Engineering Jobs in Michigan Flexible
546 positions found — Page 2
Position Overview: The Director of Engineering will be responsible for leading the design, development, and commercialization of advanced quantum sensor products and devices, with a focus on atomic sensors, receivers, and clocks. This role requires deep technical expertise and a minimum of 10 years of experience in advanced atom-based and laser technology systems engineering, particularly in the commercial and government/defense sectors. The successful candidate will have a demonstrated track record of bringing hardware and software products to market, and will manage a multidisciplinary engineering team through the entire product lifecycle.
Key Responsibilities:
- Product Development Leadership: Oversee the entire product engineering process from initial concept through to production and market launch, ensuring all products meet technical specifications and commercial/government requirements.
- Technical Expertise: Apply deep knowledge in atomic quantum sensors, photonics, lasers, optics, atomic electromagnetic field sensors, clocks, electrical engineering, and computer science to guide the engineering team and resolve complex technical challenges.
- System Integration: Ensure seamless integration of all system components, including optical, electrical, and quantum elements, to create high-performance, reliable products.
- Cross-Functional Collaboration: Work closely with R&D, product management, and other departments to align engineering efforts with business objectives, customer needs, and regulatory requirements.
- Innovation and R&D: Drive innovation by incorporating the latest advancements in quantum technology, photonics, and electromagnetic field sensing into product designs, ensuring that Rydberg Technologies remains at the forefront of the industry.
- Project Management: Lead and manage engineering projects, ensuring timely delivery, adherence to budget, and compliance with quality standards, while navigating the unique challenges of both commercial and government/defense markets.
- Team Development: Build, mentor, and develop a high-performing product engineering team, fostering a culture of excellence, collaboration, and continuous learning.
- Quality Assurance: Establish and maintain rigorous quality control processes to ensure all products meet the highest standards of performance, reliability, and regulatory compliance.
- Stakeholder Communication: Act as a key technical liaison, communicating product engineering progress and challenges to senior management, customers, and other stakeholders.
- Market Alignment: Ensure that product engineering efforts are closely aligned with market trends and customer needs in both commercial and defense sectors, driving the development of commercially viable products.
Qualifications:
- Educational Background: Advanced degree (PhD preferred) in Electrical Engineering, Physics, Computer Science, or a related field, with strong expertise in atomic physics, photonics, electronics, software, and quantum technologies.
- Experience: Minimum of 10 years of experience in advanced technology systems engineering, with a focus on commercial and government/defense sectors, and a demonstrated track record of hardware and software product commercialization.
- Technical Expertise: Proven track record of developing and delivering advanced quantum sensor products and devices, with deep knowledge in atomic electromagnetic field sensors, clocks, and related technical domains.
- Leadership Skills: Strong leadership and management skills, with the ability to inspire and lead a multidisciplinary engineering team.
- Funding: Demonstrated history of success in comprehensive proposal preparation and obtaining federal and commercial funding.
- Project Management: Demonstrated experience in managing complex engineering projects from concept to completion, including navigating the unique challenges of government/defense contracts and regulatory requirements.
- Analytical Skills: Strong problem-solving abilities, with a strategic mindset and the capacity to drive innovation and technical excellence.
- Communication: Excellent verbal and written communication skills, with the ability to effectively convey technical concepts to a variety of audiences.
- Market Insight: Understanding of market dynamics and customer needs in the quantum technology sector, RF test and measurement, electromagnetic sensor, and communications markets, with the ability to translate these insights into successful product strategies.
Field Service Engineer
Auburn Hills, MI
Qualifications
- Bachelor’s degree in Electrical Engineering or Mechanical Engineering
- Experience with CNC programming, PLC systems, and machine tool schematics preferred
- Strong problem-solving and communication skills
- Ability to work independently with minimal supervision
- Valid driver’s license with a good driving record
About the Role
We are seeking a Field Service Engineer to support growth initiatives across North America. This role involves working closely with sales teams, distributors, OEMs, and end users to deliver high-quality technical solutions related to machine tool probing and monitoring systems.
