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Job Description Keyrus Consultants are collaborative, curious, and passionate about building impactful planning solutions. As an Anaplan Solutions Architect, you will serve as the lead designer and subject matter expert for complex Anaplan implementations focused on Sales Performance Management (SPM) use cases. This role requires deep technical and SPM functional expertise in Anaplan, including the Polaris calculation engine. Direct experience working with Anaplan’s Territory and Quota, Account Segmentation, Sales Capacity applications is a plus but not required. You will work closely with client stakeholders and project teams to translate strategic goals into robust models, ensuring adherence to best practices and high performance. This role is critical in ensuring the successful deployment of new Anaplan models and must provide excellent service, make best practice recommendations, and identify opportunities for future projects. The ideal candidate will have strong English communication skills, deep expertise in model building, a strong technical background working with live Anaplan models, and be able to deliver results for complex problems in different industries. Responsibilities of the SPM Solution Architect Include: Architect, design, and implement scalable Anaplan solutions leveraging both Classic and Polaris engines. Lead delivery of enterprise-grade models across in financial planning & analysis across industries. Serve as technical authority for solution design, data architecture, model performance optimization, and governance. Collaborate with clients to define end-to-end planning architecture, including data flows, integrations, and user experience. Partner with cross-functional teams to align solution design with organizational objectives and EPM best practices. Lead design reviews, data mapping, model build, UAT, and deployment. Provide hands-on mentorship to model builders and consultants, ensuring adoption of Anaplan Way and modeling standards. Collaborate with data integration specialists to connect Anaplan with ERP, CRM, and BI systems. Evaluate and implement new Anaplan AI capabilities (e.g., Co-Planner, Co-Builder, Forecaster) to drive predictive insights. Create demo models, proofs of concept, and support pre-sales activities with innovative solution prototypes. Drive continuous improvement, identifying opportunities for performance tuning and re-architecture. Act as a trusted advisor to clients on planning transformation and connected planning maturity. Act as a trusted advisor to clients, understanding their strategic goals and challenges. Mentor and provide guidance to junior consultants and team members on Anaplan best practices and conduct training sessions to enhance the Anaplan expertise of the team. Identify gaps in business and technical requirements, testing, potential project risk, and communication issues in client delivery Deliver presentations and demonstrations to audiences ranging from executives to business users Determine priorities, scope, timeline, goals, and key milestones for requested enhancements and model defects Facilitate knowledge-sharing sessions to enhance the overall understanding of Anaplan within the organization. Review and optimize existing Anaplan implementations for improved performance and user experience Maintain customer focus and demonstrate leadership to drive consensus and project related decisions Serve as the application and software subject matter expert throughout the client engagement Required Qualifications: Background in multi-dimensional modeling, analytics, or business intelligence Minimum of 5 years of experience in implementing Performance Management Solutions using Anaplan Minimum of 5 years of experience as consultant or working on industry as SME on functional roles Exposure to the Sales Performance Management function via Anaplan project work and/or previous corporate experience (ideally both) Delivered Sales Performance Management use cases in Anaplan, such as territory and quota planning, incentive compensation management, sales forecasting, account segmentation, and sales capacity planning etc. Prior experience in a project team environment using structured methodologies for gathering business requirements, business processes, data conversions, and system interfaces Ability to work independently, manage small to mid-size engagements, or parts of a larger engagement Deep understanding of Anaplan’s Polaris Engine Strong skills in model performance optimization, data hub design, and hierarchy management. Experience integrating Anaplan with source systems (ERP, HCM, CRM, Data Warehouse). Certified Solution Architect and/or Master Anaplanner. Demonstrated analytical and problem‐solving skills Demonstrated organizational and prioritization skills Bachelor’s degree in Finance, Economics, Information Management and Technology, Engineering, or related field and equivalent experience Strong English communication skills Desired Qualifications: Prior experience in business development and providing sales support including contribution to RFPs and conducting demo sessions for prospective clients Familiarity with AI-driven forecasting, machine learning pipelines, and predictive analytics Experience in Agile delivery methodologies. Deep understanding of Anaplan’s optimizer, Anaplan Forecaster and Anaplan Data Orchestrator For more information on the company and benefits, please go to https://www.keyrus.com/ or https://impetuscg.com/

Job Description About the Team STR's Analytics & C2 (AC2) Division researches and develops novel technologies to solve challenging national security problems through advanced analytics and C2 technologies. Our team consists of passionate and motivated engineers and scientists with advanced degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation to improve mission success of our customers. The Signals Exploitation and Tracking (SET) Group in the Analytics and C2 Division focuses on applying machine learning, statistics, estimation theory, and information theory algorithms for signals exploitation, target tracking, predictive analytics, and system resource management. The Role As a Senior Tracking Scientist at STR, you will help develop disruptive technologies focused on tracking and fusion programs. You will contribute to data analysis, algorithm development, engineering software, and validation/verification for novel application domains and modalities. You will explore fascinating datasets, develop cutting-edge algorithmic techniques, and solve high-impact, unique problems for our customers. In addition, you will participate on project teams and interact with customers. We are looking for someone to join our team onsite as this position is based in the Woburn, MA office. Who you are: • BS with at least 5 years of experience, MS with at least 3 years of experience, and/or PhD (or equivalent experience) in a scientific field such as applied math, physics, electrical engineering, computer science, or data science, • Experience with tracking technologies and estimation theory / statistics, • Experience with C++ programming language, • Ability to perform experiment design, performance modeling and simulation runs, and associated test verification and performance analysis, • Proficient in simulation capabilities, Monte Carlo methods, data structures, • Able to communicate technical foundations of models and algorithms, • Able to work and collaborate on multi-disciplinary teams, • Ability to obtain and maintain a security clearance, for which U.S. citizenship is needed by the U.S. government Even better: • Have an active security clearance, • Experience in intelligence or military-related mission areas, • Experience with common software development tools (e.g. Git, Linux, Anaconda, Docker), • Expertise using Python and/or MATLAB for scientific programming, algorithm development, data analysis, and complex visualizations (e.g. NumPy, SciPy, Pandas, Matplotlib). Pay Information Full-Time Salary Range: $139,000 - $165,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description About the Team STR's Analytics & C2 (AC2) Division researches and develops novel technologies to solve challenging national security problems through advanced analytics and C2 technologies. Our team consists of passionate and motivated engineers and scientists with advanced degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation to improve mission success of our customers. The Signals Exploitation and Tracking (SET) Group in the Analytics and C2 Division focuses on applying machine learning, statistics, estimation theory, and information theory algorithms for signals exploitation, target tracking, predictive analytics, and system resource management. The Role As a Senior Data Scientist at STR, you will help develop disruptive technologies focused on signals exploitation, estimation theory, system resource management, and systems analysis. You will contribute to data analysis, engineering software, and validation/verification of cutting-edge algorithms for novel application domains and modalities. You will explore fascinating datasets, develop cutting-edge algorithmic techniques, and solve high-impact, unique problems for our customers. In addition, you will participate on project teams and interact with customers. We are looking for someone to join our team onsite as this position is based in the Woburn, MA office. Who you are: • Active Top Secret Clearance Required with SCI eligibility, for which U.S citizenship is needed by the U.S government, • Have experience in intelligence or military-related mission areas, • MS with at least 5 years of experience, and/or PhD (or equivalent experience) in a scientific field such as applied math, physics, electrical engineering, computer science, or data science, • Experience building data analysis pipelines using standard tools (e.g., Python, C++), including implementing software to identify key metrics for various data sets, • Experience designing and implementing experiments to verify and compare algorithm performance with measured data and/or simulations using standard analysis tools (e.g., Python), • Experience with standard data science tools such as scikit-learn, Pandas, and Matplotlib, • Proficiency in one or more programming languages: Python, C/C++, • Able to work and collaborate on multi-disciplinary teams, • Able to communicate technical foundations findings to technical and non-technical audiences Even better: • Have experience in statistical inference, systems simulation capabilities, Monte Carlo or optimization methods, and/or data structures, • Have expertise working with time-series data (sampled signals and/or discrete detection series), • Have expertise working with geospatial and/or spatio-temporal data Pay Information Full-Time Salary Range: $139,000 - $165,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description Company Overview We are the only AI-native biotech, pioneering small and large molecule therapeutics discovery by integrating massive multimodal data, frontier AI models, and high-throughput lab automation into an infrastructure for AI-enabled drug discovery. We hire top 1% talent to join our interdisciplinary team of scientists, engineers, researchers, operators, innovators, drug developers, business professionals, and technologists. Join us to build the world's first AI infrastructure for tech-enabled drug discovery and to deliver a pipeline of diverse drug modalities for all major disease areas. As an AI Research Scientist III at 1910 you will be expected to roll up your sleeves as an Individual Contributor (IC) by keeping up with relevant scientific literature, prototyping promising methods, and contributing to our active drug design campaigns by applying 1910's productionized AI/ML models. Role Description • Propose and prototype AI and Machine Learning solutions that address use cases in 1910's design pipeline, • Independently apply productized AI and Machine Learning models to advance 1910's active drug design campaigns, • Independently write and publish peer reviewed scientific articles and mentor junior AI Researchers with their work, • Periodically presenting recent AI research at internal journal clubs, • Work cross-functionally with scientific colleagues, being a subject matter expert in how AI and Machine Learning can be used to answer cheminformatics and bioinformatics questions, • Keep up-to-date on cutting-edge research in the AI for drug discovery space, • Manage junior AI Research Scientists including having weekly 1:1s, and regular performance reviews Qualifications • PhD in a relevant discipline (Computer Science, Biology, Chemistry, etc.), • 3+ years of relevant industry experience (AI, Drug Discovery, etc.), • A strong understanding of statistics and classical machine learning methods (SVM, RF, etc.), • Industry experience training and deploying cutting edge deep learning methods (Transformers, Graph Neural Networks, etc.), • Wet lab validation of at least 2 AI-driven drug discovery initiatives, • Demonstrated experience writing clean, maintainable, production-quality Python code, with examples available in code repositories, • Familiarity with MLOps and DevOps best practices, • Exposure to distributed computing (Microsoft Azure, HPC Cluster, etc.), • Strong track record of publications of individual research in top-tier AI journals and conferences, • Ability to demonstrate business value related to developed AI and Machine Learning solutions in biology and medicinal chemistry related to your modeling efforts, • Ability to work effectively in a fast-paced startup environment with evolving projects and shifting priorities driven by business needs, • Excellent written and verbal communication skills, including the ability to create clear documentation for roadmaps, proposals, and related materials Nice to Haves • Past experience managing junior AI Research Scientists #LI-Onsite Diversity and Inclusion (1910's Promise) At 1910, we believe that a diverse, equitable, and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. 1910 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, citizenship, marital status, disability, gender identity, or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While 1910 supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills. Benefits and Perks • Competitive compensation package, • Above market benefits, • Generous vacation and parental leave, • Super cool team building activities, • Great colleagues

Job Description Senior Scientist 1/Senior Scientist 2- Translational Sciences About Seismic Seismic Therapeutic is making a major shift in how immunology therapies are discovered and developed, enabled by machine learning. We have brought together a stellar team of leading immunology drug developers, machine learning innovators and company builders who are charting new drug discovery territory to open better and faster ways to make medicines for patients with immune-driven diseases. At our core, we are focused on phenomenal science, supportive culture, a superstar team, meritocracy, and patient-centric goals. Seismic has the tools, skills, ideas and people to make this a reality. Success will be the discovery and development of effective therapies for patients in need, and we invite you to become a part of that. Role Summary This is a terrific opportunity for a highly motivated senior scientist with expertise in translational immunology, focusing in autoimmunity, to join our translational sciences team. In this role, you will design and execute translational strategies that inform biomarker development, and proof-of-concept for our immunology pipeline. Key Responsibilities • Partner with external CROs and clinical sites to execute translational studies., • Oversee biomarker and bioanalytical assays (PK and ADA) development, transfer and implementation in clinical setting, • Analyze and interpret complex immunological datasets from exploratory clinical samples (PBMC, tissue biopsies, serum/plasma), including flow cytometry, CyTOF, single-cell RNA-seq, cytokine profiling, and multiplex immunoassays., • Contribute to regulatory filings, clinical study reports, and scientific publications., • Serve as the scientific lead for immunology biomarker strategy on one or more programs, representing translational science in cross-functional teams., • Identify and evaluate emerging technologies and assay platforms relevant to our pipeline. Required • Ph.D. Immunology or a closely related field., • 3-5+ years of relevant experience in translational research with autoimmunity in an industry setting, • Fluent in bioanalytical assay development, including transferring of assays to CROs, • Hands-on experience with immunological assays: flow cytometry/mass cytometry, ELISAs/MSD, multiplexed cytokine panels, and transcriptomic methods., • Experience with GCP/GLP environments and regulatory submissions (IND, BLA/NDA)., • Experience with bioinformatics tools and analysis of high-dimensional datasets (scRNA-seq, CyTOF, proteomics)., • Deep working knowledge of human immunology, including innate and adaptive immune pathways, T cell biology, B cell biology, or innate immune signaling., • Demonstrated ability to analyze and communicate complex biological data to cross-functional audiences., • Strong publication record or equivalent evidence of scientific contribution. Competencies: • Scientific rigor with the ability to think critically and independently about complex translational questions., • Excellent written and verbal communication skills; able to distill complex science for diverse audiences., • Collaborative, team-oriented mindset with comfort operating in a fast-paced, matrixed environment. Annual Salary Range: $145,000 - $170,000 (depending on level)

Job Description MERL is seeking a Robotics Research Scientist to conduct research in learning, perception, motion planning, manipulation and shared autonomy for robotic systems including quadrupeds, humanoids among other platforms. The successful candidate will develop novel algorithms and theoretical insights while also demonstrating them on robotic platforms in real-world applications relevant to Mitsubishi Electric’s autonomous factories, smart infrastructure, and assistive robotics. Researchers at MERL publish in leading venues such as ICRA, IROS, RSS, NeurIPS, CVPR, and CoRL, and collaborate closely with Mitsubishi Electric business units to translate research innovations into future products. The successful candidate will bring an independent research agenda and a track record commensurate with experience and be capable of working within interdisciplinary R&D teams. Responsibilities for this position include: • Conduct original research in robotics, with an emphasis on developing novel algorithms in areas such as robot learning, perception, planning, and control., • Demonstrate benefits of algorithms on experimental platforms., • Publish research results in top-tier conferences and journals., • Collaborate with other MERL researchers in machine learning, control, optimization, and computer vision., • Partnering with business units, corporate R&D, and academic groups in the execution of R&D projects, • Transferring results and technology to Mitsubishi Electric corporate research laboratories Qualifications for this position are: • PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field., • Strong research background in robotics systems., • Demonstrated publication record in leading robotics and AI conferences., • Expertise in one or more of the following areas:, • Learning-based approaches for robotic systems, particularly in imitation learning, reinforcement learning, • Vision-Language-Action (VLA) models, • Human-Robot Interaction (HRI), • Dexterous manipulation, • Perception using multi-model inputs including vision, tactile feedback., • Motion planning and trajectory optimization, • Multi-robot systems, • Strong programming skills in C++, Python, or similar languages., • Familiarity with ROS / ROS2, robotics simulation tools (such as MuJoCo, Isaac Lab), • Experience validating research results on robotic hardware would be a plus., • A strong publication record in leading conferences and journals, consistent with experience, • Ability to independently propose and plan research programs with academic impact, • Strong teamwork, communication (oral and written), and listening skills The pay range for this position at the commencement of employment is expected to be between $135,000 and $170,000 per year. Actual base pay will depend on a variety of individualized factors, including job-related knowledge, skills, and experience. In addition to base salary, the total compensation package will include an annual performance-based bonus and a comprehensive benefits program encompassing medical, dental, and vision coverage; a generous 401(k) match; commuting and home office stipends and various paid time off programs (including vacation, sick time, personal and parental leave). Specific details regarding participation in these programs will be provided upon an offer of employment. 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. PRINCIPALS ONLY. No phone calls please. Mitsubishi Electric Research Laboratories, Inc. is an Equal Opportunity Employer. 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.

