. We tackle growth and learning with real urgency. We are endlessly curious. OpenX TRAITS Our three traits capture what makes a great team member at OpenX. HUMBLE Ideal team players are humble and demonstrate integrity. They put the team's success above their own, share credit generously, and value collective achievements. They are self-assured, open to coaching, and committed to continuous learning. DRIVEN Ideal team players are results-driven and motivated. They are curious, always seeking more to do, learn, and take on. As proactive problem-solvers, they take initiative without needing external motivation. They continuously think about the next steps and opportunities for improvement. SMART Ideal team players are smart and possess the intellectual acumen to understand the complexities of our organization and industry. They are interpersonally intelligent, good communicators, and exemplify sound judgment in their interactions across the company to foster a collaborative environment. OpenX is committed to equal employment opportunities. It is a fundamental principle at OpenX not to discriminate against employees or applicants for employment on any legally-recognized basis including, but not limited to: age, race, creed, color, religion, national origin, sexual orientation, sex, disability, predisposing genetic characteristics, genetic information, military or veteran status, marital status, gender identity/transgender status, pregnancy, childbirth or related medical condition, and other protected characteristic as established by law. OpenX Applicant Privacy Policy Applicants can review our Applicant Privacy Policy at any time by visiting the following link: https://www.openx.com/privacy-center/applicant-privacy-policy/. Effective Date of the Privacy Policy: November 21, 2024

About Gen: Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries. Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We're always looking for smart, fearless and high-impact talent who see AI as a teammate - leveraging it to move faster and deliver meaningful results. When you're part of Gen, you'll have the flexibility, tools and support to do your best work and grow your career - from flexible working options and time off to competitive pay, benefits and well-being programs. At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You'll work with people who back each other, respect each other and understand that our differences are a competitive advantage. If this sounds like you, we'd love you to be part of Gen. About the Role: We are seeking a Staff Data Scientist to join the Data Science team at Engine by MoneyLion. Engine by MoneyLion is the definitive search engine and marketplace for financial products, connecting consumers with personalized financial offers across loans, deposits, credit cards, and more through its robust API. Data Science powers Engine's offer recommendations, dynamic pricing, and enhanced decisioning across our network, working closely with financial partner managers and product teams to develop cutting-edge models that drive value across the consumer journey through our complex marketplace funnels. In this role, you will own critical model systems end-to-end-from data engineering and feature pipeline management through model development, deployment, and real-time serving. Your models will generate direct revenue impact in real time, and your data solutions will affect millions of users daily. You will lead technical initiatives across recommendations, pricing, and marketplace optimization, collaborating deeply with engineering, product, and business stakeholders to bridge the gap between advanced machine learning and tangible business outcomes. Key Responsibilities: Own and develop production ML models for real-time recommendations, pricing, and conversion prediction across the Engine marketplace. Design, build, and manage feature pipelines and data transformations in our data warehouse (e.g., Redshift, Snowflake) using tools like dbt, Airflow, and SQL to ensure high-quality, timely features for model training and serving. Lead the design, execution, and analysis of large-scale A/B tests and experiments, translating results into actionable product and model improvements. Collaborate closely with product managers, partner managers, and business stakeholders to translate complex business problems into well-scoped data science projects. Work hand-in-hand with engineering teams to deploy, monitor, and maintain ML models in production-including real-time serving infrastructure. Drive best practices across the team in model development, code quality, documentation, experiment design, and reproducibility. Contribute to the evolution of our MLOps platform and tooling, ensuring scalable and reliable model lifecycle management. Present findings, model insights, and strategic recommendations to executive and non-technical stakeholders with clarity and business context About You: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Physics, Economics, or a related quantitative field (or equivalent professional experience). 