Key Responsibilities
- Analyze customer needs and specifications to prepare quotations for CNC machine tool touch probe and monitoring systems
- Provide technical support (in-person, phone, and email) to distributors, internal teams, and end users
- Assist Sales Engineers with technical expertise and application support
- Document and report all customer visits, including findings and outcomes
- Ensure timely follow-up on all active projects
- Support product launches including installation, software setup, and troubleshooting
- Act as a liaison with global teams to resolve technical issues
- Troubleshoot customer issues remotely or onsite as needed
- Travel to customer locations to support service activities when required
- Perform additional duties as assigned
Additional Information
- Travel requirement: approximately 40%–50%
We are seeking a Senior Robotic Simulation Engineer with deep, hands-on expertise in building high-fidelity simulation environments and synthetic data pipelines using NVIDIA Isaac Sim or similar.
In this role, you will directly contribute to the development of scalable, realistic virtual worlds that power the training and validation of robotic foundation models for perception, planning, and manipulation.
At GM’s manufacturing technology development team, you’ll work closely with robotics and AI teams within the Manufacturing Technology Development (MTD) team to create simulation scenes that replicate complex manufacturing environments, generate diverse synthetic datasets, and build robust data workflows that accelerate model development and deployment.
Key Responsibilities • Build and customize simulation scenes in Isaac Sim that accurately reflect real-world robotic tasks and factory layouts • Develop synthetic data generation pipelines, including randomized object placement, sensor simulation, and multi-modal annotations (RGB, depth, segmentation, point clouds) • Implement and maintain data processing workflows, ensuring data quality, traceability, and compatibility with ML training pipelines • Optimize simulation performance and realism, tuning physics parameters, asset fidelity, and rendering configurations for scalable experimentation • Collaborate with robotics engineers and ML scientists to align simulation outputs with model requirements and support sim2real transfer • Conduct hands-on testing and debugging, iterating on simulation setups and synthetic data strategies to improve model robustness • Document workflows and contribute to best practices, enabling reproducibility and knowledge sharing across teams Required Qualifications • MSc or PhD in Robotics, Computer Graphics, Computer Vision, or related field • 3+ years of hands-on experience in robotics simulation, synthetic data generation, or virtual environment development • Proficiency with Isaac Sim, Omniverse, or similar simulation platforms • Strong programming skills in Python and C++, with experience in simulation APIs and data annotation tools • Familiarity with 3D vision, sensor modeling, and domain randomization techniques • Experience integrating simulation outputs into ML pipelines for training and evaluation Preferred Qualifications • Experience with robotics frameworks (e.g., ROS/ROS2, MoveIt, Nav2) • Experience with robotics simulation platforms (e.g., IsaacSim, MoJoCo, Gazebo) or Game engine (e.g., Unreal, Unity) • Background in industrial automation, autonomous vehicles, or robotic manipulation • Publications or contributions in simulation, synthetic data, or robotics venues (e.g.
ICRA, RSS, CVPR) • Familiarity with CI/CD pipelines and modern software development practices such as Bash, Github, Bazel, Docker
SCHERDEL SALES & TECHNOLOGY, INC
Reports To: Human Resources Manager
Department: Human Resources
Classification: Exempt
JOB FUNCTION:
The Environmental Health & Safety Engineer is the designed lead to create value through developing, documenting, communicating, implementing, monitoring, maintaining, and leading the company’s Environmental Health & Safety programs and policies.This role will work directly with leadership to identify and mitigate risks, lead capital project opportunities for risk reduction, and apply. This role will be commitment to environmental sustainability and stewardship using practices to maximize the use of renewable raw materials throughout processes.
