Phd engineering jobs in United States - Page 2

Title: Administrative Assistant I Department: Electrical and Computer Engineering Reports To: Professor and Chair, Electrical and Computer Engineering Position Type: Staff Position Summary: Under the direction of the Chair of the Electrical & Computer Engineering department, the Administrative Assistant is responsible for the administration of the Center and all matters related to the Center and its associated faculty. Essential Functions: Administrative Activities This function finds its incumbent providing a full array of administrative services related to the operation of the Center for Wireless Communications and Signal Processing Research. By way of illustration and not limitation, this function: -Acts as principal assistant to the Director and other faculty associated with the Center on all administrative matters pertaining to the Center and associated research projects. -Acts as the liaison between the Center, the department and various NJIT departments. -Coordinates, collects, compiles and analyzes data; prepares reports providing conclusions and recommendations. -Makes recommendations regarding equipment and use of space. Responsible for making sure the students are placed in workstations in the Center and that they have the necessary tools to complete their research. -Coordinates and participates, when required, in special center functions such as Research Day, symposiums and seminars. Helps advertise such events. -Coordinate weekly student led research presentations; order lunch and ensure timely delivery. -Maintains inventory required for the operation of the center; manages all center records and files. -Maintains the Center website. Financial Management Activities This function finds its incumbent providing a full array of services related to the financial operation of the Center. By way of illustration and not limitation, this function: -Assists in the administration and monitoring of all research and program budgets, including personnel and student assistants; identifies financial reporting errors and consults with appropriate departments to correct errors. -Responsible for processing and recording of purchase orders, travel reimbursements, budget transfers, etc.; uses Banner System to monitor expenditures. -Assists in the preparation of research proposals and budgets for federal and state agencies and industry; responsible for compiling and submitting progress and annual reports. -Compiles, organizes, produces and distributes the Center's annual report. Students and Faculty Administration Activities This function finds its incumbent providing a full array of administrative services related to students and faculty. By way of illustration and not limitation, this function: -Assists faculty in their duties as advisors of PhD and MS students. Helps to coordinate application handling of students who are being recruited. -Assists students with registration activities, support and other paperwork associated with maintaining status. Additional Functions: -Performs other duties as assigned. Prerequisite Qualifications: -Bachelor's degree required is required. -Must be able to communicate effectively in English. -Must have three years administrative experience in an institute of higher education. -Proficiency with Microsoft Office Suite. -Ability to relate well to a culturally and ideologically diverse group of faculty, staff, and students. -Ability to maintain professionalism under pressure. -Good organizational skills and sense of follow-through. -At the university's discretion, the education and experience prerequisites may be excepted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Bargaining Unit: PSA Range/Band: 20 Salary Information: In compliance with the NJ Pay Transparency Law, the negotiated annual salary range for this position is $63,129.05-$102,796.62 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. To learn more about the comprehensive benefits NJIT offers for this position, please visit our benefits page: . FLSA: Exempt Full-Time Apply NowShare Save Job

Columbia Business School is seeking to hire one or more Staff Associates of research for the accounting division. The work will include quantitative and qualitative research and analysis involving the collection, coordination and management of information and data. This position provides an opportunity to gain experience in academic economics research and would be ideal preparation for a PhD program in accounting, finance, economics, or other related fields. This is a two-year position with a possible extension for a third year. The Staff Associate duties involve work in one or more of the following areas of research: accounting, finance, economics, and statistics. Specific duties include: • Collect, clean, and maintain datasets and databases. Extract and link data from multiple databases for analysis. Prepare detailed documentation., • Develop models and implement program code (STATA, Python, SQL, R, SAS, Matlab, etc.)., • Perform statistical analysis, including regression analysis and machine learning techniques., • Assist with data analysis and dissemination of findings through the preparation of reports, journal articles, presentations, web sites, and other research outlets., • Perform case-based research, including work with detailed primary documents. Applicants for Staff Associate position are expected to have the following: • Programming experience in STATA and/or SAS and/or R is required., • Additional programming experience in one or more of the following languages: Python, SQL, Matlab, and/or C++ is preferred., • Familiarity with statistical tools such as linear regression is required., • Familiarity with text parsing and analysis (natural language processing) and/or machine learning techniques is preferred., • Candidate must be organized and able to work on multiple projects simultaneously., • Up to two years of research experience in a research role as a research assistant during the academic year or a summer internship in a research lab or governmental institution. Columbia University is an Equal Opportunity/Affirmative Action employer. Women and minorities are especially encouraged to apply. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Title: University Lecturer Department: Computer Science Reports To: Chair, Computer Science Position Type: Faculty Position Summary: The Department of Computer Science at New Jersey Institute of Technology (NJIT) seeks candidates to fill a University Lecturer position. Candidates are expected to teach introductory programming courses and advanced courses in support of our undergraduate and graduate programs. The successful candidate will also be involved in creating course content and materials with a focus on hands-on experiential and project-based learning. Essential Functions: The successful candidate will be expected to: -Teach undergraduate and graduate courses. -Create course content and materials. Prerequisite Qualifications: -Successful candidates must have an MS degree in Computer Science or a related area (a PhD degree is preferred). -Candidates should demonstrate an expert grasp of knowledge in one or more of the following areas: data science, machine learning, artificial intelligence, data structures and algorithms, software engineering, operating systems, computer networks, and databases, either through a record of teaching excellence, or through industrial experience. Knowledge in computer science pedagogy is a plus. -At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Preferred Qualifications: -Strong written, oral and interpersonal skills are required in order to communicate effectively with students in person and online. Bargaining Unit: PSA Salary Information: In compliance with the NJ Pay Transparency Law, the starting salary for this position is $65,000.00-$80,000.00 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. To learn more about the comprehensive benefits NJIT offers for this position, please visit our benefits page: . FLSA: Exempt Full-Time Special Instructions to Applicants: -NJIT has recently expanded its graduate programs to Jersey City, just across the Hudson River from the financial district of Lower Manhattan in New York City, where it serves the many working professionals in that region. Instructional staff are expected to teach at this site as needed. Apply NowShare Save Job

The Columbia Center on Sustainable Investment (CCSI) is seeking an Associate Research Scholar to advance its applied research, policy, and advisory work on integrated energy systems planning and finance. This role sits at the frontier of a rapidly evolving and increasingly integrated energy sector, where electrification, digitalization, e-mobility, urbanization, and emerging-market growth are transforming the operational logic and investment requirements of energy systems around the world. The position will engage directly with these dynamics, examining how system design, planning, and investment frameworks can optimize the integration of digital and physical infrastructure to support climate and development goals. This position will support the design and implementation of system-level strategies for low-carbon, affordable, and resilient energy transitions linking generation, grid infrastructure, and emerging load centers such as industrial corridors, data hubs, and clean-fuel value chains. This will include contributions to the development of integrated modelling frameworks, investment and financing roadmaps, and institutional and regulatory strategies that enable countries and regions to achieve net-zero, competitive, and inclusive growth. The position will bridge technical systems analysis with institutional and financial innovation to translate scenario-modelling outputs into investible transition pathways aligned with emerging global norms in climate finance, industrial policy, and digital infrastructure. This is a highly interdisciplinary position spanning energy systems analysis, sustainable finance, and public policy, and requires intellectual curiosity, creativity, and a pragmatic commitment to translating research into actionable solutions. This role will initially contribute to CCSI's work under the ASEAN Regional Integrated Energy System (ARIES) project, supporting the design of regional pathways, financing frameworks, and institutional mechanisms for coordinated energy system transformation across Southeast Asia. Key Responsibilities The Associate Research Scholar will contribute to CCSI's research and advisory initiatives through a combination of the following responsibilities, depending on evolving program needs and the individual's expertise: • Conduct interdisciplinary research on the planning, optimization, and financing of integrated energy systems, including cross-border grids, clean fuels, storage, and emerging industrial and digital loads., • Contribute to the design, development, and interpretation of energy system and macroeconomic models to identify least-cost and net-zero-consistent transition pathways, and to link those results / modelling outputs to investment and financing requirements., • Support the development of advanced multi-vector modelling frameworks that couple energy, water, and digital infrastructure, drawing on the latest approaches in integrated systems planning, electrotech deployment, and demand flexibility., • Analyze policy, regulatory, and market design options that enhance the affordability, security, and sustainability of energy systems across borders and sectors., • Support the development of financing and investment frameworks, including analysis of risk allocation, blended finance instruments, guarantees, sovereign and sub-sovereign borrowing, export credit agency (ECA) participation, and credit rating methodologies relevant to large-scale clean energy and infrastructure investment., • Conduct or contribute to research on cost-of-capital determinants, capital market access for emerging economies, and the design of mechanisms that can lower financing costs for public and private actors., • Explore and assess the role of regional and national financial institutions, development banks, and catalytic funds in mobilizing investment for integrated energy systems., • Engage with governments, regional institutions, utilities, development banks, investors, ECAs, and rating agencies to co-develop practical strategies for affordable and scalable financing of energy transitions., • Organize and facilitate consultations, workshops, and training programs to strengthen institutional and financial capacity for integrated system planning and implementation., • Collaborate on multi-stakeholder projects that bridge technical modeling, institutional reform, and financial innovation, including national and regional roadmaps for energy system transformation., • Draft and co-author research papers, policy briefs, roadmaps, and reports, synthesizing technical, financial, and institutional insights into clear and actionable recommendations., • Contribute to strategic outreach, communication, and knowledge-sharing efforts, ensuring that CCSI's research informs policy dialogues on sustainable infrastructure, energy integration, and reform of global financial architecture. The most important quality for this position is the ability and desire to think ambitiously, creatively, and pragmatically, and to bridge disciplines in pursuit of actionable, system-level solutions. Ideal candidates are self-motivated, intellectually curious, and collaborative, able to connect technical, financial, and policy insights into coherent strategies that shape real-world outcomes. In addition, the following minimum qualifications are required: • PhD, SJD, JD, LLM, or Master's degree with significant research experience in one or more of the following fields: energy systems, economics, sustainable finance, engineering, law, or public policy., • Demonstrated ability to conduct and synthesize interdisciplinary research across technical, economic, and institutional dimensions., • Strong analytical and writing skills, with the ability to translate complex concepts into actionable recommendations., • Familiarity with energy systems modeling, infrastructure planning, industrial decarbonization, or climate finance mechanisms (e.g., blended finance, guarantees, or sovereign credit structures)., • Demonstrated understanding of macroeconomic and systems-level implications of the current power and digital infrastructure nexus, • Experience working with or advising governments, utilities, multilateral institutions, or investors on energy, infrastructure, or finance issues., • Willingness to learn, adapt, and engage across diverse disciplines and stakeholder groups., • Regional experience in emerging markets preferred. Ultimately, the role contributes to a new generation of energy-system scholarship and practice that links digital transformation, electrification, and climate finance into coherent investment strategies. The Associate Research Scholar will engage with partners across government, industry, and finance to align technical insights with the institutional and capital architectures required for real-economy transitions that are affordable and effective. The search will remain open for at least 30 days after the advertisement appears and will continue until the position is filled. Appointments are made on a fiscal year basis and are eligible for renewal each July 1, contingent upon performance and funding. Columbia University benefits accompany this Officer of Reserch appointment. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Department of Biomedical Engineering - Prof. Elham Azizi's Lab, is looking for a Staff Associate III to: Functional Knowledge (35%) - Develop advanced probabilistic and causal generative frameworks linking molecular to clinical data; design interpretable representation spaces for tumor-immune dynamics and therapy response. Technical Expertise (25%) - Engineer LLM and diffusion/flow-matching pipelines; integrate multi-GPU distributed training, experiment tracking, and MLOps automation. Problem-Solving Skills (15%) - Innovate adaptive fine-tuning, multi-task learning, and agentic reasoning strategies to improve generalization and data efficiency. Decision Making/Autonomy (10%) - Lead architectural and data design decisions; prioritize experiments aligned with program milestones; evaluate trade-offs between model accuracy and interpretability. Communication Skills (10%) - Present findings at internal symposia and external conferences; co-author manuscripts; write high-quality documentation and technical reports. Mentorship/Leadership (5%) - Mentor junior engineers and research assistants; provide guidance on causal inference methods and AI-in-loop experimentation. B.S./B.E. (minimum) in Computer Science, Biomedical/Electrical Engineering, Statistics, Bioinformatics, Applied Math, or related field. MS or PhD degree is preferred but not required. Required qualifications • Substantial expertise in training deep learning models and tuning large foundation models., • Expertise with developing efficient data loaders for large datasets and optimizing training workflows., • Deep knowledge of probabilistic modelling, self-supervised learning and representation learning, diffusion/VAE/flow matching architectures, • Strong Python, PyTorch/JAX, containerization & MLOps skills; familiarity with distributed training and modern experiment-tracking stacks, • Experience with AI coding tools (e.g., Copilot, Cursor) Preferred extras • M.S. or graduate-level degree in relevant field, • Experience with single-cell and spatial genomic or imaging data, and multimodal integration, • Expertise in statistical causal discovery and inference, • Publications or open-source contributions in generative models, • Strong interest in applications and driving impact in cancer biology and immunology 6+ years of experience in software engineering including: 3+ yrs hands-on experience training generative AI or large-language models at scale 2+ years experience with statistical or generative modeling Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

