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Model Validation Analyst – Corporate & Investment Banking Country: United States of America Your Journey Starts Here: Santander is a global leader and innovator in the financial services industry. We believe that our employees are our greatest asset. Our focus is on fostering an enriching journey that empowers you to explore diverse career opportunities while nurturing your personal growth. We are committed to creating an environment where continuous learning and development are prioritized, enabling you to thrive both professionally and personally. Here, you will find ample opportunities to connect and collaborate with talented colleagues from around the world, sharing insights and driving innovation together. Join us at Santander, where you are supported by a culture of engagement and a commitment to your success. An exciting journey awaits, if you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: The Sr. Analyst, Model Risk will be responsible for performing independent validation of models and expert judgement models used by the bank in conformance with regulatory guidance on model risk SR11-07. This individual’s responsibility includes performing model validations, from input data, model methodology, model outcome, usage and related controls and governance around model risk. This role involves internal communication with business and model development and external with vendors and third-party servicers. Furthermore, this individual is expected to take the day-to-day model risk governance responsibilities such as ongoing performance monitoring, orderly remediation of findings, and model annual reviews. * Evaluates model assumptions and weaknesses, prepares reports describing the results of the validation analyses and list the recommendations for addressing any issues identified. * Conducts robust validations of a wide variety of models against established standards, developing benchmark, challenger, and replication models where applicable. * Advises senior personnel in their communications with risk committees, auditors, regulators, and senior management regarding model risk and its potential effects on the risk profile of the bank. * Manages the resolution of findings with model owners and developers. * Reviews ongoing model performance, assesses overall model health within a given framework, identifies potential problems and works with stakeholders to resolve issues identified. * Partners with model owners and developers to understand the business context for model use, producing technical guidance and adding value to the business process. * Develops and executes initiatives such as researching new trends in modeling and approaches to the management of associated model risk. What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. * Bachelor's Degree in Statistics, Mathematics, Economics or equivalent quantitative discipline or equivalent work experience. - Required. * An advanced degree, masters/PhD in a quantitative discipline such as Financial Engineering, Mathematics, Physics, Quantitative Finance, Economics, Statistics, or other relevant field of study. - Preferred. * 3+ years of experience in Model Validation and/or Model Risk Management function at a large corporate and investment bank. * Detailed familiarity with advanced quantitative analysis and applied statistical techniques in relevant asset/liability categories, including regression, time series forecasting, econometric modelling, PCA analysis, data mining, survival analysis, sensitivity, back-testing, model performance measurement * Familiarity with QRM, ADCo and Intex or similar systems. - Preferred. * Sound knowledge of financial numerical methods/PDEs, stochastic calculus, and option pricing * Programming capabilities: Hands on programming skills required in common programming languages and packages like R, Python, Matlab, and SAS etc. * Ability to apply mathematical and statistical skill in a highly practical way to solve problems * Ability to work with senior management and other stakeholders * Outstanding time and stress management skills, team-work spirit. As a responsible level the team member should be a self-starter and need minimal direction from managers in pursuing projects. Certifications: * No Certifications listed for this job. It Would Be Nice For You To Have: * Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. * Experience in Microsoft Office products. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Minimum: $67,500.00 USD Maximum: $140,000.00 USD Link to Santander Benefits: Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next: If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at ___ to discuss your needs. Primary Location: New York, NY, New York Other Locations: New York-New York Organization: Santander Holdings USA, Inc.

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.

Are you an experienced Statistician with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Statistician to work at their company in Rahway, NJ. Primary Responsibilities/Accountabilities: • Develop study design (DOE), statistical analysis, and reported output using in-house developed JMP tools in fast-paced, critical path projects., • Participate in process characterization teams to understand requirements to design study experiments and discuss results. Experiment design entails having joint conversations with the Process scientists/engineers to discuss the issues and constraints on study design and execution., • Work with Process Scientists/Engineers to complete study reports as needed. Qualifications: • Minimum education: Master's in statistics/biostatistics or related discipline (e.g., chemical, industrial engineering) with a minimum of 2 years’ experience, or PhD or equivalent degree with a minimum of 1 year relevant work experience., • Proven experience applying DOE to real-life process development problems., • Solid knowledge of statistical analysis methodologies and experimental design., • Strong hands-on experience with JMP and working knowledge of other statistical and data processing software (e.g., Minitab), • Must also demonstrate the ability to learn, be proactive and motivated, and consistently focus on details and execution., • Strong oral and written communication skills. Able to function effectively in a team environment., • Exposure working with other scientists – the candidate must be willing to have a regular dialogue with team members., • Experience with Design of Experiments., • Preferred would be someone who has experience in the industry- Bio-pharma/Medical device/ Pharma-internships-actual co-op with the companies/industry for a minimum of 2 years., • This is a hands-on project facing an opportunity., • Industrial engineer/Chemical engineer background, • DOE experience and statistical analysis, • Process development., • Industry: Medical device/ Pharma-internships-actual co-op with the companies/industry for a minimum of 2 years.

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.

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 Sinais 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 Computings 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 Sinais 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 Reports Best Childrens Hospitals ranks Mount Sinai Kravis Children's Hospital among the countrys 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. Newsweeks The Worlds 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

Obra Capital is seeking a Quantitative Research Analyst to join our growing Leveraged Finance team. Master's or PhD degree in financial mathematics, computer science, engineering, operations research, mathematics, physics or other quantitative disciplines preferred.

Walrus is led by PhD computer scientists and security researchers, with decades of experience in engineering, cybersecurity, and cryptography, and many research accomplishments at Harvard, Stanford, MIT, the University of Chicago, Columbia, UTexas, and NYU.

A leading Tier-1 Hedge Fund is seeking a Quantitative Researcher to support its energy-focused portfolio management team. Master's or PhD in Operations Research, Electrical Engineering, Applied Mathematics, or a related quantitative discipline.

Currently enrolled in university, pursuing a?PhD in statistics, biostatistics, bioinformatics, biomedical engineering, data science, or other closely related field.

The successful candidate will work in a multidisciplinary team of senior and junior scientists in materials science. Candidates must have a PhD in materials science, chemistry, chemical engineering and relevant disciplines.