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. As a Senior Data Scientist, you will play a pivotal role in advancing Reify Health's data-driven solutions for clinical trials. In this position, you will drive the development of statistical models and machine learning algorithms to improve patient enrollment and trial management. You'll work in a highly regulated healthcare data environment, ensuring compliance with privacy standards while innovating on predictive analytics. This role involves close collaboration with cross-functional teams (especially ML Engineering) to translate complex data insights into practical, impactful tools for the clinical research community. What You'll Be Working On • Site Randomization Forecasting: Develop/enhance forecasting models for site randomization and enrollment trends, enabling better planning and resource allocation across trial sites., • Patient Matching/Ranking Algorithms: Support projects to build algorithms that intelligently match patients to (or rank patients for) appropriate clinical trials, enhancing recruitment efficiency and patient inclusion., • Develop Other Advanced Statistical Models: Create and refine predictive models (Bayesian inference, regression analysis, time-series forecasting) to address other key clinical trial challenges and improve decision-making., • AI Monitoring and Bias Detection: Implement processes to monitor machine learning models in production, detecting bias or performance drift and ensuring models remain fair, accurate, and compliant., • Data Pipeline & Tooling Development: Build and optimize data pipelines and analytical workflows using tools like AWS Athena, Redshift, SageMaker, and dbt, enabling scalable model training and deployment., • Regulatory Compliance in Data Science: Ensure all data science practices align with HIPAA, GDPR, and other privacy regulations, integrating compliance considerations into model development and data handling., • Cross-Functional Collaboration: Work closely with machine learning engineers, product managers, and other stakeholders to integrate models into products and clearly communicate insights and recommendations. What You Bring to OneStudyTeam, • Education: Master's or Ph.D. in Statistics, Data Science, Computer Science, or a related quantitative field (or equivalent professional experience)., • Experience: 5+ years of hands-on data science or analytics experience, preferably in a healthcare, clinical research, or other highly regulated data environment., • Statistical & ML Expertise: Strong foundation in statistical modeling and machine learning techniques, including experience with Bayesian methods, regression analysis, and time-series forecasting., • Model Monitoring & Fairness: Proficiency in evaluating model performance and bias, with the ability to implement AI monitoring tools and bias mitigation strategies to ensure ethical and reliable outcomes., • Technical Toolset: Advanced programming skills in Python (with libraries such as scikit-learn, PyMC, mlforecast, etc.) and SQL, as well as familiarity with data transformation tools like dbt., • Cloud & Data Infrastructure: Hands-on experience with cloud-based analytics and ML services, especially AWS tools (Athena for querying, Redshift for data warehousing, SageMaker for model development/deployment)., • Regulated Data Handling: Experience working with sensitive healthcare or clinical trial data under regulations like HIPAA and GDPR, demonstrating a deep commitment to data privacy and security best practices., • Collaborative Communication: Excellent teamwork and meticulous verbal/written communication abilities, with a track record of partnering with engineering and product teams to translate data science work into actionable business solutions., • Domain Knowledge: Understanding of clinical research or health-tech environments is highly valuable, including insight into clinical trial operations and a passion for improving patient outcomes through data. The expected salary range for this role is $140,000 - $190,000 USD per year for full time team members. #LI-Remote We value diversity and believe the unique contributions each of us brings drives our success. We do not discriminate on the basis of race, sex, religion, color, national origin, gender identity, age, marital status, veteran status, or disability status. 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). Mandatory Employer Disclosures: Notice to Illinois applicants: Applicants are not obligated to disclose expunged juvenile records or adjudication, arrest, or conviction. Notice to Connecticut applicants: OneStudyTeam may require applicants to submit to a urinalysis drug test in connection with an application for employment. Notice to Arizona, Georgia, Indiana, and North Dakota applicants: OneStudyTeam complies with applicable laws prohibiting smoking in and around places of employment. Notice to 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. Notice to Rhode Island applicants: OneStudyTeam complies with Rhode Island law prohibiting smoking in enclosed areas within places of employment. OneStudyTeam is also subject to is subject to Chapters 29–38 of Title 28 of the Rhode Island General Laws. Notice to Maryland applicants: UNDER MARYLAND LAW, AN EMPLOYER MAY NOT REQUIRE OR DEMAND, AS A CONDITION OF EMPLOYMENT, PROSPECTIVE EMPLOYMENT, OR CONTINUED EMPLOYMENT, THAT AN INDIVIDUAL SUBMIT TO OR TAKE A LIE DETECTOR OR SIMILAR TEST. AN EMPLOYER WHO VIOLATES THIS LAW IS GUILTY OF A MISDEMEANOR AND SUBJECT TO A FINE NOT EXCEEDING $100.

Job Description Company Overview We are the only AI-native biotech, pioneering small and large molecule therapeutics discovery by integrating massive multimodal data, frontier AI models, and high-throughput lab automation into an infrastructure for AI-enabled drug discovery. We hire top 1% talent to join our interdisciplinary team of scientists, engineers, researchers, operators, innovators, drug developers, business professionals, and technologists. Join us to build the world's first AI infrastructure for tech-enabled drug discovery and to deliver a pipeline of diverse drug modalities for all major disease areas. As an AI Research Scientist I at 1910 you will be expected to roll up your sleeves as an Individual Contributor (IC) by keeping up with relevant scientific literature, prototyping promising methods, and contributing to our active drug design campaigns by applying 1910's productionized AI/ML models. Role Description • Propose and prototype AI and Machine Learning solutions that address use cases in 1910's design pipeline, • Apply productized AI and Machine Learning models to advance 1910's active drug design campaigns with the support of senior members of the AI Research Team, • Write and publish peer reviewed scientific articles with the support of senior members of the AI Research Team, • Periodically presenting recent AI research at internal journal clubs, • Learn how a molecule processes through the drug discovery process, • Work cross-functionally with scientific colleagues, being a subject matter expert in how AI and Machine Learning can be used to answer cheminformatics and bioinformatics questions, • Keep up-to-date on cutting-edge research in the AI for drug discovery space Qualifications • PhD in a relevant discipline (Computer Science, Biology, Chemistry, etc.), • A strong understanding of statistics and classical machine learning methods (SVM, RF, etc.), • Experience training and deploying cutting edge deep learning methods (Transformers, Graph Neural Networks, etc.), • Demonstrated experience writing clean, maintainable, production-quality Python code, with examples available in code repositories., • Familiarity with MLOps and DevOps best practices, • Exposure to distributed computing (Microsoft Azure, HPC Cluster, etc.), • Ability to work effectively in a fast-paced startup environment with evolving projects and shifting priorities driven by business needs, • Excellent written and verbal communication skills, including the ability to create clear documentation for roadmaps, proposals, and related materials Nice to Haves • An understanding of how a molecule progresses through the drug discovery process, • Relevant industry experience via internship and co-op (AI, Drug Discovery, etc.) #LI-Onsite Diversity and Inclusion (1910's Promise) At 1910, we believe that a diverse, equitable, and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. 1910 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, citizenship, marital status, disability, gender identity, or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While 1910 supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills. Benefits and Perks • Competitive compensation package, • Above market benefits, • Generous vacation and parental leave, • Super cool team building activities, • Great colleagues

Job Description About the Team: The Maritime Domain Awareness Group (MDA) develops and delivers advanced signal processing algorithms and techniques for airborne radar and passive optical systems. MDA fosters a culture of innovation, collaboration, and execution. We develop and analyze cutting edge algorithms for detection and exploitation of signals in high clutter and noise environments using both classical, physics-based approaches, and big data-driven artificial intelligence and machine learning (AI/ML) techniques. If you are seeking an opportunity to apply your deep technical knowledge and creativity in a fast-paced, challenging environment to make a lasting impact, we invite you to join us. The Role: We are looking for a Senior Scientist to develop state-of-the-art algorithms and techniques for airborne passive optical systems for the purpose of detection and exploitation of targets with low signal to noise ratios. You will apply first principles of physics to model and simulate realistic environments to develop a deep understanding of clutter environments and then apply that knowledge to develop all relevant components of the signal processing chain from the raw sensor data to the target classification. What you will do: • Work closely with program leadership to spearhead efforts that align with program and company priorities, • Conceive, prototype, test, and mature image processing algorithms for critical national security missions, • Document and present products to a community of scientists and subject matter experts Who You Are: • Ability to obtain and maintain a security clearance, for which U.S. citizenship is needed by U.S. Government, • BA, or MS in Physics, Applied Mathematics, Electrical Engineering, or related technical discipline, • 3-5+ years of relevant work experience, • Expertise in two or more of the following areas:, • Signal processing, Fourier analysis, linear estimation, optimization, adaptive signal processing, AI/ML algorithm development, algorithm development, modeling & simulation, systems engineering, optics modelling, • Experience building and delivering technical briefs to peers, senior level executives, and customers, • Proficiency in one or more scientific or mathematical programming languages, such as MATLAB, Python, and C/C++, • Experienced researcher and team member who is excited to work with mission partners to leverage cutting-edge technology and research for immediate impact, • Excellent communicator and briefer, who is comfortable communicating with both technical and non-technical audiences, • Strong mathematical, written, and verbal communication skills Even Better: • Active Secret or TS/SCI Clearance, • Demonstrated leadership of complex research, development, and engineering efforts, • Experience with:, • Passive optical technologies in the defense sector, particularly airborne, downward-looking sensors, • Computer vision techniques such as feature identification/matching/tracking, optical flow, background subtraction, etc, • Interacting with decision-makers and customers to translate mission needs into an end-to-end solution, • Demonstrated ability to conceive, prototype, test, and mature novel algorithms for challenging sensors Pay Information Full-Time Salary Range: $139,000 - $180,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description About the Team STR's Analytics and C2 Division researches and develops novel technologies to solve challenging national security problems through advanced analytics. Our team consists of passionate and motivated engineers and scientists with advanced degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation to improve mission success of our customers. The Signals Exploitation and Tracking (SET) Group in the Analytics and C2 Division focuses on applying machine learning, statistics, estimation theory, and information theory algorithms for signals exploitation, target tracking, predictive analytics, and system resource management. The Role As a Lead Software Engineer at STR, you will help develop disruptive technologies focused on estimation theory, prediction and system resource management. You will design and implement flexible software solutions and collaborate with multi-disciplinary project teams. You will provide high-impact, unique solutions for our customers' most important problems. We are looking for someone to join our team onsite as this position is based primarily in the Woburn, MA office. Who you are: • Active Top Secret Clearance Required with SCI eligibility, for which U.S citizenship is needed by the U.S government, • MS with at least 8 years of experience, and/or PhD with at least 5 years of experience (or equivalent experience) in a scientific field such as applied math, physics, electrical engineering, computer science, or data science, • Proficient in writing maintainable, well documented code and APIs, • Able to work and collaborate on multi-disciplinary teams, • Experience using Linux, • Expertise using C++, Python, and Java, • Experience with container-based software (e.g. Docker, Kubernetes) Even better: • Have experience in intelligence or military-related mission areas, • Have experience with micro-service architecture and DevOps pipelines Pay Information Full-Time Salary Range: $174,000 - $220,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

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., • Mission-driven and business-focused mindset: A passion for our mission to speed up clinical trials and improve patient outcomes. Empathy for patients, clinicians, and researchers drives you to build unbiased AI solutions. The expected salary range for this role is $140,000 - $190,000 USD per year for full time team members. We value diversity and believe the unique contributions each of us brings drives our success. We do not discriminate on the basis of race, sex, religion, color, national origin, gender identity, age, marital status, veteran status, or disability status. 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). Mandatory Employer Disclosures: Notice to Illinois applicants: Applicants are not obligated to disclose expunged juvenile records or adjudication, arrest, or conviction. Notice to Connecticut applicants: OneStudyTeam may require applicants to submit to a urinalysis drug test in connection with an application for employment. Notice to Arizona, Georgia, Indiana, and North Dakota applicants: OneStudyTeam complies with applicable laws prohibiting smoking in and around places of employment. Notice to 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. Notice to Rhode Island applicants: OneStudyTeam complies with Rhode Island law prohibiting smoking in enclosed areas within places of employment. OneStudyTeam is also subject to is subject to Chapters 29–38 of Title 28 of the Rhode Island General Laws. Notice to Maryland applicants: UNDER MARYLAND LAW, AN EMPLOYER MAY NOT REQUIRE OR DEMAND, AS A CONDITION OF EMPLOYMENT, PROSPECTIVE EMPLOYMENT, OR CONTINUED EMPLOYMENT, THAT AN INDIVIDUAL SUBMIT TO OR TAKE A LIE DETECTOR OR SIMILAR TEST. AN EMPLOYER WHO VIOLATES THIS LAW IS GUILTY OF A MISDEMEANOR AND SUBJECT TO A FINE NOT EXCEEDING $100.

Job DescriptionAt WHOOP, we are 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 Senior Data Platform Engineer to build and evolve the foundational infrastructure that powers our data platform, lakehouse, and real-time data systems. In this role, you will partner closely with data engineers, ML platform engineers, software engineers, and data scientists to design, develop, and operate the core services and workflows that enable reliable, scalable, and efficient data movement across the organization. As a senior individual contributor, you will own critical parts of the platform end to end - from architecture and implementation to reliability, observability, and operational excellence. You will help shape the technical direction of WHOOP’s data ecosystem, improve developer experience for internal data consumers, and ensure our systems can support analytics, machine learning, and product innovation at scale.This role requires a strong ownership mindset, the ability to operate with minimal guidance, and a focus on delivering production grade systems. You are also expected to actively leverage AI assisted development tools to improve speed, quality, and maintainability, and to help set the standard for effective AI usage across the team. RESPONSIBILITES: Design, build, and operate the core infrastructure and services that power WHOOP’s data platform, including lakehouse, warehouse, and streaming systems. Improve the performance, reliability, and cost efficiency of our data systems, including Iceberg, Snowflake, and AWS-based data infrastructure. Build and enhance internal tooling, APIs, and automation that improve platform usability and developer experience for data engineers, analysts, and data scientists. Lead platform engineering best practices across CI/CD, infrastructure as code, testing, deployments, and operational readiness. Strengthen observability and operational excellence through monitoring, alerting, incident response, and continuous improvement of production systems. Partner cross-functionally with Data Science, Analytics, ML Platform, and Software Engineering teams to support scalable and efficient data workflows. Drive best practices for data architecture, pipeline design, governance, and platform usage across the company. Leverage AI tools to accelerate development, improve code quality, and enhance debugging and documentation workflows QUALIFICATIONS: 5+ years of experience in data engineering, platform engineering, or software engineering with significant ownership of production data systems. Strong proficiency in Python and SQL. Java experience is nice to have. Experience designing and operating scalable data platforms, pipelines, or distributed data systems in production environments. Hands-on experience with Snowflake and modern cloud data infrastructure. Experience with AWS services such as S3, EKS, EMR, EC2, or related cloud-native infrastructure. Experience with orchestration frameworks such as Airflow or Prefect. Strong understanding of CI/CD, infrastructure as code, and DevOps practices for data platforms. Ability to independently drive technical projects and own systems end to end with a high degree of autonomy. Strong communication and collaboration skills, with the ability to work effectively across engineering and data teams. Commitment to leveraging AI-assisted development tools thoughtfully and effectively, while maintaining a high bar for engineering quality. 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. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. 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. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $150,000-$215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP.

