Overview Location(s) Alpharetta, Georgia, Birmingham, Alabama, Chicago, Illinois, Dallas, Texas, Downers Grove, Illinois, Jacksonville, Florida Details Kemper is one of the nation's leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper's products and services are making a real difference to our customers, who have unique and evolving needs. By joining our team, you are helping to provide experience to our stakeholders that delivers on our promises. At Kemper, the Senior Software Developer provides technical support for multiple applications and system software technologies within areas of expertise. Holds advanced certifications for coding/development. Owns and resolves complex technical problems and issues with assigned applications and work processes. Responsibilities Provides technical support for multiple applications and system software technologies within areas of expertise. Develops, documents and executes unit test cases. Delivers quality and timely results. Owns and resolves complex technical problems and issues with assigned applications and work processes. Review and recommend test plans for impacted areas and end to end test coverage. Complies with and supports all corporate, department and team policies and procedures. Keeps manager, project teams/managers and business customers informed of activities and problems within assigned areas of responsibility; refers matters beyond limits of authority to manager for direction. Recommend improvements to existing processes or propose new ones, to improve the quality of project deliverables Ensure reviews for quality (accurate and complete) application software designs are scheduled and conducted to ensure optimal use of software systems. Consults with internal and external customers on the utilization of applications computing technologies, within areas of expertise, to ensure that customers optimize the value of those technologies. Leads projects across technical disciplines; plans for the appropriate resources needed. Develop technical knowledge and performance skills of IS projects teams for multiple applications. Researches, evaluates and recommends new technologies independently or with the architect's implementation. Implement and support proof-of-concept activities for new technologies. Develops and obtains sign offs on technical specs, design documents, functional designs and requirements. Guide teams on long term solutions for resolving frequently occurring production problems and reducing defect leakage. Ensure code is being developed per standards with a focus on maintainability and ensure unit test cases are being developed, documented and executed with the test results recorded. Ensure that the technical design presented by the architects is followed by the software development staff. Ensure batch cycles are being executed according to plan and that defects are resolved in an accurate and timely fashion. Lead team in successful completion of phase gates for projects Qualifications 8+ Years of Experience Bachelor's degree, equivalent work experience or appropriate technical certification. Advanced certifications for coding/development Experience in technical disciplines such as Java and Spring Boot and microservices programming Experience in technical disciplines such as Rest, Soap, Angular and AWS Knowledge and experience with Amazon Aurora PostgreSQL Experience with monitoring tools such as Splunk, AppDynamics, and Grafana Demonstrates advanced technical skills. Advanced knowledge of a specific programming language and a good knowledge of related languages. The ability to provide technical leadership on large/complex application installation, development and support projects; Advanced knowledge of program design methods and techniques and standard development tools. Use knowledge of new frameworks, tools and languages and make recommendations in applications as appropriate. Ability to understand and identify improvement areas in architecture and integration designs Ability to teach and provide instruction to co-workers and provide feedback on progress toward goals. Demonstrates excellent leadership qualities in managing the work of a team of professional employees. Experience with cloud development practices Able to follow and create best practice development standards Worked with various project methodologies (agile and waterfall) Able to translate business to technical requirements. Requires minimal managerial direction Understands technical controls, security concepts and SOX requirements Professional experience within Insurance or Financial Services preferred Performs other related duties as assigned. Benefits Kemper is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination. Kemper is focused on expanding our Diversity, Equity and Inclusion efforts to align with our vision, mission, and guiding principles. Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee. Kemper will never request personal information, such as your social security number or banking information, via text or email. Additionally, Kemper does not use external messaging applications like WireApp or Skype to communicate with candidates. If you receive such a message, delete it. Alliance United Insurance Company is not rated. We value diversity and strive to be an employer of choice. An Equal Opportunity Employer, M/F/D/V Our employees enjoy great benefits: Qualify for your choice of health and dental plans within your first month. Save for your future with robust 401(k) match, Health Spending Accounts and various retirement plans. Learn and Grow with our Tuition Assistance Program, paid certifications and continuing education programs. Contribute to your community through United Way and volunteer programs. Balance your life with generous paid time off and business casual dress. Get employee discounts for shopping, dining and travel through Kemper Perks.
