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Job Description MERL is seeking an intern to work on physics-informed scientific machine learning algorithms for problems governed by partial differential equations (PDEs). The ideal candidate would be a PhD student in engineering, computer science, or related fields with a strong background in scientific machine learning for PDEs. Preferred skills include experience with autoencoders, transformers, or diffusion models. Strong coding abilities in Python and a deep learning framework such as Pytorch are essential. The intern will work closely with MERL researchers to develop novel algorithms, conduct numerical experiments, and prepare results for publication. The duration is expected to be at least 3 months with a flexible start date. The pay range for this internship position will be 6-8K per month. Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered “at-will,” and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

Job DescriptionCloud Systems Architect Employment Type: Full-Time, Mid-levelDepartment: Information Technology We are seeking a Cloud Systems Architect with experience with cloud infrastructure to engineer and support public, private and hybrid clouds. The ideal candidate will be proficient in a variety of cloud hosts including Amazon Web Services and Microsoft Azure at a minimum. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:- The candidate will be knowledgeable of the most recent updates and developments and act as an advisor to our customer in reference to the cloud management strategies to be employed to take advantage of the benefits offered by cloud computing such as being able to function without any restrictions to the workload, initiate as many workstations as necessary per time period and pay only for what they actually use. - The candidate will also work with the IT Security team to manage and maintain cloud systems security of the data and network resources. - The candidate will also be responsible for engineering on customer premise applications and systems interconnected to cloud resources. - Designs and defines system architecture for new or existing complex computer systems. - Determines systems specifications, input/output processes, and working parameters for hardware/software compatibility and maintenance of system security. - Coordinates design of subsystems and integration of total system. Identifies, analyzes, and resolves program support deficiencies. - Develops and recommends corrective actions. - May provide technical guidance for database administrators and software developers. Qualifications:- Experience with and a complete understanding of the technology required for cloud computing.- Experience with the skills to migrate applications to the cloud.- Be able to build relationships between the customers and the team members.- The ability and the knowledge to integrate services and tools to any and all areas to be used such as networks and data processing.- The ability and the knowledge to implement security information and event management to keep the customer's assets safe.- Experience with meeting or exceeding the requirements of cloud provider service-level agreements Experience with AWS and Azure.- Knowledge of a multitude of programming languages including Python, PHP, Java, Node and Ruby on Rails.- Typically a Bachelor's Degree and 6 years work experience or equivalent experience. Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work.Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package.- Health, Dental, and Vision- Life Insurance- 401k- Flexible Spending Account (Health, Dependent Care, and Commuter)- Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: For more information about CGS please visit: or contact:Email: #CJ 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 Location: Waltham, MA (hybrid) NEXT's mission is to help entrepreneurs thrive. We're doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience. Simply put, wherever you find small businesses, you'll find NEXT. Since 2016, we've helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We're backed by industry leaders in insurance and tech, and we still have room to grow — that's where you come in. What You'll Do: • Design, implement and optimize backend services that support AI workflows, • Integrate ML and LLM models into production systems with focus on performance, reliability and scalability, • Collaborate with product and cross functional teams to refine requirements and translate them into clear technical plans, • Contribute to system design, architecture reviews and code quality improvements, • Diagnose complex issues across data pipelines, model serving and backend components, • Support innovation and continuous improvement by identifying opportunities and driving technical initiatives What We Need: • 5+ years of backend engineering experience in Python, Go, Java or similar, • Proven experience building high performance or distributed systems, • 2+ years of hands on experience integrating ML or LLM models into production, • Strong understanding of cloud infrastructure, microservices and observability, • Ability to operate effectively under ambiguity and navigate dynamic environments, • Strong communication and collaboration skills, • Hybrid Work Model: This role supports a flexible hybrid work model, requiring a minimum of two days per week on-site in the office, per company policy Note on Fraudulent RecruitingWe have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of Next Insurance. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note, we do not ask for sensitive information via chat, text, or social media, and any email communications will come from the domain @nextinsurance.com. Additionally, Next Insurance will never ask for payment, fees, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via the careers page on our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations. If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Next Insurance, please do not provide any personal or financial information. You can find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission's website (), or you can contact your local law enforcement agency. The range displayed on this job posting reflects the minimum and maximum target for new hire salaries for the position in the location(s) listed. Within the range, individual pay is determined by additional factors, including, without limitation, job-related skills, experience, and relevant education or training. NEXT employees are eligible for our benefits package, consisting of our partially subsidized medical plan, fully subsidized vision/dental options, life insurance, disability insurance, 401(k), flexible paid time off, parental leave and more. US annual base salary range for this full-time position: $158,000—$213,000 USD Don't meet every single requirement? Studies have shown that some underrepresented people are less likely to apply to jobs unless they meet every single qualification. At NEXT, we are dedicated to building a diverse, inclusive and respectful workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. One of our core values is 'Play as a Team'; this means making sure everyone has an equal chance to participate and make a difference. We win by playing together. Next Insurance is an equal opportunity employer and prioritizes building a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants of any type and do not discriminate based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state, and local laws. Next's policy is to comply with all applicable laws related to nondiscrimination and equal opportunity and will not tolerate discrimination or harassment based on any of these characteristics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Job Description Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Are you a driven graduate student eager to make a real impact at a cutting-edge technology company? Xometry's Summer Internship Program offers a unique opportunity to gain hands-on experience and develop advanced skills in the rapidly evolving world of digital manufacturing. We're looking for a passionate and talented Data Science Intern (Master's/PhD) to join our team! What You'll Do: As a Data Science Intern at Xometry, you'll contribute to projects that leverage advanced analytical techniques to optimize our manufacturing processes, improve customer experience, and drive business decisions. You can expect to work in an environment that encourages innovation and provides hands-on experience in applying cutting-edge data science techniques to real-world challenges.You will: • Develop and implement advanced statistical models and machine learning algorithms for tasks such as demand forecasting, predictive maintenance, or supply chain optimization., • Conduct in-depth data analysis to identify trends, patterns, and insights from large datasets related to manufacturing operations, customer behavior, and market dynamics., • Design and execute experiments to evaluate the effectiveness of different data-driven strategies., • Collaborate with engineers, product managers, and business stakeholders to understand business needs and translate them into impactful data science solutions., • Contribute to the development of data pipelines and infrastructure for data science applications., • Communicate complex technical findings clearly and effectively to both technical and non-technical audiences., • Academic Excellence: Currently enrolled in a Master's or PhD program at an accredited college or university, graduating in December 2026 or May 2027, with a strong academic record., • The ideal candidate will be pursuing a Master's or PhD degree in: Data Science, Statistics, Machine Learning, or a related quantitative field., • Technical Skills: Strong foundation in statistical modeling, machine learning, and data mining techniques., • Proficiency in programming languages (e.g., Python, R) and data visualization tools., • Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable., • Research Experience (PhD candidates): Experience conducting independent research and contributing to publications is a plus., • Strong Work Ethic: Ability to work full-time (40 hours/week) during the internship period (June 8 - August 14, 2026)., • Excellent Communication Skills: Strong verbal and written communication skills, including the ability to explain complex technical concepts clearly and concisely to both technical and non-technical audiences., • Problem-Solving Skills: A strong analytical mindset and a passion for problem-solving., • Legal Authorization: Ability to provide proof of legal right to work in the United States. Location Requirement: Ability to commute to our Waltham, MA or North Bethesda, MD office to work onsite for at least 3 days a week. #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Job DescriptionTutor Intelligence is looking for an engineer to implement and evaluate motion-planning, trajectory optimization, and control solutions for our robot arms. With a growing fleet of robots deployed, the value of improving our motion plans in order to operate more efficiently is growing as well. We seek someone to bolster our team with an explicit focus on problems related to robot motion. We are looking for someone with domain expertise in planning and optimization for multi-dof robots, with a broad mandate to:* Generate collision free trajectories under a range of inputs* Optimize the speed and efficiency of our robotsRequirements • Experience with optimizers (IPOPT, SNOPT, etc.), • Experience with c++ & python, • Experience with planning and optimization for multi-dof robots (arms, quadrupeds, AVs, etc), • Strong software skillsNice to have, • Research experience with robot motion, • Relevant publicationsAll offers include generous equity, fully covered health + dental, and unlimited PTO.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. This position is ideal for an individual who thrives on solving complex integration challenges that span hardware, software, and systems engineering. A successful candidate will be skilled at deploying autonomy solutions onto unmanned platforms, preparing systems for flight, and troubleshooting mission-critical issues in both lab and field environments. The role is highly dynamic, requiring hands-on experience, strong systems thinking, and the ability to operate effectively in fast-paced, real-world test conditions. Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Flight Integration Engineers are essential to bridging the gap between R&D and deployment, ensuring that autonomous systems function reliably and effectively when and where they are needed most.What you'll do: • System Integration & Deployment — Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces., • Pre-flight Preparation — Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness., • On-site Flight Test Support — Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints., • Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments., • Flight Data Capture & Analysis — Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements., • Collaboration Across Teams — Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly., • Continuous Improvement — Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles., • Support Certification and Compliance — Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments., • Travel Requirement – Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events).Required Qualifications:, • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience, • Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience., • Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)., • Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics., • Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS)., • Hands-on experience supporting flight demos or live exercises., • Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation., • Strong problem-solving skills, with the ability to troubleshoot and optimize system performance., • Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment., • Ability to obtain a SECRET clearance. Preferred Qualifications:, • Direct experience supporting unmanned aerial systems or similar flight test campaigns., • Familiarity with autonomy stacks, flight control systems, or GNC pipelines., • Competence in sensor integration, electronics debugging, or avionics bring-up., • Proficiency in developing automation tools for system testing, logging, and data parsing., • Comfortable interfacing with DoD stakeholders during field events or technical reviews. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 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 MERL is looking for a highly motivated intern to work on an original research project on audio-visual learning, with a focus on spatial audio, training models using limited labeled data. A strong background in computer vision, audio processing, and deep learning is required. Experience in audio-visual (multimodal) learning, weakly/self-supervised learning, Room Impulse Response (RIR) estimation, and large (vision-) language models is an added plus and will be valued. The successful candidate is expected to have published at least one paper in a top-tier computer vision or machine learning venue, such as CVPR, ECCV, ICCV, ICML, ICLR, NeurIPS, or AAAI, and possess solid programming skills in Python and popular deep learning frameworks such as Pytorch. The intern will collaborate with MERL researchers to develop and implement novel algorithms and prepare manuscripts for scientific publications. Successful applicants are typically graduate students on a Ph.D. track or recent Ph.D. graduates. Duration and start date are flexible, but the internship is expected to last for at least 3 months. Required Specific Experience • Prior publications in top-tier computer vision and/or machine learning venues, such as CVPR, ECCV, ICCV, ICML, ICLR, NeurIPS, or AAAI., • Knowledge of the latest self-supervised and weakly-supervised learning techniques., • Experience with Large (Vision-) Language Models, Spatial audio processing techniques. Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered “at-will,” and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

Job Description Withings revolutionized connected health by launching the world's first Wi-Fi scale in 2009. Our award-winning ecosystem includes beautifully designed, easy to use connected devices for monitoring blood pressure, weight, activity, sleep, temperature, and more. Now our devices are used for preventive health and weight-loss programs, telehealth and remote patient monitoring, and clinical studies. They are the key enabling technologies which support our partners’ strategies by accurately and reliably providing the data & metrics they need in order for their programs to be successful. We are looking for a VIE – Supply & ADV Analyst to strengthen our Operations team and support the efficiency, reliability, and continuous improvement of our end-to-end supply chain and order management processes. In this role, you will contribute to automation initiatives, operational performance analysis, and cross-functional collaboration to enhance both internal workflows and the customer experience. The main missions will include: 1. Process Automation & Continuous Improvement • Develop Python scripts to automate recurring manual tasks (e.g., data cleaning, data extraction & upload between systems)., • Set up retro-control tools to check on operation accuracy (e.g. ensure consistency between price invoice in ERP and confirmed prices from the Sales team), • Streamline B2B customer order entry through automation tools (e.g. firebase, python script) 2. Operational Analysis • Conduct cost analysis on US logistics activities (transportation, rework, returns, warehousing)., • Identify cost reduction opportunities and propose actionable improvements to enhance operational efficiency. 3. Cross-Functional Collaboration • Coordinate with Sales, Customer Success, and Customer Service teams to improve communication and alignment through shared KPIs., • Support US Supply chain leader to create and follow tickets with the platform team on various automation projects., • Contribute to the enhancement of the customer return process to strengthen the post-sales experience. Requirements • Master’s degree in Engineering, Supply Chain Management, Data Analytics., • Solid understanding of supply chain operations and data-driven analysis., • Strong command of Python, Excel & automation tools., • Excellent communication skills in English and French., • Analytical mindset, attention to detail, and passion for process improvement. Nice to Have • Previous experience in an international environment or e-commerce/logistics sector., • Becoming part of one of the pioneers and global leaders in connected health, multiple-time award winner at the Consumer Electronics Show., • Contributing to innovative and ambitious projects shaping the future of health, within an agile and fast-evolving environment., • Joining an international company, member of the FrenchTech 120, with teams based in Issy-les-Moulineaux, Boston, Hong Kong, and Shenzhen., • Actively participating in the continuous improvement of our products and services by beta-testing them before release — including during our many sports sessions with colleagues.

Job DescriptionSalary: Depending on relevant experience Come join oneZero Financial Systems! An exciting, fast-growing company with Headquarters in Somerville MA, oneZero empowers banks, brokerages and hedge funds with cutting edge trade routing and execution technology. Our platform, deployed with 200+ entities globally, features a low-latency trading environment, integrations to the worlds leading execution venues, and reliable IT infrastructure and technical supportall designed to be customized and scaled to serve any business model and any size of market participant. We take pride in our great work atmosphere and highly motivated team of engineers. We are currently looking for a motivated and talented Lead SDET Quality Assurance Engineer to join our HQ office. oneZero is proud to have been named one of Business Intelligence Group's Best Places to Work for four consecutive years: The Boston Globe names oneZero a Top Place to Work in 2022, 2023, and 2024: oneZero earns 2024 Great Place To Work Australia Certification Please see oneZero featured in e-Forex Magazine to learn more about the company and our dynamic team (). JOB PURPOSE: At oneZero, we develop a high performance ultra-low latency trading and finance platform that sends terabytes of data to our AWS platform on our data analytics platform. We also develop and integrate into our Autochartist analytic platform into our main platforms. We are looking for a computer science graduate or trained software engineer who is looking to work with a world-class software team. In this role, you will grow your career through teamwork, becoming an expert in trading/finance/data analysis via testing and developing code to ensure we deliver high quality software and validate our large data sets. JOB DESCRIPTION SUMMARY: Manages and supervises other SDET QA to ensure application code the team tests performs as expected in terms of function, compatibility, design, and performance chiefly by developing testing programs to identify possible defects in pre-deployment software. Operates at all levels of the testing pyramid, employing knowledge of the end user business domain to mentor the team to validate suitability for purpose. Collaborates with team, engineering and product colleagues to ensure consistently high quality software. Oversee and help implement full automation test coverage at a squad level for a release and coordinate the work within the squad/team to completion. Participates in automation code reviews, pair-programming, makes automation framework updates to support new/enhanced functionality, Able to understand automation coding and best practices and mentor other SDET QA to get the team to develop test automation to the same standards that the development team follows. Keep up with innovations in the industry and be a driver of continuous improvement. KEY ROLES AND RESPONSIBILITIES: Quality and Best Practices Champion • Promotes automation first approach to test plans that incorporate both positive and negative scenarios, • Identifies functional interdependencies between squads that optimizes testing of related/dependent features that are cross-squad and cross-team, • Participates and leads in postmortem activities to better understand and automate escapes and implement process improvements, • Understands each tier of the testing pyramid and the how to use the different automation solutions for them, • Helps ensure both stories and epics meet both Definition of Ready (DoR) and Definition of Done (DoD), • Applies test-first BDD and TDD best practices Innovator • Experience with integrating AI into test automation solution, • A vision for how Generative AI can transform QA, • Ideas for client-centric testing that includes persona and workflow based test strategy Automated Test Developer • Has a vision for how to make Leverages AI to enhance automation and productivity while ensuring high quality coding standards, • Designs\refactors automation to validate the intended functionality using common classes and shared configs that keeps the framework lean and fast, • Able to automate and do code reviews at all levels of the test pyramid, • Ensures automated tests are incorporated into CI/CD pipeline and ensure test results are monitored, • Be a hands on lead and automate and validate end to end system/functional workflows within multiple components Agile Practitioner • Demonstrates understanding of Agile principles and supports the overall delivery for product releases, • Able to accurately estimate stories and ones own capacity, • Processes retrospectives and applies Kaizen principles to daily work Business Domain Expert • Has business domain experience and extends business domain through purposeful study, • Has client centered approach and promotes customer personas and application workflows as a testing practice, • Able to identify domain knowledge gaps within the team and recommend individualized training options, • Demonstrates analytical, systems and innovative thinking, • Acquires subject matter expertise in application under test to a level of demoing and training others Test Framework Developer • Learns the appropriate uses of, architecture for, and construction of test frameworks and tooling, • Suggests and implements improvements to the test framework, • Work with multiple frameworks; REST/API, GUI, performance, ETL/big data as well as custom test solutions, • Incorporates AI and new technologies into our framework that boost both productivity and product quality Tier 3 Support Troubleshooter • Understands the production support model, • Understands how production environments are deployed and configured, • Prioritizes production issue troubleshooting and delegates to the team. EXPERIENCE/EDUCATIONAL REQUIREMENTS: • Bachelors/Masters degree in the Hard Sciences (Computer Science, Math, Engineering preferred), • 10+ years of software development or automation development or technical team leadership experience, • Demonstrable experience with some of CI/CD, BDD/TDD, C#, Relational Databases and Python/JavaScript, • Experience with performance tools like Neoload/JMeter/Etc, • Familiarity with Playwright, • Experience managing technical automation QA teams in an agile and CI/CD environment, • Finance industry experience, • Experience using generative AI within a development environment KEY COMPETENCIES • Business Orientation (Proficient)- Understands the needs and priorities of internal and external clients. Conducts work with a customer point of view. Observes and reports problems relevant to the client and works to gain their trust and respect, • Cooperation (Advanced)- The ability to work effectively with others in order to achieve a shared goal- even when the objective at stake is of no direct personal interest. Acknowledge the contribution from others disciplines; Discuss plans and ideas with others and invite them to contribute; Is able to compromise- lets a group's interest prevail over their own; Makes others see their contribution is vital for achieving a shared goal., • Focus on Quality (Advanced)- Sets high quality standards and strives for continuous improvement. Encourages others to take quality into account; Self-manages and creates test and checks of the work of others to ensure work is up to prescribed quality standards; Indicates clearly and specifically what level of quality is expected, • Initiative (Proficient)- Recognizes and creates opportunities and acts accordingly. Communicates and starts something than waiting passively for it to happen. Mentions and discusses practices that are inefficient and a drag on productivity and actively searches for and suggests solutions., • Result Orientedness (Advanced)- Sets high standards, defines/achieves challenging yet feasible goals; Considers the option carefully; mobilizes means and people, even when others need to be persuaded of its necessity; Does not give in, actively looks for alternative possibilities when facing difficulties., • Workmanship (Proficient)- Independently carrying out one's work. Has a thorough knowledge of one's field. Knows the causes and solutions to commonly occurring problems; shows interest in his professional field- keeps their professional knowledge up-to-date by all means possible; Shows what has priority and where necessary, changes the work order; Sees work that has to be done and takes initiatives to get it done. The salary range for this role is 115,000- 145,000, depending on relevant experience.

