data scientist

senior staff ai scientist Jobs in Atlanta

senior staff ai scientist

staff ai scientist

ai scientist 2

Intuit

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><div>
We are seeking an AI Scientist to work with our collaborative and creative group of scientists and engineers to design and implement the next generation AI and machine learning systems that will power our omnichannel marketing platform. In this role, you will develop and deploy modern machine learning and AI models directly in our core product to address key customer challenges. We are looking for someone passionate about the full model development lifecycle, eager to collaborate with product managers to shape innovative AI product experiences, and driven to make a significant impact on our customers.</div><p><b><br>
Responsibilities</b></p><ul><li>
Explore, develop, and deploy machine learning models, contributing to the end-to-end ML lifecycle in partnership with machine learning engineers and guided by senior scientists.</li><li>
Apply various machine learning techniques (supervised, unsupervised, reinforcement learning, NLP, GenAI) to improve relevance and personalization algorithms, with an emphasis on understanding and implementing solutions that support broader AI initiatives.</li><li>
Collaborate with product managers, software engineers, and designers in designing experiments and minimum viable products, learning to integrate insights from advanced AI systems.</li><li>
Discover, process, and train on huge data sets.</li><li>
In partnership with product managers and analysts, run regular A/B tests, perform statistical analysis, draw conclusions on the impact of your models, and communicate results to peers and leaders.</li><li>
Research and explore new technology shifts, particularly in generative AI and advanced ML, to understand their potential connection with customer benefits and inform ongoing AI strategy.</li></ul><p><b><br>
Qualifications</b></p><ul><li>
MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.) or equivalent work experience.</li><li>
1+ years of experience in modern AI/ML tools and proficient in Python and typical AI/ML libraries (e.g., TensorFlow, PyTorch, Keras). Familiarity with distributed computing frameworks (e.g., Spark, Ray) is a plus.</li><li>
1+ years of experience in machine learning techniques such as classification, regression, neural networks, large language models, recommender systems, natural language processing, clustering, anomaly detection, and computer vision. Understanding of MLOps principles and practices (e.g., version control, CI/CD for ML models) is a plus.</li><li>
Familiar with the latest trends and applications of generative AI including agentic applications.
</li><li>Efficient in SQL</li><li>
Comfortable in a Linux environment</li><li>
Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences.</li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</p></div><p></p>

AI Scientist 2

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><div>
Intuit is looking for an innovative and hands-on <b>Staff AI Scientist</b> to join the Intuit AI team.</div><div></div><div><br>
Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches.</div><p><b><br>
Responsibilities</b></p><ul><li>
Practices leadership and communication skills to influence teams and to evangelize AI science across the organization</li><li>
Collaborates with stakeholders to define success criteria and align model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products</li><li>
Leads technical work of a scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the team&rsquo;s work, and holding the team accountable for high quality code, git, design, costs and implementation standards</li><li>
Performs hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them &ldquo;model-ready&rdquo;. You need to be willing and able to do your own ETL and design/build featurization.</li><li>
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.</li><li>
Runs A/B tests to draw conclusions on the impact of your team&rsquo;s work and communicates results to peers and leaders</li><li>
Communicates with partners to ensure successful delivery and integration of DS solutions.</li><li>
Proactively researches, explores, and enables new ML technologies. Keeps up with the new developments in academia and industry and considers possible extensions to solve Intuit customer problems.</li></ul><div></div><p><b><br>
Qualifications</b></p><ul><li>
4+ years of industry experience with AI science</li><li>
BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent</li><li>
4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning.</li><li>
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.</li><li>
Proficient in NLP techniques, Explainable AI, and ML frameworks.</li><li>
Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R.</li><li>
Efficient in SQL, Hive, SparkSQL, etc.</li><li>
Comfortable working in a Linux environment</li><li>
Experience with building end-to-end reusable pipelines from data acquisition to model output delivery</li><li>
Quick learner, adaptable, with the ability to work independently in a fast-paced environment</li><li>
Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users</li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</p></div><p></p>