04/02/2026
Full time
Overview Location(s) Alpharetta, Georgia, Birmingham, Alabama, Chicago, Illinois, Dallas, Texas, Downers Grove, Illinois, Jacksonville, Florida Details Kemper is one of the nation's leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper's products and services are making a real difference to our customers, who have unique and evolving needs. By joining our team, you are helping to provide experience to our stakeholders that delivers on our promises. At Kemper, the Senior Software Developer provides technical support for multiple applications and system software technologies within areas of expertise. Holds advanced certifications for coding/development. Owns and resolves complex technical problems and issues with assigned applications and work processes. Responsibilities Provides technical support for multiple applications and system software technologies within areas of expertise. Develops, documents and executes unit test cases. Delivers quality and timely results. Owns and resolves complex technical problems and issues with assigned applications and work processes. Review and recommend test plans for impacted areas and end to end test coverage. Complies with and supports all corporate, department and team policies and procedures. Keeps manager, project teams/managers and business customers informed of activities and problems within assigned areas of responsibility; refers matters beyond limits of authority to manager for direction. Recommend improvements to existing processes or propose new ones, to improve the quality of project deliverables Ensure reviews for quality (accurate and complete) application software designs are scheduled and conducted to ensure optimal use of software systems. Consults with internal and external customers on the utilization of applications computing technologies, within areas of expertise, to ensure that customers optimize the value of those technologies. Leads projects across technical disciplines; plans for the appropriate resources needed. Develop technical knowledge and performance skills of IS projects teams for multiple applications. Researches, evaluates and recommends new technologies independently or with the architect's implementation. Implement and support proof-of-concept activities for new technologies. Develops and obtains sign offs on technical specs, design documents, functional designs and requirements. Guide teams on long term solutions for resolving frequently occurring production problems and reducing defect leakage. Ensure code is being developed per standards with a focus on maintainability and ensure unit test cases are being developed, documented and executed with the test results recorded. Ensure that the technical design presented by the architects is followed by the software development staff. Ensure batch cycles are being executed according to plan and that defects are resolved in an accurate and timely fashion. Lead team in successful completion of phase gates for projects Qualifications 8+ Years of Experience Bachelor's degree, equivalent work experience or appropriate technical certification. Advanced certifications for coding/development Experience in technical disciplines such as Java and Spring Boot and microservices programming Experience in technical disciplines such as Rest, Soap, Angular and AWS Knowledge and experience with Amazon Aurora PostgreSQL Experience with monitoring tools such as Splunk, AppDynamics, and Grafana Demonstrates advanced technical skills. Advanced knowledge of a specific programming language and a good knowledge of related languages. The ability to provide technical leadership on large/complex application installation, development and support projects; Advanced knowledge of program design methods and techniques and standard development tools. Use knowledge of new frameworks, tools and languages and make recommendations in applications as appropriate. Ability to understand and identify improvement areas in architecture and integration designs Ability to teach and provide instruction to co-workers and provide feedback on progress toward goals. Demonstrates excellent leadership qualities in managing the work of a team of professional employees. Experience with cloud development practices Able to follow and create best practice development standards Worked with various project methodologies (agile and waterfall) Able to translate business to technical requirements. Requires minimal managerial direction Understands technical controls, security concepts and SOX requirements Professional experience within Insurance or Financial Services preferred Performs other related duties as assigned. Benefits Kemper is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination. Kemper is focused on expanding our Diversity, Equity and Inclusion efforts to align with our vision, mission, and guiding principles. Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee. Kemper will never request personal information, such as your social security number or banking information, via text or email. Additionally, Kemper does not use external messaging applications like WireApp or Skype to communicate with candidates. If you receive such a message, delete it. Alliance United Insurance Company is not rated. We value diversity and strive to be an employer of choice. An Equal Opportunity Employer, M/F/D/V Our employees enjoy great benefits: Qualify for your choice of health and dental plans within your first month. Save for your future with robust 401(k) match, Health Spending Accounts and various retirement plans. Learn and Grow with our Tuition Assistance Program, paid certifications and continuing education programs. Contribute to your community through United Way and volunteer programs. Balance your life with generous paid time off and business casual dress. Get employee discounts for shopping, dining and travel through Kemper Perks.
Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead for its next generation of deep research agents for the Enterprise. This high impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable production systems that enhance enterprise operations, analytics, and core efficiency. Responsibilities Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI's overall AI strategy and business goals. Drive Breakthrough Research to Production: Lead the end to end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities. Advanced Knowledge Retrieval: Architect and implement state of the art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises. Data Analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas. Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base. Architecture & Design: Design and champion highly scalable, reliable, and low latency infrastructure and frameworks for building, orchestrating, and evaluating multi agent systems at enterprise scale. Technical Excellence: Serve as the technical authority for the team, leading design reviews, defining ML engineering best practices, and ensuring code quality, security, and operational excellence for all agent systems. Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth. Recruiting & Growth: Partner with management to hire, onboard, and grow top tier talent, helping to shape the long term structure and capabilities of the team. Cross Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high level business problems into concrete, executable technical specifications and impactful agent solutions. Basic Qualifications Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience. 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment. 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain. Deep expertise in Generative AI and Large Language Models (LLMs). Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale. Experience with large scale distributed systems and real time data processing. Preferred Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field. Demonstrated experience designing and deploying production grade Text to SQL systems, including handling complex schema linking and query optimization. Practical experience with Multimodal AI, specifically integrating OCR and vision language models for document intelligence and structured data extraction from images/forms. Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems. Experience with vector databases and advanced retrieval techniques. A track record of publishing research papers in top tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD). Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers. Experience driving cross team technical initiatives that have delivered significant business impact. Compensation Base salary range for this full time position in San Francisco, New York, and Seattle: $252,000 - $315,000 USD. About Scale AI At Scale AI we develop reliable AI systems for the world's most important decisions. Our products provide high quality data and full stack technologies that power leading models and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders and are expanding our team to accelerate the development of AI applications. Equality, Diversity, and Inclusion We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or veteran status. We will provide reasonable accommodations to applicants with physical and mental disabilities. All qualified applicants will receive consideration for employment without regard to any protected status.