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

PhD in Computer Science, Computer Engineering, Human-Computer Interaction, Human-Centered Computing, Cognitive/Experimental Psychology, Cognitive Science, Kinesiology, Biomedical Engineering, Industrial Engineering, Human Factors, Mechanical Engineering, Robotics or a closely related scientific or e

Model Validation Analyst – Corporate & Investment Banking Country: United States of America Your Journey Starts Here: Santander is a global leader and innovator in the financial services industry. We believe that our employees are our greatest asset. Our focus is on fostering an enriching journey that empowers you to explore diverse career opportunities while nurturing your personal growth. We are committed to creating an environment where continuous learning and development are prioritized, enabling you to thrive both professionally and personally. Here, you will find ample opportunities to connect and collaborate with talented colleagues from around the world, sharing insights and driving innovation together. Join us at Santander, where you are supported by a culture of engagement and a commitment to your success. An exciting journey awaits, if you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: The Sr. Analyst, Model Risk will be responsible for performing independent validation of models and expert judgement models used by the bank in conformance with regulatory guidance on model risk SR11-07. This individual’s responsibility includes performing model validations, from input data, model methodology, model outcome, usage and related controls and governance around model risk. This role involves internal communication with business and model development and external with vendors and third-party servicers. Furthermore, this individual is expected to take the day-to-day model risk governance responsibilities such as ongoing performance monitoring, orderly remediation of findings, and model annual reviews. * Evaluates model assumptions and weaknesses, prepares reports describing the results of the validation analyses and list the recommendations for addressing any issues identified. * Conducts robust validations of a wide variety of models against established standards, developing benchmark, challenger, and replication models where applicable. * Advises senior personnel in their communications with risk committees, auditors, regulators, and senior management regarding model risk and its potential effects on the risk profile of the bank. * Manages the resolution of findings with model owners and developers. * Reviews ongoing model performance, assesses overall model health within a given framework, identifies potential problems and works with stakeholders to resolve issues identified. * Partners with model owners and developers to understand the business context for model use, producing technical guidance and adding value to the business process. * Develops and executes initiatives such as researching new trends in modeling and approaches to the management of associated model risk. What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. * Bachelor's Degree in Statistics, Mathematics, Economics or equivalent quantitative discipline or equivalent work experience. - Required. * An advanced degree, masters/PhD in a quantitative discipline such as Financial Engineering, Mathematics, Physics, Quantitative Finance, Economics, Statistics, or other relevant field of study. - Preferred. * 3+ years of experience in Model Validation and/or Model Risk Management function at a large corporate and investment bank. * Detailed familiarity with advanced quantitative analysis and applied statistical techniques in relevant asset/liability categories, including regression, time series forecasting, econometric modelling, PCA analysis, data mining, survival analysis, sensitivity, back-testing, model performance measurement * Familiarity with QRM, ADCo and Intex or similar systems. - Preferred. * Sound knowledge of financial numerical methods/PDEs, stochastic calculus, and option pricing * Programming capabilities: Hands on programming skills required in common programming languages and packages like R, Python, Matlab, and SAS etc. * Ability to apply mathematical and statistical skill in a highly practical way to solve problems * Ability to work with senior management and other stakeholders * Outstanding time and stress management skills, team-work spirit. As a responsible level the team member should be a self-starter and need minimal direction from managers in pursuing projects. Certifications: * No Certifications listed for this job. It Would Be Nice For You To Have: * Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. * Experience in Microsoft Office products. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range Minimum: $67,500.00 USD Maximum: $140,000.00 USD Link to Santander Benefits: Santander Benefits - 2025 Santander OnGoing/NH eGuide (foleon.com) Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next: If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs. Primary Location: New York, NY, New York Other Locations: New York-New York Organization: Santander Holdings USA, Inc.

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 Design award winner for inclusivity for 2025. 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 Android app, being the most used text-to-speech app in the Play Store, we find the need for a Senior Android Engineer to help us support the new user base as well as work on new and exciting projects to push us 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 • Owning major features and working closely with our design team - take ownership of features inside the app and become responsible of delivering high quality features, • Shape the future of our Android team, • Own, maintain and improve reliability metrics for key features, • Participate in discussions across different teams - Product, Design, Engineering, • Review pull requests, and support other teammates, • Handle critical issues or cope with unexpected challenges, • 5+ years of software engineering experience, • Familiarity with Android components, • Experience building or contributing to at least one Android app, • Product design intuition and user empathy, • Drive to push the boundaries of Android UI/UX, • Understanding of the importance of tests and how to approach writing tests, • Self-drive to improve the app and codebase above and beyond what's outlined in the spec, • Rock solid experience with Kotlin, Kotlin Coroutines, Kotlin Flow, Dagger 2, MVVM, Clean Architecture, Background Services, Music Player Service, Android Animations, Jetpack Navigation, JUnit tests, • Excellent communication skills, • User oriented problem solving approach, • Experience building, maintaining, or otherwise contributing to open source projects in Android, • Kotlin, • Kotlin Coroutines, • Kotlin Flow, • Jetpack Navigation, • Dagger 2, • Room, • Custom Views, Canvas & Paint, • Jetpack Compose, • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, 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 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 Description Linguist II : 65286-1 Location: Onsite - New York OR Burlingame OR seattle Duration: 9 months contract - May be extensions Details: We are looking for a Linguist to help us develop language components for a variety of voice-enabled technologies and products. We are seeking candidates with native fluency in Mandarin (Simplified Chinese) with strong linguistic data analysis and language technology experience to manage data collection, LLM-powered data synthesis and data annotation tasks, prompt engineering, localization and quality evaluations. Job Responsibilities: • Provide linguistic expertise in the areas of syntax, semantics, pragmatics and sociolinguistics, • Collaborate with other linguists and data operations teams in data collection, data curation, translation, localization and annotation efforts, • Evaluate and curate data sets for ML models using LLM solutions, • Assess model and data quality, • Prompt engineering, • Collaboratively develop complex and consistent linguistic analyses Required Qualifications • Master’s degree in general Linguistics or Linguistics with an emphasis on Romance languages, Computational Linguistics, Speech Science, or related field, • Native or near-native fluency in Mandarin (Simplified Chinese), and at least another language, • Awareness of Indian languages and their linguistic, cultural, local nuances, • Knowledge of syntax, semantics, pragmatics, sociolinguistics, corpus linguistics, and other areas of linguistics, • Experience working with speech and text data in multiple languages, • Familiar with Large Language Models (LLMs), prompt engineering and their applications • Comfortable working in a fast paced, highly collaborative, dynamic work environment, • Experience with database queries and data analysis processes (i.e. SQL, RegEx, spreadsheets, R, Unix, or others), • Strong organizational skills and detail oriented, • Excellent communication skills both verbal and written Preferred (additional) Qualifications • PhD in Linguistics or Romance languages, language technologies, computational linguistics, speech science, or related field, • Proficient in both Simplified and Traditional Chinese, • Proficiency in Python, • Experience with machine learning frameworks, NLP Libraries and Tools Must-Have Skills: ● Proficient in Mandarin language ● Masters degree is good - bachelors degree with experience ● Data linguistic, RegEx, SQL Nice-to-have Skills: ● Python language Years of Experience: ● 2-3 years of experience ● If they have masters degree and good academic background then no experience is fine ● If someone has bachelor's degree then we need at least 2 years of experience