Staff AI Scientist

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><div>
Intuit is looking for innovative and hands-on <b>Senior Staff AI Scientist</b> to join the Intuit AI team.</div><div></div><div><br>
Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches.</div><p><b><br>
Responsibilities</b></p><ul><li>
Practices leadership and communication skills to influence teams and to evangelize AI science across the organization</li><li>
Collaborates with stakeholders to define success criteria and align model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products</li><li>
Leads technical work of a scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the team&rsquo;s work, and holding the team accountable for high quality code, git, design, costs and implementation standards</li><li>
Performs hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them &ldquo;model-ready&rdquo;. You need to be willing and able to do your own ETL and design/build featurization.</li><li>
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.</li><li>
Runs A/B tests to draw conclusions on the impact of your team&rsquo;s work and communicates results to peers and leaders</li><li>
Communicates with partners to ensure successful delivery and integration of DS solutions.</li><li>
Proactively researches, explores, and enables new ML technologies. Keeps up with the new developments in academia and industry and considers possible extensions to solve Intuit customer problems.</li></ul><p><b><br>
Qualifications</b></p><ul><li>
6+ years of industry experience with AI science</li><li>
BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent</li><li>
4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning.</li><li>
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.</li><li>
Proficient in NLP techniques, Explainable AI, and ML frameworks.</li><li>
Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R.</li><li>
Efficient in SQL, Hive, SparkSQL, etc.</li><li>
Comfortable working in a Linux environment</li><li>
Experience with building end-to-end reusable pipelines from data acquisition to model output delivery</li><li>
Quick learner, adaptable, with the ability to work independently in a fast-paced environment</li><li>
Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users</li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</p></div><p></p>

Senior Staff AI Scientist

Jerry

<div><div><div><b>You could be a data scientist anywhere. Why us?</b></div><ul><li><div>
Join a pre-IPO startup with capital, traction and runway ($240M funded | 60X revenue growth in 5 years | $2T market size)</div></li><li><div>
Partner with our VP of Data Science &amp; Analytics, Armando La Rocca (ex-BCG, Better)</div></li><li><div>
Disrupt a massive market and take us to a $10B business in the next few years</div></li><li><div>
Be immersed in a talent-dense environment and greatly accelerate your career growth</div></li></ul><p></p><p><b>
About the opportunity:</b></p><p>
Jerry is looking for a <b>Data scientist</b> to join our growing team! We hit a huge milestone in early 2024 by achieving profitability and have ambitious goals for the next few years &mdash; scale from 5M to 50M customers and become a $10B business. As a data scientist, you will play a key role in championing data-driven decisions across the company&rsquo;s most critical business initiatives (including carrier growth and development, building new products from 0-1, etc.). As part of the data science &amp; analytics team, you will leverage advanced machine learning models to conduct in-depth analyses and extract insights that will shape our growth strategies.</p><p></p><p>
Jerry is building the first super app to make car ownership affordable and accessible &ndash; insurance, buy/sell, registration, loans, safety, repairs, parking, etc &ndash; a $2T market in the U.S. We started with insurance in 2019, and since then we&rsquo;ve launched loan refinancing, driving insights, repair marketplace, car diagnostics, and a GenAI-powered chatbot &amp; voicebot. We have amassed over 5M customers, raised $240MM in funding, scaled our revenue 60X and our team to 225 across 6 countries.</p><p></p><p><b>
Here's what an ex-BCG teammate has to say about joining Jerry:</b></p><p><i>
&quot;The biggest difference between my current role at Jerry and my past life at BCG is being able to feel the direct impact my work has on the business, every day. In consulting, I rarely felt like my work was having any impact on the world, despite advising the largest global corporations. Here, I can see that my work is moving the needle on key company metrics in a matter of weeks. When I say &quot;key,&quot; I mean it: I am not talking about secondary KPIs that no one pays attention to, but business-critical metrics that the CEO and the rest of the C-suite look at on a daily basis (think sales, retention, pricing, etc).</i></p><p></p><p><i>
The benefit of being a digital-first company is that we are sitting on a treasure trove of data. This means we almost never have to make a decision that's not backed by a robust, statistically significant analysis. While data science can be a support function in some other places (this was something I wanted to avoid), data scientists at Jerry are at the core of the business.</i></p><p></p><p><i>
I have also appreciated the professional growth opportunities. I have had flexibility to work on the skills I wanted to develop, be it technical or soft skills. I have found continuous learning to be one of my most important drivers of happiness at work. Getting the space and latitude to work on projects that I am most interested in was all the more important for this reason.&quot;</i></p><p></p><p><b>
How you will make an impact:</b></p><ul><li><div>
Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies</div></li><li><div>
Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies</div></li><li><div>
Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth</div></li><li><div>
Identify opportunities to automate manual processes and optimize operational efficiency</div></li></ul><p></p><p><b>
Preferred experience:</b></p><ul><li><div>
Bachelor&rsquo;s degree in a quantitatively or intellectually rigorous discipline</div></li><li><div>
1+ years of experience from a top-tier economic consulting firm (Analysis Group, Cornerstone Research, Charles River Associates preferred) OR 1+ years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group preferred) OR relevant experience in data science/business analysis</div></li><li><div>
High level of comfort with SQL or Python</div></li></ul><p></p><p><b>
Who you are:</b></p><ul><li><div>
You have a framework for problem solving and live by first principles</div></li><li><div>
You are comfortable communicating with audiences varying from front-line employees to the company&rsquo;s C-suite</div></li><li><div>
You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence</div></li></ul><p><i>
While we appreciate your interest and application, only applicants under consideration will be contacted.</i></p><p></p><p><i>
Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws.
</i></p><p></p><p><i>Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at </i><i>recruiting@jerry.ai</i></p><p></p><p><i>
The successful candidate&rsquo;s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants.
</i></p><p></p><p><i>We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits.</i></p><p></p><p><b>
About Jerry.ai:</b></p><p>
Jerry.ai is America&rsquo;s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets.</p><p></p><p>
Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all.</p><p></p><p>
We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers &mdash; and we&rsquo;re just getting started.</p><p></p><p>
Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.</p><p></p><p>
Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that&rsquo;s disrupting a massive market.</p></div></div><p></p>