04/02/2026
Full time
Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead for its next generation of deep research agents for the Enterprise. This high impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable production systems that enhance enterprise operations, analytics, and core efficiency. Responsibilities Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI's overall AI strategy and business goals. Drive Breakthrough Research to Production: Lead the end to end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities. Advanced Knowledge Retrieval: Architect and implement state of the art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises. Data Analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas. Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base. Architecture & Design: Design and champion highly scalable, reliable, and low latency infrastructure and frameworks for building, orchestrating, and evaluating multi agent systems at enterprise scale. Technical Excellence: Serve as the technical authority for the team, leading design reviews, defining ML engineering best practices, and ensuring code quality, security, and operational excellence for all agent systems. Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth. Recruiting & Growth: Partner with management to hire, onboard, and grow top tier talent, helping to shape the long term structure and capabilities of the team. Cross Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high level business problems into concrete, executable technical specifications and impactful agent solutions. Basic Qualifications Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience. 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment. 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain. Deep expertise in Generative AI and Large Language Models (LLMs). Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale. Experience with large scale distributed systems and real time data processing. Preferred Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field. Demonstrated experience designing and deploying production grade Text to SQL systems, including handling complex schema linking and query optimization. Practical experience with Multimodal AI, specifically integrating OCR and vision language models for document intelligence and structured data extraction from images/forms. Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems. Experience with vector databases and advanced retrieval techniques. A track record of publishing research papers in top tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD). Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers. Experience driving cross team technical initiatives that have delivered significant business impact. Compensation Base salary range for this full time position in San Francisco, New York, and Seattle: $252,000 - $315,000 USD. About Scale AI At Scale AI we develop reliable AI systems for the world's most important decisions. Our products provide high quality data and full stack technologies that power leading models and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders and are expanding our team to accelerate the development of AI applications. Equality, Diversity, and Inclusion We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or veteran status. We will provide reasonable accommodations to applicants with physical and mental disabilities. All qualified applicants will receive consideration for employment without regard to any protected status.
Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead for its next generation of deep research agents for the Enterprise. This high impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable production systems that enhance enterprise operations, analytics, and core efficiency. Responsibilities Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI's overall AI strategy and business goals. Drive Breakthrough Research to Production: Lead the end to end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities. Advanced Knowledge Retrieval: Architect and implement state of the art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises. Data Analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas. Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base. Architecture & Design: Design and champion highly scalable, reliable, and low latency infrastructure and frameworks for building, orchestrating, and evaluating multi agent systems at enterprise scale. Technical Excellence: Serve as the technical authority for the team, leading design reviews, defining ML engineering best practices, and ensuring code quality, security, and operational excellence for all agent systems. Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth. Recruiting & Growth: Partner with management to hire, onboard, and grow top tier talent, helping to shape the long term structure and capabilities of the team. Cross Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high level business problems into concrete, executable technical specifications and impactful agent solutions. Basic Qualifications Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience. 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment. 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain. Deep expertise in Generative AI and Large Language Models (LLMs). Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale. Experience with large scale distributed systems and real time data processing. Preferred Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field. Demonstrated experience designing and deploying production grade Text to SQL systems, including handling complex schema linking and query optimization. Practical experience with Multimodal AI, specifically integrating OCR and vision language models for document intelligence and structured data extraction from images/forms. Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems. Experience with vector databases and advanced retrieval techniques. A track record of publishing research papers in top tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD). Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers. Experience driving cross team technical initiatives that have delivered significant business impact. Compensation Base salary range for this full time position in San Francisco, New York, and Seattle: $252,000 - $315,000 USD. About Scale AI At Scale AI we develop reliable AI systems for the world's most important decisions. Our products provide high quality data and full stack technologies that power leading models and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders and are expanding our team to accelerate the development of AI applications. Equality, Diversity, and Inclusion We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or veteran status. We will provide reasonable accommodations to applicants with physical and mental disabilities. All qualified applicants will receive consideration for employment without regard to any protected status.
04/02/2026
Full time
Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead for its next generation of deep research agents for the Enterprise. This high impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable production systems that enhance enterprise operations, analytics, and core efficiency. Responsibilities Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI's overall AI strategy and business goals. Drive Breakthrough Research to Production: Lead the end to end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities. Advanced Knowledge Retrieval: Architect and implement state of the art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises. Data Analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas. Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base. Architecture & Design: Design and champion highly scalable, reliable, and low latency infrastructure and frameworks for building, orchestrating, and evaluating multi agent systems at enterprise scale. Technical Excellence: Serve as the technical authority for the team, leading design reviews, defining ML engineering best practices, and ensuring code quality, security, and operational excellence for all agent systems. Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth. Recruiting & Growth: Partner with management to hire, onboard, and grow top tier talent, helping to shape the long term structure and capabilities of the team. Cross Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high level business problems into concrete, executable technical specifications and impactful agent solutions. Basic Qualifications Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience. 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment. 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain. Deep expertise in Generative AI and Large Language Models (LLMs). Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale. Experience with large scale distributed systems and real time data processing. Preferred Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field. Demonstrated experience designing and deploying production grade Text to SQL systems, including handling complex schema linking and query optimization. Practical experience with Multimodal AI, specifically integrating OCR and vision language models for document intelligence and structured data extraction from images/forms. Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems. Experience with vector databases and advanced retrieval techniques. A track record of publishing research papers in top tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD). Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers. Experience driving cross team technical initiatives that have delivered significant business impact. Compensation Base salary range for this full time position in San Francisco, New York, and Seattle: $252,000 - $315,000 USD. About Scale AI At Scale AI we develop reliable AI systems for the world's most important decisions. Our products provide high quality data and full stack technologies that power leading models and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders and are expanding our team to accelerate the development of AI applications. Equality, Diversity, and Inclusion We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or veteran status. We will provide reasonable accommodations to applicants with physical and mental disabilities. All qualified applicants will receive consideration for employment without regard to any protected status.