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 Description Cresilon® is a Brooklyn-based biotechnology company that develops, manufactures, and markets hemostatic medical devices utilizing the company’s proprietary hydrogel technology. The company’s plant-based technology has revolutionized the current standard by stopping traumatic and surgical bleeds in seconds without the need for extended manual pressure. The company's current and future product lines target veterinary, human trauma, and human surgical applications. Cresilon's mission is to save lives. Learn more about the company at . Description: The R&D Engineer I/II is responsible for supporting product design and process development activities while ensuring compliance with all quality and regulatory requirements. The position has a scientific focus that includes implementation of formulation development through process development, prototype fabrication, and characterization, along with additional process evaluation and data generation through designed experiments. Process development in an R&D environment will be followed by qualification and technology transfer into manufacturing. Collaboration is a key aspect of this role, as the engineer will work within a multidisciplinary team of researchers and engineers. The position offers diverse opportunities in a collaborative cross-functional environment, requiring adaptability, flexibility, and a willingness to learn and innovate in the exploration of new technologies, new approaches, and techniques in pursuit of product/process robustness and innovation. The R&D Engineer I/II is expected to possess expertise in areas including, but not restricted to, polymer, chemical, material science, and process development and engineering. Additionally, they will assist in generating documentation essential for regulatory submissions, ongoing publication initiatives, and direct communication with the Head of Research regarding various tasks. This is a full-time, on-site position, located in Brooklyn, New York. This role is an independent contributor role (i.e. no direct reports). Level is dependent on experience. Responsibilities: • Oversee the planning, implementation, and analysis of experiments relevant to project objectives. Ensure the application of established scientific and engineering principles to solve complex problems and challenges innovatively and efficiently, adhering to rigorous scientific methodologies and protocols., • Create and execute product/process enhancement, and new product/process development plans., • Lead material/design/process changes and their implementation with well-documented research/analyses. Process and analyze results,, • Author protocols and reports including engineering studies and design verification/validation activities., • Aid in the development and execution of testing methods to aid in exploratory research, product/process development, and quality control; conduct chemical and mechanical property evaluation tests to assess the desirability of process or formulation changes., • Prepare samples as required for manufacturing, testing, or other evaluations and data analysis., • Participate in voice-of-customer (VOC) labs and other user needs assessments., • Interface with external vendors, customers, and suppliers. Specify equipment and process requirements for developing and implementing new products, product improvement and new equipment/processes., • Support process and product transfers to manufacturing or CDMOs., • Maintain a laboratory notebook and other technical documentation according to required GLP/GMP guidelines., • Understand and prioritize process improvements, design experiments to make those improvements, and execute these plans in the laboratory., • Maintain active dialogue with Regulatory Affairs as subject matter expert on all product design elements/documentation about research towards FDA/regulated authority submissions., • Provide support to the marketing and sales team, with the development of presentations, sales tools, and application data., • Work with company leadership to evaluate existing research practices and contribute to a culture of ethical, high-quality research operations within the organization. Required Qualifications • Education: BS in Chemical Engineering, Polymer Engineering, Material Science & Engineering, or related engineering discipline., • Minimum 4+ years previous experience in an industrial environment with a BS degree. (2 years minimum experience if advanced degrees)., • Proficiency as an adept experimentalist with hands-on experience in the process development of polymeric materials and their characterization in an R&D or manufacturing environment., • Mathematically inclined with strong analytical and problem-solving skills with the ability to be observant and to think creatively. Demonstrated ability to design experiments and analyze data with the use of appropriate quality and statistical methodologies. Demonstrated ability to work independently as well as be a strong team contributor. Ability to effectively work within a team and cross-functionally to expedite the completion of critical project tasks., • Requires understanding of product/process design and engineering. Experience should include process development/validation and/or transfer/verification, protocols, and troubleshooting skills., • Ability to handle multiple project assignments of medium scope and complexity and able to prioritize and complete work with a sense of urgency on time., • Ability to lead directly and by influence, including strong problem-solving, conflict resolution, and analytical skills., • Working knowledge of Good Documentation Practices (GDP) and Good Manufacturing Practices (cGMP) requirements., • Proficiency in the use of Microsoft Office, Microsoft Excel, Microsoft Word, Microsoft PowerPoint is required., • Requires excellent written and verbal communication and presentation skills., • Legal authorization to work in the United States is required., • Physical Requirements include:, • Aseptic Gowning Qualification: Able to be successfully qualified for aseptic gowning, including successful respirator training., • Wear Appropriate Personal Protective Equipment (PPE):, • Be able to stand and walk for prolonged periods, with the ability to climb, balance, stoop, bend, reach, and handle equipment., • Ability to speak, listen, and understand verbal and written communication., • Possesses hand-eye coordination and manual dexterity for delicate manipulations., • Ability to lift up to 50 pounds occasionally and to carry, push, pull, or otherwise move objects., • Visual acuity is required for performing close and distant activities. Preferred Qualifications • An advanced technical degree (MS or PhD)., • ·Lab experience in an industry setting within cGMP-regulated environments., • Prior experience developing processes and scaling these up into manufacturing or CDMO, • Mechanical/electrical knowledge with the ability to troubleshoot processing equipment, • Six Sigma green belt or black belt certification preferred., • Experience implementing process and quality improvements in a manufacturing environment, • Work experience with the medical device or pharmaceutical industries, • Working knowledge of ISO 9001, ISO 13485:2003 and ISO 14971:200., • Working knowledge of FDA requirements as per 21 CFR 820. Cresilon is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Cresilon makes hiring decisions based solely on qualifications, merit, and business needs at the time. Benefits • Competitive annual base salary range of $70,000 - $120,000, depending upon job level and qualifications, • Paid Vacation, Sick, & Holidays, • Monthly MetroCard Reimbursement, • 401(k) & Roth Retirement Savings Plan with company match up to 5%, • Work/Life Employee Assistance Program, • Company Paid Life and Short-Term Disability Coverage, • Medical, Dental, and Vision Insurance, FSA: Dependent & Healthcare, Commuter & Parking Benefits, Long Term Disability Coverage

