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As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. As a Research Scientist III on this team you will have the opportunity to spearhead a brand new initiative that will design and create hiring experiences. We're seeking a scientific leader with expertise in survey methodologies, psychometrics, experimental design, and advanced statistical analysis. You'll work with state-of-the-art research tools, leveraging AI and machine learning algorithms to solve complex challenges in survey methodology and data analysis. You should be comfortable identifying and framing new research challenges that require scientific advances at the product level. You'll work closely with senior technical leaders within the team to deliver research-driven insights and solutions. Key job responsibilities • Apply your expertise in psychometrics to ensure the validity and reliability of our measurement instruments, • Utilize advanced statistical techniques to analyze complex datasets, analyze open text feedback, uncover meaningful patterns, and derive actionable insights., • Design and conduct experiments to test new measurement methods and improve the precision of our customer experience metrics, • Explore emerging technologies and innovative methodologies to enhance experience measurement while maintaining Amazon's commitment to scientific integrity, • Translate complex research findings into compelling, actionable strategies and influence technical and business decisions at the product level, • Write impactful documents that distill intricate scientific concepts into clear, persuasive communications for diverse audiences, including senior business leaders, • Actively mentor and develop other scientists while playing an active role in the scientific community About the team Amazon Connect is a highly disruptive cloud-based contact center that enables businesses to deliver engaging, dynamic, and personal customer service experiences. Amazon Connect is the result of the ten years of development that went into building the tools Amazon uses to provide its award winning customer service at massive scale and launching it as a publicly available AWS service. With Amazon Connect, you can create your own cloud-based contact center and be taking calls in minutes. Amazon Connect leverages the power of Artificial Intelligence and the large ecosystem of AWS services such as Amazon Lex, Amazon Polly, AWS Lambda, Amazon S3 and Amazon Kinesis to provide a truly frustration free, easy-to-use, extensible, and natural customer experience. With this technology, we are transforming an industry and the way customers interact with businesses and how agents service them. AWS Solutions As part of the AWS solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. we blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. • PhD, • 3+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience, • Experience communicating qualitative research methods and findings to non-qualitative researchers, • Experience investigating the feasibility of applying scientific principles and concepts to business problems and products, • Knowledge of a scripting language (Python, R, etc.), • Experience contributing to the creation and implementation of high-quality, high-volume recruiting plans, • PhD in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field, • Experience converting research studies into tangible real-world changes, • Experience with AI/ML technologies, • Experience in practical work applying ML to solve complex problems for large scale applications, • Experience with enterprise IT application work that includes software development or DevOps engineering, • Experience collaborating with UX, Product, and technical partners, • Publication record in top-tier IO Psych, Organizational Behavior, Management, or AI/ML conferences/journals Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ___ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ___. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Job Description ABOUT THE NEW YORK ACADEMY OF SCIENCES The New York of Academy of Sciences is an independent, not-for-profit organization that since 1817 has been committed to advancing science for the benefit of society. With more than 20,000 Members in 100 countries, the Academy advances scientific and technical knowledge, addresses global challenges with science-based solutions, and sponsors a wide variety of educational initiatives at all levels for STEM and STEM related fields. The Academy hosts programs and publishes content in the life and physical sciences, the social sciences, nutrition, artificial intelligence, computer science, and sustainability. The Academy also provides professional and educational resources for researchers across all phases of their careers. Please visit us online at JOB TITLE: Program Manager, Physical Sciences DEPARTMENT: Awards REPORTS TO: Associate Director, Awards SUMMARY: The Program Manager will be responsible for various activities in support of the Academy’s award programs, including establishing and launching new award cycles, helping to raise award awareness among global audiences, assessing a broad range of nominations in your subject area, recruiting expert judges, explaining the honorees’ work to broad audiences through a variety of multimedia and social media platforms, designing scientific symposia to showcase honoree research, and maintaining a network of previous honorees that participate in annual symposia, awards ceremonies, and other events. You may also participate in the administration of other physical sciences–based programming at the Academy as needed, for example working with the Scientific Programs team on conferences in various areas of physical sciences. ESSENTIAL DUTIES: • Work with the Senior Leadership to identify, select, and establish ongoing relationships with an international cadre of judges, Scientific Advisory Council members, nominators, nominating institutions, and affiliated partners., • Review nominations in broad disciplinary areas of physical sciences; evaluating each application according to rigorous quantitative and qualitative metrics., • Serve as primary point of contact for judges in your topic area and programs; facilitate nominee/applicant evaluation and honoree selection by juries of expert scientists, conducted both online and in-person., • Coordinate the preparation of multimedia materials for broad audiences that explain the impact of the honorees’ complex scientific research., • Conceptualize and develop scientific programming for international and domestic symposia that showcase honoree research for scientific and lay audiences., • Work with the Academy’s Senior leadership team as well as various administrative and operations departments, affiliated partners, and other vendors as needed to develop and execute domestic and international award ceremonies and other program events., • Collaborate across Academy departments to identify potential opportunities for ongoing honoree engagement in additional Academy initiatives and publications., • Develop an understanding of the Academy, its mission, strategy, and programs., • Serve as an ambassador for the Awards program portfolio, and the Academy as a whole, through public inquiries and networking opportunities., • Keep abreast of scientific advances relevant to program subject areas., • Facilitate judging processes in your topic areas, including the rationale applied to all stages of honoree selection and the recruitment of judges, ensuring the highest ethical standards are applied to all aspects of the nominations and judging process., • Prepare and review multimedia materials that explain the complex scientific concepts and impact of the honorees’ award-winning research to broad audiences across various platforms, including program websites, social media platforms, brochures, magazine articles, and press releases, as well as in short films, scripted speeches, and slide presentations showcased at awards ceremonies, symposia, and related events., • Work with Awards team, external key opinion leaders, and program sponsors to develop content and program materials for symposia that showcase honorees; moderate scientific sessions and panel discussions as required., • Work with the Academy’s marketing team to identify relevant outlets for awards and event promotion., • Track the major scientific and career milestones achieved by honorees and help to promote them and their work through our social media channels and other outlets as appropriate., • Work with the senior Leadership, program administration partners, and sponsors to manage compliance, Sunshine Act, fiscal, and other reporting requirements., • Work with Senior leadership, other team members, and sponsors to continuously evaluate and strive to improve the awards processes and implementation., • Author grants and sponsorship proposals for program support from government agencies, private companies, medical education, foundations, and individuals., • Review applications and select individuals for Poster Presentations, Travel Fellowships, and Poster Prizes., • Write and review program and post-conference reports for supporters., • PhD required in an appropriate subject area of Physical Sciences, including but not limited to: Astrophysics; Atomic, Molecular & Optical Physics; Chemical Engineering; Condensed Matter Physics; Electrical Engineering; Materials Science; Mechanical Engineering; Particle Physics; Physical Earth Sciences; Theoretical Physics, • Professional experience outside of academic research. This may include activities pursued in parallel to a research career, for example outreach activities or committee service, or more formal professional experience working in scientific publishing, non-profit, etc., • Post-doctoral or related experience in academia, government, or industrial research, and/or science publishing a plus., • Outstanding oral and written communication skills., • Experience, ability, and comfort in dealing with complex scientific information beyond own area of expertise., • Experience with grant writing and program management a plus., • Experience in global academic ecosystems outside of the US a plus., • Ability to work with multiple teams across departments and to manage multiple parallel projects with tight deadlines. Hybrid scheduling may be available based on business needs and the essential functions of the role. There will be some requirement to be onsite at our Downtown Manhattan location. Onsite days will be dictated by management. The work will be performed using standard computer equipment. Employee must be comfortable using a large suite of applications and tools including calendar, email, virtual calling and video conferencing. This role is largely sedentary. ADDITIONAL WORK ENVIRONMENT/PHYSICAL DEMANDS: Travel: Some domestic and/or international travel (5%) may be required most likely to the United Kingdom, Israel, Japan, India and/or Europe. SUPERVISORY RESPONSIBILITY: None. COMPENSATION & BENEFITS: Salary: $75,000 annually This is Full-time, exempt position. In addition to salary, the Academy offers a comprehensive benefits package which includes affordable health insurance, retirement plan with matching employer contribution, personal & career development stipend as well as liberal paid time off policies. Equal Employment Opportunity Statement The New York Academy of Sciences is an Equal Opportunity Employer and is committed to compliance with all applicable federal, state, and local employment laws. We prohibit discrimination in all aspects of employment, including recruitment, hiring, promotion, compensation, benefits, training, and termination, on the basis of any legally protected characteristic. This includes, but is not limited to, actual or perceived race, color, creed, religion, national origin, sex, gender identity or expression, sexual orientation, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by law. The Academy is also committed to making good faith efforts to recruit applicants from a wide range of backgrounds, experiences, and perspectives, including those historically underrepresented in the sciences Reasonable Accommodations The Academy is committed to providing reasonable accommodations to qualified individuals with disabilities and applicants with disabilities throughout the recruitment and employment process, in accordance with the Americans with Disabilities Act (ADA) and other applicable laws. If you need assistance or accommodations during the application or interview process, please contact Human Resources at Powered by JazzHR psXfC54sQj

Job DescriptionCompany Description BHFT is a proprietary algorithmic trading firm. Our team manages the full trading cycle, from software development to creating and coding strategies and algorithms. Our trading operations cover key exchanges. The firm trades across a broad range of asset classes, including equities, equity derivatives, options, commodity futures, rates futures, etc. We employ a diverse and growing array of algorithmic trading strategies, utilizing both High-Frequency Trading (HFT) and Medium-Frequency Trading (MFT) approaches. Looking ahead, we are expanding into new markets and products. As a dynamic company, we continuously experiment with new markets, tools, and technologies. We’ve got a team of 200+ professionals, with a strong emphasis on technology—70% are technical specialists in development, infrastructure, testing, and analytics spheres. The remaining part of the team supports our business operations, such as Risks, Compliance, Legal, Operations and more. Our employees are located all around the world, from the United States to Hong Kong. Although we maintain office spaces, we currently operate as a 100% remote organization. At BHFT, clarity and transparency are at the core of our culture: we value open communication, ensuring that our processes are straightforward. Job Description We are seeking an experienced ML-driven Alpha Researcher / Feature Engineer who thrives at the intersection of fast-paced markets, data science, and collaboration. This role is ideal for someone who can move quickly from idea to execution—transforming complex datasets into predictive trading signals that capture short-term market opportunities. You’ll work alongside a highly skilled modeling and execution team, ensuring that your research ideas don’t stay in theory but turn into real, monetized strategies. Key Responsibilities: • Perform rigorous, time-sensitive applied research across diverse data sources—including high-frequency market data and alternative datasets—to uncover systematic anomalies., • Design and engineer predictive features that can be rapidly tested and deployed into production strategies., • Lead and contribute to end-to-end signal research workflows: data sourcing, cleaning, feature engineering, signal generation, backtesting, and validation., • Partner closely with modeling and execution teams to ensure signals are integrated, stress-tested, and monetized efficiently.Qualifications, • Bachelor, Master’s or PhD in Applied Mathematics, Statistics, Physics, Engineering, Financial Engineering, Computer Science, or related field from a top-tier institution., • 5+ years of quantitative research experience with systematic strategies in liquid markets (equities, futures, options); intraday trading expertise is strongly preferred., • Proven ability to deliver alpha: signals that translate to real trading profits, not just backtest curves., • Expert-level Python skills (Pandas, SciPy, NumPy, Polars); ability to write clean, efficient, and scalable code., • Strong collaborative mindset: thrives in team environments, communicates clearly, and moves fast without compromising rigor., • High sense of ownership, urgency, and accountability. Additional Information What we offer: • Experience a modern international technology company without the burden of bureaucracy., • Collaborate with industry-leading professionals, including former employees of Tower, DRW, Broadridge, Credit Suisse, and more., • Enjoy excellent opportunities for professional growth and self-realization., • Work remotely from anywhere in the world with a flexible schedule., • Receive compensation for health insurance, sports activities, and non-professional training.