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 klaviyo.com/careers to see how we empower creators to own their own destiny. Summary Klaviyo is looking for a Lead Data Science Analyst to join our GTM Strategic Analytics & Insights team. In this role, you will serve as a senior individual contributor at the intersection of advanced data science, AI/LLM-driven innovation, and Go-to-Market strategy. You will build and maintain sophisticated predictive and inferential models, conduct deep-dive statistical analyses, and develop AI-first solutions that unlock meaningful insights across the pre and post Sales Customer lifecycle. The successful candidate will partner closely with GTM leadership to shape how Klaviyo understands, measures, and accelerates new business and customer outcomes; from pre-sales motion through onboarding, expansion and retention. You will operate with a strong bias toward AI-augmented workflows and bring a modern, LLM-aware approach to every analytical challenge. The ideal candidate is intellectually curious, strategically minded, and energized by hard problems. They bring deep technical fluency across the full data science stack, a demonstrated ability to influence senior stakeholders through clear storytelling, and a genuine commitment to building AI-first solutions in a fast-moving SaaS environment. How You Will Make a Difference • Build and maintain advanced models: Build and maintain advanced predictive and time-series models: design, train, deploy, and monitor models across use cases such as demand forecasting, capacity planning, deal scoring, and customer propensity; incorporate seasonality, exogenous drivers, and backtesting frameworks to ensure accuracy and robustness, • Apply statistical rigor: lead deep-dive analyses leveraging regression, causal inference, hypothesis testing, correlation analysis, and other statistical methods to surface actionable signals from complex, large-scale datasets, • Develop AI/LLM-powered solutions: architect and implement AI-first analyses and tooling using large language models, prompt engineering, retrieval-augmented generation (RAG), and related techniques to automate insight generation, surface qualitative signals at scale, and augment team capabilities, • Own forecasting and decision systems: Own end-to-end forecasting and operational decision systems, including time-series demand forecasting, capacity planning models (e.g., Erlang-based staffing), and production pipelines that power GTM and Support planning workflows; ensure reliability, scalability, and business adoption of outputs, • Drive customer intelligence: develop and maintain prospect, deal health, archetype, and capacity models that inform GTM strategy, planning, and growth initiatives, • Define the measurement framework: identify, create, and steward benchmarks and metrics that meaningfully represent growth, engagement, and success outcomes, • Communicate with impact: distill complex analyses into clear, cohesive narratives with executive-ready materials that drive decisions at the senior leadership level, • Collaborate cross-functionally: partner with Systems & Engineering, GTM Operations, Rev Ops & Planning, Product, Business Intelligence, Data Science, and Finance to ensure analytical solutions are integrated, scalable, and trustedWho You Are, • 6+ years of professional experience in an advanced analytics or data science role; SaaS experience strongly preferred, • Deep expertise in statistical inference and modeling, including supervised techniques (regression, classification, gradient boosting, decision trees) and unsupervised techniques (clustering, PCA, anomaly detection, topic modeling), • Hands-on experience designing and deploying AI/LLM-based solutions, including prompt engineering, fine-tuning, RAG pipelines, or LLM-integrated analytics workflows; you approach new problems with an AI-first mindset, • Familiarity and experience with distributed coding projects, including using Git for code management., • Advanced proficiency in Python (pandas, numpy, scikit-learn, xgboost, statsmodels, and LLM/AI libraries such as LangChain, OpenAI SDK, or HuggingFace) and SQL; working knowledge of DBT, • Own and scale end-to-end data pipelines, including orchestration with Airflow and transformation/modeling with dbt; design reliable, testable, and modular workflows that support production-grade analytics and machine learning use cases, with a focus on performance, data quality, and maintainability., • Develop and iterate on time-series forecasting frameworks using approaches such as ARIMA/SARIMAX, ETS, MSTL, and machine learning-based models; evaluate performance through rigorous backtesting and continuously improve model accuracy and business applicability, • Experience building data visualizations and dashboards across platforms such as Tableau, ThoughtSpot, matplotlib, seaborn, plotly, or similar tooling., • Strong project ownership: experienced operating to a roadmap, managing milestones and deliverables, and delivering high-quality work product in a timely manner, • Comfortable with autonomy and ambiguity, with a proactive orientation toward identifying and solving problems before they're fully defined, • Excellent written and verbal communication skills, including experience preparing materials for executive audiences 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:$120,000—$180,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. 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 Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Are you looking to combine your passion for technology with your penchant for strategic problem solving? Appian Customer Success is obsessed with great customer outcomes. We deliver mission-critical business impact fast and are directly responsible for partnering with our customers to bring their best ideas to life. Joining the Customer Success team provides you with the support and growth you need to strengthen and evolve your consulting skills while driving next-generation, AI-powered digital transformations. We are seeking a Senior Technical Consultant to join our Customer Success team. In this role, you will be engaging with our customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to work throughout the entire project life-cycle to define, design, develop and implement custom software and AI solutions using Appian's platform for our commercial clients. This includes working within an agile environment to understand our client's business processes and technical needs, launch new relational data models in production, and developing APIs to integrate with multiple systems. You'll brainstorm AI use cases and implement Appian's AI tools by applying retrieval augment generation (RAG), agentic workflows, prompt engineering and the latest generative models as a part of transforming how customers run their organization. You will also collaborate with client's technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self-sufficient with building process applications on their own. To be successful in this role, you need: • Passion for mentoring/developing others and experience leading small teams through post-sale software implementation, • Ability to work with clients to define business processes and gather functional and technical system requirements, • Excellent communication skills, passion for technology and continuous learning, and affinity for asking "why" and solving the right problems, • History of success on cross-functional teams; experience building products using agile methodologies (pair programming, stand-ups, planning sessions, and sprints), • Basic understanding of object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc), • Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred) Basic qualifications: • 3+ years of experience with hands-on software development or technical consulting, • B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree, • Willingness to travel; 20% to support customer engagement The base salary for this role is between $100,000-$150,000 per year and represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Tools and Resources • Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires., • Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities., • Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country—please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides process automation technology. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for 25 years and understand enterprise operations like no one else. For more information, visit appian.com. [Nasdaq: APPN] Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at ReasonableAccommodations@appian.com. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice

Job Descriptionmabl is on a mission to empower software teams with an AI-powered low-code test automation platform that streamlines testing across web, mobile, API, accessibility, and performance. We enable everyone from global enterprises to fast-growing startups to integrate application testing into their development pipelines, accelerating their testing and boosting release cycles, regardless of technical experience.In 2024, mabl was awarded its 5th AI Breakthrough Award, cementing its position as the #1 AI-powered testing platform in the world. While we continue to grow with the pace of technology, we also believe strongly in the value of culture (our most recent internal survey shows that 92% of our employees feel supported by the flexibility of their work, and 97% believe their manager genuinely cares about their wellbeing.) To continue delivering on our mission of transforming the testing space, we're looking for people to join our team of leaders, experts, innovators, and community builders. Our core values are: drive, authenticity, support, and insight; these are the foundation of our culture and a key part of what it means to be a mabler. We practice transparency, embrace collaboration, and lead with empathy while encouraging each other to bring our most authentic selves to work.The RoleJoin our world-class engineering team and collaborate with talented cross-functional partners to revolutionize software testing. You will play a pivotal role in building intuitive solutions that empower customers to identify and resolve quality issues. As a key member of the team, you will develop and extend core features of our AI-enabled, unified test automation platform, delivering easy-to-use, powerful capabilities in intelligent web app testing that adapts to UI changes, flexible mobile app testing that spans platforms and devices, and robust API testing with advanced validation. Your work will directly impact mabl's growth, drive customer success, and contribute to our innovative and collaborative culture.As a full-stack engineer, you will have a unique opportunity to expand your skillset and influence the entire product lifecycle. You will contribute across a diverse range of technologies and domains: • Develop intuitive, high-performance user interfaces that streamline test creation, execution, and analysis., • Design and implement robust, scalable APIs that deliver power functionality within the platform and across the customer's environment, • Employ new technologies, like generative AI and LLMs, to bring innovative solutions to longstanding customer problems., • Build and optimize data pipelines to extract meaningful insights from test results., • Enhance test execution engines that support diverse testing needs and environments., • Architect and maintain a resilient, scalable cloud infrastructure to ensure the platform's reliability and performance., • Participate in an on-call rotation to ensure the system remains highly available.We know that great team members come from all different backgrounds. We understand that you may not meet all of the qualifications today. If you are passionate about technology and want to advance your skills, we encourage you to apply.About You Approach, • You are curious and committed to learning—about new languages, frameworks, and tools; about new parts of the code base; about ways to grow as an engineer; about quality problems that users have; and about how mabl can help address those problems., • You value working as part of a small, self-directed team to define, implement, test, and support solutions to high-level product challenges. You take responsibility for the quality and impact of your own contributions and those of your teammates., • You collaborate easily with other engineers, product managers, designers, and cross-functional stakeholders., • You seek out and incorporate customer feedback continually, including regularly joining customer calls., • You are excited about generative AI and LLM technologies and the new solutions that they unlock for real customer problems., • You are an advocate for quality code, and you are interested in building tools that help others improve the quality of their code and product., • You are committed to team success, contributing wherever needed, even if outside your normal code base, language, framework, or Cloud.About Your Background, • You have 7+ years of professional software development experience building complex systems and web apps., • You have designed, architected, and implemented software systems end-to-end, accounting for scalability, reliability, and maintainability. You deliver systems with high functional and non-functional quality through testing at all levels (unit, integration, end-to-end, UI, accessibility, performance, etc.)., • You have experience working on complex systems at the fundamental platform level., • You have a deep understanding of core web domain concepts like HTTP, HTML, CSS, JS, and JSON., • You have working knowledge of Cloud concepts and managing infrastructure as code. You participate in the full software development life-cycle, including deployment, testing, maintenance, and operation., • You have used generative AI and LLM-based tools to bring new and delightful solutions to long-standing customer problems., • You understand core UX design issues and can work effectively with designers to deliver delightful user experiences., • You have strong data management and analysis skills. You can work with SQL and NoSQL databases. You can build custom data analysis pipelines. You can present actionable insights to end users.Sample of Our Technology Stack, • Languages: TypeScript, Java, JavaScript, Node.js, • Cloud Platform: Google, • Front end: React, React Router, Redux, • Machine Learning: Gemini, Tensorflow, ML Engine, • Data Analysis: BigQuery, DataFlow, Spanner, • Developer workflow: GitHub, Copilot, GitHub Actions Engineering at mablThe Engineering team is driven by mabl's core values: drive, insight, support, and authenticity. Working closely with our users and the rest of the product team, the Engineering team builds and supports the cloud-native service that enables our customers to create, manage, and run end-to-end tests running on a scalable infrastructure. We value small, self-organizing teams that are empowered to make decisions and quickly solve problems. We strive to deliver the best experience to our customers and prospects. While our primary job is to build quality software through rigorous engineering practice, mabl engineers engage in all phases of product development.Working at mabl • We embrace hybrid and remote work across the US and around the world!, • We have 80+ mablers spread across the world in 4 countries, 3 continents, and about 18 states., • Teams get together annually to foster lasting personal relationships and we encourage mablers to visit our Boston office when possible., • Our Diversity, Equity, and Inclusion committee drives budgeted initiatives across all facets of the company, including recruiting, onboarding, education, and celebrations., • We've won a number of awards for our work and culture, including being named to BuiltIn's Best Places to Work in Boston five times, Boston Globe's Top Places to Work for DEI, and Business Intelligence's Excellence in Customer Service Award., • We invest significantly in benefits and perks, including generous parental leave, rich health benefits, and employee wellness and collaboration perks., • We value our employees and show our appreciation through rewards and recognition programs, such as our mabl Kudos program and annual Founders Award! About Usmabl is the enterprise SaaS leader of AI-driven, low-code test automation that empowers high-velocity software teams to embed automated end-to-end tests into the entire development lifecycle. mabl customers benefit from a unified platform for easily creating, executing, and maintaining reliable browser, API and mobile web tests that result in faster delivery of high-quality, business critical applications. That's why customer-centric brands like Liberty Mutual, jetBlue, Intuit, Stack Overflow, and many others rely on mabl to create the digital experiences their customers demand. Learn more at https://www.mabl.com; follow @mablhq on Twitter and @mabl on LinkedIn.

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Arabic, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on locationWhy This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. 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 klaviyo.com/careers to see how we empower creators to own their own destiny. Engineering Manager, Customer Agent Are you looking for one of the most impactful AI-native leadership roles in Boston? Join us at Klaviyo and lead the team building Customer Agent, a conversational AI system that enables brands to interact with their customers at a scale they have never achieved before. Customer Agent is central to Klaviyo's vision for AI-powered customer engagement. It delivers real-time, contextually aware conversations that help brands support, convert, and retain millions of consumers. We are just beginning to unlock what is possible, and we are looking for an engineering leader who is eager to define that future. We are seeking someone with deep experience building and scaling agentic systems and AI-enabled products. You will shape how Customer Agent evolves into a highly extensible and reliable platform. This includes setting technical direction in partnership with your team, developing and growing the team, driving foundational architectural decisions through the team, and keeping pace with rapid advances in the AI ecosystem. Although this is a leadership role, we value candidates with strong hands-on engineering experience who can engage deeply with complex technical problems. In this role, you will own the team's mission, strategy, and roadmap. You will work closely with leaders across engineering, product, data science, and go-to-market functions to define requirements, set priorities, and measure success. You will guide system design, ensure platform reliability, and deliver features that significantly improve customer conversations and outcomes. You will also lead teams that apply machine learning models and LLM-based APIs to create adaptive and personalized conversational agents. This position is ideal for a leader who wants to shape the next generation of conversational AI and redefine how brands and customers interact at global scale. How You Will Make a Difference: • Lead and manage a team of full-stack and AI engineers and directly manage some workstreams yourself., • Collaborate on project planning, define achievements, identify dependencies, and ensure business goals are met., • Actively participate in interviewing, hiring, and team leveling., • Develop SMART goals and career development plans for direct reports., • Develop and execute technical strategies aligned with Klaviyo's business goals, ensuring exceptional products and a reliable, user-friendly AI systems roadmap., • Engage with internal and external stakeholders to understand needs, resolve blockers, manage expectations, and translate customer needs into valuable AI-driven roadmaps and solutions., • Advise the team on modeling, system design, experimental design, and implementation decisions., • Improve engineering-wide processes such as recruiting, performance development, communication, and agile development., • Stay current with emerging AI trends and technologies, identifying and leveraging opportunities within Klaviyo's ecosystem.Who You Are:, • Experience building AI-driven product features in a full-stack capacity and leading teams who have built scaled systems., • 5+ years of experience in software engineering, 2+ years of experience managing engineering teams, including remote members and lead engineers., • Exceptional communication skills, capable of collaborating with diverse stakeholders to translate business/product roadmaps into AI-driven technical roadmaps and solutions that add significant customer and business value., • Motivated to grow the team through developing current members and attracting new talent to expand capabilities., • Eager to engage with code, understand the product area, and provide applicable technical mentorship., • In-depth understanding of common engineering architectures for highly scalable systems., • Proven ability to lead and deliver complex, multi-quarter projects involving at least two teams., • Comfortable conducting performance reviews and mentoring team members at all levels.Bonus Points:, • We love recovering entrepreneurs. If you've ever run your own thing, you'll have company on our team. Boston, MA - Hybrid Role 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:$176,000—$264,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. 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 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.), • Experience analyzing geospatial dataThere are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. 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 Philo, we're a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we're building the TV experience that we've always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences. Senior Backend Software Engineer (Video Engineering) Video is at the core of Philo and what customers engage with the most: watching their favorite shows. The Video Infrastructure team is crucial for delivering on this high expectation, and — together with the Ads team — for generating significant revenue through advertising. We own the systems that get every frame of Philo to every screen: live and video on demand transcoding, DRM and license servers, manifest generation that holds up under peak live events, and Server-Side Ad Insertion (SSAI). We support playback across all major streaming platforms, and partner closely with the Ads, Client, and Data teams to build out the end-to-end video player and ad experience. We increasingly apply machine learning to inspect both content and ads — surfacing quality issues, optimizing encodes, and improving the viewing experience in ways that weren't possible a few years ago. Philo's video streaming infrastructure is highly distributed, horizontally scalable, and harnesses the power of cloud computing to deliver video at exabyte scale. Our video pipeline, developed in-house, uses industry-leading commercial and open source components to transcode, package in real-time, and generate HLS and DASH manifests on a per-user, per-session basis. The team also builds and maintains highly available RESTful web services that dynamically scale to meet the ever-increasing demands of simultaneous video streams across our platform. We are seeking an enthusiastic Senior Software Engineer to help us build and optimize the next generation of our video ingest, transcode and delivery platform. This is a high impact role that influences every video stream that Philo serves. If you endeavor to see how your work directly impacts end-users this is the role for you. Responsibilities: • Design, implement, deploy and monitor the next generation of Philo's video streaming pipeline, using a combination of in-house technology and open source software., • Collaborate with content partners to engineer systems that deliver the best possible TV watching experience for Philo's users., • Build scalable and resilient data pipelines for ingesting video and analytics events using distributed computing and micro-services architecture principles., • Collaborate with internal stakeholders across video delivery, ad operations, and data science teams to ensure we are measuring and optimizing every aspect of our video delivery process and our users' viewing experience., • Drive continuous improvements to the reliability, performance, latency and security of Philo's video streaming platform., • Drive evaluation, selection, and development of video encoding technologies to optimize video quality and reduce CDN delivery costs., • Assist our client engineering teams in testing and improving video streaming QoE as we develop Philo apps for several new platforms.Qualifications:, • 8+ years of software development experience., • Proven track record of building highly efficient and highly available software using Golang, Java, C++ or similar programming languages., • Deep experience with concurrent programming., • Experience building concurrent HA and high throughput RESTful web services., • Experience operating in cloud computing environments using modern software deployment technologies (e.g. Docker, Kubernetes)., • Demonstrated ability to own and drive complex architectural/development tasks to completion by following Scrum/Agile methodologies., • Experience working with large amounts of data and making data-based decisions to prioritize projects, including familiarity with relational and non-relational databases and modern data warehousing and querying., • Experience and aptitude for collaborating and communicating with internal and external stakeholders in both business and technical roles., • Familiarity with cloud video transcoding services such as AWS Elemental and Azure Media Services. Knowledge of FFmpeg is a plus. Ideal Qualifications: • Experience building or integrating audio and video codecs such as AAC, H.264/AVC, H.265/HEVC and AV1., • Experience with video quality assessment tools such as VMAF, SSIM, etc., • Experience with video streaming protocols such as MPEG-DASH, HLS, MPEG TS, fMP4, CMAF, Zixi, and SRT., • Experience with OTT video packaging and DRM., • Familiarity with Server-Side Ad Insertion (SSAI). Bonus Points: • Experienced mentor with a talent for motivating, leading, and inspiring teams to achieve high levels of success. We are language agnostic, but most of our backend code is written in Golang, Ruby and NodeJS, with some C++ and Python. Our services run on Kubernetes, and we practice continuous deployment across all of our systems. More about Philo At Philo, we're a company that puts people first—both our subscribers and our team. We empower our colleagues to do their best work while supporting one another in pursuing shared goals. We value pragmatism, pride in our work, and passion, with transparency and openness as fundamental parts of our culture. We're committed to diversity, equity, inclusion, and accessibility as we grow the Philo team and shape the future of TV. We believe that a diverse range of voices and perspectives enables us to innovate faster and create the best experiences for our subscribers. Philo is proud to be an Equal Opportunity Employer. We're committed to supporting every candidate and employee. If you need an accommodation at any stage of the process, please email recruiting@philo.com and we'll work with you to meet your needs. Philo offers 70+ top-rated networks, including AMC, BET, CMT, Comedy Central, Discovery Channel, Food Network, Hallmark Channel, HGTV, HISTORY, Investigation Discovery, Lifetime, MTV, Nickelodeon, OWN, VH1, We TV, and more. It also includes all the groundbreaking originals and blockbuster movies available with AMC+ and access to HBO Max Basic With Ads and discovery+. Our service also includes 100+ free channels and premium add-ons like STARZ and MGM+. Our extensive library boasts over 85,000 titles, and our unlimited DVR allows users to save their favorite shows and movies for up to a year, skipping ads for a seamless viewing experience. Stream on up to three devices simultaneously, whether on your phone, tablet, laptop, or TV using Roku, Apple TV, Fire TV, Samsung TV, Android TV, Vizio TV, or Chromecast. Philo is headquartered in San Francisco, with offices in New York City and Cambridge, MA. Our leadership team includes alums from HBO, Tubi, and Meraki, and is backed by NEA and industry partners like Warner Brothers Discovery, Viacom, AMC, and A&E. Join us at Philo and be part of a team that's shaping the future of TV! Projected Start Date: ASAP Status: Full-time Location: San Francisco, CA, Brooklyn, NY, Cambridge, MA, or fully remote within the U.S. Compensation: Includes annual salary, company stock options, and health benefits. Salary is determined by experience and location: • San Francisco, New York City: $180K - $235K, • Boston, DC Metro, Los Angeles, Seattle: $170K - $225K, • Denver, Atlanta, Austin, Las Vegas, Sacramento, Chicago: $160K - $215K, • Texas, Florida: $150K - $205K We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team: • Full health, dental and vision coverage for you and your family, • 401(k) plan with employer contributions (we match 100% of deferrals up to 3% of pay and 50% of the next 2% of pay), • Flexible working hours, • Up to 20 weeks of fully paid parental leave, • Unlimited paid time off for vacation and sick leave, • $2,000 annual vacation bonus (we pay you to take a two week vacation), • $5,250 annually for professional development and educational assistance, • $1,250 annual home office + TV stipend during first year of employment ($250 annually thereafter), • $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices, plus generous commuter benefits ($315/month towards transit, rideshare, bike rental, or parking at our HQ office in San Francisco), • Free Gympass subscription — an all-in-one corporate benefit that gives employees the largest selection of gyms, studios, classes, training and wellness apps, • Dog-friendly office, • And much more! For California Residents: Philo's CCPA Notice at Collection – Employees, Applicants, Owners, Directors, Officers and Contractors Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Job DescriptionDescription: The ADA Forsyth Institute was founded in 1910 as the Forsyth Dental Infirmary for Children (later, the Forsyth Institute), to provide dental care to the disadvantaged children of Boston. While continuing to serve children in need, yet recognizing the ultimate goal is to prevent dental disease, the Institute in 1915 began to focus on scientific research and is today the world’s leader in oral health research. In October of 2023, the Institute joined with the American Dental Association to form the ADA Forsyth Institute, a 501(c)(3) entity dedicated to improving people’s oral and overall health and powering the profession of dentistry through cutting-edge basic research, creative translational science, innovative clinical technologies, and global public health outreach. Consistent with the Institute’s founding mission, the ADA ForsythKids mobile dental program continues to serve children in need. ADA Forsyth, an independent not-for-profit research organization, is located in the Brick bottom District of Somerville, in a newly built life-science building. We are in close walking distance to restaurants, the Community Path, and T & bus routes for easy commuting. We are seeking a highly motivated Postdoctoral Fellow to join a dynamic research team for a 5-year project funded by the National Institute of Dental and Craniofacial Research (NIDCR/NIH). This project aims to develop a streamlined platform for creating bioactive dental restoratives with self-healing and dynamic capabilities, tailored to individual patient needs. Using hybrid modeling and simulation approaches, we will refine material formulations and optimize the application of restorative materials for effective caries treatment. The successful candidate will collaborate with materials scientists, microbiologists, AI and Machine Learning experts, and dentists. Additionally, opportunities for participation in NIH training programs and career development initiatives will be available. We welcome self-driven researchers to join our team and contribute to advancing global oral health through innovative biomaterials research. For additional inquiries, please contact Dr. Jirun Sun, Full Professor, ADA Forsyth Institute: jsun@forsyth.org. RESPONSIBILITIES • Independently plan, design, optimize and execute experiments., • Design, prepare, and characterize dental adhesives and composites., • Perform experiments to improve performance and robustness., • Carry out dental bonding, bioactive mineralization, mechanical testing and durability experiments., • Analyze and interpret experimental data, as well as maintain accurate and detailed documentation of completed experiments., • Development, verification, validation and technology transfer of dental restoratives and other dental products.Requirements:, • PhD, DDS, or equivalent degree in chemistry, mechanical engineering, polymer science, materials science, chemical engineering, or related fields., • Strong motivation, responsibility, and attention to detail., • Excellent analytical, problem-solving, and experimental skills., • Effective interpersonal and communication skills., • Ability to work collaboratively in a multidisciplinary environment., • Willingness to learn new techniques and operate specialized instruments. PREFERRED QUALIFICATIONS: • Experience in calcium phosphate mineralization, • Experience in antimicrobial evaluation, • Expertise in mechanical testing including three-point bending, fracture toughness and fatigue evaluation., • Experience and knowledge in spectrometers, SEM, DMA, Instron, and nanoindentor, • Familiar with dental bonding procedures and bonding tests., • Familiar with additive manufacturing ADA Forsyth Institute is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.