Data Scientist

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>2 years of experience managing projects.</li>
<li>Experience in developing AI/ML models, AI/ML algorithms, or AI-driven applications.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>2 years of experience managing cross-functional or cross-team projects.</li>
<li>Experience working with cloud computing platforms and developing solutions that interact with data warehouses and databases (e.g., SQL, NoSQL).</li>
<li>Experience with optimization techniques (e.g., linear programming, heuristic search) and simulation modeling.</li>
<li>Experience in Python and standard data science libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow/PyTorch).</li>
<li>Experience or knowledge in global supply chain operations, planning, or logistics.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
As the Technical Program Manager for the Supply Chain Strategy and Innovation team, you will transform the capabilities to plan, source, make, and deliver the vast network of hardware that powers cloud services. You will be responsible for developing, testing, and demonstrating working AI agent prototypes that solve high-impact business problems, which will then be transitioned to core engineering teams for production deployment.</p><p>
The AI and Infrastructure team is redefining what&rsquo;s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
</p><p>We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.</p><p>
The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</p><p>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Design, build, and prototype AI agents focused on optimizing key supply chain functions for cloud compute infrastructure (e.g., forecasting, capacity planning, demand sensing, component procurement, logistics, and reverse logistics).</li>
<li>Iterate on ideas, conducting A/B testing and proof-of-concept experiments to validate the technical feasibility and business impact of agent-based solutions.</li>
<li>Collaborate with Data Science and Data Engineering teams to identify, clean, and structure the necessary supply chain data for use in ML and agent models.</li>
<li>Create comprehensive documentation, including technical specifications, model architecture, and model maintenance procedures to ensure a seamless and efficient transition of prototypes to production engineering teams.</li>
<li>Partner with Supply Chain Operations, Architects, Finance, and Engineering teams to define requirements, gather feedback, and ensure prototypes align with strategic business objectives, and drive user adoption in production.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Technical Program Manager II, AI Modeling, Cloud Supply Chain