Our client, a leading technology organization, is seeking a Google EDP & Sales Tool Engineer to join their dynamic team. As a Google EDP & Sales Tool Engineer, you will be an integral part of the engineering department supporting innovative sales and data processing solutions. The ideal candidate will demonstrate strong problem-solving skills, adaptability, and a proactive mindset, which will enable you to thrive within this forward-thinking organization. Job Title: Google EDP & Sales Tool Engineer Location: San Francisco, California (Onsite) Pay Range: $50-55/HR ON W2 What's the Job? Design, develop, and maintain scalable data pipelines using technologies such as Apache Beam or Spark. Collaborate with cross-functional teams to implement monitoring and debugging solutions for production environments. Optimize batch data processing workflows to ensure efficiency and reliability. Contribute to the enhancement of internal tools supporting sales and data analytics. Stay current with industry best practices and continuously improve technical skills and processes. What's Needed? 5+ years of experience with Kotlin (preferably), Java, or Scala, with a strong willingness to learn Kotlin. Proven experience with production monitoring and debugging in complex systems. Hands-on experience with batch data processing and data pipeline technologies such as Apache Beam or Spark. Proficiency in SQL and data querying techniques. Previous experience working with Google's internal infrastructure is a plus. What's in it for me? Opportunity to work on cutting-edge data processing and sales tools in a collaborative environment. Engage with innovative projects that impact large-scale operations and decision-making. Develop your skills in a supportive and inclusive workplace culture. Be part of a company recognized for diversity and ethical standards. Competitive pay and comprehensive benefits package. Upon completion of waiting period, consultants are eligible for: Medical and Prescription Drug Plans Dental Plan Vision Plan Health Savings Account Health Flexible Spending Account Dependent Care Flexible Spending Account Supplemental Life Insurance Short Term and Long Term Disability Insurance Business Travel Insurance 401(k), Plus Match Weekly Pay If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you! About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells. ManpowerGroup (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands - Manpower, Experis, Talent Solutions, and Jefferson Wells - creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.
04/02/2026
Full time
Our client, a leading technology organization, is seeking a Google EDP & Sales Tool Engineer to join their dynamic team. As a Google EDP & Sales Tool Engineer, you will be an integral part of the engineering department supporting innovative sales and data processing solutions. The ideal candidate will demonstrate strong problem-solving skills, adaptability, and a proactive mindset, which will enable you to thrive within this forward-thinking organization. Job Title: Google EDP & Sales Tool Engineer Location: San Francisco, California (Onsite) Pay Range: $50-55/HR ON W2 What's the Job? Design, develop, and maintain scalable data pipelines using technologies such as Apache Beam or Spark. Collaborate with cross-functional teams to implement monitoring and debugging solutions for production environments. Optimize batch data processing workflows to ensure efficiency and reliability. Contribute to the enhancement of internal tools supporting sales and data analytics. Stay current with industry best practices and continuously improve technical skills and processes. What's Needed? 5+ years of experience with Kotlin (preferably), Java, or Scala, with a strong willingness to learn Kotlin. Proven experience with production monitoring and debugging in complex systems. Hands-on experience with batch data processing and data pipeline technologies such as Apache Beam or Spark. Proficiency in SQL and data querying techniques. Previous experience working with Google's internal infrastructure is a plus. What's in it for me? Opportunity to work on cutting-edge data processing and sales tools in a collaborative environment. Engage with innovative projects that impact large-scale operations and decision-making. Develop your skills in a supportive and inclusive workplace culture. Be part of a company recognized for diversity and ethical standards. Competitive pay and comprehensive benefits package. Upon completion of waiting period, consultants are eligible for: Medical and Prescription Drug Plans Dental Plan Vision Plan Health Savings Account Health Flexible Spending Account Dependent Care Flexible Spending Account Supplemental Life Insurance Short Term and Long Term Disability Insurance Business Travel Insurance 401(k), Plus Match Weekly Pay If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you! About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells. ManpowerGroup (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands - Manpower, Experis, Talent Solutions, and Jefferson Wells - creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.
ManpowerGroup Global, Inc.