Job Description Do you want to be part of the core team building truly AI-native helpful experiences across the consumer space? Do you want to be at the cutting edge of what is next in the AI space but apply it to something of true value in the real world? At Verneek, we are on a mission to build the most helpful AI that augments the knowledge of anyone, anywhere, at any time! As opposed to the mainstream, we believe that the way to bring domain-general AI to the masses is to apply it one domain at a time, through AIs with deep domain expertise. We were on this journey before it got the hottest thing on the face of the planet! Come join some OGs in this so-called "generative AI" space and invent what is yet to be the future! If you are craving to learn something new every day while working at the cutting edge of AI, or if you are simply not satisfied with your academic AI ambitions anymore, Verneek could be a perfect opportunity for you: a deep-tech AI startup, where you'd get to learn, innovate, and leave your mark every single hour of every day. We are looking for a stellar & highly ambitious AI/NLP researcher as core employees to help build complex AI/NLP models supporting the Verneek AI platform! You'll get to work on fundamental AI research problems, but all grounded on our proprietary AI platform. It is all much more rewarding and influential than working on beating AI benchmarks! :) Every day, you'll get to solve very unique, highly complex, and socially impactful problems. This is an early-stage startup, so we'll be moving super-fast and there will be no legacy obstacles on your way to make a significant impact. Whatever you do every hour of every day counts!! RESPONSIBILITIES MINIMUM QUALIFICATIONS • MSc. or PhD degree in AI/NLP, • 4+ years of experience with Python, • Good grasp of fundamentals and the state-of-the-art in AI/NLP research, • 4+ years experience developing models with machine learning frameworks such as PyTorch, • Work authorization in the USA at the time of hire, • Continuing work authorization during employment can be sponsored by Verneek PREFERRED QUALIFICATIONS • Experience in Natural Language Understanding, Semantic Parsing, Dialogue Systems, • Experience in Transfer Learning and learning with limited data, • Publications in top-tier AI venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, etc., • Demonstrated AI/NLP engineering skillset through having deployed largescale AI/NLP systems to production, • Experience in building models in the commerce/retail domain Benefits Stellar medical, dental, vision, disability, and life insurance Daily private Chef lunch, curated to personal diets Transportation Benefits 401K matching contributions Flexible PTO Visa/Green Card Sponsorship Career growth support through sponsoring learning opportunities and mentorship About Verneek Verneek is an early-stage deep-tech AI startup, based in the NYC area, founded by a team of leading AI research scientists and backed by a group of world-renowned business and scientific luminaries. Our mission is to build the most helpful AI for anyone, anywhere, at anytime. We are obsessed with what we do and we have fun doing it. Read more about verneek here: and make sure to watch all our introductory videos and yearly recaps here: . Verneek Culture It’s often hard to put “culture” into words, perhaps you can get a visual sense of our culture here: . We all obsessively love what we do, care about each other, share all sorts of meals together, celebrate all kinds of events together, and work tirelessly with the excitement of making a difference through AI innovation. We are enjoying the journey, and going through all the ups and downs together. Although we have come a very long way in setting the foundations of our unique company, but we still have ways to go and you can help shape our culture! The core Verneek team plays a crucial role in further shaping the culture of the company moving forward. We are looking for highly ambitious and tremendously driven individuals who can take the lead in driving various aspects of the company, and help us shape its lasting impact. Annual Salary Range: $40K-$200K

Job Description Job Summary We are seeking a highly skilled and self-directed User Experience Researcher with deep expertise in quantitative methods to support product development across messaging, notifications, and search experiences. This role is ideal for someone passionate about uncovering user needs and translating insights into actionable strategies that shape world-class digital products. The ideal candidate thrives in fast-paced environments, excels at managing multiple concurrent projects, and brings a sophisticated understanding of user behavior, machine learning systems, and survey-based research. Key Responsibilities Research Design & Execution • Lead custom research initiatives to uncover user needs and inform product strategy., • Design and conduct robust quantitative studies, particularly survey-based research, including sampling, data cleaning, analysis, and reporting., • Partner with engineers working on ranking systems and machine learning models to ensure research insights inform technical development., • Synthesize research findings into compelling narratives using presentations, reports, workshops, and other creative formats., • Work closely with researchers, designers, product managers, data scientists, marketers, and engineers across multiple teams., • Deliver high-quality insights under tight deadlines, maintaining agility across multiple projects., • Bachelor's degree in Human-Computer Interaction, Psychology, Business, Social Science, or a related field., • 8+ years of experience in product or user research., • Proven expertise in research design, survey development, and statistical analysis (e.g., linear/logistic regression, ANOVA, t-tests, Chi-square)., • Proficiency in data analysis tools such as Python (Jupyter), R, or SPSS., • Advanced knowledge of online survey platforms and data analysis tools., • Strong organizational skills with the ability to work independently and manage multiple projects., • Excellent communication and interpersonal skills., • Master's or PhD in Human-Computer Interaction, Psychology, Business, Social Science, or a related field., • 10+ years of experience in product/user research., • Advanced statistical expertise (e.g., Hierarchical Linear Modeling, Latent Factor Analysis)., • Demonstrated ability to lead impactful research programs that influence product strategy., • Experience in digital advertising, monetization, or related domains. Location: New York, NY (Onsite) Role type: Contract - 6 Month Position Expected hours: 40 per week Benefits: • Dental insurance, • Health insurance, • Health savings account, • Life insurance, • Paid time off, • Retirement plan, • 8 hour shift, • English (Required)

Roles & Responsibilities: The Scientific Computing and Data group at the Icahn School of Medicine at Mount Sinai partners with scientists to accelerate scientific discovery. To achieve these aims, we support a cutting-edge high-performance computing and data ecosystem along with MD/PhD-level support for researchers. The group is composed of a high-performance computing team, the research clinical data warehouse team and a research data services team. The Senior HPC Administrator, High Performance Computational and Data Ecosystem, is responsible for a computational and data science ecosystem for researchers at Mount Sinai. This ecosystem includes high-performance computing (HPC) systems, clinical research databases, and a software development infrastructure for local and national projects. To meet Sinai’s scientific and clinical goals, the Senior Administrator has a good technical understanding for computational, data and software development systems along with a strong focus on customer service for researchers. The HPC Senior Administrator is an expert troubleshooter and productive team member and leads projects to effective and efficient completion independently under little to no supervision. This position reports to the Director for Computational & Data Ecosystem in Scientific Computing. Specific responsibilities are listed below. Responsibilities • Design, deploy and maintain Scientific Computing’s computational and data science ecosystem including ~30,000 cores with high bandwidth, low latency interconnects, GPUs, large shared memory nodes, databases, scientific workflows and 30+ petabytes of storage in production, clinical data warehouse and software development environment., • Lead the troubleshooting, isolation and resolution of all technical issues including application, system, hardware, software, and network). Actively monitors the systems., • Maintains, tunes and manages computational, data, cloud technologies and workflow systems for ISMMS researchers, scientists and their external collaborators. Defines and deploys a comprehensive computational and data vision. Identifies and communicates system advantages/disadvantages and tradeoffs., • Designs, develops, implements system administration tasks, including hardware and software configuration, configuration management, system monitoring (including the development and maintenance of regression tests), usage reporting, system performance (file systems, scheduler, interconnect, high availability, etc.), security, networking and metrics, etc., • Collaborates effectively with research and hospital system IT, compliance, HIPAA, security and other departments to ensure compliance with all regulations and Sinai policies., • Participates in the integration of HPC resources with laboratory equipment such as sequencers, clinical and research data resources and systems, etc. Incorporate and link data and compute resources., • Researches, deploys and optimizes resource management and scheduling software and policies and actively monitoring. Designs, tunes, manages and upgrades parallel file systems, storage and data-oriented resources., • Researches, deploys and manages security infrastructure, including development of policies and procedures., • Maintain all necessary aspects of HPC in accordance with best practices. Develops and implements backup policies., • Prepares and manages budgets for hardware, software and maintenance. Participates in chargeback/fee recovery analysis and provides suggestions to make operations sustainable., • Assists in developing and writing system design for research proposals. Creates and provides clear documentation., • Works effectively and productively with other team members within the group and across Mount Sinai., • Performs related duties as assigned or requested., • Provides after hours support for critical system and production issues., • Answers and resolves user tickets. Qualifications: • Bachelor's degree in computer science, engineering or another scientific field. Master's or PhD preferred, • 8+ years (higher preferred) of progressive HPC system administration and operations (preferably in a Redhat/CentOS Linux administration, Batch HPC cluster environment), • Must be an expert troubleshooter; Must be a team player and customer focused, • Experience with job scheduler such as LSF or Slurm and parallel file systems and storage, • Experience with networking and security, • Experience with configuration management systems such as xCAT, Puppet and/or Ansible, • Experience of databases and web services, • Experience in Infiniband, Gigabit Ethernet, • Experience in an academic or research community environment, • Script and programming experience, • Experience with Cloud Computing, • Ability to multitask effectively in a dynamic environment, • Excellent communication skills, analytical ability, strong judgment and management skills, and the ability to work effectively as a liaison between both research and technology teams., • Advanced degree, • Experience with GPFS, LSF, TSM, IB and ethernet networking, • Experience with databases and web services is highly preferred Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

Position Summary: The Scientific Computing and Data group at the Icahn School of Medicine at Mount Sinai partners with scientists to accelerate scientific discovery. To achieve these aims, we support a cutting-edge high-performance computing and data ecosystem along with MD/PhD-level support for researchers. The group is composed of a high-performance computing team, a clinical data warehouse team and a data services team. The Lead HPC Architect, Cybersecurity, High Performance Computational and Data Ecosystem, is responsible for designing, implementing, and managing the cybersecurity infrastructure and technical operations of Scientific Computing’s computational and data science ecosystem. This ecosystem includes a 25,000+ core and 40+ petabyte usable high-performance computing (HPC) systems, clinical research databases, and a software development infrastructure for local and national projects. The HPC system is the fastest in the world at any academic biomedical center (Top 500 list). To meet Sinai’s scientific and clinical goals, the Lead brings a strategic, tactical and customer-focused vision to evolve the ecosystem to be continually more resilient, secure, scalable and productive for basic and translational biomedical research. The Lead combines deep technical expertise in cybersecurity, HPC systems, storage, networking, and software infrastructure with a strong focus on service, collaboration, and strategic planning for researchers and clinicians throughout the organization and beyond. The Lead is an expert troubleshooter, productive partner and leader of projects. The lead will work with stakeholders to make sure the HPC infrastructure is in compliance with governmental funding agency requirements and to promote efficient resource utilizations for researchers This position reports to the Director for HPC and Data Ecosystem in Scientific Computing and Data. Key Responsibilities: HPC Cybersecurity & System Administration: • Design, implement, and manage all cybersecurity operations within the HPC environment, ensuring alignment with industry standards (NIST, ISO, GDPR, HIPAA, CMMC, NYC Cyber Command, etc.)., • Implement best practices for data security, including but not limited to encryption (at rest, in transit, and in use), audit logging, access control, authentication control, configuration managements, secure enclaves, and confidential computing., • Perform full-spectrum HPC system administration: installation, monitoring, maintenance, usage reporting, troubleshooting, backup and performance tuning across HPC applications, web service, database, job scheduler, networking, storage, computes, and hardware to optimize workload efficiency., • Lead resolution of complex cybersecurity and system issues; provide mentorship and technical guidance to team members., • Ensure that all designs and implementations meet cybersecurity, performance, scalability, and reliability goals. Ensure that the design and operation of the HPC ecosystem is productive for research., • Lead the integration of HPC resources with laboratory equipment for data ingestion aligned with all regulatory such as genomic sequencers, microscopy, clinical system etc., • Develop, review and maintain security policies, risk assessments, and compliance documentation accurately and efficiently., • Collaborate with institutional IT, compliance, and research teams to ensure all regulatory, Sinai Policy and operational alignment., • Design and implement hybrid and cloud-integrated HPC solutions using on-premise and public cloud resources., • Partner with other peers regionally, nationally and internationally to discover, propose and deploy a world-class research infrastructure for Mount Sinai., • Stay current with emerging HPC, cloud, and cybersecurity technologies to keep the organization’s infrastructure up-to-date., • Work collaboratively, effectively and productively with other team members within the group and across Mount Sinai., • Provide after-hours support as needed., • Perform other duties as assigned or requested. Requirements: • Bachelor’s degree in computer science, engineering or another scientific field. Master's or PhD preferred., • 10 years of progressive HPC system administration experience with Enterprise Linux releases including RedHat/CentOS/Rocky Systems, and batch cluster environment., • Experience with all aspects of high-throughput HPC including schedulers (LSF or Slurm), networking (Infiniband/Gigabit Ethernet), parallel file systems and storage, configuration management systems (xCAT, Puppet and/or Ansible), etc., • Proficient in cybersecurity processes, posture, regulations, approaches, protocols, firewalls, data protection in a regulated environment (e.g. finance, healthcare)., • In-depth knowledge HIPAA, NIST, FISMA, GDPR and related compliance standards, with prove experience building and maintaining compliant HPC system, • Experience with secure enclaves and confidential computing., • Proven ability to provide mentorship and technical leadership to team members., • Proven ability to lead complex projects to completion in collaborative, interdisciplinary settings with minimum guidance., • Excellent analytical ability and troubleshooting skills., • Excellent communication, documentation, collaboration and interpersonal skills. Must be a team player and customer focused., • Scripting and programming experience. Preferred Experience • Proficient with cloud services, orchestration tools, openshift/Kubernetes cost optimization and hybrid HPC architectures., • Experience with Azure, AWS or Google cloud services., • Experience with LSF job scheduler and GPFS Spectrum Scale., • Experience in a healthcare environment., • Experience in a research environment is highly preferred., • Experience with software that enables privacy-preserving linking of PHI., • Experience with Globus data transfer., • Experience with Web service, SAP HANA, Oracle, SQL, MariaDB and other database technologies. Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

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

What You Must Have - Bachelor's Degree - 7 years of experience - Certified Public Accountant (CPA) License in work office state; Levels 1 & 2 of the Chartered Financial Analyst (CFA) exam; - JD, PhD, MBA or Master's degree in Finance, Tax, Quantitative Statistics, Financial Engineering, Economics, R