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 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 DescriptionThermodynamic Model Developer Join Our Innovative Team: At OLI Systems, we’re transforming the future of chemistry modeling. Our mission goes beyond developing software, we’re redefining how chemical process simulations are created and executed. We’re seeking a Specialist in Chemical Engineering Thermodynamics who’s driven to advance and deploy high-fidelity predictive models. As a member of our Research and Database team, you will tackle real-world industrial challenges, model next-generation solutions with precision, and make a lasting impact across a wide range of global industries. Your Role: Innovator in Model Development You will work on advancing our state-of-the-art physical property and electrochemical models to achieve unparalleled accuracy in predicting industrially relevant thermodynamic, transport, and interfacial phenomena across complex chemical and electrochemical systems. This role requires technical proficiency and vision in a rapidly evolving field. We’re looking for someone who is not only well-versed in the science but also excited to drive innovative strategy and contribute to our expansive research portfolio. About OLI: Leaders in Chemistry Solutions, OLI stands as a beacon in the software development landscape, mastering complex chemical phenomena. Our advanced process modeling solutions have redefined problem-solving in over 35 countries, influencing how over 500 enterprises and academic institutions maximize asset lifecycle. At OLI, our commitment to innovation and sustainability drives every endeavor, making us leaders in industrial digital transformation. Our investments in pioneering technologies such as real-time electrolyte chemistry insights, automated systems, and cloud-based analytics are crafting new benchmarks in the industry. Why You're Vital to Our Mission: As a key member of our team, you’ll provide leadership in the development of our project portfolio, identifying opportunities for new research and model development. We need your strong ability and interest to work on applications driven by abstract problems and develop creative out-of-the box solutions. Your expertise will be essential in ensuring that our models meet the highest standards of accuracy and applicability, and in guiding collaborations with research partners to address critical societal challenges such as sustainability, asset reliability, and water treatment innovation. Your key responsibilities will include: • Model Development: Advance thermodynamic, transport, and interfacial phenomena models to achieve the highest possible fidelity in predicting thermodynamic and corrosion behaviors within OLI’s simulation software platform, • Project Leadership: Provide technical expertise to guide the development of our project portfolio, identifying opportunities, and ensuring alignment with industry needs., • Customization and Parameterization: Tailor and optimize models for industrial systems to enhance their predictive capabilities in key sectors such as oil and gas, metals and mining, power generation, and water treatment., • Client Collaboration: Work closely with clients to ensure our modeling solutions meet their unique simulation needs and provide expert guidance on model application and interpretation., • Multidisciplinary Collaboration: Collaborate with a team of physical property researchers, process system engineers, and software developers to drive innovation and solve complex problems., • PhD in Chemical Engineering, Physical Chemistry, Materials Science, or a related field., • Postdoctoral experience in academia or industry is preferred.Professional Expertise:, • Proven research expertise in thermodynamics and physical properties of electrolyte and/or non-electrolyte containing systems or electrochemical corrosion modeling., • Proven research expertise in solving phase and chemical equilibrium problems, including vapor-liquid-solid phases, using various types of equations of state and activity coefficient models., • Demonstrated strong background in fundamentals-based modeling, particularly in the areas of reaction kinetics, heat and mass transfer in unit operations, and design for advanced reactors or separation processes., • Experience in mechanistic model development and the application of simulation in key industrial verticals such as oil and gas, renewables, metals and mining, and water treatment.Technical Skills:, • Strong background in mathematical model development, numerical methods, and scientific programming (e.g.: C++, Python, MATLAB, Fortran)., • Experience with process simulation platforms (e.g.: APSEN, HYSYS, Pro-II, OLI), • Experience with AI/ML applications (i.e.: Hybrid, PINNs)., • Expertise in regression analysis, data interpretation, and model parameterization., • Extensive experience in analyzing and modeling electrolyte and thermophysical properties for various scientific applications., • Transport and fluid flow modeling experience a plus.We’re Offering:, • An opportunity to be a part of a groundbreaking team that is redefining industrial chemistry modeling., • A collaborative and dynamic work environment where your contributions are valued and recognized. OLI Systems is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all. Applicants will be evaluated through a structured, rubric-based interview process to ensure consistency and fairness. OLI supports equitable career progression. Advancement decisions are guided by consistent evaluation criteria and regular performance conversations. Powered by JazzHR gnFxczmwcu

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 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 DescriptionWhy You Should Join the E3 Team When 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 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 Are Founded in 1989, Energy + Environmental Economics (E3) is a 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, Hawai’i, 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 You We look for people who combine strong analytical dexterity and/or policy experience with integrity and a passion for energy. Our Consultants love to examine, research, and offer 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 proactive approach to assist the team, and are practiced at clearly presenting information to a variety of 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 attention to detail and your organizational techniques help you create and actualize work plans that are efficient while delivering an elevated level of guidance to serve our customers. Things that set you apart: • Assist the delivery of customer work through modeling, developing presentations, writing and preparing entire subsections of reports and papers, and helping with additional 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 internal project obligations, • Deliver sections of presentations to customers and reply to questions, • Tackles elaborate analytical tasks, • Apply core QA/QC best practices, • Develop aptitude in using a flagship modeling tool, gathering relevant data, and vetting results, • Assist in proposal writing as needed, • Translate results of research and evaluations into clear visual representations, • Aid project heads in the creation or editing of spreadsheets to be "client-ready,” including developing tools for customer solutions, • Make modifications to existing tools and models to improve functionality and/or efficiency, • Proactively track actual performance of own work performed against the established plan, with ongoing communication with the Director or Manager, • 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, • 3-5+ years of related experience in an energy-related field, • Prior experience specifically addressing renewable energy and climate change issues and/or demonstrated advanced-level academic related project work, • Demonstrated hands-on experience, academic project work, or extensive knowledge in or related to one of our Practice Areas: Climate Pathways and Electrification, Asset Valuation, Transmission, and Markets, and Integrated System Planning, • You work collaboratively and help each member of your team to do their finest work, aware that each brings different experiences to the table, • You find joy in translating technical concepts to broader audiences, • You take ownership of your work, proactively seeking out answers to questions and enjoy finding creative solutions to issues you encounter, • Aptitude to write and communicate clearly, • Passionate about the transition to a low-carbon economy, • Demonstrated success guiding ideas, people, and projects, • Strong organizational and time management techniques, • High fluency in Microsoft Excel and PowerPoint; programming knowledge and experience are also valued