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny. At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. About the team Klaviyo's Global IT team — part of Global Technology Solutions (GTS) — powers the systems, tools, and infrastructure that keep the company moving fast. We build automation, platforms, and tooling that enable scalability, security, and employee productivity. The AI & DevOps Engineering team is responsible for delivering the platforms and services that support Klaviyo's internal use of AI and corporate stack automation. This includes secure LLM integrations, prompt APIs, CI/CD tooling, infrastructure-as-code, and systems that bridge the needs of IT, Security, and R&D. Our goal is to make internal operations smarter, faster, and more reliable through modern engineering practices and emerging technology. About the role (you) As the Director of AI & DevOps Engineering, you'll lead a team of engineers focused on building and operating core internal platforms that support intelligent systems and developer velocity. You'll define strategy, prioritize roadmap, and partner closely with teams across Klaviyo to operationalize AI tooling and modernize infrastructure. This role owns both the deployment and management of AI tools (e.g. ChatGPT, Claude, Gemini, Glean) and the development of internal DevOps systems (CI/CD, automation, monitoring, infrastructure provisioning). You'll deliver shared services that empower internal teams to work more efficiently and focus on solving high-value problems. How you'll have an impact • Lead the engineering roadmap for internal AI platform services, DevOps automation, and infrastructure tooling., • Build and scale developer tools such as CI/CD pipelines, container orchestration, GitHub integrations, and infrastructure-as-code., • Partner with Engineering, Security, and Data teams to integrate LLMs and AI services in a safe, scalable way., • Stand up and support AI services: vector search, internal plugins, prompt orchestration layers, and secure API routing., • Enable teams across Klaviyo to integrate AI into workflows by supporting pilots, building SDKs, and maintaining internal knowledge bases., • Drive systems automation for IT services—e.g., identity provisioning, SaaS lifecycle management, endpoint posture, and reporting., • Mentor and grow a high-performing team of engineers with a focus on technical depth, quality delivery, and service ownership., • Represent Global IT in technical steering conversations with R&D, Product Infrastructure, and SecOps., • Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.What we're looking for, • 10+ years of experience in infrastructure, DevOps, platform engineering, or enterprise IT systems., • At least 3+ years leading technical teams in high-growth or scaled organizations., • Proven experience designing and operating CI/CD systems, infrastructure-as-code (Terraform or similar), and observability stacks., • Familiarity with integrating AI services or LLM APIs into business systems (e.g., OpenAI, Anthropic, Google Gemini, Glean)., • Strong understanding of platform scalability, service reliability, and engineering lifecycle automation., • Experience managing cloud infrastructure (AWS, GCP), container orchestration (Kubernetes, ECS), and developer platforms., • Ability to drive cross-functional collaboration and communicate technical priorities to both engineering and non-technical stakeholders., • A pragmatic and systems-thinking mindset—you look for patterns and build for scale., • You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.Nice to have, • Experience building internal developer platforms (IDPs) or platform-as-a-service environments., • Understanding of secure LLM patterns: embeddings, vector DBs, prompt injection defense, etc., • Familiarity with scripting languages (Python, TypeScript, Bash) and automation frameworks., • Exposure to enterprise SaaS management (Trelica, ConductorOne), endpoint MDM (Jamf, Intune), and RBAC tooling (Okta, GWS)., • Knowledge of RAG pipelines, LangChain, or Weaviate for internal AI workflows., • Past experience with cost optimization and performance tuning at the infrastructure layer. We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$200,000—$300,000 USD Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description Apiphani is a technology-enabled managed services company dedicated to redefining what it means to support mission-critical enterprise workloads. We're a small but rapidly growing company, which means there's lots of room for growth and learning opportunities abound! Apiphani is dedicated to creating a diverse and inclusive work environment for all as a fundamental component of our business. Diversity and inclusion are the bedrock of creativity and innovation. Without diversity of experience and thought, we would fail to progress as a company and as a team. Apiphani strives to foster an environment of belonging, where every employee feels respected, valued, and empowered. We embrace the unique experiences, perspective, and cultural background, which only you can bring to the table. Senior QA Engineer — Agentic AI Platform Location: Remote | Full-time | Competitive Compensation (EMEA) At Apiphani, we're building the future of infrastructure automation through agentic AI. As a Senior QA Engineer, you'll ensure the reliability and performance of our multi-platform ecosystem spanning web, desktop, and AI services. You'll work across a diverse tech stack — from TypeScript and Go to Python-based AI systems — establishing quality standards, driving automation, and ensuring smooth, production-ready releases. This role sits at the intersection of traditional QA and AI observability — perfect for someone eager to define modern testing practices for intelligent, agentic software systems. What You'll Do • Design, implement, and maintain comprehensive test strategies across multiple repositories and tech stacks, • Develop and execute end-to-end tests for our React/Express TypeScript applications using Cypress, • Create and maintain test plans for Go-based executables and terminal applications, • Perform REST API testing and validate integrations across services, • Conduct cross-platform testing across Linux and Windows environments, • Build and maintain automated pipelines in GitHub Actions for continuous quality validation, • Implement regression, smoke, and performance testing for release readiness, • Monitor and optimize AI service performance, observability, and prompt versioning using tools like LangSmith, • Establish benchmarks for AI endpoints and analyze results for improvement, • Collaborate closely with developers, DevOps, and product teams to resolve bugs before production, • Document QA procedures, findings, and quality metrics for visibility across teams, • Mentor junior QA engineers and champion best practices What We're Looking For • 5+ years in software QA, including 2+ years in a senior or lead role, • Strong proficiency with Cypress for E2E testing of React/TypeScript web apps, • Experience testing Go executables and desktop or CLI applications, • Proven experience with GitHub Actions and CI/CD automation, • Proficiency in REST API testing tools (Postman, Insomnia, etc.), • Hands-on experience testing AI/ML systems and observability platforms (LangSmith or similar), • Understanding of prompt engineering and version control for AI interactions, • Comfort working across Linux and Windows command-line environments, • Strong analytical, debugging, and documentation skills Bonus Points For • Experience with AWS infrastructure and cloud testing, • Familiarity with Python testing frameworks for AI/ML services, • Knowledge of performance and load testing tools (JMeter, K6, etc.), • Understanding of containerization and microservices testing (Docker, Kubernetes), • Experience with observability platforms such as Datadog or New Relic, • QA certifications (ISTQB or equivalent) Why Join Apiphani? You'll play a pivotal role in defining QA standards for next-generation agentic AI systems that span web, desktop, and cloud environments. This is an opportunity to shape quality practices for a platform that's reimagining how enterprise IT operates. You'll work with a highly technical, mission-driven team at the forefront of intelligent automation — where everything you ship matters. Base Salary€40.000—€55.000 EURCompany Benefits • Medical/dental/vision - 100% paid for employees, 50% paid for dependents, • Life and disability - 100% paid for employees, • 401K - 3% contribution, no employee contribution necessary, • Education and tuition reimbursement - up to $50K annually, • Employee Stock Options Plan, • Accident, critical illness, hospital indemnity benefits offered through our providers, • Employee Assistance Program, • Legal assistance, • Paid Time Off - up to 6 weeks per year, • Sick Leave - up to 2 weeks per year, • Parental Leave - up to 12 weeks

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. This position is perfect for an individual who enjoys solving the most complex problems across a portfolio of diverse domains and modalities. An ideal candidate is expected to apply classical autonomous techniques, algorithms, and theory to various platforms in multiple tactical scenarios. These solutions are expected to be integrated into real-world problems with near-term program impacts and rewards. Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. We aim to push the envelope by combining traditional autonomous systems algorithms with deep reinforcement learning-based solutions to deliver unmatched capability, agility, and speed in deploying advanced technologies that support national defenseWhat you'll do: • Tactical Autonomy Design – Design tactical autonomy algorithms to enable unmanned aircraft to perform complex missions across air, land, and sea domains with minimal human supervision., • High-Performance Software Development – Develop high-performance software modules that incorporate planning, decision-making, and behavior execution strategies for dynamic and adversarial environments., • Behavior Architecture Implementation – Implement and test behavior architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios., • Hybrid Autonomy Integration – Work at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods such as reinforcement learning to achieve robust, adaptive behavior., • Cross-Functional Collaboration – Collaborate with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms., • Deployment & Field Testing – Deploy autonomy capabilities to real platforms and participate in field tests and flight demos, validating performance in operationally relevant conditions., • Mission Data Analysis – Analyze mission logs and performance data to diagnose failures, optimize behavior models, and inform iterative development., • R&D and Roadmapping – Contribute to the autonomy roadmap by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission., • Program Support & Adaptation – Support defense-focused programs and customer needs by adapting autonomy solutions to evolving mission sets, compliance requirements, and operational feedback., • Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).Required Qualifications:, • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience, • Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience., • Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)., • Significant background in robotics technologies related to motion planning, behavior modeling, decision-making, or autonomous system design., • Significant experience with unmanned system technologies and accompanying algorithms (specifically air domain), • Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation., • Strong problem-solving skills, with the ability to troubleshoot and optimize system performance., • Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment., • Ability to obtain a SECRET clearance. Preferred Qualifications:, • Experience applying ML/RL techniques in autonomy pipelines., • Background in collaborative behaviors, swarm robotics, or distributed decision-making., • Familiarity with tactical behaviors for unmanned systems in DoD or government programs., • Work on behaviors applicable across air, ground, and maritime vehicles., • Hands-on experience supporting flight demos or live exercises. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 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 The Computational Sensing team at MERL is seeking a highly motivated Ph.D. student for a research internship in machine learning for fluid dynamics, focusing on surrogate modeling of free-surface flows in engineered geometries. The goal of this project is to develop geometry-aware and physics-informed surrogate models for complex flow systems, combining high-fidelity simulations with modern neural architectures. The ideal candidate will be a Ph.D. student in engineering, applied mathematics, computer science, or related fields with a solid background and publication record in any of the following areas: operator learning, graph neural networks and geometric learning, particle-based methods, or differentiable simulation frameworks. Programming skills in Python and experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX are required. Publication of the results obtained during the internship is expected. The duration is anticipated to be at least 3 months with a flexible start date. The pay range for this internship position will be $6-8K per month. Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered “at-will,” and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

Job DescriptionThe Elevator Pitch Are you a Senior SQA Engineer who thrives in a dynamic, fast-paced environment testing both hardware and software? Do you want to help validate new hardware, firmware, and software for Evolv’s Express and Expedite products—and play a critical role in supporting our growing fleet in the field? Evolv is seeking a Senior SQA Engineer to design test plans, validate new features, and ensure quality across our physical product lines. This role is essential for qualifying new hardware, supporting existing systems in production, and driving quality across Express, Expedite, and Evolv’s next-generation platforms. Success in the Role: What performance outcomes will you work toward completing? In 30 days, you will: • Develop a top-to-bottom understanding of Evolv’s product ecosystem, with emphasis on the Express platform architecture, core features, and system behavior., • Execute manual regression and functional testing, validating new and existing capabilities., • Learn Evolv’s SQA toolchain, including automation frameworks, CI/CD workflows, and SDLC processes., • Become proficient in Jira, TestRail, and internal reporting practices., • Debug failing test cases, file high-quality defect tickets, and collaborate across engineering to assess risk and root cause. In 3 months, you will: • Become a go-to engineer for manual testing across key functional areas of the Express and Expedite platforms., • Contribute to the automation roadmap, identifying high-value areas for automated coverage., • Recommend process or tooling improvements that increase efficiency, coverage, and product quality., • Lead or support release-readiness testing, delivering clear quality assessments for Express releases. Within 12 months, you will: • Become a subject-matter expert (SME) across multiple functional areas of Express and Expedite., • Serve as a trusted technical resource, evaluating design and code changes and anticipating cross-functional risks., • Influence new feature design by providing critical SQA insight, ensuring quality, reliability, and performance expectations are met. The Work: What type of work will you be doing a regular basis? As a Senior SQA Engineer, you will validate complex systems which combine hardware, embedded firmware, networking, and cloud connectivity. Your work will span hands-on testing, debugging, analysis, collaboration, and continuous improvement. Core responsibilities include: Hardware and Software Integration: • Test physical Evolv systems across multiple configurations, tablets, sensors, and hardware variants., • Validate new hardware components, microcontroller interactions, and embedded system performance., • Own regression, functional, and end-to-end system testing for Express and Expedite., • Evaluate product behavior across on-device software, hardware modules, and Portal connectivity., • Shape automation strategy alongside automation engineers., • Identify test cases for automation based on risk, regression frequency, and system impact., • Validate Wi-Fi and Ethernet communication between scanners, tablets, and Evolv’s Portal., • Analyze and debug network issues involving packet loss, interference, latency, or connectivity failures., • 802.11 standards (a/b/g/n/ac/ax), • Wi-Fi roaming, SNR, RSSI, and interference, • WPA2/WPA3 security behavior, • DHCP, DNS, NAT, port forwarding, • Lead bug triage, isolate root causes, and collaborate with development to find solutions., • File precise, high-quality defect reports with reproducible steps and clear analysis., • Support or lead release-readiness testing and validation., • Ensure releases meet quality gates, coverage requirements, and reliability standards., • Work closely with developers, hardware engineers, product managers, and automation engineers., • Provide early feedback during feature planning to reduce downstream risk., • Contribute to documentation, training materials, and continuous process improvement. What is the leadership like for this role? What is the structure and culture of the team? You’ll be joining a seasoned group of SQA Engineers (Principal, Senior, and Staff) who bring deep expertise across both manual and automated testing. This role reports directly to the Senior Director of SQA, an experienced engineering leader who values clarity, accountability, and collaborative problem-solving. The team is grounded in Evolv’s values: Do the Right Thing, Put People First, Own It, Win Together, and Be Bold/Stay Curious. This is a group that supports one another, moves quickly, communicates openly and operates with a strong commitment to deliver high quality products that directly impact customer safety and experience. Where is the role located? This role is based onsite out of the HQ in Waltham, Massachusetts with some flexibility in being remote some days. Compensation and Transparency Statement The base salary range for this full-time position is $108,000- $172,000. In addition to base salary, this role offers a competitive target bonus, equity, and a comprehensive benefits package. This range reflects our commitment to pay transparency and equity, in alignment with applicable state laws. Our compensation ranges are determined based on factors such as role, level, location, market benchmarks, and internal equity. The posted range represents the good-faith estimate of what we expect to pay for this role across U.S. locations. Actual compensation within the range will be based on the candidate’s skills, experience, education, and geographic location. In accordance with state and local pay transparency laws—including those in California, Colorado, Massachusetts, New York, New Jersey, and others—we disclose salary ranges in all job postings and provide additional information upon request. During the hiring process, your recruiter will share: • The specific salary range for your preferred location, • A general overview of our benefits and equity offerings, • Insights into how compensation decisions are made, including factors that influence starting pay We are committed to fair pay practices, and we regularly review our compensation programs to ensure they are competitive, equitable, and aligned with our values. Requirements Wi-Fi & Networking Expertise • Strong understanding of 802.11 Wi-Fi standards (a/b/g/n/ac/ax) and wireless system behavior., • Experience analyzing and troubleshooting:, • Wi-Fi roaming and handoffs, • RSSI, SNR, interference, • Latency, jitter, throughput, and packet loss, • Hands-on experience configuring and debugging secure networks (WPA2/WPA3)., • Proficiency with tools like Wireshark, iPerf, and packet analysis utilities., • Experience testing hardware/software systems, microcontrollers, and embedded platforms., • Strong manual testing skills for functional, regression, and system-level validation., • Experience writing or contributing to automated test scripts (Python preferred)., • Proficiency with Jira, TestRail, Git, GitHub, CI/CD pipelines, and Agile methodologies (Scrum/ Kanban)., • Experience supporting or leading release-readiness processes. Bachelor’s degree in Computer Science, Electrical or Systems Engineering, or equivalent experience. Benefits At Evolv, we’re on a mission to help make public spaces safer through innovative security technology. So, we're looking for future teammates who embody our values, people who: • Do the right thing, always;, • Put people first', • Own it;, • Win together; and continue to, • Be bold, stay curious. Our Benefits Include: • Equity as part of your total compensation package, • Medical, dental, and vision insurance, • Health Savings Account (HSA), • A 401(k) plan (and 2% company match), • Flexible Paid Time Off (PTO)- take the time you need to recharge, with manager approval and business needs in mind, • Quarterly stipend for perks and benefits that matter most to you, • Tuition reimbursement to support your ongoing learning and development Evolv is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. If you need a reasonable accommodation as part of the job application process, please connect with us at . Evolv participates in E-verify for all employees after the completion of Form I-9.

