City/State Virginia Beach, VA Work Shift Multiple shifts available Overview: Sentara is hiring a Senior MLOps & Generative AI Engineer! This position is fully remote! Candidates must reside in one of the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, West Virginia, Wisconsin, or Wyoming. Overview We are seeking a highly skilled and experienced Senior MLOps & Generative AI Engineer to join our growing AI organization and help advance current and future initiatives applying machine learning, deep learning, NLP, and Generative AI technologies to improve healthcare outcomes and operational excellence. This role combines two critical focus areas: MLOps Engineering - building and scaling enterprise-grade ML infrastructure, deployment pipelines, observability, governance, and automation capabilities. Generative AI Engineering - designing, architecting, deploying, and optimizing secure, production-ready GenAI applications and platforms leveraging LLMs, RAG architectures, vector databases, prompt orchestration, and AI evaluation frameworks. As a Senior Engineer, you will partner closely with AI Scientists, Data Engineers, Software Engineers, Architects, and Product teams to operationalize AI/ML and Generative AI solutions at enterprise scale. You will play a key role in shaping the organization's AI platform strategy, driving best practices, and delivering scalable, secure, and reliable AI systems in production healthcare environments. Key Responsibilities MLOps Engineering Responsibilities Design, build, and maintain scalable ML infrastructure and pipelines supporting model training, deployment, monitoring, governance, and lifecycle management. Develop and optimize CI/CD pipelines for machine learning and AI workloads across development, staging, and production environments. Build reusable ML platform capabilities including feature stores, model registries, experimentation frameworks, artifact management, and deployment automation. Implement scalable orchestration and workflow solutions for batch and real-time ML inference workloads. Create robust monitoring systems to measure model performance, detect model drift, monitor data quality, and ensure production reliability. Develop automation tools and self-service capabilities to improve the efficiency, scalability, and reliability of MLOps processes. Collaborate with Data Scientists and Software Engineers to streamline the ML lifecycle from experimentation through enterprise production deployment. Apply software engineering best practices to AI/ML systems including testing, observability, resiliency, security, versioning, and infrastructure-as-code. Identify gaps and improvement opportunities within the organization's ML platform ecosystem and architect scalable solutions to address them. Support enterprise AI governance, compliance, auditability, and model risk management requirements. Ensure platform scalability, reliability, security, and operational excellence across AI/ML systems. Generative AI Engineering Responsibilities Lead the architecture, design, and deployment of enterprise Generative AI solutions leveraging LLMs, foundation models, and agentic AI systems. Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases, embeddings, semantic search, reranking, and retrieval optimization strategies. Build scalable LLM orchestration frameworks using technologies such as LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks. Develop advanced prompt engineering strategies, prompt chaining, context management, and agent workflows to improve LLM accuracy and reliability. Evaluate and implement fine-tuning, parameter-efficient tuning, and prompt-based optimization approaches for domain-specific use cases. Build AI evaluation and benchmarking frameworks to measure hallucination rates, response quality, grounding accuracy, toxicity, bias, latency, and business performance metrics. Implement AI safety guardrails, governance controls, content filtering, and responsible AI practices for enterprise healthcare environments. Design scalable GenAI APIs and microservices supporting high-throughput enterprise AI applications. Optimize GenAI systems for cost, latency, throughput, and inference performance across cloud and hybrid environments. Integrate enterprise data sources, healthcare systems, and knowledge repositories into secure GenAI workflows. Research and evaluate emerging GenAI technologies, open-source frameworks, and foundation models to drive innovation and continuous improvement. Develop architecture diagrams, technical roadmaps, implementation strategies, and executive-level documentation for enterprise AI initiatives. Collaborate with cybersecurity, compliance, and infrastructure teams to ensure secure and compliant deployment of GenAI solutions involving PHI and sensitive healthcare data. Contribute to the development of AI platform standards, reusable GenAI accelerators, templates, and engineering best practices. Required Qualifications 5+ years of experience building and deploying production software, ML systems, or AI platforms. 1+ years of hands-on experience building production Generative AI or LLM-based applications. Strong programming skills in Python and experience with software engineering best practices. Experience with major deep learning and LLM frameworks such as PyTorch, Hugging Face Transformers, TensorFlow, or equivalent. Hands-on experience implementing RAG architectures, vector search, embeddings, prompt engineering, and LLM orchestration frameworks. Experience with vector databases such as Pinecone, Weaviate, Chroma, FAISS, Milvus, or equivalent technologies. Experience deploying AI/ML systems in cloud environments including AWS, Azure, or GCP. Strong understanding of APIs, distributed systems, microservices, and scalable backend architectures. Experience with Kubernetes, containerization, orchestration, and cloud-native infrastructure. Experience implementing CI/CD pipelines, infrastructure automation, and MLOps best practices. Experience building monitoring, observability, and alerting solutions for ML and AI systems. Strong understanding of AI/ML lifecycle management, governance, model versioning, and production operations. Experience designing secure, scalable, production-ready AI platforms and services. Strong communication and collaboration skills with the ability to work across technical and business teams. Preferred Qualifications Previous experience implementing Generative AI and MLOps solutions within healthcare environments. Experience working with EPIC or healthcare interoperability platforms. Understanding of HIPAA, PHI handling, healthcare compliance, and responsible AI practices. Experience with AI governance frameworks, LLM evaluation methodologies, and AI safety tooling. Experience with GPU infrastructure optimization and scalable inference architectures. Familiarity with multi-agent AI systems and autonomous workflows. Experience with event-driven architectures, streaming pipelines, and real-time inference systems. Exposure to model fine-tuning techniques including LoRA, PEFT, RLHF, or domain adaptation strategies. Experience with enterprise AI platform architecture and internal developer platforms. Prior experience mentoring engineers and leading technical initiatives. Education 5+ years of relevant experience with a degree (Required) or 7+ years of relevant experience without a degree (Required) Experience in lieu of Bachelor's Degree. Certification/Licensure No specific certification or licensure requirements Experience 5 to 7 years of relevant experience We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for Full Time employment is: $91,416.00 - $152,380.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development •Pet Insurance •Legal Resources Plan . click apply for full job details
08/07/2026
Full time
City/State Virginia Beach, VA Work Shift Multiple shifts available Overview: Sentara is hiring a Senior MLOps & Generative AI Engineer! This position is fully remote! Candidates must reside in one of the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, West Virginia, Wisconsin, or Wyoming. Overview We are seeking a highly skilled and experienced Senior MLOps & Generative AI Engineer to join our growing AI organization and help advance current and future initiatives applying machine learning, deep learning, NLP, and Generative AI technologies to improve healthcare outcomes and operational excellence. This role combines two critical focus areas: MLOps Engineering - building and scaling enterprise-grade ML infrastructure, deployment pipelines, observability, governance, and automation capabilities. Generative AI Engineering - designing, architecting, deploying, and optimizing secure, production-ready GenAI applications and platforms leveraging LLMs, RAG architectures, vector databases, prompt orchestration, and AI evaluation frameworks. As a Senior Engineer, you will partner closely with AI Scientists, Data Engineers, Software Engineers, Architects, and Product teams to operationalize AI/ML and Generative AI solutions at enterprise scale. You will play a key role in shaping the organization's AI platform strategy, driving best practices, and delivering scalable, secure, and reliable AI systems in production healthcare environments. Key Responsibilities MLOps Engineering Responsibilities Design, build, and maintain scalable ML infrastructure and pipelines supporting model training, deployment, monitoring, governance, and lifecycle management. Develop and optimize CI/CD pipelines for machine learning and AI workloads across development, staging, and production environments. Build reusable ML platform capabilities including feature stores, model registries, experimentation frameworks, artifact management, and deployment automation. Implement scalable orchestration and workflow solutions for batch and real-time ML inference workloads. Create robust monitoring systems to measure model performance, detect model drift, monitor data quality, and ensure production reliability. Develop automation tools and self-service capabilities to improve the efficiency, scalability, and reliability of MLOps processes. Collaborate with Data Scientists and Software Engineers to streamline the ML lifecycle from experimentation through enterprise production deployment. Apply software engineering best practices to AI/ML systems including testing, observability, resiliency, security, versioning, and infrastructure-as-code. Identify gaps and improvement opportunities within the organization's ML platform ecosystem and architect scalable solutions to address them. Support enterprise AI governance, compliance, auditability, and model risk management requirements. Ensure platform scalability, reliability, security, and operational excellence across AI/ML systems. Generative AI Engineering Responsibilities Lead the architecture, design, and deployment of enterprise Generative AI solutions leveraging LLMs, foundation models, and agentic AI systems. Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases, embeddings, semantic search, reranking, and retrieval optimization strategies. Build scalable LLM orchestration frameworks using technologies such as LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks. Develop advanced prompt engineering strategies, prompt chaining, context management, and agent workflows to improve LLM accuracy and reliability. Evaluate and implement fine-tuning, parameter-efficient tuning, and prompt-based optimization approaches for domain-specific use cases. Build AI evaluation and benchmarking frameworks to measure hallucination rates, response quality, grounding accuracy, toxicity, bias, latency, and business performance metrics. Implement AI safety guardrails, governance controls, content filtering, and responsible AI practices for enterprise healthcare environments. Design scalable GenAI APIs and microservices supporting high-throughput enterprise AI applications. Optimize GenAI systems for cost, latency, throughput, and inference performance across cloud and hybrid environments. Integrate enterprise data sources, healthcare systems, and knowledge repositories into secure GenAI workflows. Research and evaluate emerging GenAI technologies, open-source frameworks, and foundation models to drive innovation and continuous improvement. Develop architecture diagrams, technical roadmaps, implementation strategies, and executive-level documentation for enterprise AI initiatives. Collaborate with cybersecurity, compliance, and infrastructure teams to ensure secure and compliant deployment of GenAI solutions involving PHI and sensitive healthcare data. Contribute to the development of AI platform standards, reusable GenAI accelerators, templates, and engineering best practices. Required Qualifications 5+ years of experience building and deploying production software, ML systems, or AI platforms. 1+ years of hands-on experience building production Generative AI or LLM-based applications. Strong programming skills in Python and experience with software engineering best practices. Experience with major deep learning and LLM frameworks such as PyTorch, Hugging Face Transformers, TensorFlow, or equivalent. Hands-on experience implementing RAG architectures, vector search, embeddings, prompt engineering, and LLM orchestration frameworks. Experience with vector databases such as Pinecone, Weaviate, Chroma, FAISS, Milvus, or equivalent technologies. Experience deploying AI/ML systems in cloud environments including AWS, Azure, or GCP. Strong understanding of APIs, distributed systems, microservices, and scalable backend architectures. Experience with Kubernetes, containerization, orchestration, and cloud-native infrastructure. Experience implementing CI/CD pipelines, infrastructure automation, and MLOps best practices. Experience building monitoring, observability, and alerting solutions for ML and AI systems. Strong understanding of AI/ML lifecycle management, governance, model versioning, and production operations. Experience designing secure, scalable, production-ready AI platforms and services. Strong communication and collaboration skills with the ability to work across technical and business teams. Preferred Qualifications Previous experience implementing Generative AI and MLOps solutions within healthcare environments. Experience working with EPIC or healthcare interoperability platforms. Understanding of HIPAA, PHI handling, healthcare compliance, and responsible AI practices. Experience with AI governance frameworks, LLM evaluation methodologies, and AI safety tooling. Experience with GPU infrastructure optimization and scalable inference architectures. Familiarity with multi-agent AI systems and autonomous workflows. Experience with event-driven architectures, streaming pipelines, and real-time inference systems. Exposure to model fine-tuning techniques including LoRA, PEFT, RLHF, or domain adaptation strategies. Experience with enterprise AI platform architecture and internal developer platforms. Prior experience mentoring engineers and leading technical initiatives. Education 5+ years of relevant experience with a degree (Required) or 7+ years of relevant experience without a degree (Required) Experience in lieu of Bachelor's Degree. Certification/Licensure No specific certification or licensure requirements Experience 5 to 7 years of relevant experience We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for Full Time employment is: $91,416.00 - $152,380.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development •Pet Insurance •Legal Resources Plan . click apply for full job details
TriNet is a leading provider of comprehensive human resources solutions for small to midsize businesses (SMBs). We enhance business productivity by enabling our clients to outsource their HR function to one strategic partner and allowing them to focus on operating and growing their core businesses. Our full-service HR solutions include features such as payroll processing, human capital consulting, employment law compliance and employee benefits, including health insurance, retirement plans and workers' compensation insurance. TriNet has a nationwide presence and an experienced executive team. Our stock is publicly traded on the NYSE under the ticker symbol TNET. If you're passionate about innovation and making an impact on the large SMB market, come join us as we power our clients' business success with extraordinary HR. Don't meet every single requirement? Studies have shown that many potential applicants discourage themselves from applying to jobs unless they meet every single requirement. TriNet always strives to hire the most qualified candidate for a particular role, ensuring we deliver outstanding results for our small and medium-size customers. So, if you're excited about this role but your past experience doesn't align perfectly with every single qualification in the job description, nobody's perfect - and we encourage you to apply. You may just be the right candidate for this or other roles. A Brief Overview As a Staff MLOps Engineer, you will play a pivotal role in designing, implementing, and optimizing machine learning operations within our infrastructure. You will collaborate closely with data scientists, software engineers, and other cross-functional teams to ensure the seamless deployment and maintenance of machine learning models. What you will do Develop, manage, and scale the infrastructure required for efficient and reliable machine learning model deployment, including orchestration, version control, and monitoring systems. Design and implement automation pipelines for model training, testing, validation, and deployment, integrating CI/CD practices to ensure smooth and consistent delivery of ML models. Deploy machine learning models into production environments, establishing monitoring and alerting systems to track model performance, health, and data drift. Proactively troubleshoot issues and optimize model efficiency. Collaborate with data scientists, software engineers, and DevOps teams to streamline the integration of machine learning solutions into existing software systems and workflows. Ensure adherence to security protocols and compliance standards throughout the machine learning lifecycle, implementing best practices for data privacy and model governance. Stay updated with the latest advancements in MLOps tools, technologies, and methodologies, and propose enhancements to existing processes to improve efficiency and reliability. Solve complex and ambitious problems by crafting elegant and impactful solutions. ontributes to technical innovations along with defining coding standards entors and support other members of the software development team and contribute to the software development best practices. Performs other duties as assigned Complies with all policies and standards Education Qualifications Bachelor's Degree in Computer Science/Engineering or equivalent experience preferred Experience Qualifications Typically 8+ years Proven experience working in a similar MLOps or DevOps role within a technical engineering environment. required Typically 8+ years Experience with programming languages such as Python, Java, or similar, along with experience with relevant ML frameworks (TensorFlow, PyTorch, etc.). required Experience with CI/CD pipelines, version control systems (Git), and automation tools. Skills and Abilities Knowledge of end-to-end SDLC process in EDW, Data Lake, BI & MLOps projects Dimensional Modeling and Data warehouse, ODS concepts, such as star schemas, snowflakes, and normalized data models Strong knowledge of containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP). Ability to coordinate effectively with on-site and offshore resources through Managed Service Providers & IT Teams Knowledge of Reporting tools like Tableau is desired Excellent verbal and written communication skills Strong Problem-solving and organizational skills and ability to work in a fast-paced, collaborative environment. Solid understanding of machine learning concepts, model development, and deployment strategies. Travel Requirements Minimal Work Environment Work in clean, pleasant, and comfortable office or home setting. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable persons with disabilities to perform the essential functions. The preferred location for this role is Atlanta, GA, and the salary range for this location is $125,000.00 to $275,000.00. All qualified external applicants will be considered for an in-office role, based in Atlanta. All qualified internal candidates are encouraged to apply and consider relocation to Atlanta and may be considered for remote hire at the company's discretion. The candidate's final salary offer will be based on the candidate's skills, education, work location and experience. A candidate's compensation may also include bonuses consistent with TriNet's corporate bonus plan. Additionally, subject to applicable eligibility requirements, TriNet offers permanent full-time employees a variety of benefits including medical, dental, and vision plans, life and disability insurance, a 401(K) savings plan, an employee stock purchase plan, eleven (11) Company observed holidays, PTO and a comprehensive leave program. Please click the following link for detailed information about our benefits offerings: Please Note: TriNet reserves the right to change or modify job duties and assignments at any time. The above job description is not all encompassing. Position functions and qualifications may vary depending on business necessity. TriNet is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact to request such an accommodation.