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 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 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: $200K - $350K

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

Job DescriptionResponsibilities • Lead the Machine Learning and Applied Science team through strategic roadmaps to support business initiatives with high impact., • Guide the teams technically, engaging in architecture definition, implementation of best practices, and troubleshooting when needed., • Mange the team through all phases of machine learning development, from concept and design to deployment and monitoring., • Stay ahead of state-of-the-art research and industry trends in machine learning, computer vision, pricing algorithms, and related fields., • Collaborate with other Engineering and Product teams to evaluate requirements and use cases for new systems., • Invest in the career development of the team members, develop future leaders, and create a culture of cohesion and teamwork., • Participate in talent acquisition processes to ensure that we have world class engineers across all skill and experience levels., • Establish metrics to measure the productivity of the team, hold people accountable and identify people issues early.Requirements and Qualifications, • PhD or MS in Computer Science, Statistics, Operations Research or a relevant quantitative discipline. PhD is strongly preferred., • 5+ years of industry experience, with at least 1+ years of experience leading machine learning teams preferably in computer vision or pricing domain., • 2+ years of experience as a hands-on senior, staff, or principal engineer with demonstrated end-to-end ownership of a machine learning project before transitioning into managing teams., • Expert level knowledge in Python and SQL for model development and statistical analysis., • Proficiency in ML frameworks such as TensorFlow, PyTorch, or scikit-learn., • Proficiency in edge computing, distributed systems, and cloud platforms (e.g., AWS, GCP, Azure)., • Strong foundation in data structures, algorithms, and optimization techniques., • Experience with common program management (MS Project, Visio, etc.) and productivity (Confluence, Jira, etc.) tools., • Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences., • Previous experience working inside innovative, high-growth environments is a plus., • Publications or patents in relevant fields such as machine learning, computer vision, or optimization is a plus.Company DescriptionStaffSource is committed to creating long-term partnerships where we can truly affect both clients’ and candidates’ lives for the better. Our success is rooted in matching talented professionals with environments that suit their goals, personalities, lifestyles, and skills. A perfect placement allows candidates to thrive in their new role and hiring managers to fill their openings with top talent that aligns with both the needs of their team and the company’s culture. Founded in 2003, StaffSource now has a 20+ year company history with business units operating within Information Technology, Accounting and Finance, Sales, Executive Search and more. Still headquartered in Knoxville, TN and lead by our founder John Sharpe, we are now serving clients and candidates all across the United States. We conduct national, regional, and localized talent searches based on the specific needs of each client and the unique goals of top talent everywhere.StaffSource is committed to creating long-term partnerships where we can truly affect both clients’ and candidates’ lives for the better. Our success is rooted in matching talented professionals with environments that suit their goals, personalities, lifestyles, and skills. A perfect placement allows candidates to thrive in their new role and hiring managers to fill their openings with top talent that aligns with both the needs of their team and the company’s culture.\r\n\r\n Founded in 2003, StaffSource now has a 20+ year company history with business units operating within Information Technology, Accounting and Finance, Sales, Executive Search and more. Still headquartered in Knoxville, TN and lead by our founder John Sharpe, we are now serving clients and candidates all across the United States. We conduct national, regional, and localized talent searches based on the specific needs of each client and the unique goals of top talent everywhere.