Job Description About TetraScience TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review “The Tetra Way,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you. Who You Are You are a strategic, analytically minded professional with a passion for bridging scientific insights and cutting-edge technology. You thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. With deep domain knowledge in Analytical Development and/or synthetic route optimization, you are skilled at uncovering innovative use cases that drive AI and machine learning applications. Your ability to engage with scientists and business leaders alike makes you a key player in maximizing the value of scientific data. You will need to be a high clock speed and forward-thinking individual with a passion for developing requirements for complex solutions targeted to R&D and Quality personas inside of Life Sciences. You will need to fundamentally embody the principles of extreme ownership and have a demonstrated history of deriving maximum value from data through enrichment, analysis, and integration with AI and machine learning applications. This role will require extreme self-discipline and determination as we forge a category that will fundamentally and forever change the life science industry. Requirements What You Will Do • Customer Data Exploration: Investigate customer datasets to identify gaps, enrichment opportunities, and AI-readiness factors., • Scientific Use Case Development: Collaborate with customers to define, iterate, and refine AI/ML-driven scientific use cases., • Stakeholder Engagement: Interview scientists and guide them in expanding and leveraging their data for AI applications., • Data Analysis and Enrichment: Perform exploratory data analysis (EDA) and define data transformations for AI/ML use cases., • Workflow Documentation: Develop workflow diagrams, process mappings,, AS-IS/TO-BE workflows, and ontology definitions., • AI Model Evaluation: Provide feedback on AI/ML models to enhance scientific outcomes and improve product offerings., • Customer Education and Demonstration: Conduct technical demonstrations, showcase AI applications, and drive adoption., • Strategic Recommendations: Proactively suggest experiments or data strategies that strengthen customer insights and outcomes. What You Will Have Done • M.S or PhD with 8-10+ years of industry experience in life sciences with extensive domain knowledge in Analytical Development and/or synthetic route optimization., • Proven track record of defining and implementing AI/ML-driven use cases in productized environments to support analytical method development and/or synthetic route optimization, • Collaborated with cross-functional teams, including product managers, software engineers, and scientific stakeholders., • Performed extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible., • Engaged diverse audiences, from scientists to executive stakeholders using your excellent communication and storytelling abilities, • Advised scientists in a consulting capacity to further research, development, and quality testing outcomes. Benefits • 100% employer-paid benefits for all eligible employees and immediate family members, • Unlimited paid time off (PTO), • 401K, • Company paid Life Insurance, LTD/STD We are not currently providing visa sponsorship for this position

Job Description Pickle Robot is hiring a Senior Product Manager to own our Autonomy Platform — the perception, planning, and motion stack that powers every Pickle robot on every loading dock today, and that we're building into the foundation for truck loading and an industry autonomy platform for tomorrow. You'll be the PM for the brain of the robot. Your internal customers are the autonomy, perception, controls, and ML engineering teams. Your external customers are 3PLs, parcel carriers, and retailers who don't care how we did it — they care that the robot unloads their trailers reliably and safely, dock hour after dock hour. In this platform-focused capacity, your approach to reliability per dock-hour, simulation depth, development speed, and machine-learning failure scenarios will mirror the way traditional PMs evaluate user-facing features. You will be responsible for crafting actionable PRDs that serve as technical blueprints for engineering teams while rigorously upholding performance standards, specifically pick speeds, intervention rates, and recovery times. What You’ll Accomplish: Own the Autonomy Platform roadmap. From perception and grasp planning through motion control and exception handling — define what we build, what we don't, and in what order. Partner with engineering leadership to make tradeoffs between current customer reliability and future capability. Productize the autonomy stack. Pickle's autonomy isn't just code that runs the robot — it's the platform we believe will power our own truck-loading product and, in the longer term, serve as an autonomy layer for the broader industry. You'll help shape what that productization looks like. Treat simulation as a product. SIM is how we ship safely. Define how the simulation environment evolves to support faster iteration, broader scenario coverage, and pre-deployment validation that actually predicts field behavior. Reason about probabilistic systems. Every ML model in our stack has a failure mode. You'll define what "good enough to ship" looks like — failure modes, fallbacks, human-in-the-loop thresholds, intervention rates — and you'll defend those criteria against demo-driven optimism. Get out of the office. Pickle PMs go where things happen. You'll spend time at customer docks, with operators, watching real trailers get unloaded and real edge cases get caught. Who You Are: 5+ years of product management experience, with at least 2 years shipping products where ML, robotics, or other probabilistic systems were core to value — not adjacent to it. Comfortable with a hardware+software product. You understand that hardware iterations are slow and expensive, software iterations are fast, and ML behavior is neither, and you scope accordingly. Fluent with autonomy and ML engineering teams. You don't need to implement gradient descent yourself, but you can have a real conversation about perception failure modes, planning constraints, and model evaluation. Platform PM instincts. You've shipped internal platforms, SDKs, simulation environments, or developer tools — and you measure success in downstream team velocity and reliability, not feature count. Strong writer. PRDs, one-pagers, MRDs, release notes. We write things down at Pickle. Bias to action and to simplification. You ship; you don't over-architect; you push back when scope creeps. Comfortable with creative conflict. You disagree well, assume positive intent, and stay focused on the idea. Bonus: prior experience in robotics, logistics, supply chain, simulation tooling, or AV stacks. Location & Travel Based at our Charlestown, MA headquarters, in-office at least 3 days per week. Approximately 25% travel 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 PhaseV is a Boston-based technology company that redefines clinical development at scale with its enterprise-ready, multi-modal AI/ML platform — accelerating decisions, de-risking trials, and driving more efficient portfolio strategies. With over $65M raised from Accel, Insight, and others, we are poised to make a significant impact on how drugs are developed and brought to market. We are seeking a BiostatisticsResearch Consultant in the US. This role would have a dual mission of client-facing consulting and cutting-edge research in statistics, data science, causal inference, machine learning for modern clinical trial design and biopharmaceutical development. This position would report to Dr. Brad Carlin, head of Statistics at PhaseV. Primary job responsibilities will include: Consulting: • Be part of a team working on client-specific projects in trial design and data analysis, including development of code and client-facing interaction, • Support real-time clinical trial implementation as requested by clients or CROs less familiar with Bayesian and other modern statistical approaches, • Write and co-present final reports in both oral and written form Research: • Support the development of research papers for statistical, machine learning, and medical journals on modern methodological approaches relevant to the company's interests and computing platform development, as well as applied papers growing out of consulting projects or conference interactions, • Support submission and revision of these papers for publication in refereed journals, • Attend and give presentations about these research projects at national and international conferences and other meetings as requested Job requirements: • PhD in statistics, biostatistics, machine learning, or a related field, • Excellent written and verbal English communication skills, • Proven ability to work both independently and in a team environment, • Proven ability to prioritize and balance multiple tasks, • Broad knowledge of statistical modeling is required, including all standard methods in Bayesian hierarchical modeling and computing, methods for longitudinal and time-to-event data, propensity scoring and other standard tools for causal inference, and basic tools for sample size estimation, • Proficiency in either R or Python programming is required; proficiency in both is preferred; proficiency in SAS programming is a plus, • Experience in shell scripting, high performance computing, and cloud computing is preferred, • Knowledge of clinical trials and associated regulatory compliance issues is a plus, • Experience with leading and managing projects is preferred, • Qualified candidates must be legally authorized to be employed in the US, • Strong preference for candidates who can work on-site (in Cambridge, MA) 2 days per week., • Travel to the home office and some client meetings are expected; statistical and other conference travel to promote the team's research mission will also be supported. What We Offer: • Join us on a mission to change the world for the better., • The opportunity to work with an amazing team passionate about making a real-world impact., • Extremely hard and diverse problem setting, in which the team is pushing the envelope., • A collaborative and dynamic startup environment., • Professional growth and development opportunities., • Competitive compensation and equity participation, • Comprehensive benefits, 401(k) match, and flexible hybrid culture