7+ years of experience across data science, machine learning, and data engineering, including: Designing and shipping production ML models and advanced analytics in applied, production-oriented settings using Python, SQL, and ML frameworks. Building real-time or near-real-time ML systems for recommendations, pricing, bidding, or similar use cases. Working with data warehouse technologies (Redshift, Snowflake, BigQuery) and building/managing data pipelines (dbt, Airflow, Spark). Strong foundation in statistics, probability, experiment design, and machine learning theory. Experience working with ML platforms and infrastructure (SageMaker, Spark, Ray, MLflow, or equivalent). Comfortable doing software engineering when needed-writing application code in Python/Scala/Java, contributing to APIs, containerizing services (Docker, Kubernetes), or building CI/CD for model deployments. Excellent communication skills-effective with both technical and non-technical audiences. Experience in fintech, financial services, or marketplace/auction environments is a strong plus. What's Next: Recruiter Interview Hiring Manager Interview Technical Interview Final Interview

Computer Science, Financial Engineering, Statistics, Applied Math, Physics) Strong foundation in statistics, ML, and AI, with proven real-world applications in finance Familiarity with AI tools for coding and innovation process * Excellent collaboration skills with quants, researchers, and engin

Electrical Engineering, Computer Engineering, Materials Science, Engineering Physics, or Applied Physics Technical hands-on laboratory experience in the areas of electronics, power systems, semiconductor fabrication and characterization, optics, renewable energy or related fields Excellent writt

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Waymo Driver is performing well in more and more cities, with our scale rapidly accelerating. Our team's job is to ensure that we can continue to evaluate safety and service quality across new cities and countries, each with their unique challenges. We need an experienced, technically hands-on engineering manager with strong quantitative skills to lead a small team and work with partners to scale eval and ML development by exploring new methods and delivering tools for mining and sampling data.In this hybrid role, you will report to a Senior Staff manager. You will: Develop tools for easy mining of novel situations that might impact safety from our driving logs for use in evaluation and ML datasets, using a mixture of ML and structured data Advanced sampling techniques and tuning of simulations to get strong signal for metrics and models from our datasets Build automation for our mining and sampling ecosystem so Waymo can rapidly scale to new cities Make hands-on technical contributions to both engineering and data science-oriented projects Provide strong management and technical leadership for a small team of data science-friendly engineers Partner with leads and teams across Waymo to determine and execute on strategy, including product, engineering, data science, frontend, and backend You have: Strong engineering design and programming skills Strong data fluency and analysis skills Familiarity with statistical methods including hypothesis testing, experiment design, and sampling Familiarity with foundational and contemporary ML concepts and practices Experience managing teams of up to 8 people BS/MS in Computer Science, Robotics, Statistics, Physics, Math, or other quantitative area 7+ years of industry experience with: C++, SQL, and Python experience Navigating and modifying a large code base containing C++, SQL, and Python Building data processing pipelines We prefer: Eval experience, such as building and validating metrics to measure quality in complex systems Strong statistical background (MSc-level stats or similar expertise from work experience) Strong ML background (MSc-level ML or similar expertise from work experience) Experience working in the AV industry and/or with simulations The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $281,000-$356,000 USD We appreciate your interest in Waymo. Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees. We welcome applicants of all backgrounds, and employment decisions are based on a candidate's qualifications, experience, and alignment with job requirements and business needs. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, family status, pregnancy, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to making sure our hiring process is accessible for all candidates. If you need assistance applying for a role or participating in the interview process due to a disability, please let the recruiting team know or email waymo-candidatesupport@google.com. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.)