Job Description About Harri: Harri is the first enterprise-ready workforce management platform built for the services vertical. The services vertical faces the greatest technological challenges that exist within the world of Human Capital Management and we believe they deserve a platform built from the ground up as a result. We have experienced a tremendous amount of growth since our 2012 inception and we have no plans on stopping that growth anytime soon. We are passionate about building a team of Service First-driven individuals who want to exceed the expectations of those who experience our brand. If you’re a builder, or problem solver, and love the fast pace of a startup, it’s time to meet the Harri family. Who you are: This is a rare opportunity to influence the application of AI and game-changing automation at a massive scale. As a key member of our Professional Services team, you will be both a people manager and a client-facing consultant, serving as an embedded partner to Product and Engineering. You will lead and mentor a team of consultants while translating real-world operations data into the models and playbooks that drive our AI-powered, fully autonomous scheduling solution. Day-to-day, you’ll translate client business goals into sophisticated labor models, deploy Harri’s Activity-Based Scheduling (ABS), and oversee R&D workstreams (e.g., experiment design, quality evaluation) that advance our platform from decision-support to full decision-automation. This visible, entrepreneurial leadership role requires someone who can manage people, guide delivery excellence, and still roll up their sleeves—researching and prototyping AI approaches, testing them with client data, and directly influencing our product roadmap through lighthouse pilots and published outcomes. Key Responsibilities: AI Labor Modeling & Optimization: • Design, tune, and deploy sophisticated forecasting and labor models (fixed/guided/range-table), translating demand into optimized coverage, roles, and shifts using ABS., • Champion "compliance-by-design" by embedding labor rules (minors, OT, breaks, fair workweek) into models and guardrails to ensure automation is safe by default., • Calibrate schedules to financial and operational targets (labor %, throughput, SLAs), tracking KPIs to measure impact and coaching leaders on schedule quality. Agentic AI & Autonomous Systems: • Lead the client journey from decision-support to full autonomy by designing and running structured R&D workstreams, including parallel validation and guided automation trials., • Conduct independent research to proactively learn, prototype, and improve our AI methods, turning successful experiments into repeatable, scalable playbooks. Executive Consulting & Commercial Leadership: • Serve as a trusted executive advisor on labor optimization and scheduling autonomy, participating in client QBRs, • Lead the full consulting lifecycle from presale, discovery (current-state assessment, value modeling) to delivery (workshops, change management plans, training). Experience and Skills: • Masters in Computer Science or MBA with 5+ years in Professional Services/consulting/WFM or enterprise SaaS (hospitality/retail multi-unit preferred)., • Deep hands-on with labor forecasting, wage modeling, ABS, and compliance tuning., • Executive presence with proven C-level communication; translates model outputs into business decisions., • AI fluency (practical): prompt/workflow design, agent orchestration concepts, interpreting model outputs/limits for stakeholders (no PhD required)., • Entrepreneurial, owner-operator mindset: drives independent research, prototypes, and client-facing experiments from zero to one., • Bonus: exposure to POS/HRIS/payroll integrations; US & UK labor/compliance familiarity. The salary range for this position is $140,000-$175,000 (USD).

Job Description Job Title: Senior Director,Insights Team: Insights & Strategic Planning Location: Hybrid in Chicago (IL) (strongly preferred), Atlanta (GA), or New York City (NY) Employment Type: Full-time Start Date: ASAP About Braven Braven is a national nonprofit that prepares promising college students to secure a strong first opportunity after college graduation through a career-accelerating program. We work with higher education and employer partners to offer a life-changing experience that begins with a semester-long course for college students followed by support that lasts through graduation. Together, our ambition is to help rebuild the middle class and revitalize the American Dream. To learn more, take a look at Braven’s Jobs Report. About the Role In order to achieve its ambition of serving 80,000-100,000 Fellows over the next decade, Braven is hiring a Senior Director, Insights who will lead a team of data professionals and be responsible for both advancing day-to-day operations and setting a bold vision for how Braven leverages data. What this looks like in your day-to-day life is that you will both be setting strategy in collaboration with other leaders and doing detailed, on-the-ground problem solving, building, and analysis alongside your team. You will play a pivotal role in shaping Braven into a truly data-powered organization, helping us use data to make transformative strategic, programmatic, and operational decisions. The ideal candidate combines technical mastery with exceptional leadership, management, and organizational influence in their every day. This role is on the Insights & Strategic Planning team and reports directly to the Head of Insights & Strategic Planning. What You’ll Do Strategic Data Leadership & Vision (35%) • Develop and champion a comprehensive data strategy that will support Braven’s pursuit of growth, outcomes, and continuous improvement, • Ensure the integration of program and operational data into cohesive systems and determine the best path to leveraging complementary external data for insights, • Drive data democratization to get the right information in the hands of the users and stakeholders, • Create simplicity, transparency, and reliability in the way Braven consumes and uses data insights., • Lead the development of dashboards, data pipelines, analysis tools, and models that support Braven’s programs and strategic planning, • Manage, coach, and develop a high performing team of data professionals, • Build a high-performance strong team culture grounded in learning, innovation, and excellence, • Drive professional development pathways and create opportunities for growth, • Stay on the cutting edge of data and AI advancements, integrating new technologies responsibly and strategically into Braven’s data efforts, • Serve as a key advisor to Braven’s executive team on the impact of data and emerging technologies (especially AI) on students, partners, organizational innovation, • Serve on priority-driven strategic councils, leadership bodies, and working groups as needed, • Other duties as assigned Requirements Minimum Requirements • BA/BS in quantitative field or work experience that demonstrates expertise in quantitative analysis, • Experience working in mission-driven, nonprofit, education, or adjacent sectors, • Deep technical expertise in data science, data engineering, analytics, and AI/ML, with a demonstrated track record of delivering organizational data strategies and building data maturity from the ground up, • 3+ years managing large, high-performing technical teams. Proven ability to lead and scale cross-functional teams, develop talent, and manage senior individual contributors., • Advanced degree (Master’s or PhD) in a quantitative or technical discipline (e.g., computer science, data science, statistics, economics), • Experience working with or for higher education institutions or in other mission-aligned B2B contexts, • Success developing data-related products or services for external audiences, • Strong fluency in AI/ML trends, ethics, and practical applications in social impact contexts, • Familiarity with Google Suite, Slack, Confluence suite, Tableau, Salesforce, • Exemplification of Braven’s core values, • Experience that has informed your belief in Braven’s mission and have prepared you to work with, or for, Braven’s student Fellow population. Please know that no one ever meets 100% of the preferred qualifications. If much of this describes you, we encourage you to apply. Work Demands • Ability to work in-person in Chicago (IL), Atlanta (GA), or New York City (NY) 3 days per week, • Authorized to work in the U.S. While the interview process may vary slightly, the general process will be: • Phone screen with Talent Team member, • Performance Task, • Panel Interview with Key Partners, • Interview with Hiring Manager Braven also provides competitive, comprehensive benefits, recognition, and career development. While Braven reserves the right to change benefits at any time, current benefits include: • Unlimited vacation time in addition to org-wide holidays and week-long shutdowns in July and the end of the calendar year (this is a minimum of 19 days per year), • Braven supports your path to parenthood and beyond with $25,000 in lifetime Carrot benefits for fertility, family-building, and hormonal health, • Match of your 401K contribution up to 5% of your base annual salary, starting your first full month, • Coverage of 85% of health insurance premium for employee and dependents, • 12 weeks of paid parental leave, • A one-month paid sabbatical after 4 years on staff Please note that Braven is firm in its compensation philosophy; therefore, only candidates who believe that our total rewards package matches what they are looking for in their next opportunity are encouraged to apply. Location We gather in the office 3 days a week (Tuesday through Thursday) and work remotely 2 days a week (Monday and Friday). Therefore, this role requires teammates to live within commuting distance of one of our hubs: Atlanta, Chicago, or New York. We believe in the magic, connection, and collaboration that happens when people work together face-to-face, and we believe in giving people flexibility to focus, balance personal priorities, and save themselves two commutes per week. Braven is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor. We encourage talented individuals of all backgrounds to apply.

MS or PhD in Electrical Engineering or equivalent practical work experience.

Job Description About the Job: CTLGroup is looking for a recent graduate, Building Envelope Associate, for multiple offices (Chicago, New York, Atlanta), who will focus on both new construction and existing building projects. This role combines technical knowledge, communication, and field work for a wide range of new and existing construction projects. The person will collaborate closely with architects, contractors, and internal teams to design and deliver high-performance, code-compliant exterior enclosure systems. Take the opportunity to learn more about the service at CTLGroup. We are passionate about our work and the talented individuals and team that get to learn and deliver complex projects on a regular basis. Key Responsibilities: • Work in all aspects of the building sciences, which include repair and restoration projects for existing buildings and new construction projects. Also includes exposure to assessing building mechanical systems, fire-resistant materials, and computer modeling for building energy use, embodied carbon, and the likelihood of condensation., • Field review and other contract administrative duties as required., • Forensic inspections of existing buildings to diagnose failures or determine the condition of various building envelope systems., • Assist with construction monitoring, field investigations, condition assessments, construction observations, project drafting, structural design and analysis, and site inspections., • Assist with research of new products and systems as needed for the servicing or portfolio of projects., • Assist with writing reports related to field work and research., • Computer-aided analysis of building envelope details and performance (training will be provided)., • Assisting with the preparation of bid specifications, drawings, and sketches., • Internal roles in the ongoing development of our technical standards and design tools., • Ability to use Python (or other programming language) or an AI-based tool to simplify a repeatable task is an asset., • Drawing and specification review for new construction projects., • Review of submittals and shop drawings during construction., • Implementation and adherence of CTLGroup’s quality assurance programs to ensure that services meet CTLGroup’s standards and our client's expectations., • Assist with the development and delivery of in-house and eventually client education and training programs., • Bachelor’s degree in engineering or architecture, Architectural Engineering, Building Science, Structural Engineering, or a related field; master’s or PhD an asset., • Must have a working knowledge and ability to use programs such as Microsoft Word, Excel, PowerPoint, and Bluebeam (or another PDF mark-up tool)., • Excellent communication skills, both verbal and written., • Ability to manage multiple tasks, priorities, and deliverables on an ongoing basis., • Must be willing to work at heights, including climbing ladders and working on a swing stage., • A valid driver's license is required for all locations., • Access to a vehicle is required for Chicago and Atlanta locations., • EIT designation is an asset., • Basic knowledge of exterior wall systems, construction assemblies, and industry codes is an asset., • Ability to use Python (or other programming language) or an AI-based tool to simplify a repeatable task is an asset., • Combination of office, laboratory, and field settings. We are CTLGroup, a team of engineers, architects, scientists, and consultants who are seasoned technical experts possessing unparalleled experience, knowledge, and testing proficiency in structures and materials. Our integrated team is backed by one of the most sophisticated commercial structural and building materials laboratories in the United States. Whether providing technical consultation, conducting laboratory studies, performing failure investigations, or offering expert testimony, we aim to solve our clients' problems and assist in achieving their objectives. Beyond delivering mere data, our team provides a foundation of confidence upon which our clients can build. *This job description describes the general nature of the position. The above declarations are not intended to be a complete list of responsibilities, skills and abilities required to do the job.CTLGroup provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Job Description COMPUTATIONAL DESIGNER - IOT ARCHITECT / SYSTEMS TECHNOLOGIST NY About Sherwood Design Engineers Sherwood is a civil and environmental engineering firm that is committed to investing in and embracing people, communities and the environment. Our team has delivered net zero energy and net zero carbon systems, net positive water systems, resilient coastlines, natural resource protection, green streets, living roofs and more for thousands of clients in the region and across the globe. We specialize in sustainable infrastructure, water management strategies, green building design, and systems based solutions for infrastructure and landscapes. Our focus is on the conservation and management of the consumption of all site resources — carbon, energy, water, and waste. We’ve worked on over thirty award-winning projects, and our work has been published locally and internationally. Founded in 2003, our award-winning projects include Hudson Yards in New York (the largest private real estate development in U.S. history), San Francisco Better Streets Plan, Greater New Orleans Urban Water Plan, revitalization of the iconic waterfront Brooklyn Bridge Park, and the 35 square-km Baietan Urban Area Plan in the heart of Guangzhou, China. Our mission is to engineer an environmentally and socially regenerative planet. Will you join us? Role Summary We are seeking an innovative and technically skilled Systems Technologist to join our multidisciplinary team specializing in Design, Civil Engineering, Ecology, and Hydrology. You’ll play a central role in building a new kind of environmental intelligence system—one that senses, learns, and responds. If you enjoy pushing technology boundaries to create smarter, more responsive ecological and infrastructure systems, we’d love to have you on our team. In addition to applied project work, this role offers opportunities for hands-on research and prototyping in soft materials sensing, environmental robotics, and responsive environmental systems. You’ll have the chance to test ideas at multiple scales—from benchtop prototypes to visiting your territorial-scale field installations on iconic local and international projects. Team members are encouraged to co-author publications, explore patentable innovations, present at conferences, and collaborate with leading academic and industry partners advancing environmental sensing and intelligent infrastructure. Minimum Skills • Bachelor’s degree or higher in Electrical Engineering, or Computer Science, or a related field., • 2+ years of professional or Hands-on lab / prototyping and testing experience with IoT systems and sensor network devices., • Familiarity with cloud infrastructure (AWS, Azure, Kubernetes) and IoT protocols (LoRaWAN, MQTT, WebSockets), and environmental sensing devices., • Familiarity with API, RESTful services, and real-time data handling., • Excellent communication skills, especially in translating technical content to interdisciplinary teams. Preferred Skills • Multi-disciplinary / Advanced Degrees (Masters or PHD) are encouraged., • 5+ years of experience in IoT systems, sensor networks, or data pipeline development—ideally within biological, environmental, and/or infrastructure contexts., • Demonstrated expertise in rapid prototyping and solution architecture for environmental sensor networks., • Passion for ecological intelligence, environmental data, and hyper-performance urban systems., • Develop IoT Integration Plans for environmental/ecological intelligence masterplans and sensor-network strategies for campuses or large-scale infrastructure developments; produce clear technical reports and documentation on sensor networks, digital twins, and environmental intelligence applications., • Design and be the solution-architect IoT-based sensor networks for environmental monitoring and infrastructure performance tracking., • Collaborate closely with engineers, ecologists, and hydrologists to define sensor requirements, data collection methods, and system integration approaches., • Work with the Sherwood Computational Design leads and project Principals to scope opportunities for new prototypes and novel sensing methods to measure hydrological, ecological, and environmental performance; contribute to internal R&D documentation and peer-reviewed publications., • Own a part of the firm with ESOP eligibility after one year, • Flexible working - with every other Friday off, • Competitive Health plans, including PPO and HMO options, Dental and Vision plans, • Learning and Development stipend to use as you see fit, • Generous PTO and 8 paid holidays, • Automatic 401k enrollment, • Fun team events, lunches and happy hours to get to know colleagues outside of work The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to: skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Sherwood Design Engineers, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $78,000-$181,000. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. Reasonable accommodations may be made to individuals with disabilities to perform the essential functions. We will consider for employment qualified applicants with arrest and conviction records. Powered by JazzHR YBbBKdIXed