• Job Type: Officer of Administration, • Regular/Temporary: Regular, • Hours Per Week: 35, • Standard Work Schedule: Columbia University Information Technology (CUIT) and Columbia Business School (CBS) seek a senior technology leader to serve CBS. Reporting jointly to CUIT's Chief Information Officer & CBS's Chief Operating Officer, the Executive Director will be a key member of both the CUIT and CBS administrative leadership teams. The Executive Director will ensure that technological capabilities support academic excellence, research innovation, and operational effectiveness across CBS. The role is responsible for ensuring reliable frontline IT services, aligning procurement and vendor management practices with University standards while optimizing efficiency, strengthening project and innovation delivery capabilities, and ensuring effective use of University enterprise infrastructure and platforms. At its core, this role requires a technologist with strong interpersonal and leadership skills who can engage faculty, administrators, and technical teams to drive solutions that meet the needs of the CBS's constituents while leveraging the broader capabilities of the University. The successful candidate will bring strong technical credibility, operational discipline, and the ability to lead in a complex shared governance environment while partnering closely with faculty, administrators, and central technology teams. For over a century, Columbia Business School has helped develop leaders and builders of enterprises who drive value for their stakeholders and society at large through our MBA, MS, PhD, and Executive Education programs. CBS is equally committed to cultivating new scholars and teachers, and to creating and disseminating pathbreaking knowledge, concepts, and tools which advance the understanding and practice of management through our faculty research and PhD programs. Our vision is simple: to develop ideas and leaders that transform the world - from the very center of business. Our ever-evolving curriculum, featuring pioneering courses, STEM certification, and immersive experiential learning, prepares students to excel in key areas such as digital transformation, entrepreneurship, and innovation, twenty-first century finance, the intersection of business and society, and climate and sustainability. Columbia University Information Technology (CUIT) provides the technological framework for one of the world's leading research institutions, providing the essential infrastructure and innovative solutions that empower students, faculty, and staff to excel. Committed to delivering a robust, secure, and agile environment that supports the University's mission of teaching, research, and patient care, CUIT manages a comprehensive portfolio ranging from high-performance computing and global networking to enterprise-scale applications and cybersecurity. As the University's central IT partner, CUIT prioritizes the integration of emerging technologies-including artificial intelligence, advanced data analytics, and cloud-based collaboration-to streamline operations and provide seamless, transformative services that act as a catalyst for academic and administrative excellence. Through strategic alignment and a culture of service excellence, CUIT effectively bridges the gap between complex technical requirements and the human-centered goals of the Columbia community, ensuring the University is equipped to solve the challenges of the twenty-first century. Responsibilities Technology Strategy and Leadership • Develops and executes a multi-year technology strategy aligned with School priorities and University direction. Define and communicate a clear technology roadmap with measurable outcomes., • Serves as a trusted advisor to the University CIO, CBS COO, and faculty leadership., • Recruits, develops, and retains high performing technology talent, strategy, institutional platforms, and emerging capabilities., • Leads and coordinates technology resources supporting CBS, ensuring the right balance between local expertise and University provided services. Foster a culture of accountability, transparency, and service orientation. Strengthen management capability within client services and technical teams., • Ensures alignment between School initiatives and University enterprise platforms. Maximizes effective partnerships around centrally provided services, helping CBS take full advantage of institutional capabilities while meeting its specific operational and shared services. Represents CBS's academic needs., • Enables application development and integration capabilities that support rapid implementation of solutions aligned with School priorities., • Supports the delivery of high impact tools across the student lifecycle and administrative domains. Ensures deep technical expertise while ensuring integration with University systems., • Promotes sound engineering practices, integration architecture, and data governance., • Strengthens and professionalizes client service operations supporting the CBS., • Drives standard operating practices that improve consistency, transparency, and scalability of service delivery., • Coordinates with CUIT service teams to ensure reliable support structures, clear communication channels, and appropriate use of enterprise services., • Drives service delivery using agreed-upon service metrics and accountability standards., • Rationalizes the School's core technology stack in partnership with University IT., • Partners with the School's Financial Planning Office, CUIT's Vendor Management Office, and Central Procurement to ensure reporting needs are met and that technology purchasing and usage align with School and University financial practices., • Oversees research computing resources and strategy supporting CBS's faculty and research initiatives., • Evaluates the sustainability of local computing infrastructure, including hardware lifecycle management and capital investment considerations., • Develops cloud strategy in partnership with CUIT, including workload placement, credit management, and vendor relationships., • Bachelor's degree required., • Minimum of 8+ years of information technology experience., • Significant senior leadership experience in information technology within higher education or similarly complex institutions., • Demonstrated success operating in environments that include both centralized and decentralized technology capabilities., • Deep technical understanding of enterprise systems, application development, cloud infrastructure, and data governance., • Proven ability to strengthen service operations and implement scalable processes., • Experience balancing innovation with institutional compliance, security, and risk management requirements., • 10+ years of of progressively responsible related experience, including senior leadership experience., • Experience in a professional school environment., • Familiarity with research computing environments and regulated data domains., • Track record of building digital innovation capacity. Columbia University is committed to the hiring of qualified local residents.

The Department of Radiology at the Columbia Unviersity Vagelos College of Physicians and Surgeons invites applications for a faculty position as Director of Molecular Imaging Research. This leadership role is open across all academic ranks, with the potential for a tenure-track appointment based on the candidate's qualifications and career trajectory. Candidates from diverse backgrounds-including radiochemistry, molecular imaging science, and related fields-are encouraged to apply. Salary range is 150,000 to 350,000. Salary and academic rank will be commensurate with qualifications and experience. Columbia University offers a competitive benefits package, including tuition reimbursement, tuition exemption for faculty pursuing advanced degrees, retirement plans, and ample time off for vacation and CME. We seek an innovative and collaborative leader with expertise in molecular imaging to further develop and expand our research and translational activities. Our ideal candidate has a proven record of research excellence in molecular imaging, radiopharmaceutical development, or related disciplines. A strong publication record, experience in grant funding, and demonstrated leadership in academic settings are highly desirable. Excellent communication skills are equally important. Program Highlights Columbia's Molecular Imaging Program features a world-class ___, including two cyclotrons supporting [13N], [15O] target production and dual-target capabilities for [11C] and [18F] isotopes. The program is equipped with three state-of-the-art PET scanners for both clinical and preclinical applications and has a robust infrastructure for isotope production, tracer development, and advanced imaging protocols. Strong industry partnerships provide exciting opportunities for innovation and collaboration in imaging sciences. Responsibilities The Director of Molecular Imaging Research will lead the Molecular Imaging Program, fostering multidisciplinary research and collaboration across Columbia University and its affiliates. Key responsibilities include: • Developing and sustaining an independent and/or collaborative research program in molecular imaging, radiochemistry, or translational imaging, • Overseeing and expanding radiopharmaceutical development and PET imaging capabilities, • Developing and implementing a strategic plan to ensure leadership in PET chemistry/synthesis, • Leveraging the program's cyclotron infrastructure to advance isotope production for clinical and research applications, • Establishing partnerships within the Herbert Irving Comprehensive Cancer Center (HICCC), the Department of Biomedical Engineering, the Department of Biomedical Informatics, the Irving Institute for Clinical and Translational Research and other departments and centers across Columbia, • Promoting collaborations with industry and funding agencies to drive innovation in molecular imaging, • Teaching and mentoring students, residents, fellows, and postdoctoral researchers, • Contributing to the Department's clinical and translational imaging initiatives, • Collaboratively overseeing PET scanning research operations, including scanner utilization for research across Columbia University Irving Medical Center Education and Experience: • Strong communication skills and ability to collaborate with faculty and staff, including technologists, researchers, and clinical scientists. Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: Reporting to the Executive Director, Development and Strategic Initiatives, the Fu Foundation School of Engineering and Applied Science (SEAS) on the Columbia Engineering Development and Alumni Relations Team (EDAR), the Director, Development and Industry Partnerships holds a robust portfolio with a primary focus on graduate level (MS and PhD) alumni and industry and corporate partners, including undergraduate alumni, parents and friends of Columbia with the capacity to make six- to eight-figure gifts. The incumbent is responsible for building a portfolio of individual, corporate and foundation relationships with a primary focus on graduate level alumni. They will design and develop solicitation strategies and proposals, solicit and close gifts, and continually steward, discover, and cultivate donors. The incumbent is a collaborative team player who will also work closely with the Dean, the Vice Dean for Development and Alumni Relations, EDAR, SEAS Offices of Strategic Research, Collaborations and Industry Innovations, and partners at Columbia University Office of Alumni Relations and Development (OAD) to identify priorities and execute our fundraising goals. They will serve as the primary point for EDAR working with SEAS faculty who are raising gifts to support their labs. This is a cross functional role requiring a holistic view and strategic program management. The incumbent must have effective writing and presentation skills and be a persuasive advocate for Engineering priorities. As a member of the Engineering Development and Alumni Relations team, they raise money for School priorities. Responsibilities Build, manage, and solicit a portfolio of major gifts, corporate and foundation gifts. • Responsible for conducting 150 personal visits over 12 months to cultivate, solicit, steward, and close gifts, in addition to cold calls., • Manage an active portfolio of 150 prospects, ensuring consistent follow-up and relationship building to enhance continued and increased support., • Manage and build a portfolio of SEAS graduate alumni, build and support the portfolio of corporate and foundation relationships, and secure gifts for research centers, SPA and other grants. It is important for the Director to collaborate and partner with SEAS Offices of Strategic Research, Centers Operations, Collaborations and Industry Innovations, and with individual Faculty who are working on gifts to their labs., • Must have demonstrated success in achieving fundraising goals and managing high-level donor relationships., • Prepares written solicitation materials, proposals, talking points, and briefings tailored to individual donors and prospects to unlock personal philanthropy, as well as corporate and foundation gifts., • Actively seek opportunities through alumni and faculty networks., • Serves as a partner within EDAR and OAD to help other fundraisers leverage alumni donors' roles in industry as founders, members of the c-suite or research leads to unlock additional funding outside of individual philanthropic gifts. Work with colleagues in Corporate and Foundation Relations at the University level., • Directly solicit or support 25 annual gifts of $10k+ each year., • Partner with units across the University, including the Engineering Office for Research and Engineering Industry Innovations, where philanthropic giving plays a crucial role in establishing a research Center or cluster, or other complex project., • This includes advising or seeking appropriate guidance on distinguishing gifts from grants or sponsored research; drafting gift agreements; coordinating internal review processes and in some cases, facilitating gift agreement negotiations between donors and Gift Strategy; working with colleagues within departments, Finance, and other relevant teams to ensure gifts are set-up, received, and processed as needed., • Establishing best practices for complex corporate gifts., • Builds internal relationships with administrators and faculty across the School and campus to understand School and University priorities. Attends related meetings, • Participate in regular team meetings to evaluate progress and adjust strategies as needed, • Serve as the primary liaison between the Engineering Development team and department administrators and faculty involved in the gifts process. Draft gift agreements, coordinate internal reviews of agreements and other related materials, and when needed facilitate negotiations among donors, industry partners, and Gift Strategy. Collaborate with departments, Finance, and other teams to ensure gifts are properly set up, received, and processed. Provide updates and guidance on development processes and serve as a resource for department assistants and faculty on development-related questions., • Serve as a liaison between relevant teams and EDAR regarding outreach and communications with alumni, donors, and prospects, ensuring coordination that reflects and balances existing relationships., • Lead training sessions for School colleagues to promote understanding of development processes and procedures as needed., • Support donor/volunteer boards as needed, including planning and leading meetings and recruiting new members., • The Columbia Engineering Board of Visitors (BOV) includes a number of dedicated and engaged industry leaders. They work in committees and advisory groups. The incumbent may manage and help develop the committee on Industry Partnerships to advance the priorities of the School in partnership with the Senior Director, Industry Innovations and Director of Strategic Collaborations. Organize two-four committee meetings per year; work with the Dean and Vice Dean of Engineering to set strategic priorities for this committee. Minimum Qualifications • A bachelor's degree is required., • A minimum of five (5) to seven (7) years of experience demonstrating success in all phases of cultivating, soliciting, and stewarding gifts from individuals, corporations, and foundations or a demonstrated ability to establish long-term relationships with constituents., • Experience with volunteer management, programming and events; or related experience is required., • Excellent writing and communication skills, tact, sensitivity and mature judgment are required., • Must be professional, organized, creative and efficient, able to work successfully, both individually and as part of a team., • Demonstrates a spirit of mutual support and excitement for Columbia and embodies collaborative problem-solving across complex organizational structures., • An advanced degree is desirable., • Experience with Columbia University structure and cultures strongly preferred as is successful experience staffing senior institutional leaders., • Five to seven years in fundraising, corporate/industry related or related transferable experience preferred, with demonstrated success fundraising giving or applicable ability., • Experience with higher education., • Having an intellectual interest in engineering, technology and STEM would be helpful., • This position requires evening and weekend work and travel as necessary. Columbia University is committed to the hiring of qualified local residents.