San Francisco, California
Our client, a leading technology organization, is seeking a Google EDP & Sales Tool Engineer to join their dynamic team. As a Google EDP & Sales Tool Engineer, you will be an integral part of the engineering department supporting innovative sales and data processing solutions. The ideal candidate will demonstrate strong problem-solving skills, adaptability, and a proactive mindset, which will enable you to thrive within this forward-thinking organization. Job Title: Google EDP & Sales Tool Engineer Location: San Francisco, California (Onsite) Pay Range: $50-55/HR ON W2 What's the Job? Design, develop, and maintain scalable data pipelines using technologies such as Apache Beam or Spark. Collaborate with cross-functional teams to implement monitoring and debugging solutions for production environments. Optimize batch data processing workflows to ensure efficiency and reliability. Contribute to the enhancement of internal tools supporting sales and data analytics. Stay current with industry best practices and continuously improve technical skills and processes. What's Needed? 5+ years of experience with Kotlin (preferably), Java, or Scala, with a strong willingness to learn Kotlin. Proven experience with production monitoring and debugging in complex systems. Hands-on experience with batch data processing and data pipeline technologies such as Apache Beam or Spark. Proficiency in SQL and data querying techniques. Previous experience working with Google's internal infrastructure is a plus. What's in it for me? Opportunity to work on cutting-edge data processing and sales tools in a collaborative environment. Engage with innovative projects that impact large-scale operations and decision-making. Develop your skills in a supportive and inclusive workplace culture. Be part of a company recognized for diversity and ethical standards. Competitive pay and comprehensive benefits package. Upon completion of waiting period, consultants are eligible for: Medical and Prescription Drug Plans Dental Plan Vision Plan Health Savings Account Health Flexible Spending Account Dependent Care Flexible Spending Account Supplemental Life Insurance Short Term and Long Term Disability Insurance Business Travel Insurance 401(k), Plus Match Weekly Pay If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you! About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells. ManpowerGroup (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands - Manpower, Experis, Talent Solutions, and Jefferson Wells - creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.
04/02/2026
Full time
Our client, a leading technology organization, is seeking a Google EDP & Sales Tool Engineer to join their dynamic team. As a Google EDP & Sales Tool Engineer, you will be an integral part of the engineering department supporting innovative sales and data processing solutions. The ideal candidate will demonstrate strong problem-solving skills, adaptability, and a proactive mindset, which will enable you to thrive within this forward-thinking organization. Job Title: Google EDP & Sales Tool Engineer Location: San Francisco, California (Onsite) Pay Range: $50-55/HR ON W2 What's the Job? Design, develop, and maintain scalable data pipelines using technologies such as Apache Beam or Spark. Collaborate with cross-functional teams to implement monitoring and debugging solutions for production environments. Optimize batch data processing workflows to ensure efficiency and reliability. Contribute to the enhancement of internal tools supporting sales and data analytics. Stay current with industry best practices and continuously improve technical skills and processes. What's Needed? 5+ years of experience with Kotlin (preferably), Java, or Scala, with a strong willingness to learn Kotlin. Proven experience with production monitoring and debugging in complex systems. Hands-on experience with batch data processing and data pipeline technologies such as Apache Beam or Spark. Proficiency in SQL and data querying techniques. Previous experience working with Google's internal infrastructure is a plus. What's in it for me? Opportunity to work on cutting-edge data processing and sales tools in a collaborative environment. Engage with innovative projects that impact large-scale operations and decision-making. Develop your skills in a supportive and inclusive workplace culture. Be part of a company recognized for diversity and ethical standards. Competitive pay and comprehensive benefits package. Upon completion of waiting period, consultants are eligible for: Medical and Prescription Drug Plans Dental Plan Vision Plan Health Savings Account Health Flexible Spending Account Dependent Care Flexible Spending Account Supplemental Life Insurance Short Term and Long Term Disability Insurance Business Travel Insurance 401(k), Plus Match Weekly Pay If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you! About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells. ManpowerGroup (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands - Manpower, Experis, Talent Solutions, and Jefferson Wells - creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.
