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Booz Allen Hamilton

<div>AL/ML Engineer, Lead
The Opportunity:
As an experienced engineer, you know that machine learning (ML) is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support public health and safety. As an ML engineer on our team, you&rsquo;ll train, test, deploy, and maintain models that learn from data.
In this role, you&rsquo;ll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You&rsquo;ll be part of a large community of ML engineers across the company and collaborate with data engineers, data scientists, solutions architects, enterprise architects, and product owners to deliver world-class solutions. You&rsquo;ll help design and develop enterprise ML operations frameworks, support mentorship and training initiatives, process data and information at a massive scale, and perform A/B testing tasks on statistical models, ML algorithms, and systems.
Your advanced skills and technical expertise will guide clients as they navigate the evolving landscape of ML, Generative AI, AI agents, and retrieval-augmented generation (RAG) technologies. This position is located in Atlanta, GA.
What You'll Work On:<ul><li>
Build and maintain complex data pipelines using PySpark and Palantir Foundry to support AI and analytical workloads.</li><li>
Design and implement ML workflows, including Generative AI, AI agents, MCP-enabled systems, and RAG pipelines for public health use cases.</li><li>
Develop robust AI evaluation strategies to ensure the quality, reliability, and performance of deployed AI solutions.</li><li>
Design AI architectures supporting agent memory, state management, retrieval optimization, and interaction with structured and unstructured public health data.</li><li>
Collaborate with cross-functional teams to translate mission requirements into scalable AI/ML solutions while maintaining technical documentation and governance standards.</li><li>
Define and enforce data quality, privacy, anonymization, auditing, and ethical AI standards in compliance with public health and government requirements.</li></ul>
Join us. The world can&rsquo;t wait.
You Have:<ul><li>
5+ years of experience designing, developing, and deploying ML models and AI solutions using Python</li><li>
5+ years of experience with Generative AI, LLMs, AI agents, or RAG applications in enterprise environments</li><li>
Experience developing AI evaluation strategies and working with MCP-enabled systems</li><li>
Experience with ML frameworks and libraries such as TensorFlow or PyTorch</li><li>
Experience with data engineering using PySpark, SQL, and Palantir Foundry, including Foundry AIP</li><li>
Experience with Prompt Buddy, Codex, Claude, or OpenEvidence in enterprise environments</li><li>
Experience deploying ML solutions at scale using MLOps tools such as MLflow, and cloud platforms such as Azure, Databricks, or Domino</li><li>
Ability to implement AI agent architectures, retrieval optimization, and memory or state management workflows</li><li>
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements</li><li>
Bachelor's degree in CS, Engineering, or Data Science</li></ul>
Nice If You Have:<ul><li>
Experience with open-source LLMs such as LLaMA, Gemma, or Phi</li><li>
Experience in deep learning, NLP, conversational AI, or computer vision</li><li>
Experience supporting healthcare, biomedical, or public health AI/ML initiatives and government public health data systems</li><li>
Experience with chatbot development or end-to-end AI application deployment</li><li>
Experience with containerization, orchestration, CI/CD, and full-stack ML application deployment</li><li>
Experience working in Agile environments using tools such as Jira</li><li>
Experience writing technical documentation and presenting technical solutions to broad audiences</li><li>
Ability to collaborate effectively in matrixed environments with cross-functional stakeholders</li><li>
Master&rsquo;s degree</li></ul>
Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $128,700.00 to $292,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model 
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.<ul><li>
Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</li><li>
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</li><li>
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</li></ul>
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</div>

AL/ML Engineer, Lead

<div>
 
 
 
 
 Welcome to Warner Bros. Discovery&hellip; the stuff dreams are made of.
 
 
 
 
 
 
 
 
 
 Who We Are&hellip;
 
 
 
 
 
 When we say, &ldquo;the stuff dreams are made of,&rdquo; we&rsquo;re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD&rsquo;s vast portfolio of iconic content and beloved brands, are the
 
 storytellers
 
 bringing our characters to life, the
 
 creators
 
 bringing them to your living rooms and the
 
 dreamers
 
 creating what&rsquo;s next&hellip;
 
 
 
 
 
 
 From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
 
 
 
 
 
 We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN.
 