JobID: 210691335 Category: Predictive Science JobSchedule: Full time Posted Date: 2026-07-10T19:00:11+00:00 JobShift: Base Pay/Salary: Jersey City,NJ $171,000.00-$260,000.00; New York,NY $171,000.00-$260,000.00 As a valued member of our Home Lending Data & Analytics Applied AI/ML team, you will be at the forefront of our firm-wide initiatives to innovate and enhance Data & Analytics functions through model development. Your contributions will be instrumental in transforming the processes and tools for modeling, analytics, and data. As an Lead Data Scientist within our Home Lending Data & Analytics team, you will work in close coordination with various teams in Data & Analytics, including Data Owners, Reporting, and Analysis. Your role will involve designing and implementing AI-powered solutions that boost operational efficiency, improve employee experience, and automate processes through agentic designs. Leveraging your expertise in artificial intelligence and data analytics, you will develop state-of-the-art applications that simplify processes and yield tangible business outcomes. Your valuable contributions will play a pivotal role in transforming our way of working, ensuring we remain at the cutting edge of the industry. Job Responsibilities: Designing and developing advanced AI/ML models, agentic systems, and generative AI solutions to solve complex problems. Write and deliver high-quality code for AI-driven Home Lending Data & Analytics initiatives, ensuring robust and efficient solutions that meet business objectives Work closely with Data Owners, Reporting, and Analytics teams to address and solve complex problems including AI, ML, and advanced analytics, with a focus on generative AI technologies and agentic system design Deploy and scale AI models to production environments, ensuring robustness, reliability, security, and compliance Fine-tune AI models for optimal performance and efficiency, addressing any issues that arise Work closely with data scientists, software engineers, and product teams to integrate AI solutions into existing systems and workflows Own and manage the entire code lifecycle, from development through production deployment and ongoing maintenance, adhering to best practices Develop and maintain comprehensive technical documentation for all AI solutions, ensuring clarity, accuracy, and accessibility for both technical and non-technical stakeholders Continuously monitor AI performance, making necessary adjustments to maintain and improve accuracy and efficiency Engage with stakeholders to develop, demonstrate, and iterate on deliverables, ensuring alignment with analyst needs and regulatory requirement Required qualifications, capabilities, and Skills: 7+ years of work experience. Masters degree in a quantitative field such as Data Science, Computer Science, Engineering, Math, Physics, etc Proven track record of delivering projects in the AI/ML and data analytics space Proficiency in Python. Experience with building Agentic systems, RAG systems, and foundation LLMs (e.g., GPT-5, Claude). Strong understanding of software engineering principles and practices, including version control, testing, and code optimization Technical documentation experience preferred. Preferred qualifications, capabilities and skills: Experience with AWS Cloud Platform and Databricks for deploying and managing machine learning models preferred.

A Bachelor's degree in Computer Science, Data Science, Statistics, Applied Mathematics, Machine Learning, Artificial Intelligence, Economics, Physics, or a related field is required. As Director, Marketing Data Science, you'll own the measurement strategy that determines how Zocdoc invests in reachi

A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed AI Engineers work directly with customers owning Gen AI strategy and implementation. On a daily basis, you will build end-to-end workflows, take them to production, and solve real world problems at the largest scale. You will have ample opportunity to contribute learnings from the field back to the Palantir AIP product suite. You will be on the forefront of extending Palantir's existing footprint and strategy into new markets and problem spaces opened up by Gen AI. Core Responsibilities Forward Deployed AI Engineers' responsibilities look similar to those of a hands-on AI startup CTO: you'll work in small teams to own delivery of high stakes projects with clients. A day's work may include building LLM workflows on a large scale, interacting with customers to understand their needs and set their AI strategy, but the most impact will be driven by implementing solutions into the real world of our partner's organizations. Do you aspire to be an entrepreneur or an Applied AI leader? We believe Palantir is the best place - with the best colleagues - to learn how! What We Value Engineering mindset, focused on delivering production solutions with Gen AI, data processing pipelines, and advanced analytics tools. Solving real business problems, not academic benchmarks. Ability to collaborate efficiently in teams of technical and non-technical individuals. Comfort working in a dynamic environment with evolving objectives and direct iteration with users. What We Require Past experience building solutions with LLMs and a deep understanding of overall Gen AI landscape. Strong foundation in Machine Learning basics (Evaluation, Training, Problem Decomposition). Strong engineering background. Preferred fields include but are not limited to Computer Science, Mathematics, Software Engineering, Physics, and Machine Learning. Strong coder with demonstrated proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar. Ability and interest in traveling up to 25%, as needed to client sites, but flexible based on personal preferences. Salary The estimated salary range for this position is estimated to be $135,000 - $200,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual's relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. Our benefits aim to promote health and wellbeing across all areas of Palantirians' lives. We work to continuously improve our offerings and listen to our community as we design and update them. The list below details our available benefits and some of the perks that can be enjoyed as an employee of Palantir Technologies. Benefits Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance Employees are automatically covered by Palantir's basic life, AD&D and disability insurance Commuter benefits Take what you need paid time off, not accrual based 2 weeks paid time off built into the end of each year (subject to team and business needs) 10 paid holidays throughout the calendar year Supportive leave of absence program including time off for military service and medical events Paid leave for new parents and subsidized back-up care for all parents Fertility and family building benefits including but not limited to adoption, surrogacy, and preservation Stipend to help with expenses that come with a new child Employees can enroll in Palantir's 401k plan Life at Palantir We want every Palantirian to achieve their best outcomes, that's why we celebrate individuals' strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians' lives is just one of the ways we're investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir's values and culture, we believe employees are "better together" and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for "Remote" work on an exceptional basis. If you are applying for one of these roles, you must work from the state in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are proud to be an Equal Opportunity Employer for all, including but not limited to Veterans and those with disabilities. Palantir is committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please reach out and let us know how we can help. If you would like to understand more about how your personal data will be processed by Palantir, please see our Privacy Policy.