This is a unique opportunity to apply your engineering expertise toward shaping the next generation of intelligent systems. Ideal Qualifications** - Degree: Bachelor’s, Master’s or PhD in a STEM field (Physics, Chemistry, Mathematics, Biochemistry, or related Computational Sciences). Project

Pay Rate: $74.00 - $78.00 Negotiable based upon years of experience Global Financial Firm located in RUTHERFORD, NJ has an immediate contract opportunity for an experienced Data Scientist Summary: Immediate contract opportunity for an experienced professional Location: Rutherford, NJ Role involves establishing and implementing new or revised applications and programs in the Technology team Focus on data extraction and analysis from structured and unstructured sources Develop systems to clean results and build predictive and prescriptive models Implement models in a production environment Address complex problems involving financial data with a focus on credit risk management Open to learning new and advanced models in LLM and GenAI Responsibilities: Architect, design, and implement robust Python-based solutions Lead global technology teams across different time zones, enabling a hybrid work model Drive Object-Oriented Programming (OOPS) principle-based development Mentor team members to leverage advanced Python coding techniques and features Partner with multiple management teams for integration of functions and system enhancements Resolve high impact problems/projects through in-depth evaluation of complex business processes Provide expertise in applications programming and ensure design adheres to architecture blueprint Develop standards for coding, testing, debugging, and implementation Provide in-depth analysis with interpretive thinking for defining issues and developing solutions Serve as advisor or coach to mid-level developers and analysts Implement Unit Testing and TDD to ensure software quality and maintainability Assess risk when making business decisions, demonstrating consideration for the company's reputation Requirements: PhD or master’s degree in computer science, data science, statistics, mathematics, engineering, or related field 5 years of industry experience specializing in ML modeling, ranking, recommendations, or personalization systems 5 years of experience designing and developing scalable and reliable machine learning systems Strong background in ML/DL/LLM algorithms, model architectures, and training techniques Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming languages Ability to work independently and collaboratively within a team Preferred Skills: Experience in GenAI/LLMs projects Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL) Background in financial business like banking, risk management Familiarity with capital markets and financial instruments and modeling

Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role. Why join us? • Competitive Base Salary, • Company paid health plan for employees, • Flexible Hours, • Very generous PTO, • Dental and Vision, FSA, HSA, • Small team, autonomy, • Many more great perks! Job Details Responsibilities: • Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation)., • Ensure the robustness, scalability, and enterprise-level security of solutions., • Collaborate with the data science team to transform prototypes into new products, services, and features., • Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation., • Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity., • Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data., • Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices., • Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree or PhD will be a plus., • Minimum of 6 years of experience as a Machine Learning Engineer or similar role., • Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting., • Proven experience in designing and implementing machine learning solutions at scale on AWS., • Solid experience in software development with a focus on quality, performance, and scalability., • Proven ability to design and implement robust data pipelines., • Strong experience with data modeling, data access, and data storage techniques., • Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders., • Strong problem-solving skills, attention to detail, and ability to think creatively., • Ability to work independently and as part of a team in a fast-paced, dynamic environment., • Strong passion for learning and adapting to new technologies., • AWS Certified Machine Learning or similar certification will be a plus. 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Position Summary The Califano lab, in the Department of Systems Biology at Columbia University, is seeking exceptionally qualified candidates for a Postdoctoral Research Scientist position in the laboratory. Successful candidates will possess extensive expertise in wet-lab experimentation and advanced single-cell and spatial multi-omics technologies and will participate in highly competitive research programs aimed at producing innovative, high-impact publications. The ideal candidate will have outstanding scientific credentials, including first-author publications in leading journals and presentations at major international conferences relevant to single-cell biology, spatial genomics, systems immunology, cancer biology, stem cell biology, or related fields. We are particularly interested in candidates with demonstrated expertise in the development and application of spatially resolved and single-cell technologies, including spatial transcriptomics, spatial ATAC-seq, multiplexed spatial proteomics, CITE-seq, Perturb-seq, CROP-seq, CRISPR-based perturbation systems, and advanced single-cell library preparation and profiling methods. Candidates with strong backgrounds in immunology, cancer biology, stem cell biology, molecular and cellular biology, epigenetics, genetics, biomedical engineering, biochemistry, or related disciplines will be especially well suited. Experience integrating multimodal datasets-including transcriptomic, epigenomic and proteomic modalities-to define regulatory programs and cellular states within intact tissue architecture is highly desirable. Integration of quantitative analysis, high-throughput experimentation, and technology development is a hallmark of our department and laboratory. Accordingly, the Postdoctoral Research Scientist will: • Develop and apply cutting-edge spatial and single-cell multi-omics technologies to interrogate regulatory and signaling networks in complex tissue ecosystems., • Define cell-state transitions and regulatory circuits in physiologic and pathophysiologic contexts with current focus on cancer., • Design and implement CRISPR-based perturbation strategies (CRISPR, CRISPRi/a) to functionally test regulatory hypotheses derived from systems-level inference., • Integrate genomic, epigenomic, and proteomic datasets to elucidate molecular determinants of cellular phenotypes and their spatial organization., • Develop new methodological and computationally informed frameworks for dissecting regulatory logic and signaling network architecture within tissues. The successful candidate will be expected to thrive in a highly collegial and collaborative environment, mentor junior trainees, contribute to consortium-scale and multi-institutional projects, and participate in the preparation of fellowship and grant applications. Strong communication and scientific writing skills are essential. Our laboratory has an outstanding record of training and career placement, with former members advancing to academic faculty positions (including leadership roles) and senior positions in biotechnology and pharmaceutical industries. Minimum Qualifications • PhD in molecular biology, immunology, cancer biology, genetics, epigenetics, stem cell biology, biomedical engineering, biochemistry, or a related field., • Demonstrated record of first-author publications in peer-reviewed journals., • Expertise in spatial transcriptomics, spatial ATAC-seq, multiplexed proteomic imaging, and multimodal data integration., • Experience with CRISPR-mediated gene editing, perturbation screening (including single-cell CRISPR-based approaches), and gene regulatory analysis., • Familiarity with regulatory and signaling network modeling and systems biology frameworks., • Experience working with complex in vivo models and/or primary human tissues. Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Responsibilities: The Computational Biomarker Imaging Group (CBIG) has an open postdoctoral positions. CBIG's mission is to act as a translational catalyst between computational science and cancer imaging research. Work in our group focuses on developing innovative image analysis, machine learning, AI and data science methodologies for multimodality imaging, and also on incorporating such methods into clinically relevant applications. Most of our work to date has been on breast and lung cancer imaging, while more recently expanding more broadly in oncologic imaging and molecular imaging applications. A priority area is integrating imaging with genomic biomarkers towards integrated precision diagnostics for prevention and therapy for cancer. Applications focusing on radiomics and deep learning are also a priority. We are seeking highly motivated individuals with excellent academic track-record, including first-author publications in peer-reviewed journals. Applicants should demonstrate excellent oral and written communication skills, and the ability to work effectively independently and as part of a multidisciplinary research team. Salary range is from $75,000 - $85,000 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Successful candidates should have, or be in the process of completing, a PhD (or equivalent) in Biomedical, Electrical or Computer Engineering, Computer and Information Science, Applied Mathematics, Statistics/Biostatistics, Bioinformatics, or related field. Ideal applicants should have a background on biomedical image analysis, computer vision, pattern recognition and/or machine learning. Experience with Bioinformatics is a plus. Proficiency in quantitative analytical methods and computer programming (e.g., Python, C/C ) is essential. Experience with medical image analysis (e.g., MRI, CT, X-ray, Ultrasound) and related statistical methods and software packages (e.g., ITK C/C libraries, R/SPSS) is desired (but not necessary). Experience with Deep Learning is also ideal (e.g., TensorFlow, Keras, PyTorch packages, etc.). Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Job Location(s) US-NY-Old Westbury Job ID 2024-3754 Division College of Osteopathic Medicine Position Type Faculty Type Regular Full-Time Category College of Osteopathic Medicine The Department of Biomedical Sciences at New York Institute of Technology College of Osteopathic Medicine (NYITCOM), seeks an Assistant/Associate Professor, located at the Long Island (Old Westbury, NY) campus. NYITCOM has recently established an imaging center which includes many state-of-the-art microscopes. NYITCOM also has a histology core. The department includes a small animal physiology core with comprehensive assessment of cardiac function and echocardiography. The faculty have access to these cores, centers, and the animal facility overseen by the NYITCOM Office of Research. The Department of Biomedical Sciences at New York Institute of Technology College of Osteopathic Medicine (NYITCOM), seeks an Assistant/Associate Professor, located at the Long Island (Old Westbury, NY) campus. NYITCOM has recently established an imaging center which includes many state-of-the-art microscopes. NYITCOM also has a histology core. The department includes a small animal physiology core with comprehensive assessment of cardiac function and echocardiography. The faculty have access to these cores, centers, and the animal facility overseen by the NYITCOM Office of Research. Responsibilities: The successful applicant will be expected to build a research program in neurodevelopmental or neuroendocrine research and work to attain external grant funding. Participate in teaching in the College of Medicine, as required. Build a research program as a core member of the Biomedical Research Imaging Innovation Center (BRIIC) initiative that is being formed at the NYIT Old Westbury, NY campus. Applicants should have a PhD, MD, DO or other comparable doctoral degree. Strengths in the areas of cardiovascular, cancer, and neuroscience, and experience in adult human induced pluripotent stem cell (iPSC) research, iPSC-derived organoid research, neuroendocrine research is required. Experience in Magnetic Resonance Imaging for basic research is preferred. New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability. A nonprofit, independent, private, and nonsectarian institute of higher education founded in 1955, it welcomes nearly 8,000 students worldwide. The university has campuses in New York City and Long Island, New York; Jonesboro, Arkansas; and Vancouver, British Columbia, as well as programs around the world. More than 112,000 alumni are part of an engaged network of physicians, architects, scientists, engineers, business leaders, digital artists, and healthcare professionals. Together, the university's community of doers, makers, healers, and innovators empowers graduates to change the world, solve 21st-century challenges, and reinvent the future. For more information, visit nyit.edu. In compliance with local legislation as well as to provide greater transparency to candidates, the annual base salary range for this position is listed. New York Tech considers factors such as (but not limited to) scope and responsibilities of the position, candidate experience/expertise, education/training, key skills, geographic location, internal peer equity as well as market, organizational considerations and/or applicable collective bargaining agreement when extending an offer. USD $100,000.00/Yr. USD $130,000.00/Yr.

Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics). We work in a team environment, collaborating closely with cross-functioning teams including the

Job Family : Power Systems Engineering Consulting Travel Required : Up to 25% Clearance Required : None What You Will Do : The Managing Consultant Transmission & Distribution ( T&D ) Technical Services plays a key role in leading, developing, proposing, and delivering solutions related to the Transmission and Distribution (T&D) energy grids. The Managing Consultant-T&D Technical Services position is a highly challenging role that draws heavily upon all of the analytical, creative, and interpersonal skills essential to delivering effective regulatory and general strategy consulting engagements. It is essential for the Managing Consultant-T&D Technical Services to lead and have the ability to assume complete ownership of projects while at the same time being a part of a technical team. The Managing Consultant-T&D Technical Services will also function as an advisory consultant and must organize their own tasks and schedules in carrying out substantial business analyses and delivering high-quality, client-ready work. The Managing Consultant-T&D Technical Services must organize all tasks and schedules in carrying out substantial business analyses and delivering high-quality, client-ready work. As our clients are often large with complex systems, the Managing Consultant-T&D Technical Services must demonstrate considerable potential to have the poise, independence, and business maturity to perform effectively and add value in the client environment. Key Responsibilities: * Lead and perform data analysis, technical engineering reviews, power systems modeling, and/or primary data collection. * Fact-finding, research, and analysis on energy-related activities. * Familiarity with or ability to quickly grasp various transmission planning concepts, practices and procedures, and ability to apply Transmission Planning reliability criteria to perform analysis. * Develop and perform power systems analysis including transmission planning feasibility studies, System Impact Studies and Generator Interconnection Studies. * Build, enhance, and perform Steady State, Dynamic Stability Simulation, Voltage Stability Simulation, and Short Circuit Analysis. * Research thermal overloads and help recommend mitigations / transmission upgrades. * Effectively communicate solutions and new strategies to clients and stakeholders. * Oversee and develop / fine tune dynamic models for conventional and inverter-based resources (IBRs) and implement them for stability/transient simulation-based analysis. * Mentor junior consultants in expanding their individual know-how and business acumen on energy markets, business development and client management skills. What You Will Need : * Must be a US Citizen or US Permanent Resident due to nature of client engagements and critical infrastructure data. * Managing Consultant -Bachelor's degree in electrical or power systems engineering from an accredited university or college AND Five (5+) plus years post-graduation work experience in the Utilities industry; Or Master's degree in electrical or power systems engineering from an accredited university or college AND Three (3+) plus year post-graduation work experience in the Utilities industry; Or PhD in electrical or power systems engineering from an accredited university or college AND One (1+) plus year post-graduation work experience in the Utilities industry. * Associate Director -Bachelor's degree in electrical or power systems engineering from an accredited university or college AND Seven (7+) plus years post-graduation work experience in the Utilities industry; Or Master's degree in electrical or power systems engineering from an accredited university or college AND Five (5+) plus year post-graduation work experience in the Utilities industry; Or PhD in electrical or power systems engineering from an accredited university or college AND Three (3+) plus year post-doctoral work experience in the Utilities industry. * Technical understanding of or the ability to learn various power systems engineering tools such as PSLF / POWERWORLD Simulator/ PSSE / ASPEN / TARA/ CAPE / DSATools / PSCAD or EMPT * In-depth knowledge of transmission and distribution systems from a planning and operations standpoint. * Familiarity with and ability to quickly become adept at FERC, NERC, and state regulatory requirements and processes. * Excellent oral and written communication skills. * Outstanding analytical and problem-solving skills. * Ability to travel. * Ability to work onsite in Guidehouse Office or Client Office location. What Would Be Nice To Have : * Preference will be given to candidates within reasonable driving distance of a core Guidehouse Office or Client Office location. * Post graduation work experience using one or more of the following power systems engineering tools: PSLF, POWERWORLD Simulator, PSSE, ASPEN, TARA, CAPE, DSA Tools, PSCAD or EMTP. * Post graduation consulting experience within the utilities industry. * Working knowledge of ISO/RTO operations and functions, especially western markets and CAISO * Knowledge of resource interconnection and expansion planning practices and protocols * Familiarity with transmission development, including competitive development * Ability to code and knowledge of coding languages such as R, Python, VA, SQL #LI-RE1 The annual salary range for this position is $118,000.00-$196,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer : Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. * Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays * Position may be eligible for a discretionary variable incentive bonus * Parental Leave and Adoption Assistance * 401(k) Retirement Plan * Basic Life & Supplemental Life * Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts * Short-Term & Long-Term Disability * Student Loan PayDown * Tuition Reimbursement, Personal Development & Learning Opportunities * Skills Development & Certifications * Employee Referral Program * Corporate Sponsored Events & Community Outreach * Emergency Back-Up Childcare Program * Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Experience in designing, training, or refining complex ML/AI models. Elevate engineering excellence by writing well-tested code, conducting code reviews and fostering a culture of quality by advocating best engineering practices. Software Engineer, PhD, Early Career, AI/Machine Learning, 2026 Start.