Job DescriptionAbout this role: Pickle Robot is looking for a Robotic Operations Support Specialist to join our fast-growing team on a night/shoulder shift. You'll serve as frontline support for our robotic unload systems deployed in logistics warehouses across the U.S., ensuring they run smoothly during evening operations and customers are supported with confidence. This is a night/shoulder shift position based in Boston, MA, with hours likely 2 PM–10 PM or 4 PM–12 AM. This role sits at the intersection of engineering, product, and customer operations. You'll work with cross-functional teams—including Hardware & Software Engineering, Product Management, and Go-to-Market—to identify, resolve, and prevent field issues while feeding real-world insight back into the product development cycle. You'll be known to our customers as a trusted partner during critical operational hours and to our engineering team as "ground truth" from the field. If you're a fast learner, an independent thinker, and thrive in dynamic environments, this is your chance to make a significant impact.Responsibilities: • Initial Field Training: 2 weeks in HQ, 2 weeks in the field: Participate in on-site deployment operations and system commissioning to gain a deep understanding of our robotic truck unload platform, as well as our customer stakeholder landscape., • Remote Monitoring & Support (Night/Shoulder Shift): Track fleet performance using telemetry and logging dashboards during evening and overnight hours when warehouse operations are most active., • Identify and flag potential issues before they escalate during peak customer operational periods., • Real-Time Troubleshooting: Diagnose and resolve issues across software, electrical, and mechanical components, • Provide live support for customer stakeholders and internal teams during night/shoulder shift hours., • Cross-Team Communication: Manage support cases via phone, video, and written updates., • Log findings, resolution steps, and maintain clear follow-up loops with day shift teams., • Technical Investigations: Triage issues that span across disciplines and escalate effectively., • Guide field teams through on-site troubleshooting and retrofits., • Process Refinement: Identify and help close gaps in tooling, workflows, and documentation., • Hardware Maintenance: Perform scheduled and ad hoc maintenance on robotic arms, conveyors, and electrical components.Skills:, • 1–3 years working with robotic, automated systems, or industrial equipment in production or logistics environments., • Comfortable working night/shoulder shifts (2 PM–10 PM or 4 PM–12 AM schedule), • Experience in a customer-facing or technical support role is a plus, • Software: Familiar with CLI tools (e.g., ssh), interpreting logs, and system telemetry, • Electrical: Basic knowledge of industrial robotics, PLCs, sensors, wiring, and protocols, • Mechanical: Experience with electromechanical subsystems and field repair workflowsStrong communicator across both technical and non-technical stakeholders, • Capable of building trust with both customers and engineering teams, • Self-directed and comfortable working independently during non-standard hours Preferred Skills:, • Fluent in Spanish, • Familiarity with tools like Jira, Freshdesk, or related systems, • Interest in process improvement and documentation, • Calm under pressure; curious and proactive, • Adaptable in fast-paced environments, • Customer-first mindset, • Experience working night shifts or non-traditional hours, • Physically capable of lifting and moving up to 50 lbs., • Willingness to work in hot/cold and uncomfortable conditions (warehouses are often not climate-controlled)., • Valid driver's license and clean driving record. Location & Travel:, • Based in Boston, MA (Cambridge or Charlestown preferred), • Night/shoulder shift hours: likely 2 PM–10 PM or 4 PM–12 AM Willing and able to travel 10–20% of the time to customer locations across the U.S.Pay at PickleAt Pickle Robot Company, we believe transparency builds trust. The salary range listed here is provided in accordance with Massachusetts law and reflects what we reasonably and in good faith expect to offer for this role. We often consider candidates at different levels of seniority, and final compensation will reflect the level at which a candidate is hired, along with factors like experience and location. About Pickle RobotWant to get in on the ground floor of a fast-growing, VC-backed robotics company? Join Pickle Robot! We build systems that companies and their teams love. Pickle robots unload trucks. Every day, millions of trucks and containers are loaded and unloaded, often requiring manual labor—tough, dirty, dangerous, and hard to staff. Pickle automates this process using AI, machine learning, and robotics to deliver reliable products. Our Unload Systems work with teams on loading docks to make the job safer, faster, and more efficient. Pickle provides best-in-class benefits including health, dental, & vision insurance; unlimited vacation, along with all federal and state holidays; 401K contributions of 5% your salary, travel supplies, and other items to make your working life more fun, comfortable, and productive. 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 About the Team: The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security. We have a particular focus on airborne/surface/space-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. We work on full system prototypes, experiment campaigns, and next generation technology components. Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time embedded processor implementation. The Systems Autonomy, Analysis, and Modeling (SAAM) Group within the Sensors Division uses modeling and simulation (M&S) to analyze system capabilities, develop enabling algorithms, and take these integrated systems through test. We focus on the capabilities and limitations of ground, air, surface, and space sensing and counter-sensing platforms and the resource management of these assets to assure the survivability of US air and space assets. SAAM also leverages the emerging use of autonomy and Artificial Intelligence in uncrewed systems and techniques to collect, fuse, and understand sensor data across full systems of systems to assure mission success. SAAM is developing software and hardware tools and datasets to support these analyses, including algorithms, processing chains, and scenarios to inform and deploy onto both prototype demonstration systems & operational systems. Our main customer focus is on Air Force, Navy, and DARPA research programs. The Role: The SAAM group is seeking a Software Engineer to join high-performing teams transforming advanced concepts and algorithms into software implementations for prototypes and operational systems. You will work with scientists and engineers to design and implement algorithmic solutions to challenging national security problems. You will be responsible for enhancing the software architecture required to implement advanced algorithms in real-time hardware. You will also contribute to the development of engineer-facing tools and processes to facilitate long-term software development. What you will do: • Collaboration: work as part of a small, focused team to implement and test real-time applications featuring open architecture software principles, • System Development: leverage mature hardware systems and develop code to integrate them together, collaborating with SMEs across STR to leverage advanced algorithms where needed, • System Test: work closely with test leads in the SAAM group to leverage testing capabilities across M&S and live test, leveraging Live-Virtual-Constructive (LVC) infrastructure, • Customer Engagement: support and brief customers throughout the program lifecycle Who you are: • Self-motivated with demonstrated ability to excel under limited guidance, • Strong object-oriented programming skills in modern C++, • Proficient in test-driven development and CI/CD practices, • Experience with cross-platform development (Windows, Linux, iOS) and version control workflows, • Proficiency in MATLAB and/or Python, • BS with 2+ years experience or MS in Computer Science, Computer Engineering, Applied Mathematics, Electrical Engineering, or related field, • Ability to obtain and maintain a security clearance, for which U.S citizenship is needed by the U.S government Even Better: • Active Secret or Top Secret security clearance, • 2+ years of experience with open architecture systems such as OMS/UCI and A-GRA, • Experience with radar or EO/IR systems, • Familiarity with real-time algorithm optimization, especially for radar or remote sensing applications, • Experience with software quality tools (static/dynamic analysis, automated testing frameworks) Pay Information Full-Time Salary Range: $111,000 - $140,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description Mission Summary: We are seeking an experienced and visionary Principle Level Tech Lead Manager to build and lead our new Machine Learning (ML) Acceleration team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating ML model training. The ultimate goal is to drastically reduce the development cycle for new ML models and enable rapid hot-patching for issues within our deployed autonomous vehicle services. You will be a hands-on leader, blending deep technical expertise in ML systems and performance optimization with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvement. What you'll be doing: • Team Leadership & Management:, • Build, lead, and manage a high-performing team of ML and infra engineers focused on acceleration., • Provide technical guidance, mentorship, and career development opportunities to team members., • Foster a collaborative and inclusive team environment., • Define team goals, priorities, and roadmap in alignment with company objectives., • Technical Strategy & Execution:, • Define the technical vision and strategy for ML acceleration across the organization., • Identify and evaluate cutting-edge technologies and methodologies for speeding up ML training, including but not limited to data pipeline optimization, large scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques., • Design, develop, and implement scalable and efficient ML acceleration solutions., • Cross-functional Collaboration:, • Collaborate closely with ML research, ML Training platform, and product teams to understand their needs and integrate acceleration solutions seamlessly., • Communicate complex technical concepts and strategies to both technical and non-technical stakeholders., • Act as a technical expert and advocate for ML acceleration initiatives across the company., • Impact & Measurement:, • Regularly measure and report on the impact of acceleration efforts., • Continuously seek opportunities for further optimization and innovation. What we're looking for: • Experience:, • Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience, • 8+ years of experience in software engineering, with at least 5+ years focused on Machine Learning systems and model performance optimization., • 3+ years of experience in a technical lead or management role, with a proven track record of building and leading high-performing teams., • Extensive experience with large-scale ML model training and deployment, ideally in a production environment., • Strong understanding of distributed systems and cloud computing platforms (e.g., AWS, GCP, Azure)., • Technical Skills:, • Deep expertise in ML frameworks such as PyTorch or JAX., • Proficiency in performance profiling and optimization techniques for Deep Neural Networks., • Strong programming skills in Python; C++ experience is a plus., • Knowledge of MLOps principles and practices., • Leadership Skills:, • Exceptional leadership, communication, and interpersonal skills., • Ability to attract, hire, and retain top engineering talent., • Proven ability to drive complex technical projects from conception to completion., • Strong problem-solving skills and a proactive, results-oriented mindset., • Ability to thrive in a fast-paced, dynamic environment. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. 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$240,000—$330,000 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 www.Motional.com 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 Machine Learning Engineer – Computer Vision & Robotics Tycho.AI is redefining the future of autonomous intelligence. Spun out of MIT and backed by DoD contracts, we are building breakthrough AI and autonomy solutions for unmanned systems operating in GPS-denied and contested environments. We are a fast-growing, dual-use technology company at the forefront of national security and commercial innovation, with a mission to push the boundaries of what autonomous systems can achieve. Joining Tycho.AI means being part of a team shaping the next decade of autonomy from defense applications to commercial opportunities in areas like logistics, disaster response, and beyond. If you want to work at the cutting edge of AI/ML and robotics with a company that’s poised for major impact and growth, we want to hear from you. Responsibilities • Design, develop, and optimize ML models for computer vision and robotics tasks., • Build robust training and fine-tuning pipelines for large-scale datasets., • Integrate ML systems into real-world platforms, bridging research and production., • Write clean, efficient, and maintainable code across Python and/or C++., • Stay current on research and apply state-of-the-art techniques in autonomy and perception. Requirements • Bachelor’s or advanced degree in Computer Science, Engineering, or related field., • Hands-on experience applying ML to computer vision and/or robotics., • Proficiency with PyTorch or TensorFlow., • Strong coding skills in Python or C++ (ideally both)., • Experience deploying ML models and building training pipelines., • Familiarity with Git and collaborative software development practices. Nice to Have: • CUDA kernel development and model optimization (quantization, pruning, distillation)., • Experience with ONNX, TensorRT, or OpenVINO for deployment., • Robotics middleware (ROS2)., • SLAM, 3D perception, or sensor fusion (LiDAR, IMU)., • Real-time or low-latency inference pipelines. Why Tycho.AI • Be part of a rapidly scaling startup defining the future of autonomous intelligence., • Collaborate with top engineers and researchers from MIT, Google, and across the defense innovation ecosystem., • Direct impact on national security missions and dual-use commercial applications., • Along with a competitive salary and options, Tycho.AI offer a robust benefits package, including many options from medical insurance with 80% company contribution to pet insurance and a 401(k) retirement plan.

Job DescriptionAbout UsDeep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of RNA biology to identify novel drug targets, mechanisms, and therapeutics inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created. Opportunity The Senior/Principal Research Associate will join our Platform Biology team and will be a key player in driving our cutting-edge AI RNA therapeutics discovery platform. In this role, you will support novel target validation by utilizing a variety of genome engineering approaches in both pooled and arrayed formats. The ideal candidate will have strong gene editing, cell biology and molecular biology experience in an industrial setting. Prior experience with oligonucleotide therapeutics such as ADAR, ASO, and/or siRNAs is also highly beneficial. The successful candidate should demonstrate initiative and be able to thrive in a dynamic work environment with cross-functional teams working together to achieve company goals. *Title will be commensurate with prior experience. This position is onsite at our Cambridge, MA site. Key Responsibilities • Plan and execute genome engineering experiments to generate models for target validation., • Execute barcoded pooled screening assays, including NGS library preparation., • Support the development of novel biochemical, cellular and functional assays for our internal therapeutic pipeline., • Maintain and transfect a variety of mammalian cell lines, such as immortalized cell lines., • Perform standard molecular biology techniques (e.g. PCR, qPCR, molecular cloning, etc.)., • Collaborate with a cross-functional team in a dynamic, matrixed environment to achieve shared company deadlines., • Clearly document experiments, standard operating procedures (SOPs) and data in an electronic lab notebook (ELN)., • Communicate and present experimental design and findings with colleagues and project teams.Basic Qualifications, • Bachelor’s or Master’s in Biology, Molecular Biology, Genomics, Biochemistry or a related field with 2-4+ years of relevant pharmaceutical or biotechnology experience., • Gene editing experience in an industrial setting., • Strong understanding of molecular and cell biology., • Experience growing, maintaining and transfecting mammalian cell lines., • Experienced in design and execution of molecular and cellular assays., • Excellent communication, organizational skills and a willingness to learn., • Ability to work independently and manage priorities in a fast-paced technical environment.Preferred Qualifications, • Experience in lentivirus generation, cell line engineering, or flow cytometry is a plus., • Prior therapeutics development experience., • Past experience with RNA editing and/or RNA oligonucleotides., • Next-generation sequencing library preparation, e.g. amplicon sequencing., • Demonstrated experience working in cross-functional teams.What We Offer, • A collaborative and innovative environment at the frontier of computational biology, machine learning, and drug discovery., • Highly competitive compensation, including meaningful stock ownership., • Comprehensive benefits - including health, vision, and dental coverage for employees and families, employee and family assistance program., • Flexible work environment - including flexible hours, extended long weekends, holiday shutdown, unlimited personal days., • Maternity and parental leave top-up coverage, as well as new parent paid time off., • Focus on learning and growth for all employees - learning and development budget & lunch and learns., • Facilities located in the heart of Toronto - the epicenter of machine learning and AI research and development, and in Kendall Square, Cambridge, Mass. - a global center of biotechnology and life sciences.Deep Genomics encourages applications from all backgrounds who seek the opportunity to build the world's leading AI-driven genetic medicine company. If you have a disability or special need, accommodation is available on request for candidates taking part in all aspects of the selection process. *This posting reflects a current vacancy. We offer competitive compensation aligned with local market benchmarks. The salary range for this role is $90,000 - $110,000, and reflects Cambridge, USA-based roles; compensation may differ for Canada-based candidates. 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 About the Team: The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security. We have a particular focus on airborne/surface/space-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. We work on full system prototypes, experiment campaigns, and next generation technology components. Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time embedded processor implementation. The Systems Autonomy, Analysis, and Modeling (SAAM) Group within the Sensors Division uses modeling and simulation (M&S) to analyze system capabilities, develop enabling algorithms, and take these integrated systems through test. We focus on the capabilities and limitations of ground, air, surface, and space sensing and counter-sensing platforms and the resource management of these assets to assure the survivability of US air and space assets. SAAM also leverages the emerging use of autonomy and Artificial Intelligence in uncrewed systems and techniques to collect, fuse, and understand sensor data across full systems of systems to assure mission success. SAAM is developing software and hardware tools and datasets to support these analyses, including algorithms, processing chains, and scenarios to inform and deploy onto both prototype demonstration systems & operational systems. Our main customer focus is on Air Force, Navy, and DARPA research programs. The Role: The SAAM group is seeking a Senior Software Engineer to join high-performing teams transforming advanced concepts and algorithms into software implementations for prototypes and operational systems. You will work with scientists and engineers to design and implement algorithmic solutions to challenging national security problems. You will be responsible for enhancing the software architecture required to implement advanced algorithms in real-time hardware. You will also contribute to the development of engineer-facing tools and processes to facilitate long-term software development. What you will do: • Collaboration: work as part of a small, focused team to implement and test real-time applications featuring open architecture software principles, • System Development: leverage mature hardware systems and develop code to integrate them together, collaborating with SMEs across STR to leverage advanced algorithms where needed, • System Test: work closely with test leads in the SAAM group to leverage testing capabilities across M&S and live test, leveraging Live-Virtual-Constructive (LVC) infrastructure, • Customer Engagement: support and brief customers throughout the program lifecycle Who you are: • Self-motivated with demonstrated ability to excel under limited guidance, • Strong object-oriented programming skills in modern C++, • Proficient in test-driven development and CI/CD practices, • Experience with cross-platform development (Windows, Linux, iOS) and version control workflows, • Proficiency in MATLAB and/or Python, • BS with 5+ years experience or MS with 3+ years experience in Computer Science, Computer Engineering, Applied Mathematics, Electrical Engineering, or related field, • Ability to obtain a security clearance, for which U.S. citizenship is needed by U.S. Government. Even Better: • Active Secret or Top Secret security clearance, • 2+ years of experience with open architecture systems such as OMS/UCI and A-GRA, • Experience with radar or EO/IR systems, • Familiarity with real-time algorithm optimization, especially for radar or remote sensing applications, • Experience with software quality tools (static/dynamic analysis, automated testing frameworks) Pay Information Full-Time Salary Range: $139,000 - $180,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