Remote contract for PhDs in Physics, Applied Physics, or related fields. PhD (pursuing or completed) in Physics, Applied Physics, or a related field. Help fine-tune large language models (like ChatGPT) using your physics skills.

New York, NYTechnology – Technology /Full-Time /RemoteCompany at a GlanceOpenX is focused on unleashing the full economic potential of digital media companies. We do this by making digital advertising markets and technologies that are designed to deliver optimal value to publishers and advertisers on every ad served across all screens.At OpenX, we have built a team that is uniquely experienced in designing and operating high-scale ad marketplaces, and we are constantly on the lookout for thoughtful, creative executors who are as fascinated as we are about finding new ways to apply a blend of market design, technical innovation, operational excellence, and empathetic partner service to the frontiers of digital advertising.OpenX is seeking a Staff Data Scientist to join our Data Science team. Our exchange processes hundreds of billions of ad requests daily and generates petabytes of data, requiring advanced machine learning, deep learning, and modern AI techniques delivered through scalable platforms to create value for customers.A Staff Data Scientist is a senior technical leader whose impact spans multiple teams and business domains. In this role, you will solve complex marketplace problems, set technical direction for your domain, architect major ML systems, mentor other scientists, and partner with engineering and product leaders on data-driven strategy.Problems at this level include auction and marketplace optimization, bidding and yield strategy, relevance and prediction systems at exchange scale, causal measurement of marketplace changes, and capabilities for training, validating, and monitoring ML systems in production.The ideal candidate brings deep expertise in applied machine learning, strong judgment in selecting methods for business problems at scale, and a track record of translating business needs into high-impact data science solutions.Key Responsibilities:Technical Leadership & Architecture Architect robust, scalable, and maintainable ML systems for broad use across the exchange, spanning training pipelines, real-time inference, validation, and monitoringServe as a go-to expert in deep learning and related advanced data science domains, with the breadth to guide method selection across adjacent areasLead the evaluation and adoption of new AI/ML modeling techniques, frameworks, and research advancements relevant to OpenX’s marketplace problemsDefine and evolve technical standards and best practices within their domain, influencing broader adoption across the organizationExecution & Strategy: Identify and lead high-impact, cross-team data science initiatives, such as improving bidding strategies, building new prediction systems, or redesigning experimentation frameworksIn partnership with engineering and product leadership, drive the data science roadmap for a product area or platform capabilityPartner with product managers and commercial stakeholders to translate marketplace problems into data science solutions with measurable business outcomesSolve novel, ambiguous problems requiring innovation in methodology, algorithms, or feature engineeringMentorship & Influence: Mentor and develop senior data scientists, helping them grow toward broader technical leadershipRaise the skills, impact, and scientific rigor of teams around them through guidance, architectural patterns, and strategic directionCommunicate technical strategy and build consensus for complex decisions across senior leadership and cross-functional teamsRequired Qualifications:Ph.D. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or related technical field with 6+ years of relevant industry experience; OR M.S./B.S. with 8+ years of relevant experience and a demonstrated track record of leading cross-team technical strategy and delivering organization-level impactDeep expertise in deep learning and broad fluency across the modern ML toolkit, with strong familiarity with optimization methods; additional experience in areas such as causal inference or experimentation design is a plusProven ability to architect and deliver complex, production-grade ML systems that operate at scaleStrong track record of nurturing DS/ML projects to maturity with significant business impact, including supporting and improving those systems beyond initial deploymentMastery of probability and statistics, especially techniques that scale to massive datasetsStrong Python and SQL skills; experience with ML frameworks such as TensorFlow or PyTorchStrong communication and presentation skills, including proficiency in conveying complex technical concepts to both technical and non-technical audiencesTrack record of cross-team technical leadership and