Master's degree or PhD in Engineering, Computer Science, or a related technical field. Google's software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for software developers who br

Example: Master’s or PhD in Computer Science, Statistics, or related field; 3+ years in data science or ML engineering roles. We’re launching an internal AI/LLM venture and seeking a true co-founder who will lead our technical vision, drive product development, and build a world-class data scien

Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics). Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to del

One or more of the following: CPA License, Levels 1 & 2 of the CFA exam, JD, PhD, MBA or Master's degree in Finance, Tax, Quantitative Statistics, Financial Engineering, Economics, Real Estate Finance or Hospitality, State-Certified Appraiser License***, Member Appraisal Institute (MAI), or completi

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityWe are seeking a talented and forward-thinking alloys Materials Scientist with expertise in materials research and development to join our innovative team at the forefront of interdisciplinary research. In this role, you will leverage cutting edge experimental techniques to accelerate materials discovery, design, and optimization, contributing to groundbreaking advancements in materials science.Mission • Design and execute experiments to synthesize and characterize materials, leveraging AI algorithms to guide experimental design and interpretation., • Analyze and interpret large datasets generated from experiments, simulations, and external sources to extract valuable insights into materials properties and behavior., • Work closely with AI scientists and engineers to translate materials properties, identify structure-property relationships, and optimize materials performance for specific applications., • Stay current with advancements in materials science theory and experimentation and apply new methodologies and techniques to advance research objectives., • Communicate research findings effectively through technical reports, presentations, and scientific publications, contributing to the dissemination of knowledge and the development of intellectual property.About you, • PhD or Masters degree in Materials Science, Chemistry, Chemical Engineering, Polymers, or a related field, • Strong background in materials science principles, including materials synthesis and characterization., • Deep knowledge of materials characterization and testing, as well as familiarity with laboratory safety protocols., • In-depth industry knowledge of metal synthesis, including potentials, limitations, and key process and equipment suppliers., • Specialized metallurgical knowledge and experience in metallographic and fractographic interpretation, corrosion, oxidation and materials characterization techniques is desired., • Excellent analytical and problem-solving skills, with the ability to analyze complex datasets, identify patterns, and draw meaningful conclusions., • Strong written and verbal communication skills, with the ability to convey technical concepts and research findings to diverse audiences.Pluses, • Experience with AI-driven materials research, including machine learning models for materials property prediction, materials informatics, and data-driven materials discovery., • Familiarity with one or more software languages (Python, C++, MATLAB, etc.), • Prior experience in transitioning AI + computational research into production environments.What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family covered at 100%, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Machine Learning Engineer to develop and expand our revenue forecasting and dynamic pricing systems. This position is part of the machine learning team within the Advanced Technology Group (ATG) and directly influences key business metrics, including revenue, utilization, and customer demand. In this role, you will design and implement models that predict demand, analyze price–demand relationships, and develop pricing strategies. This is a highly impactful role with significant ownership over data, modeling, and infrastructure systems. What you'll do • Design, develop, and productionize demand forecasting models optimized for different business goals (e.g., visits, revenue, availability), • Innovate and improve Machine Learning models for price elasticity, time series, and probabilistic models for revenue optimization, • Design and build end-to-end data pipelines to support large-scale production usage, • Identify data issues (e.g., bias, leakage, labeling inconsistencies) and drive solutions, • Design and analyze experiments (A/B, switchback, causal inference) to validate pricing strategies, • Deploy and monitor models in production, ensuring reliability, scalability, and data quality, • Collaborate with product, engineering, and business teams to translate requirements into scalable ML solutionsWhat we're looking for, • PhD in Computer Science, Statistics, Economics, Applied Mathematics, or a related STEM field, with at least 1+ years of relevant experience, or MS with equivalent publications, • Proficient programming skills in Python and SQL, • Foundational experience in machine learning modeling and statistics, such as time series forecasting, probabilistic models, and deep learning models, • Strong knowledge with forecasting, optimization, and decision-making algorithms, including revenue maximization, constrained optimization, and demand/price curve optimization, • Solid understanding of causal inference and experimentation, with experience evaluating both short-term and long-term effects (A/B testing, DiD, uplift modeling), • Hands-on experience with data pipeline development, including AWS data storage, data transformation, distributed processing (Spark), and workflow orchestration (Airflow), • Strong communication skills, both written and verbal, with the ability to operate effectively at team and deep technical levels When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 USD to $180,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-NM1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job DescriptionAbout Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on . About The Job: Technical Lead, Applied AI Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings. As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision. What you will do - Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.- Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.- Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.- Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.- Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.- Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle. About you- You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.- You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions.- You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.- You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.- You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.- You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.- You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.- You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent. Ideally, you have:- Contributed to open-source projects, particularly in the LLM or AI space.- Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.- A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities. Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!What we offer • \uD83D\uDCB0 Competitive salary and equity., • \uD83D\uDE91 Healthcare: Medical/Dental/Vision covered for you and your family., • \uD83D\uDC74\uD83C\uDFFB Pension : 401K (6% matching), • \uD83C\uDFDD️ PTO : 18 days, • \uD83D\uDE97 Transportation: Reimburse office parking charges, or $120/month for public transport, • \uD83C\uDFC0 Sport: $120/month reimbursement for gym membership, • \uD83E\uDD55 Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger), • \uD83C\uDF0E Visa sponsorship, • \uD83E\uDD1D Coaching: we offer BetterUp coaching on a voluntary basis By applying, you agree to our Applicant Privacy Policy.

Job DescriptionAbout Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on . About The Job Mistral AI is seeking world class Applied Scientists and Research Engineers who wish to relocate to Singapore. You will be focused on multimodal learning (text, image, audio, video) to drive innovative research and collaborate with clients on complex projects. You will design, train, and deploy SOTA multimodal models (e.g., Omni-models, VLMs, Audio, Image generation, Robotics and much more) and apply them to diverse use cases: enterprise search, agents grounded in images and documents, video understanding, and speech interfaces. You’ll work cross‑functionally with internal and external science, engineering, and product teams to deliver high‑impact AI solutions. What you will do • Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. You don’t panic when you see OOM errors or when NCCL feels like not wanting to talk.• Generate and curate multimodal datasets (web‑scale image‑text, document‑image, audio‑text, video‑text), and build robust evaluators/benchmarks for perception, grounding, OCR, and captioning.• Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment.• Collaborate with cross-functional teams to tackle complex use cases using agents and RAG pipelines.• Manage research projects and communications with client research teams. About you • You are fluent in English, and have excellent communication skills. You are at ease explaining complex technical concepts to both technical and non-technical audiences.• You’re an expert with PyTorch or JAX.• You’re not afraid of contributing to a big codebase and can find yourself around independently with little guidance.• You have experience in one of the following: VLMs, diffusion for image/video, audio processing (ASR/TTS), image processing, robotics.• You write clean, readable, high-performance, fault-tolerant Python code.• You don’t need roadmaps: you just do. You don’t need a manager: you just ship.• Low-ego, collaborative and eager to learn.• You have a track record of success through personal projects, professional projects or in academia. It would be great if you • Hold a PhD / master in a relevant field (e.g., Mathematics, Physics, Machine Learning), but if you’re an exceptional candidate from a different background, you should apply.• Can bring a variety of research experience (agents, multi-modality, robotics, diffusion, time-series).• Have contributed to a large codebase used by many (open source or in the industry).• Have a track record of publications in top academic journals or conferences.• Love improving existing code by fixing typing issues, adding tests and improving CI pipelines. Benefits Singapore \uD83D\uDCB0 Competitive cash salary and equity\uD83D\uDE91 Health Insurance\uD83E\uDD4E Sport : $90 for gym membership allowance\uD83E\uDD55 Food : $200 monthly allowance for meals (solution might evolve as we grow bigger)\uD83D\uDEB4 Transportation : $120/month for public transport or Parking charges reimbursed

Job Description Drive change that matters. Build the partnerships shaping a sustainable future. • Do you want to work with leading organizations to help them achieve their sustainability ambitions?, • Do you want to be part of a team recognized as a sustainability leader, driving impact through strategy, innovation, and collaboration?, • Are you excited to build lasting relationships with industry leaders and help guide their transformation journey?, • Are you ready to turn your business acumen into real sustainability impact for people and the planet? THE ROLE As a Sustainability Principal focusing on client relationships, you’ll drive business development at a strategic level across Pharmaceuticals and Personal Care sectors in the US. You will build and maintain high-impact client relationships and lead large scale projects. You’ll own business development strategies for your sector and lead one or more key accounts. You’ll develop long-term client partnerships, secure high-value contracts, and drive strategic growth within the firm. You will contribute significantly to the company’s revenue growth and market presence in the sector, by developing an innovative offering and building a strong external profile. You’ll design and implement account strategies aligned with client priorities, ensuring high-quality, consistent delivery in collaboration with internal experts. You’ll be a line manager for a team to supervise the work of your team members and to support their growth and development. You will also be expected to mentor and help develop other colleagues at various levels in other teams. WHY YOU’LL LOVE QUANTIS Quantis, a BCG company, is a leading sustainability consultancy tackling the world’s most pressing environmental challenges. For nearly two decades, our expert team has partnered with organizations across the globe to transform industries and shape an economy that thrives in harmony with nature. We guide companies from business as usual to business at its best by uniting the latest science with strategic insights, helping them reduce impacts, implement solutions, and operate within planetary boundaries. United by a common purpose, our 250+ professionals embody a unique, collaborative culture that we call the Quantis Spirit. We are innovative. We are impact-oriented. We are science-driven. We are Quantis. Learn more about Quantis and our mission. ARE YOU READY TO SHAPE STRATEGY, LEAD GROWTH AND STEER TEAMS? • You’re eager to apply your sustainability experience, business development, client relationship and consulting capabilities, and leadership skills to our mission of aligning businesses with planetary boundaries., • For 8-12+ years you’ve been working in strategy consulting and/or in the Pharmaceuticals and/or Personal Care sectors, with significant exposure to and interest in corporate sustainability. You have a strong knowledge of the sector, understand the challenges and needs, and have a significant network., • You have a successful track record in sales, bringing on new clients and building strategies for clients., • You have solid experience providing effective and visionary peer and team leadership, and strategic decision-making., • You have demonstrated strong influencing and stakeholder engagement skills., • You have strong project management experience and skills., • You bring a Master’s or PhD degree or equivalent experience that equips you to guide companies to understand and design transformative and science-based strategy (Environmental Science, Engineering, Business, Economics...)., • Whatever your background, you’re intellectually curious, have a science-based mindset, and motivated to learn and grow., • You bring an entrepreneurial mindset and enjoy co-creating innovative solutions with your team., • You’re confident using generative AI tools, while maintaining a critical and thoughtful mindset., • You communicate effectively in fluent English. WHAT YOU MIGHT ALSO BRING TO THE ROLE • Additional knowledge in further corporate sustainability topics and/or sectors other than your specific sector., • Exposure to/experience with topics related to corporate/product footprinting, nature (biodiversity, water), climate strategy & risk, land & agriculture, ESG reporting and stakeholder engagement and other relevant sustainability topics., • Good knowledge of sustainability frameworks relevant to your sector and expertise. WHEN YOU MIGHT BE READY FOR THE NEXT STEP As you drive business development, lead large scale, transformative projects and contribute to the growth of the team, you’ll build your commercial platform, providing visionary leadership in business development. Your next step will be Sustainability Senior Principal, where you’ll shape Quantis’ strategic direction in your sector. SOME OTHER DETAILS TO CONSIDER • Contract: Permanent, • Location: Greater New York (preferred) or Boston. Hybrid scheme., • Compensation: The compensation target for this role ranges from $1600,000/year-$169,000/year., • Optimal start date: To be discussed, • Punctual collaboration with other Quantis branches via web-conference, • Ability to travel Unlocking the Potential of All Quantisians At Quantis, Unlocking Potential means empowering our employees to thrive, enabling them to drive our mission and manifesto forward—creating meaningful impact for people and the planet. We aim to achieve this by nurturing a culture rooted in collective action, and shared purpose, where diversity is cherished, inclusion is lived, mental wellbeing is supported, and opportunities are open to all. This extends to our clients, their clients, and their entire value chain as sustainable thinking and collective representation are integral components of our purpose to transform the way that businesses operate. This is how we commit to our people, live our manifesto, and shape a sustainable future - together.