08/07/2026
Full time
TriNet is a leading provider of comprehensive human resources solutions for small to midsize businesses (SMBs). We enhance business productivity by enabling our clients to outsource their HR function to one strategic partner and allowing them to focus on operating and growing their core businesses. Our full-service HR solutions include features such as payroll processing, human capital consulting, employment law compliance and employee benefits, including health insurance, retirement plans and workers' compensation insurance. TriNet has a nationwide presence and an experienced executive team. Our stock is publicly traded on the NYSE under the ticker symbol TNET. If you're passionate about innovation and making an impact on the large SMB market, come join us as we power our clients' business success with extraordinary HR. Don't meet every single requirement? Studies have shown that many potential applicants discourage themselves from applying to jobs unless they meet every single requirement. TriNet always strives to hire the most qualified candidate for a particular role, ensuring we deliver outstanding results for our small and medium-size customers. So, if you're excited about this role but your past experience doesn't align perfectly with every single qualification in the job description, nobody's perfect - and we encourage you to apply. You may just be the right candidate for this or other roles. A Brief Overview As a Staff MLOps Engineer, you will play a pivotal role in designing, implementing, and optimizing machine learning operations within our infrastructure. You will collaborate closely with data scientists, software engineers, and other cross-functional teams to ensure the seamless deployment and maintenance of machine learning models. What you will do Develop, manage, and scale the infrastructure required for efficient and reliable machine learning model deployment, including orchestration, version control, and monitoring systems. Design and implement automation pipelines for model training, testing, validation, and deployment, integrating CI/CD practices to ensure smooth and consistent delivery of ML models. Deploy machine learning models into production environments, establishing monitoring and alerting systems to track model performance, health, and data drift. Proactively troubleshoot issues and optimize model efficiency. Collaborate with data scientists, software engineers, and DevOps teams to streamline the integration of machine learning solutions into existing software systems and workflows. Ensure adherence to security protocols and compliance standards throughout the machine learning lifecycle, implementing best practices for data privacy and model governance. Stay updated with the latest advancements in MLOps tools, technologies, and methodologies, and propose enhancements to existing processes to improve efficiency and reliability. Solve complex and ambitious problems by crafting elegant and impactful solutions. ontributes to technical innovations along with defining coding standards entors and support other members of the software development team and contribute to the software development best practices. Performs other duties as assigned Complies with all policies and standards Education Qualifications Bachelor's Degree in Computer Science/Engineering or equivalent experience preferred Experience Qualifications Typically 8+ years Proven experience working in a similar MLOps or DevOps role within a technical engineering environment. required Typically 8+ years Experience with programming languages such as Python, Java, or similar, along with experience with relevant ML frameworks (TensorFlow, PyTorch, etc.). required Experience with CI/CD pipelines, version control systems (Git), and automation tools. Skills and Abilities Knowledge of end-to-end SDLC process in EDW, Data Lake, BI & MLOps projects Dimensional Modeling and Data warehouse, ODS concepts, such as star schemas, snowflakes, and normalized data models Strong knowledge of containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP). Ability to coordinate effectively with on-site and offshore resources through Managed Service Providers & IT Teams Knowledge of Reporting tools like Tableau is desired Excellent verbal and written communication skills Strong Problem-solving and organizational skills and ability to work in a fast-paced, collaborative environment. Solid understanding of machine learning concepts, model development, and deployment strategies. Travel Requirements Minimal Work Environment Work in clean, pleasant, and comfortable office or home setting. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable persons with disabilities to perform the essential functions. The preferred location for this role is Atlanta, GA, and the salary range for this location is $125,000.00 to $275,000.00. All qualified external applicants will be considered for an in-office role, based in Atlanta. All qualified internal candidates are encouraged to apply and consider relocation to Atlanta and may be considered for remote hire at the company's discretion. The candidate's final salary offer will be based on the candidate's skills, education, work location and experience. A candidate's compensation may also include bonuses consistent with TriNet's corporate bonus plan. Additionally, subject to applicable eligibility requirements, TriNet offers permanent full-time employees a variety of benefits including medical, dental, and vision plans, life and disability insurance, a 401(K) savings plan, an employee stock purchase plan, eleven (11) Company observed holidays, PTO and a comprehensive leave program. Please click the following link for detailed information about our benefits offerings: Please Note: TriNet reserves the right to change or modify job duties and assignments at any time. The above job description is not all encompassing. Position functions and qualifications may vary depending on business necessity. TriNet is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact to request such an accommodation.
Cargill seeks a Senior AI Data Scientist to drive advanced analytics across its global manufacturing operations. In this role, you will design, build, and deploy machine learning solutions that optimize production, quality, and supply chain performance. You will work with large industrial datasets, partner closely with engineers and plant leaders, and translate complex insights into practical actions. At Cargill, you will join a culture of integrity, safety, and inclusive growth while contributing to sustainable food and agriculture worldwide.
08/07/2026
Full time
Cargill seeks a Senior AI Data Scientist to drive advanced analytics across its global manufacturing operations. In this role, you will design, build, and deploy machine learning solutions that optimize production, quality, and supply chain performance. You will work with large industrial datasets, partner closely with engineers and plant leaders, and translate complex insights into practical actions. At Cargill, you will join a culture of integrity, safety, and inclusive growth while contributing to sustainable food and agriculture worldwide.
GIS & Data Specialist 1 Montgomery & Associates (M&A) is seeking a GIS & Data Specialist to join our growing team at our Tucson, Arizona, headquarters. This position will provide general, entry-level technical support to hydrologic projects, as well as assist with GIS data production and project deliverables including data compilation, data management and editing, data analysis, quality assurance, and cartographic services, which will be a priority. The GIS & Data Specialist 1 will also be part of an active team responsible for the implementation of web-based data applications and database management related to the company's custom data management system. This position is intended to be full-time, with flexibility that may allow for a reduced work week. We encourage you to apply if you have experience with ESRI's ArcGIS software products-including ArcGIS Pro-and online mapping and data collection applications. We're looking for a self-motivated professional capable of implementing existing cartographic styles, data management schemas, and workflows, as well as developing new solutions independently as needed to meet project needs. Responsibilities Specific responsibilities include: Develop report-quality maps in ArcGIS Pro and other data plots, using company style guidelines Create and manage geospatial datasets, geodatabases, and relational databases Coordinate with project teams regarding GIS requirements and deliverables Conduct geospatial data analysis for projects Provide support for M&A's custom data management system, including data entry and data management for projects Support mobile data collection activities using Esri field applications (Field Maps, Survey123) Create and maintain web-based maps and applications using ArcGIS Online and customized applications Use artistic judgment to select appropriate design and layout for each illustration Perform other related duties as assigned Qualifications Ability to render illustrations for client-facing deliverables Ability to accurately and consistently complete work on schedule and with minimal supervision Ability to communicate and function in a fast paced, team-oriented environment Sufficient understanding of science to successfully create illustrations related to groundwater hydrology Excellent interpersonal and organizational skills Good analytical and problem-solving skills Academic degree in GIS, computer science, or related discipline Fundamental knowledge of the principles, methods, and practical application of ESRI's ArcGIS software-including ArcGIS Pro-general geoprocessing functionality, geodatabases, and coordinate systems Good practical understanding of data management in relational and geospatial databases At M&A, our mission is to promote a fulfilling and respectful work culture where employees collaborate to deliver pragmatic water resource solutions grounded in the principles of integrity, scientific rigor, and environmental responsibility. We are independently owned by practicing scientists who are committed to these values and to supporting our community partners. Benefits include: Competitive benefits and salary in an expanding team-oriented company Dynamic work environment with technical training provided by the company Challenging and collaborative multidisciplinary projects On the job mentoring by senior professionals Medical, dental, vision insurance, flexible Spending Account, HRA Long- and short-term disability Life/AD&D insurance Vacation, holiday, personal, and sick leave Paid parental leave Employer matching 401k retirement plan We are an Equal Opportunity Employer. M&A values diversity and inclusivity. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, gender, gender identity, gender expression, age, sexual orientation, religious creed, physical or mental disability, medical condition, genetic information, marital status, veteran status, or any other classification protected by applicable federal, state, or local law. PI809cb003ee03-0007