mentorship of senior data scientists and technical partnersDesired Characteristics:Experience developing, evaluating, or optimizing bidding algorithms for RTB environments.Experience working with a cloud platform like GCP/AWS/Azure, with emphasis on GCP and the Vertex AI platformExperience with ML pipeline and orchestration tools such as TFX, Kubeflow, or AirflowFamiliarity with other programming languages such as Java and GoExperience working in digital media, marketing technology, or advertising technology — especially in marketplace, auction, or exchange systemsTrack record of setting technical standards or best practices adopted beyond a single teamExperience representing data science capabilities or strategy in cross-functional forums$195,500 - $218,500 a yearPursuant to any state, local ordinance, or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. OpenX is committed to fair and equitable compensation practices. For all applicants, the base salary range is noted above, per year + bonus + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, and certifications. A summary of our benefits, which include medical, dental, vision, 401k, equity and more, can be viewed here: A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, and certifications. OpenX VALUESOur five company values form a solid bedrock serving to define us as a group and guide the company. Our values remind us that how we do things often matters as much as what we do.WE ARE ONEWe are one team. There are no exceptions. We are a group of strong and diverse individuals unified by a shared mission. We embrace challenges and win together as a team. We respect and care about our colleagues and cultivate an inclusive cultureWE ARE CUSTOMER CENTRICWe innovate on behalf of our customers. We understand, respect, and listen carefully to our customers. We build great products to solve our customers’ problems. We manage our customers’ expectations clearly and honestly. We are a trusted partner to all of our customers - we act with integrity at all times. We care.OPENX IS OURSWe are all owners of OpenXWe all have a voice to improve OpenXWe stake our personal and professional reputations on the excellence of our workWe are not interested in just "doing our jobs"; we take ownership to drive resultsWE ARE AN OPEN BOOKWe understand and respect what each of us does. We are eager to teach and share what we know with others, both internally and externally. We are eager to learn from others and we ask questions internally and externally. WE EVOLVE FASTWe take responsible risks and own and learn from our mistakes. We recognize and repeat success. We actively seek out and provide constructive feedback. We adapt quickly and embrace change. We tackle growth and learning with real urgency. We are endlessly curious. OpenX TRAITSOur three traits capture what makes a great team member at OpenX.HUMBLEIdeal team players are humble and demonstrate integrity. They put the team's success above their own, share credit generously, and value collective achievements. They are self-assured, open to coaching, and committed to continuous learning.DRIVENIdeal team players are results-driven and motivated. They are curious, always seeking more to do, learn, and take on. As proactive problem-solvers, they take initiative without needing external motivation. They continuously think about the next steps and opportunities for improvement.SMARTIdeal team players are smart and possess the intellectual acumen to understand the complexities of our organization and industry. They are interpersonally intelligent, good communicators, and exemplify sound judgment in their interactions across the company to foster a collaborative environment.OpenX is committed to equal employment opportunities. It is a fundamental principle at OpenX not to discriminate against employees or applicants for employment on any legally-recognized basis including, but not limited to: age, race, creed, color, religion, national origin, sexual orientation, sex, disability, predisposing genetic characteristics, genetic information, military or veteran status, marital status, gender identity/transgender status, pregnancy, childbirth or related medical condition, and other protected characteristic as established by law.OpenX Applicant Privacy PolicyApplicants can review our Applicant Privacy Policy at any time by visiting the following link: .Effective Date: November 21, 2024