Job DescriptionPickle is on the hunt for a dynamic and driven Senior Machine Learning Engineer to revolutionize the future of warehouse automation. This role will focus on advancing our perception stack by refining our data engines, architecting robust 2D/3D vision models, and deploying them to production hardware to ensure our robots handle the chaotic reality of the physical world.Responsibilities: • Architect Multi-Modal Vision Systems: You will design and train models that fuse 2D inputs with 3D geometry to solve complex grasping and scene understanding tasks., • Lead End-to-End Model Deployment: You will own the transition from research to reality. This includes model graph optimization, quantization (TensorRT), and runtime integration to ensure low-latency inference on our edge compute hardware (NVIDIA Orin)., • Drive Technical Excellence: As a senior member of the team, you will conduct rigorous code reviews, mentor junior engineers, and contribute to the strategic perception roadmap., • Own the Data Strategy: You will take ownership of our existing labeled dataset and pipeline. You will identify bottlenecks, improve data quality, implement active learning strategies to systematically resolve edge cases and improve model robustness., • Ensure Production Reliability: You will write high-performance production code (Python/C++) to seamlessly integrate perception outputs into the broader robotic control stack, prioritizing safety and system stability.Skills:, • 5+ Years of Experience in Computer Vision and Machine Learning, with a track record of shipping ML products to the physical world (Robotics, AV, or IoT)., • Expert-level Python and PyTorch skills. Working knowledge of C++ for deployment and system integration., • Experience with 2D Vision (YOLO, MaskRCNN, Transformers) and 3D Vision (PointNet, grasp generation, multi-view geometry, camera calibration)., • You are proficient with inference optimization tools such as TensorRT, ONNX Runtime, or CUDA to maximize hardware utilization., • You have experience curating large-scale datasets, detecting statistical bias, and automating quality assurance within the ML pipeline., • You can translate high-level product requirements into specific engineering tasks and explain technical trade-offs to non-expert stakeholders.

Job DescriptionAbout Eyebot Eyebot is an outcome-focused technology company on a mission to make vision care accessible to everyone, equally. Headquartered in Boston’s North End and backed by top investors and the National Science Foundation, our vision test kiosk is reshaping how vision care is delivered. If you are passionate about solving big problems and building the future of vision care, we would love to hear from you. About The Role We are looking for a multidisciplinary R&D engineer to advance the accuracy and automation of our kiosks and strengthen our algorithms. You'll work closely with our engineering team to refine concepts and bring meaningful improvements to our kiosks. This role involves consistent collaboration with our research and development and software engineering teams. Note: This is a full-time, onsite role based in Boston’s North End. We work together five days a week to support rapid prototyping and cross-functional collaboration. What You’ll Do: * Work hands-on to advance the accuracy, reliability, and automation of Eyebot’s vision-testing technologies. * Design, prototype, and evaluate new algorithms across computer vision, machine learning, optical estimation, and signal processing. * Translate research concepts into deployable software by collaborating closely with our software engineering team. * Build experimental setups, electromechanical test rigs, and simulation tools to validate ideas in both controlled and real-world conditions. * Develop benchmarking frameworks and performance metrics to rigorously evaluate our imaging, detection, and recommendation pipelines. * Explore and compare traditional computer-vision techniques with ML-based approaches; drive decision-making with clear technical evidence. * Run structured experiments to identify sources of variation, improve robustness, and strengthen the scientific foundations of Eyebot’s core products. * Work cross-functionally with engineering, product, and operations to translate scientific insights into product-level improvements. What We're Looking For:Required Qualifications * Minimum 5+ years of post-bachelor’s research or industry experience (postdoctoral experience may be included). * Programming experience (Python, C++, or similar) * Experience in vision systems and image processing. * Experience building and designing experiments. * Hand on experience with, * Embedded linux platforms (Jetson, Raspberry Pi, etc.) * Image sensor, camera interfaces, general optical alignment * Prototyping with 3D printers, laser cutters, etc. Preferred Qualifications: * Familiarity with medical device development and compliance. * Background in optical calibration methodologies. * Experience with real world machine learning techniques. * Strong documentation habits, including the ability to clearly record design decisions, test results, and calibration procedures. Personality * You are energized by fast-paced environments and excited to grow with a startup that is scaling quickly. * You take ownership of your work and care deeply about quality. * You hold yourself and your teammates to a high bar. * You follow through on commitments and take responsibility for outcomes. * You bring a low ego, collaborative mindset. You are easy to work with, open to feedback, and able to keep perspective even when things don't go according to plan. What We Offer: * Starting target salary in the range of $120,000 to $140,000, along with meaningful equity. * Flexible work schedule with unlimited PTO * A culture where every idea is welcome, no matter how out there it sounds — that’s how Eyebot got started * Full health, dental, and vision insurance * Commuter support and wellness benefits * A collaborative office environment in Boston’s North End, with regular team lunches and a great waterfront location * The chance to build products that improve lives and redefine how vision care is delivered

Job Description We are currently seeking a Lead Scientist / Engineer with a PhD in Systems & Control, Biomedical Engineering, Applied Mathematics, or a related quantitative field, and 5–6+ years of experience in applied modeling and estimation. This role will function as a senior member of the company’s algorithm team. It will involve designing and implementing Etiometry’s next-generation physiologic risk and treatment-prediction algorithms. The position will require close collaboration with Etiometry’s data science, product, and clinical teams to translate physiologic and clinical requirements into real-time decision support tools deployed in the ICU. Responsibilities * Lead the design, implementation, and validation of algorithms that predict patient trajectories and responses to interventions (e.g., fluids, vasoactives, ventilator changes). * Extend Etiometry’s existing ODE-based physiologic models with advanced estimation methods (e.g., Kalman filters, Bayesian inference, particle filters). * Integrate data-driven approaches (e.g., neural networks, probabilistic ML, hybrid mechanistic/ML frameworks) with classical physiology-based models. * Translate physiologic and clinical requirements into quantitative risk indices for FDA-regulated software. * Work with real-world ICU data, including physiologic waveforms, vital signs, and laboratory values. * Mentor junior scientists and collaborate with engineers, clinical experts, and regulatory affairs to bring models from research → cleared product. Basic Qualifications * PhD in Systems & Control, Biomedical Engineering, Applied Mathematics, Electrical/Mechanical Engineering, or a related field. * 5–6+ years of experience (industry or postdoctoral) in applied modeling, estimation, or control systems. * Strong background in dynamical systems & ODE/PDE modeling. * Strong background in state estimation techniques (Kalman filters, stochastic processes, Bayesian methods). * Working knowledge of machine learning (neural networks, probabilistic ML, data-driven system identification). * Proficiency in scientific computing in Python (NumPy, SciPy, PyTorch, TensorFlow). * Strong communication and organization skills. * Proven ability to work in cross-disciplinary teams and translate theory into applied solutions. Desired Qualifications * Experience working with clinical monitoring data (ICU waveforms, vital signs, laboratory data, EHR integration). * Familiarity with computational physiology or biomedical modeling. * Knowledge of medical device software lifecycle (IEC 62304, FDA 510(k)). * Experience mentoring junior scientists or leading research projects. About Etiometry Etiometry is the market leader in predictive analytics for the Intensive Care Unit. Our system leverages real-time patient data to provide clinicians with actionable information that improves care for the most vulnerable patients. In use at some of the best medical institutions across three continents, the Etiometry Platform has a proven track record in improving outcomes while reducing hospital costs. Our next generation of algorithms will go beyond monitoring risk to forecasting how treatments will affect patient physiology — giving clinicians foresight to guide critical interventions. By joining Etiometry, you will be at the forefront of clinical innovation, working with a passionate team of engineers and scientists with the mission of transforming the delivery of critical care. You will become an integral part of a dynamic team whose work will directly impact patients worldwide and shape the future of ICU analytics.

Job Description Mission: We are seeking a highly skilled and motivated Senior Data Analysis Engineer for our large-scale AI model and software evaluation framework – Ground Truth Regression. The ideal candidate will have a strong background in data engineering, machine learning principals and statistical analysis. At Motional, large scale orchestration for data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of developers and deployed multiple times a day – The Ground Truth Regression team provides the large scale perception analysis framework for validating all changes to perception which can impact the autonomous vehicle behavior. The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis, and safety consideration. We monitor for model errors, anomalies, rare objects & long-tail driving scenarios across thousands of driving hours. The team develops the full stack – AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UI's. The team works together with all other perception and ML teams to develop the metrics and analyze results. What You'll Do: • Work with ML Engineers and Autonomy Software Developers to develop new data analysis metrics and KPI's for the validation of the autonomous vehicle performance., • Drive innovation by researching and developing new large scale data analysis systems., • Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software., • Build high-quality datasets to improve ML products through training & edge case validation., • Bachelor's or Master's degree in Computer Science, Data Science, or a related field., • Strong programming skills in Python, SciPy, and related data analysis frameworks., • Experience in machine learning, data mining, and statistical analysis., • Experience with large-scale data processing and distributed computing technologies., • Strong communication and software development skills: goal setting, design documentation, test frameworks, collaborative cross team development. Bonus Points: • Ph.D. in Computer Science or a related field., • Experience with cloud platforms such as AWS, Google Cloud, or Azure., • Experience with machine learning in the autonomous driving domain. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$159,000—$207,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job DescriptionOverviewExtropic is hiring an Analog/Mixed-Signal Engineer to help accelerate our hardware development. The ideal candidate would be someone with a deep understanding of Analog/Mixed signal design and needs to have a solid understanding of CMOS device characteristics, noise, mismatch, linearity and design trade-offs.Required Experience • Experience designing analog blocks (Comparator, op-amp, reference/bias generation, LDO regulators, filters, switch-cap, and data converters), • Experience in design and layout of high-speed analog circuits (Frequency dividers, oscillators, and PLLs), • In-depth knowledge of analog mixed-signal concepts (Noise, linearity, stability, low-power, and low-noise techniques), • Deep understanding of reliability issues and layout effects, such as electro-migration (EM), and strategies to mitigate them, • Experience in lab-testing of mixed-signal circuits and experience using signal generators, spectrum analyzers, and oscilloscopes, • Comprehensive simulation skills in Cadence (PEX, Monte-Carlo, and Corner analysis), • Experience in supporting project tape-out verification (DRC, ERC, and LVS), • Proficiency in pre-silicon validation and top-level mixed-signal design simulations, • Experience in designing with modern CMOS technologyPreferred Experience, • Strong programming skills (Python and C)

Job DescriptionCompany Description About CyberArk: CyberArk (NASDAQ: CYBR), is the global leader in Identity Security. Centered on privileged access management, CyberArk provides the most comprehensive security offering for any identity – human or machine – across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. The world’s leading organizations trust CyberArk to help secure their most critical assets. To learn more about CyberArk, visit our CyberArk blogs or follow us on X, LinkedIn or Facebook. Job Description CyberArk is the global leader in privileged access security, a critical layer of IT security to protect data, infrastructure and assets across the enterprise, in the cloud and throughout the DevOps pipeline. CyberArk delivers the industry’s most complete solution to reduce risk created by privileged credentials and secrets. The company is trusted by the world’s leading organizations, including more than 50 percent of the Fortune 100, to protect against external attackers and malicious insiders. Job Description: CyberArk is seeking a Staff Site Reliability Engineer looking to bring their knowledge, excitement, and energy to the team. If you have worked in the cloud solving scale problems, bringing visibility into your platform and accomplishing true CI/CD pipelines we want you on the team! Driven and excited to innovate is what we need all while allowing you to grow professionally and creating strong relationships that will last a lifetime. Responsibilities: * Design Implementation of AWS infrastructure components such as VPCs, EC2, EKS, S3, tagging schemes, CloudFormation, etc. * Lead architecture, designs and feature analysis of deployment and management automation of cloud-based infrastructure and software * Provide guidance to Site Reliability and DevOps Engineers on managing the reliability and performance of SaaS environments as well as on building automation to prevent problem reoccurrence * Architecting and guiding the team with the use of configuration management tools in both Windows and Linux - CloudFormation, Helm, Terraform, Salt, Ansible * Ensuring cloud-based architectures meet availability and recoverability requirements * Architecture and implementation of cloud-based monitoring, alerting and reporting – Datadog, CloudWatch, ELK * Support and guidance on tooling that helps to enable teams for greater output and reliability. * Deep understanding of the latest tech solutions, trends, and ability to dive into the details of the architecture as needed. * Work with the Team Leads within the group to identify areas of improvement, prepare architecture road maps, and advocate to the Product Management group. #LI-JH1 Qualifications * B.S. in Computer Science or equivalent experience * Minimum 4 years of experience managing AWS infrastructure * Minimum of 7 years in a senior, architect or a technical lead role of site reliability, systems engineering or software development * A deep understanding of Site Reliability, infrastructure and Cloud Platform * Expert understanding/experience of containerization services such as Docker/Kubernetes * Expert in observability tooling such as Datadog, Grafana, Elasticsearch * Solid understanding/experience of web services, databases and relating infrastructure/architectures * Solid understanding of backup/restore best practices * Strong level of expertise programming writing configuration management languages * Strong level of expertise programming in Python / Java or equivalent language * Excellent Troubleshooting Skills * Experience supporting an enterprise-level SaaS environment * Security Experience a plus * Experience applying AI/ML-driven approaches to observability, anomaly detection, capacity planning, or reliability improvements is a plus Additional Information CyberArk is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status. We are unable to sponsor or take over sponsorship of employment Visa at this time. The salary range for this position is $126,000 – $185,000/year, plus commissions or discretionary bonus, which will be based on the employee’s performance. Base pay may also vary considerably depending on job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits.