08/07/2026
Full time
GIS & Data Specialist 1 Montgomery & Associates (M&A) is seeking a GIS & Data Specialist to join our growing team at our Tucson, Arizona, headquarters. This position will provide general, entry-level technical support to hydrologic projects, as well as assist with GIS data production and project deliverables including data compilation, data management and editing, data analysis, quality assurance, and cartographic services, which will be a priority. The GIS & Data Specialist 1 will also be part of an active team responsible for the implementation of web-based data applications and database management related to the company's custom data management system. This position is intended to be full-time, with flexibility that may allow for a reduced work week. We encourage you to apply if you have experience with ESRI's ArcGIS software products-including ArcGIS Pro-and online mapping and data collection applications. We're looking for a self-motivated professional capable of implementing existing cartographic styles, data management schemas, and workflows, as well as developing new solutions independently as needed to meet project needs. Responsibilities Specific responsibilities include: Develop report-quality maps in ArcGIS Pro and other data plots, using company style guidelines Create and manage geospatial datasets, geodatabases, and relational databases Coordinate with project teams regarding GIS requirements and deliverables Conduct geospatial data analysis for projects Provide support for M&A's custom data management system, including data entry and data management for projects Support mobile data collection activities using Esri field applications (Field Maps, Survey123) Create and maintain web-based maps and applications using ArcGIS Online and customized applications Use artistic judgment to select appropriate design and layout for each illustration Perform other related duties as assigned Qualifications Ability to render illustrations for client-facing deliverables Ability to accurately and consistently complete work on schedule and with minimal supervision Ability to communicate and function in a fast paced, team-oriented environment Sufficient understanding of science to successfully create illustrations related to groundwater hydrology Excellent interpersonal and organizational skills Good analytical and problem-solving skills Academic degree in GIS, computer science, or related discipline Fundamental knowledge of the principles, methods, and practical application of ESRI's ArcGIS software-including ArcGIS Pro-general geoprocessing functionality, geodatabases, and coordinate systems Good practical understanding of data management in relational and geospatial databases At M&A, our mission is to promote a fulfilling and respectful work culture where employees collaborate to deliver pragmatic water resource solutions grounded in the principles of integrity, scientific rigor, and environmental responsibility. We are independently owned by practicing scientists who are committed to these values and to supporting our community partners. Benefits include: Competitive benefits and salary in an expanding team-oriented company Dynamic work environment with technical training provided by the company Challenging and collaborative multidisciplinary projects On the job mentoring by senior professionals Medical, dental, vision insurance, flexible Spending Account, HRA Long- and short-term disability Life/AD&D insurance Vacation, holiday, personal, and sick leave Paid parental leave Employer matching 401k retirement plan We are an Equal Opportunity Employer. M&A values diversity and inclusivity. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, gender, gender identity, gender expression, age, sexual orientation, religious creed, physical or mental disability, medical condition, genetic information, marital status, veteran status, or any other classification protected by applicable federal, state, or local law. PI809cb003ee03-0007
MANTECH seeks a motivated, career and customer-oriented Workforce Analytics/Data Scientist to join our team in Springfield, VA. The Workforce Analytics/Data Scientist will support the Equal Employment Opportunity (EEO) office by delivering comprehensive oversight and compliance capabilities. You will apply deep subject matter expertise to develop policies, strategic implementation plans, and tailored training while leveraging data science to protect privacy rights and civil liberties. Responsibilities include but are not limited to: Carrying out primary and secondary data collection and analysis activities, including the interpretation of analytic results and the development of vetted recommendations for senior leaders. Utilizing and developing queries from HRIS systems and business intelligence tools such as Python, R, SQL, and Tableau. Partnering with EEO staff to provide demographic-related workforce analytics for organizational oversight and federal reporting. Identifying and reporting on triggers and barriers to equal employment opportunities by analyzing workforce metrics and employee sentiment. Displaying analytic results visually and textually to communicate complex findings to both technical and non-technical audiences at all levels of the organization. Supporting annual, quarterly, and ad hoc internal and external reporting requirements by preparing briefings and strategic staff material. Participating in internal and external working groups and meetings related to workforce demographic data topics and project management. Minimum Qualifications: Bachelor's Degree or higher in Operations Research, Mathematics, Statistics, Data Science, or a related quantitative field. 7+ years of progressively responsible experience in social science or workforce analytics-related fields. Experience conducting qualitative and quantitative data analysis using descriptive and inferential statistics such as ANOVA, t-tests, and regression modeling. Experience with and demonstrated ability to extract and synthesize complex information to prepare briefings, read-aheads, and presentations with high attention to detail. Experience and proficiency with data science and visualization tools, predominantly Tableau, as well as Python, R, or SQL. Experience utilizing human capital data regarding promotion, attrition rates, and internal churn within an EEO context. Preferred Qualifications: Subject matter expert in quantitative and qualitative human capital research with an advanced degree in quantitative field. Advanced proficiency in coding, specifically including SQL for database management. Self-starter with experience interacting with senior-level directors and executive leadership to drive organizational change. Clearance Requirements: An active TS/SCI with the ability to obtain and maintain a Polygraph. Physical Requirements: Must be able to remain in a stationary position 50%. Constantly operates a computer and other office productivity machinery, such as a copier, scanner, and computer printer. Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations.
08/07/2026
Full time
MANTECH seeks a motivated, career and customer-oriented Workforce Analytics/Data Scientist to join our team in Springfield, VA. The Workforce Analytics/Data Scientist will support the Equal Employment Opportunity (EEO) office by delivering comprehensive oversight and compliance capabilities. You will apply deep subject matter expertise to develop policies, strategic implementation plans, and tailored training while leveraging data science to protect privacy rights and civil liberties. Responsibilities include but are not limited to: Carrying out primary and secondary data collection and analysis activities, including the interpretation of analytic results and the development of vetted recommendations for senior leaders. Utilizing and developing queries from HRIS systems and business intelligence tools such as Python, R, SQL, and Tableau. Partnering with EEO staff to provide demographic-related workforce analytics for organizational oversight and federal reporting. Identifying and reporting on triggers and barriers to equal employment opportunities by analyzing workforce metrics and employee sentiment. Displaying analytic results visually and textually to communicate complex findings to both technical and non-technical audiences at all levels of the organization. Supporting annual, quarterly, and ad hoc internal and external reporting requirements by preparing briefings and strategic staff material. Participating in internal and external working groups and meetings related to workforce demographic data topics and project management. Minimum Qualifications: Bachelor's Degree or higher in Operations Research, Mathematics, Statistics, Data Science, or a related quantitative field. 7+ years of progressively responsible experience in social science or workforce analytics-related fields. Experience conducting qualitative and quantitative data analysis using descriptive and inferential statistics such as ANOVA, t-tests, and regression modeling. Experience with and demonstrated ability to extract and synthesize complex information to prepare briefings, read-aheads, and presentations with high attention to detail. Experience and proficiency with data science and visualization tools, predominantly Tableau, as well as Python, R, or SQL. Experience utilizing human capital data regarding promotion, attrition rates, and internal churn within an EEO context. Preferred Qualifications: Subject matter expert in quantitative and qualitative human capital research with an advanced degree in quantitative field. Advanced proficiency in coding, specifically including SQL for database management. Self-starter with experience interacting with senior-level directors and executive leadership to drive organizational change. Clearance Requirements: An active TS/SCI with the ability to obtain and maintain a Polygraph. Physical Requirements: Must be able to remain in a stationary position 50%. Constantly operates a computer and other office productivity machinery, such as a copier, scanner, and computer printer. Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations.