Our MissionHealthcare should work for patients, but it doesn’t. In their time of need, they call down outdated insurance directories. Then wait on hold. Then wait weeks for the privilege of a visit. Then wait in a room solely designed for waiting. Then wait for a surprise bill. In any other consumer industry, the companies delivering such a poor customer experience would not survive. But in healthcare, patients lack market power. Which means they are expected to accept the unacceptable.Zocdoc’s mission is to give power to the patient. To do that, we’ve built the leading healthcare marketplace that makes it easy to find and book in-person or virtual care in all 50 states, across +200 specialties and +12k insurance plans. By giving patients the ability to see and choose, we give them power. In doing so, we can make healthcare work like every other consumer sector, where businesses compete for customers, not the other way around. In time, this will drive quality up and prices down. We’re 18 years old and the leader in our space, but we are still just getting started. If you like solving important, complex problems alongside deeply thoughtful, driven, and collaborative teammates, read on.Your Impact on our MissionZocdoc's mission is simple and hard: give power to the patient. We are the nation's leading digital healthcare marketplace — connecting millions of patients to the right care, faster than ever.The Data & Analytics team is at the center of how Zocdoc grows, evolves, and makes high-stakes decisions at scale. As a Sr/Staff Data Scientist you will be one of the most senior analytical voices at the company — a strategic thought partner to directors and senior leadership across Product, Marketing, Sales, Finance, Revenue, Operations, Customer Experience, and Platform.You'll work on some of Zocdoc's most complex and ambiguous business problems — where the question itself isn't always defined, and the right method doesn't fit neatly into a playbook. You'll lead the analytical strategy, apply rigorous experimentation and causal inference frameworks at scale, and turn structured thinking into decisions that shape how Zocdoc grows.This is a high-visibility, high-impact individual contributor role. Success here is measured not just by the quality of your analyses, but by the clarity, influence, and scalability of the thinking you bring to the teams around you.You'll enjoy this role if you are…Energized by working at the intersection of product strategy, growth, monetization, and experimentation and genuinely excited to go deep on all of itThe kind of person who frames the problem before jumping to the analysis and understands that question-setting is half the workComfortable operating with ambiguity and decisive under uncertainty you know how to move fast without sacrificing rigorA force multiplier — you get real satisfaction from enabling other teams to make better decisions, not just from what you personally buildPassionate about connecting technical work to real business outcomes — you know that a great model no one acts on is a missed opportunitySerious about your work, but not about yourself — you understand that great outcomes come from trust, collaboration, and a healthy sense of perspectiveYour day to day is…Leading experimentation and analytical strategy across product, growth, monetization, marketing, and operational initiatives, often simultaneouslyApplying causal inference methodologies (difference-in-differences, synthetic controls, propensity methods, Bayesian experimentation) to real business questions where traditional A/B testing may not be feasiblePartnering directly with directors and senior leaders to frame complex, cross-functional challenges and translate findings into clear recommendations that drive actionImproving experimentation frameworks, metrics strategy, and analytical rigor across teams — developing scalable approaches for measurement, segmentation, forecasting, and incrementalityInfluencing roadmap prioritization and business strategy through rigorous analysis and precise communication of tradeoffs and uncertaintyMentoring and upskilling data scientists and analysts across the organization on experimentation, causal inference, and statistical best practicesPartnering with Engineering, Product, and ML teams on instrumentation, data infrastructure, and analytics toolingIntegrating generative AI tools into daily workflows to automate tasks, foster innovation, and maximize analytical productivityYou'll be successful in this role if you have…An unrelenting desire to build more equitable, inclusive, and diverse workplaces — you view this role as an opportunity to create positive change8+ years of experience in Data Science, Product Analytics, Applied Analytics, or Experimentation, with a track record of solving high-impact, cross-functional business problems. A Bachelor's degree in Computer Science, Data Science, Statistics, Applied Mathematics, Machine Learning, Artificial Intelligence, Economics, Physics, or a related field; a Master's degree or PhD in a quantitative field is a plus Experience partnering with senior stakeholders across Product, Marketing, Revenue, Sales, Operations, or Customer Experience organizations to drive strategy through dataStrong experimentation experience at scale, including causal inference methodologies applied to real-world, often messy