Job DescriptionJob SummaryAbout The RoleWe are looking for a Software Engineer to join our storage solution data plane development team. We are working on Project Astra, which is NetApp’s new enterprise-class offering delivering end-to-end application data lifecycle management for cloud native applications hosted on Kubernetes clusters. As an engineer on our team, you will work as part of a dynamic, innovative, and fun team responsible for developing our core data enablement and resiliency features, as well as enhancements to existing products. This is a great opportunity to work on a high-powered team delivering an industry changing product within an extremely high growth sector of the tech industry. If you are dedicated to creative problem solving and getting things done, you may be just the person we’re looking for! What You'll Do • Translate complex product requirements into leading-edge data storage solutions using C++. You’ll build quality into your code through unit and integration test development and continuous integration pipelines., • Contribute to team and project technical collaboration and participate in technical decisions., • Work on additional tasks and responsibilities that will help further team, department and company goals.Expectations:, • A Bachelor of Science degree in Computer Science or Electrical Engineering, a Master’s Degree, or a PhD, • 2 – 8 years of previous systems level software development experience in the enterprise storage industry or with another highly complex distributed systems product, or 0 – 5 years of experience with an advanced degree, • Multiple years developing in C++ on Linux (or are an expert C programmer with the ability and desire to quickly learn C++), • Experience developing highly multithreaded, systems level applications, • Demonstrated ability to learn new software projects quickly and have successfully completed multiple moderately complex tasks, • Experience optimizing system level code where performance is criticalAbout NetAppAbout NetAppNetApp is the data authority for hybrid cloud. We provide a full range of hybrid cloud data services that simplify management of applications and data across cloud, hybrid, and on-premises environments to accelerate digital transformation. Together with our partners, we empower global organizations to unleash the full potential of their data to expand customer touchpoints, foster greater innovation and optimize their operations. We’re forward-thinking technology people with heart. We make our own rules, drive our own opportunities, and try to approach every challenge with fresh eyes. Of course, we can’t do it alone. We know when to ask for help, collaborate with others, and partner with smart people. We embrace diversity and openness because it’s in our DNA. We push limits and reward great ideas. What is your great idea?Why NetApp?In a world full of generalists, NetApp is a specialist. No one knows how to elevate the world’s biggest clouds like NetApp. We are data driven and empowered to innovate. Trust, integrity, and teamwork all combine to make a difference for our customers, partners, and communities. We expect a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off per year to volunteer with their favorite organizations. We provide comprehensive medical, dental, wellness, and vision plans for you and your family. We offer educational assistance, legal services, and access to discounts. We also offer financial savings programs to help you plan for your future.If you run toward knowledge and problem-solving, join us. 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 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 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 Quant Developer/Market Maker The Company - Our client is a small trading shop, whose founders have an extremely successful track records in all prior ventures in high Frequency trading. The core consists of small group of educated PhD scientists who came together to build trading models in multiple asset classes over the last decade. They were first challenged to finding non-random behavior in data sets as they tackled the FX market with new algorithmic trading and quickly separated themselves from everyone else in the market. That company was bought by a world leader in capital markets, and they moved into equities, and were successful as a prop trading shop for over 6 years, and was eventually bought as well. They are now onto their next venture they are looking to tackle the cryptocurrency market. As a trusted asset to every large financial trading desk through the years, institutions have expressed great interest in trading with them, and the firm provides crypto asset execution, trading, and advisory services to institutional clients, as well as making markets on various exchanges, as well as providing customized algorithms to split up trades. They are looking for a Quant Developer (Quant/Market maker) to join this team, and head up building the market making product. This person does not need crypto experience, but needs to understand the technical backbone of market making systems, market microstructure and the technical needs for setting up and monitoring strategies. All systems are built from scratch and brand new. The competitive advantage is the model and brilliant combination of quantitative minds. They build their systems to be smarter, highly risk averse, rigorously tested and with a strict scientific approach to modeling. The Role – Starting as an Senior Quant Developer/Market Maker you will get a chance to get in on the ground floor in a low key environment and let data drive your decisions. This opportunity is for a top notch engineer with strong quantitative skills, to take a pragmatic approach and enjoy the flexibility of building something, in an environment where there is no red tape, or barriers to your creativity. It is a great opportunity for a Quant who wants to leverage technical/math skills to learn more about, and get into trading. Ideas for strategies are encouraged, and team will help you test and implement them. This is an opportunity for you to work with elite minds as well as trade ideas, grow in knowledge and gain exponential earnings potential. The overall climate is for everyone to make money and go home satisfied. Flexible hours and telecommuting is offered. Qualifications ¬ Experience working with high performance trading systems, specifically market making systems. ¬ FX is preferred over equity, because it translates better to the crypto-market. ¬ Strong Java/C# Programming ¬ Ability to develop systematic models from a mathematical approach ¬ Strong Math/Quantitative Skills and experience with Large Data Sets ¬ Top Tier Education – Masters or PhD (Math, Science, Computer Science, Engineering, Computational Finance) Skills and abilities you will be finely rewarded, compensation greatly depends on experience, equity and salary will be based on value.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at You'll Do: As a Staff Software Engineer, you'll shape the backbone of our GPU-driven data centers—powering some of the most advanced workloads in AI and large-scale computing. This isn't just about keeping the lights on; it's about architecting the next generation of reliable, secure, and massively scalable infrastructure. The METALDEV team builds and operates a suite of Go-based services that power large-scale datacenter deployments. These platforms automate complex workflows while providing deep observability and monitoring for tens of thousands of GPU servers and diverse infrastructure components—including CDUs, PDUs, and NVLink switches. Our tooling is designed for next-generation rack systems like NVIDIA GB200 and GB300, as well as a broad range of GPU server platforms. • Provide technical leadership in designing, architecting, and operating large-scale infrastructure services for GPU servers, with a focus on security, reliability, and scalability., • Build and enhance infrastructure services and automation, including inventory management systems and lifecycle management solutions using open source technologies., • Drive strategic direction for infrastructure automation, lifecycle management, and service orchestration, making MetalDev core services more scalable and resilient., • Define best practices for API development (REST/gRPC), distributed databases, and Kubernetes orchestration—while mentoring engineers to follow your lead., • Partner with hardware, software, and operations teams to align infrastructure with business impact., • Contribute to open source communities (e.g., Go, Redfish) through collaboration and technical thought leadership., • Lead and improve CI/CD pipelines for hardware compliance, firmware management, and data systems., • Champion reliability and operational excellence by driving observability (Prometheus/Grafana), production incident response, and continuous service improvement.Who You Are:, • B.S., M.S., or PhD in Computer Science or related field, or equivalent experience., • 8+ years of software engineering experience with a strong focus on infrastructure, cloud engineering, and distributed databases—particularly within large-scale datacenter and cloud environments., • Expertise in Go and proven experience building REST/gRPC APIs for mission-critical platforms., • Strong background in architecting and scaling cloud-native Kubernetes infrastructure and distributed services., • Proven success in mentoring engineers, leading technical projects, and influencing engineering strategy across teams., • Experience contributing to and collaborating with open source communities., • Skilled in applying a data-driven approach to reliability, optimization, and continuous improvement., • Excellent communicator able to work effectively with both technical and non-technical stakeholders., • Hands-on experience with observability stacks (Prometheus, Grafana, PromQL), CI/CD pipelines, and operating large fleets of GPU servers., • Working knowledge of Kafka, ClickHouse and CRDB., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description 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 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 At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role: As a Principal Data Scientist, you will serve as the senior technical leader within one of our leading Data Science teams, reporting to the Head of UK AI & Data Science. You will lead the design and execution of high-impact AI and data science initiatives, working hand-in-hand with embedded ML Engineers to move prototypes into production-ready pilots that deliver measurable business outcomes. This role is focused on delivery and applied impact: you will scope and frame complex business problems, develop advanced models, and collaborate with ML Engineers to ensure solutions are integrated, monitored, and piloted successfully. Once validated, you will work with the central engineering, data, and product teams, who own firm-wide platforms, scaling, and governance, to ensure smooth handoff and enterprise adoption. As the most senior data science IC, you will also mentor and guide a team of data scientists, set technical direction, represent TWG externally, and ensure all projects align with firm-wide priorities and responsible AI practices. Responsibilities: • Lead the design and delivery of flagship AI/ML projects that drive measurable value across financial services and adjacent sectors., • Act as senior technical authority on advanced methods (generative AI, causal inference, LLM-based analytics, RAG, simulation)., • Partner closely with embedded ML Engineers to operationalize models into production-ready pilots., • Collaborate with central engineering, data, and product teams to hand off successful pilots for scaling, governance, and long-term adoption., • Translate complex business challenges into enterprise-level AI solutions with tangible ROI., • Mentor and guide data scientists, fostering technical excellence, rigor, and responsible AI adoption., • Partner with senior stakeholders, including MDs and executive committees, to ensure AI initiatives align with priorities., • Represent TWG Global in external forums, universities, regulators, and partnerships with technology leaders., • Define and enforce standards for experimentation, reproducibility, and responsible AI., • 8+ years of experience in data science or machine learning, with proven delivery of enterprise-impact projects., • Deep expertise in advanced machine learning, causal inference, deep learning, and statistical modeling., • Demonstrated success leading end-to-end projects and influencing senior stakeholders., • Hands-on technical depth in Python (or R), cloud platforms, and modern ML frameworks., • Experience mentoring or leading small, high-performing teams., • PhD or equivalent advanced degree in Data Science, Statistics, Computer Science, or related quantitative discipline., • Experience using Palantir platforms (Foundry, AIP, Ontology) to develop and operationalize insights., • Familiarity with LLM application frameworks, vector databases, and knowledge graphs., • Publications in top-tier AI/ML or data science conferences/journals (e.g., NeurIPS, ICML, KDD, AAAI, ACL, JASA)., • Contributions to the open-source data science/ML ecosystem (libraries, frameworks, widely adopted tools)., • Track record of thought leadership (invited talks, keynotes, conference leadership roles)., • Experience establishing standards for reproducibility, experimentation, and responsible AI. This is a hybrid position based in New York, NY or Santa Monica, CA. Fully remote candidates will not be considered. We offer a competitive base pay + a discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description Associate 3+ (Architect 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 architect 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 high-caliber architecture, and an enthusiasm for outstanding delivery. 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 • Work with design architecture firms and building owners/managers on exterior wall design assistance projects., • Collect and analyze data related to environmental, material fabrication, and construction practices., • Apply 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 components based on assessment 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 design trends., • 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 of Architecture or Architectural Engineering required; an Advanced degree (M / PhD) is an asset., • Experience: 5-10+ years of project experience in building envelope design, repair, and investigation., • Licensure: Registered Architect in either the state of New York or Illinois (or the ability to attain one of these within six months of hire). Both are assets., • 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), • Software Skills: Fluent in Autocad, Revit, Sketchup, Rhino, or Bluebeam. More than one is an asset., • Project Management: Experience managing budgets and schedules, and leading projects., • Position may require some work to be completed in a field or laboratory environment, including work from heights or in confined spaces., • Enjoy 30% of the time in the field overseeing quality assurance observation or ASTM / AAMA / FGIA testing and assessment of 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 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 About the Company: Our client is a company building the world's highest- performance pure digital AI inference chip. We are looking for an experienced software engineer with excellent C/C++ programming skills and at least 5 years of related work experience. The ideal candidate should have a strong background in software design, debugging, and performance analysis, and a deep understanding of system level architecture. Key Requirements: • Degree in Computer Science, Computer Engineering, or related discipline, • Excellent C/C++ programming skills, • Strong experience in software design, debugging, and performance analysis, • Deep understanding of system level architecture, • Experience with Linux driver or Linux Kernel development, • Ability to work independently and lead development efforts, • Minimum 5 years of software engineering or related work experience, • Masters or PhD in Computer Science, Computer Engineering or a related discipline, • Experience with Python and using C/C++ libraries from Python (e.g. using Cython), • Focus on software quality and testing, • Experience architecting low and high level APIs, • Proficient in a variety of development styles and programming languages, • Ability to build projects from the ground up, • Comfortable working within a rapidly evolving project, • 20 vacation days, • Strong health and extended health benefits, • Unlimited sick days