Date Posted: 2026-06-24 Country: United States of America Location: US-CO-AURORA-S E Centretech Pkwy BLDG S75 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: TS/SCI with Polygraph Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedom and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. We have an exciting opportunity for a Senior. Principal Platform DevSecOps Engineer, supporting one of our premier programs in the business unit where you will be working with a cross-disciplinary team of Platform engineers and Systems Administrators leading the industry in ground systems solutions. This role entails leading the design, development, implementation, integration, and sustainment of a cloud-based compute, network, and storage infrastructure. The position also focuses on platform modernization by incorporating emerging technologies to optimize performance and efficiency. Utilizing DevOps/DevSecOps methodologies, tools, and automation, the role is critical in streamlining processes, enhancing collaboration, and accelerating software release cycles. As part of the team, you will contribute to the development and operational environments of a large-scale program that supports a critical national asset, ensuring its reliability and innovation in line with mission objectives. Note This position will be filled onsite at the RTX Facility in Aurora CO. What You Will Do Platform Development and Optimization: You will Contribute to the architecture, design, integration, and support of platform and infrastructure environments across build, integration & test, and production stages. Focus on ensuring these environments are optimized for performance, reliability, and scalability within cloud-based ecosystems Best Practices and Automation: You will Utilize industry and company best practices to enhance scalability, consistency, and infrastructure efficiency, while reducing deployment time and automating configuration management processes Cross-Team Collaboration: You will Work closely with software engineers, data scientists, and other agile development teams to design and implement resilient and scalable platform solutions Security and Compliance Integration: You will Embed security and compliance measures into the platform, including services like encryption and access management Operational Support: you will Provide ongoing operational support to maintain the stability, functionality, and performance of the platform Qualifications You Must Have Typically requires BS/BA Degree in Science, Technology Engineering Math (STEM) in Computer Science, Computer Engineering, Information Technology or Physics and a minimum 10 years of related work experience Experience in the installation, configuration, and maintenance of RedHat Linux operating systems Experience with automation frameworks such as Terraform, Ansible, and Chef to streamline infrastructure deployment and management Experience programming or scripting languages such as Python and Bash for automation, configuration, and system operations Active and Current TS/SCI with CI Poly security clearance is required on day 1. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Experience designing, implementing, and integrating cloud-based systems on infrastructure platforms like AWS Experience in analyzing performance and troubleshooting applications and infrastructure services on Linux-based operating systems Strong infrastructure background managing and troubleshooting servers, networks, storage, and virtualization technologies DevSecOps Framework: Proficiency in developing, testing, and delivering applications within a DevSecOps framework Experience with cloud platforms, preferably AWS, including designing, deploying, and securing cloud services AWS Services Proficiency: Hands-on experience with AWS services such as EC2, EKS, S3, CloudWatch, IAM, and VPC, with a focus on secure and scalable deployments Proficiency in designing, implementing, and integrating platform infrastructure services using containerization technologies such as Kubernetes, Docker, and/or Podman Hands-on experience in deploying, configuring, and supporting CI/CD pipeline tools such as Jira, Confluence, Jenkins, Artifactory, GitLab and Helm Familiarity with security scanning tools like Nessus COTS/FOSS Products: Experience in installation, configuration, and integration of Commercial Off-The-Shelf (COTS) and Free and Open-Source Software (FOSS) products DoD 8570 IAT Level II Certification: Must meet Department of Defense 8570 Information Assurance Technical (IAT) Level II requirements, such as holding a Security+ CE or equivalent certification. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation Relocation Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products This position requires security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location: Aurora, CO: We are RTX As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class . click apply for full job details
08/06/2026
Full time
Date Posted: 2026-06-24 Country: United States of America Location: US-CO-AURORA-S E Centretech Pkwy BLDG S75 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: TS/SCI with Polygraph Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedom and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. We have an exciting opportunity for a Senior. Principal Platform DevSecOps Engineer, supporting one of our premier programs in the business unit where you will be working with a cross-disciplinary team of Platform engineers and Systems Administrators leading the industry in ground systems solutions. This role entails leading the design, development, implementation, integration, and sustainment of a cloud-based compute, network, and storage infrastructure. The position also focuses on platform modernization by incorporating emerging technologies to optimize performance and efficiency. Utilizing DevOps/DevSecOps methodologies, tools, and automation, the role is critical in streamlining processes, enhancing collaboration, and accelerating software release cycles. As part of the team, you will contribute to the development and operational environments of a large-scale program that supports a critical national asset, ensuring its reliability and innovation in line with mission objectives. Note This position will be filled onsite at the RTX Facility in Aurora CO. What You Will Do Platform Development and Optimization: You will Contribute to the architecture, design, integration, and support of platform and infrastructure environments across build, integration & test, and production stages. Focus on ensuring these environments are optimized for performance, reliability, and scalability within cloud-based ecosystems Best Practices and Automation: You will Utilize industry and company best practices to enhance scalability, consistency, and infrastructure efficiency, while reducing deployment time and automating configuration management processes Cross-Team Collaboration: You will Work closely with software engineers, data scientists, and other agile development teams to design and implement resilient and scalable platform solutions Security and Compliance Integration: You will Embed security and compliance measures into the platform, including services like encryption and access management Operational Support: you will Provide ongoing operational support to maintain the stability, functionality, and performance of the platform Qualifications You Must Have Typically requires BS/BA Degree in Science, Technology Engineering Math (STEM) in Computer Science, Computer Engineering, Information Technology or Physics and a minimum 10 years of related work experience Experience in the installation, configuration, and maintenance of RedHat Linux operating systems Experience with automation frameworks such as Terraform, Ansible, and Chef to streamline infrastructure deployment and management Experience programming or scripting languages such as Python and Bash for automation, configuration, and system operations Active and Current TS/SCI with CI Poly security clearance is required on day 1. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Experience designing, implementing, and integrating cloud-based systems on infrastructure platforms like AWS Experience in analyzing performance and troubleshooting applications and infrastructure services on Linux-based operating systems Strong infrastructure background managing and troubleshooting servers, networks, storage, and virtualization technologies DevSecOps Framework: Proficiency in developing, testing, and delivering applications within a DevSecOps framework Experience with cloud platforms, preferably AWS, including designing, deploying, and securing cloud services AWS Services Proficiency: Hands-on experience with AWS services such as EC2, EKS, S3, CloudWatch, IAM, and VPC, with a focus on secure and scalable deployments Proficiency in designing, implementing, and integrating platform infrastructure services using containerization technologies such as Kubernetes, Docker, and/or Podman Hands-on experience in deploying, configuring, and supporting CI/CD pipeline tools such as Jira, Confluence, Jenkins, Artifactory, GitLab and Helm Familiarity with security scanning tools like Nessus COTS/FOSS Products: Experience in installation, configuration, and integration of Commercial Off-The-Shelf (COTS) and Free and Open-Source Software (FOSS) products DoD 8570 IAT Level II Certification: Must meet Department of Defense 8570 Information Assurance Technical (IAT) Level II requirements, such as holding a Security+ CE or equivalent certification. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation Relocation Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products This position requires security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location: Aurora, CO: We are RTX As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class . click apply for full job details
Amazon is seeking a Sr. Applied Scientist to join the Fauna team within our Retail organization. You will design and deploy ML models that understand and predict customer behavior across Amazon's vast catalog, powering personalization, search quality, and new retail experiences. In this role, you'll own the full science lifecycle from problem framing and data exploration to model training, experimentation, and production deployment at global scale. You'll partner with product, engineering, and business leaders, influencing strategy with rigorous data insights in a fast-paced, customer-obsessed environment.
08/05/2026
Full time
Amazon is seeking a Sr. Applied Scientist to join the Fauna team within our Retail organization. You will design and deploy ML models that understand and predict customer behavior across Amazon's vast catalog, powering personalization, search quality, and new retail experiences. In this role, you'll own the full science lifecycle from problem framing and data exploration to model training, experimentation, and production deployment at global scale. You'll partner with product, engineering, and business leaders, influencing strategy with rigorous data insights in a fast-paced, customer-obsessed environment.
Vantor seeks a GIS DevOps Engineer to design, automate, and operate scalable GIS/AI platforms in our IT department. You'll build CI/CD pipelines, manage cloud-native ArcGIS services, and optimize data workflows supporting AI-driven analytics. Partnering with data scientists and engineers, you'll implement infrastructure-as-code, monitoring, and security best practices. In Vantor's culture of innovation and learning, you'll drive reliable releases, performance tuning, and rapid experimentation to power location intelligence for our clients' digital transformation initiatives.