ESSENTIAL FUNCTIONS:
- Develops, implements, manages and maintains oversight of company safety programs to include but not limited to; Confined Space Entry, Emergency Response, Electrical Safe Work Practices, Hazardous Communication, Lock-Tag-Verify, Forklift, Hoist, and Crane Certifications, Fall Protection, Incident Investigation, Mobile Equipment, Personal Protective Equipment, Ergonomics, Injury Management, Safe Work Permits, Waste Minimization/Reduction/Disposal, OSHA, MIOSHA, Contractor Guidelines
- Leads in the development, implementation and improvements of safety training systems and effectively educates team members
- Enhances the company’s capability in risk reduction
- Supports various Scherdel’s departments new hire orientation for new employees and for outside vendors and contractors
- Provides a visible safety presence and knowledgeable resource in operations, maintenance, and contract work groups
- Serves as a subject matter resource in the evaluation, interpretation, and compliance of safety and health laws, regulations and permits, audits and as related
- Develops and uses risk assessment methods and tools for anticipating, identifying, and evaluating hazards. Managing and assisting with the mitigation of identified gaps, weaknesses, and improvement opportunities,
- Leads the Safety Committee and communicates company Safety & Health vision, expectations, strategies, and initiatives
- Ensures the facility has prioritized (risk-based), actionable strategies and that effective metrics are utilized to monitor progress and performance
- Coaches and mentors’ employees to facilitate commitment and ownership of safety at all levels in the organization
- Responds to employee inquires on health-related issues in the workplace
- Manages data and reporting issues, initiatives/projects, incidents, assessments/audits, and safety performance for facility to management
- Works according to Scherdel’s quality and environmental system requirements, and customer quality requirements
- Plans, implements, controls and maintains the processes needed to meet requirements of the OH&S and EMS management systems as listed in ISO 14001:2015 & 45001:2018
FUNCTION REQUIREMENTS:
Education/Experience:
Required:
- Bachelor’s Degree in EH&S Science, Industrial Hygiene, or other safety, technical, engineering field, or,
- Minimum of five (5) years of experience in environmental health and safety field including at least three (3) in an industrial/manufacturing environment.
Preferred:
- Associate Safety Professional (ASP), Certified Safety Professional (CSP), Certified Industrial Hygienist (CIH), or equivalent certification
- Completion of OSHA courses; 501, 503, 511, and similar per OSHA Training Institute
- Working knowledge of ISO 14001, ISO 45001.
Skills:
- Current knowledge of legal and compliance regulations related to EHS
- Expertise in ergonomics, quality systems, continuous improvement, audits, risk assessment , risk management, incident investigation and accident prevention to include experience training others
- Experience in permits and submitting environmental reports to state and city authorities (air, water and similar)
Competencies:
- Strategic
- Time Management
- Results Driven
- Problem Solver
- Thoroughness
- Communication
- Personal Effectiveness/Credibility
Other duties: Please note this job description is not designed to cover or contain a comprehensive listing of actives, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
DRE Platform integration (PI)
The Power and Signal Distribution (PASD) PI Release Engineer will be responsible for the design and release of wiring harness assemblies and related components. The Engineer will coordinate drawing creation in both 2D Capital XC and 3D CAD release in Teamcenter (NX) and validation of released components in the vehicle and component environments. The engineer will support vehicle manufacturing/supplier facilities for entire life cycle, manage plant design issues along with change requests from both the plant and suppliers. The engineer will manage large amounts of data/changes that must be incorporated into the current/future designs.
Basic Qualifications:
- Bachelor of Science degree in Mechanical or Electrical Engineering or equivalent (Materials /Chemical/ Civil/ Aerospace/Computer) from an ABET accredited university
- 3 years of transportation wiring design and release experience or vehicle electrical system experience
- 5 years of engineering experience
- Excellent communication skills that include writing, creation and presentation of management level high quality presentation materials and reports
- Proficient in MS Office suite of tools including PowerPoint, Excel and Word
Preferred Qualifications:
- Master of Science degree in Mechanical or Electrical Engineering from an ABET accredited university
- Training in DFMEA DVP&R and DFSS development tools and processes
- Working knowledge of CAD systems (NX, Catia)
- Working knowledge of CAD systems (Capital XC)
- Experience in high volume manufacturing facilities along with knowledge of wiring manufacturing facility
- Familiarity with wiring harness drawings and specifications for automotive applications
- Web publishing and familiarity with SharePoint data management environments
Location: United States
At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.
This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.
This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.
GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.