Job Description At TWG Group Holdings, LLC (“TWG Global”), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role: As a Principal Machine Learning Engineer, you will be embedded in our Data Science team and play a critical role in accelerating the delivery of AI solutions. Reporting to the Head of the UK AI & Data Science team, you will work alongside Data Scientists to take prototypes and translate them into reliable, production-ready services for business stakeholders. This is a hands-on technical leadership role: you will set direction, architect solutions, and mentor peers. The remit is squarely focused on last-mile delivery — taking prototypes built by Data Scientists and making them usable in real business settings by packaging them into services or APIs, wiring them into data sources, building lightweight feature and inference pipelines, and adding basic monitoring and retraining logic. You will accelerate pilot deployments so stakeholders can see value quickly, and then hand the solution off to the Central Engineering and Data team, who are responsible for firm-wide platforms, scaling, and long-term support. The ideal candidate will also bring applied data science skills and be comfortable moving between ML engineering and data science work. You should be able to contribute to model development and analysis when needed, in addition to owning deployment and operationalization. Responsibilities: • Translate data science prototypes into production-ready pilot ML services tailored to business use cases., • Build lightweight pipelines (feature engineering, model packaging, inference services) that integrate smoothly with central platforms while meeting immediate delivery needs., • Champion pragmatic MLOps practices (CI/CD for ML, monitoring, observability) to improve reliability without duplicating central engineering’s enterprise frameworks., • Partner closely with Data Scientists to operationalize models, and collaborate with central engineering to plan handoffs of successful pilots for hardening and scale., • Apply emerging ML engineering techniques (LLM deployment, RAG, vector databases) to accelerate delivery of applied projects., • Develop reusable components and lessons learned that central teams can adopt into firm-wide platforms., • Ensure ML workflows comply with governance, audit, and regulatory requirements., • Collaborate with central Engineering, Data, Product, and Security teams to ensure alignment with firm-wide platforms and standards., • Provide technical mentorship to ML engineers, raising the bar for applied delivery and model deployment., • 8+ years of experience designing, building, and deploying ML systems in production., • Proven track record of leading ML engineering projects from prototype to production delivery., • Deep expertise in modern ML frameworks (TensorFlow, PyTorch, JAX, Ray, MLflow, Kubeflow)., • Proficiency in Python and at least one backend language (e.g., Java, Scala, Go, C++)., • Strong knowledge of cloud ML infrastructure (AWS SageMaker, GCP Vertex AI, Azure ML) and containerized deployments (Kubernetes, Docker)., • Hands-on experience with ML pipelines, distributed training, and inference scaling., • Familiarity with monitoring stacks (Prometheus, Grafana, ELK, Datadog)., • Experience in regulated industries (finance, insurance, healthcare) with compliance and governance needs., • Strong communication and collaboration skills, with the ability to mentor others and influence technical direction., • Working knowledge of data science techniques (e.g., supervised/unsupervised ML, model evaluation, causal inference, feature engineering)., • Experience integrating with Palantir platforms (Foundry, AIP, Ontology) as a user/consumer., • Practical exposure to LLM and GenAI delivery (fine-tuning, RAG, vector search, inference)., • Experience optimizing GPU clusters or distributed training workloads. This is a hybrid position based in New York, NY or Santa Monica, CA. Fully remote candidates will not be considered. We offer a competitive base pay + a discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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 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 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 DescriptionOur Company Arch is a Series B financial technology company that automates the management of private investments, improving access, understanding, and the human experience of investing across asset classes. Private investments such as venture capital, hedge funds, and private equity, make up roughly 25% of the investment universe. Traditionally, investors, advisors, banks, families, and managers track hundreds of investments in complicated spreadsheets, file folders, and busy inboxes. Not only is this tedious and time-consuming, but it is rife with opportunity for manual data entry errors, inconsistent reporting, and lost information. Enter, Arch. Arch delivers standardized data, documents, and insights in a single platform, avoiding the need to chase information across dozens or hundreds of ‘portals’. Our purpose is to save investors’ time while empowering them to make more informed investment decisions, leading to better financial outcomes. We are a fast-growing, dynamic team of 120+, serving over 400 clients, including several of America’s largest banks, families, and financial institutions. We’ve over doubled the size of the company every year since inception and we are looking to hire in all departments as we scale. The Role As a Software Engineer, you’ll help develop and scale core components of our platform. Your work will support the automation of complex processes, the launch of new product offerings, and the growth of our infrastructure. This is an important role, as your contributions will directly enable technology that could power trillions in investments and drive meaningful impact for our clients. You’ll collaborate closely with fellow engineers, product managers, and other team members to deliver solutions that make a difference in our clients’ investment processes. Your responsibilities will include: * Work with cross-functional teams (product, design, operations, infrastructure) to build and improve application features. * Contribute to both user-facing interfaces and backend services using modern frameworks and technologies. * Help develop reusable software components and APIs that connect front-end and back-end systems. * Write clean, efficient, and reliable code, and learn how to optimize for performance and scalability. * Participate in code reviews and learn best practices from peers and senior engineers. * Assist in designing and implementing systems that are scalable and maintainable across the stack. * Troubleshoot and fix issues across front-end, APIs, and databases. * Gain experience working with multiple programming languages, frameworks, and databases. * Take responsibility for assigned tasks and features, developing an end-to-end understanding of how they work. Reach out to us if you have: * 2+ years of programming experience * Currently has, or is in the process of obtaining a Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience or a PhD in a technical field. * Experience building maintainable and testable code bases A Note about us: All of our full-time roles are based onsite at our New York City office, where our team thrives on in-person collaboration and dynamic teamwork. Being onsite daily enables us to build strong connections, collaborate effectively to solve challenges, and foster an engaging environment focused on shipping product and delivering exceptional service to our clients. We encourage applicants currently located in or willing to relocate to the NYC area to join us in this exciting, hands-on workspace. Some perks of working for Arch include: * Strong Team - You’ll be backed by a strong team that consistently exceeds client expectations and ships new products quickly. * Your work is high impact - Being part of a small team means you have real responsibility and impact from day one. You'll be involved in discussions that drive the growth and direction of our platform from the very beginning. * Product Market Fit - We have strong product market fit, exceptionally low churn, and have grown mostly organically through word of mouth. * Team community and camaraderie - We have enormous trust in each other and always do what we can do to support one another. We're always ready to step in to help. * Great office - we’ve invested in a great space for the Arch team to come together, at 18th and Park in Manhattan (the old Buzzfeed / NYT headquarters). * Lunch is on Us - Grab lunch on us while you’re in the office and take a break to laugh, brainstorm, or just hang out with your teammates over a meal. Compensation Range: $100K - $180K