08/04/2026
Full time
Vantor seeks a GIS DevOps Engineer to design, automate, and operate scalable GIS/AI platforms in our IT department. You'll build CI/CD pipelines, manage cloud-native ArcGIS services, and optimize data workflows supporting AI-driven analytics. Partnering with data scientists and engineers, you'll implement infrastructure-as-code, monitoring, and security best practices. In Vantor's culture of innovation and learning, you'll drive reliable releases, performance tuning, and rapid experimentation to power location intelligence for our clients' digital transformation initiatives.
MANTECH seeks a motivated, career and customer-oriented Senior GEOINT Data Scientist to join our team in Springfield, VA! The Senior GEOINT Data Scientist will leverage their strong technical background and knowledge to support critical data environments, to include creating streamlined processes, evaluating unique datasets, and solving challenging intelligence issues. Responsibilities include but are not limited to: Working with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues Leading and participating in the design of solutions and refinement of pre-existing processes Working with Program Managers and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks Using exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data Researching and implementing optimization models, strategies, and methods to inform data management activities and analysis Applying big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments Minimum Qualifications: High School Diploma/GED with 10+ years of progressively responsible experience in GEOINT analysis, intelligence analysis, or a related technical field Education/Training Substitutions: Associate's degree may substitute for 2 years of experience. Bachelor's degree may substitute for 3 years of experience. Master's degree may substitute for 2 years of experience. PhD may substitute for 3 years of experience. Professional certifications may substitute for up to 6 months of experience. Significant experience supporting IC operations, possessing expert level knowledge to manipulate and analyze structured/ unstructured data Demonstrated experience in data mining and developing/maintaining/manipulating databases Demonstrated experience in identifying potential systems enhancements, new capabilities, concept demonstrators, and capability business cases Demonstrated experience using GOTS data processing and analytics capabilities to modernize analytic methodologies Demonstrated experience in directing activities of highly skilled technical and analytical teams responsible for developing solutions to highly complex analytical/intelligence problems Experienced in conducting multi-INT and technology specific research to support mission operations Preferred Qualifications: Possess Master's degree in Data Science or related technical field with experience developing and working with Artificial Intelligence and Machine Learning (AI/ML) Demonstrated experience of advanced programming techniques, using one or more of the following: HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, Geospatial Analysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS Experience using .NET, Python, C++, and/or JAVA programming for web interface development and geodatabase development Experience building and maintaining databases of GEOINT, SIGINT, or OSINT data related to the area of interest needs Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data that assist the analytical workforce in generating common operational pictures depicting fused intelligence and information to support informal assessments and finished products Clearance Required: An active TS/SCI with the ability to obtain & maintain a Polygraph Physical Requirements: Must be able to remain in a stationary position 50%. Needs to occasionally move about inside the office to access file cabinets, office machinery, etc. Frequently communicates with co-workers, management, and senior personnel, which may involve delivering presentations. Must be able to exchange accurate information in these situations.
08/04/2026
Full time
MANTECH seeks a motivated, career and customer-oriented Senior GEOINT Data Scientist to join our team in Springfield, VA! The Senior GEOINT Data Scientist will leverage their strong technical background and knowledge to support critical data environments, to include creating streamlined processes, evaluating unique datasets, and solving challenging intelligence issues. Responsibilities include but are not limited to: Working with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues Leading and participating in the design of solutions and refinement of pre-existing processes Working with Program Managers and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks Using exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data Researching and implementing optimization models, strategies, and methods to inform data management activities and analysis Applying big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments Minimum Qualifications: High School Diploma/GED with 10+ years of progressively responsible experience in GEOINT analysis, intelligence analysis, or a related technical field Education/Training Substitutions: Associate's degree may substitute for 2 years of experience. Bachelor's degree may substitute for 3 years of experience. Master's degree may substitute for 2 years of experience. PhD may substitute for 3 years of experience. Professional certifications may substitute for up to 6 months of experience. Significant experience supporting IC operations, possessing expert level knowledge to manipulate and analyze structured/ unstructured data Demonstrated experience in data mining and developing/maintaining/manipulating databases Demonstrated experience in identifying potential systems enhancements, new capabilities, concept demonstrators, and capability business cases Demonstrated experience using GOTS data processing and analytics capabilities to modernize analytic methodologies Demonstrated experience in directing activities of highly skilled technical and analytical teams responsible for developing solutions to highly complex analytical/intelligence problems Experienced in conducting multi-INT and technology specific research to support mission operations Preferred Qualifications: Possess Master's degree in Data Science or related technical field with experience developing and working with Artificial Intelligence and Machine Learning (AI/ML) Demonstrated experience of advanced programming techniques, using one or more of the following: HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, Geospatial Analysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS Experience using .NET, Python, C++, and/or JAVA programming for web interface development and geodatabase development Experience building and maintaining databases of GEOINT, SIGINT, or OSINT data related to the area of interest needs Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data that assist the analytical workforce in generating common operational pictures depicting fused intelligence and information to support informal assessments and finished products Clearance Required: An active TS/SCI with the ability to obtain & maintain a Polygraph Physical Requirements: Must be able to remain in a stationary position 50%. Needs to occasionally move about inside the office to access file cabinets, office machinery, etc. Frequently communicates with co-workers, management, and senior personnel, which may involve delivering presentations. Must be able to exchange accurate information in these situations.
GIS & Data Specialist 1 Montgomery & Associates (M&A) is seeking a GIS & Data Specialist to join our growing team at our Tucson, Arizona, headquarters. This position will provide general, entry-level technical support to hydrologic projects, as well as assist with GIS data production and project deliverables including data compilation, data management and editing, data analysis, quality assurance, and cartographic services, which will be a priority. The GIS & Data Specialist 1 will also be part of an active team responsible for the implementation of web-based data applications and database management related to the company's custom data management system. This position is intended to be full-time, with flexibility that may allow for a reduced work week. We encourage you to apply if you have experience with ESRI's ArcGIS software products-including ArcGIS Pro-and online mapping and data collection applications. We're looking for a self-motivated professional capable of implementing existing cartographic styles, data management schemas, and workflows, as well as developing new solutions independently as needed to meet project needs. Responsibilities Specific responsibilities include: Develop report-quality maps in ArcGIS Pro and other data plots, using company style guidelines Create and manage geospatial datasets, geodatabases, and relational databases Coordinate with project teams regarding GIS requirements and deliverables Conduct geospatial data analysis for projects Provide support for M&A's custom data management system, including data entry and data management for projects Support mobile data collection activities using Esri field applications (Field Maps, Survey123) Create and maintain web-based maps and applications using ArcGIS Online and customized applications Use artistic judgment to select appropriate design and layout for each illustration Perform other related duties as assigned Qualifications Ability to render illustrations for client-facing deliverables Ability to accurately and consistently complete work on schedule and with minimal supervision Ability to communicate and function in a fast paced, team-oriented environment Sufficient understanding of science to successfully create illustrations related to groundwater hydrology Excellent interpersonal and organizational skills Good analytical and problem-solving skills Academic degree in GIS, computer science, or related discipline Fundamental knowledge of the principles, methods, and practical application of ESRI's ArcGIS software-including ArcGIS Pro-general geoprocessing functionality, geodatabases, and coordinate systems Good practical understanding of data management in relational and geospatial databases At M&A, our mission is to promote a fulfilling and respectful work culture where employees collaborate to deliver pragmatic water resource solutions grounded in the principles of integrity, scientific rigor, and environmental responsibility. We are independently owned by practicing scientists who are committed to these values and to supporting our community partners. Benefits include: Competitive benefits and salary in an expanding team-oriented company Dynamic work environment with technical training provided by the company Challenging and collaborative multidisciplinary projects On the job mentoring by senior professionals Medical, dental, vision insurance, flexible Spending Account, HRA Long- and short-term disability Life/AD&D insurance Vacation, holiday, personal, and sick leave Paid parental leave Employer matching 401k retirement plan We are an Equal Opportunity Employer. M&A values diversity and inclusivity. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, gender, gender identity, gender expression, age, sexual orientation, religious creed, physical or mental disability, medical condition, genetic information, marital status, veteran status, or any other classification protected by applicable federal, state, or local law. PI5b36c5-