Microsoft

<div><div>At Microsoft, our mission is to empower every person and organization on the planet to achieve more. As a <b>Solution Engineer</b> for <b>Cloud &amp; AI Infra</b> in the <b>Microsoft Elevate team</b>, you will have the unique opportunity to combine purpose with cutting-edge technology. In this role, you&rsquo;ll partner with <b>social impact organizations</b>&mdash;from not-for-profits, non-government organizations to social enterprises&mdash; you&rsquo;ll help them amplify their societal and environmental impact through AI and Cloud innovation. This is your chance to drive meaningful change while leveraging digital tools and thriving in an inclusive, empowering environment.</div><div></div><div><b><br>
Cloud &amp; AI Infra</b> is a growth opportunity for Microsoft Azure, as well as its partners and customers. It includes a rich portfolio of products including IaaS and PaaS services on the Azure Platform. These technologies empower customers to digitally transform through Cloud migrations, modernizing their infrastructure and processes to innovate.</div><div></div><div><br>
The main goal of Microsoft <b>Solution Engineer</b> (SE) is to <b>win the technical decision</b> of customers to purchase and use our technology. The SE is expected to be able to both own and win customers&rsquo; technical decisions, as well as find new opportunities through their contacts and engagements for sales specialists to pursue. As a SE, you work within a virtual team of technical, partner and consulting resources to help educate your customers at a technical level, demonstrate, and prove our solutions, and win the technical decision, allowing the team to achieve/exceed quarterly sales targets in your accounts. Being part of this team will allow you to maintain and develop your deep technical expertise across Microsoft and non-Microsoft cloud-based technologies.</div><div></div><div><br>
Proven track record of building deep technical relationships with senior executives. Experience in managing various stakeholder relationships to get consensus on solution/projects. The ability to influence and build relationships across technical and business teams. Demonstrates, presentation skills and deep technical product demo abilities. Works cohesively with customers, the Microsoft account team, and Microsoft partners. Helps others succeed by identifying and promoting innovative solutions and strategies. Experience in creating <b>Proof of Concepts</b> (PoCs), <b>Minimum Viable Products</b> (MVPs) for customers that lead to production deployments.</div><div></div><h2 class="jobSectionHeader"><b><br>
Responsibilities</b></h2><ul><li>
Own technical sales with customers&rsquo; technical decision makers (TDMs) leveraging processes and tools, demos, programs, offers, and drive proof of concepts (POCs) using consultative sales methodology and technical expertise across other Solution Engineers to influence the customer vision.</li><li>
Build trusted advisor relationship with customers&rsquo; technical decision makers (TDMs and TDM-1) and use proactive effort to find and understand customers&rsquo; pain points and work together with customers to co-develop secure &amp; resilient solution architecture for production scale delivery using Cloud Adoption Framework (CAF) practices including Unified Support and Cloud Migration Factory (CMF) offer for every opportunity.</li><li>
Overcome competitors and technical objections and manage customer escalation with Global Black Belt and engineering team to share insights and practices for product improvements.</li><li>
Critical to maintain and grow expertise in Cloud Migration (Win, SQL, Linux, PGSQL, App workloads, resiliency, security, compliance) and enterprise applications (SAP, Oracle).</li><li>
Important to maintain and grow expertise in VMware with Azure VMware Services (AVS).
</li><li>Keeping up to date with market trends and competitive insights; collaborate and share with the Infrastructure technical community.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div>
Required Qualifications</div><ul><li>
Bachelor's Degree in Computer Science, Information Technology, Engineering or related field AND 2+ years technical pre-sales or technical consulting experience</li><li><div><ul><li>
OR equivalent experience.</li></ul></div></li><li>
Certification in relevant technologies or disciplines such as: Azure Certifications: AZ-305 Azure Solutions Architect Expert or AZ-104 Azure Administrator Associate or AZ-700 Azure Network Engineer Associate or AZ-500 Azure Security Engineer Associate or Administering Windows Server Hybrid Core Infrastructure</li></ul><div></div><div><br>
Preferred Qualifications</div><ul><li>
Bachelor's Degree in Computer Science, Information Technology, Engineering or related field AND 5+ years technical pre-sales or technical consulting experience OR equivalent experience.</li><li>
2+ years experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.</li></ul><div></div><div><br>
Digital Solution Engineering IC3 - The typical base pay range for this role across the U.S. is USD $40.91 - $81.63 per hour. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $53.85 - $89.09 per hour.<br>
<br>
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay<br>
<br>
Microsoft will accept applications for the role until October 29, 2025.</div><div></div><div><br>
#CELA</div>
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div>