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 klaviyo.com/careers to see how we empower creators to own their own destiny. Senior Software Engineer - Agent Platform At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We've built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We have a big opportunity to build state-of-the-art AI and machine learning technologies at Klaviyo to power our products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business. As a Senior Software Engineer, Agent Platform, you'll play a key role in designing and scaling the backend systems that power our AI products and agent solutions. This backend-heavy role gives you opportunities to influence architecture, async processing, and distributed systems. You'll collaborate closely with product managers, ML engineers, and data scientists to deliver real-world impact at scale. This role is hybrid and based in Boston. How you'll make a difference: • Design and build backend systems to scale AI solutions for 167K+ customers., • Contribute to our agentic architecture to support performant AI agents., • Build tools to tune LLM-based features, deploy agents, MCP and RAG in production, and evaluate performance using tools like Arize, OpenAI, Bedrock, LangChain, vLLM and Ray., • Develop reliable, scalable data pipelines and APIs for AI systems., • Foster a culture of ownership, experimentation, and customer-first thinking. Who You Are: We encourage candidates to apply even if they do not meet all the qualifications listed. AI Ops is a rapidly evolving space and we are all constantly learning! • 5+ years of experience as a backend software engineer, building scalable, distributed systems., • Strong experience working in production environments and launching ML/AI projects., • Hands-on experience with generative AI and agentic AI applications in production., • Proficient in Python (or similar)., • Comfortable collaborating with cross-functional technical partners., • Curious, proactive, and eager to learn. Nice to Have: • Experience with big data tools (e.g., Apache Spark, Ray)., • Familiarity with cloud infrastructure (AWS, Terraform, Kubernetes)., • Knowledge of ML frameworks (Huggingface, PyTorch, TensorFlow, Keras). 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:$148,000—$222,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. 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 Why AeroShield might be great for you AeroShield is a collaborative team of 25+ people bound by a mission to deliver innovative new materials to make our lives more sustainable. A lot of energy is wasted by poor building insulation, especially poorly insulated windows and we want to change that. We are developing super-insulating, transparent inserts for windows based on aerogels, bringing state-of-the-art thermal comfort and energy efficiency into buildings at an affordable price. You'll become part of a growing team where everyone is familiar, collaborating closely to tackle impactful challenges. In this environment, you'll be surrounded by talented individuals who excel in their roles and are supportive team players. Our goal is to ensure that our super-insulating silica aerogel, the first truly transparent aerogel, is widely adopted to enable affordable, high-performance windows. What we are looking for in a Product Development Technician We're in search of someone who enjoys the autonomy offered by a dynamic small startup environment and takes initiative to find new learning opportunities. This person should be highly organized and detail oriented, have a passion for learning new skills and processes, and be able to work collaboratively with others. We highly value a positive team culture and are looking for someone who wants to be part of continuously enhancing this culture - ideally playing an active role in this as the company grows. This person should embody AeroShield’s values of Understand & Improve, Value People and Persons, and Act Sustainably. The Product Development Technician will assist the product development team in the fabrication, assembly, and inspection of aerogel-integrated products and their machinery as well as maintaining and documenting production processes. As the ideal candidate you have experience working in a hands-on setting and have an unwavering commitment to safety. You thrive in fast-paced environments where the results of your work play an important role in advancing new technologies to market. • Manufacturing & Operations: Perform manufacturing activities, including assembling novel aerogel-integrated Insulated Glass Units (IGUs) and operating pilot manufacturing equipment., • Quality & Yield Tracking: Track production yield and identify where issues or defects originate, documenting results using AeroShield standard practices and collaborating with the team to implement solutions., • Shipping, Receiving & Inspection: Manage shipping and receiving operations, which includes preparing IGU shipments, weighing/measuring packages, booking pick-ups (e.g., FedEx), and performing rigorous inspections of all incoming materials and outgoing goods., • Engineering Collaboration: Partner with the engineering team to build, assemble, and test novel in-house designed machines, actively engaging in problem-solving and brainstorming to develop new solutions for technician-adjacent work., • Machine Shop Ownership & Maintenance: Take full ownership of the machine shop and inventory management by maintaining cleanliness, organizing production supplies, recommending tool purchases, and performing routine maintenance on lab and pilot plant equipment. This role requires candidates to be on-site 5 days a week at our facility in Waltham, MA. Qualifications Many great team members do not fit a “standard blueprint”. Even if you do not fit all aspects listed below, but feel that you can contribute to AeroShield’s team, please do not hesitate to apply or to reach out with questions. Great candidates for this role enjoy learning quickly, are excited about new technologies, and possess a technical background through school or work experience. • High school diploma required. Associate degree or higher is a plus, ideally in a tech-related field., • Hands-on experience in manufacturing, assembly, machine shop, lab, or R&D environments., • Experience managing shipping, receiving, and packaging operations., • Ability to accurately interpret technical drawings, schematics, and engineering ideas., • Ability to pay close attention to detail, focusing on accuracy and quality., • Strong interpersonal skills including the ability to listen, distill information, consult, and suggest new approaches., • Quick learner and creative problem-solver able to learn quickly by leveraging all possible resources., • Self-starter who thrives in a dynamic environment and takes full ownership of their workspace., • Highly organized and works well in teams., • Passionate about AeroShield values. Bonus skills: • Experience working hands-on with machinery such as pumps, compressors, and pressure vessels (training provided)., • Experience with glass, laminate, or Insulated Glass Unit (IGU)-type materials., • Familiarity with data collection, data entry and data reporting, particularly in software like Microsoft Excel and ClickUp., • Able to perform wet-lab chemical experiments, including working in fume hoods. How to Apply Please submit your resume via our career portal at: https://careers.jobscore.com/careers/aeroshieldmaterialsinc Additionally, you can optionally include a few sentences or paragraphs about why you are interested in this role and why it looks like a good fit for you in the cover letter section of the application. This does not need to be a formal cover letter, we just want to see what excites you about working at AeroShield! About AeroShield AeroShield manufactures a super-insulating nanoporous form of glass for energy efficient windows. Based on silica aerogel technology, AeroShield is more transparent than glass and twice as insulating as air, enabling windows that are 50% more energy efficient and cost-effective, with the potential to save billions of dollars in energy. See www.aeroshield.tech and for more details.

Job DescriptionAbout Motional: Motional is a public transit and autonomous vehicle pioneer, developing Level 4 driverless vehicles that are changing the way the world moves. At the heart of our mission is the Autonomy organization, where we solve some of the most complex engineering and artificial intelligence challenges of our generation. Mission Summary: Motional is seeking a visionary, technically deep Director of Behaviors to lead our machine learning-based Prediction and Planning teams. In this role, you will sit at the intersection of intent forecasting and ego-vehicle decision-making. You will be directly responsible for leading multiple engineering sub-teams, setting the technical roadmap for our next-generation behavior stack, and pioneering the shift toward state-of-the-art end-to-end models that execute joint prediction and planning. As a senior leader in the Autonomy organization, you will not only drive technical breakthroughs but will also scale and nurture a world-class AI organization in a sustainable, inclusive, and highly collaborative fashion. Core Responsibilities: • Strategic Leadership: Oversee and unify the machine learning-based Prediction and Motion Planning teams. Establish a clear, aggressive, yet sustainable technical roadmap that transitions our stack towards a unified (fully learnt) Large Driving Model performing joint prediction and planning., • Technical Direction: Stay at the absolute frontier of AI research and define the technical roadmap for developing state-of-the-art imitation learning (IL) and reinforcement learning (RL) approaches to advance end-to-end learnt planning. Guide the team in exploring and incorporating modern paradigms like Vision-Language-Action models (VLAs) to improve the vehicle's semantic understanding, reasoning, and zero-shot generalization capabilities in complex urban environments., • Organizational Growth: Lead, mentor, and scale multiple sub-teams of machine learning engineers and researchers. Implement sustainable engineering practices that prevent burnout, promote psychological safety, and ensure high technical velocity., • Publish: As part of this role, you will also be expected to publish stellar work in conferences like CVPR, ICCV, ECCV and Neurips., • Cross-Functional Collaboration: Partner closely with Perception, Infrastructure and Systems Engineering to ensure the Large Driving Model seamlessly integrates onto the vehicle platform and meets rigorous safety and real-time performance standards. Required Qualifications & Experience: • Proven Leadership: 5+ years of experience managing high-performing engineering teams, with at least 3+ years of experience managing multiple sub-teams within an autonomous systems, robotics, or advanced AI organization., • Sustainable Scaling: Demonstrated track record of growing an engineering organization sustainably—balancing technical debt, architectural scalability, and team well-being., • ML Behavior Expertise: Deep theoretical and practical proficiency in machine learning applied to robotics behaviors. Advanced expertise in Imitation Learning and Reinforcement Learning for decision-making. Strong understanding of the full lifecycle from research to vehicle deployment., • Unified Architectures: Proven experience guiding teams toward building integrated models (e.g., trajectory forecasting joint with ego-policy generation) rather than decoupled, sequential pipelines., • Modern AI Paradigms: Strong familiarity with multimodal foundational AI models, specifically Vision-Language-Action models (VLAs)., • Educational Background: M.S. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related quantitative field with a heavy focus on Machine Learning. Preferred Qualifications: • Experience building and scaling up LLMs/VLMs/VLAs and successfully deploying to production., • A strong footprint in the AI/robotics research community (CVPR, ICCV, NeurIPS, ICRA, IROS publications)., • Experience building large-scale data pipelines and training infrastructure required to train large driving models. We encourage a hybrid schedule with in-office time at one of our locations in Boston or Pittsburgh to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. 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$288,000—$396,000 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 www.Motional.com 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 Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are looking for highly experienced and strategic leader to drive Commercial Data and Analytics initiatives. RESPONSIBILITIES: • Data Analytics & Strategy: Lead the application of the latest data science techniques and advanced analytics approaches to solve complex business problems in the Pharma and Life Science domain., • Stakeholder & Solution Design: Work directly with client stakeholders to translate high-level business problems into detailed, high-level analytics solution designs., • Leadership & Execution: Lead strategic efforts in omni-channel analytics, helping the business optimize its marketing, sales, and digital engagements across various touch points in the commercial pharmaceutical sector., • Business Intelligence (BI) & Analytics: Lead the design and delivery of advanced analytical and Business Intelligence (BI) products, focusing on metrics design, reporting, and leveraging data best practices to drive informative decisions., • Data Management & Engineering (DE): Oversee and guide data architectures, ensuring a strong emphasis on data quality, data integrity, and compliance with commercial data management frameworks., • Commercial Expertise: Apply extensive experience in core commercial pharma areas such as omni-channel strategy, customer journey mapping, and marketing effectiveness., • Client Engagement: Serve as a key analytics consulting leader, working closely with senior client stakeholders to understand business requirements, design solutions, and drive cross-functional collaboration. Requirements • 12-16 years of professional work experience with at least 8 years in data analytics, • Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach, • Solid understanding of statistical and machine learning algorithms, • Strong project management and team management skills and ability to work with global teams., • Fluency and extensive working experience with various pharmaceutical data sources, including: Claims and Prescriber data (e.g., IQVIA Xponent, Plantrak, LAAD, PE), Execution data (e.g., Veeva CRM), Real-World Data (RWD) sources such as TriNetX, Flatiron, Optum, and Komodo. Specialty Pharmacy data and Payer Formulary (MMIT) data., • Graduate in Business Analytics or MBA or equivalent work experience Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description Mission Summary: Motional's onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional's next-generation on-board autonomous driving system. As part of this team, the High Performance Compute Platform team is responsible for Motional's current and next-generation onboard autonomous driving system. If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you. We are hiring in a range of levels, from graduate engineers to Staff engineers. What You'll Be Doing: • Design and develop infrastructure software on various hardware platforms for applications such as vision processing, radar systems, safety monitoring, etc., to be run on self-driving vehicles., • Design test harnesses for embedded software components and full systems, • Provide technical mentorship to engineers., • Proactively work with cross-functional engineering teams to solve complex and interesting problems. What We're Looking For: • Experience with creating detailed requirements from use cases., • Ability to lead a technical initiative, including breaking down work and guiding other engineers through execution., • Experience writing software for embedded platforms in C and C++., • Experience with Test-Driven Development (TDD)., • Experience working on embedded Linux / RTOSs., • Experience working with networks (Ethernet, CAN etc.) and the common networking protocols., • Experience with debugging on embedded platforms., • Experience writing software in Python and experience doing automation with shell scripting., • Experience working with ARM Cortex MCUs or Microprocessors. Bonus Points (not required): • Experience working with large data pipelines, and platforms that require deterministic execution., • Experience using inter-system communication protocols such as I2C and SPI, • Experience deploying Machine Learning models., • Experience working with GPUs., • Experience working directly with the Linux kernel or Device Drivers., • Experience with Simulation and Code Generation, and knowing when their use is appropriate., • Experience working with Bazel., • Experience integrating various sensors, including Cameras, IMUs, Radars, LIDARs., • Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks. We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. 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$149,000—$198,500 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 www.Motional.com 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 Steer offers a suite of software tools for today's automotive repair shop. We combine a mix of software tools that a repair shop needs to run a highly profitable shop, in one user-friendly, cost-effective platform. Through the Steer suite, we allow the shop owner to get back to focusing on what matters, and to stop worrying about marketing and customer retention. Steer began as an online directory for drivers to find a local mechanic. Fast forward to today, Steer has launched a complete Customer Relationship Management (CRM) marketing suite, complete with text messaging, email automation, direct mail integration, reputation management, appointment reminders, declined/recommended services, and many other features. We are always innovating and we are proud to be a leader in the automotive repair industry. In August 2024 Steer acquired AutoOps - the leader in modern, intelligent, and fully integrated scheduling software for auto repair shops. AutoOps allows customers to smoothly schedule through a shop's website and Google Business Profile. About the Role We're growing our world-class engineering team to usher our CRM platform into the next generation of software — and we're looking for a visionary Principal Full Stack Engineer to join our Core Platform Team Most Lead roles at "Big Tech" companies involve maintaining a single microservice or acting as a small cog in a 100-person machine. At Steer, you aren't just a contributor; you are the architect of a platform aiming for 100% market dominance. This is a high-impact role for someone who doesn't just write great code, but who can see around corners, challenge conventions, and lead entire products from vision to launch. We are actively refactoring our existing teams to be agentic-first — meaning our engineers don't just use AI as a tool, they architect systems around autonomous, AI-driven workflows. This is not a future initiative; it is how we build today. Why Steer? • True Ownership: You will lead massive products from start to finish within lean, high-velocity teams., • Hyper-Growth & Vision: We are currently at a fraction of our total addressable market in the automotive industry. The potential for scale is massive, and you will be a leading developer shaping this space, • Freedom to Innovate: You don't need side projects to explore new techniques. We provide the autonomy and the platform to experiment with and implement the latest tech directly into our core product., • AI-First & Agentic Culture: We are refactoring our teams to be agentic-first. We prioritize high-level problem-solving and AI/LLM expertise, and we actively encourage the use of AI tools to accelerate coding across any language and to power autonomous production workflows. What You'll Do • Technical Strategy & Ownership: Focus on the core components of the Steer CRM, specifically optimizing how we ingest and process data to revolutionize our automation tools., • Architectural Vision: Lead the design of reusable full-stack components and services that ensure our platform remains performant as we scale toward market dominance., • Adaptive Development: Pivot at a moment's notice based on evolving business needs, shifting focus between new integrations and core infrastructure to keep our ecosystem seamless., • Customer-Centric Engineering: Partner closely with Product to understand user pain points, ensuring every architectural decision adds tangible value to the auto repair shops we serve., • Code Excellence: Champion best practices in security, test automation, and maintainability. Conduct deep-dive code reviews that elevate the entire engineering organization., • Modern DevOps & Agentic Infrastructure: Influence our CI/CD pipelines, containerization (Docker, Kubernetes), and IaC practices. Design and maintain AI-integrated, agentic-ready infrastructure that enables autonomous workflows. What You Have Must Have: • 7+ years of professional experience building complex, web-based SaaS products., • AI & LLM Integration: Hands-on experience working with LLMs and prompt engineering. You use AI to bridge gaps and accelerate development., • AI in Production: Proven experience deploying AI-powered features and autonomous (agentic) workflows in production-grade infrastructure., • AI-Driven CI/CD: Hands-on experience integrating AI tooling into CI/CD pipelines (e.g., automated code review agents, AI-assisted testing, or agentic workflow orchestration)., • Database Expertise: Proficiency with both relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases, including schema design and query optimization., • The "Owner" Mindset: A track record of taking full accountability for projects and a passion for solving "impossible" problems in fast-paced environments., • Exceptional Communication: The ability to translate complex technical concepts into product outcomes and collaborate effectively with leadership. Nice to Have: • Familiarity with our current stack: .NET, Node.js (TypeScript), and React., • Experience with Infrastructure as Code (Terraform, CloudFormation)., • Previous experience as a founding engineer or in an early-stage startup environment., • Experience building or integrating with Claude marketplace plugins (Anthropic ecosystem), including prompt chaining, tool use, or MCP integrations. Interview Process • Initial Screen — 30 min with Lead Recruiter, • Hiring Manager Interview — 60 min with the Head of Engineering & Product, • Technical Interview — 60 min with a Principal Engineer, • Collaborative Interview — 30 min with Technical Product Manager What We Offer • Equity Options: Own a piece of the company's success., • 100% Remote: Work from anywhere in the US., • 100% Employer-Paid Medical Insurance., • Flexible PTO: With a 15-day minimum., • FSA, HSA, and 401k options., • Learning Stipend & WFH Equipment: Everything you need for a world-class home office., • Innovative Culture: A seat at the table to influence the latest AI technology in a collaborative, agentic-first environment. Why Join Steer? At Steer, we align our mission of transforming the auto repair experience for shop owners and their customers with your passion for growth, innovation, and excellence. Here, you'll find opportunities to expand your skills, take on career-shaping challenges, and contribute to the future of the auto repair industry, all while enjoying comprehensive benefits and flexible work arrangements to support your well-being. Join Steer to be part of a forward-thinking, flexible, and collaborative culture where you are empowered to do meaningful and impactful work. We value diversity and believe that forming teams in which everyone can be their authentic self is key to our success. We welcome applications from those with diverse backgrounds and industries. Our hiring process looks beyond just credentials. The school you went to at 18 doesn't define your potential to thrive and enrich our culture. Even if you don't meet every requirement, we invite you to apply.