Job DescriptionAt WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. We are seeking a Staff MLOps Platform Engineer to join The Data Platforms & MLOps Team. This role focuses on building durable machine learning platforms that enable teams across WHOOP to develop, deploy, and operate models safely and at scale. You will design systems that prioritize reliability, observability, and developer velocity, serving as the backbone for WHOOP’s machine learning ecosystem. In this role, you will operate as a senior individual contributor with broad platform ownership. Your work will multiply the effectiveness of data scientists and ML engineers by abstracting complexity, establishing standards, and creating self service capabilities that support experimentation and production workloads across the company.RESPONSIBILITIES: • Architect, build, own, and operate scalable ML infrastructure in cloud environments (e.g., AWS), optimizing for speed, observability, cost, and reproducibility., • Create, support, and maintain core MLOps infrastructure (e.g., MLflow, feature store, experiment tracking, model registry), ensuring reliability, scalability, and long-term sustainability., • Develop, evolve, and operate MLOps platforms and frameworks that standardize model deployment, versioning, drift detection, and lifecycle management at scale., • Implement and continuously maintain end-to-end CI/CD pipelines for ML models using orchestration tools (e.g., Prefect, Airflow, Argo Workflows), ensuring robust testing, reproducibility, and traceability., • Partner closely with Data Science, Sensor Intelligence, and Data Platform teams to operationalize and support model development, deployment, and monitoring workflows., • Build, manage, and maintain both real-time and batch inference infrastructure, supporting diverse use cases from physiological analytics to personalized feedback loops for WHOOP members., • Design, implement, and own automated observability tooling (e.g., for model latency, data drift, accuracy degradation), integrating metrics, logging, and alerting with existing platforms., • Leverage AI-powered tools and automation to reduce operational overhead, enhance developer productivity, and accelerate model release cycles., • Contribute to and maintain internal platform documentation, SDKs, and training materials, enabling self-service capabilities for model deployment and experimentation., • Continuously evaluate and integrate emerging technologies and deployment strategies, influencing WHOOP’s roadmap for AI-driven platform efficiency, reliability, and scale.QUALIFICATIONS:, • Bachelor’s or Master’s Degree in Computer Science, Engineering, or a related field; or equivalent practical experience., • 5+ years of experience in software engineering with a focus on ML infrastructure, cloud platforms, or MLOps., • Strong programming skills in Python, with experience in building distributed systems and REST/gRPC APIs., • Deep knowledge of cloud-native services and infrastructure-as-code (e.g., AWS CDK, Terraform, CloudFormation)., • Hands-on experience with model deployment platforms such as AWS SageMaker, Vertex AI, or Kubernetes-based serving stacks., • Proficiency in ML lifecycle tools (MLflow, Weights & Biases, BentoML) and containerization strategies (Docker, Kubernetes)., • Understanding of data engineering and ingestion pipelines, with ability to interface with data lakes, feature stores, and streaming systems., • Proven ability to work cross-functionally with Data Science, Data Platform, and Software Engineering teams, influencing decisions and driving alignment.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. This position is ideal for an individual who thrives on solving complex integration challenges that span hardware, software, and systems engineering. A successful candidate will be skilled at deploying autonomy solutions onto unmanned platforms, preparing systems for flight, and troubleshooting mission-critical issues in both lab and field environments. The role is highly dynamic, requiring hands-on experience, strong systems thinking, and the ability to operate effectively in fast-paced, real-world test conditions. Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Flight Integration Engineers are essential to bridging the gap between R&D and deployment, ensuring that autonomous systems function reliably and effectively when and where they are needed most.What you'll do: • System Integration & Deployment — Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces., • Pre-flight Preparation — Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness., • On-site Flight Test Support — Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints., • Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments., • Flight Data Capture & Analysis — Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements., • Collaboration Across Teams — Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly., • Continuous Improvement — Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles., • Support Certification and Compliance — Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments., • Travel Requirement – Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events).Required Qualifications:, • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience, • Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience., • Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)., • Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics., • Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS)., • Hands-on experience supporting flight demos or live exercises., • Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation., • Strong problem-solving skills, with the ability to troubleshoot and optimize system performance., • Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment., • Ability to obtain a SECRET clearance. Preferred Qualifications:, • Direct experience supporting unmanned aerial systems or similar flight test campaigns., • Familiarity with autonomy stacks, flight control systems, or GNC pipelines., • Competence in sensor integration, electronics debugging, or avionics bring-up., • Proficiency in developing automation tools for system testing, logging, and data parsing., • Comfortable interfacing with DoD stakeholders during field events or technical reviews. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 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 Mission Summary: As a seasoned expert in Perception Capabilities, you'll field cutting-edge software products and solutions using state-of-the-art computer vision and deep learning. Your breadth of experience spans critical problem areas like detection, classification, segmentation, and tracking, along with essential supporting functions such as data engines, labeling policies, training pipelines, model optimization, simulation, and testing. You're driven by seeing your work significantly impact the product, taking initiative and owning outcomes. You're eager to apply these skills to the perception stack of self-driving vehicles. You understand the unique challenges of safety-critical, open-world applications and are committed to ensuring engineering excellence and rigorous evaluation. You'll devise creative solutions to complex problems, collaborating with interdisciplinary, capability-focused teams across the organization to design, implement, and validate end-to-end solutions. What you'll be doing: • Lead the development and implementation of solutions that span across perception components and directly interface with downstream modules in the autonomy system., • Analyze the performance of the perception subsystem to proactively identify potential limitations with respect to a set of system-level capabilities. Document potential hazards and lead the cross-team efforts to eliminate or mitigate them., • Collaborate on innovative solutions to address "long tail" challenges. For example, developing techniques for synthetic data generation, advanced data mining, or leveraging language embeddings in our onboard models., • Depending on your background and interests, you may also help optimize and deploy models to the vehicle, ensuring they operate within the constraints of our onboard hardware and meet our functional requirements and interface specifications., • Master's or Ph.D. in Machine Learning, Computer Science, Robotics, or a related field; or equivalent industry experience, • Strong leadership skills in executing large, complex technical initiatives, • Track record of successful interdisciplinary work and product-focused engineering, • Broad understanding of Deep Learning algorithms, architectures, and applications, • Experience designing, training, and analyzing neural networks for applications relevant to perception, • Fluency in Python, including common libraries for deep learning (PyTorch), scientific computing, and data analysis and visualization, • Advanced knowledge of software engineering principles, including software design, source control management, build processes, code reviews, and testing methods, • Excellent communication and interpersonal skills, • Experience shipping a "real" product and balancing ongoing support with next-generation innovation, • Experience developing safety-critical products or components, • Publications in relevant conferences (CVPR, ICML, NeurIPS, etc.), • Strong programming skills in C++ and/or CUDA programming Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$200,000—$285,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job Description Blue Matter is a rapidly growing management consultancy focused on the biopharmaceutical industry. We partner with clients to help them achieve commercial success across the lifecycle of their products, portfolios, and organizations. Blue Matter wishes to hire for the Technology and Operations Practice within the Blue Matter Insights Team. Our Technology & Operations practice integrates strategy, data, and AI to deliver scalable, technology-enabled solutions that enhance commercial and operational effectiveness for biopharma clients. As part of this growth, the practice is developing a category-defining AI-first platform called Twine — designed to modernize how life sciences companies manage insights, decisions, and operational workflows across the enterprise. The successful candidate will play a direct role in shaping, enhancing, and scaling Twine as a core capability within our portfolio. We are seeking an entrepreneurial Technology Manager / Associate Principal to help grow our Technology & Operations practice on the East Coast. This leader will bridge strategy and technology, driving innovation and execution across data and AI programs that transform client operations. The role is both strategic and hands-on. You will oversee project delivery, build regional client relationships, mentor delivery teams, and provide technical leadership — while also contributing to the architecture and product evolution of Twine, Blue Matter’s AI-first platform for life sciences. 1. Delivery & Team Leadership (50%) • Lead end-to-end project delivery for complex technology engagements, ensuring excellence across scope, timelines, and budget., • Serve as the technical and delivery owner for multi-disciplinary projects involving data engineering, AI, and analytics., • Provide hands-on leadership in solution design, architecture, modeling, and deployment oversight., • Manage and mentor a growing East Coast-based technology team., • Coordinate delivery between onshore and offshore teams., • Contribute to the enhancement, scalability, and go-to-market buildout of Twine., • Promote a culture of accountability, innovation, and technical excellence.2. Client Engagement & Business Development (30%), • Serve as a strategic advisor to senior life sciences stakeholders., • Strengthen and expand East Coast client relationships., • Lead proposal development, capability presentations, and account growth efforts., • Translate complex client problems into platform-enabled technology solutions., • Support expansion of Twine-powered offerings across client accounts.3. Technology & Innovation (20%), • Design and implement modern data warehouses, lakes, and analytics platforms on AWS / Azure / GCP., • Architect agentic AI solutions for commercial, operational, and market-facing use cases., • Develop data pipelines and enterprise-grade APIs., • Guide development of analytics and decision automation layers., • Feed emerging capabilities into the ongoing Twine product roadmap.Qualifications, • Master’s degree in Engineering, Computer Science, Information Technology, or related field., • 11+ years of experience in technology consulting, life sciences analytics, or enterprise data architecture., • Proven track record leading and delivering large-scale data and AI initiatives in cloud environments (AWS, Azure, GCP)., • Proficiency in SQL, Python, Spark, and Databricks., • Familiarity with agentic AI architecture and LLM-based solution design., • Deep understanding of life sciences datasets (IQVIA, claims, CRM, lab data)., • Executive presence with strong communication and client advisory skills., • Experience with governance and compliance frameworks (HIPAA, GDPR, GxP)., • Background in biopharma analytics, digital transformation, or commercialization., • Expertise in API architecture or AI agent orchestration., • Prior involvement in platform product development or GTM strategy. Compensation: Base salary range: $200,000 - $280,000 per year, plus incentive compensation Benefits Package: * 401k - generous employer match with immediate vesting and financial planning resources * Comprehensive medical, dental and vision coverage options effective day 1 of employment * Flexible spending account (FSA) or Health Savings Account (HSA) * Company paid insurances including Short- and Long-Term Disability and Life insurance as well as additional voluntary options * Paid parental leave for all new parents * Health & Wellness Benefit (e.g., gym memberships; $1000 reimbursement annually) * Employee Assistance Program * Generous paid time off including vacation, sick days, floating and company holidays Blue Matter is an equal opportunity employer and does not discriminate against otherwise qualified applicants on the basis of race, color, religion, ancestry, age (40 and over), sex (including gender identity, sexual orientation and pregnancy), national origin, disability, marital status, parental status, genetic information, political affiliation, protected veteran status, or any other characteristic protected by law. 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Job Description Apiphani is a technology-enabled managed services company dedicated to redefining what it means to support mission-critical enterprise workloads. We're a small but rapidly growing company, which means there's lots of room for growth and learning opportunities abound! Apiphani is dedicated to creating a diverse and inclusive work environment for all as a fundamental component of our business. Diversity and inclusion are the bedrock of creativity and innovation. Without diversity of experience and thought, we would fail to progress as a company and as a team. Apiphani strives to foster an environment of belonging, where every employee feels respected, valued, and empowered. We embrace the unique experiences, perspective, and cultural background, which only you can bring to the table. Job Description Windows Administrator is responsible for the administration, maintenance, and optimization of client Microsoft Windows Server environments and end user devices. The role is Senior level with a strong focus on automation and leveraging automated solutions to address repeatable support tasks and activities. Apiphani is a managed services provider, and this position is client facing. The Windows Administrator is part of a Windows Engineering team and reports into the Manager of Infrastructure. This role requires the individual to be a U.S. citizen working on U.S. soil. Job Duties • Proactively maintain Microsoft Windows Server environments in support of managed client workloads., • Engineer systems solutions for both enterprise application and infrastructure client environments., • Support and Maintain automated OS and application patching for servers., • Active Directory users/group management, • Monitor automation performance and optimize where necessary., • Drive continuous improvement in systems operations through tool-building and automation., • Participate in the development of technology and services roadmaps., • Execute against defined projects and report on their progress., • Perform root cause analysis, in collaboration with application and delivery teams., • Meet with apiphani stakeholders and external clients to develop relationships and foster co-innovation opportunities., • Serve as a third level for backups Infrastructure., • Support and mentor junior team members as needed., • Support Off business hours maintenance activities as needed. Required Skills • Bachelor of Science in Computer Science, Engineering, Applied Sciences, or equivalent work experience., • 5+ years of experience in relevant hands-on systems engineering and administration in servers, networking, and operating systems; with heavy emphasis on Windows Server platforms and associated Microsoft and other technologies., • 3+ years of experience as a senior or lead engineer for service provider or enterprise IT organization operating in a 24/7 environment with mature IT processes., • Strong systems engineering fundamentals (networking, storage, operating systems)., • Strong experience with WSUS, deployment automation tools like SCCM/MECM or Tanium (Preferred)., • Experience with Active Directory, DNS and group policy., • Experience with automation, configuration management, and various utilities., • Automation experience with scripting languages such as PowerShell, VBScript, JavaScript, or Python, • Experience with one or more ticketing systems (ServiceNow preferred)., • Experience with monitoring systems and performance management related to IT systems/solutions., • Good understanding to tackle all kind of Security vulnerabilities related to OS, EUC and VMware., • Good understanding of Public Cloud concepts, AWS & Azure, • Provide documentation and update internal knowledgebase articles., • Ability to follow IT change management governance & process., • Certifications from Microsoft, VMware, or Cloud related technology areas are preferred., • Strong analytical and critical thinking skills, Deadline and detail-oriented, strong ownership bias Not required but viewed as a plus: • Experience with VMware technologies such as vSphere., • Familiarity with relational databases such as MS SQL Server, • Familiarity with agile engineering practices (Kanban, continuous delivery, etc.), • Exposure to cloud technologies such as AWS or AzureBase Salary$60,000—$80,000 USDCompany Benefits, • Medical/dental/vision - 100% paid for employees, 50% paid for dependents, • Life and disability - 100% paid for employees, • 401K - 3% contribution, no employee contribution necessary, • Education and tuition reimbursement - up to $50K annually, • Employee Stock Options Plan, • Accident, critical illness, hospital indemnity benefits offered through our providers, • Employee Assistance Program, • Legal assistance, • Paid Time Off - up to 6 weeks per year, • Sick Leave - up to 2 weeks per year, • Parental Leave - up to 12 weeks

Job Description About Care Access Care Access is working to make the future of health better for all. With hundreds of research locations, mobile clinics, and clinicians across the globe, we bring world-class research and health services directly into communities that often face barriers to care. We are dedicated to ensuring that every person has the opportunity to understand their health, access the care they need, and contribute to the medical breakthroughs of tomorrow. With programs like Future of Medicine, which makes advanced health screenings and research opportunities accessible to communities worldwide, and Difference Makers, which supports local leaders to expand their community health and wellbeing efforts, we put people at the heart of medical progress. Through partnerships, technology, and perseverance, we are reimagining how clinical research and health services reach the world. Together, we are building a future of health that is better and more accessible for all. To learn more about Care Access, visit . How This Role Makes a Difference We are seeking an experienced and detail-oriented professional to join our team as a Sr. Data Engineer. In this pivotal role, you will be responsible for designing, developing, and maintaining robust data pipelines that ensure the reliable ingestion, transformation, and delivery of complex data (demographics, medical, financial, marketing, etc.) across systems. The ideal candidate will bring deep expertise in Databricks, SQL, and modern data engineering practices, along with strong collaboration skills to help drive excellence across our data infrastructure. How You'll Make An Impact Data Engineering Strategy and Architecture: • Design and implement scalable, reliable, and efficient data pipelines to support clinical, operational, and business needs., • Develop and maintain architecture standards, reusable frameworks, and best practices across data engineering workflows., • Optimize data storage and processing in data lakes and cloud data warehouses (Azure, Databricks)., • Develop and monitor batch and streaming data processes to ensure data accuracy, consistency, and timeliness., • Work cross-functionally with analysts, data scientists, software engineers, and business stakeholders to understand data requirements and deliver fit-for-purpose data solutions., • Review and refine work completed by other team members, ensuring quality and performance standards are met., • Use Databricks, DBT, Azure Data Factory, and SQL to architect and deploy robust data engineering solutions., • Integrate APIs, structured/unstructured data sources, and third-party systems into centralized data platforms., • Continuous Improvement: Proactively suggest improvements to infrastructure, processes, and automation to improve system efficiency, reduce costs, and enhance performance. The Expertise Required, • Strong expertise in Databricks, SQL, dbt, Python, and cloud data ecosystems such as Azure., • Experience working with structured and semi-structured data from diverse domains., • Familiarity with CI/CD pipelines, orchestration tools (e.g., Airflow, Azure Data Factory), and modern software engineering practices., • Strong analytical and problem-solving skills, with the ability to address complex data challenges and drive toward scalable solutions. Certifications/Licenses, Education, and Experience:, • Bachelor's or master's degree in computer science, Information Systems, Engineering, or a related field., • 5+ years of experience in data engineering with a proven track record of building cloud-based, production-grade data pipelines. How We Work Together, • This role requires 100% of work to be performed in a remote office environment and requires the ability to use keyboards and other computer equipment. Diversity & Inclusion We work with and serve people from diverse cultures and communities around the world. We are stronger and better when we build a team representing the communities we support. We maintain an inclusive culture where people from a broad range of backgrounds feel valued and respected as they contribute to our mission. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to, and will not be discriminated against on the basis of, race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Care Access is unable to sponsor work visas at this time. If you need an accommodation to apply for a role with Care Access, please reach out to:

Job Description Tech Lead Manager, Planning On our Planning team, you'll apply your passion in robotics and software development for production-ready autonomous vehicles. As the Technical Lead Manager, you will direct a team tasked with the design and implementation of motion planning software for autonomous vehicles. This position requires leadership in defining the motion planning and control systems that enable our fleet to operate securely, effectively, and with passenger comfort in intricate settings. As a leader, you will drive the development of cutting-edge motion planning algorithms, collaborate with cross-functional teams (Localization, Perception, Prediction, Controls, ML Products, and Systems Engineering), and mentor a talented group of engineers to deliver state-of-the-art solutions. If you are passionate about autonomous driving, thrive on solving challenging real-world problems, and are eager to make a significant impact in a rapidly evolving field, we want to hear from you. Role responsibilities: • Lead and develop a team within the motion planning organization, assuming responsibility for planning algorithm and constraint generation., • Collaborate with other leaders to provide technical direction, making critical decisions on architectural strategies, strategic resource allocation, operational execution, and technical debt management., • Deliver a robust and scalable planner, prioritizing safety throughout the design, prototyping, testing, deployment, and production phases., • Adopt a metrics-driven approach to the development and enhancement of technical components., • Advance existing planning methodologies to facilitate data-driven strategies., • Promote diversity and inclusion in both products and personnel., • Mentor and offer constructive feedback (technical and professional) to team members, cultivating an inclusive and collaborative work environment., • Demonstrate initiative in generating innovative ideas, formulating a team vision, and considering the holistic robotaxi system., • Implement and review algorithms and code, applying rigorous engineering methodologies., • Partner with project managers to develop roadmaps and execute plans according to schedule.What we're looking for:, • Over two years of experience in the management of a development team, with a demonstrated ability to foster career growth, mentor team members effectively, and enhance productivity., • Masters or PhD in Robotics, Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering, or a related field., • Established history of successfully delivering production-quality motion planner in a leadership capacity., • Advanced proficiency in search algorithms., • Experience in developing motion planning solutions with ML, • Expertise in C++ software development, Linux, and Python, with supplementary knowledge of SQL., • Strong theoretical understanding and practical experience in motion planning under conditions of uncertainty, as well as in interactions with dynamic agents and environments., • Knowledge of robotics algorithms in localization, perception, prediction, motion planning, and control systems for autonomous vehicles., • Excellent communication, interpersonal, and management skills.Skills appreciated, • Experience in Autonomous Vehicles or other robotics industries, • Experience using simulation tools Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$212,000—$283,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job DescriptionPosition Overview: We are looking for a Research Data Analyst to join a high performing team focused on building and maintaining research databases used in a state-of-the-art quantitative investment process. The Analyst will be responsible for resolving data quality issues, building new data quality controls, onboarding new datasets, creating documentation, and making data access more transparent. This position offers a unique opportunity to leverage one’s experience and have an impact on how data is used in the research and investment process. An ideal candidate should have strong knowledge of financial data used in multi-asset class quantitative investing and have a keen interest to think about and solve data quality issues and be adept at using various tools and technologies at their disposal to execute the job. Key Responsibilities: • Monitor incoming data to detect anomalies and remediate issues, • Investigate and resolve data quality questions and concerns, • Develop an expert understanding of internal databases and processes and ensure information is maintained accurately and efficiently, • Become a “subject matter expert” in a variety of data categories (reference, market, fundamental, estimate, macro-economic, et al) across various asset classes including equity and fixed income, • Develop a keen understanding of how data is utilized in our investment processes to help design and implement new data sets and processes, • Design, implement and maintain market data contract pipeline to be align with our data processing. Validate that all data required by market data contracts is present and accurate, and ensure no unauthorized deletions occur., • Partner with investment teams to proactively address their data needs, • Design and build efficient and effective controls to help resolve and identify potential data issues, • Coordinate with the data engineering team to identify ways to improve our data and monitoring processes, • Work with external market data vendors to bring in new data sources required by business users and support existing feeds, • Create documentation to support data processing and exploration, • Contribute to a rotational “on call” program to facilitate the overnight processing of dataRequirements:, • Bachelor’s degree, preferably in economics, statistics, computer science, math or information systems, • 3+ years of experience working with financial data at an asset management company or financial data provider, • Experience orchestrating data pipelines and processes using Apache Airflow, • Proficient using Python and SQL to maintain data quality and automate data workflows, • Experience modeling data based on vendor methodologies and internal use, • Experience building data quality controls and resolving data issues, • Proven ability to visualize data using modern data analysis techniques, • Strong attention to detail, • Strong communication skills, • High energy and positive attitude – candidate should be conscientious, self-directed and possess a strong work ethic, • Passionate about a data focused career path, • Strong interest in databases and database technologiesPlus:, • Experience with data systems implemented in the cloud using Databricks, Delta Lake, Spark, • Experience with Data Governance toolsets, • Interest in, or experience with, Machine Learning for Anomaly DetectionThis is a reasonable, good faith estimate of the current salary range for this role. GMO’s salary range accounts for a wide array of factors that are considered in making compensation decisions including but not limited to skill sets and market demand for skills; level of experience and training; specific qualifications, performance, time in role/company, geographic location, and other business and organizational needs. In addition, this position is eligible for a discretionary annual bonus award, which award may be determined by individual, team, department and firm performance, and is subject to the terms of GMO’s compensation plan. This position is also benefits eligible. GMO’s comprehensive benefits program includes medical insurance, dental insurance, life insurance, long-term disability coverage, a 401(k)/profit-sharing retirement plan, open paid time off, leaves of absences, dependent care resources, tuition reimbursement, charitable gifts matching, flexible spending accounts, and commuter benefits.GMO is committed to the recruitment, employment, and promotion of all candidates equally, regardless of an individual's gender, race, color, national origin, ancestry, age, religion, pregnancy, marital status, sexual orientation, gender identity or expression, military or veteran status, genetic information, physical or mental disability (except where such disability is a bona fide occupational disqualification) or any other classification protected under federal, state or local law.

Job DescriptionAbout Our Client Our client is a leading force in advancing safer, smarter AI technology. Their work has been featured in Forbes, The New York Times, and other major outlets for pioneering high-quality, human-verified data that powers today’s top AI systems. They have built a global community of expert contributors and have paid more than $500 million to professionals all over the world who help train, test, and improve next-generation AI models. Why Join This Team? • Earn up to $50/hr, paid weekly, • Payments via PayPal or AirTM, • No contracts, no 9-to-5 - you control your schedule, • Most experts work 5-10 hours/week, with the option to work up to 40 hours from home, • Join a global community of experts contributing to advanced AI tools, • Free access to the Model Playground to interact with leading LLMsRequirements, • Bachelor’s degree or higher in a quantitative, technical, or business discipline (e.g., Statistics, Mathematics, Data Science, Operations Research, Computer Science, Engineering, Economics, Finance, or similar), • 2+ years of experience in an analyst, consultant, or research role involving quantitative analysis, modeling, or forecasting, • Demonstrated experience working with datasets end-to-end: sourcing, cleaning, analyzing, and deriving insights, • Proficiency with data analysis tools such as Python, R, SQL, or similar, and familiarity with visualization methods, • Strong problem-solving skills, attention to detail, and ability to clearly explain results to non-technical audiencesWhat You’ll Do, • Support the training of generative AI models by applying advanced analytical skills, • Find and source open datasets relevant to business and research needs, • Clean, transform, and prepare data for analysis and modeling, • Build statistical or forecasting models to extract meaningful insights

Job Description Required Education: • At a minimum, a bachelor’s degree in computer science, Information Technology, or a related field Desired Certification: • Snowflake certification (e.g., SnowPro Core or Advanced Certification) Required Skills: • 5+ years of experience in data architecture, data engineering, or database development, • 2+ years of hands-on experience with Snowflake, including data modeling, performance tuning, and security, • Experience or exposure to AI tools, • Deep understanding of data warehousing concepts, dimensional modeling, and analytics, • Excellent problem-solving and communication skills, • Strong proficiency in Snowflake architecture, features, and capabilities, • Knowledge of SQL and Snowflake-specific query optimization, • Experience with ETL tools and data integration processes, • Strong proficiency in SQL and Python, • Strong Database design and data modelling experience. Experience with data modeling tools, • Ability to identify and drive continuous improvements, • Strong problem solving and analytical skills, • Demonstrated process-oriented and strategic thinking skills, • Strong motivation and a desire to continuously learn and grow, • Knowledge of Snowflake security features including access control, authentication, authorization, encryption, masking, secure view, etc, • Experience working in AWS cloud environments, • Experience working with Power BI and other BI, data visualization, and reporting tools, • Business requirement gathering and aligning to solutions delivery, • Experience with data integration solutions and tools, data pipelines, and modern ways of automating data using cloud based and on-premises technologies Desired Skills: • Experience integrating Snowflake with an identity and access management program such as Azure IDP is a plus, • Experience with source control tools (GitHub preferred), ETL/ELT tools and cloud platforms (AWS preferred), • Experience with other relational database management systems, cloud data warehouses and big data platforms is a plus, • Experience with data visualization tools (e.g., Power BI), • Experience integrating Snowflake with BI and reporting tools is a plus, • Knowledge of technical areas such as T-SQL, DevOps, and scripting Client is seeking a highly skilled, experienced and motivated Snowflake Architect/Developer to join our team. The ideal candidate will have deep experience with Snowflake, data modeling, ETL/ELT processes, and cloud data architecture. You will work closely with the Snowflake architecture team to deliver scalable, high-performance solutions that meet business analytics and reporting requirements. This role requires a deep understanding of Snowflake’s features and best practices, as well as strong problem-solving skills and the ability to work collaboratively with cross-functional teams Job Responsibilities: • Performance Tuning: Monitor and optimize performance, including query performance, resource utilization, and storage management, • User and Access Management: Manage user access, roles, and permissions to ensure data security and compliance with organizational policies, • Data Integration: Support and manage data integration processes, including data loading, transformation, and extraction, • Troubleshooting and Support: Provide technical support and troubleshooting for Snowflake-related issues, including resolving performance bottlenecks and query optimization, • Documentation and Reporting: Maintain detailed documentation of system configurations, procedures, and changes. Generate and deliver regular reports on system performance and usage, • Collaboration: Work closely with data engineers, analysts, and other IT professionals to ensure seamless integration and optimal performance of the Snowflake environment, • Best Practices: Stay up to date with Snowflake best practices and industry trends. Recommend and implement improvements and upgrades to enhance system functionality and performance Interview Process: Initial contact by video or in person. Final interview in person, face-to-face

Job DescriptionCompany Description Are you ready to trade your job for a journey? Become a FlyMate! Passion, excitement & global collaboration are all core to what it means to be a FlyMate. At Flywire, we’re on a mission to deliver the world’s most important and complex payments. We use our Flywire Advantage - the combination of our next-gen payments platform, proprietary payment network and vertical specific software, to help our clients get paid, and help their customers pay with ease - no matter where they are in the world. What more do we need to truly be unstoppable? Perhaps, that is you! Who we are: Flywire is a global payments enablement and software company, founded more than a decade ago to solve high-stakes, high-value payments in higher education. We’ve since scaled into new regions and industry verticals and expanded our product offerings to deliver meaningful value to our clients around the world. Today we support more than 4,800 clients across the global education, healthcare, travel & B2B industries, with diverse payment methods across 240 countries & territories and more than 140 currencies. With over 1,200 global FlyMates, representing more than 40 nationalities, and in 12 offices world-wide, we’re looking for FlyMates to join the next stage of our journey as we continue to grow. Job Description The Opportunity: We, at Flywire, are seeking a Senior Payment Manager, Pricing and Monetization to develop, implement, and optimize pricing strategies across Flywire’s global payments solutions. This role will be responsible for analyzing market trends, assessing competitor pricing models, and collaborating with internal teams to maximize revenue and profitability while ensuring a seamless payment experience for clients. Key Responsibilities: • Design and execute strategic pricing models that align with Flywire’s business goals and market positioning, • Conduct market research and competitive benchmarking to evaluate pricing trends across industries and regions., • Collaborate with Sales, Product, and Finance teams to develop pricing strategies that enhance revenue growth and client retention., • Analyze transaction-level data and pricing performance metrics to identify opportunities for price optimization and margin improvements, • Monitor global regulatory and economic developments that may influence pricing decisions, ensuring compliance with regional and international requirements, • Develop and maintain pricing governance frameworks, including approval workflows and documentation standards, • Deliver clear, data-backed pricing recommendations to senior leadership to support strategic decision-makingQualifications Here’s What We’re Looking For: • A strategic thinker with strong analytical capabilities and a deep understanding of pricing models and financial analysis., • Bachelor’s degree in Business, Economics, Finance, Mathematics, or a related field; a Master’s degree is a plus., • 7–9 years of experience in pricing strategy, financial analysis, or revenue management—ideally in fintech, payments, SaaS, or financial services., • Proficiency in data analysis and modeling, with hands-on experience using Excel, SQL, Python, or BI platforms (e.g., Tableau, Power BI)., • Ability to distill complex data into actionable insights and communicate them effectively to various stakeholders., • Solid grasp of market dynamics, competitive pricing frameworks, and revenue optimization techniques., • Excellent communication and presentation skills, with a proven ability to influence senior leaders and cross-functional teams., • Excel, SQL, Python, or BI platforms (e.g., Tableau, Power BI) Additional Information What We Offer: • Competitive compensation, including Restricted Stock Units, • Employee Stock Purchase Plan (ESPP), • Flying Start - Our immersive Global Induction Program, • Work with brilliant people that will keep you on your toes, learn more about their journeys by checking out #InsideFlywire on social media, • Dynamic & Global Team (we have been collaborating virtually for years!), • Wellbeing Programs (Mental Health, Wellness) with Global FlyMates, • Be a meaningful part in our success - every FlyMate makes an impact, • Competitive time off including FlyBetter Days to volunteer in a cause you believe in and Digital Disconnect Days! We are excited to get to know you! Throughout our process you can expect to meet with different FlyMates including the Hiring Manager, Peers on the team, the VP of the department, and a skills assessment. Your Talent Acquisition Partner will walk you through the steps and be your “go-to” person for any questions. The US base salary range for this full-time position is $130,000-$163,000 plus restricted stock units and benefits. Our salary ranges are determined by role, position level, and location. The range displayed on this job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and several other factors, including job-related skills, experience, relevant education and training. Your Talent Acquisition Partner can share more about the specific salary range for your preferred location during the hiring process. Flywire is an equal opportunity employer. With over 30 nationalities across 12 different offices, and diversity and inclusion at the core of our people agenda, we believe our FlyMates are our greatest asset, and we’re excited to watch our unique culture evolve with each new hire. Flywire is an equal opportunity employer. #LI-Remote

Job DescriptionZoox is building advanced self-driving hardware and software solutions. To attain the utmost efficiency that the system demands, we need you - an expert who understands how to deal with telemetry data from a growing fleet of vehicles. You will be instrumental in finding & detecting performance-related trends and anomalies across the robot fleet. The Software Performance team’s mission is to analyze, optimize and provide guidance to the software and hardware teams in order to meet expected system performance and software stability targets. As an automation engineer within the Software Performance team, you will create automated monitoring and analysis for performance tooling into the software release process to identify fleet-wide trends or anomalies and put detailed performance data at the fingertips of performance experts for quick and efficient investigations.In this role, you will: • Automate common workflows & processes for performance data storage and analysis., • Contribute to new data products to enable Engineering and Operations teams to gain access to insights from our varied and complex autonomous vehicle fleet dataset., • Make data more accessible to the rest of the software organization to get insights into stability and performance issues via standardized queries, dashboards, and automated alerts., • Create custom data queries on a large pool of dense performance metrics and build automation flows to extract relevant log segments for efficient triage & investigation., • Work cross-functionally to create automatic detection of anomalies in performance or stability metrics across the fleet and devise automatic triage pipelines to steer them to the best owners.Qualifications, • 7+ years of professional experience in software development or related fields and BS in computer science or related field, • Proficient with building data pipelines that ingest very large amounts of data from vehicles and structure it in ways that is quick and easy to execute queries on, • Strong knowledge of Python & SQL and continuous integration systems (Github/Gitlab CI, Jenkins, etc), • Savvy with efficient queries on data platforms such as DataBricks, Looker, and with ETL pipelines, • Solid statistical inference skills, with the ability to communicate uncertainty appropriately to engineering and business stakeholdersBonus Qualifications, • Familiarity with Git and Bazel, • Proficiency with LLMs and agentic AI for process automation