08/03/2026
Full time
GIS & Data Specialist 1 Montgomery & Associates (M&A) is seeking a GIS & Data Specialist to join our growing team at our Tucson, Arizona, headquarters. This position will provide general, entry-level technical support to hydrologic projects, as well as assist with GIS data production and project deliverables including data compilation, data management and editing, data analysis, quality assurance, and cartographic services, which will be a priority. The GIS & Data Specialist 1 will also be part of an active team responsible for the implementation of web-based data applications and database management related to the company's custom data management system. This position is intended to be full-time, with flexibility that may allow for a reduced work week. We encourage you to apply if you have experience with ESRI's ArcGIS software products-including ArcGIS Pro-and online mapping and data collection applications. We're looking for a self-motivated professional capable of implementing existing cartographic styles, data management schemas, and workflows, as well as developing new solutions independently as needed to meet project needs. Responsibilities Specific responsibilities include: Develop report-quality maps in ArcGIS Pro and other data plots, using company style guidelines Create and manage geospatial datasets, geodatabases, and relational databases Coordinate with project teams regarding GIS requirements and deliverables Conduct geospatial data analysis for projects Provide support for M&A's custom data management system, including data entry and data management for projects Support mobile data collection activities using Esri field applications (Field Maps, Survey123) Create and maintain web-based maps and applications using ArcGIS Online and customized applications Use artistic judgment to select appropriate design and layout for each illustration Perform other related duties as assigned Qualifications Ability to render illustrations for client-facing deliverables Ability to accurately and consistently complete work on schedule and with minimal supervision Ability to communicate and function in a fast paced, team-oriented environment Sufficient understanding of science to successfully create illustrations related to groundwater hydrology Excellent interpersonal and organizational skills Good analytical and problem-solving skills Academic degree in GIS, computer science, or related discipline Fundamental knowledge of the principles, methods, and practical application of ESRI's ArcGIS software-including ArcGIS Pro-general geoprocessing functionality, geodatabases, and coordinate systems Good practical understanding of data management in relational and geospatial databases At M&A, our mission is to promote a fulfilling and respectful work culture where employees collaborate to deliver pragmatic water resource solutions grounded in the principles of integrity, scientific rigor, and environmental responsibility. We are independently owned by practicing scientists who are committed to these values and to supporting our community partners. Benefits include: Competitive benefits and salary in an expanding team-oriented company Dynamic work environment with technical training provided by the company Challenging and collaborative multidisciplinary projects On the job mentoring by senior professionals Medical, dental, vision insurance, flexible Spending Account, HRA Long- and short-term disability Life/AD&D insurance Vacation, holiday, personal, and sick leave Paid parental leave Employer matching 401k retirement plan We are an Equal Opportunity Employer. M&A values diversity and inclusivity. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, gender, gender identity, gender expression, age, sexual orientation, religious creed, physical or mental disability, medical condition, genetic information, marital status, veteran status, or any other classification protected by applicable federal, state, or local law. PI5b36c5-
National Radio Astronomy Observatory
Green Bank, West Virginia
The National Radio Astronomy Observatory seeks a Head of Software Engineering to lead the teams building and operating the software powering world-class radio telescopes. In this role, you will define technical strategy and architecture for observatory control systems, data pipelines, and scientific platforms used by astronomers worldwide. You will manage and mentor a diverse engineering organization, champion modern DevOps and quality practices, and collaborate closely with scientists, data experts, and operations. This position offers the opportunity to shape mission-critical systems in a collaborative, research-driven, and innovation-focused environment supporting groundbreaking discoveries in astronomy and astrophysics.
08/03/2026
Full time
The National Radio Astronomy Observatory seeks a Head of Software Engineering to lead the teams building and operating the software powering world-class radio telescopes. In this role, you will define technical strategy and architecture for observatory control systems, data pipelines, and scientific platforms used by astronomers worldwide. You will manage and mentor a diverse engineering organization, champion modern DevOps and quality practices, and collaborate closely with scientists, data experts, and operations. This position offers the opportunity to shape mission-critical systems in a collaborative, research-driven, and innovation-focused environment supporting groundbreaking discoveries in astronomy and astrophysics.
National Radio Astronomy Observatory
Albuquerque, New Mexico
The National Radio Astronomy Observatory (NRAO) seeks a Software Engineer III to develop and maintain scientific and data-intensive software supporting world-class radio telescopes. In this role, you will design, implement, and optimize applications and services that power astronomical observations, data processing pipelines, and control systems in a complex, distributed environment. Collaborating with scientists, engineers, and IT professionals, you will translate research and operational needs into robust, scalable solutions. NRAO offers a collaborative, mission-driven culture, cutting-edge technologies, and exceptional opportunities for professional growth in astronomy, telecommunications, and scientific computing.
08/02/2026
Full time
The National Radio Astronomy Observatory (NRAO) seeks a Software Engineer III to develop and maintain scientific and data-intensive software supporting world-class radio telescopes. In this role, you will design, implement, and optimize applications and services that power astronomical observations, data processing pipelines, and control systems in a complex, distributed environment. Collaborating with scientists, engineers, and IT professionals, you will translate research and operational needs into robust, scalable solutions. NRAO offers a collaborative, mission-driven culture, cutting-edge technologies, and exceptional opportunities for professional growth in astronomy, telecommunications, and scientific computing.
National Radio Astronomy Observatory
Charlottesville, Virginia
The National Radio Astronomy Observatory (NRAO) seeks an Agile Product Owner to guide IT and digital solutions that power cutting-edge radio astronomy research. In this role, you will collaborate with scientists, engineers, and developers to translate complex research needs into clear product roadmaps, backlogs, and user stories. You will prioritize features, coordinate Agile delivery, and ensure tools meaningfully support data-intensive scientific discovery. NRAO offers a collaborative, learning-focused culture at the forefront of global radio astronomy and atmospheric studies.
08/02/2026
Full time
The National Radio Astronomy Observatory (NRAO) seeks an Agile Product Owner to guide IT and digital solutions that power cutting-edge radio astronomy research. In this role, you will collaborate with scientists, engineers, and developers to translate complex research needs into clear product roadmaps, backlogs, and user stories. You will prioritize features, coordinate Agile delivery, and ensure tools meaningfully support data-intensive scientific discovery. NRAO offers a collaborative, learning-focused culture at the forefront of global radio astronomy and atmospheric studies.
National Radio Astronomy Observatory
Charlottesville, Virginia
The National Radio Astronomy Observatory seeks a Systems Engineer II-III to design, implement, and support reliable computing and network systems for world-class radio telescopes. In this role, you will architect, deploy, and maintain Linux-based servers, storage, and networking that underpin astronomical data acquisition, processing, and scientific computing. You will collaborate closely with scientists and engineers to ensure system performance, security, and availability, automate infrastructure, document designs, and contribute to continuous improvement in a highly collaborative, research-focused environment.
08/02/2026
Full time
The National Radio Astronomy Observatory seeks a Systems Engineer II-III to design, implement, and support reliable computing and network systems for world-class radio telescopes. In this role, you will architect, deploy, and maintain Linux-based servers, storage, and networking that underpin astronomical data acquisition, processing, and scientific computing. You will collaborate closely with scientists and engineers to ensure system performance, security, and availability, automate infrastructure, document designs, and contribute to continuous improvement in a highly collaborative, research-focused environment.
CarShield is seeking a Data Engineer to build and maintain data pipelines that power analytics and decision-making across our finance and insurance operations. You will design and optimize ETL/ELT workflows from internal systems and third-party sources, develop and manage data warehouses/lakes, and ensure data quality, reliability, and security. Partner with analysts, data scientists, and business stakeholders to model data that supports pricing, risk, claims, and customer insights. This role suits someone who thrives in a fast-paced, customer-focused environment and enjoys solving complex data challenges to drive measurable business impact.
08/01/2026
Full time
CarShield is seeking a Data Engineer to build and maintain data pipelines that power analytics and decision-making across our finance and insurance operations. You will design and optimize ETL/ELT workflows from internal systems and third-party sources, develop and manage data warehouses/lakes, and ensure data quality, reliability, and security. Partner with analysts, data scientists, and business stakeholders to model data that supports pricing, risk, claims, and customer insights. This role suits someone who thrives in a fast-paced, customer-focused environment and enjoys solving complex data challenges to drive measurable business impact.