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

Job Description Associate 3+ (Engineer for Building Envelope Group) Salary Range:$120,000.00 To $195,000.00 Annually About the job: We are seeking an intermediate to senior-level professional engineer to join our Building Envelope team in either Chicago or New York City. The ideal candidate has boundless curiosity (enjoys asking why things are done the way they are), a passion for delivering high-caliber work, and an enthusiasm for general building design. Energy and circularity will be transforming the way building envelopes are manufactured, designed, and constructed over the next decade.This is your opportunity to be a part of a team that will learn, teach, test, and deliver the next generation of building envelope designs, repairs, reuse, and investigative solutions. Key Responsibilities • Conduct thorough on-site inspections to assess damage, failures, or defects., • Collect and analyze data related to environmental, material fabrication, and construction practices., • Apply engineering first principles and analytical methods to determine root causes of building envelope problems, including the root causes of air infiltration, water infiltration, condensation, thermal radiation, and solar radiation., • Develop recommendations for the repair or retrofit of envelope structural components based on forensic findings., • Prepare detailed engineering reports documenting observations, analyses, findings, and recommendations as the lead or as part of a team when needed., • Support expert witness projects, as needed. Prepare and participate in depositions, as required., • Manage and oversee projects, ensuring deadlines and budget constraints are met., • Stay abreast of advancements in building envelope systems, energy codes, materials science, and forensic analysis., • Experience with terra cotta, brick, or stone masonry systems – or Experience with a variety of window wall, curtainwall, skylight, and storefront systems. Experience with both is an asset., • Explore markets in an area of your expertise and assist in business development activities toward meeting new technical peers and potential clients., • Proactively participate in professional development and thought leadership activities., • Education: Bachelor’s degree (BS) in Civil Engineering, Architectural Engineering, or Structural Engineering required; an Advanced degree (MS / PhD) is an asset., • Experience: 5-10+ years of project experience in building envelope design, repair, and investigation., • Licensure: Professional licensure is a requirement, either Professional Engineer (PE) in the State of New York or Structural Engineer (SE) in the State of Illinois (or the ability to attain one within six months of hire), with both licenses an asset., • Certifications (For NY candidates only): Qualified Exterior Wall Inspector (QEWI) designation from New York City Department of Buildings or ability to obtain QEWI within 6 months of start. Experience with NYC Local Law 11 Facade Inspection Safety Program., • Certifications (For IL candidates only): City of Chicago scaffold safety training certification or ability to obtain within 6 months of start., • Communication Skills: Excellent written and verbal communication skills. (Be willing to provide examples within the interview process), • Analytical Skills: Strong background in first principles of structural engineering and mechanics. Proficient with engineering tools for structural evaluation and analysis., • Project Management: Experience managing budgets and schedules, and leading projects., • Business Development: Experience with client engagement and presenting technical issues to Clients. Experience assisting with proposal writing. Physical and Travel Demands • Position may require some work to be completed in a field or laboratory environment, including work from heights or in confined spaces., • Enjoy up to 30% of the time in the field on assessments of building envelopes or structural system existing conditions., • Up to 20% travel may be required at times for this position. Who we are: We are CTLGroup, a team of engineers, architects, scientists, and consultants who are seasoned technical experts possessing unparalleled experience, knowledge, and testing proficiency in structures and materials. Our integrated team is backed by one of the most sophisticated commercial structural and building materials laboratories in the United States. Whether providing technical consultation, conducting laboratory studies, performing failure investigations, or offering expert testimony, we aim to solve our clients' problems and assist in achieving their objectives. Beyond delivering mere data, our team provides a foundation of confidence upon which our clients can build. *This job description describes the general nature of the position. The above declarations are not intended to be a complete list of responsibilities, skills and abilities required to do the job.CTLGroup provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Job DescriptionGopuff’s Data Science team powers the personalized search, browse and recommendation experiences that shape how customers discover daily goods. We are expanding our mission to include cutting-edge generative-AI capabilities. This role will lead the design and deployment of LLM-driven models that deeply understand customer needs and deliver personalized, timely experiences. You will partner with product managers, engineers and researchers to adapt pre-trained large language models (LLMs) to Gopuff’s unique business challenges, fine-tune models using LoRA/qLoRA, build retrieval-augmented generation (RAG) pipelines, and drive innovation from prototype through production.You Will: • Understand customer needs through AI: Build models that interpret intent and context to provide the right product, recommendation or experience at the right moment., • Fine-tune and adapt LLMs: Apply LoRA/qLoRA and RAG techniques to customize state-of-the-art LLMs for Gopuff’s domain, using frameworks such as Hugging Face, LangChain and LlamaIndex., • Architect personalization systems: Design robust pipelines for search, retrieval and ranking that combine generative AI with classical ML, leveraging vector databases and prompt/context optimization., • Drive algorithmic innovation: Explore and apply new methods in deep learning, reinforcement learning, multi-task learning and embeddings to improve personalization, recommendations and discovery., • Develop conversational and Q&A experiences: Build interactive agents that can answer questions, guide product discovery and engage with customers in natural language., • Deploy at scale: Collaborate with MLOps and engineering teams to productionize models with high scalability, reliability and low-latency response times., • Evaluate and optimize: Define metrics, design A/B tests and perform offline/online evaluations to measure model performance, customer satisfaction and business impact., • Collaborate and educate: Work with product, engineering, design, analytics and leadership teams to translate business needs into AI solutions and communicate data-science concepts clearly., • Mentor and lead: Provide technical leadership and mentorship to data scientists and ML engineers, fostering a culture of responsible, customer-focused AI., • Stay ahead of the curve: Continuously track emerging LLM architectures, tools and techniques, and integrate them into Gopuff’s AI roadmap.You Have:, • MS/PhD in Computer Science, Statistics, Mathematics or a related field with 2+ years of experience building generative-AI systems (or 8+ years of industry experience in data science)., • Demonstrated experience fine-tuning LLMs using LoRA/qLoRA, adapting models through RAG pipelines, and optimizing with transformer architectures., • Proficiency in prompt engineering, RLHF and model optimization., • Hands-on expertise with Hugging Face Transformers, LangChain, LlamaIndex and vector databases (e.g., Pinecone, FAISS)., • Strong skills in Python and ML frameworks (PyTorch, TensorFlow, JAX); experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Databricks, etc.)., • Experience working with large datasets and SQL; ability to write scalable, production-quality code., • Excellent communication and collaboration skills to partner across technical and business teams., • A passion for building AI that understands and anticipates customer needs while ensuring responsible and fair use of technology.Compensation:, • Gopuff pays employees based on market pricing and pay may vary depending on your location. The salary range below reflects what we’d reasonably expect to pay candidates. A candidate’s starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and market conditions. These ranges may be modified in the future. Exceptions may be made for exceptional individuals. For additional information on this role’s compensation package, please reach out to the designated recruiter for this role., • This role is eligible for a discretionary annual cash bonus and participation in Gopuff’s equity incentive plan., • Base Salary Range: $175,000 - $270,000What We Offer:, • Medical/Dental/Vision Insurance, • 401(k) Retirement Savings Plan, • HSA or FSA eligibility, • Long and Short-Term Disability Insurance, • Mental Health Benefits, • Fitness Reimbursement Program, • 25% employee discount & FAM Membership, • Flexible PTO, • Group Life Insurance #LI-GOPUFF Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:We are seeking highly motivated plasma physicists and mathematicians to join our team, focusing on the optimization of electromagnetic coils for stellarator magnetic fields. The ideal candidate will possess a strong background in nonlinear optimization. Experience with magnetic confinement of plasma is a plus. You will work with an exciting and dynamic team, contributing to cutting-edge research and development in Thea Energy’s stellarator systems.Key responsibilities: • Develop and implement algorithms for the optimization of the configuration of electromagnets., • Conduct optimizations of stellarator electromagnetic coil systems considering metrics for plasma performance, maintainability, and economics., • Collaborate with cross-disciplinary teams to design a stellarator fusion system., • Perform data analysis, model validation, and provide insights into the parametric dependence of coil systems., • Prepare technical reports, presentations, and publications based on simulation results and optimization findings., • Stay up to date with the latest advancements in computational plasma physics, fusion energy, and optimization techniques. Required Experience & Skill Set:, • PhD Plasma Physics, Applied Physics, Electrical Engineering, Applied Mathematics, or a related field and 7+ years of experience., • Strong knowledge of numerical optimization., • Experience with magnetic plasma confinement, especially stellarators, is a plus., • Proficiency in programming languages commonly used in scientific computing (e.g., Python, Fortran, or MATLAB)., • Excellent analytical, problem-solving, and communication skills., • Ability to work independently and manage projects., • Strong attention to detail and a passion for advancing the field of fusion energy research., • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally., • Experience with stellarator and coil optimization, and software tools such as STELLOPT, SIMSOPT, DESC, FOCUS. Familiarity with fusion devices. Familiarity with advanced numerical optimization including nonlinearly constrained optimization and/or combinatorial optimization. Experience in high-performance computing (HPC) environments.Company Benefits, • Salary range $150,000-$210,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job DescriptionFounded by NASA, Google, Sidewalk Labs, Waymo, and Cruise experts, Thalo is a tech-enabled services company transforming the HVAC industry with next-generation sensing and AI-powered intelligence. Heat pump and other HVAC failures cost billions in emergency repairs and wasted energy annually, and are managed by an increasingly short-handed labor pool. Thalo is building an AI-powered platform transforming static assets into self-monitoring, high-performance systems, empowering technicians to shift from reactive fixes to proactive service. Our team has built self-driving cars at Waymo, worked on satellite imagery at Google, designed systems for John Deere, developed space missions for NASA, led manufacturing design for Boom Supersonic jets, and more. We are united by our shared goal of making products that help us decarbonize today and accelerate drawdown globally at the intersection of cutting edge, robotics-inspired hardware and the built environment. Our ideal candidate is excited to operate at both the leadership and tactical levels, jumping between hands-on engineering work and higher level strategy work. This role will be responsible for leading our software engineering team and improving the experience of Thalo products by defining and driving the software engineering roadmap, integrating ML models into our platform, mentoring existing team members, and partnering closely with our CEO to iterate on our product vision. If you’ve led software engineering teams with a hands-on approach at a startup, we’d love to talk!What We Offer • An immediate opportunity to make an impact fighting climate change with a mission-driven team., • An in-person, collaborative culture. In our midtown Manhattan office, we not only have a stocked pantry but we also dedicate time to connect with each other during weekly happy hours and quarterly offsites., • National subsidized healthcare plans for medical, dental, and vision insurance., • Additional benefits include a 401(k) program, 12 weeks paid parental leave, and paid time off, • Free, anonymous mental health and coaching appointments through Lyra., • Thalo Labs believes everyone should be compensated fairly. At our ground-floor stage, our compensation structure places a strong emphasis on the value of high equity, with an annual base salary ranging from $190,000-$240,000.What You'll Do, • Own and execute Thalo’s software product strategy in partnership with the hardware, leadership, and GTM teams, • Architect and develop AI enabled HVAC monitoring and analytics products that deliver automated insights to customers on a daily, weekly, and monthly cadence, • Research, develop, and implement ML models in production environments to enhance the performance of Thalo’s software platform, • Mentor, grow, and lead a high-performing team while maintaining strong engineering practices., • Continuously build and improve software infrastructure for large-scale data ingestion, storage, transformation, and analysis.What You Have, • 7+ years of experience working as a software engineer and 2+ years experience leading engineering teams, preferably in an early stage startup environment., • Extensive experience and knowledge working in a hardware-driven product ecosystem, such as autonomous vehicles, robotics, or IoT devices., • Experience developing, deploying, and managing large-scale web and data-intensive applications., • Experience researching and implementing ML models in customer facing products, • Comfort with our tech stack (React, Typescript, Python, Pandas, Django, Terraform, AWS, etc.,), • Prior experience and a passion for leading and mentoring engineering teams., • Even if you don’t meet all the requirements listed above, we still encourage you to apply. We’re interested in meeting with a broad array of candidates. Bonus Points, • A passion for tackling climate change and promoting sustainability, • BS, MS or PhD in Computer Science or related field