Job Description Senior Associate (NY Engineer or Architect for Building Envelope Group) Salary Range: $175,000.00 To $200,000.00 Annually About the job: We are seeking a senior-level manager to join our Building Envelope team in New York City. The ideal candidate has a passion for delivering high-caliber work, enthusiasm for teaching and mentoring both colleagues and clients in our industry, and boundless curiosity to build a better mousetrap (enjoys using technology, thought, or creativity to improve on previous solutions). 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 leader of a team that will teach, test, learn, and deliver the next generation of building envelope designs, repairs, reuse, and investigative solutions. Key Responsibilities • Provide leadership in the implementation of planned initiatives that support CTLGroup and the Building Envelope group's strategic direction, which may include technical, project management, business development, or a variety of other company-wide opportunities., • Provide day-to-day guidance to teams, ensuring to foster a collaborative environment where knowledge is shared and creative solutions are supported., • Assist with finding, interviewing, hiring, and developing staff through mentorship and providing ongoing feedback., • Proactively perform Client outreach by leveraging existing client relationships. Work with the CTLGroup business development and marketing teams to prepare and review proposals., • Apply architectural engineering first principles and analytical methods to determine the causes of building envelope problems, including the root causes of air infiltration, water infiltration, condensation, thermal radiation, and solar radiation., • Work with CTLGroup colleagues to implement standard operating procedures.Create an atmosphere where incremental improvements can be suggested and implemented for continuous learning and enhancement., • Oversee the quality of work on a personal level.Implement the CTLGroup quality assurance standards within the building envelope group., • 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 FGIA, AAMA, and ASTM exterior wall pre-qualification requirements for a variety of materials and systems.Track record overseeing visible mock-ups and Performance mock-ups., • Establish and maintain good working relationships and collaborative arrangements within the Architectural/Engineering/Construction/Building Management community and other organizations to help achieve the goals of CTLGroup. Requirements • Education: Bachelor’s degree (BS) in Civil Engineering, Architectural Engineering, or Structural Engineering required; an Advanced degree (MS / PhD) is an asset., • Experience: 11+ years of project experience in building envelope design, repair, and investigation. 5+ years of experience in the New York market. 2+ years managing direct reports., • Licensure: Professional licensure is a requirement, either a Professional Engineer (PE) in the State of New York, or a Registered Architect (RA) in the State of New York, with both licenses an asset., • Certifications (For NY candidates only): Experience with NYC Local Law 11 Facade Inspection Safety Program. Qualified Exterior Wall Inspector (QEWI) designation from the New York City Department of Buildings or ability to obtain QEWI within 12 months of start., • Communication Skills: Excellent written and verbal communication skills. (Be willing to provide examples within the interview process) Expresses a passion for working on challenging building envelopes (either forensic investigations of exterior wall systems or working with design architects on custom-designed / high-performing exterior wall systems. Both are assets.), • Project Management: Experience managing budgets and schedules, and leading projects that require multiple disciplines to achieve the project goals., • Business Development: Track record of clients who are satisfied with project delivery (at least three references will be required). Fluent in 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 20%+ of the time in the field mentoring staff on building envelope existing conditions., • Up to 15% travel at times 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.