Job Description Hi, we're Oscar. We're hiring a VP of Data Science (Core Insurance) to join our Data Science team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: This leadership position is responsible for directing all Data Science efforts centered on Oscar's core insurance operations. The primary focus is on utilizing advanced predictive modeling and AI to enhance critical insurance functions and spur innovation in the management and delivery of healthcare. You will report into the SVP, Data. Work Location: This position is based in our New York office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $290,628 - $381,449 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants and annual performance bonuses. Responsibilities: • Core Insurance Data Science Strategy: Define and execute the strategy for utilizing data science and AI to optimize key insurance functions, including risk adjustment, underwriting, claims management, fraud detection, and actuarial modeling, with a focus on solving end to end consumer and business problems, in partnership with engineering, product, and business stakeholders., • AI and Innovation Leadership: Spearhead the application of cutting-edge AI and machine learning models (e.g., deep learning, large language models) to solve complex problems in the healthcare and insurance space, driving innovation for the future of health care. This includes identifying and building full consumer facing features., • Model Development and Deployment: Lead the full lifecycle of data science projects, from hypothesis generation and experimentation to the robust deployment and maintenance of production-grade models in partnership with the engineering teams., • Business Impact and Value: Work closely with business leaders (e.g., Actuarial, Finance, Operations) to translate complex data science results into tangible business value, improving efficiency, reducing costs, and enhancing member experience., • Platform Collaboration: Collaborate with the VP of Analytics and the broader engineering organization to ensure the data science team has access to the necessary data infrastructure, tools, and MLOps capabilities., • Team Building: Build and manage a team of expert data scientists and machine learning engineers, fostering a culture of rigorous scientific inquiry, continuous learning, and measurable business impact., • Compliance with all applicable laws and regulations, • Minimum: Bachelor's degree in a quantitative or technical field (e.g., Data Science, Statistics, Computer Science, Economics, Mathematics, or Engineering)., • Leadership Breadth: 10–15+ years of experience in data, analytics, or insights, with at least 5–7 years in a senior leadership role (Director or VP level)., • Function Buildout: Proven track record of building and scaling a centralized analytics or data science function from the ground up, ideally in a mid-to-large-scale organization., • Healthcare Domain: 5+ years of experience in the healthcare industry. Must have a deep understanding of clinical data, health-tech operations, and the regulatory environment (HIPAA, GDPR, etc.)., • Technical Ownership: Experience managing the full data stack, including collaboration with Engineering on data architecture, platform scalability, and analytics engineering (e.g., Snowflake, dbt, Databricks)., • Insights & Research Oversight: Demonstrated experience overseeing qualitative and quantitative research functions, specifically managing User Research (UXR) and Market Research teams to drive product/strategy decisions., • Preferred: Master's degree or PhD in Data Science, Health Informatics, MBA with a technical concentration, or a related quantitative field. An advanced degree is highly preferred given the "Innovation via AI" and "Insights/Research" components., • Strategic Storytelling: Ability to translate complex data and AI concepts into compelling narratives for executive stakeholders and Board-level presentations. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description Company Description Curinos empowers financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights. With decades-long expertise in the financial services industry and a relentless focus on the future, Curinos technology and analytics ecosystem allows clients to anticipate customer needs and optimize their go-to market decisions in an increasingly competitive market. Curinos operates in a hybrid/remote model, and this position is fully remote in the United States or hybrid in the Greater New York, Boston or Chicago metropolitan Job Description Curinos is seeking a Head, AI Platform Engineering to lead the AI Platform team building the foundational AI capabilities that enable compliant, safe, production-grade AI in our B2B SaaS Decision Intelligence Platform in the FinTech vertical. The AI Platform is a force multiplier at Curinos. This role is responsible for making advanced AI—LLMs, agents, and tools—reliable, governed, and easy to ship, so product teams can focus on delivering client value. You will lead a talented team of AI scientists and ML engineers, work with product managers, and partner with Data Platform and client-facing product teams in bringing to life LLM-powered features, agentic/tool‑calling workflows, and MCP server–based tool integrations. As a company that specializes in data-driven insights in a highly regulated industry, the reliability, scalability, and effectiveness of our AI platform are integral to our product offerings. This role requires deep technical expertise, strategic thinking, and strong collaboration across engineering, data science, and product teams, as well as the skill to manage and mentor team members in their professional development. You will exercise your executive presence to influence internal stakeholders, including executive leadership, and represent Curinos AI with clients and external technology partners. Responsibilities • Own a pragmatic AI Platform roadmap focused on reuse, adoption, and production readiness of components that reduce friction and accelerate AI feature delivery across product teams, • Lead the design, engineering, delivery of scalable AI platform services, (e.g., extraction, assistants, chatbots) agentic / tool‑calling workflows, LLM‑backed systems, • Drive adoption and integration of MCP servers in our products as a first‑class mechanism for exposing tools and data to agents, using standardized, governed patterns, • Ensure observability of quality, safety, latency, costs across all AI-enabled products, including guardrails, evaluation patterns and safe defaults, consistent with company-wide standards of governance, • Lead and grow a team of AI engineers, setting a high technical bar through architecture reviews, coaching, SDLC, CI/CD, and clear ownership expectations, • Represent AI Platform with executive leadership, working closely with product managers, product teams and external technology partners Base Salary Range: $160,000-$220,000 (plus Bonus) Desired Skills & Expertise • Significant experience (10+yrs) and demonstrable track record leading data science, AI, engineering teams building and operating production platforms, • Hands‑on experience with LLM‑based systems, agentic or tool‑calling architectures, MCP servers and/or ML/AI services in production, • Experience with cloud platforms and strong working experience of data science, AI, and ML frameworks; Databricks and PySpark highly preferred, • You have exceptional communication skills that can be delivered in the context of your audience from deep science to business decision-makers, • You possess strong interpersonal skills and an ability to influence others around you towards data-driven business goals, • You can quickly pivot and act with agility as dictated by the needs of the business, • You hold an advanced degree (PhD preferred) or equivalent career experience in Applied Mathematics, Statistics, Engineering, Computer Science, or a related technical discipline Why work at Curinos? • Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from, • Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask!, • Unlimited PTO policy, floating holidays, volunteering days and a day off for your birthday, • Learning and development tools to assist with your career development, • Work with industry leading Subject Matter Experts and specialist products, • Regular social events and networking opportunities, • Collaborative, supportive culture, including an active DE&I program, • We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need! Inclusivity at Curinos • We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.

Job Description Location: United States Work Authorization: H1-B Sponsorship Available Reporting To: CEO Experience: 10+ Years Role Overview We are seeking a Head of Product Technical Marketing to lead the global marketing strategy and execution for advanced coherent optical communication technologies. This role will own the entire marketing functionfrom strategic positioning and product marketing to demand generation and go-to-market execution. The position requires a unique blend of technical depth in coherent optics and DSP technologies along with proven marketing leadership to accelerate growth in the optical communications and semiconductor markets. You will work closely with engineering, product, and sales teams, translating market needs into product requirements while articulating complex technologies into compelling market narratives. This role offers an opportunity to help shape the future of next-generation optical communication systems (800G, 1.6T and beyond) that power modern AI data infrastructure. Key ResponsibilitiesStrategic Leadership * Define and execute the global marketing strategy aligned with corporate objectives and product roadmap. * Position the organization as a leader in coherent DSP and optical semiconductor technologies. * Collaborate with executive leadership, engineering, sales, and operations to align product messaging with market needs. Product Technical Marketing * Own product marketing for Coherent DSP ASICs and optical communication solutions. * Conduct competitive analysis, market research, and differentiation strategy. * Develop and maintain MRDs (Market Requirements Documents) and PRDs (Product Requirements Documents). * Create technical marketing collateral including white papers, datasheets, product briefs, and presentations. * Represent the company at industry events, conferences, and analyst briefings. Demand Generation Go-To-Market * Develop and execute go-to-market strategies for product launches and marketing campaigns. * Lead digital marketing, PR, SEO/SEM, and event strategy to generate global demand. * Support sales enablement and account-based marketing initiatives to accelerate pipeline growth. * Work closely with sales leadership to support customer acquisition and market expansion. Team Budget Leadership * Build and lead a high-performance marketing team. * Manage marketing budgets and allocate resources to maximize ROI. * Drive cross-functional collaboration across marketing, product, engineering, and sales. Mandatory Requirements * Proven track record of bringing technical semiconductor or telecom solutions to market in a startup or high-growth environment. * Deep understanding of coherent optical systems, DSP algorithms, modulation formats, and telecom/datacom market dynamics. * Prior experience owning or writing MRDs and PRDs. * Extensive experience in product marketing leadership within optical communications, semiconductor, or networking industries. * Minimum 10+ years of progressive marketing leadership experience. * At least 5+ years of direct experience in coherent optics, DSP, optical transceivers, or photonic integrated circuits (PICs). Nice to Have * Experience working with hyperscalers, network OEMs, or system integrators. * Strong leadership and team management experience. * Experience managing marketing budgets and resource allocation. * Experience working in both startups and large enterprise environments. * Exceptional ability to translate complex technical concepts into compelling market narratives. Preferred Qualifications * MS or PhD in Electrical Engineering, Applied Physics, or related field.

Job DescriptionAbout Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI. About the Role A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic AI, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams. Responsibilities • Team Leadership: Lead a team of data scientists to develop innovative solutions to complex business problems. Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work., • Collaboration: Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions., • Strategic Assessment: Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue., • Solution Design: Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems., • Communication: Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner., • Continuous Learning: Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems., • Pipeline Management: Responsible for developing, implementing, and managing end-to-end machine learning pipelines. This will involve building, deploying, and maintaining machine learning models, as well as ensuring data quality and system stability. Requirements for the Role, • Education: Bachelor's, Master's, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field., • Experience: 6+ years of total experience in Data Science, Machine Learning & Generative AI., • Cloud Computing: 4+ years of hands-on experience with AWS, including deep expertise in deploying models and managing compute environments., • IBM WatsonX: 2+ years of hands-on experience with IBM WatsonX, • Agentic AI Tools: Experience with LangGraph, Google ADK or similar., • Agentic Architectures : Experience with advanced RAG & multi-agent systems., • Programming: Strong programming skills in languages such as Python, R, C++, and SQL., • Frameworks: Hands-on experience with ML frameworks, such as PyTorch or TensorFlow. XDOyWllq0r