Job Description ByHeart is an infant nutrition company built from the ground up to deliver real innovation on behalf of babies and parents. Our mission is simple: make the best formula in the world. That's why we studied the latest breast milk science, worked directly with suppliers we know and trust, set uncompromising quality standards, developed our own small batch blending process, built our own manufacturing facilities, and conducted a groundbreaking clinical trial. Our goal is to create a future where all parents feel amazing about feeding their baby—no matter how they do it. When we launched our Whole Nutrition Infant Formula in 2023, we were the first new US infant formula manufacturer in 15 years. Since then, we've been leading the way in a lot of ways. We're… • The first and only US-made* infant formula made with organic, grass-fed whole milk, not skim., • The first and only U.S. infant formula company to add the two most abundant proteins found in breast milk—alpha-lac and lactoferrin—to our ingredients list., • The first infant formula company to receive Clean Label Project's Purity Award (and we test for 700 contaminants vs the required 400)., • We ran one of the largest clinical trials in the US in 25 years., • Our clinically proven benefits include:, • Less spit up**, • Softer poops**, • Easier digestion **Vs a leading infant formula As the only new entrant to establish three US manufacturing facilities (in Pennsylvania, Iowa, and Oregon), ByHeart has the capacity to meaningfully capture share of the US $6B infant formula market. With >$470M in funding, we're shifting the industry forward—and this is just the beginning. Help us build a future where all parents can feel amazing about feeding, by joining our growing team of >360 people that stretches across the country. We're proud to offer competitive, family-first benefits, including but not limited to: • Health insurance for the whole family: medical, dental, & vision insurance covered 100%, with 90% coverage for your family., • Flexible paid time off: plus 12+ company holidays, and your kid's birthday off!, • 16-weeks of fully-paid parental leave and new parent support: free 1-year supply of formula, cozy feeding suites, and paid pumping time., • Up to 6% 401(k) Match to help you plan for your future. ByHeart In the News • Entrepreneur: The Illusion of the Shelf – The Driving Force Behind Infant Formula Shortages, and What Needs to Change, • Forbes: A Startup Wanted To Make A Better Baby Formula. It Took Five Long Years., • Forbes: Entrepreneurs Breaking Barriers: Learn From Founders Who Took On The Impossible, • Business Insider: ByHeart Announces Published Data in a Scholarly Journal on Benefits of The Novel High Quality Protein Blend in Their Groundbreaking Next-Generation Easy to Digest Infant Formula, • Axios: Infant formula maker ByHeart raises $95 million, • Babylist 2025 Best formula for breastfed Babies, • Parents 2025 Closest to Breastmilk: The 7 Best Baby Formulas, • What to Expect: The 11 Best Baby Formulas of 2025, Vetted by Pediatricians and 300+ Moms, • New Modern Mom: The Clean Formula Moms Are Loving ROLE DESCRIPTION The Senior Principal Process Engineer is responsible for leading manufacturing process design, scale-up, and optimization. The role provides strategic technical direction, mentorship of process engineers, and leads cross-functional initiatives to enhance product quality, regulatory compliance, and operational efficiency. Reports To: VP, Supply Operations Location: Remote Key Responsibilities Process Design & Optimization • Lead process design for new and existing product lines, including spray drying, blending, CIP, and packaging operations., • Develop and validate process parameters to ensure consistent quality and compliance with FDA and GMP standards., • Serve as the SME (Subject Matter Expert) for critical process technologies (e.g., thermal processing, mixing, evaporation, drying)., • Drive continuous improvement projects focused on yield improvement, energy reduction, and waste minimization., • Author and approve process validation protocols and reports (IQ/OQ/PQ)., • Ensure process documentation aligns with FDA, FSMA, and internal Quality Management System (QMS) standards., • Partner with Manufacturing, Maintenance, and Quality leaders to troubleshoot and improve line performance., • Support capital project execution by defining process requirements and equipment specifications., • Use process modeling and data analytics (SPC, DOE, Six Sigma tools) to identify opportunities for process stability and optimization., • Education: Bachelor's or Master's in Chemical, Mechanical, or Process Engineering (PhD preferred)., • Experience: 10+ years of process engineering experience in FDA-regulated manufacturing, ideally with infant formula, dairy, or food ingredients., • Certifications: Six Sigma Black Belt or Lean certification preferred., • Advanced process modeling (Aspen, MATLAB, Minitab, etc.), • Strong understanding of cGMP, HACCP, and sanitary design principles, • Exceptional technical writing and documentation skills, • Decision Quality – Makes sound technical decisions that balance innovation with regulatory compliance., • Tech Savvy – Leverages process automation, sensors, and digital twin technologies to enhance efficiency., • Drives Results – Delivers measurable improvements in throughput, yield, and quality., • Collaborates – Works effectively across disciplines to solve complex operational challenges. We're excited about your interest in joining ByHeart! Our Talent Acquisition team reviews applications in the order they are received and will reach out directly to schedule interviews. We kindly ask that you refrain from contacting hiring managers or current employees directly. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job Description About Cleerly We're Cleerly – a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. About the Opportunity We are seeking an accomplished Staff Product Manager to lead the release and launch of Cleerly's AI-powered products for cardiovascular health. The Product Manager will collaborate with cross-functional teams to define product requirements, prioritize features, and deliver innovative AI solutions that directly impact the diagnostic and prognostic care pathways for heart disease. This role requires a focus on understanding clinical needs, designing effective solutions, and making informed trade-offs to balance customer demands with technical feasibility. The Product Manager will be a primary contributor to product definition and will be responsible for prioritizing and articulating new opportunities in the marketplace and defining the product roadmap in alignment with the overall business objectives. Responsibilities • Lead the product roadmap for innovation products aligning with market demand, customer needs and company goals., • Engage with internal and external stakeholders, such as clinicians and AI scientists, to shape the product vision and direction; establish the voice of the customer funnel., • Write clear business and functional requirements that support development efforts while ensuring clinical relevance and regulatory alignment., • Understand the domain of diagnostic and prognostic care pathways for heart disease to guide product decisions., • Prioritize features and balance trade-offs between performance, feasibility, and business impact., • Collaborate with AI, regulatory, and engineering teams on implementation, from design and development reviews to launch, ensuring timely and high-quality delivery., • Work closely with product management and leadership teams to develop and support the go-to-market strategy., • Define, track, and interpret key product metrics to drive future product iteration, inform decisions and drive continuous improvement., • 10-12+ years in product and portfolio management, with hands-on experience developing and launching SaMD, or AI-driven healthcare solutions., • Bachelor's degree in Engineering, Biomedical Engineering, or a related technical field (MS or PhD a plus)., • Proven track record of leading the roadmap planning, end-to-end development, launch, and iteration of complex products in fast-paced or startup environments., • Deep understanding of clinical workflows and advanced imaging techniques, particularly in cardiology and radiology., • Track record of managing products through the full lifecycle, from concept to launch and beyond, while anticipating future needs and problems in the roadmap., • Strong research and analytical skills, a deep understanding of customer needs, and an ability to represent the customer as a stakeholder in detailed design team meetings., • Skilled at breaking down complex, ambiguous, or changing problems into clear product strategies and functional requirements., • Familiar with deep learning concepts, agile development methodologies (e.g., Agile, Scrum), and the regulatory environment (FDA, HIPAA, and global guidelines)., • Comfortable working cross-functionally including ML/AI, clinical, engineering, sales, regulatory, and marketing teams., • 12+ years in product and portfolio management, with hands-on experience developing and launching SaMD, or AI-driven healthcare solutions., • Experience leading cross-functional project teams including ML/AI, imaging, clinical, engineering, sales, regulatory, and marketing teams., • Prior experience in the cardiovascular field with base knowledge of cardiovascular diseases and procedures, to be able to engage in thoughtful discussions with key stakeholders., • Comprehensive knowledge of one or more medical imaging modalities (CT, MRI, Ultrasound, Fluoroscopy, etc.) and their role in diagnostic decision making, procedure planning and guidance., • Prior experience in complex healthcare or medical imaging workflow applications and enterprise imaging solutions, • Track record of driving strategic ideas, building business cases, developing product roadmaps, and securing executive alignment to deliver high-impact solutions. TTC $219,000 - $270,000 *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.). Each role at Cleerly has a defined salary range based on market data and company stage. We typically hire at the lower to mid-point of the range, with the top end reserved for internal growth and exceptional performance. Actual pay depends on factors like experience, technical depth, geographic location, and alignment with internal peers. Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. By submitting your application, you agree to receive SMS messages from Cleerly recruiters throughout the interview process. Message frequency may vary. Message and data rates may apply. You can STOP messaging by sending STOP and get more help by sending HELP. For more information see our Privacy Policy (). All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