Job DescriptionThe Massachusetts Health Policy Commission (HPC) seeks a Health Economist to support a new Office of Pharmaceutical Policy and Analysis within the HPC, an independent state agency on the forefront of health care policy and cost containment in Massachusetts. Addressing rising pharmaceutical pricing, spending, and patient access issues are a top focus for the HPC and leading state policymakers, culminating in the recent passage of historic legislation in Massachusetts that limited out-of-pocket costs for certain high-value drugs, required the licensure of pharmacy benefit managers (PBMs), and established this new Office of Pharmaceutical Policy and Analysis. Mission of the Office of Pharmaceutical Policy and Analysis Newly established within the HPC in 2025, the Office of Pharmaceutical Policy and Analysis (OPPA) conducts nation-leading research and develops key policy recommendations related to pharmaceutical drug access and affordability, serving as the hub of expertise on pharmaceutical drug policy for the Commonwealth. The main functions of OPPA are to collect and analyze pharmaceutical spending data and information, develop and share reports and cutting-edge analyses of trends related to access, affordability, and spending on pharmaceutical drugs in the Commonwealth, and issue recommendations on pivotal matters related to pharmaceutical policy. Role and Responsibilities Duties of this position may include, but are not limited to: • Supporting the development and achievement of agency strategic and research objectives as they relate to pharmaceutical policy and data analysis;, • Conducting analyses to understand trends in pharmaceutical access, utilization, affordability, spending, and other related topics in the Commonwealth using descriptive statistics, regression modeling, and other statistical methods;, • Working in Stata, SAS, SQL, Tableau, and/or Python to create analytic files from claims and survey data;, • Developing and administering data surveys;, • Drafting legislative reports, policy recommendations, white papers, and other associated collateral materials relating to pharmaceutical policy;, • Reviewing and synthesizing the academic literature and industry studies relevant to various topics relating to pharmaceutical policy;, • Participating in meetings with industry leaders, advocates, and other stakeholders; and, • A minimum of five years’ experience in pharmaceutical policy research and analysis, preferably with direct experience in state or federal government;, • Significant subject matter expertise in pharmaceutical pricing and policy, especially related to access, affordability, and implications for spending growth;, • Experience programming with Stata, SAS, SQL, Python or other standard statistical software. Stata experience a plus;, • Familiarity with quantitative and qualitative data sources related to the development and pricing of pharmaceutical drugs and therapies, as well as pharmaceutical benefit designs;, • A commitment to understanding and responding to inequities in the access to and affordability of pharmaceutical drugs based on race, ethnicity, language, disability status, and other factors;, • Strong verbal and written communication skills, including the ability to communicate the results of complex quantitative analyses clearly and concisely to non-technical audiences;, • The ability to work independently and balance multiple, competing priorities and deadlines;, • Demonstrated experience working on cross-functional, complex, long-term projects and initiatives in the context of a fast-paced work environment;, • Excellent organizational skills and keen attention to detail;, • A commitment to fostering an inclusive workplace that promotes collaboration amongst diverse viewpoints, facilitates cooperation and teamwork, and supports constructive resolution of conflicts;, • A dedication to public service and a desire to advance a more transparent, accountable, and equitable health care system for all Massachusetts residents;Candidates must be eligible to work in the United States. The HPC operates a hybrid work schedule, with employees working two days a week from the HPC’s office in Boston. Compensation and Benefits Salary Range $95,000-$125,000 annually Salary is commensurate with experience. The HPC may adjust title, responsibilities, and salary depending on the experience and expertise of the individual selected. Benefits The HPC offers an outstanding and comprehensive package of employee benefits which should be considered toward overall compensation. These include: • 12 paid holidays per year and generous sick, vacation, and personal time, • 75% state paid medical insurance premium, • Health, dental, and vision plans offered through the Group Insurance Commission, • Flexible Spending Account, Dependent Care Assistance, and Commuting Assistance programs, • Low-cost basic and optional life insurance, • Retirement savings: State Employees' Pension and a Deferred Compensation 457(b) plan, • Tuition benefit for employee and spouse at state colleges and universities, • Extended sick leave program participation, • Professional development and continuing education opportunities, • Qualified employer for Public Service Student Loan Forgiveness program, • Actively promoting diversity in our workforce, including greater racial and ethnic diversity, at all levels of the organization;, • Fostering a work environment in which all employees are inspired to do their best, strengthened by their different perspectives, backgrounds, and experiences;, • Ensuring that no employee’s growth, achievement, or advancement is hindered because of race, ethnicity, sex, sexual orientation, religion, age, genetic information, gender identity, pregnancy, veteran status, or disability;, • Holding ourselves to a high standard of inclusion and opportunity that will serve as a model for other public and private employers throughout the Commonwealth; t9MLMfPza5

Job Description Our Client A fast moving and venture backed advertising technology startup based in San Francisco. They have raised twelve million dollars in funding and are transforming how business to business marketers reach their ideal customers. Their identity resolution technology blends business and consumer signals to convert static audience lists into high match and cross channel segments without the use of cookies. By transforming first party and third party data into precision targetable audiences across platforms such as Meta, Google and YouTube, they enable marketing teams to reach higher match rates, reduce wasted advertising spend and accelerate pipeline growth. With a strong understanding of how business buyers behave in channels that have traditionally been focused on business to consumer activity, they are redefining how business brands scale demand generation and account based efforts. About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Location: San Francisco Work type: Full Time, Compensation: above market base + bonus + equity Roles & Responsibilities * Lead the design, development and scaling of an end to end data platform from ingestion to insights, ensuring that data is fast, reliable and ready for business use. * Build and maintain scalable batch and streaming pipelines, transforming diverse data sources and third party application programming interfaces into trusted and low latency systems. * Take full ownership of reliability, cost and service level objectives. This includes achieving ninety nine point nine percent uptime, maintaining minutes level latency and optimizing cost per terabyte. Conduct root cause analysis and provide long lasting solutions. * Operate inference pipelines that enhance and enrich data. This includes enrichment, scoring and quality assurance using large language models and retrieval augmented generation. Manage version control, caching and evaluation loops. * Work across teams to deliver data as a product through the creation of clear data contracts, ownership models, lifecycle processes and usage based decision making. * Guide architectural decisions across the data lake and the entire pipeline stack. Document lineage, trade offs and reversibility while making practical decisions on whether to build internally or buy externally. * Scale integration with application programming interfaces and internal services while ensuring data consistency, high data quality and support for both real time and batch oriented use cases. * Mentor engineers, review code and raise the overall technical standard across teams. Promote data driven best practices throughout the organization. Qualifications * Bachelors or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics. * Excellent written and verbal communication; proactive and collaborative mindset. * Comfortable in hybrid or distributed environments with strong ownership and accountability. * A founder-level bias for actionable to identify bottlenecks, automate workflows, and iterate rapidly based on measurable outcomes. * Demonstrated ability to teach, mentor, and document technical decisions and schemas clearly. Core Experience * 6 to 12 years of experience building and scaling production-grade data systems, with deep expertise in data architecture, modeling, and pipeline design. * Expert SQL (query optimization on large datasets) and Python skills. * Hands-on experience with distributed data technologies (Spark, Flink, Kafka) and modern orchestration tools (Airflow, Dagster, Prefect). * Familiarity with dbt, DuckDB, and the modern data stack; experience with IaC, CI/CD, and observability. * Exposure to Kubernetes and cloud infrastructure (AWS, GCP, or Azure). * Bonus: Strong Node.js skills for faster onboarding and system integration. * Previous experience at a high-growth startup (10 to 200 people) or early-stage environment with a strong product mindset.

Job Description The Commonwealth of Massachusetts’ Executive Office of Health and Human Services (EOHHS) is seeking a highly skilled Operations & Systems Engineer to join its Health Insurance Exchange (HIX) team. This essential role ensures the performance, availability, and reliability of mission-critical systems by driving proactive system monitoring, timely issue resolution, and continuous improvement initiatives. The Operations & Systems Engineer is integral to maintaining operational excellence across HIX’s infrastructure. The ideal candidate will possess strong technical capabilities, a collaborative spirit, and a strategic, solutions-oriented approach to systems engineering and support. Key Responsibilities: • Proactively monitor system availability, capacity, and performance using Dynatrace and complementary tools., • Investigate and analyze performance issues; assess severity and ensure appropriate escalation and resolution., • Configure and manage Dynatrace dashboards, custom alerts, and performance tracking metrics (e.g., response time, throughput, error rates)., • Identify performance degradation early through alerting mechanisms and support rapid remediation., • Collaborate cross-functionally with internal teams, vendors, architects, and the PMO to resolve operational issues., • Support daily operations, including production system maintenance and patch management., • Perform data updates and generate both ad-hoc and scheduled reports using SQL and tools such as Toad or SQL Developer., • Develop and manage project plans and timelines, ensuring timely delivery of high-quality outputs., • Document systems processes and contribute to the development of operations best practices., • Oversee User Access Request processes for systems, databases, and monitoring tools., • Manage digital certificate lifecycle and updates in coordination with vendors., • Maintain a comprehensive software inventory with version tracking and update planning., • Create professional reports and presentations using Microsoft Office applications, especially Excel and PowerPoint., • Proven ability to diagnose and resolve complex IT issues using enterprise monitoring tools, with Dynatrace experience required., • Strong technical background in systems operations, monitoring, and performance optimization., • Familiarity with AWS, Amazon QuickSight, and scripting languages (e.g., Linux Shell, Python) for automation., • Solid understanding of APM (Application Performance Monitoring), synthetic monitoring, and log analytics., • Experience interpreting and creating technical diagrams, including ERDs and architectural diagrams., • Hands-on experience with ticketing systems such as ServiceNow, and project tracking tools like JIRA., • Excellent communication and interpersonal skills, with the ability to engage both technical and non-technical stakeholders., • Effective at managing multiple priorities in a fast-paced, mission-critical environment. Education & Experience Requirements: • Bachelor’s Degree in Computer Science, Information Systems, or a related field., • 5–8 years of relevant experience in operations or systems engineering roles., • Experience supporting production environments with mission-critical applications, preferably in government or highly regulated sectors., • Proficiency in Microsoft Office Suite (Outlook, Word, Excel, PowerPoint, Visio, and MS Project). Minimum Technical and Work Environment Requirements: • Internet Connection:, • Primary internet connection with a minimum speed of 15 Mbps., • Backup internet connection with at least 10 Mbps., • Backup connection must be capable of supporting work during a power outage., • Primary Device:, • Desktop or laptop equipped with at least:, • Intel Core i5 (8th generation or newer), Intel Core i3 (10th generation or newer), AMD Ryzen 5, or an equivalent processor., • A minimum of 8 GB RAM., • Backup Device:, • Must meet or exceed the performance of an Intel Core i3 processor., • Must be functional during power interruptions., • Peripherals and Workspace:, • A functioning webcam., • A noise-canceling USB headset., • A quiet, dedicated home office space., • Join Our Dynamic Team: Experience our fun, inclusive, innovative culture that values your unique contributions and supports your professional growth., • Embrace the Opportunities: Seize daily chances to learn, innovate, and excel. Make a real impact in your field., • Limitless Career Growth: Unlock a world of possibilities and resources to propel your career forward., • Fast-Paced Thrills: Thrive in a high-energy, engaging atmosphere. Embrace challenges and reap stimulating rewards., • Flexibility, Your Way: Embrace the freedom to work from home or any location of your choice. Create your ideal work environment., • Work-Life Balance at Its Best: Say goodbye to stressful commutes and hello to quality time with loved ones. Achieve a healthy work-life integration to perform at your best.

Job Description About SpringWorks Therapeutics: SpringWorks Therapeutics, a healthcare company of Merck KGaA, Darmstadt, Germany, is a commercial-stage biopharmaceutical company dedicated to improving the lives of patients with rare tumors. We developed and are commercializing the first and only FDA and EC approved medicine for adults with desmoid tumors and the first and only FDA and EC approved medicine for both adults and children with neurofibromatosis type 1 associated plexiform neurofibromas (NF1-PN). At SpringWorks, we are committed to finding answers people with rare tumors need. We thrive in an atmosphere of passion and tenacity, fueled by the excitement of the possibilities science may unlock and driven to work with urgency because of the importance of our work. We value authenticity because diverse backgrounds, cultures, styles and abilities can only help us find the answers that people with rare tumors are looking for. Your Role: The Market Access Analytics Director leads the planning and delivery of standard Market Access KPI reporting and ad-hoc analytics to identify/ quantify payer performance, opportunities, and threats. This role will continue to enhance Market Access data assets through identification of new, value-added data sources as well as optimize utilization of existing data sources. The Director manages the relationship with Market Access to provide insights to inform performance assessment and decision making. The role will partner with the Market Access Contract Optimization /Advanced Analytics center of excellence as needed to meet the Market Access team's needs. Location Classification – Hybrid: This role will be required to work onsite 2 days a week (Tuesday and Wednesday),or more depending on business needs. #LI-Hybrid Essential Duties and Responsibilities: • Build the Market Access Analytics capability within the U.S. Rare Tumor business and lead the delivery of brand specific market access KPIs as standardized reporting to understand market trends and SpringWorks brand performance across channels and payers/plans, • Design and maintain KPI dashboards for Market Access team and conduct ad hoc analysis to understand impact of tiering, copay levels, etc. and identify opportunities and risks across key payers, • Understand competitor landscape and performance at the payer / plan level. Identify opportunities for brands to improve performance given competitive dynamics, • Lead Market Access performance discussion as part of monthly business reviews, • Assess SpringWorks' current data assets and identify opportunities to enhance data sources specifically to inform Market Access insights, • Partner with Market Access Contract Optimization / Advanced Analytics COE to develop GPO, Specialty Pharmacy, Health Plan and PBM contracting strategies across payer channels through advanced modelling techniques, • Partner with Brand Analytics, Market Research, Data Strategy and Enablement, Forecasting, Commercial Operations, IT, Sales, and Market Access teams, • Identify ways to improve data reliability, efficiency, and quality of data management, • Develop and maintain documentation of current data sources, raw data, data marts, transformations, and report specifications, • Effectively manage multiple projects with varying levels of engagement, scope, and specifications., • Coach and mentor new talent / vendors, • Education: Bachelor's degree required, advanced degree preferred, • 9+ years' experience in analytics, insights/market research, preferably all in Pharma or healthcare related field, • 5+ years' experience in Market Access analytics, • Oncology or rare disease experience preferred, • Familiarity with Pharma data sources and suppliers, • Expertise in MS Office, • Familiarity with R, Python, SPSS or other programming language to analyze data as needed, • Ability to write SQL code to extract data is desirable, • Ability to work in matrixed team, • Ability to influence without authority, • Confidence in presenting to senior management, • Embody the SpringWorks Values to act with empathy and humility to drive a culture that takes ownership and accountability for their individual and teams' performance., • Strong interpersonal communication skills to collaborate with colleagues, stakeholders, and vendors effectively and clearly in a remote hybrid work environment. We offer best-in-class benefits for our team of SpringWorkers who work with urgency on behalf of patients suffering from devastating diseases. Interested in learning more, review additional information here Benefits. EEO Statement: SpringWorks maintains an EEO Policy providing for equitable opportunities for employment and conditions of employment to all employees and applicants regardless of actual or perceived sex (including pregnancy, childbirth, breastfeeding or related medical conditions), gender, gender identity or gender expression, sexual orientation, partnership status, marital status, familial status, pregnancy status, race, color, national origin, ancestry, caste, religion, religious creed, age, alienage or citizenship status, veteran status, military status, physical or mental disability, past or present history of mental disorder, medical condition, AIDS/HIV status, sickle cell or hemoglobin C trait, genetic predisposition, genetic information, protected medical leaves, victims of domestic violence, stalking, or sex offense, political affiliation and any and all other characteristics or categories protected by applicable federal, state or local laws. SpringWorks treats all employees and applicants fairly in the selection process (and in other personnel activities) by giving all employees and applicants the same opportunities for employment. SpringWorks' Equal Employment Opportunity Policy is intended to ensure that there are no barriers that would prevent members of a protected group from a fair and equitable opportunity to be hired, promoted, or to otherwise take advantage of employment opportunities. This Equal Employment Opportunity Policy applies to all aspects of employment, including, without limitation, recruitment, hiring, placement, job assignment, promotion, termination, transfer, leaves of absence, compensation, discipline, and access to benefits and training. Any violation of this Policy will result in disciplinary action up to and including termination of employment. Privacy: Upon submission of this form I understand that SpringWorks Therapeutics is based in the United States and personal data submitted in the form will be transferred and accessed in the U.S.. Information about SpringWorks Therapeutics' privacy practices can be found at Privacy Policy - Springworks (springworkstx.com).