Job Description Tagup is a defense technology company founded at MIT that is delivering logistics decision advantage with next-generation AI. We’re growing rapidly and are looking for change-makers passionate about delivering innovative technologies to solve the most challenging problems in the world’s highest stakes environments. This is an exciting opportunity to engage in meaningful work that strengthens national security and contributes to the success of U.S. and allied forces. Join us in shaping the future of defense logistics for a safer tomorrow. We’re hiring a Product Manager to help drive the execution and adoption of Manifest, Tagup’s mission-critical platform for defense logistics. In this role, you will work closely with product leadership, engineering, design, customers, and company leadership to translate complex operational needs into clear product requirements, ship high-impact capabilities, and ensure our software becomes indispensable to the operators and decision-makers who rely on it. This role is ideal for a high-ownership product builder who is comfortable with ambiguity, technically fluent enough to partner deeply with engineers, and energized by spending time with customers in operational environments.Responsibilities • Partner with product leadership and cross-functional stakeholders to translate product strategy into a clear, sequenced roadmap for Manifest, with a focus on measurable customer outcomes in readiness, efficiency, and resilience., • Own product discovery and delivery for specific product areas, from problem definition through requirements, launch, iteration, and adoption., • Spend time with operators, planners, maintainers, and decision-makers to understand workflows, pain points, constraints, and mission needs., • Convert customer and operational insights into crisp product requirements, user stories, acceptance criteria, workflows, and delivery plans., • Work closely with engineering to scope, prioritize, and ship mission-critical software in a high-tempo environment., • Support the delivery of AI-enabled workflows by helping define user expectations, evaluation criteria, edge cases, and success metrics., • Collaborate with customer-facing teams to support pilots, deployments, training, feedback loops, and adoption., • Track product usage, customer feedback, operational impact, and delivery progress to inform prioritization and continuous improvement., • Communicate clearly across audiences, including operators, executives, engineers, and technical stakeholders., • Bring urgency, discipline, and attention to detail to product execution in environments where reliability and trust matter.Requirements, • 3+ years of product management, product operations, technical program management, or related experience building and shipping software products., • Experience working on enterprise, data-intensive, operational, or mission-critical software., • Strong product instincts for breaking down ambiguous problems, identifying user needs, sequencing delivery, and balancing customer outcomes with engineering constraints., • Technical fluency: you can reason credibly with engineers about data systems, APIs, integrations, workflows, tradeoffs, and system behavior., • Excellent written and verbal communication, with the ability to turn complex information into clear requirements, decisions, and narratives., • Demonstrated ability to work cross-functionally with engineering, design, customer success, sales, leadership, and external stakeholders., • Comfort operating in a fast-moving, high-ownership environment with shifting priorities and incomplete information., • Willingness to engage directly with military or government customers and travel as needed., • Authorized to work for any employer in the U.S.; Tagup is unable to sponsor visas at this time.Preferred Qualifications, • Experience delivering software to DoD, IC, DHS, allied defense organizations, government agencies, or other highly regulated customers., • Familiarity with logistics, maintenance, supply chain, readiness, fleet operations, or operational planning workflows., • Experience with AI, machine learning, optimization, decision-support tools, or data products., • Experience supporting products deployed in constrained, edge, disconnected, denied, degraded, or intermittent environments., • Prior military service, government service, or defense contractor experience., • Experience working with forward-deployed engineering, field teams, or customer implementation teams., • Eligibility to obtain a U.S. security clearance.We align compensation with your experience and impact, and we aim to attract and retain top engineering talent. In addition to salary, every team member receives meaningful equity through our Employee Stock Option Plan. We also offer comprehensive health insurance, access to a 401(k) plan, and a team-oriented culture with regular company outings.If you want to build products that matter, this is a rare opportunity to work on software where the mission is real, the technical depth is non-trivial, and the work is already deployed in environments where better decisions can have immediate impact. Tagup is an equal opportunity employer and individuals seeking employment with us are considered without regard to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law. Citizenship: Due to the nature of our work with the U.S. Department of Defense, applicants must be authorized to work for any employer in the U.S. We are unable to sponsor visas at this time. 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 Motional's global headquarters are located at 100 Northern Avenue in Boston, MA. Nestled in the bustling Seaport district with sweeping views of Boston Harbor and downtown Boston, the office is located close to major transit lines and a quick walk to various restaurants and popular attractions. Mission Summary: Motional's CORE team is responsible for our vehicle's Compute and Onboard Runtime Environment. We are creating a world leading AI compute platform for autonomous vehicles. This is the system that executes the software and neural networks that make our vehicles autonomous. The Next-Gen Technologies team is part of CORE. We work at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional's on-board vehicle architecture. If you are a software engineer and love the idea of working on embedded AI hardware and software systems to create the next generation of autonomous vehicles, we would love to talk with you. What You'll Be Doing: As a senior engineer in the Next-Gen Technologies team, you will help us improve the compute performance of our current generation and next-generation autonomous driving systems through participating in full lifecycle development from idea to proofs-of-concept to production. Specifically, you will: • Focus deeply on ML model deployment, integration of multiple ML models, and ML model optimization on embedded compute platforms., • Dive deep into the full ML software stack. Analyze ML workload performance on a variety of hardware processors, optimize ML models, improve ML software, and help us continually improve our stack through the application of efficient and effective ML approaches., • Design, develop, test, integrate, and optimize software and tools on a variety of ML compute architectures., • Collaborate with deep learning experts in perception, prediction, and other autonomous driving application areas to enable algorithms on GPU, NPU, and other ML accelerator architectures., • Optimize the utilization of GPU/NPU resources and sharing of GPU/NPU access across multiple programs running on the same system., • Lead designs to determine the needs of the system and how to best meet those needs through continually improving our ML software stack., • Advise peers and management on technical matters. What We're Looking For: • Experience with machine learning accelerators, including GPUs, NPUs, TPUs, and their programming environments, including CUDA, TensorRT, or similar technologies., • Strong experience with modern C++ development in a Linux environment., • Experience with parallel and high-performance computing., • Comfortable with experimentation and evaluating different options as we work towards finding solutions that work., • A degree in Software Engineering, Computer Science, Electrical or Electronic Engineering, or similar technical field of study, or you have equivalent knowledge gained through your practical experience. Preferred, but not required: • Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks., • Experience with embedded systems development for ARM-based system-on-chip architectures., • Experience working in a MLOps or DevOps environment., • Passion for self-driving technology and its potential for positive impact on the world. This role is hybrid from our Boston office. It requires two in-office days each week, ideally Tuesday and Thursday. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. 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 www.Motional.com 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 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 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 www.shield.ai. 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 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)., • 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., • Experience with UCI and OMS Standards#LI-ED1#LE Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### 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 Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are seeking a Manager/Senior Manager with a strong Life Sciences background and hands-on commercial analytics experience to launch a Kidney Commercial Data Product to support an upcoming pharma launch. This role will lead a small, dedicated pod to design and build a Snowflake-native, Power BI–aligned data product from the ground up. The position gives an opportunity to focus on data product ownership, metric design, and stakeholder alignment. Key Responsibilities • Partner with Life Sciences stakeholders to understand business requirements and translate them into analytical solutions, • Own the end-to-end commercial data product for a kidney launch, from vision to execution., • Translate launch strategy into segmentation frameworks, KPIs, and data products used by commercial leadership., • Drive stakeholder alignment across Marketing, Sales, Market Access, and Analytics, • Own and prioritize the product backlog, ensuring alignment with launch milestones. Partner with the engineering team to design Snowflake-native data models optimized for scalability and reuse., • Ensure strong Power BI semantic model understanding (measures, relationships, performance)., • Enable self-service analytics through well-designed datasets—not dashboards alone., • Establish KPI governance, adoption tracking, and success metrics for the product., • Lead a small cross-functional pod (data engineers, analysts)., • Operate in an agile delivery model with clear sprint outcomes and executive visibility., • Act as the primary interface between business stakeholders and the technical team. Requirements • 10+ years in commercial analytics, data product management, or analytics consulting within pharma/life sciences., • Strong experience with pharma launches, including segmentation, performance tracking, and KPI design., • Hands-on understanding of Snowflake (data modeling, performance considerations)., • Strong Power BI semantic layer knowledge along with visualization, • Proven experience owning product backlogs and driving roadmap execution., • Ability to operate independently in greenfield / build-from-scratch environments. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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 klaviyo.com/careers to see how we empower creators to own their own destiny. About the Role Our team is looking for a Senior Full Stack Engineer to lead key initiatives that will enhance our product offerings and support our company's growth. In this role, you'll play a crucial part in shaping outcomes by developing innovative end-to-end solutions using both front-end and back-end technologies. You'll optimize existing products and create new solutions that redefine what's possible for our customers. As a Senior Engineer, you'll tackle complex challenges, develop multiple solutions, and evaluate business and technical trade-offs to determine the best path forward. You'll also act as a leader and mentor, and drive key technology decisions. Additionally, you'll be responsible for deploying well-designed, thoroughly tested solutions that ensure reliability and performance. The Customer Agent team drives Klaviyo's most ambitious innovations—creating and scaling the company's boldest new bets. As a nimble group with a flat structure and fast-moving culture, we prioritize simplicity, speed, and impact. Every team member is expected to take radical ownership—rolling up their sleeves, collaborating across disciplines, and pushing beyond traditional role boundaries to make things happen. Success in this role means delivering exceptional work that sets the standard for velocity and results company-wide, while helping shape Klaviyo's future through experimentation, creativity, and executional excellence. What We're Looking For • A proven track record of building high-quality products and systems, with pride in writing clean, high-quality code., • 7+ years of experience in a software engineering role., • Strong experience developing end-to-end software solutions or extensive experience with both front-end and back-end technologies., • Experience leading projects and being accountable for their outcomes., • Experience mentoring team members or driving initiatives that help the team learn new skills., • Experience conducting code reviews and running a robust testing cycle., • Experience working in agile, fast-paced environments., • 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., • Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up. Nice to Have • Skills with Python and related technologies, • Skills with React and related technologies, • Experience developing digital marketing or customer data software solutions., • Experience with machine learning., • Experience building cloud-native solutions, ideally with AWS. 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 #indeedRD 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:$148,000—$222,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. 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 DescriptionPosition Summary Senior Director/Director Precision Oncology will be responsible for leading a dynamic Precision Oncology team to apply Aitia’s powerful Causal AI platform to oncology drug discovery and clinical development. This role will manage and support a team of cross-functional scientists in the identification and preparation of large biological data sets, the application of our causal analysis platform, and the interpretation and communication of findings and insights. The candidate will work closely with external partners to deliver novel insights that impact their decision-making and support Aitia’s internal research efforts in oncology. The Head of Precision Oncology will act as PI, providing technical and managerial oversight of all oncology-related projects with a specific focus on interpreting the biological and clinical findings in the context of precision oncology. Responsibilities • Manage and develop a team of direct reports responsible for start-to-finish development, implementation, and interpretation of oncology-related in silico patient models and applications., • Oversee and provide hands-on support as needed in the evaluation and preparation of multi-omic datasets, statistical analyses, interpretation, and validation., • Support and participate in face-to-face presentations to current and prospective partners and collaborators, • Provide support to the Business Development group by contributing to proposal development discussions and writing.Qualifications and Skills, • PhD with experience in oncology research, including developing computational or statistical modeling and interpreting data focused on precision medicine, target identification, biomarker discovery, and patient stratification, 7-10 years of experience., • Demonstrated aptitude for connecting computational results to biological or drug development insights, • Biopharma or CRO experience in applying precision medicine approaches to drug development or translational science is strongly preferred., • Experience managing and leading technical teams, • Deep understanding of biological data and hands-on experience with a variety of omics data sets, including single-cell RNA-seq data, • Knowledge of standard bioinformatics pipelines, data processing, statistical modeling, and machine learning techniques., • An ability to manage and deliver on multiple projects simultaneously, • Proficiency in at least one statistical programming or numerical computing language, • Strong written and verbal communication; a clear ability to communicate technical material to non-technical audiences simply and clearly, • Experience working with advanced ML techniques, probability theory, Bayesian analysis, or causal inference methods is a plus, • Experience working in an interdisciplinary environment is a plus, • Passion to learn new things and solve problemsSalary Range is 180,000-240,000 per year Powered by JazzHR rTIb5gjXJ0

Job Description Company Overview We are the only AI-native biotech, pioneering small and large molecule therapeutics discovery by integrating massive multimodal data, frontier AI models, and high-throughput lab automation into an infrastructure for AI-enabled drug discovery. We hire top 1% talent to join our interdisciplinary team of scientists, engineers, researchers, operators, innovators, drug developers, business professionals, and technologists. Join us to build the world's first AI infrastructure for tech-enabled drug discovery and to deliver a pipeline of diverse drug modalities for all major disease areas. Computation is revolutionizing drug discovery. Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs. At 1910 , we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, data science, and software engineering to develop drugs for previously undruggable targets. Role Description • Own computational chemistry programs across therapeutic modalities, disease targets, and indications, • Ensure effective collaboration with the Biology and Medicinal Chemistry teams by providing key computational chemistry insights to aid in the Hit-to-Lead and Lead Optimization phases of drug discovery operations, • Ensure effective collaboration with the ML Engineering and AI Research team by providing key computational chemistry insights to aid in the development of AI/ML models for drug discovery as well as the incorporation of those models into drug discovery operations, • Teach key computational chemistry principles to your cross-disciplinary colleagues from Medicinal Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology, • Partner to improve 1910's existing process for progressing from computational hit to experimental hit to lead to drug candidate, • Co-author provisional patents and peer-reviewed research papers, • Progress a virtual hit to a biochemical/cellular hit, • Validate a cellular hit in a clinically relevant animal model of disease, • Update provisional patents with the animal model data, • Nominate a lead candidate for progression into IND-enabling studies, • Attend and present research at conferences and events related to computational modeling in drug discovery Qualifications • Ph.D. in computational chemistry or related discipline, • 2 years of relevant industry experience within drug discovery or biotechnology, • Played a key role in advancing a drug discovery program from early research phases to clinical development, • In-depth knowledge and hands-on experience with quantum chemical (QC) methods, including semi-empirical and density functional theory (DFT) approaches, molecular dynamics (MD) simulations, including both standard MD and enhanced sampling techniques such as metadynamics, umbrella sampling, and replica exchange MD, free energy simulations such as FEP and TI, and QM/MM methodologies for small and large molecular systems, • Strong understanding of key concepts, including potential energy surfaces (PES), intermolecular and intramolecular forces/interactions, force fields, molecular properties, thermodynamic properties, solvation models (implicit/explicit), and conformational sampling, • Proficiency in analyzing molecular properties such as solvation free energy, dipole moments, vibrational frequencies, electrostatic potential, charge distribution, and more., • Deep knowledge of implicit and explicit solvent models, with extensive experience modeling solvent effects on molecular systems and chemical reactions in various environments, • Extensive experience in using and troubleshooting software tools for QC calculations (e.g., ORCA, xTB, CREST, etc.), MD simulations (e.g., GROMACS, OpenMM, etc.), Drug Design Development Packages (e.g., EG, Schrodinger, MOE, CRESSET), • Experience working with HPC Clusters and cloud-based services like (e.g., Microsoft AZURE, AWS), • Ability to optimize computational simulation protocols for efficient resource usage, • Proven experience working with small organic molecules and large biomolecular systems (e.g., peptides, proteins, etc.) for property prediction, conformational analysis, and structure-activity relationships (SAR), • Hands-on experience with Python and Bash scripting for automating workflows and data analysis, • Familiarity with cheminformatics toolkits such as RDKit for molecular property prediction and data management, • Basic knowledge of machine learning (ML) techniques applied to molecular property prediction, virtual screening, and related tasks, • Strong desire to collaborate with AI scientists, data scientists, medicinal chemists, and biologists to interpret computational results and guide experimental design, • Clear and effective communication of complex scientific ideas through reports, presentations, and publications Nice to Haves • Publications in computational chemistry related to drug discovery #LI-Onsite Diversity and Inclusion (1910's Promise) At 1910, we believe that a diverse, equitable, and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. 1910 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, citizenship, marital status, disability, gender identity, or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While 1910 supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills. Benefits and Perks • Competitive compensation package, • Above market benefits, • Generous vacation and parental leave, • Super cool team building activities, • Great colleagues