Job DescriptionVaro is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. About The RoleVaro represents a new generation of fintech built on technology and innovation to empower consumers. We serve millions of Americans with our mobile app to make digital banking easy, convenient, and personalized. As a Senior Data Scientist (Machine Learning), you’ll get the chance to develop innovative models that affect millions of users in the fintech space. You’ll work with experienced Machine Learning Scientists as well as collaborate with your peers on exciting science problems in the fraud detection, risk modeling, personalization, operations, and causal inference spaces. About the Data Science TeamVaro’s Data Science Team develops Machine Learning models that make it easier for the right people to get access to funds, help protect customers from fraudsters, and transform the in-app experience with real-time recommendations. Unlike some organizations where data takes a support role, here at Varo data science is front and center. Since we are in hyper-growth mode, you will get to work on the most impactful data science problems from day one. We rely on advanced techniques in machine learning, cloud platforms, and data technology. We’re a team of PhDs and ex-academics with a collegial work atmosphere. If you are interested in working with an impressive team of Data pros who collaborate and challenge each other and want to solve interesting problems to propel the company’s growth, apply now!What you'll be doing • Develop production-grade ML algorithms, such as fraud detection algorithms, recommender systems, dynamic credit risk models, and large-scale causal inference models, as well as processes for monitoring and analyzing their performance, • Leverage large data sets from different sources, and use modern modeling techniques such as tree-based methods, neural networks, and reinforcement learning to increase and optimize customer experiences, customer acquisition, underwriting, and other business outcomes, • Work with stakeholders throughout the organization to identify opportunities for driving business decisions or improving our product suite with ML, • Collaborate cross-functionally with the engineering team to deploy models and monitor outcomesYou’ll bring the following required skills and experiences, • An advanced degree in a quantitative field - computer science, engineering, statistics, operations research, economics, etc., • 4+ years of experience as a Data Scientist, Machine Learning Scientist, or Research Scientist as an individual contributor, including but not limited to relevant experience from your PhD research, • Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks, • Experienced in using Python for analysis, modeling, and visualization (numpy, pandas, scikit, nltk, matplotlib, etc.), • Ability to thrive in a fast-paced environment, • Strong bias for action and team player About VaroVaro launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We’re a new kind of bank – all-digital, mission-driven, FDIC-insured, and designed around the modern American consumer. As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer-first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. We are growing quickly in our hub locations of San Francisco, Salt Lake City, and Charlotte along with colleagues located across the country. We have been recognized among Fast Company’s Most Innovative Companies, Forbes’ Fintech 50, and earned the No. 7 spot on Inc. 5000’s list of fastest-growing companies across the country. Varo. A bank for all of us. Our Core Values- Customers First- Take Ownership- Respect- Stay Curious- Make it Better Learn more about Varo by following us:Facebook - - - Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Beware of fraudulent job postings!Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e-mail with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants: We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Voyant Photonics Voyant Photonics is redefining machine perception with compact, high-performance LiDAR devices that fit in the palm of your hand. Leveraging cutting-edge silicon photonic chips, our sensors deliver unparalleled accuracy in range, velocity, and reflectivity, at a fraction of the cost of traditional LiDAR systems. By transforming high-precision sensing into an accessible technology, we are enabling new applications in robotics, autonomous systems, industrial automation, and beyond. At Voyant, we are not just building products, we are advancing an industry. Our breakthrough technology bridges the gap between research and real-world deployment, making high-performance LiDAR scalable and commercially viable. About Us: 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. Location: This role is based in New York City. We offer relocation assistance and are open to remote arrangements, with monthly travel to the NYC office. Position Summary Voyant Photonics is seeking an exceptional Vice President of Silicon Engineering to lead the development of multiple mission-critical ASICs that form the electronic backbone of our FMCW LiDAR systems. Reporting directly to the Chief Science Officer, this once-in-a-lifetime opportunity puts you at the forefront of building the physical AI in every moving device. You will drive silicon development from architecture through volume production, managing both internal engineering teams and external design partners to deliver complex digital and mixed-signal ASICs that seamlessly integrate with our cutting-edge silicon photonics LiDAR platform. This leadership role offers the chance to shape the silicon architecture behind breakthrough LiDAR technology in a well-funded, rapidly growing deep-tech startup. You will collaborate closely with world-class photonics and systems engineers in a highly innovative environment, helping define the future of autonomous sensing and redefining how machines perceive the world. Key Responsibilities Technical Leadership * Define and drive the silicon roadmap aligned with product requirements and photonic PIC integration needs * Lead architecture and design of multiple ASICs including high-speed digital signal processing, precision analog front-ends, drivers, and power management * Discern what technologies should be integrated into the Voyant ASIC chipset and what are best left for implementation with catalog components * Establish design methodologies, flows, and best practices across advanced digital and specialty analog/BCD technology nodes * Interface closely with photonics, systems, and product teams to optimize silicon photonics co-design * Drive critical technical decisions on architecture, process selection, IP strategy, and design-for-manufacturing Program Management * Manage end-to-end ASIC development from specification through tape-out, characterization, qualification, and production ramp * Build and maintain relationships with foundries (TSMC, GlobalFoundries, etc.), IP vendors, and design service providers * In partnership with the project management organization, establish project schedules, resource plans, and budgets; track milestones and deliver to committed timelines * Implement risk management strategies and contingency planning for complex multi-project silicon development * Drive design reviews, validation plans, and post-silicon debug activities Team Development * Build, mentor, and manage a high-performing internal silicon engineering team * Recruit top talent across digital design, analog/mixed-signal design, physical design, and verification * Manage external contractors and design houses; ensure quality and alignment with internal standards * Foster a culture of technical excellence, innovation, and cross-functional collaboration Business Impact * Partner with executive leadership to align silicon strategy with business objectives and product timelines * Support customer engagements with technical presentations and roadmap discussions * Contribute to fundraising and investor communications with technical credibility * Drive cost optimization and yield improvement initiatives to meet product margin targets Required Qualifications * Bachelor's degree in Electrical Engineering, Computer Engineering, or related field (Master's or PhD preferred) * 10+ years of experience in ASIC development with at least 3 years in management or technical leadership roles * Proven track record architecting and/or managing complex mixed-signal ASIC projects through production * Deep expertise in advanced digital ASIC design methodologies * Strong knowledge of analog and mixed-signal design in specialty process technologies * Experience managing multi-project portfolios with internal teams and external design partners * Demonstrated success taking ASICs from concept through volume production and qualification * Strong understanding of ASIC cost drivers, yield optimization, and manufacturing economics Preferred Qualifications * Experience with high-speed data converters (ADCs/DACs), pipelined DSP, and analog circuits including TIAs and high-frequency amplifiers * Background in sensor systems, imaging, LIDAR, radar, or related applications * Familiarity with silicon photonics or optical system integration * Experience with signal processing algorithms and hardware acceleration * Knowledge of functional safety standards (IEC 61508, ISO 26262) and safety-critical design practices * Knowledge of automotive, industrial, space, or other rugged environment qualification requirements (AEC-Q100, etc.) * Track record in startup or fast-paced product development environments * Existing relationships with foundries, IP vendors, and design service ecosystem Key Competencies * Strategic thinking with strong execution discipline * Excellent communication skills across technical and business audiences * Ability to thrive in ambiguity and adapt to changing priorities * Strong cross-functional collaboration and influence skills * Results-oriented with accountability for commitments * Technical depth combined with business acumen Compensation & Benefits * Competitive salary and meaningful equity package * Comprehensive health benefits (Medical, Dental, Vision) * Unlimited PTO and paid company holidays * Flexible work environment (Hybrid or remote with travel) * Team events and company meetups 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 DescriptionAbout CertiKOne of the fastest-growing and most trusted companies in blockchain security, CertiK is a true market leader. To date, CertiK has worked with over 3,200 Enterprise clients, secured over $310 billion worth of digital assets, and has detected over 60,000 vulnerabilities in blockchain code. Our clients include leading projects such as Aave, Polygon, Yearn, and Chiliz. Investors = Insight Partners, Sequoia, Tiger Global, Coatue Management, Lightspeed, Advent International, SoftBank, Hillhouse Capital, Goldman Sachs, Shunwei Capital, IDG Capital, Wing, Legend Star, Danhua Capital and other investors. About the roleWe are seeking security research interns to join a top-notch security research team. We are working on a wide range of security research topics, including malware analysis, vulnerability detection, network anomaly detection, mobile app analysis, reverse engineering, and fraud detections. Multiple research tasks are ready to be explored. Responsibilities • Develop analysis tools to facilitate security discovery and design mitigation techniques to deter security threats., • Review system implementation of sandbox, VM, network modules, and critical distributed system., • Perform vulnerability discovery and develop PoC exploits to large distributed system implementations., • Publish research findings in related academic and industry venues.Requirements, • Pursuing Masters or PhD in Computer Science or Cybersecurity related field., • Experiences in vulnerability discovery and exploitation on web applications or system software.Preferred, • Experiences in WASM or Rust/Go development is a plus., • CTF experiences are a plus as well.Compensation$3000 - $8000/month (Full Time). The exact compensation at which this internship is filled will be determined by the skills and experience of qualified candidates. #blockchain#startups#hiring CertiK accepts applications on an ongoing basis for this position until it is filled. The approximate date of closing will be April 30, 2024. CertiK accepts applications for this position on an ongoing basis. CertiK is proud to offer medical, vision, and dental insurance, 401(k) plan with company matching, life and accidental death and dismemberment insurance, HSA (with high deductible plan), FSA, and other benefits to all full-time employees, along with flexible paid time off and holidays. CertiK also offers a variable commission program for business development sales roles. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. CertiK is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, medical condition, national origin, ancestry, citizenship, marital status or civil partnership/union status, physical or mental disability, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law. CertiK will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. All CertiK employees are expected to actively support diversity on their teams, and in the Company. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description We are Rokt, a hyper-growth ecommerce leader. Rokt is the global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt’s AI Brain and ecommerce Network powers billions of transactions connecting hundreds of millions of customers and is trusted to do this by the world’s leading companies. We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue—and often all their profits—from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation. The Rokt engineering team builds best-in-class ecommerce technology that provides personalized and relevant experiences for customers globally and empowers marketers with sophisticated, AI-driven tooling to understand consumers better. Our bespoke platform handles millions of transactions per day. It considers billions of data points which give engineers the opportunity to build technology at scale, collaborate across teams and gain exposure to a wide range of technology. We are looking for a Senior Machine Learning Engineer Target Total Compensation: $300,000 - $435,000, including a fixed annual salary of $200,000 - $285,000, employee equity grant, and world-class benefits. As a Senior Machine Learning Engineer, you are someone who has significant expertise in both machine learning and software engineering. You will be working with our engineering and product teams to design, build and productionise proprietary machine learning models to solve different business challenges including smart bidding, budget pacing, lookalike modelling, and more. What You’ll Do • Build and productionise machine learning models including data preparation/processing pipelines, machine learning orchestrations, improvements of services performance and reliability and etc., • Contribute and maintain the high quality of the code base with tests that provide a high level of functional coverage as well as non-functional aspects with load testing, unit testing, integration testing, etc., • Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, and architect machine learning solutions. About You: • Masters or PhD in Machine Learning, • 3+ years of industry experience in building production-grade machine learning systems with all aspects of model training, tuning, deploying, serving and monitoring, • Good Knowledge in AWS, Kubeflow (or similar), Tensorflow and Feature Store in a production environment., • Good knowledge in and experience with some of the following areas - Bayesian methods, Recommender systems, multi-task modelling, meta-learning, click through rate modelling or conversion rate modelling About Rokt’stars: As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock real-time relevancy in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks, or challenge the status quo; in doing so we either win or learn. We work together as one aligned team never letting egos get in the way of brilliant ideas. We value diversity, transparency and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better. About the Benefits: We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves and offering a great list of perks and benefits to go with it: • Become a shareholder. Every Rokt’star gets equity in the company, • Enjoy catered lunch every day and healthy snacks in the office., • Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and great health benefits for you and your dependents., • Dog-friendly office, • Extra leave (bonus annual leave, sabbatical leave etc.), • Work with the greatest talent in town We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Description About Cleerly We're Cleerly – a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. About the Opportunity We are seeking an accomplished Staff Product Manager to lead the release and launch of Cleerly's AI-powered products for cardiovascular health. The Product Manager will collaborate with cross-functional teams to define product requirements, prioritize features, and deliver innovative AI solutions that directly impact the diagnostic and prognostic care pathways for heart disease. This role requires a focus on understanding clinical needs, designing effective solutions, and making informed trade-offs to balance customer demands with technical feasibility. The Product Manager will be a primary contributor to product definition and will be responsible for prioritizing and articulating new opportunities in the marketplace and defining the product roadmap in alignment with the overall business objectives. Responsibilities • Lead the product roadmap for innovation products aligning with market demand, customer needs and company goals., • Engage with internal and external stakeholders, such as clinicians and AI scientists, to shape the product vision and direction; establish the voice of the customer funnel., • Write clear business and functional requirements that support development efforts while ensuring clinical relevance and regulatory alignment., • Understand the domain of diagnostic and prognostic care pathways for heart disease to guide product decisions., • Prioritize features and balance trade-offs between performance, feasibility, and business impact., • Collaborate with AI, regulatory, and engineering teams on implementation, from design and development reviews to launch, ensuring timely and high-quality delivery., • Work closely with product management and leadership teams to develop and support the go-to-market strategy., • Define, track, and interpret key product metrics to drive future product iteration, inform decisions and drive continuous improvement., • 10-12+ years in product management, with hands-on experience launching AI-driven healthcare solutions, or clinical SaaS., • Bachelor's degree in Engineering, Biomedical Engineering, or a related technical field (MS or PhD a plus)., • Proven track record of leading the roadmap planning, end-to-end development, launch, and iteration of complex products in fast-paced or startup environments., • Deep understanding of clinical workflows and advanced imaging techniques, particularly in cardiology and radiology., • Track record of managing products through the full lifecycle, from concept to launch and beyond, while anticipating future needs and problems in the roadmap., • Strong research and analytical skills, a deep understanding of customer needs, and an ability to represent the customer as a stakeholder in detailed design team meetings., • Skilled at breaking down complex, ambiguous, or changing problems into clear product strategies and functional requirements., • Familiar with deep learning concepts, agile development methodologies (e.g., Agile, Scrum), and the regulatory environment (FDA, HIPAA, and global guidelines)., • Comfortable working cross-functionally including AI, clinical, engineering, sales, regulatory, and marketing teams., • 12+ years in product and portfolio management, with hands-on experience launching AI-driven healthcare solutions, or clinical SaaS., • Experience leading cross-functional project teams including AI, clinical, engineering, sales, regulatory, and marketing teams., • Prior experience in the cardiovascular field with base knowledge of cardiovascular disease to be able to engage in thoughtful discussion with key stakeholders., • Track record of driving strategic ideas and larger roadmap goals while independently defining selected methods and procedures. CO: $219,000 - $270,000 NY: $230,000 - $299,000 *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.). Each role at Cleerly has a defined salary range based on market data and company stage. We typically hire at the lower to mid-point of the range, with the top end reserved for internal growth and exceptional performance. Actual pay depends on factors like experience, technical depth, geographic location, and alignment with internal peers. Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. By submitting your application, you agree to receive SMS messages from Cleerly recruiters throughout the interview process. Message frequency may vary. Message and data rates may apply. You can STOP messaging by sending STOP and get more help by sending HELP. For more information see our Privacy Policy (). All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

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 DescriptionAbout Us:Live experiences help people cross today's digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.About the Role We're looking for a highly analytical and business-savvy Senior Pricing Data Scientist to join our Pricing Strategy team. In this role, you'll design and execute advanced pricing models, lead experimentation efforts, and uncover insights that power monetization and growth. You'll work cross-functionally with Product, Analytics, Revenue, and Engineering to ensure our pricing strategies are data-driven, rigorously tested, and aligned with customer value. This is a high-impact opportunity for someone who thrives at the intersection of data science, economics, and strategy, and who is passionate about using data to influence pricing, product design, and long-term business outcomes. Key ResponsibilitiesModel Development & Optimization • Design, build, and maintain pricing and demand elasticity models using statistical and machine learning methods., • Leverage behavioral, transactional, and marketplace data to optimize price points, discount strategies, and product bundling., • Develop tools to support scenario modeling, revenue forecasting, and price testing simulations.Experimentation & Testing, • Design A/B and multivariate experiments to test pricing changes, discount strategies, and offer configurations., • Analyze test results with statistical rigor, including significance testing, confidence intervals, and causal inference techniques., • Partner with experimentation platform owners to automate and scale pricing experiments across channels and customer segments.Insight Generation & Strategy Support, • Conduct in-depth analyses of customer willingness to pay, price sensitivity, and competitor pricing strategies., • Deliver insights on monetization opportunities, marketplace dynamics, and revenue optimization levers., • Partner with strategy and product teams to develop recommendations based on model outputs and empirical evidence.Cross-functional Collaboration, • Collaborate closely with Product Managers, Engineers, and Revenue teams to embed pricing intelligence into user experiences., • Translate complex technical findings into actionable business recommendations for stakeholders across the org., • Contribute to roadmap planning, strategic decision-making, and post-launch pricing reviews. What You BringRequired Qualifications • 5+ years of experience in data science, pricing analytics, or quantitative strategy roles., • Advanced proficiency in Python or R, SQL, and statistical modeling techniques., • Strong experience with A/B testing frameworks and causal inference methods (e.g., regression, matching, difference-in-differences)., • Solid understanding of pricing theory, elasticity modeling, and optimization.Skills & Attributes, • Excellent problem-solving and critical thinking skills; able to distill ambiguity into structured analyses., • Business-oriented mindset with the ability to prioritize impact and communicate clearly with non-technical audiences., • Self-starter with a passion for experimentation and continuous improvement.Preferred, • Degree in Data Science, Statistics, Economics, Applied Mathematics, or a related quantitative discipline (Master's or PhD preferred)., • Experience in a consumer-facing marketplace, e-commerce, or SaaS environment., • Familiarity with tools such as Looker, Amplitude, dbt, or in-house experimentation platforms. Why This Role Matters Your work will help define how we price, scale, and monetize our products. By bringing science and experimentation to our pricing approach, you'll directly impact revenue growth, customer satisfaction, and strategic decision-making. What We can Offer: • Flexible PTO, • Competitive salary & equity package, • Monthly Gametime credits for any event ($1,200/yr), • Medical, dental, & vision insurance, • Life insurance and disability benefits, • Diverse Family-forming benefits through Carrot Fertility, • 401k, HSA, pre-tax savings programs, • Company off-sites and meet-ups, • Wellness programs