Job DescriptionThe Elevator Pitch Do you thrive in fast-paced environments? Do you have a passion for turning raw data into information that is meaningful and actionable? Would you enjoy playing a vital role in driving continuous improvement in product quality? Evolv is looking for a Quality Analytics Intern to identify product quality trends across our customer base. The intern will support a cross-functional initiative to improve product quality across Evolv’s Gen 1, Gen 2, and eXpedite platforms. This includes mining historical and real-time quality data, identifying failure patterns, and developing actionable insights to inform next-generation product design and reliability improvements. This role will be essential in enabling our Manufacturing, Engineering and Quality teams to drive root cause and corrective action and continuously improve the quality and reliability of our products. This project will provide real-time visibility into product quality trends, enabling proactive interventions and reducing field failure rates. It supports strategic goals around reliability engineering and continuous improvement, while also enhancing operational efficiency through automation. Success in the Role: What will you accomplish? Throughout the first 1-2 weeks, you will: • Meet and begin to build relationships across cross-functional teams including Engineering, Manufacturing, Customer Success, and key suppliers., • Data access and mapping: Review current state of Quality Analytics processes, understand and document all sources of data, and identify opportunities for automation., • Failure Mode Analysis: Deliver a prioritized list of top failure items per product line., • Become comfortable and familiar with our internal systems, processes and people Between weeks 3 and 8 you will: • Dashboard Prototypes: Create strawman dashboards by week 4, with iterative improvements through week 8., • Automation: Implement automated data extracts and reporting pipelines by week 8. By Week 10 of your internship, you will: • Documentation: Produce a comprehensive “how-to” guide for dashboard maintenance and data refresh protocols., • Gain hands-on experience in data analytics, dashboard development, and quality engineering., • Learn how analytics drive product decisions in a high-tech manufacturing environment., • Develop cross-functional communication skills by working with Engineering, Supply Chain, and Quality teams., • Build a portfolio of real-world analytics tools and documented impact on product reliability., • Extract and clean quality data from multiple sources using Excel, Power BI, and SQL queries., • Build and maintain interactive dashboards for automated reporting and trend visualization., • Conduct root cause analysis on high-failure components using statistical methods., • Collaborate with Supply Chain and Engineering teams to validate findings and propose remediation strategies., • Participate in weekly cross-functional meetings to present progress and receive feedback., • Document data workflows and dashboard logic for future maintainability. What is the leadership like for this role? You will be joining the Quality team, reporting to the Director of Quality. This is a great opportunity to see how a product depends on the integration of work across multiple disciplines. Where is the role located? The location of this role is based onsite in Waltham, MA 5 days per week. Your manager may grant you approval to work remotely up to 2 days per week. Relocation assistance is not offered for this role. Compensation and Transparency Statement The base salary range for this full-time position is $20- $27/hr. This range reflects our commitment to pay transparency and equity, in alignment with applicable state laws. Our compensation ranges are determined based on factors such as role, level, location, market benchmarks, and internal equity. The posted range represents the good-faith estimate of what we expect to pay for this role across U.S. locations. Actual compensation within the range will be based on the candidate’s skills, experience, education, and geographic location. In accordance with state and local pay transparency laws—including those in California, Colorado, Massachusetts, New York, New Jersey, and others—we disclose salary ranges in all job postings and provide additional information upon request. During the hiring process, your recruiter will share: · The specific hourly rate range · Insights into how compensation decisions are made, including factors that influence starting pay We are committed to fair pay practices, and we regularly review our compensation programs to ensure they are competitive, equitable, and aligned with our values. Values: At Evolv, we’re on a mission to help make public spaces safer through innovative security technology. So, we're looking for future teammates who embody our values, people who: · Do the right thing, always; · Put people first; · Own it; · Win together; and continue to · Be bold, stay curious. Evolv Technology (“Evolv”) is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. We welcome and encourage diversity in the workplace, and all employment decisions are made without regard to race, color, religion, national, social or ethnic origin, sex (including pregnancy), age, disability, HIV Status, sexual orientation, gender identity and/or expression, veteran status, or any other status protected by law in the locations where we operate. Evolv will not tolerate discrimination or harassment based on any of these characteristics. Evolv is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. If you need a reasonable accommodation as part of the job application process, please connect with us at . Evolv participates in E-verify for all employees after the completion of Form I-9. Expectations From Applicants: We read every application. To be considered, please ensure you have: • Advanced Excel knowledge (pivot tables, formulas, macros), • Power BI (data modeling, DAX, visualization), • Python or SQL for data manipulation and automation, • Strong analytical thinking and attention to detail, • Bonus Points for: Exposure to manufacturing or quality systems, • Your cover letter explains why you’re interested, and why you believe you’re a good fit for this internship.

Job Description Trellis is a profitable, fast-growing Series A startup backed by General Catalyst, QED, NYCA, and Amex Ventures. We're reimagining how people shop for home and auto insurance, using smart technology to make something historically painful feel refreshingly easy. Every day, we help people save time, money, and unnecessary headaches. Behind the scenes, our fully remote team moves fast, owns their craft, and builds products that genuinely make life better. Led by a three-time fintech founder with a proven track record of going big, we're building something special, and we're just getting started. If you're hungry to make an impact and love solving complex problems with a scrappy crew, you'll love it here. About the Role Trellis is hiring a Senior Data Scientist to drive exploratory analysis and model development for data-scarce and emerging problems in our Real-Time Bidding (RTB) and pricing systems. You'll focus on understanding the limits and potential of smaller datasets – helping the team quickly assess which projects are viable, what data needs to be improved, and where machine learning can scale impact. You'll design and conduct exploratory studies, create transparent analytical reports, and build research-grade models that inform business decisions and evolve into production-ready systems. This role sits at the intersection of analytics, modeling, and product – collaborating closely with ML engineers, software engineers, and BI to turn ambiguous problems into scalable solutions. This is a fully remote position, based in the US or Canada, reporting directly to the Head of RTB, Thomas Boquet. We believe in paying competitively for great work. As a remote team, we set our salaries at the 75th percentile of national market data in our industry. You can count on your pay being in line with (or above) the market. For this role, the base salary range is $210,000-225,000. We review compensation twice a year to make sure we're staying competitive and rewarding our team's contributions. What You'll Do • Perform deep exploratory analysis to assess project feasibility and uncover data quality or coverage issues., • Build clear, reproducible Jupyter or Colab notebooks that communicate insights visually and narratively., • Partner with product and engineering to understand data generation processes and identify gaps., • Develop statistical and ML models (scikit-learn, statsmodels, TensorFlow, PyTorch) for pricing and bidding use cases., • Prototype predictive models that can be scaled by the ML engineering team into production systems., • Leverage Vertex AI or equivalent tools for experimentation, training, and deployment workflows., • Create visualizations using Python (Plotly, Matplotlib, or Seaborn) to communicate key findings effectively., • Contribute to a culture of analytical rigor, documentation, and rapid experimentation.What You'll Need, • 5+ years of experience as a data scientist or applied researcher, ideally in tech, fintech, or advertising., • Strong statistical foundation with hands-on experience using scikit-learn, statsmodels, TensorFlow, or PyTorch., • Proven ability to perform exploratory data analysis (EDA) and communicate findings clearly through notebooks and visualization., • Experience using Vertex AI, SageMaker, or other ML lifecycle platforms for experimentation and model deployment., • Fluency in SQL and Python data tooling (pandas, NumPy, Plotly, etc.). We're a team of builders, dreamers, and doers reshaping an industry that touches every household in America. At Trellis, you'll have real ownership, meaningful impact, and the chance to grow alongside a company that's scaling fast. Here's what makes Trellis an incredible place to build your career: * ✨ A flat, transparent culture where your voice actually matters * 🚀 Ground-floor opportunity with room to stretch and grow * 💰 Compensation at the 75th+ percentile * 🏡 100% remote... work from wherever you do your best thinking (In the US or Canada, that is) * 🎉 Quarterly team events that keep our fully remote culture connected and fun And yes, the perks are pretty great too: * 🌴 Flexible vacation (seriously, we want you to take it) * 🩺 100% employer-paid health insurance for employees (65% for dependents) * 💻 Home office budget to set up your perfect workspace • 🧘🏼️‍♂️ Wellness events throughout the year, because we believe in investing in the full human, not just the employee 💸 Automatic 401(k) contribution, FSAs, bonuses, and equity opportunities to invest in your future • 🐣 Paid parental leave 👉 If you're looking for a place where you can do the best work of your career, while building something that actually matters, we'd love to meet you.

Job DescriptionAbout Us Kalamata Capital Group is a forward-thinking financial technology company committed to leveraging data-driven intelligence to support small business growth. We are seeking a highly skilled Data Scientist to develop predictive models, perform robust exploratory data analysis, and build scalable data pipelines that power key business decisions across the organization. Summary The ideal candidate is an experienced data scientist with deep technical expertise in machine learning, data engineering workflows, and statistical modeling. This role will work closely with engineering, product, and analytics teams to design, validate, and deploy ML solutions that improve decision-making efficiency. Strong proficiency in Pandas, PySpark, and MongoDB is essential, along with the ability to write clean, reproducible, production-ready code. The successful candidate will be equally comfortable communicating complex analytical insights to non-technical stakeholders. Key Responsibilities Exploratory Analysis & Data Profiling: Conduct EDA on large, complex datasets using Pandas and PySpark; assess data quality and structure. Model Development: Build, tune, and evaluate supervised and unsupervised machine learning models (e.g., tree-based methods, regressions, boosting algorithms). Pipeline Engineering: Design and implement reliable, maintainable machine learning pipelines and preprocessing workflows for production environments. Data Management: Query and integrate MongoDB datasets; design efficient schemas and aggregation pipelines that support analytical and operational workloads. Visualization: Create intuitive visualizations using seaborn, plotly, and matplotlib to support model diagnostics and business storytelling. Reproducible Code: Write clean, modular, well-documented Python code (PEP8 compliant); maintain version control using Git. Model Explainability: Apply model interpretation tools such as SHAP and LIME to evaluate feature impact and improve transparency. Cross-Functional Collaboration: Partner with engineering, analytics, and product teams to translate business needs into actionable model-driven solutions. Documentation: Produce clear technical memos, reports, and model documentation for internal stakeholders. Required Skills & Qualifications • Education & Experience:, • M.S. in Computer Science, Machine Learning, Computational Biology, or related quantitative field plus 3+ years of relevant experience, or equivalent combination of education and applied work., • Advanced proficiency with Pandas and PySpark for data cleaning, reshaping, merges, feature engineering, and workflow optimization., • Strong experience with MongoDB, including querying, indexing, and aggregation pipelines., • Deep knowledge of supervised/unsupervised ML techniques and tools (scikit-learn, XGBoost)., • Experience delivering end-to-end ML projects (data ingestion modeling evaluation optional deployment)., • Ability to write clean, reproducible code and maintain organized notebooks/scripts., • Excellent communication skills with the ability to translate analysis into business insights., • Experience with AWS tools (Glue, S3, DMS)., • Familiarity with deep learning frameworks (PyTorch, TensorFlow)., • Experience deploying models using FastAPI, Flask, AWS, or GCP., • SQL, data warehousing, or data versioning experience., • Software engineering best practices (testing, CI/CD, code review)., • Link to GitHub, GitLab, or portfolio of analytical/ML code. Flexible work from home options available.

Job DescriptionAbout this role: Pickle is on the hunt for a dynamic and driven Machine Learning Engineer to revolutionize the future of warehouse automation. This role sits at the critical intersection of Perception and MLOps. You will focus on two key pillars: developing robust scene understanding models and building the deployment and analysis infrastructure that allows us to measure, understand, and improve our robots performance in the real world.Responsibilities: • Build Performance Analysis Systems: You will design systems that automatically analyze robot telemetry and video logs to detect anomalies, quantify perception failures, and provide deep insights into why a robot performed a certain way., • Scale the Data Engine: You will take ownership of the data lifecycle. You will build automated pipelines to mine interesting events from fleet data, implement active learning strategies to curate high-value datasets, and drive the continuous improvement of our model suite., • Develop Scene Understanding Models: You will train and refine 2D/3D vision models specifically designed for event detection and semantic understanding., • Master Edge Deployment: You will own the optimization and deployment of these models. You will use tools like TensorRT and ONNX to ensure our models run efficiently on edge hardware (NVIDIA Orin)., • Define Perception Metrics: You will move beyond simple validation loss and define real-world performance metrics that correlate with customer success, visualizing these trends for the broader engineering team.Skills:, • 3+ Years of Experience in Computer Vision and Machine Learning, with a strong focus on MLOps, deployment, or data infrastructure., • Strong proficiency in Python and PyTorch. You are comfortable writing tooling scripts, data queries, and deployment pipelines., • You have experience optimizing models for the edge using TensorRT, ONNX Runtime, or CUDA. You understand how to profile model performance and manage resource constraints., • You treat data as a product. You have experience utilizing SQL, data lakes, or vector databases to manage large-scale datasets and automate quality assurance., • Familiarity with VLMs and 2D/3D Vision architectures sufficient to debug model failures and understand data needs., • You can translate high-level product requirements into specific engineering tasks and explain technical trade-offs to non-expert stakeholders.

Job Description Company Description The Ikigai platform unlocks the power of generative AI for tabular data. We enable business users to connect disparate data, leverage no-code AI/ML, and build enterprise-wide AI apps in just a few clicks. Ikigai is built on top of its three proprietary foundation blocks developed from years of MIT research - aiMatch, for data reconciliation, aiCast, for prediction, and aiPlan, for scenario planning and optimization. Our platform enables eXpert-in-The-Loop (XiTL) for model reinforcement learning and refinement, at scale. Rooted in academia, Ikigai also offers unmatched educational support that upskills workforces and transforms organizations into AI-driven ones. Ikigai Academy has already trained over 6000 students from 90+ countries on topics like “No Code AI” and “Time Series Forecasting”. Role Description: We are seeking a Data Scientist who thrives at the intersection of data transformation, analytics, and implementation. In this role, the Data Scientist will partner directly with clients to prepare, clean, and transform their data so it can seamlessly integrate with our aiCast platform. This Data Scientist will help customers unlock the value of their data—building pipelines, dashboards, and forecasts—and in many cases, own the end-to-end implementation from ingestion through delivery. This Data Scientist position is centered on data engineering, applied analytics, and client enablement. You’ll play a key role in helping customers get from raw data to actionable insights. Responsibilities: * Collaborate with client teams to understand their data sources, structures, and business requirements. * Design and implement data transformation pipelines to prepare data for aiCast ingestion. * Build reporting and dashboarding solutions to help clients interpret and act on their data. * Develop forecasting and analytics workflows to extend client use cases beyond data prep. * Support end-to-end solution delivery—covering extraction, transformation, validation, and deployment—when applicable. * Troubleshoot data quality issues and provide recommendations for improved structures or processes. * Partner with internal engineering and success teams to ensure smooth implementations and knowledge transfer. Qualifications: * At least 1-3 years of experience in a data role, preferably with enterprise clients * Associate’s or Bachelor’s degree in a relevant field (e.g., Computer Science, Statistics, or Applied Mathematics) preferred * Proficiency in Python, including libraries like NumPy and Pandas for data transformation. * Working knowledge of SQL for querying and joining datasets (intermediate level). * Experience building ETL/ELT pipelines or similar data processing workflows. * Familiarity with data visualization, reporting, or dashboarding tools. * Strong problem-solving skills with a focus on client outcomes and practical implementation. * Ability to work with incomplete or messy data and structure it for usability in production systems. * Excellent communication skills for translating technical work into business impact. Preferred Skills: * Knowledge of data transformation (e.g. using python Pandas library) database management, data integration, or data visualization is a plus * Experience with forecasting techniques or applied time-series analytics. * Background in client-facing or consulting roles where you owned implementation delivery. * Understanding of software engineering best practices (version control, testing, deployment). Ikigai Labs is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law. Powered by JazzHR sfmsCHcJWY