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job DescriptionCompany Description Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world. Progress starts with you. Job Description This role sits within the Stablecoin Product team in the Commercial & Money Movement organization, driving the next generation of stablecoin enabled products and customer propositions. The position focuses on shaping long-term strategy, exploring emerging opportunities across Web3 and digital assets, and advancing innovation that fuels the future of Commercial & Money Movement solutions. As part of a high-impact team operating at the intersection of new technology and legacy operations, this role helps define how stablecoins can transform customer experiences with moving money and unlock new value for clients and partners. Opportunity Assessment * Develop and own the CMS Web3/stablecoin innovation roadmap and backlog. * Identify and lead discovery initiatives focused on future-looking opportunities across CMS. Shape initiatives around use cases identified through independent research and relationships with customers, sales, and industry partners. * Produce executive-friendly summarize with recommendations on how to address new opportunities, including perspectives on overall market opportunities, commercial models, revenue sizing, technical flows and feasibility against a build/partner framework. Proof of Concepts * Design proofs-of-concepts including success criteria and delivery plan. * Take an iterative, customer-centric approach with customers and partners, such as by launching a formal co-design workstream. * Guide early stage product experimentation, from ideation through validation. * Where needed, identify and form partnerships to generate insights, validate concepts, and run test commercials. * Track and deliver innovation outcomes, including proofs-of-concept (POC) launches, patent filings, and engagement funnel growth. Scalable Solution Design * Following delivery of proofs-of-concept (POCs), evaluate performance and manage transitions to domain experts for scaled execution. * Articulate commercial case against scaled execution balancing needed investment and time to revenue Thought Leadership * Facilitate high-impact presentations, group decisions and participate on panels covering innovation roadmaps and proofs-of-concepts in internal and external forums * Feed into marketing and communications roadmap, including producing written thought leadership pieces, blog posts, and social media content This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 15 or more years of experience with a Bachelor’s Degree or 12 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, or MD), PhD with 9+ years of experience, • 15+ years of experience in product management, payments, fintech, or related fields., • Experience with B2B payments, stablecoins, digital assets, blockchain, or money movement infrastructure., • Demonstrated ability to drive cross functional product development from 0 → 1, including defining requirements, navigating ambiguity, and bringing new capabilities to market., • Proven track record of leading go-to-market execution across regions and partner ecosystems., • Strong analytical and problem-solving skills, with the ability to break down complex technical and regulatory concepts., • Excellent communication, executive level storytelling, and stakeholder management abilities., • Experience operating in fast paced, matrixed global organizations with multiple cross functional partners (Product, Engineering, Risk, Legal, Compliance, Regions)., • Ability to balance strategic thinking with hands on delivery and execution., • High degree of comfort with emerging technologies, experimentation, and navigating evolving regulatory landscapes., • Deep familiarity with stablecoin mechanics (reserve models, custody, mint/burn flows, settlement models)., • Experience working with wallet providers, stablecoin issuers, payment processors, or on/offramp partners., • Understanding of Visa, Visa Direct, and commercial card ecosystems., • Experience designing or launching programmable money, tokenized value, or real-time payment solutions., • Prior ownership of commercialization or revenue-driving responsibilities., • Ability to develop clear frameworks and prioritize across multiregional product demands., • Strong bias toward action, learning, and iteration in emerging tech environments. Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for this position is 229,000 to 400,900 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job DescriptionSchmidt Sciences is a nonprofit organization founded in 2024 by Eric and Wendy Schmidt that works to accelerate scientific knowledge and breakthroughs with the most promising, advanced tools to support a thriving planet. The organization prioritizes research in areas poised for impact including AI and advanced computing, astrophysics, biosciences, climate, and space—as well as supporting researchers in a variety of disciplines through its science systems program. About the AI & Advanced Computing Institute (“AI Institute”) The AI Institute at Schmidt Sciences is a grantmaking and research group that views AI as a transformative force for scientific discovery and societal progress. Over the next decade, we aim to support key researchers who are working to make AI systems competent, trustworthy, reliable, and able to effectively partner with human scientists on the next generation of discovery. We will also make selected distinctive investments in beneficial AI areas where philanthropy has a unique advantage. By supporting enabling infrastructure, foundational research, and targeted programs in science disciplines, the AI and Advanced Computing Institute will create the conditions for AI-enabled discovery to achieve its promise. The AI Institute currently has three focus areas: AI for Science – using AI to improve how scientists generate hypotheses, conduct experiments, analyze data, and produce new knowledge – and do this in a way that specifically accelerates the discovery process. Exploratory programs include post-transistor hardware for AI and AI for scientific simulation. Science of AI – understanding and controlling AI systems to mitigate and manage potential risks from advanced AI. Improve AI reliability and performance in areas of limited commercial interest. Existing programs include AI2050 and Science of Trustworthy AI. Exploratory programs include AI interpretability and evolution of multi-agent communication. Beneficial AI – providing scientific foundations and datasets for understanding the larger human impacts of AI. This includes selected high-impact grantmaking, such as our programs to use AI to accelerate humanities research (Humanities and AI Virtual Institute), and to quantify the impact of AI on the labor market (AI@Work). The Role Reporting to the Director of the AI Institute at Schmidt Sciences, the Senior Program Scientist will provide technical leadership and people management across the AI Institute, as well as contribute to the overall strategy of Schmidt Sciences. This is not a traditional research or industry role; rather, impact in this role is achieved by enabling high-quality academic and industry progress through funding, development of scientific instruments and other supports, convening, ecosystem building, and thought leadership. Success for this role is the ability to position the AI Institute as the premier funder of AI scientific research globally, with a reputation for selecting the hardest technical challenges and using philanthropy to significantly advance solutions to them. In short, the ambition here is to influence the next decade of scientific discovery. Key Responsibilities for this role include the following:Strategic Leadership • Support the Institute lead in the design, evolution, and execution of the AI Institute’s current and future strategic, scientific, and technical direction., • Co-design multi-year research agendas., • Identify areas of AI where early philanthropy entry can provide significant advancement., • Contribute to the overall scientific priorities in the AI and advanced computing portfolio and set future directions for engagementTechnical Evaluation and Program Development, • Provide technical advice to the existing programs and major awards of the AI Institute., • As needed, work with team members to develop new programs. Note: current program explorations include AI interpretability, evolution of communication of multi-agent systems, post-transistor AI hardware, and AI-enabled simulation of scientific processes., • Support existing AI Institute programs by providing networking assistance, scientific expertise, and mentorship, as necessary, and by working closely and collaboratively with the teams responsible for delivery. Contribute to the team’s assessment of expressions of interest and research proposals. Team Management, • Manage 3-5 program scientists and visiting scientists to help them continue to grow their scientific discernment and grantmaking skills., • Contribute to the improvement of the AI team’s operations, including our grantmaking, budgeting, events & convening, and other processes.External Engagement and Ecosystem Building, • Act as a conduit for bringing in innovative ideas and perspectives from the AI community, actively engaging with stakeholders to identify emerging trends and opportunities for collaboration.Schmidt Sciences Support, • Serve as an expert advisor at Schmidt Sciences on topics in AI and advanced computing, with a focus on AI and humanities., • Work with other members of the Schmidt Sciences team to drive organizational priorities and model our values., • Identify potential partners for Schmidt Sciences, including universities, labs, other research facilities, and philanthropic and government organizations., • Participate in relevant industry or academic conferences and events, representing Schmidt Sciences’ presence on AI and advanced computing issues.Required Knowledge, Skills, and Abilities, • Advanced degree (e.g., PhD), from an accredited institution, with a focus on artificial intelligence, • 10+ years of academic and industry experience in artificial intelligence, • Deep understanding of modern machine learning, including deep learning, probabilistic modeling, generative models, reinforcement learning, and large-scale representation learning, • Experience leading teams and managing technical staff, • Hands-on experience designing, training, and evaluating state-of-the-art models (e.g., foundation models, multimodal systems, agentic AI, simulation-based models), • Demonstrated track record of scientific accomplishments, evidenced by peer-reviewed publications, patents, successful grant applications, or contributions to innovative industry projects, • Ability to critically evaluate scientific, technical, and other AI-related claims in grant proposals and other technical opportunities and emerging methods, • Deep relationships in the AI community and experience working with AI-focused institutions, • Experience producing technical writing for expert and general audiences, • Demonstrated ability to collaborate and a record of impact in high-intensity, team-based environments, • Sense of urgency in driving work to completion, • The highest integrity and ability to maintain confidentiality, • Be able to travel within the U.S. and internationally on a regular basis as neededPreferred Knowledge, Skills, and Abilities, • Hands-on AI Experience: Experience building prototypes, benchmarks, or proof-of-concept systems to test scientific hypotheses or assess research investments. Strong fluency in ML engineering tools and best practices (Python, PyTorch/JAX/TF, data pipelines, MLOps, evaluation frameworks). Experience evaluating the scalability, data requirements, compute needs, and infrastructure implications of ambitious AI projects., • Expertise in Specific Focus Areas for the AI Institute, Including: AI model evaluation and red-teaming for scientific reliability, Mechanistic interpretability or auditing methods, Multi-agent systems and emergent behavior, AI-accelerated simulation frameworks, • AI x Science: Familiarity with how AI is used across scientific disciplines (biology, chemistry, physics, climate science, neuroscience, etc.). Expertise in at least one scientific domain where AI is meaningfully accelerating research (e.g., protein structure prediction, generative chemistry, computational biology, materials discovery, climate modeling). Ability to work and translate technical concepts across multiple scientific disciplines

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for Inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do • Opportunity to lead key engineering and product decisions, • Actively shipping production code for the Speechify iOS app, • Work within a dedicated product team, • Participate in product discussions to shape the product roadmap, • Experience. You've worked on products that scaled to a large user base, • Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product, • Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience, • Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction, • Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time, • Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down, • Swift Programming Language, • SwiftUI experience, • Experience in Multithreading Programming, • Working with CI/CD infrastructure, • Experience with Fastlane, • SOLID principles, the ability to write every single class according to SOLID, • A fast-growing environment where you can help shape the company and product, • An entrepreneurial crew that supports risk, intuition, and hustle, • The opportunity to make a big impact in a transformative industry, • A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture, • Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives, • Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job DescriptionApplication Engineer – Cryogenic Wiring & Quantum Measurement Infrastructure Bluefors is seeking an Application Engineer who thrives on building and troubleshooting complex scientific instruments while working closely with researchers. In this role, you’ll serve as a trusted technical partner to scientists and engineers in fields such as quantum materials, superconducting devices, cryogenic physics, precision transport, scanning probe systems, and advanced microscopy. You’ll engage directly with customers to understand their experimental goals, identify system-level challenges, and translate those needs into practical wiring and infrastructure solutions aligned with Bluefors’ capabilities. This position is ideal for someone who enjoys hands-on scientific dialogue and lab environments—whether your background is in experimental physics, apparatus development, system integration, or a customer-facing technical role. Experience with cryogenic experiments, vacuum or high-field systems, RF or photonics setups, or complex hardware integration is valuable. Above all, success in this role depends on strong communication skills, technical intuition, and a genuine commitment to helping customers design and implement effective, cutting-edge experimental solutions. This role is expected to become available in the future as we continue to grow. If this opportunity aligns with your interests and background, we encourage you to apply through our general application channel so we can consider you for this and other upcoming positions. The base salary range for this role varies by geographic location and level of experience Final compensation will be determined based on experience, skills, and other job-related factors. * Chicago, IL: $110,000 – $130,000 * Brooklyn, NY: $125,000 – $145,000 Main responsibilities: * Work directly with customers to understand their measurement goals and translate them into wiring and infrastructure solutions * Serve as a technical point of contact — asking the right questions, clarifying requirements, and guiding decision-making * Support the system-level design of cryogenic wiring, signal chains, and experimental interconnects * Collaborate with Sales, Engineering, and Research teams to develop proposals and system configurations * Visit customer labs, participate in technical discussions, and help optimize real setups in the field * Document customer needs, provide clear communication throughout projects, and ensure smooth execution * Travel to customer sites, conferences, and partner locations as needed * Additional duties as required What we expect from you * BS, MS, or PhD in physics, electrical engineering, or related field * 1–3 years of relevant experience in industry, research, or advanced laboratory environments * Experience with advanced experimental setups (cryogenics, * RF/microwave, vacuum systems, high-field environments, or precision instrumentation) * Strong customer-facing communication skills — you enjoy collaborating, asking questions, and explaining complex ideas clearly * Ability to translate experimental requirements into actionable engineering solutions * Proactive, reliable, and comfortable working across teams * Excellent command of English, written and spoken We also appreciate * Experience with dilution refrigerators, cryogenic measurements, or quantum device platforms * Understanding of wiring design (attenuation, filtering, thermal anchoring, mechanical integration) * Familiarity with high-density cryogenic connectors, optical links, or specialized feedthroughs * Ability to work effectively with both researchers and engineers to solve practical hardware challenges * Passion for advancing next-generation measurement infrastructure Employee Benefits Bluefors offers a generous benefits package including health, dental, vision, 401K, training, vacation and Paid Time Off (PTO). Physical Demands The employee may be required to sit, stand, walk, and use hands to handle or operate objects or equipment. Occasional bending, stooping, or reaching may be required. The ability to communicate effectively and maintain visual attention to tasks is necessary. The role may require lifting and/or moving items up to 10 pounds regularly, up to 25 pounds occasionally, and up to 50 pounds in certain work environments. Work Environment This position operates in a professional environment that may include office, laboratory, or operational settings. The role involves regular interaction with internal and external stakeholders and the use of standard office and technical equipment. In certain work areas, employees may be exposed to typical operational conditions such as moving equipment, moderate noise, or varying environmental conditions. Personal protective equipment (PPE) may be required where applicable. Please apply as soon as possible through BLUEFORS.COM. Applications are reviewed continuously, and the position will be filled once we find the right candidate. For more information, please contact Russell Lake, Director, Quantum & Measurement and Measurement Infrastructure. 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.

Job Description Why You Should Join the E3 TeamWhen you join the E3 team, you will be working on some of the most important energy issues with some of the top minds in the electricity industry. We help shape energy and climate policy, play vital roles in regulatory proceedings, advise executives, and inform investment and planning selections. At E3, you will be challenged and inspired. Who We AreFounded in 1989, Energy + Environmental Economics (E3) is a fast-growing energy consulting firm that helps utilities, regulators, policy makers, developers, and investors make the most educated strategic decisions possible as they implement new public policies, deploy and develop new technologies, and address customers’ shifting expectations. We have offices in San Francisco, New York City, Boston, Denver, and Calgary. Because E3 works with customers from all sectors of the electricity industry, we provide a 360-degree knowledge of markets, planning, policy, regulation, and environmental factors. Just as important, we are driven to deliver clear, unbiased evaluations that help customers make informed decisions. E3 works on high-profile, high-impact projects in jurisdictions that spearhead the implementation of clean energy policy. About YouWe look for people who combine strong analytical dexterity and/or policy experience with integrity and a passion for energy. Our Managing Consultants take the reins on project work to drive creative solutions to some of the most elaborate and important energy issues of the day. You bring curiosity, thrive in a rigorous and quantitative solution-finding environment, take a collaborative approach to project work, are comfortable coaching and providing feedback to others, and are practiced at working closely with clients and stakeholders. We seek those that are inquisitive and look at all sides of an issue to make informed recommendations with confidence and clarity. You pride yourself in your technical aptitude and deep subject matter expertise related to at least one our general practice areas. You bring a strong attention to detail and your project management and leadership techniques help you independently create and actualize work plans that are efficient while delivering an elevated level of guidance to serve our customers. Practice AreaWe are highly collaborative, but everyone is encouraged to pursue their own practice areas of interest. At E3, our broadly defined Practice Areas include: - Climate Pathways and Electrification- Asset Valuation, Transmission, and Markets- Integrated System Planning About the Role· Hours: Full Time · Travel: 0-10% · Office Location: San Francisco, CA Work EnvironmentE3 has adopted a hybrid and flexible work environment that adapts to changing needs of projects and safety requirements. Because E3 thrives in a strong collaborative office-based working environment, we encourage our E3 employees to work from the office at least 2-3 days per week, usually on Tuesdays and Thursdays. Must be able to work for extended hours in front of a computer screen and conduct meetings on the telephone and virtually. The RoleThe Managing Consultant is a vital contributor to our team and project work. The position spearheads client-facing interactions and plays a leadership role in identifying the approach and methods for medium-to-large projects. Our Managing Consultants direct workstreams within projects and contribute heavily to written reports and papers. Our Managing Consultants regularly deliver findings and summaries to customers, making presentations and replying to questions. Duties will grow to include more elaborate investigative tasks, overseeing the management of existing tools, and leading efforts on proposal writing. Responsibilities • Lead the delivery of customer work through modeling, developing presentations, writing, and preparing entire subsections of reports and papers, and owning customer requests, • Conduct independent research using your ingenuity and curiosity to make reasonable assumptions and produce appropriate solutions, at times with incomplete information fulfill end-to-end project obligations, • Deliver presentations to customers and reply to questions, • Develop aptitude in using a flagship modeling tool, gathering relevant data, and vetting results, • Oversee or assist in management of existing tools as needed, • Oversee or implement major revisions to toolkits, • Apply core QA/QC best practices, • Lead proposal writing on small/medium projects, • Translate results of research and evaluations into clear visual representations, • Head the creation or editing of spreadsheets to be "client-ready,” including developing tools for customer solutions, • Proactively track actual performance of own work performed against the established plan, with ongoing communication with the Director or Manager, • Track and manage actual performance of project teams against the established plan, with ongoing communication to project team members, • Capture project learnings and repeatable products and work samples for future use according to knowledge management processes, • Assist with internal initiatives as needed Requirements, • Master’s degree or PhD in engineering, economics, computer science, public policy, or related field, • 4-8 years of experience in an energy-related field with a specific focus on the power electric sector, • Prior experience specifically addressing power generation, renewable energy, project economics, and the clean energy transition, • Demonstrated hands-on experience or extensive knowledge in, or related to our practice areas, • Extensive project management experience leading collaborative project efforts while helping each member of your team to do their finest work, • Experience crafting a clear and compelling message both in writing and via presentations, • Demonstrated experience working directly with stakeholders or customers, • Aptitude to write and communicate clearlyPassionate about the transition to a low-carbon economy, • Demonstrated success guiding ideas, people, and projects, • High fluency in Microsoft Excel and PowerPoint; quantitative modeling methods and/or programming knowledge and experience are also valued, • Experience with electricity or energy modeling platforms preferred, examples include AURORA, PLEXOS, ReEDS, LEAP, NEMS, • Desire to work in a dynamic office environment with other staffThings that Set you Apart, • Deep subject matter expertise specifically in energy, power systems, and climate change issues, • Significant project management and leadership experience in a technical or analytical environment, • Extensive experience coordinating with customers on a regular basis, • You believe it is essential to achieve a transition to a low-carbon economy and love thinking about the future of energy, • You work collaboratively and help each member of your team to do their finest work, aware that each brings different experiences, techniques, and qualifications to the table, • You enjoy translating technical concepts to a broader audience, • You take ownership of your work, proactively seeking out answers to questions and enjoy finding creative solutions to issues you encounter