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 Materials Scientist with expertise in artificial intelligence (AI) and materials research to join our innovative team at the forefront of interdisciplinary research. In this role, you will leverage AI 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., • 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., • Familiarity with one or more software languages (Python, C++, MATLAB, etc.)Pluses, • Experience with AI-driven materials research, including machine learning models for materials property prediction, materials informatics, and data-driven materials discovery., • 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, • 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., • A mission: an opportunity to fundamentally change the way humanity makes progress through materials science discovery.+ Equity + Benefits; base pay offered may vary depending on job-related knowledge, skills, and experience.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 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 Description Location: New York City (Near Grand Central Station) Employment Type: Full-time Work Arrangement: Hybrid (3-5 days per week in-person) About the Role Our client, a rapidly growing AI startup with a mission to reinvent the $80B+ market research industry, is looking for a Member of Technical Staff (ML/AI Focus). The client's platform acts as an AI qualitative researcher, transforming customer interviews into quantitative insights. You'll work closely with a founding team of former Lyft and Ro executives to pioneer the intersection of AI and user research. This is a foundational role where you will architect the core AI infrastructure and be critical to their mission of merging qualitative and quantitative research. What You'll Own In your first year, you will: • Own the development of synthetic user capabilities., • Design scalable AI pipelines to handle thousands of user interviews., • Explore and execute model fine-tuning opportunities for interview analysis and insight generation., • 4+ years of professional ML/AI engineering experience, or a recent PhD with relevant research., • Prior research experience is highly valued., • Salary: $120K - $250K, • Equity: 0.3% - 2%, • Work Policy: Hybrid setup (3 to 5 times per week in-person in NYC)., • Visa Sponsorship: Not available, except for candidates eligible for quick visas (e.g., Canadian or Mexican citizens). Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Job DescriptionCompany Description Columbia University's Pre-College Programs offer high-achieving high school students the opportunity to engage in exploratory coursework at the college level, studying alongside peers from around the world. This highly selective program is open to students entering grades 9 and through the summer following their senior year. Job Description Columbia University’s Pre-College Programs for high school students is seeking qualified candidates to develop and teach on-campus courses during Summer ’26. Reporting to the Senior Director of Instruction and Curriculum for Pre-College Programs, Pre-College instructors develop and deliver immersive non-credit courses for high-achieving high school students. They guide and supervise students when classes are in session, and write a holistic evaluation of each course participant after classes conclude. For more information on the program–including course sessions and times–please see here. Course Description The field of biology has expanded rapidly over the past fifty years. New discoveries are happening almost every day. In this course we explore the basic elements of molecular biology, genetics, and evolution and how these sciences affect modern medicine, agriculture, and ecology. The course begins with a full description of the structure, function, and synthesis of DNA, RNA, and proteins. Students then apply this information to a wide range of topics such as modern biological research techniques, data interpretation, genetic engineering, immunology, cancer, and virology. The course also includes mini-units on bioethics and the biology of global warming, and we connect modern biology to fields such as anthropology, history, and economics. A variety of group activities, online labs, and videos supplement the student experience. Please note, this course does not include a wet lab component. Approximately a third of the material covered in this course will already be familiar to students who have taken AP Biology. Course Schedule(s) Session A: 9:10 - 11:00am & 1:10 - 3:00pm OR 11:10am - 1:00pm & 3:10 - 5:00pm Session B: 9:10 - 11:00am & 1:10 - 3:00pm Session C: 9:10 - 11:00am & 1:10 - 3:00pm Please note: Course(s) and course availability are subject to change. All times shown are Eastern Time (ET). Dates and class times are tentative and subject to change. Responsibilities: * Develop course content, syllabus, lesson plans, and assigned work, in accordance with Pre-College templates and regulations * Lead and attend all class sessions, including escorting students to and from campus for field trips * Establish and maintain a dynamic in-class environment tailored for our high school population * Evaluate student work and write a holistic evaluation of each participant after the course ends * Monitor and address student concerns and inquiries (typical class size is 20-24 students) * Attend and complete all required online trainings Qualifications • Graduate degree or equivalent professional or academic background, • Expertise in the pertinent subject matter, • Aptitude for teaching Additional Information Hiring Salary Ranges: * Session A & B (Campus, 3 Week): $7,000 - $9,000 * Session C (Campus, 1 Week): $3,000 - $3,500 Please specify which session(s) you would be interested in teaching in the Message to Hiring Manager field. * Please submit a resume inclusive of teaching experience as well as formal teaching evaluations (if available) * Applicants must have U.S. work authorization and will need to be in the U.S. while teaching * Columbia Affiliates: There may be restrictions when hiring individuals who hold a concurrent appointment at Columbia University during the Summer term. Generally, PhD students and Officers of Research are not eligible. Please check with us during the hiring process regarding your eligibility. Please note, Pre-College courses do not count towards the maximum course loads for adjuncts. * Once hired, applicants are required to submit to a third party background check and complete Protection of Minors training in addition to other training(s) mandated by the University and Pre-College Program All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity Employer / Disability / Veteran

Job Description Who We Are: Oppenheimer & Co. Inc. (“Oppenheimer”) is a leading middle-market investment bank and full-service broker-dealer. With roots tracing back to 1881, the Company is engaged in a broad range of activities in the financial services industry, including retail securities brokerage, institutional sales and trading, investment banking (both corporate and public finance), equity & fixed income research, market making, trust services and investment advisory and asset management services. Job Description: The firm is currently seeking a Senior Research Associate to join our Biotechnology equity research team. The position is located in New York City. As a Research Associate, you will work directly with the Senior Research Analyst on many aspects of the research process including: building and maintaining financial models, performing fundamental analysis and due diligence on biopharmaceutical companies, writing investment-driven research reports, developing and fielding industry surveys, attending medical and scientific conferences, and undertaking a wide array of industry analyses and competitive assessments. The associate will have broad exposure to company management and investor conferences, and will interface with key opinion leaders, institutional investor clients, and internal sales force and trading personnel. Our ideal candidate has an undergraduate degree in a related field of study, including biology, chemical engineering, biochemistry, biomedical engineering, biotechnology, molecular biology, genetics, or pharmacology. An advanced degree (MSc, PHd, MBA) is required. Minimum of two years of sellside equity research experience is required. The ideal candidate pays excellent attention to detail, is skilled at time management, has a strong work ethic, effective oral and written communication skills, and an outstanding academic record. A strong candidate is independently motivated, analytically-minded, and intellectually curious; possesses at least some experience with financial modeling and exposure to the equity markets; and, has a passion for life sciences investing. We look for people who possess the following characteristics: • Exceptional academic background., • A thorough understanding of the investment process and the ability to perform deep primary research., • Excellent quantitative and financial modeling skills. Associates are responsible for building and maintaining company financial models and for organizing and updating industry data., • Strong writing skills. Associates are responsible for authoring equity research reports, company initiations, industry reports, and marketing presentations—sometimes under tight time constraints., • Responsiveness, professionalism, and the ability to manage priorities to meet deadlines., • Experience in biopharmaceuticals equity research, drug development, or related field preferred., • Proficiency in Microsoft Office; FactSet, Bloomberg would be a bonus. For job postings in New York State, Oppenheimer is required by law to include a reasonable estimate of the salary range for this role. This salary range is specific to the State of New York and takes into account the wide range of factors that are considered in making salary decisions including but not limited to your skills, qualifications, experience, licensure and certifications, and other business and organizational needs. A reasonable estimate of the current base salary range is $150,000.00 - $200,000.00 at the time of this posting. Also, certain positions are eligible for additional forms of compensation such as discretionary bonus

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 Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny’s Podcast Forbes AI 50 Fast Company Our Investors We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. ** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the Role: As a member of our Data Science staff, you’ll own end-to-end measurement by defining north-star metrics, architecting rigorous experiments, and converting insights into roadmap-shaping decisions. You’ll partner with Product, Design, and Engineering to elevate instrumentation and data quality and deliver quantified recommendations that improve activation, engagement, retention, and revenue. Key Responsibilities: * Lead analysis and exploration to uncover trends in product and user behavior and prioritize the highest leverage opportunities * Design and evaluate rigorous A/B tests and set success criteria and power and guardrails and deliver clear post experiment readouts * Collaborate with cross functional leaders to define core metrics and establish data driven goals for product experimentation * Develop and maintain analytical models and reproducible pipelines that support full funnel analytics * Apply statistical techniques to identify patterns and opportunities in large datasets and quantify expected impact and risk * Create executive ready visualizations and dashboards that drive alignment and action among stakeholders * Embed with designers and engineers to guide instrumentation and ensure data informed decisions throughout the product lifecycle * Provide recommendations to improve user experience and conversion and overall product performance and track realized impact * Stay current on industry trends and emerging technologies in analytics and introduce pragmatic improvements to tools and methods Requirements: * 5+ years as a data scientist or in a similar role with a focus on product analytics * High proficiency in SQL and either Python or R for data manipulation, analysis, and modeling * Expertise in statistical analysis, hypothesis testing, and experimental design for A/B testing and product experimentation * In-depth knowledge of data visualization tools and techniques to effectively communicate insights and storytelling * Strong analytical thinking and problem-solving skills, with the ability to translate complex data into actionable recommendations * Strong written and verbal communication skills and the ability to partner with cross-functional teams to build a great business Bonus Points: * Master’s or PhD in a quantitative field (Statistics, Mathematics, Computer Science, or related) * Full-funnel analytics experience, including data collection, cleaning, transformation, analysis, and performance measurement * Familiarity with modern data warehousing and large-scale data processing; comfortable working with very large datasets and distributed computing frameworks Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only. Compensation Range: $160K - $220K

Job Description Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny’s Podcast Forbes AI 50 Fast Company Our Investors We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. ** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the Role As an expert in making AI models run fast—really fast—you live at the intersection of CUDA, PyTorch, and generative models, and get excited by the idea of squeezing every last bit of performance out of modern GPUs. You will have the opportunity to turn our cutting-edge video generation research into scalable, production-grade systems. From designing custom CUDA or Triton kernels to profiling distributed inference pipelines, you'll work across the full stack to make sure our models train and serve at peak performance. Key Responsibilities * Optimize model training and inference pipelines, including data loading, preprocessing, checkpointing, and deployment, for throughput, latency, and memory efficiency on NVIDIA GPUs * Design, implement, and benchmark custom CUDA and Triton kernels for performance-critical operations * Integrate low-level optimizations into PyTorch-based codebases, including custom ops, low-precision formats, and TorchInductor passes * Profile and debug the entire stack—from kernel launches to multi-GPU I/O paths—using Nsight, nvprof, PyTorch Profiler, and custom tools * Work closely with colleagues to co-design model architectures and data pipelines that are hardware-friendly and maintain state-of-the-art quality * Stay on the cutting edge of GPU and compiler tech (e.g., Hopper features, CUDA Graphs, Triton, FlashAttention, and more) and evaluate their impact * Collaborate with infrastructure and backend experts to improve cluster orchestration, scaling strategies, and observability for large experiments * Provide clear, data-driven insights and trade-offs between performance, quality, and cost * Contribute to a culture of fast iteration, thoughtful profiling, and performance-centric design Required Qualifications * Bachelor's degree in Computer Science, Electrical/Computer Engineering, or equivalent practical experience * 3+ years of hands-on experience writing and optimizing CUDA kernels for production ML workloads * Deep understanding of GPU architecture: memory hierarchies, warp scheduling, tensor cores, register pressure, and occupancy tuning * Strong Python skills and familiarity with PyTorch internals, TorchScript, and distributed data-parallel training * Proven track record profiling and accelerating large-scale training and inference jobs (e.g., mixed precision, kernel fusion, custom collectives) * Comfort working in Linux environments with modern CI/CD, containerization, and cluster managers such as Kubernetes Preferred Qualifications * Advanced degree (MS/PhD) in Computer Science, Electrical/Computer Engineering, or related field * Experience with multi-modal AI systems, particularly video generation or computer vision models * Familiarity with distributed training frameworks (DeepSpeed, FairScale, Megatron) and model parallelism techniques * Knowledge of compiler optimization techniques and experience with MLIR, XLA, or similar frameworks * Experience with cloud infrastructure (AWS, GCP, Azure) and GPU cluster management * Ability to translate research goals into performant code, balancing numerical fidelity with hardware constraints * Strong communication skills and experience mentoring junior engineers Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only. Compensation Range: $215K - $300K