King River Capital Group
San Francisco, California
We are searching for a Machine Learning Engineer to help us build upon the intelligence and capabilities of our robots and the machine learning systems that power them. Our products combine state-of-the-art perception algorithms and adaptive decision-making abilities with sophisticated control algorithms to endow industrial robots with the autonomy needed to perform efficiently at scale in several industrial applications. As a Machine Learning Engineer, you will work closely with our robotics, deployment, and sales teams to identify customer needs and conceptualize and build out machine learning solutions to those needs. You will also be responsible for monitoring, training, and validating performance of our deep learning models. We value candidates who are passionate about what they build, feel a strong sense of ownership over their work, and love being continually challenged. Our ideal candidates are those who care deeply about their team and demonstrate both directness and integrity. Examples of the work you will be doing Building product features, data pipelines, and tooling for visualizing and understanding machine learning models Creating and adapting SOTA model architectures in Tensorflow or PyTorch to solve unique, high-value problems Applying best practices in data science to help the team draw actionable conclusions from our data and performance results Working with our machine learning team to automate, manage, and validate our data collection pipelines and processes Collecting, organizing, and presenting performance results to stakeholders Technologies you will work with Python Rust Google Cloud Platform (BigQuery, Cloud Spanner, & Cloud Storage) Airflow Kubernetes Terraform gRPC Tensorflow CI/CD Qualifications B.S. or higher degree in computer science or related engineering field Excellent Python programming skills Experience with Tensorflow or a similar deep learning framework Knowledge of key concepts in machine learning (particularly deep learning) and data science Familiarity with big data and databases (BigQuery) Strong ethic of self-reliance and the initiative to take ownership of projects Strong communication skills Ability to determine reasonable timelines and deliver results accordingly Legal authorization to work in the U.S. is required Nice to haves Strong theoretical knowledge and practical experience with classical machine learning and deep learning techniques Experience with 3D scene understanding and object detection/segmentation from visionExperience with robotic manipulation hardware: arms, 3D cameras, force sensors Experience working independently on large, shared code bases and infrastructure Experience with big data processing tools: Spark/Hive/BigQuery etc. More About OSARO OSARO is a San Francisco-based startup company applying deep learning technology to next-generation robotics applications. Some of Silicon Valley's leading investors, including Peter Thiel, Jerry Yang, and Scott Banister have backed OSARO. Our vision is to build brains for robots on an industrial scale and we are excited and driven to see the results of our efforts operating in and interacting with the real world. We implement state-of-the-art techniques but constantly strive to build the simplest possible solution. OSARO is technique agnostic and always focused on the goal. We regularly review academic literature and techniques while steering clear of the hype. We're focused on delighting our customers with systems that work like magic. We have a highly international team made up of expert machine learning practitioners and dedicated software and hardware engineers which match well with the global nature of our business. We are naturally curious, love healthy debate, and respect varying points of view. At OSARO, we strive to be champions for equality. We believe we can serve as a model for diversity in the tech industry by emphasizing policies of nondiscrimination and inclusion at every step. We are an equal opportunity employer who offers Health, dental, vision, and commuter benefits & stipend Catered lunches in a dog friendly office, phone and learning stipend Generous vacation time Excellent paid parental leave policy with the option for additional reduced and unpaid leave The above full-time position is available immediately. You should be willing to move to the SF Bay Area and physically be in the office. This is not a remote position. 140000 - 180000 USD a year Actual compensation is based on various factors, including but not limited to job-related skills, and experience.
04/02/2026
Full time
We are searching for a Machine Learning Engineer to help us build upon the intelligence and capabilities of our robots and the machine learning systems that power them. Our products combine state-of-the-art perception algorithms and adaptive decision-making abilities with sophisticated control algorithms to endow industrial robots with the autonomy needed to perform efficiently at scale in several industrial applications. As a Machine Learning Engineer, you will work closely with our robotics, deployment, and sales teams to identify customer needs and conceptualize and build out machine learning solutions to those needs. You will also be responsible for monitoring, training, and validating performance of our deep learning models. We value candidates who are passionate about what they build, feel a strong sense of ownership over their work, and love being continually challenged. Our ideal candidates are those who care deeply about their team and demonstrate both directness and integrity. Examples of the work you will be doing Building product features, data pipelines, and tooling for visualizing and understanding machine learning models Creating and adapting SOTA model architectures in Tensorflow or PyTorch to solve unique, high-value problems Applying best practices in data science to help the team draw actionable conclusions from our data and performance results Working with our machine learning team to automate, manage, and validate our data collection pipelines and processes Collecting, organizing, and presenting performance results to stakeholders Technologies you will work with Python Rust Google Cloud Platform (BigQuery, Cloud Spanner, & Cloud Storage) Airflow Kubernetes Terraform gRPC Tensorflow CI/CD Qualifications B.S. or higher degree in computer science or related engineering field Excellent Python programming skills Experience with Tensorflow or a similar deep learning framework Knowledge of key concepts in machine learning (particularly deep learning) and data science Familiarity with big data and databases (BigQuery) Strong ethic of self-reliance and the initiative to take ownership of projects Strong communication skills Ability to determine reasonable timelines and deliver results accordingly Legal authorization to work in the U.S. is required Nice to haves Strong theoretical knowledge and practical experience with classical machine learning and deep learning techniques Experience with 3D scene understanding and object detection/segmentation from visionExperience with robotic manipulation hardware: arms, 3D cameras, force sensors Experience working independently on large, shared code bases and infrastructure Experience with big data processing tools: Spark/Hive/BigQuery etc. More About OSARO OSARO is a San Francisco-based startup company applying deep learning technology to next-generation robotics applications. Some of Silicon Valley's leading investors, including Peter Thiel, Jerry Yang, and Scott Banister have backed OSARO. Our vision is to build brains for robots on an industrial scale and we are excited and driven to see the results of our efforts operating in and interacting with the real world. We implement state-of-the-art techniques but constantly strive to build the simplest possible solution. OSARO is technique agnostic and always focused on the goal. We regularly review academic literature and techniques while steering clear of the hype. We're focused on delighting our customers with systems that work like magic. We have a highly international team made up of expert machine learning practitioners and dedicated software and hardware engineers which match well with the global nature of our business. We are naturally curious, love healthy debate, and respect varying points of view. At OSARO, we strive to be champions for equality. We believe we can serve as a model for diversity in the tech industry by emphasizing policies of nondiscrimination and inclusion at every step. We are an equal opportunity employer who offers Health, dental, vision, and commuter benefits & stipend Catered lunches in a dog friendly office, phone and learning stipend Generous vacation time Excellent paid parental leave policy with the option for additional reduced and unpaid leave The above full-time position is available immediately. You should be willing to move to the SF Bay Area and physically be in the office. This is not a remote position. 140000 - 180000 USD a year Actual compensation is based on various factors, including but not limited to job-related skills, and experience.