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 Human Resources Business Partner (HRBP), you will be responsible for the "employee lifecycle" beyond the initial hire. You will reporting directly to the Head of People, and handle the day-to-day "boots on the ground" HR needs of a best-of-class, high-growth hardtech company. Key Responsibility Areas: • Employee Relations & Culture: Lead the charge in maintaining a high-performance, inclusive culture. Manage complex employee relations, conduct investigations when necessary, and provide conflict resolution coaching., • Performance Management: In partnership with Thea Energy’s VP - People and management team, refine and execute the Company’s performance review cycle, including goal setting, continuous feedback loops, and promotion calibrations., • Learning & Development: Identify skills gaps within the employees and leadership; create and deliver training programs that foster professional growth., • Total Rewards & Compensation: Partner with the VP - People on compensation benchmarking, benefits administration, and equity education to ensure we remain competitive in the deep-tech market., • HR Operations & Compliance: Maintain and enhance data integrity, manage compliance (labor laws, safety/OSHA standards for the lab), and help to refine internal HR policies and handbooks., • Employee Engagement: Execute internal engagement initiatives (team building, pulse surveys) that keep our team aligned and motivated., • DEI: Serve as a strategic DEI consultant to business leaders, auditing talent lifecycles to eliminate bias and implementing data-driven inclusion initiatives that measurably improve workforce representation and employee belonging.Ideal Experience & Skillsets:, • 3+ years as a HRBP within a high-growth startup, engineering, or manufacturing environment., • Strong knowledge of state and federal labor laws including OSHSA., • HR Experience in a manufacturing, lab, or other hardtech environment is a significant plus., • Experience coaching mangers on employee relations issues., • Learning and Development experience in creating and delivering training., • Experience with modern HRIS platforms and a data-driven approach to HR metrics., • Exceptional emotional intelligence and the ability to communicate effectively with everyone from PhD physicists to lab technicians., • A "builder" mentality - you enjoy creating processes from scratch and are comfortable with the ambiguity of a fast-moving startup., • Experience with Microsoft Office (Word, Excel, PowerPoint)., • Experience with SharePoint and Slack is a plus., • Experience with JustWorks is a plus., • Bachelor’s degree or higher is required.Company Benefits:, • Salary range $80K - $140K depending on experience, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job DescriptionCompany Description AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok. Job Description Join an inclusive, collaborative Business Technology team as a Principal Cloud Architect in AbbVie BTS. In this role, you will serve as a technical visionary, shaping enterprise cloud strategy and driving innovation in a global, highly regulated environment. You’ll lead the design and implementation of cloud-native architectures—primarily on AWS—while ensuring alignment with business objectives. Partnering with multidisciplinary teams and specialized architects in Security, Data, Network, Application, and UX, you will integrate cloud solutions across Enterprise Architecture to enhance product delivery and accelerate adoption of modern platforms. In this role you’ll be responsible for: * Define, drive, and continually refine the enterprise cloud architecture strategy, ensuring alignment with organizational vision, business objectives, and compliance standards (i.e., GxP). * Lead the architecture, design, and hands-on implementation of secure, resilient, and scalable AWS-centered solutions, leveraging strategic use of services such as EC2, S3, ECS, EKS, Lambda, Aurora, DynamoDB, RDS, and EventBridge. * Develop, evaluate, and endorse architectural diagrams and comprehensive documentation for cloud solutions, ensuring alignment with best practices and collaboration across technical and business stakeholders. * Oversee design and automation of cloud infrastructure using Infrastructure as Code (CloudFormation, AWS CDK, Terraform, Pulumi, Ansible), fostering reliable, repeatable cloud deployments at scale. * Lead the strategic architecture for multicloud and hybrid data platforms—primarily AWS (Glue, Athena, Redshift) and Azure Data Lake—defining standards, governance, and engineering patterns for regulated analytics pipelines and enterprise data lakes leveraging technologies such as Spark, Databricks Lakehouse, and cloudnative services. * Drive DevOps & automation excellence: design, implement, and govern robust CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, CircleCI, Azure DevOps, AWS CodePipeline/CodeBuild), ensuring efficient application delivery and automated infrastructure management. * Champion the AWS Well-Architected Framework by embedding its pillars (operational excellence, security, reliability, performance efficiency, cost optimization) into enterprise practice and conducting regular reviews for continuous improvement. * Lead the strategic architecture for containerized (EKS, ECS, Fargate) and serverless (Lambda, Step Functions, EventBridge) platforms, setting direction, standards, and decision frameworks that enable scalable and costefficient microservices, batch, and eventdriven systems. * Ensure robust security and compliance within all cloud implementations, including access controls (IAM), data encryption, management of validated environments, and close collaboration with compliance and audit teams. * Architect solutions for modernization and migration of on-premises applications, data, and infrastructure to scalable, secure, and cost-effective cloud-native solutions, leveraging automation, best practices, and compliance standards throughout the process. * Set the strategic direction for cloud guardrails—spanning landing zones, account and network patterns, IAM boundaries, encryption, logging, tagging, and policyascode—to ensure enterprisealigned risk, security, and compliance across AWS and Azure. * Serve as a technical authority and mentor—influencing stakeholders, guiding engineers, and reviewing designs to raise the overall architecture bar. * Architect observability solutions with best practices from the industry * Use AI/MCP-enabled capabilities to quickly validate cloud designs, enable guided best-practice workflows with auditability, and enhance infrastructure management through ergonomic, automated actions. * Oversee cloud cost management by monitoring and optimizing cloud service expenses and implementing tagging and financial governance across multi-cloud environments. * Guide operational leadership through incident and problem management, continuous infrastructure reliability improvement, and engagement with application teams on innovative proof-of-concept pilots (AI and cloud advancements). * Present and communicate cloud architecture strategies, roadmaps, and solutions effectively to both senior leaders and peer architects, fostering organization-wide architectural alignment. * Build and maintain strategic relationships with affiliates, partners, vendors, and the broader industry to advance technology initiatives in alignment with corporate values. Qualifications Required: • Bachelor's Degree with 9 years’ experience; Master's Degree with 8 years’ experience; PhD with 4 years’ experience. AWS Core: EC2, VPC, S3, ECS, EKS, RDS, Lambda, DynamoDB, EventBridge, CloudWatch * Multi-cloud & Data: Azure, Azure Data Lake, Databricks, Athena, Redshift * IaC: CloudFormation, AWS CDK, Terraform, Ansible * DevOps/Automation: Jenkins, GitHub, Azure DevOps, AWS CodePipeline/CodeBuild, Git, PowerShell, Python, Bash * Security & Compliance: IAM, encryption standards, compliance with GxP, 21 CFR Part 11, HIPAA, GDPR * Networking: VPC, subnetting, VPN, Direct Connect, routing, load balancing * Monitoring: AWS CloudWatch, Datadog, New Relic * Communication & Leadership: Excellent verbal/written communication to technical and non-technical audiences; ability to foster cross-functional collaboration and document/present technical solutions Preferred: * Cloud Architecture – 9+ years of experience in designing and supporting multi-cloud infrastructures, focusing primarily on AWS (required) and Google Cloud (GCP) & Azure (optional) (Candidates with a master’s degree must have 8+ years, PhD must have 5+ years). Industry experience is a plus. * AWS Environment – Demonstrated expertise in deploying, managing, and optimizing large-scale AWS environments for performance, scalability, and resilience, while applying AWS Well-Architected Framework principles to ensure security, reliability, cost efficiency, and operational excellence. * CI/CD Pipelines – Proven track record in architecting and managing robust CI/CD pipelines using AWS technologies to drive software development efficiency and speed. * Certifications – Holds AWS Certified Solutions Architect (Professional), AWS Certified DevOps Engineer, and AWS Certified Cloud Practitioner certifications. Security credentials like CISSP or CCSP are advantageous. * AWS Services Expertise – Strong knowledge of AWS core services (EC2, VPC, S3, RDS) combined with advanced skills in AWS Lambda, DynamoDB, ECS, EKS, and Fargate for developing scalable, serverless, and containerized applications. * Infrastructure as Code & Automation – Advanced use of CloudFormation and Terraform for IaC; proficient with automation tools such as Jenkins, Ansible, Git, and scripting with Python, Bash, and PowerShell to drive strategic cloud optimization. * Service Delivery – Demonstrate proficiency in using agile tools such as Jira to manage and deliver product-based cloud solution releases efficiently. * Security & Compliance – In-depth knowledge of cloud networking, IAM, security protocols, and compliance standards to deliver secure and efficient cloud environments. * Monitoring & Governance – Experience with AWS management and governance tools, alongside monitoring solutions like AWS CloudWatch and other third-party options enhanced by utilizing security tools like Wizio. * High Availability & Resilience – Expertise in architecting high availability and disaster recovery solutions on AWS, ensuring business continuity and operational resilience. * Communication & Leadership – Ability to convey complex technical concepts to diverse audiences, from business to technical stakeholders, fostering collaboration and alignment. * Innovation – Strong command of integrating emerging AWS technologies to stay at the forefront of cloud innovation and maintain a competitive advantage. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: * The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this postingbased on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately paymore or less than the posted range. This range may be modified in the future. * We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. * This job is eligible to participate in our short-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission,incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and untilpaid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Job Description Basic Qualifications: • Knowledge of different compilation steps (and ability to fix) in languages such as Go, C, C++, or Java., • Excellent communication skills and the ability to collaborate effectively with cross-functional teams, • Ability to mentor and grow a group of other Software Engineers, • Ability to lead projects with several cross-org dependencies and design complexities, • Large-scale training using data structures and algorithms, • Modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning) Preferred Qualifications • PhD or equivalent in Computer Science, Engineering, Mathematics or related field, • 8+ years of experience in professional software development experience, developing and deploying systems in production environments, • Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib, • Excellent communication skills and the ability to collaborate effectively with cross-functional teams, • Ability to mentor and grow a group of other Software Engineers, • Anomaly Detection Techniques, • Deep Learning, • Scalable ML architecture, • Feature management, • Causal ML, • Reinforcement learning Anticipated base 250-280k + bonus + equity and comprehensive benefits

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

Job Description Quantitative Researcher — High Frequency Equities (US Markets, New York) Location: New York, HK, China Responsibilities • Analyze diverse datasets across US equity and futures markets to identify quantifiable trading edges and discover actionable alpha signals in high‑ and mid‑frequency domains., • Conduct end‑to‑end research including alpha factor mining, feature engineering, model construction, backtesting, and strategy optimization with realistic transaction cost and execution modeling., • Design and run robust backtests, walk‑forward validation, and stress tests to ensure signal stability and economic significance., • Collaborate with execution, engineering, and risk teams to translate research into production‑ready strategies and support live deployment/monitoring., • Bachelor's, Master's, or PhD in Statistics, Physics, Computer Science, Mathematics, or another quantitative field., • Proven hands‑on experience with high‑frequency US equity trading (experience with tick‑level data, microstructure, order book dynamics, and execution constraints is required)., • Proficiency in at least one programming language: Python (preferred), C++, C#, MATLAB, or R., • Strong data engineering and numerical skills for handling large tick‑level datasets and building scalable backtesting pipelines., • Ability to read and synthesize academic/technical English literature and rapidly learn new technical domains., • Competition awards (e.g., IMO/IPhO/ACM‑ICPC) or strong contest performance., • Publications in top‑tier peer‑reviewed journals or conferences., • Experience with low‑latency systems, co‑location, market data feeds, and execution optimization techniques., • Please submit your CV and a brief summary of relevant HF experience, including the markets/data you worked with, example signals or strategies developed, and any performance/production outcomes.