National Radio Astronomy Observatory
Green Bank, West Virginia
The National Radio Astronomy Observatory (NRAO) seeks a Software Engineer Group Lead to guide development of common domain software supporting world-class radio telescopes. In this role, you will lead a small team of engineers designing, implementing, and maintaining high-reliability, scalable software for astronomical data processing and observatory operations. You will collaborate closely with scientists, system engineers, and IT staff, set technical direction, review code, and ensure best practices in software architecture, testing, and deployment. This position offers the opportunity to contribute directly to groundbreaking astronomical research in a collaborative, mission-driven environment.
08/01/2026
Full time
The National Radio Astronomy Observatory (NRAO) seeks a Software Engineer Group Lead to guide development of common domain software supporting world-class radio telescopes. In this role, you will lead a small team of engineers designing, implementing, and maintaining high-reliability, scalable software for astronomical data processing and observatory operations. You will collaborate closely with scientists, system engineers, and IT staff, set technical direction, review code, and ensure best practices in software architecture, testing, and deployment. This position offers the opportunity to contribute directly to groundbreaking astronomical research in a collaborative, mission-driven environment.
ManTech International seeks a Senior GEOINT Data Scientist to support critical U.S. national security missions. In this role, you will design and implement advanced geospatial analytics, fusing multi-INT data to deliver actionable insights for defense and intelligence customers. Responsibilities include building ML models, optimizing GEOINT workflows, and developing visualizations and decision-support tools. You will collaborate with mission, cyber, and engineering teams in a mission-focused, highly ethical culture that values innovation, technical excellence, continuous learning, and veteran experience.
08/01/2026
Full time
ManTech International seeks a Senior GEOINT Data Scientist to support critical U.S. national security missions. In this role, you will design and implement advanced geospatial analytics, fusing multi-INT data to deliver actionable insights for defense and intelligence customers. Responsibilities include building ML models, optimizing GEOINT workflows, and developing visualizations and decision-support tools. You will collaborate with mission, cyber, and engineering teams in a mission-focused, highly ethical culture that values innovation, technical excellence, continuous learning, and veteran experience.
Company Description The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions. Originating from the AI research in Silicon Valley, our Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH. We Are Bosch. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry. Let's grow together, enjoy more, and inspire each other. Work Reinvent yourself: At Bosch, you will evolve. Discover new directions: At Bosch, you will find your place. Balance your life: At Bosch, your job matches your lifestyle. Celebrate success: At Bosch, we celebrate you. Be yourself: At Bosch, we value values. Shape tomorrow: At Bosch, you change lives. Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. Job Description Key Responsibilities: Conduct research on GenAI and Foundation models (FM) to address academic and industrial challenges in ADAS AI domain such as 3D reconstruction, world model, map and localization, data curation and auto-labeling, etc. Work with an international team of experts to transfer and apply the Bosch in-house GenAI / FM innovations and 3rd-party solutions to Bosch AI products and services, such as ADAS. Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars. Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions. Document and disseminate research findings through high-caliber publications and/or patent submissions. Qualifications Basic Qualifications Ph.D. in Computer Science or Engineering, or a related discipline or master's degree with 3+ years industry experience (GenAI and/or world model related) after graduation 2+ years of research experience or equivalent graduate research experience on foundation models, including training, fine-tuning, and prompting In-depth experiences in deep learning, with work in at least two of the following areas: diffusion models, 3D reconstruction, world models Proficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands on experience with AI / NLP / CV libraries Publication record in top venues including CVPR, ICCV, ECCV, ICRA, IROS, RSS, NeurIPS, AAAI, ACL, EMNLP, and CoRL Strong interpersonal, communication, and teamwork capabilities Preferred Qualifications Strong background in math and statistics 3+ years experiences in industrial research Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets Experience in leading R&D project & team dealing with international customers Leadership skills with excellent English communication & teamwork skills Additional Information We offer a competitive base salary for this position with a range in US-California of $165,000 - $185,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process. Learn more about our full benefits offerings by visiting: . Equal Opportunity Employer, including disability / veterans. Culture and Benefits Bosch in the USA
08/01/2026
Full time
Company Description The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions. Originating from the AI research in Silicon Valley, our Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH. We Are Bosch. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry. Let's grow together, enjoy more, and inspire each other. Work Reinvent yourself: At Bosch, you will evolve. Discover new directions: At Bosch, you will find your place. Balance your life: At Bosch, your job matches your lifestyle. Celebrate success: At Bosch, we celebrate you. Be yourself: At Bosch, we value values. Shape tomorrow: At Bosch, you change lives. Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. Job Description Key Responsibilities: Conduct research on GenAI and Foundation models (FM) to address academic and industrial challenges in ADAS AI domain such as 3D reconstruction, world model, map and localization, data curation and auto-labeling, etc. Work with an international team of experts to transfer and apply the Bosch in-house GenAI / FM innovations and 3rd-party solutions to Bosch AI products and services, such as ADAS. Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars. Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions. Document and disseminate research findings through high-caliber publications and/or patent submissions. Qualifications Basic Qualifications Ph.D. in Computer Science or Engineering, or a related discipline or master's degree with 3+ years industry experience (GenAI and/or world model related) after graduation 2+ years of research experience or equivalent graduate research experience on foundation models, including training, fine-tuning, and prompting In-depth experiences in deep learning, with work in at least two of the following areas: diffusion models, 3D reconstruction, world models Proficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands on experience with AI / NLP / CV libraries Publication record in top venues including CVPR, ICCV, ECCV, ICRA, IROS, RSS, NeurIPS, AAAI, ACL, EMNLP, and CoRL Strong interpersonal, communication, and teamwork capabilities Preferred Qualifications Strong background in math and statistics 3+ years experiences in industrial research Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets Experience in leading R&D project & team dealing with international customers Leadership skills with excellent English communication & teamwork skills Additional Information We offer a competitive base salary for this position with a range in US-California of $165,000 - $185,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process. Learn more about our full benefits offerings by visiting: . Equal Opportunity Employer, including disability / veterans. Culture and Benefits Bosch in the USA
SimVentions, Inc. (Glassdoor 4.6) seeks an Operations System Analyst to support our Data Science & AI team on Defense & Aerospace programs. In this role, you will analyze operational and system performance data, develop analytics and AI-driven insights, and help optimize mission-critical systems for U.S. defense clients. You will collaborate closely with engineers and data scientists to design models, tools, and dashboards that inform decisions, improve system effectiveness, and support mission success in a highly collaborative, values-driven environment.
07/27/2026
Full time
SimVentions, Inc. (Glassdoor 4.6) seeks an Operations System Analyst to support our Data Science & AI team on Defense & Aerospace programs. In this role, you will analyze operational and system performance data, develop analytics and AI-driven insights, and help optimize mission-critical systems for U.S. defense clients. You will collaborate closely with engineers and data scientists to design models, tools, and dashboards that inform decisions, improve system effectiveness, and support mission success in a highly collaborative, values-driven environment.
SimVentions, Inc - Glassdoor 4.6
Fredericksburg, Virginia
SimVentions, Inc. (Glassdoor 4.6) seeks an Operations System Analyst to support our Data Science & AI team on Defense & Aerospace programs. In this role, you will analyze operational and system performance data, develop analytics and AI-driven insights, and help optimize mission-critical systems for U.S. defense clients. You will collaborate closely with engineers and data scientists to design models, tools, and dashboards that inform decisions, improve system effectiveness, and support mission success in a highly collaborative, values-driven environment.
07/27/2026
Full time
SimVentions, Inc. (Glassdoor 4.6) seeks an Operations System Analyst to support our Data Science & AI team on Defense & Aerospace programs. In this role, you will analyze operational and system performance data, develop analytics and AI-driven insights, and help optimize mission-critical systems for U.S. defense clients. You will collaborate closely with engineers and data scientists to design models, tools, and dashboards that inform decisions, improve system effectiveness, and support mission success in a highly collaborative, values-driven environment.