business settingsAdvanced SQL proficiency and strong Python fluency, with the ability to work across large, complex datasetsThe ability to integrate generative AI tools into daily workflows to automate tasks, foster innovation, and maximize productivityFamiliarity with areas such as: pricing and monetization analytics, growth and retention strategy, customer segmentation and lifecycle, marketing attribution and incrementality, or operational and marketplace analyticsExperience in fast-paced, high-growth environments — consumer technology, SaaS, fintech, marketplace, or platform companies is highly relevantHumility — you believe in treating all people with dignity and respect, regardless of title or tenureBenefitsUnlimited Vacation100% paid employee health benefit options (including medical, dental, and vision)Commuter Benefits401(k) with employer funded matchCorporate wellness program with WellhubSabbatical leave (for employees with 5+ years of service)Competitive paid parental leave and fertility/family planning reimbursementCell phone reimbursementCatered lunch everyday along with beverages and snacksEmployee Resource Groups and ZocClubs to promote shared community and belongingGreat Place to Work CertifiedZocdoc is committed to fair and equitable compensation practices. Salary ranges are determined through alignment with market data. Base salary offered is determined by a number of factors including the candidate’s experience, qualifications, and skills. Certain positions are also eligible for variable pay and/or equity; your recruiter will discuss the full compensation package details.NYC Base Salary Range$200,000—$270,000 USDZocdoc is committed to fair and equitable compensation practices. Salary ranges are determined through alignment with market data. Base salary offered is determined by a number of factors including the candidate’s experience, qualifications, and skills. Certain positions are also eligible for variable pay and/or equity.Remote Base Salary Range$200,000—$270,000 USDAbout usZocdoc is the country’s leading digital health marketplace that helps patients easily find and book the care they need. Each month, millions of patients use our free service to find nearby, in-network providers, compare choices based on verified patient reviews, and instantly book in-person or video visits online. Providers participate in Zocdoc’s Marketplace to reach new patients to grow their practice, fill their last-minute openings, and deliver a better healthcare experience. Founded in 2007 with a mission to give power to the patient, our work each day in pursuit of that mission is guided by oursix core values. Zocdoc is a private company backed by some of the world’s leading investors, and we believe we’re still only scratching the surface of what we plan to accomplish. Zocdoc is a mission-driven organization dedicated to building teams as diverse as the patients and providers we aim to serve. In the spirit of one of our core values - Together, Not Alone, we are a company that prides itself on being highly collaborative, and we believe that diverse perspectives, experiences and contributors make our community and our platform better. We’re an equal opportunity employer committed to providing employees with a work environment free of discrimination and harassment. Applicants are considered for employment regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity, gender expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or any other class protected by applicable laws.Job Applicant Privacy Notice

Qualifications:Bachelor's degree in Optical Engineering, Physics, or related field; or equivalent combination of education and experienceExperience fabricating, designing, or fielding tactical or space-based optical systems and relevant performance parametersExperience with integration, test, charac

San Francisco, CA | New York City, NY Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic is looking for a Senior Partner Account Manager (PAM) to own our relationship with one to two of the world's largest global systems integrators. This is a general-management role disguised as an alliance role: you will set the multi-year joint strategy with the partner's C-suite, negotiate the strategic agreement that underpins it, and then build the machine go-to-market, solution co-development, delivery readiness, and enablement at a scale of tens of thousands of practitioners that turns Claude into one of the partner's largest and fastest-growing practices. You will be measured on the size and health of the joint business: progress against a $1B+ Claude practice plan, Anthropic ARR sourced and influenced through the partner, certified and delivery-ready practitioners (50,000+), co-developed solutions in market with reference-able customers, and the depth of executive alignment on both sides. • Own the joint business. Build and run a