Job DescriptionAbout Voyant: Voyant Photonics, based in the heart of New York City, is transforming machine perception with a new class of LiDAR devices that are compact enough to fit in the palm of your hand and powerful enough to measure range, velocity, and reflectivity with unparalleled accuracy. By leveraging cutting-edge silicon photonic chips smaller than your fingertip, we deliver sensors that are not only revolutionary in performance but also affordable enough to integrate into any system. Our technology disrupts the status quo of bulky, expensive, and power-hungry LiDAR systems, making high-precision sensing accessible for widespread adoption in robotics, autonomous vehicles, drones, industrial automation, and beyond. With Voyant, the next generation of machines can see, understand, and navigate the world like never before. Discover how we’re redefining what’s possible by making real products out of cutting-edge research in silicon photonics. Position Overview: We are seeking a highly motivated and self-driven Photonics Test Engineer to take ownership of test development and operations for our cutting-edge silicon photonics FMCW LiDAR technology. This is a hands-on role where you will develop and execute advanced test methodologies, ensure rigorous validation of our photonics devices, and work closely with a multidisciplinary engineering team. You will set a high standard for test execution, troubleshooting, and process improvements, leading by example through direct contributions and technical expertise. Key Responsibilities: * Develop and execute design verification tests, analyze results, and provide feedback to improve device performance. * Define and implement both die-level and wafer-level test solutions in collaboration with design, product, and packaging teams. * Develop production test solutions for silicon photonics components to ensure manufacturability and scalability. * Optimize and standardize test and analysis methodologies to improve repeatability and accuracy. * Bring up, manage, and operate automated wafer-level test (WLT) probers for silicon photonics devices. * Perform routine setup calibrations and ensure quality control in test processes. * Identify and mitigate test challenges, ensuring the execution of large-scale technical projects in a timely and efficient manner. Qualifications: * Education: Bachelor's, Master’s, or PhD in Electrical Engineering, Photonics, Optics, Physics, or a related field. * Experience: Minimum 2 years of hands-on lab experience testing silicon photonics devices or related photonics/optics components. * Technical Expertise: * Strong understanding of optical integrated circuit (PIC) design, testing, and its impact on product yield and performance. * Hands-on experience with optical test and measurement equipment (e.g., optical spectrum analyzers, power meters, interferometers, high-speed photodetectors) and optomechanical alignment tools. * Proficiency in Python for test automation, data analysis, and instrument control. * Knowledge of automated wafer-level testing (WLT) and test methodologies for silicon photonics. Practical experience in WLT is highly preferred. * Experience with fiber alignment automation or active alignment techniques. * Problem-Solving: Strong analytical and troubleshooting skills, with the ability to resolve complex system issues and propose corrective actions. * Communication & Collaboration: * Strong verbal and written communication skills to effectively convey complex test results, analysis, and technical insights. * Ability to work cross-functionally with design, manufacturing, and packaging teams. * Work Ethic & Adaptability: * Highly self-motivated and capable of managing multiple tasks with attention to detail. * Comfortable working in a fast-paced environment with evolving technical challenges. Benefits Package: * Competitive base salary and meaningful equity package. * Comprehensive health benefits (Medical, Dental, Vision). * Unlimited PTO and paid company holidays. * Team events and company meetups. * Complimentary lunch provided daily at our NYC office Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law.

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The OpportunityAs a Computational Materials Scientist, you will be engaging in critical simulations and modeling for materials discovery, development, and characterization. Your expertise with ab-initio calculations, DFT, and other forms of computational and theory-based modeling will be crucial to our AI-driven discovery process. You will work with leading AI scientists who depend on you to assist in data aggregation, data generation, materials simulation and model development. You will draw on a robust background in computational chemistry, software development, and machine learning. You will be responsible for running AI-enabled computational workflows for materials discovery, serving as a critical resource to the ML and materials research teams.About you • PhD degree in Chemistry, Materials Science, Computational Chemistry, Chemical Engineering, or another related subject., • Strong research experience (e.g., evidenced by publication record), including experience in computational modeling, utilizing ab-initio methods, and coarse-graining potentials for multiscale simulations of atomistic systems., • Understanding of the fundamental mechanics of metals and how to model them computationally., • Experience running high-throughput DFT., • Experience with interatomic potentials., • Chemistry software development experience (preferably public on e.g. GitHub, please share links to high impact pull request)., • Experience coding in Python or other similar languages.Pluses, • Running high-throughput DFT workflows at the order of 5,000+ concurrent jobs., • Prior experience in transitioning AI + computational research into production environments., • Experience with additional ICME approaches (e.g., mechanistic structure-property modeling, Phase Field, CALPHAD, Atomistics, Molecular statics/dynamics, etc.)., • Experience with FEM software tools (e.g., ANSYS, ABAQUS, MOOSE, PRISMS). Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Description Quant Developer/Market Maker The Company - Our client is a small trading shop, whose founders have an extremely successful track records in all prior ventures in high Frequency trading. The core consists of small group of educated PhD scientists who came together to build trading models in multiple asset classes over the last decade. They were first challenged to finding non-random behavior in data sets as they tackled the FX market with new algorithmic trading and quickly separated themselves from everyone else in the market. That company was bought by a world leader in capital markets, and they moved into equities, and were successful as a prop trading shop for over 6 years, and was eventually bought as well. They are now onto their next venture they are looking to tackle the cryptocurrency market. As a trusted asset to every large financial trading desk through the years, institutions have expressed great interest in trading with them, and the firm provides crypto asset execution, trading, and advisory services to institutional clients, as well as making markets on various exchanges, as well as providing customized algorithms to split up trades. They are looking for a Quant Developer (Quant/Market maker) to join this team, and head up building the market making product. This person does not need crypto experience, but needs to understand the technical backbone of market making systems, market microstructure and the technical needs for setting up and monitoring strategies. All systems are built from scratch and brand new. The competitive advantage is the model and brilliant combination of quantitative minds. They build their systems to be smarter, highly risk averse, rigorously tested and with a strict scientific approach to modeling. The Role – Starting as an Senior Quant Developer/Market Maker you will get a chance to get in on the ground floor in a low key environment and let data drive your decisions. This opportunity is for a top notch engineer with strong quantitative skills, to take a pragmatic approach and enjoy the flexibility of building something, in an environment where there is no red tape, or barriers to your creativity. It is a great opportunity for a Quant who wants to leverage technical/math skills to learn more about, and get into trading. Ideas for strategies are encouraged, and team will help you test and implement them. This is an opportunity for you to work with elite minds as well as trade ideas, grow in knowledge and gain exponential earnings potential. The overall climate is for everyone to make money and go home satisfied. Flexible hours and telecommuting is offered. Qualifications ¬ Experience working with high performance trading systems, specifically market making systems. ¬ FX is preferred over equity, because it translates better to the crypto-market. ¬ Strong Java/C# Programming ¬ Ability to develop systematic models from a mathematical approach ¬ Strong Math/Quantitative Skills and experience with Large Data Sets ¬ Top Tier Education – Masters or PhD (Math, Science, Computer Science, Engineering, Computational Finance) Skills and abilities you will be finely rewarded, compensation greatly depends on experience, equity and salary will be based on value.

Job DescriptionCompany Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube. Job Description As Data Science and AI Lead overseeing Platform, Governance, and Delivery for Data Science and AI solutions at AbbVie, you will lead a diverse team of data scientists responsible for designing, executing, and scaling data science solutions across the enterprise. Reporting into Operations Business Insights (OBI), you will establish and execute the vision and roadmap for a robust, agile, and compliant data science platform, ensuring strong governance practices and operational excellence in delivering impactful data science to drive innovation, performance, and agility company wide. Leading a multifaceted team, you will have end-to-end accountability for platform strategy, stakeholder engagement, project delivery, and talent development. You will be expected to set the standard for technical and consulting excellence, foster a culture of continuous learning, and promote effective collaboration within and outside your group, including functional data scientists, business partners, academic collaborators, and technology leaders. Key Responsibilities: • Provide leadership in developing, maintaining, and governing the data science platform to enable secure, scalable, and compliant analytics throughout AbbVie’s global operations, spanning Supply Chain, Quality, Procurement, Manufacturing, and Science & Technology., • Oversee the delivery lifecycle from requirements discovery, solution design, and modeling through deployment and monitoring of productionized data science applications, studies, and proofs of concept by leading teams of diverse data scientists and analysts., • Lead and champion best practices in data governance, stewardship, and quality, ensuring compliance with regulatory and organizational standards (e.g., GxP, master data management, data lineage, model validation, etc.)., • Push forward with semantic engineering and agentic engineering, best practices and capability delivery to support more advanced AI use cases. Oversee architects involved in semantic and agentic engineering and solutioning., • Develop and promote advanced analytics capability, including supervised/unsupervised machine learning, deep learning, AI/ML platform services, and the enablement of novel AI applications such as RAG and semantic layering for human-in-the-loop systems., • Foster strategic partnerships with senior functional leaders, technology stakeholders, and external collaborators to accelerate the transfer of advanced methods into high-value business solutions., • Collaborate on group strategy and roadmap, enable cross-functional GenAI initiatives, and serve as a thought leader for education, awareness, and innovation in enterprise data science., • Ensure robust consulting, communication, and change management plans are in place to drive adoption of data science solutions at all organizational levels, including executive leadership. Required: • Bachelor's Degree with 9 years’ experience; Master's Degree with 8 years’ experience; PhD with 4 years’ experience., • Significant experience leading multi-disciplinary teams delivering enterprise-scale data science platforms and applications, preferably in regulated industries such as pharmaceuticals, life sciences, or healthcare operations., • Deep expertise in data science methods (ML, AI, statistics), modern data engineering (cloud, big data, pipeline orchestration), and business analytics, with mastery of tools such as Python, R, Dataiku, AWS SageMaker, Spark, Tableau, etc., • Demonstrated ability to define and execute governance frameworks for data quality, master data, model lifecycle management, and regulatory compliance., • Extensive consulting and stakeholder management experience, including effective communication of complex technical solutions to executive audiences and cross-functional business partners., • Proven ability to drive innovation (strategy, whitepapers, roadmaps), develop cross-functional partnerships, and lead technology transfer initiatives to embed analytics into core business processes., • Experience mentoring and growing diverse teams, with a focus on inclusion, equity, and continuous learning., • Experience delivering data science solutions in industry (non-academic settings strongly preferred), with demonstrated progression in leadership roles., • Experience with data-driven transformation in Quality, Supply Chain, Procurement, or Central Operations within a large pharmaceutical or life sciences organization, and deep understanding of GxP practices., • Background in technology innovation, MLOps, platform architecture, or boutique/strategy consulting with measurable stakeholder impact. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: * The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this postingbased on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more orless than the posted range. This range may be modified in the future. * We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. * This job is eligible to participate in our short-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission,incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paidand may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Job DescriptionAbout CookUnity: Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. About the Role We're hiring for an experienced ML-focused Data Scientist to own growth-oriented modeling across the customer lifecycle - acquisition, activation, retention, resurrection and monetization. You'll work alongside other data scientist to design, validate, and productionize statistical and ML systems (pLTV, churn/survival, uplift/incrementality, lookalikes, clustering/embeddings, NBA/ranking) that directly drive growth. This is a hands-on role for someone with strong mathematical/statistical foundations, broad modeling experience, and pragmatic MLOps chops who can lead experiments and partner closely with Marketing, Engineering, CRM, and Product. What you'll do… • Lifecycle modeling: Build and maintain predictive LTV, churn (including survival/time-to-event), order-rate, and resurrection models that feed acquisition, CRM, and retention strategies., • Acquisition & lookalikes: Create lookalike / propensity models for paid channels and audience construction; optimize CAC vs LTV tradeoffs., • Next-Best-Action & personalization: Develop NBA/ranking models, small-scale recommenders and embedding-based similarity systems to increase activation and orders., • Unsupervised & representation learning: Lead segmentation, clustering, embeddings and representation work that create actionable cohorts and features., • Production & MLOps: Own the full model lifecycle - training pipelines, CI/CD, model registries, containerized deployment, monitoring, retraining and drift detection; partner with engineers to operationalize models into CRM, marketplace and paid channels., • Model governance & reproducibility: Ensure models are well-tested, explainable, calibrated, and auditable; document assumptions, limitations and business mappings., • Cross-functional influence: Translate technical work into product recommendations, dashboards and clear narratives for Growth, Marketing and Engineering. Mentor peers and raise modeling and MLOps standards.Required qualifications, • 5-8+ years in data science, applied ML or statistics, with a track record of shipping production models., • Strong math & statistics: probability, inference, regression, survival analysis/time-to-event, causal reasoning, and familiarity with statistical modeling tradeoffs., • End-to-end ML experience: experience building, validating and deploying classification/regression/ensemble/deep models; comfort with embeddings and representation learning., • MLOps & production skills: pragmatic experience with model CI/CD, model registries (MLFlow or similar), containerization (Docker), orchestration (Airflow), and runtime infra (K8s / ECS)., • Software engineering & tooling: Python (pandas, scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow optional), strong code hygiene, testing and reproducibility., • Product & stakeholder collaboration: excellent communication, ability to embed with Growth/CRM/Marketing and translate models into product decisions., • Education: BS in a quantitative field required; MS/PhD in statistics, math, CS, economics or similar preferred.Nice-to-haves, • Experience in subscription marketplaces, food-tech, or consumer marketplaces., • Familiarity with feature stores, Snowflake/BigQuery, and production monitoring tools., • Experience with causal libraries (EconML), uplift frameworks, or survival modeling packages., • Prior work on small-scale recommender systems, embeddings, or NLP personalization. Learn More About CookUnity We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we're looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale. We hope this provides valuable insight into our culture and product vision. If this excites you, we'd love to connect! Benefits 🩺 Health Insurance coverage 🌅 401k Plan ⛱ Unlimited PTO 🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical 🐣 Paid Family leave 🕯 Compassionate Leave: 3-5 days each time the need arises 🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly 🧘🏽️‍♀️ Wellness perks: access to a nutritional coach and fitness subsidies to build a healthy lifestyle 👩🏾️‍🏫 Personalized Spanish coach 🌟 Awesome opportunity to join a company that is looking to change how we eat and how chefs work! Compensation All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.Pay Range for this position$160,000—$185,000 USD If you're interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability. A quick note for all candidates We've recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously — sometimes, as part of our process, we may ask for a brief "proof of humanity" to confirm that we're connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us: • Apply only through our official channels. All open roles are listed on our official careers page: careers.cookunity.com, • Our recruiters are real people — and easy to verify. You can always find them on LinkedIn with verified profiles. If you're unsure, feel free to reach out to us on our official LinkedIn Company Page., • We only communicate through official CookUnity channels. That means emails ending in @cookunity.com and interviews held through official company platforms (Google Meet or Zoom) — never WhatsApp, Telegram, or SMS.

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