Digital Solution Engineering IC3

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><p>
Join Intuit Academy, part of the Intuit Expert Network Learning &amp; Development (E&amp;LD) team. Our mission is to power prosperity by enabling our experts to be successful through world-class learning experiences. We are looking for a Staff Instructional Designer to bring innovation, AI curiosity, and instructional design excellence to help shape the future of learning for our expert network.</p><p>
You&rsquo;d be a great fit if you are:</p><ul><li>
An experienced instructional design professional with a track record of delivering high-quality, performance-driven learning solutions</li><li>
Skilled at working in Scrum environments, adapting to shifting priorities, and collaborating with cross-functional teams</li><li>
A self-starter with a deep foundation in adult learning theory and instructional design methodologies</li><li>
Curious and confident in experimenting with emerging AI tools, applying them to modernize and enhance learning solutions</li><li>
Ready to demonstrate your skills through a portfolio of diverse, innovative instructional design projects</li></ul><p><b><br>
Responsibilities</b></p><ul><li>
Lead the end-to-end instructional design lifecycle: scoping, analysis, design, development, implementation, and evaluation</li><li>
Collaborate within Scrum teams to deliver training solutions aligned with business goals</li><li>
Design and develop instructional materials across multiple modalities (tutorials, simulations, assessments, guides, video, audio, etc.)</li><li>
Apply AI-enabled tools to innovate and accelerate learning development while ensuring high instructional quality</li><li>
Establish design and measurement standards to evaluate effectiveness and impact</li><li>
Coach and mentor other instructional designers, building team capability</li><li>
Act as the voice of the learner, ensuring content is intuitive, relevant, and impactful</li></ul><p><b><br>
Qualifications</b></p><ul><li>
6+ years of experience applying adult learning theory and instructional design strategies to drive measurable performance outcomes</li><li>
Learning &amp; development experience required &mdash; proven ability to design and deliver training in enterprise environments</li><li>
Portfolio required &mdash; candidates must present a portfolio showcasing instructional design work across multiple modalities</li><li>
Experience working in a Scrum environment (or similar Agile frameworks)</li><li>
Advanced proficiency with industry-standard instructional design tools (Articulate Storyline, Rise, Camtasia, Vyond, Adobe Premiere, Photoshop, Audacity, etc.)</li><li>
Strongly desired: experience using emerging AI tools such as Synthesia, Google Vids, Google ML Notebook, and Uplimit (ASSI). Candidates without demonstrable</li></ul><p>
experience in this area should not apply for this role</p><ul><li>
Strong communication skills &mdash; able to simplify complex concepts and make technical content approachable</li><li>
Project management and time management skills &mdash; able to prioritize, manage multiple projects, and deliver in fast-paced environments</li><li>
Demonstrated ability to coach and mentor other instructional designers</li><li>
Education:</li></ul><p></p><ul><li><br>
Master&rsquo;s degree in Instructional Design or related field strongly preferred</li><li>Bachelor&rsquo;s degree is a nice-to-have, but not required with equivalent experience</li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</p></div><p></p>

Staff Instructional Designer

Explore 74+ Ai scientist 2 in Atlanta this October. Find roles across top companies and apply now to boost your career.