Job DescriptionMission Summary: Our Infrastructure Interns will help build and optimize the data pipelines, tooling, and platforms that enable Perception, Behaviors, and Actions teams to develop and deploy models at scale. This role focuses on high-reliability data systems, dataset processing workflows, storage and retrieval tooling, and infrastructure automation. Responsibilities • Support development of scalable data ingestion, processing, and validation pipelines, • Build tools for dataset management, versioning, and quality measurement, • Work with large multimodal datasets (images, video, telemetry, logs), • Implement automation to improve data labeling workflows, annotation QA, and metadata tracking, • Collaborate with Perception, Behaviors, and Actions teams to understand data requirements and optimize tiered dataflows, • Contribute to the observability of data pipelines, including metrics, dashboards, and alerting, • Support development of Cloud Operations Platform to manage autonomous vehicle fleet, • Support development of Development Portal to improve SDLC workflows and systems, • Currently pursuing a degree in Computer Science, Computer Engineering, Machine Learning, Robotics, or a related field, • Strong programming skills in Python, C++, Golang or other modern programming languages, • Coursework or project experience in data engineering, distributed systems, automation, or backend infrastructure, • Coursework or project experience serverless architectures, building systems using SQL and NoSQL databases, • Familiarity with SQL and data structuresPreferred Skills, • Experience with big-data technologies, • Knowledge of workflow orchestration tools, • Exposure to ML data pipelines, dataset lifecycle management, or ETL systems, • Experience with source management tools (ex. git, svn, ClearCase), • Familiarity with tools for logging, monitoring, or observability Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job Description At OneStudyTeam (a Reify Health company), we specialize in speeding up clinical trials and increasing the chance of new therapies being approved with the ultimate goal of improving patient outcomes. Our cloud-based platform, StudyTeam, brings research site workflows online and enables sites, sponsors, and other key stakeholders to work together more effectively. StudyTeam is trusted by the largest global biopharmaceutical companies, used in over 6,000 research sites, and is available in over 100 countries. Join us in our mission to advance clinical research and improve patient care. One mission. One team. That's OneStudyTeam. By joining our team as a Senior Machine Learning Engineer, you will play a pivotal role in building cutting-edge AI products that directly impact how new therapies reach patients. We're looking for an experienced ML engineer who is passionate about turning advanced AI research into scalable, real-world solutions. You thrive on solving complex problems, pay close attention to detail, and consistently seek to automate and improve processes. You shine as a collaborator and excel as an individual contributor, with the courage to tackle challenging problems and the humility to learn and adapt. Your initiative and discipline allow you to thrive while working remotely, and your high degree of empathy and communication skills makes you the kind of colleague everyone wants on their team. As an integral member of our fast-growing organization, you will leverage AI to transform clinical research and improve patient care. What You'll Be Working On: • Build and deploy AI-driven products that accelerate clinical trials and improve patient outcomes. Your work will deliver scalable machine learning solutions to complex, real-world problems in clinical research., • Develop advanced ML models and LLM-powered agents for critical use cases like patient recruitment, enrollment forecasting, and study feasibility. You'll also help expand our AI knowledge base architecture to support these innovative solutions., • Leverage modern cloud tools and MLOps best practices to build robust data pipelines and deploy models at scale. You'll use technologies like Python (and Clojure), AWS services (Athena, Bedrock, SageMaker, etc.), dbt, Prefect, and CI/CD automation with monitoring to ensure models are reliable and up-to-date., • Collaborate across teams of data scientists, product managers, designers, engineers, and domain experts to integrate AI capabilities into our platform (including Care Access products). Ensure these AI solutions seamlessly support and enhance clinical research workflows for end-users., • Continuously learn and innovate. Stay up-to-date with the latest developments in ML/AI (LLMs, NLP, probabilistic modeling, etc.) and proactively bring new ideas to the team. You'll have the freedom to experiment with cutting-edge techniques and turn promising prototypes into production features that drive our mission forward.What You'll Bring to OneStudyTeam:, • Extensive ML engineering experience: 5+ years of hands-on experience building and deploying machine learning solutions in production at scale. Proven ability to implement end-to-end ML pipelines from data ingestion to model serving for real-world applications used by real people., • Strong programming and data skills: Proficiency in Python and its ML ecosystem (pandas, scikit-learn, TensorFlow/PyTorch), with clean and efficient coding practices. Comfortable working with large datasets, writing complex SQL queries, and leveraging modern data processing frameworks. Experience with functional programming (e.g. Clojure) is a plus but not required., • Cloud and MLOps expertise: Experience with modern cloud infrastructure (AWS or similar) and containerization tools like Docker. Familiarity with MLOps best practices such as CI/CD pipelines, automated testing, and monitoring model performance/data drift to ensure reliable, scalable deployments., • Deep ML/AI knowledge: Strong understanding of machine learning fundamentals (model selection, training, evaluation, feature engineering) and statistical modeling. Familiarity with NLP and large language models is important., • Analytical problem-solving: Ability to break down complex problems and devise effective, efficient ML solutions. You balance pragmatic engineering with scientific rigor, ensuring models are not only accurate but also performant and maintainable in production. Note: OneStudyTeam is unable to sponsor work visas at this time. If you are a non-U.S. resident applicant, please note that OneStudyTeam works with a Professional Employer Organization. As a condition of employment, you will abide by all organizational security and privacy policies. This organization participates in E-Verify (E-Verify's Right to Work guidance can be found here).

Job DescriptionRole Summary • Responsibilities: You will be responsible for leading a range of projects that involve devising and performing statistical analysis plans and then communicating the methodologies and results of these to our clients in the healthcare sector, • Salary: $100,000 per annum, • Benefits: Hybrid working options, generous holiday allowance, flexible working hours, private medical and dental insurance, 401K plan, life insurance, full funding for external training, comprehensive travel insurance and more, • Role Type: Full-time, permanent, • Start Date: We are currently recruiting for start dates throughout 2026 and you will be asked to state your preference on your application form The Senior Statistician will lead statistics projects, working very closely with the Consultant or Team Lead as well as colleagues from all specialities, to ensure that statistics projects are delivered to an exceptionally high standard, on time and in line with client expectations. This involves providing strategic advice to clients at project initiation, supervising the project team and regular interaction with external stakeholders by teleconference, email and in person. The Senior Statistician will also be central to the quality control of the project, involving the review of colleagues' work and the provision of constructive feedback. Our team typically work on several projects at one time and the results of each analysis can feed into publications, value materials, health economic models or health technology assessment submissions. You will therefore be exposed to a wide variety of our service and a broad range of therapeutic areas. To read more about our recent articles and publications, please visit our website: You will also play a key role in contributing to business development by developing and maintaining excellent client relationships and identifying opportunities to provide additional services to clients within projects. There may also be opportunities to line manage and mentor our Statistician Interns. Career Progression Senior Statisticians are supported to progress to the Consultant Statistician role. Consultant Statisticians manage a range of projects and have full responsibility for client communication on projects, as well as leading budgeting plans and business development efforts. In addition to technical project delivery, Consultant Statisticians line manage team members and have internal responsibilities spanning areas such as recruitment and training. To learn more about the personal and professional development opportunities at Costello Medical, explore first-hand career profiles from our colleagues about their experiences with the company: About Costello Medical Costello Medical is a rapidly growing global healthcare agency specialising in medical communications, market access, and health economic and outcomes research. We work with a wide range of clients, including the industry’s most successful pharmaceutical and medical technology companies, patient and public health bodies, and charitable organisations. We have been listed in the Top 100 Best Companies to Work For list since 2017 and were proud to receive B Corporation accreditation in 2022. Learn more about us, our work, and our mission on our website: Requirements About You We are looking for individuals who are collaborative, self-motivated and enthusiastic, with a strong and demonstrable background in the HEOR sector. You will take pride in producing exceptionally high-quality work and will relish the opportunity to build successful client relationships. You will identify and capitalise on opportunities to go above and beyond for clients and exceed their expectations wherever possible. You will be someone who has a genuine desire to play an active role in the development of our growing team. You will enjoy using your experience to train and mentor others and will be skilled at delivering effective feedback to support your colleague’s professional development. You will thrive in a fast-paced environment, be highly organised and able to manage timelines across multiple projects. Additionally, you will be willing to step up and support your project team as needed. This role is suited to those who have professional experience, of typically no less than 2 years, in applying economic and mathematical modelling techniques within an industry setting, ideally within a pharmaceutical, medical devices or consulting company. Specifically, we are looking for candidates with experience: • Working directly with clients from project initiation to completion, • Leading a project team, including delegating tasks and managing the time of others coupled with the ability to manage timelines across multiple projects at once and the flexibility to respond to changing deadlines, • A degree level or higher qualification in a scientific or mathematical discipline (minimum GPA 3.3) is required. A focus on statistics and data analysis is essential, • The technical and mathematical ability, coupled with exceptional written and oral communication skills, to explain complex techniques and results to non-experts, and to teach and mentor others in the Statistics team, • An excellent understanding of and extensive experience in the R programming language, and the willingness and ability to rapidly develop your programming skills, • A willingness to trial, explore or recommend new software or techniques that may suit specific projects, • Exceptional attention to detail and a high degree of accuracy in technical and written work, along with the ability to maintain exceptional customer service and the quality of deliverables under multiple competing demands, • The ability to use your initiative and work independently, in addition to working collaboratively within project teams, • A Masters degree or PhD in a scientific or mathematical discipline, • Experience with Stan, Python, SQL, or other programming languages used for data analysis, • A starting salary of $100,000 per annum, • A discretionary profit share bonus paid twice per year, • Private medical insurance with a company contribution, • Dental and vision cover, • 23 days’ vacation leave increasing by 1 day to a maximum of 27 days. 6 public holidays plus 1 floating holiday, • The chance to work from home for up to half of your working time, • Retirement savings via a 401k plan, • Paid funding for external education and study leave, • Life insurance, • Comprehensive travel insurance, • Flexible and reasonable working hours Then, our recruitment process includes a telephone interview with a member of the Talent Acquisition team, followed by an assessment for you to complete in your own time. If successful, you will be invited to an interview which will include a short presentation you can prepare for in advance. Our standard recruitment process lasts around 1 month, however, this can be adapted if necessary. As an equal opportunity employer, we are committed to fostering a diverse and inclusive workforce and, throughout the recruitment process, there are a number of reasonable adjustments we can provide: Please note that, whilst we embrace AI to innovate and improve processes, your role may involve confidential data that cannot be uploaded to AI. Therefore, it is important for us to assess your own skills and abilities, so we recommend that you do not rely solely on this technology to generate any application materials. Visa Sponsorship We welcome applications from international candidates, but we are unfortunately unable to provide visa sponsorship for working visas. Therefore, you must have the right to work in the US independently from the company. However, we are able to consider those on a temporary visa, such as an OPT visa.

Job DescriptionData Engineer Employment Type: Full-Time, Mid-levelDepartment: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients’ toughest challenges. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:-Complete development efforts across data pipeline to store, manage, store, and provision to data consumers.-Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices.-Write code to ensure the performance and reliability of data extraction and processing.-Support continuous process automation for data ingest.-Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing.-Work with program management and engineers to implement and document complex and evolving requirements.-Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork.-Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists. Qualifications:-Must be a US Citizen.-Must be able to obtain a Public Trust Clearance.-7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models.-Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats.-Proficiency in developing ETL processes, and performing test and validation steps.-Proficiency to manipulate data (Python, R, SQL, SAS).-Strong knowledge of big data analysis and storage tools and technologies.-Strong understanding of the agile principles and ability to apply them.-Strong understanding of the CI/CD pipelines and ability to apply them.-Experience with relational database, such as, PostgreSQL.-Work comfortably in version control systems, such as, Git Repositories. Ideally, you will also have:-Experience creating and consuming APIs.-Experience with DHS and knowledge of DHS standards a plus.-Candidates will be given special consideration for extensive experience with Python.-Ability to develop visualizations utilizing Tableau or PowerBI.-Experience in developing Shell scripts on Linux.-Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions.-Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package:-Health, Dental, and Vision-Life Insurance-401k-Flexible Spending Account (Health, Dependent Care, and Commuter)-Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: For more information about CGS please visit: or contact:Email: #CJ 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 At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny. At Klaviyo, we're on a mission to empower creators to own their destiny. Our AI-first B2C CRM platform empowers 176,000+ brands in 80+ countries to cultivate relationships with hundreds of millions of consumers. We love solving hard problems and look for people who specialize in certain areas while being passionate about building, owning, and scaling solutions end-to-end, overcoming any obstacle in their way. We are a team of ambitious, customer-obsessed peers who are insatiably curious and meticulous in our craft. We push each other to grow beyond our comfort zone, learn new things, and work hard to ensure each day is better than the last. About this role Within our Information Security department, the Security Trust & Risk (STAR) group enables Klaviyos to take smart, disciplined risks while bolstering customer trust. To that end, within STAR, our Security Trust & Compliance team drives the following programs: • Compliance operations & audits (for SOC 2, ISO 27001, ISO 27017, PCI, and SOX ITGCs), • Continuous control monitoring, • Security policies & standards, • Security education & awareness, • Customer trust operations & enablement (e.g. security questionnaires, customer calls, trust center administration, tech partner due diligence, etc.), • Identity governance (e.g. user access reviews, just-in-time access workflows, just-enough-access audits/remediation) What you'll be doing • Lead, support, and develop our Trust team, helping your team members with professional development, goal achievement, and partnering effectively across Klaviyo, • Partner with STAR team leadership to plan, oversee, and drive execution of our projects and operations to ensure timely delivery of high-quality business outcomes, • Define a compelling vision/strategy for our Trust programs to continuously improve the efficiency and effectiveness of how we drive governance, cultivate culture, uphold compliance, and bolster trust, • Continuously seek out and prioritize high-value opportunities for the Trust team to use AI and automation to streamline our processes and eliminate toil, • Experience leading, developing, and managing teams of individual contributors, with an intentional focus on fostering diversity and belonging throughout the entire employee lifecycle, • Broad and deep understanding of modern cloud-native web application architectures and related security best practices, especially in the context of AWS, Kubernetes, and AI, • Experience implementing Compliance Automation products, such as Drata, Vanta, Anecdotes, HyperProof, etc., • Experience executing/leading compliance programs for SOC 2, ISO 27001, ISO 27017, ISO 27018, PCI, HIPAA, GDPR, CCPA, and NIS2, • Experience executing/leading core governance, compliance, and trust programs, such as continuous control monitoring, security policies & standards, security education & awareness, and customer trust operations, • A strong bias toward evidence, logic, math, and reason when communicating risk (instead of fear, uncertainty, and doubt), • A strong bias toward "guardrails, not gates" and "paved security roads" philosophies (instead of rigid "centralized command-and-control" processes and operating styles), • Excellent ability to plan, prioritize, and deliver results cross-functionally and in a timely fashion, • Proficiency discussing complex, nuanced topics with technical & non-technical audiences alike, especially software engineers, • Experience with SQL, building tools with REST APIs, and Python, • Experience implementing Identity Governance tools and processes, such as for user access reviews (UARs) and just-in-time access (JITA), • Experience working in security operations, security engineering, and/or security architecture roles We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$140,000—$210,000 USD Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job DescriptionAt WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives. We are hiring a Senior Analyst to partner closely with our Healthcare Product team, work on future-focused health initiatives, and support the broader digital health and clinical teams in their efforts to utilize data and insights to make informed decisions on their roadmap and continuously improve the member experience. We are looking for an individual who can be fluent in data, driven by product thinking and is looking to deeply understand and tackle complex analytics challenges. This person should feel empowered to foster their own curiosity and raise support for ideas that meaningfully impact the WHOOP member experience. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.RESPONSIBILITIES: • Collaborate closely with Product, Digital & Connected Health, Software, UX, Data Science, Marketing, and Strategic Finance teams to break down and prioritize the product strategy and roadmap., • Develop a deep understanding of WHOOP's database and tools to effectively drive data-driven proposals to internal stakeholders on necessary changes., • Help build and refine health-specific KPIs, including engagement with relevant features, adoption of recommended behaviors, and member-reported value., • Uncover insights about key member segments — including those managing hormonal health, cardiometabolic health, or looking for more personalized wellness support., • Create repeatable tools and processes for analytics across new health features and algorithms— from data pipelines to dashboards and weekly health performance reviews., • Collaborate with a high-performance team in a fast-paced environment, providing thought leadership to identify the most impactful ways to drive decisions and improve retention. QUALIFICATIONS:, • 4+ years of experience in a deeply strategic/analytical role, including partnership with clinical, product, data science, or engineering teams., • Able to take broad questions, wrangle appropriate data, quickly isolate and model key insights, visualize results and communicate actionable recommendations., • Strong storytelling skills – able to create compelling and concise presentations that convey actionable solutions to complex, ambiguous problems., • Demonstrated success in influencing senior stakeholders and leadership on strategic direction based on analytical recommendations., • Experience working with data engineering and development teams on complex datasets, • Advanced skills in SQL and general understanding of ELT (dbt) and data warehousing (Snowflake) structures, as well as data visualization (eg. Amplitude, Sigma, Hex). Python is a plus.

Job DescriptionWe are seeking a highly skilled and experienced Data Scientist to join our Perception Verification and Validation team. The team is responsible for verifying and validating the perception stack of our autonomous driving system. The candidate will work closely with other data scientists, perception engineers, and systems engineers to develop datasets and metrics to quantify the performance of our perception system. The candidate will also help define key performance metrics that will enable perception engineers to directly measure the impact of new features on both the overall Perception stack as well as end-to-end system behavior.In this role, You will... • Define key performance metrics that will help perception engineers to measure the impact of new features on the perception stack and the end-to-end system behavior, • Create and maintain datasets used to evaluate the perception stack and end-to-end driving performance., • Analyze large scale metric results to identify patterns and insights about perception failure modes. Present results and insights to leadership., • Design and implement statistical methods to quantify uncertainty in our performance and validation metrics.Qualifications, • Master's or PhD degree in Statistics, Mathematics, Computer Science, or a related field, • Proficient using data query languages (SQL and/or Spark/scala) to quickly build complex yet efficient data queries at scale and using Python to build production-quality code, • Basic experience with autonomous driving, safety-critical systems, or computer vision systems., • Proficient in exploratory data analysis (EDA) and data visualization to understand and present trends and their implications for the business., • Background in statistical modeling and analysis; including experience making data-driven decisions that connect point and uncertainty estimates to business impact.Bonus Qualifications, • Skilled at using AI tools to improve development efficiency and quality., • Experience with experiment design and statistical comparisons (A/B testing, parametric/non-parametric statistics, etc.)