Senior Policy Advisor Georgetown University comprises two unique campuses in the nation's capital. With the Hilltop Campus located in the heart of the historic Georgetown neighborhood, and the Capitol Campus, just minutes from the U.S. Capitol and U.S. Supreme Court, Georgetown University offers rigorous academic programs, a global perspective, and unparalleled opportunities to engage with Washington, D.C. Our community is a close-knit group of remarkable individuals driven by intellectual inquiry, a commitment to social justice, and a shared dedication to making a difference in the world. Requirements Job Overview The Georgetown Center on Poverty and Inequality (GCPI) is a research center that generates policy solutions to improve the lives of people experiencing poverty in the United States. Collaborating with government and movement leaders, we provide timely, evidence-based ideas to impact decision-making, increase economic well-being, and advance racial and gender equity. High-quality care is essential for children, parents, workers, and the economy. GCPI's care policy portfolio advances a vision where paid leave and child care policies strengthen family economic security, reduce poverty, and recognize the value of caregiving. The Senior Policy Advisor is a deeply networked policy expert and trusted collaborator who leads GCPI policy work on child care, paid leave, and other care policies, with a focus on racial, economic, and gender justice. Additional duties include, but are not limited to: Conduct highest level policy analysis, collecting and analyzing data and evaluating the effects of existing policies and government programs. Develop research and policy ideas, publications, partnerships, and engagement opportunities for the care portfolio that align with center priorities. Respond rapidly and effectively to emerging needs from policymakers, producing high-quality analysis, guidance, and materials on tight timelines while maintaining accuracy and alignment with GCPI values. Serve as a spokesperson for the organization's care policy positions-building strategic relationships, sharing expert analysis, and gathering insights to inform internal strategy and strengthen collaboration. Provide mentorship and experiential learning opportunities to Fellows and students Work Interactions This position reports to the Managing Director of Policy & Research and will supervise student research assistants. Requirements and Qualifications JD or Masters and at least 7 years of experience on issues related to the Center's mission required Ability to convey complex concepts, scholarship, and policy ideas to a diverse range of audiences; develop innovative care policy solutions; and build strong relationships with stakeholders Expertise in child care and paid leave, relationships with care stakeholders and policymakers, and knowledge of a broad range of poverty & inequality issues Excellent research, analysis, writing, and communication skills, particularly in communicating policy issues and their implications for children and families to a broad audience Skilled in managing multiple priorities independently and collaboratively Race, class, and gender equity and inclusion experience, skills, and values Excellent problem-solving, interpersonal, and critical thinking skills A positive, collaborative, proactive, forward-thinking mindset and strong organizational skills Flexibility, enthusiasm for learning, and strong accountability practices Policy and research publications on subjects related to the Center's mission Work Mode Designation This position has been designated as Hybrid. Please note that work mode designations are regularly reviewed in order to meet the evolving needs of the University. Such review may necessitate a change to a position's mode of work designation. Complete details about Georgetown University's mode of work designations for staff and AAP positions can be found on the Department of Human Resources website: . Pay Range: The projected salary or hourly pay range for this position which represents the full range of anticipated compensation is: $66,783.00 - $126,720.23 Compensation is determined by a number of factors including, but not limited to, the candidate's individual qualifications, experience, education, skills, and certifications, as well as the University's business needs and external factors. Current Georgetown Employees: If you currently work at Georgetown University, please exit this website and login to GMS ( gms.georgetown.edu ) using your Net ID and password. Then select the Career worklet on your GMS Home dashboard to view Jobs at Georgetown. Submission Guidelines: Please note that in order to be considered an applicant for any position at Georgetown University you must submit a resume for each position of interest for which you believe you are qualified. Documents are not kept on file for future positions. Need Assistance: If you are a qualified individual with a disability and need a reasonable accommodation for any part of the application and hiring process, please click here for more information, or contact the Office of Institutional Diversity, Equity, and Affirmative Action (IDEAA) at or . Need some assistance with the application process? Please call . For more information about the suite of benefits, professional development and community involvement opportunities that make up Georgetown's commitment to its employees, please visit the Georgetown Works website . EEO Statement: GU is an Equal Opportunity Employer . All qualified applicants are encouraged to apply, and will receive consideration for employment without regard to age, citizenship, color, disability, family responsibilities, gender identity and expression, genetic information, marital status, matriculation, national origin, race, religion, personal appearance, political affiliation, sex, sexual orientation, veteran status, or any other characteristic protected by law . Benefits: Georgetown University offers a comprehensive and competitive benefit package that includes medical, dental, vision, disability and life insurance, retirement savings, tuition assistance, work-life balance benefits, employee discounts and an array of voluntary insurance options. You can learn more about benefits and eligibility on the Department of Human Resources website . To apply, visit Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-58a66540ae611d4eba7256c72eb9804c
01/15/2026