Job Description Life at Plume At Plume, we believe that technology isn't about moving faster, it's about making life's moments better. Which is why we've built the world's first, and only, open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces—and human experiences—at massive scale. We now deliver services to over 60 million locations globally and have managed over 3 billion devices on our platform. We're expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years. Our customers include many of the world's largest Internet Service Providers (ISPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data. With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we can't do it exceptionally well, we don't do it. It's how we've assembled a team of world-class builders, thinkers, and doers. And it's how we're reinventing what's possible every day. About the Role Plume's Core Engineering team is looking for a Senior Wireless Firmware Engineer with deep expertise in WiFi driver development to lead innovation for large-scale WiFi and broadband solutions. You will work across embedded firmware, wireless drivers, and system-level software to enable high-performance, scalable, and reliable WiFi experiences. This is a high-impact senior role where you will lead complex initiatives in wireless networking, performance optimization, and large-scale deployments, while mentoring other engineers and influencing system architecture. What You'll Do • Lead design and development of WiFi firmware and driver architecture for next-generation wireless platforms, • Own critical components of the WiFi stack and drive technical direction across projects, • Mentor junior engineers and provide technical guidance across firmware and driver domains, • Design, develop, and optimize WiFi firmware and low-level wireless drivers, • Work on IEEE 802.11 stack (WiFi 4/5/6/6E/7), including MAC/PHY layers, • Debug and optimize WiFi drivers with chipset/SoC vendors, • Analyze network behavior and improve performance (throughput, latency, reliability), • Participate in full software lifecycle: design, development, testing, deployment, and support, • Troubleshoot complex system-level issues across firmware, drivers, and networking stacks Required Qualifications • BS/MS/PhD in Computer Science, Electrical Engineering, or related field, • 8+ years of experience in embedded systems, firmware, or driver development, • Proven experience leading complex technical projects end-to-end, • Strong expertise in C/C++, • Deep experience with WiFi driver development at chipset/SoC level, • Strong understanding of Linux kernel and networking stack, • Deep knowledge of IEEE 802.11 MAC and PHY layers, • Experience with OpenWRT, RDK, or OpenSync, • Strong debugging and performance optimization skills Preferred Qualifications • Experience with Broadcom, Qualcomm, or MediaTek WiFi chipsets, • Experience with mesh networking and large-scale deployments, • Knowledge of MU-MIMO, OFDMA, beamforming, WiFi 7, • Python or scripting for automation, • Familiarity with cloud-managed networking systems What You Bring • Strong ownership and leadership mindset, • Ability to solve complex, ambiguous problems, • Experience mentoring engineers, • Excellent communication and collaboration skills, • Passion for building high-performance wireless systems This role is fully remote but requires someone to reside in EST. Unfortunately, we are not offering sponsorship at this time. The total compensation package would include an anticipated compensation range of $140,000.00 - $150,000.00, plus bonus, equity, and benefits. Benefits include: a 401 (k) plan and a company match, basic life insurance, plus unparalleled health, dental, vision, and other benefits and perks. An employee's base salary and its position within the range may depend on several factors, including job-related knowledge, education, skills, experience, and other business-related considerations. Published ranges are provided in good faith at the time of posting. #LI-Remote, #RemoteJobs, #WorkFromHome, #RemoteWork, #WFH About Plume As the creator of the only open, hardware-independent, cloud-controlled experience platform for ISPs and their subscribers, Plume partners with over 400 ISP customers, including some of the world's largest such as Comcast, Charter, Liberty Global, and J:COM. Using OpenSync, the most widely supported open-source, silicon-to-cloud framework for smart spaces, Plume's software-defined network allows ISPs to decouple their service offerings from hardware and rapidly curate and deliver new services over a multi-vendor, open-platform architecture. Plume is an equal opportunity workplace that maintains a continuing policy of nondiscrimination in all employment practices and decisions, ensuring equal employment opportunities for all qualified individuals without regard to race, color, creed, religion, sex, national origin, age, physical or mental disability, sexual orientation, gender identity, marital status, pregnancy, childbirth or related individual conditions, medical conditions (as defined by state law), military or veteran status, or any other characteristic protected by federal, state or local law.

Job Description America's Test Kitchen is looking for a Lead Software Engineer. The Lead Software Engineer, Data and MarTech, is a senior technical leader embedded within a Scrum team, responsible for shaping how applications collect, process, and are delivered across the organization. This role sits at the intersection of software engineering, data architecture, and product delivery, ensuring that data systems are not only scalable and performant, but also reliable, well-modeled, and aligned to business needs. Operating with a high degree of autonomy, this individual is expected to navigate ambiguity, make sound architectural decisions, and deliver solutions that span multiple systems and stakeholders. They play a critical role in translating loosely defined product and analytics requirements into durable data platforms and pipelines that enable both operational and strategic use cases. Beyond delivery, the Lead Software Engineer sets the standard for engineering excellence within the team. They influence how work is structured, how quality is measured, and how systems evolve over time. Their presence should elevate the team’s ability to deliver predictable, high-quality outcomes while reducing operational friction and improving data trust across the organization. Key Responsibilities • Design, build, and maintain scalable data pipelines and data services (batch and real-time), • Lead the architecture and evolution of data models, ensuring they support analytics, reporting, and product use cases, • Break down complex data initiatives into actionable work aligned with Scrum delivery practices, • Partner with Product, Analytics, and Engineering stakeholders to gather and refine requirements, • Establish and enforce best practices for data engineering, including schema design, pipeline orchestration, and testing, • Implement and maintain data quality frameworks, including validation, monitoring, and alerting, • Define and uphold SLAs/SLOs for data availability, latency, and accuracy, • Contribute high-quality production code and conduct thorough code reviews across the team, • Identify, surface, and mitigate technical risks that could impact delivery or system reliability, • Drive observability across data systems using logging, metrics, and tracing tools, • Mentor engineers and elevate team capabilities in data engineering practices, • Influence technical direction across teams and contribute to broader platform strategyRequired Qualifications, • 7+ years of software engineering experience with a strong emphasis on data engineering, • Proven experience designing and operating scalable data pipelines and distributed data systems, • 3+ years of experience designing data solutions on AWS, • Proficiency in one or more programming languages such as Python, Java, or Scala, • Experience with modern data technologies (e.g., Spark, Kafka, Airflow, dbt, Snowflake, Redshift, BigQuery), • Strong understanding of data modeling concepts, including dimensional modeling and data warehousing, • Experience working within Agile/Scrum teams and contributing to sprint planning and execution, • Hands on experience with real-time streaming and event-driven architectures, • Demonstrated ability to solve complex technical problems with minimal directionPreferred Qualifications, • Experience implementing data governance, lineage, and cataloging solutions, • Exposure to machine learning workflows or data science collaboration, • Prior experience leading technical initiatives or influencing multiple teams, • Bachelor of Science in Computer Science or similar disciplineImpact This role is foundational to building a data-driven organization. By ensuring that data systems are reliable, scalable, and aligned to business needs, the Lead Software Engineer (Data) enables faster decision-making, more effective product development, and increased confidence in the organization’s data assets. Their leadership directly contributes to reducing operational risk, improving data quality, and accelerating the delivery of high-impact data capabilities. Location: This role is based in our Boston, MA headquarters (Seaport District) or is open to qualified remote applicants. Salary Range: $ 140,000 - $ 160,000 The range provided is based on what we reasonably expect to pay for this job as of the time of posting. The actual salary offered will be determined based on multiple factors, including but not limited to the candidate’s relevant experience, job-related knowledge, skills, geographical location, and other job-related factors permitted by law. About America’s Test Kitchen: The mission of America’s Test Kitchen (ATK) is to empower and inspire confidence, community, and creativity in the kitchen. Founded in 1992, the company is the leading multimedia cooking resource serving millions of fans with TV shows (America’s Test Kitchen, Cook's Country, and America’s Test Kitchen: The Next Generation), award-winning magazine (Cook’s Illustrated) and limited-edition newsstand issues, cookbooks, podcasts, FAST channels, short-form video series, and the ATK Essential Membership for digital content. Based in a state-of-the-art 15,000-square-foot test kitchen in Boston’s Seaport District, ATK has earned the trust of home cooks and culinary experts alike thanks to its one-of-a-kind processes and best-in-class techniques. Fifty full-time (admittedly very meticulous) test cooks, editors, and product testers spend their days tweaking every variable to find the very best recipes, equipment, ingredients, and techniques. Learn more at https://www.americastestkitchen.com/. Why America’s Test Kitchen: We're passionate about cooking, and about creating the best place to work. We're small enough for your ideas to make a big impact, and large enough to offer you opportunities to grow professionally at any stage of your career. We want you to take risks and make mistakes — that's how innovation happens in our test kitchen, in our offices, and in life. We at America’s Test Kitchen believe food media can be a powerful force for social change. We are passionate about building an inclusive workforce that represents many different cultures, backgrounds, abilities, identities, and perspectives. We welcome your application.

Job DescriptionMotional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn't just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options. The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year. We are seeking a highly skilled Software Engineer to play a critical role in evaluating and improving the performance of our autonomous vehicle (AV) technology. This engineer will be responsible for developing and implementing metrics and software tools, primarily using Python, to effectively measure, analyze, and report on the performance of our AV systems. Their work will directly contribute to accelerating the development of safe and reliable autonomous technologies by transforming complex AV data into actionable insights for the organization. What You'll Be Doing: • Design AV Performance Analysis Pipelines: Define, design, and implement key pipelines to extract on-road or simulated events and evaluate autonomous vehicle performance (e.g., lane change capability, oscillation/braking metrics, VRU emergence from occlusion)., • Develop Metrics Software and AI-Powered Tools: Leverage strong Python skills to develop frameworks, AI-powered tools, and systems for calculating, aggregating, and visualizing AV performance metrics from large datasets., • Collaborate Cross-Functionally: Work with systems, software, AI, controls, simulation, and validation teams to understand needs and improve systems like Perception, Prediction, and Planning., • Ensure Data Quality and Validation: Implement rigorous checks and validation processes to ensure the accuracy and integrity of data used for performance evaluation., • Document and Share Knowledge: Create clear documentation for metrics and analysis tools, and share best practices with the engineering team., • Advance Technical Expertise: Proactively evaluate and integrate new technologies and methodologies relevant to autonomous vehicles and software engineering. What We're Looking For: • 5+ years of software engineering experience and a Bachelor's degree in Computer Science or a related field; a Master's degree is a plus., • Expert-level proficiency in Python and a strong understanding of modern software development principles and best practices., • Strong analytical and problem-solving skills, particularly in the context of complex system performance evaluation and data analysis., • Proficient with Git and standard version control workflows., • Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts and results to diverse audiences (engineers, product managers, leadership)., • Proven ability to work both independently and effectively as part of a multidisciplinary team., • Strong attention to detail and a commitment to data quality, accuracy, and rigorous testing., • Comfortable working in a fast-paced, agile, continuous integration/continuous delivery (CI/CD) environment. Bonus Points (not required): • Experience working with autonomous vehicle sensor data (e.g., LiDAR, camera, radar)., • Familiarity with simulation environments and data generated from AV simulations., • Experience with data visualization tools (e.g., Looker) for presenting performance metrics., • Knowledge of statistical analysis and machine learning techniques relevant to performance evaluation.Success Metrics:, • Successful design and implementation of key autonomous vehicle performance metrics., • Improvement in the efficiency and effectiveness of AV performance evaluation processes., • Timely and accurate delivery of data and insights to AV development teams., • Contribution to the overall advancement and safety of our autonomous vehicle technology. This is a unique opportunity to make a meaningful impact at Motional by enhancing our data platform and accelerating development speed for our industry-leading autonomous vehicle metrics and capabilities ecosystem. We take pride in having some of the brightest and most dedicated talent in the world on our team. If you're innovative, driven, and eager to tackle challenges, we'd love to have you join us! Physical Demands: While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds. Travel Requirements (greater than 20%): Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business. Working Environment: The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. 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$149,000—$198,500 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 www.Motional.com 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 DescriptionAbout this role Pickle is looking for a Backend Software Engineer to join our autonomy team, focused on building scalable systems that support task planning and robotic workflows. This role sits at the intersection of software engineering and robotics infrastructure. You'll work closely with robotics engineers to design and build backend services that power real-world robotic systems on the warehouse floor. We're looking for a strong software engineer who cares deeply about code quality, system design, and performance — someone who can bring solid backend engineering practices into a robotics environment and isn't afraid to get close to the hardware. At Pickle, your code directly impacts how autonomous robots operate in production warehouses. You'll own meaningful pieces of the stack, collaborate across a tight-knit engineering team, and see the results of your work in the real world. Responsibilities: • Design and build backend services supporting task planning, autonomy, and frontend systems, • Develop scalable, reliable, and performant systems using Python (and C++ where needed), • Contribute to system architecture and service design within the team, • Build and maintain event-driven systems and messaging-based architectures, • Collaborate closely with robotics engineers to integrate backend systems with real-world workflows, • Improve system performance, reliability, and maintainability across services, • Participate in code reviews and technical discussions to elevate engineering standardsSkills & Experience:, • 2-5 years of experience in backend or distributed systems engineering, • Strong programming experience in Python, • Experience with C++ or another strongly typed language (e.g., Rust, Go, Java), • Strong understanding of software architecture, concurrency, and distributed system design, • Experience building or supporting event-driven systems, messaging frameworks, or service-oriented architectures, • Experience developing systems that interface with hardware, robotics, or real-world operational environments is a plus, • Experience building or supporting web applications using Flask or REST API Nice to have:, • Experience working across multiple programming languages, • Familiarity with distributed systems or microservices architectures, • Exposure to robotics, autonomy, or hardware-integrated systems, • Experience with messaging systems (e.g., Kafka, ROS, or similar)Pay at PickleAt Pickle Robot Company, we believe transparency builds trust. The salary range listed here is provided in accordance with Massachusetts law and reflects what we reasonably and in good faith expect to offer for this role. We often consider candidates at different levels of seniority, and final compensation will reflect the level at which a candidate is hired, along with factors like experience and location. About Pickle RobotWant to get in on the ground floor of a fast-growing, VC-backed robotics company? Join Pickle Robot! We build systems that companies and their teams love. Pickle robots unload trucks. Every day, millions of trucks and containers are loaded and unloaded, often requiring manual labor—tough, dirty, dangerous, and hard to staff. Pickle automates this process using AI, machine learning, and robotics to deliver reliable products. Our Unload Systems work with teams on loading docks to make the job safer, faster, and more efficient. Pickle provides best-in-class benefits including health, dental, & vision insurance; unlimited vacation, along with all federal and state holidays; 401K contributions of 5% your salary, travel supplies, and other items to make your working life more fun, comfortable, and productive. 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 klaviyo.com/careers to see how we empower creators to own their own destiny. About the Role Our team is looking for a Senior Full Stack Engineer to help build the future of Customer Agent, Klaviyo's AI-native conversational platform. In this role, you'll play a critical part in shaping how autonomous service, AI-driven support, and agentic commerce experiences evolve at scale across millions of customer interactions. You'll work across the stack to design, build, and scale systems that power intelligent workflows, conversational experiences, tools integrations, retrieval systems, onboarding flows, observability, and multi-channel customer engagement. You'll help develop both foundational platform capabilities and customer-facing experiences that enable brands to launch, customize, and continuously improve their own highly-configurable AI agents. As a Senior Engineer, you'll tackle complex technical and product challenges, develop multiple solution paths, and evaluate business and architectural trade-offs to determine the best approach. You'll also act as a technical leader and mentor, driving engineering quality, execution, and decision-making across projects. Additionally, you'll be responsible for deploying well-designed, thoroughly tested solutions that prioritize reliability, scalability, and customer impact. The Customer Agent team is building one of Klaviyo's most ambitious and strategic product areas: an extensible AI platform that enables brands to deliver personalized, autonomous customer experiences across channels like chat, email, SMS, and beyond. We operate with high ownership, rapid iteration cycles, and a strong bias toward execution. Every engineer is expected to think holistically about customer outcomes, collaborate deeply across engineering, product, design, data science, and go-to-market teams, and push beyond traditional role boundaries to help the team move faster. Success in this role means shipping high-quality systems quickly, contributing to foundational platform decisions, improving the intelligence and reliability of our agent experiences, and helping define how AI-powered customer engagement evolves at Klaviyo. What We're Looking For • A proven track record of building high-quality products and systems, with pride in writing clean, maintainable, high-quality code., • 7+ years of experience in a software engineering role., • Strong experience developing end-to-end software solutions or extensive experience across both front-end and back-end technologies., • Experience building scalable, customer-facing systems in fast-moving product environments - we operate like a startup inside of Klaviyo., • Experience leading projects and being accountable for technical and business outcomes., • Experience mentoring team members or driving initiatives that help the team grow and learn new skills., • Experience conducting code reviews and maintaining a robust testing and deployment cycle., • Curiosity and enthusiasm for AI-native product development, including practical experience experimenting with LLMs, AI tooling, or agentic workflows in professional or personal projects., • Excitement about leveraging AI to improve engineering velocity, customer experiences, and operational workflows., • A strong product mindset and willingness to collaborate cross-functionally to solve ambiguous problems with urgency and pragmatism. Nice to Have • Skills with Python and related technologies., • Skills with React and related technologies., • Experience building conversational AI systems, workflow engines, or agentic platforms., • Experience with retrieval systems, embeddings, eval frameworks, or LLM orchestration patterns., • Experience building cloud-native solutions, ideally with AWS., • Experience developing customer support, commerce, marketing, or customer data software solutions., • Experience with machine learning systems or AI infrastructure., • Experience building multi-tenant or highly configurable SaaS platforms., • Familiarity with observability, tracing, experimentation, or AI quality/evaluation tooling. 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. #indeedRD 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:$148,000—$222,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. 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. 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Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Czech, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on locationWhy This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. 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.