multi-year joint business plan with each GSI covering services bookings, Anthropic ARR, priority industries and geographies, investment, and headcount. Report on it to Anthropic and partner executive leadership quarterly., • Lead at the C-suite. Be the primary Anthropic relationship owner for the partner's Group CEO, service-line and industry CEOs, CTO/Chief AI Officer, and Chief Learning Officer. Map and activate Anthropic executive sponsors, run CEO-level QBRs, and shape the partner's public AI narrative (earnings calls, analyst days, flagship events) around Claude., • Negotiate the strategic agreement. Structure and close multi-year strategic collaboration agreements spanning consumption and resale commitments, co-investment and market development funds, co-marketing, IP and solution terms, and enterprise-wide internal deployment of Claude across the partner's own workforce., • Co-develop solutions. Partner with Anthropic Product, Applied AI, and the GSI's CTO office to co-build industry and horizontal offerings, agentic and Claude Code delivery accelerators, and reference architectures; take them to market with named launch customers and published references., • Build a 50,000+ practitioner practice. Design and land a certification and delivery-readiness system inside the partner embedded in their academy/L&D, train-the-trainer led, tied to Claude Partner Network tier requirements and hold the partner accountable to capability they build themselves rather than capacity Anthropic supplies., • Drive global co-sell. Stand up joint account planning and pursuit governance with Anthropic field leadership across NA, EMEA, and APAC; personally engage on the largest strategic pursuits; ensure clean attribution through deal registration and CRM discipline., • Run alliance governance. Establish and chair a joint steering committee with named workstreams (GTM, solutions, delivery readiness, enablement, marketing), clear owners on both sides, and a published operating cadence., • Lead through others. Orchestrate a global virtual team of partner solutions architects, partner marketing, enablement, regional PAMs, and sales leaders; mentor PAMs across the team; scope and make the case for dedicated resourcing as the business scales., • Shape the program. Bring the voice of the largest GSIs into Anthropic's partner strategy, Elite-tier program design, and product roadmap., • 15+ years in alliances, partner sales, or consulting leadership, including 8+ years owning a top-tier GSI relationship (e.g., IBM, NTT Data, Capgemini) at a hyperscaler or category-defining enterprise software/AI company or the mirror-image role leading a hyperscaler/AI alliance from inside a GSI., • A track record of personally building or scaling a partner practice to $500M$1B+ and tens of thousands of trained practitioners, with the joint business plan, governance, and metrics to show for it., • Demonstrated C-suite presence: you have set agendas with GSI Group CEOs and service-line leaders, and you can hold a strategy conversation and a commercial negotiation in the same meeting., • Experience negotiating and closing multi-year strategic collaboration agreements with nine-figure commitments., • Fluency in GSI economics utilization, pyramid, offering margin, industry P&Ls, delivery-center models and how a new technology practice actually gets funded and staffed inside one., • A strongly commercial orientation: you are a business driver first and a relationship manager second, and you are comfortable pushing a partner to invest in its own capability., • Global operating experience across NA, EMEA, and APAC, including time with India-based delivery leadership., • Low ego, high curiosity, and a habit of making the people around you better; you put the mission ahead of personal credit., • Experience launching co-developed partner solutions with a product/engineering organization, including agentic or developer-tooling offerings., • Prior ownership of a large-scale partner certification or academy program., • Hands-on familiarity with Claude, Claude Code, LLM application architectures, and enterprise AI deployment and governance., • Experience at a high-growth company where the program was being built while the plane was flying. The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 - $365,000 USD Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any linksvisit anthropic.com/careers directly for confirmed position openings. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact advancing our long-term goals of steerable, trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Join a forward-thinking educational organization as a freelance teacher for the Applied Physics course.This role allows you to leverage your expertise to craft engaging curriculum and support students in their learning journey.With flexible working hours and the ability to work remotely, you can bal