Join Our Team
We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.
In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.
What you'll get to do...
- Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
- Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
- Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
- Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
- Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization
Your experience should include...
- 3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
- 5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development
- 2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
- A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
- A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
- 5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
- The ability to define and implement a vision for experimentation best practices across diverse product areas
You might also have...
- Master's in computer science or equivalent quantitative fields
We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.
We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.
About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us.
At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.
GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.
Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.
Remote working/work at home options are available for this role.
Location: United States
At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.
This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.
This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.
GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.
Join Our Team
We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.
In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.
What you'll get to do...
- Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
- Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
- Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
- Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
- Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization
Your experience should include...
- 3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
- 5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development
- 2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
- A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
- A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
- 5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
- The ability to define and implement a vision for experimentation best practices across diverse product areas
You might also have...
- Master's in computer science or equivalent quantitative fields
We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.
We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.
About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us.
At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.
GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.
Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.
Remote working/work at home options are available for this role.
Location: United States
At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.
This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.
This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.
GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.
Join Our Team
We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.
In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.
What you'll get to do...
- Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
- Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
- Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
- Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
- Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization
Your experience should include...
- 3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
- 5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development
- 2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
- A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
- A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
- 5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
- The ability to define and implement a vision for experimentation best practices across diverse product areas
You might also have...
- Master's in computer science or equivalent quantitative fields
We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.
We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.
About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us.
At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.
GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.
Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.
Remote working/work at home options are available for this role.
Location: United States
At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.
This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.
This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.
GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.
Join Our Team
We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.
In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.
What you'll get to do...
- Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
- Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
- Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
- Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
- Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization
Your experience should include...
- 3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
- 5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development
- 2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
- A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
- A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
- 5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
- The ability to define and implement a vision for experimentation best practices across diverse product areas
You might also have...
- Master's in computer science or equivalent quantitative fields
We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.
We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.
About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us.
At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.
GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.
Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.
Remote working/work at home options are available for this role.
Location Details: Remote - United States
At GoDaddy, the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days), and some work entirely remotely.
This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.
This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.
GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.
Join our team
The GoCaaS (GoDaddy Content As A Service) team powers GoDaddy's generative AI platform. We enable internal teams to securely build, deploy, and scale AI capabilities across the company—driving innovation, productivity, and customer impact. Our platform supports 100+ large language models across multiple vendors (OpenAI, Google, Anthropic, AWS) with 99.99% uptime, serving thousands of employees and dozens of teams.
What you'll get to do...
- Lead and develop a high-performing engineering team delivering critical AI platform capabilities while mentoring engineers to deliver quality software efficiently.
- Partner with cross-functional teams (product, design, and engineering leaders) to define and execute the GoCaaS roadmap and strategic initiatives.
- Drive platform excellence by ensuring reliability, scalability, and optimal developer experience for internal AI consumers.
- Champion engineering best practices, including CI/CD, observability, and secure software development across the organization.
- Collaborate with enterprise teams (security, data, infrastructure) to deliver enterprise-grade AI solutions while fostering a culture of experimentation and technical excellence.
Your experience should include...
- 6+ years of software engineering experience with at least 2 years in engineering management or tech lead roles.
- Proven leadership of backend/platform teams delivering production-scale services.
- Strong cloud infrastructure knowledge (AWS, GCP, or Azure) and distributed systems expertise.
- Hands-on programming skills in Python, Go, or Node.js with CI/CD and observability experience.
- Leadership and project management abilities, including stakeholder management and cross-functional project delivery.
You might also have...
- AI/ML Infrastructure Experience - Working with LLMs, RAG systems, or broader AI/ML infrastructure.
- Container Orchestration - Familiarity with Kubernetes and Docker.
- Security & Privacy - Experience with secure data handling and privacy frameworks.
- Developer Platform Background - Experience building internal tooling or developer platforms.
- Leadership & Community Engagement - Passion for team building, mentoring engineers, and contributing to open-source initiatives.
We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits, including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.
We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.
About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunities more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us.
At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report, which can be found on our Diversity Careers page.
GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.
Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.
Remote working/work at home options are available for this role.