Job Description Mission 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 2025 Design Award winner for Inclusivity. 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 We are looking for AI Infrastructure engineer to help build and scale the infrastructure that powers our machine learning initiatives. In this role, you will design, develop, and optimize the core platforms and services that enable data scientists and ML engineers to train, deploy, and monitor models efficiently. You'll partner closely with Data Science, Data Engineering, and Product teams to create a robust, self-service ML ecosystem that accelerates innovation. What You'll Do Build & Scale AI Infrastructure: Design, implement, and maintain high-performance ML training and inference platforms. Develop MLOps Tools: Ship tools that allow any ML engineer to deploy a model in minutes, not days. Optimize Performance: Improve scalability, reliability, and cost efficiency of model training and serving systems. Collaborate Across Teams: Partner with researchers to turn experimental voice models into production-ready systems. Ensure Best Practices: Establish standards for model versioning, testing, monitoring, and governance. Drive Automation: Automate data/model pipelines to reduce manual intervention and speed up experimentation. • Experience: 3+ years in Software Engineering or ML Platform/Infrastructure roles, with a focus on distributed systems, cloud services, or MLOps., • Technical Expertise: Proficiency in Python (or similar), containerization (Docker, Kubernetes), CI/CD pipelines, Kubernetes, Cloud proficiency, • Strong knowledge of cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (Terraform, CloudFormation)., • Experience with ML frameworks (TensorFlow, PyTorch, or similar) and orchestration tools (Kubeflow, Airflow, MLflow)., • Deep understanding of data pipelines, model deployment, real-time inference systems, and reliability of AI systems, • Strong communication skills and the ability to work across engineering and data science teams., • Experience with feature stores, vector databases, or large-scale model training., • Familiarity with streaming data technologies (Kafka, Spark Streaming, Flink)., • Knowledge of monitoring/observability tools (Prometheus, Grafana, Datadog)., • Contributions to open-source ML/MLOps projects., • GPU optimization (TensorRT, ONNX, vLLM, Triton), • Experience with low-latency audio/streaming systems, • A dynamic environment where your contributions shape the company and its products, • A team that values innovation, intuition, and drive, • Autonomy, fostering focus and creativity, • The opportunity to have a significant impact in a revolutionary industry, • Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture, • The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more 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 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. This position will also support our multi-faceted Data Center Practice, providing leadership and expertise across planning, analysis, and implementation. We work with utilities, policymakers, and data center operators, requiring a deep understanding of the interdependencies between these sectors. 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, • Experience with large electrical loads or data center projects is highly preferred, • 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 Description Enabling safe and rewarding digital lives for genuine people, everywhere We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification. With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live. About the team and role Data Scientist, Go-to-Market Analytics Join GBG's Go-to-Market data science team and shape the future of how we demonstrate value to our prospective customers! In this role, you’ll help improve the critical process of analyzing customer evaluations, transforming raw data into compelling ROI narratives and business cases that directly influence purchasing decisions. You’ll play a pivotal role in automating insights from data studies, accelerating deal closures, and enhancing product intelligence. This is a unique opportunity to blend analytical rigor, strategic thinking, and customer interaction. This is a remote position with a strong preference for candidates in the Atlanta metropolitan area. Travel for team collaboration, process workshops, and stakeholder meetings may be required (estimated 20-25%). What you will do Customer Evaluation Analytics • Translate customer evaluation data into clear, compelling insights that demonstrate solution value to prospective customers, • Support the development of standardized ROI frameworks to quantify business impact across customer profiles, • Assist in creating automated reports that showcase key findings and value propositions for prospective customer presentations Process Automation & Scale • Build templated analyses that can be adapted for different industries and customer segments, • Contribute to automating analytical workflows to reduce manual effort and improve consistency, • Support the design of scalable processes that align with the organization’s growth and evolving needs Product Intelligence & Feedback Loops • Aggregate insights across customer evaluations to uncover market trends and strategic opportunities, • Help establish feedback loops that channel customer insights to the Product team for product enhancement Skills we are looking for Technical Foundation • 3+ years of hands-on experience in data science, with demonstrated success in customer-facing analytics or process automation roles, • Expert proficiency in Python/R, SQL, and statistical analysis libraries (pandas, scikit-learn, etc.), • Experience with data visualization tools (Quicksight, Tableau, Power BI, or similar), • Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data stack tools, • Masters of PhD (preferred) in Data Science or equivalent Bonus Qualifications • Sales engineering or customer-facing technical role experience, • Domain expertise in identity verification, fraud detection, and/or financial services, • Experience presenting technical findings to prospects or clients during sales processes Business Acumen • Experience analyzing customer data and translating technical findings into compelling business narratives, • Knowledge of statistics, predictive modeling, and ROI calculation frameworks, • Ability to create presentations that communicate value propositions to both technical and business stakeholders, • Familiarity with cross-functional collaboration processes Professional Qualities • Initiative and ownership - You identify problems and solve them without being asked, • Automation mindset - You are eager to support scalable, repeatable processes for data analysis, • Communication skills - You can present complex findings to both technical and business audiences, • Collaboration - You work effectively with cross-functional teams and build strong relationships Benefits To find out more As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process. To chat to the Talent Attraction team and find out more about our benefits and why we’re a great place to work, drop an email to and we’ll be in touch. You can also find out more about careers at GBG and check out our current opportunities at gbgplc.com/careers.

Job DescriptionWhy 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. In California, Hawaii, and New York, we are advising state agencies and regulators about how to implement clean energy policies with an emphasis on customer incentives and markets. 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: Hybrid work schedule from San Francisco, Boston, New York, Denver, Calgary. Remote work may also be considered 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 including 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 Role The 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 clearly, • Passionate 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

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 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:We are seeking highly motivated plasma physicists to join our team, focusing on analysis and simulation of the divertor region of a stellarator magnetic field. The ideal candidate will possess a strong background in plasma physics, with a particular emphasis on plasma fluid models, neutral particle models, and/or atomic processes within a plasma. Experience with the boundary of fusion devices is a plus. You will work with an exciting and dynamic team, contributing to cutting-edge research and development in Thea Energy’s stellarator systems.Key responsibilities: • Develop and implement algorithms for the simulation of fluid plasma within a complex magnetic edge topology., • Conduct simulations and analysis of collisional edge plasma in stellarators, coupled with neutral-particle and atomic physics models., • Collaborate with cross-disciplinary teams to design a stellarator divertor system., • Perform data analysis, model validation, and provide insights into the physical mechanisms governing plasma behavior., • Prepare technical reports, presentations, and publications based on simulation results and optimization findings., • Stay up to date with the latest advancements in computational plasma physics, fusion energy, and optimization techniques. Required Experience & Skillsets:, • PhD in Plasma Physics, Computational Physics, Applied Physics, or a related field, or bachelor’s degree in a relevant field with 5+ years of experience or master’s degree in relevant field with 2+ years of experience., • Strong knowledge of computational plasma physics and numerical simulations., • Experience with the boundary of fusion devices, especially stellarators, is a plus., • Proficiency in programming languages commonly used in scientific computing (e.g., Python, Fortran, C++, or MATLAB)., • Familiarity with simulation tools used in plasma physics research., • Excellent analytical, problem-solving, and communication skills., • Ability to work independently and manage projects., • Strong attention to detail and a passion for advancing the field of fusion energy research., • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally.Ideal Experience & Skillsets:, • Experience with edge plasma models such as SOLPS, UEDGE, EMC3-EIRENE., • Experience on a plasma physics experimental device, ideally a large stellarator or tokamak experiment., • Understanding of plasma fluid models and neutral particle models., • Familiarity with Plasma-Material Interactions., • Experience in high-performance computing (HPC) environments.Company Benefits:, • Salary range $110,000-$160,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job Description We are Rokt, a hyper-growth ecommerce leader. Rokt is the global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt’s AI Brain and ecommerce Network powers billions of transactions connecting hundreds of millions of customers, and is trusted to do this by the world’s leading companies. We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue—and often all their profits—from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation. The Rokt engineering team builds intelligent infrastructure and platforms that power mission-critical services. At this scale, excellence in reliability, performance, and developer experience is non-negotiable. At Rokt, we practice transparency in career paths and compensation. At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible. We are looking for a Senior Data Scientist (Identity & Attribution) Total Compensation between: $300,000-$375,000, which includes a fixed annual salary between $200,000 - $250,000, employee equity plan grant & world class benefits. Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility. About the Role: As a Senior Data Scientist on the Identity team, you’ll play a critical leadership role in building scalable systems and models that power identity and attribution — tackling problems like entity resolution, data enrichment, and real-time user matching. You will drive data-driven strategies, lead complex analyses for entity resolution, and collaborate cross-functionally to enhance the quality, effectiveness, and scalability of our identity systems. • Spearhead complex analyses applying advanced statistical methods and machine learning techniques to large-scale identity data, uncovering actionable insights to to significantly improve the effectiveness and quality of our attribution and user graph systems, including but not limited to identity., • Independently identify, scope, and champion high-impact opportunities for innovation within the identity space, developing novel analytical approaches and data-driven strategies., • Test and run experiments to determine impact on model relevancy., • Define key metrics for tracking the health and performance of identity systems; Design, build, and maintain robust data pipelines to support machine learning model deployment and large-scale data processing for identity use cases, • Conduct proactive analysis, modeling, and automation of improvements to entity resolution in areas such as geography, linkage, fraud detection, and risk assessment., • Partnering closely with product and engineering teams to develop the strategy for evolving our identity graph. About You: • 6+ years of industry experience as a Data Scientist (or 3+ years with a PhD), including significant work with identity, fraud, or security data, • Master’s degree in Statistics, Econometrics, Machine Learning, or related fields., • Demonstrated project leadership, mentorship, and ability to tackle highly ambiguous technical and business problems, • Strong knowledge of online AB testing and experimentation, • Strong knowledge of Python 3 (data science libraries) and SQL;, • Experience with distributed computing frameworks, particularly Spark is preferred, • Experience with Kubeflow is preferred, • Understands prompts for AI and is comfortable with using AI to improve day to day productivity, • Experience with large-scale data science projects in identity, attribution, fraud, or related areas (e.g., authentication, user verification, risk scoring, graph-based linking), • Strong analytical / modeling experience tied to business outcomes, • Applied use of visualization tools such as matplotlib, seaborn, tableau, Python visual libraries, • Experience with common Python data science libraries such as pandas, numpy and scipy About Rokt’stars: As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock real-time relevancy in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks, or challenge the status quo; in doing so we either win or learn. We work together as one aligned team never letting egos get in the way of brilliant ideas. We value diversity, transparency, and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better. About the Benefits: We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it: • Become a shareholder. Every Rokt’star gets equity in the company, • Enjoy catered lunch every day and healthy snacks in the office., • Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and great health benefits for you and your dependents., • Dog-friendly office, • Extra leave (bonus annual leave, sabbatical leave etc.), • Work with the greatest talent in town We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team.

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 DescriptionRole Overview 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 science practice. You’ll partner directly with leadership, own the roadmap for th products, and help spin out a high-growth AI startup from within our organization. Key Responsibilities • Technical Leadership: Define and execute the end-to-end AI/LLM technical strategy—from data ingestion and model selection to fine-tuning, scaling, and deployment., • Product Development: Collaborate with product management to translate market needs into AI features; prototype rapidly and move to production., • Team Building: Recruit, mentor, and manage data scientists, ML engineers, and AI researchers. Establish best practices for MLOps, A/B testing, and monitoring., • Incubation & Operations: Set up infrastructure, tooling, and processes to support agile experimentation and continuous iteration within the incubator., • Stakeholder Alignment: Present technical plans, milestones, and trade-offs to executive sponsors; coordinate with legal, security, and compliance for data governance., • Go-to-Market Support: Work alongside go-to-market teams to craft demos, pilot programs, and proofs-of-concept that showcase our LLM capabilities to early customers., • Equity & Ownership: Act as a true co-founder with an equity stake—aligning long-term incentives on growth, fundraising, and exit strategies. Required Qualifications • Proven Co-Founder/Leadership Experience: Founded or co-founded at least one AI or data-centric startup, or led a ground-up AI initiative with demonstrable impact., • Deep Data Science Expertise: Example: Master’s or PhD in Computer Science, Statistics, or related field; 3+ years in data science or ML engineering roles., • LLM Mastery: Hands-on experience fine-tuning, evaluating, and deploying large-language models (e.g., GPT, LLaMA, Mistral) at scale., • Production-Grade ML Ops: Expertise with infrastructure (Kubernetes, Docker), data pipelines (Airflow, Prefect), and model-serving frameworks (TensorFlow Serving, TorchServe)., • Cross-Functional Collaboration: Track record partnering with product, design, and commercial teams to ship AI-driven features under tight timelines., • Fundraising Savvy: Comfortable presenting technical vision to investors and participating in pitch decks, due diligence, and board meetings. Preferred Experience • Successful exit or fundraising round in an AI-focused venture, • Open-source contributions in NLP or ML communities., • Familiarity with prompt engineering frameworks and evaluation metrics for generative AI. What We Offer • Equity & Co-Founder Status: Significant founder equity in the new venture alongside a competitive salary., • Autonomy & Resources: Backing from our parent company’s engineering, design, and go-to-market teams plus a dedicated R&D budget., • Growth & Impact: A rare opportunity to incubate a cutting-edge business from day one and shape the future of AI within a growing organization.

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 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 DescriptionKey Responsibilities: • Design, develop, and maintain low-latency, high-throughput trading applications in Java., • Optimize critical code paths for ultra-low latency and high availability., • Implement multithreaded, concurrent, and distributed systems that handle large volumes of market data and order flow., • Work closely with quants, traders, and infrastructure teams to deliver performant and reliable systems., • Conduct performance tuning, profiling, and garbage-collection optimization, • Develop connectivity solutions to exchanges, ECNs, and brokers using FIX and other protocols., • BSc/MSc/PhD in Computer Science, Physics, Engineering or similar, • 8+ years of hands-on expertise with Core Java (Java 8/11/17+), • Previous exposure to trading environments (hedge fund, prop shop, or bank) preferred, • Proven experience with low-latency systems, multithreading, and concurrency control., • Solid understanding of network programming (TCP, UDP, multicast) and OS-level performance tuning (Linux)., • Experience with garbage collection tuning, memory management, and lock-free programming., • Knowledge of messaging frameworks, • Familiarity with FIX protocol, market data feeds, and electronic trading systems., • Exposure to scripting languages (Python, Bash) for automation and data analysis.