Engineering Jobs in Remote Usa, IL

Carle Health is seeking additional  BE/BC Maternal Fetal Medicine Specialists  to join our established team at Carle Foundation Hospital in Urbana, Illinois.

Opportunity Details

• Join a growing team of 4 MFM Specialists, 16 Obstetricians/Gynecologists, 6 Neonatologists, 2 Gynecologic Oncologists, a Pediatric Surgeon, a Geneticist with dedicated MFM genetic counseling, a Dietitian and highly skilled subspecialty midlevel staff
• Four MFM APP's provide prenatal care, inpatient support, and care coordination
• Pediatric specialties on site include Cardiology, Gastroenterology, Endocrinology, Neurology, Developmental-Behavioral, Pulmonology, Sleep and Genetics; additional consultation services available for Pediatric Infectious Disease and Hematology/Oncology
• Practice the full range of Maternal-Fetal Medicine, including prenatal diagnosis, complex obstetric management, genetic and perinatal consultation
• Large referral base of 50 regional referring OB-GYN physicians
• In-house coverage for deliveries by BE/BC OB/GYN Hospitalist, NICU and Anesthesia
• Dedicated neonatal and perinatal air and ground transport services
• 90% office practice within Carle Foundation Hospital campus
• Carle Foundation Hospital is a 509-bed Level I Trauma Center with Level III Perinatal services and has been recognized as one of America’s 50 Best Hospitals™ by Healthgrades® for 8 years in a row
• Opportunity for academic and/or research affiliation with the Carle Illinois College of Medicine, the nation’s first medical school focused at the intersection of healthcare and engineering
• Excellent benefits package:  health/dental/life insurance, 403-B plan with employer match, LTD, relocation allowance, CME allowance, and paid malpractice insurance with tail insurance coverage

About Our Community

Global connected, innovative and culturally rich, Champaign-Urbana is centrally located to Chicago, Indianapolis and St. Louis and is home to one of the world's great public research universities - the big Ten University of Illinois. With ease of transportation, excellent schools and affordable housing options, our community features the friendliness and advantages of a smaller town while offering the dining, arts, sports, and entertainment options found in a much larger city. 

Compensation and Benefits

The compensation range for this position is $550,000 - $665,000. This represents a good faith minimum and maximum range for the role at the time of posting by Carle Health. The actual compensation offered a candidate will be dependent on a variety of factors including, but not limited to, the candidate’s experience, qualifications, location, training, licenses, shifts worked and compensation model. Carle Health offers a comprehensive benefits package for team members and providers. To learn more visit /benefits

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.

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.

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.

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.

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.