Full time
Senior Policy Advisor Georgetown University comprises two unique campuses in the nation's capital. With the Hilltop Campus located in the heart of the historic Georgetown neighborhood, and the Capitol Campus, just minutes from the U.S. Capitol and U.S. Supreme Court, Georgetown University offers rigorous academic programs, a global perspective, and unparalleled opportunities to engage with Washington, D.C. Our community is a close-knit group of remarkable individuals driven by intellectual inquiry, a commitment to social justice, and a shared dedication to making a difference in the world. Requirements Job Overview The Georgetown Center on Poverty and Inequality (GCPI) is a research center that generates policy solutions to improve the lives of people experiencing poverty in the United States. Collaborating with government and movement leaders, we provide timely, evidence-based ideas to impact decision-making, increase economic well-being, and advance racial and gender equity. High-quality care is essential for children, parents, workers, and the economy. GCPI's care policy portfolio advances a vision where paid leave and child care policies strengthen family economic security, reduce poverty, and recognize the value of caregiving. The Senior Policy Advisor is a deeply networked policy expert and trusted collaborator who leads GCPI policy work on child care, paid leave, and other care policies, with a focus on racial, economic, and gender justice. Additional duties include, but are not limited to: Conduct highest level policy analysis, collecting and analyzing data and evaluating the effects of existing policies and government programs. Develop research and policy ideas, publications, partnerships, and engagement opportunities for the care portfolio that align with center priorities. Respond rapidly and effectively to emerging needs from policymakers, producing high-quality analysis, guidance, and materials on tight timelines while maintaining accuracy and alignment with GCPI values. Serve as a spokesperson for the organization's care policy positions-building strategic relationships, sharing expert analysis, and gathering insights to inform internal strategy and strengthen collaboration. Provide mentorship and experiential learning opportunities to Fellows and students Work Interactions This position reports to the Managing Director of Policy & Research and will supervise student research assistants. Requirements and Qualifications JD or Masters and at least 7 years of experience on issues related to the Center's mission required Ability to convey complex concepts, scholarship, and policy ideas to a diverse range of audiences; develop innovative care policy solutions; and build strong relationships with stakeholders Expertise in child care and paid leave, relationships with care stakeholders and policymakers, and knowledge of a broad range of poverty & inequality issues Excellent research, analysis, writing, and communication skills, particularly in communicating policy issues and their implications for children and families to a broad audience Skilled in managing multiple priorities independently and collaboratively Race, class, and gender equity and inclusion experience, skills, and values Excellent problem-solving, interpersonal, and critical thinking skills A positive, collaborative, proactive, forward-thinking mindset and strong organizational skills Flexibility, enthusiasm for learning, and strong accountability practices Policy and research publications on subjects related to the Center's mission Work Mode Designation This position has been designated as Hybrid. Please note that work mode designations are regularly reviewed in order to meet the evolving needs of the University. Such review may necessitate a change to a position's mode of work designation. Complete details about Georgetown University's mode of work designations for staff and AAP positions can be found on the Department of Human Resources website: . Pay Range: The projected salary or hourly pay range for this position which represents the full range of anticipated compensation is: $66,783.00 - $126,720.23 Compensation is determined by a number of factors including, but not limited to, the candidate's individual qualifications, experience, education, skills, and certifications, as well as the University's business needs and external factors. Current Georgetown Employees: If you currently work at Georgetown University, please exit this website and login to GMS ( gms.georgetown.edu ) using your Net ID and password. Then select the Career worklet on your GMS Home dashboard to view Jobs at Georgetown. Submission Guidelines: Please note that in order to be considered an applicant for any position at Georgetown University you must submit a resume for each position of interest for which you believe you are qualified. Documents are not kept on file for future positions. Need Assistance: If you are a qualified individual with a disability and need a reasonable accommodation for any part of the application and hiring process, please click here for more information, or contact the Office of Institutional Diversity, Equity, and Affirmative Action (IDEAA) at or . Need some assistance with the application process? Please call . For more information about the suite of benefits, professional development and community involvement opportunities that make up Georgetown's commitment to its employees, please visit the Georgetown Works website . EEO Statement: GU is an Equal Opportunity Employer . All qualified applicants are encouraged to apply, and will receive consideration for employment without regard to age, citizenship, color, disability, family responsibilities, gender identity and expression, genetic information, marital status, matriculation, national origin, race, religion, personal appearance, political affiliation, sex, sexual orientation, veteran status, or any other characteristic protected by law . Benefits: Georgetown University offers a comprehensive and competitive benefit package that includes medical, dental, vision, disability and life insurance, retirement savings, tuition assistance, work-life balance benefits, employee discounts and an array of voluntary insurance options. You can learn more about benefits and eligibility on the Department of Human Resources website . To apply, visit Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-58a66540ae611d4eba7256c72eb9804c