 
 
 
 
 To see what it&rsquo;s like to work at&nbsp;CNN, follow @WBDLife on&nbsp;
 
 Instagram
 
 &nbsp;and&nbsp;
 
 X
 
 !
 
 
 
 
 
 
 We are CNN. THE WORLD'S MOST ESSENTIAL AND ENGAGING SOURCE OF DIGITAL NEWS.
 
 
 We are in the midst of rapid transformation and need our next generation of innovators, makers, and dreamers who will lead and drive our growth. We aim to make the world a better, more connected place.
 
 
 
 
 About CNN Digital
 
 &nbsp;
 
 
 CNN Digital is a global leader in news and information, reaching millions of users daily across web, mobile, and connected TV platforms. Our ML/AI team works at the intersection of journalism, technology, and user experience, building systems that help people discover and engage with the news that matters to them.&nbsp;
 
 
 
 Your New Role&hellip;
 
 
 
 CNN is seeking a
 
 Machine Learning Engineer I
 
 to build and deploy ML systems that power personalization, search, recommendations, and content understanding for millions of users across CNN's digital platforms. You will work on&nbsp;production&nbsp;ML systems with measurable product impact, collaborating with cross-functional teams of engineers, data scientists, product managers, and editorial staff.&nbsp;
 
 
 
 Your Role Accountabilities&hellip;
 
 
 <ul>
 <li>
 
 Build and deploy full-lifecycle machine learning systems in Python for CNN digital products, including personalization, search, recommendations, and content understanding
 
 </li>
 <li>
 
 Develop and maintain production ML pipelines, including feature engineering, model training, evaluation, and serving infrastructure
 
 </li>
 <li>
 
 Implement rigorous experimentation and A/B testing frameworks to validate model performance and product impact
 
 </li>
 <li>
 
 Optimize ML systems for real-time, web-scale performance serving millions of users
 
 </li>
 <li>
 
 Partner with platform and infrastructure teams to ensure ML systems meet reliability, scalability, and performance standards
 
 </li>
 <li>
 
 Contribute to code reviews, documentation, and team knowledge sharing
 
 </li>
 </ul>
 
 
 Qualifications &amp; Experience&hellip;
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 
 Graduate degree (MS or PhD) in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field
 
 </li>
 <li>
 
 1+ years of professional experience building and deploying machine learning systems in production environments
 
 </li>
 <li>
 
 Strong Python programming skills and experience with machine learning frameworks (e.g., scikit-learn or similar)
 
 </li>
 <li>
 
 Experience across the full ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, and deployment
 
 </li>
 <li>
 
 Solid understanding of software engineering best practices, including version control, testing, and CI/CD
 
 </li>
 <li>
 
 Ability to collaborate effectively with cross-functional partners
 
 </li>
 <li>
 
 Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders
 
 </li>
 </ul>
 
 
 Preferred Experience:
 
 
 <ul>
 <li>
 
 Experience working on large-scale consumer internet products (e.g., social, streaming, e-commerce, media)
 
 </li>
 <li>
 
 Hands-on experience with recommendation systems, search, NLP, or information retrieval
 
 </li>
 <li>
 
 Familiarity with data pipelines, feature stores, or embedding infrastructure
 
 </li>
 <li>
 
 Experience with experimentation platforms, A/B testing, and experimentation analysis
 
 </li>
 <li>
 
 Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes)
 
 </li>
 <li>
 
 Interest in generative AI applications and/or the media and news industry
 
 </li>
 </ul>
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 
 
 Languages:
 
 Python (required), SQL
 
 </li>
 <li>
 
 
 ML Frameworks:
 
 scikit-learn or similar
 
 </li>
 <li>
 
 
 Tools:
 
 Git, MLflow or similar MLOps tools
 
 </li>
 <li>
 
 
 Data:
 
 Experience working with large datasets, distributed processing, and feature engineering
 
 </li>
 <li>
 
 
 Deployment:
 
 REST APIs, model serving, monitoring, and observability
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 How We Get Things Done&hellip;
 
 
 
 
 
 
 
 This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 www.wbd.com/guiding-principles/
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
 
 
 
 
 
 
 
 Championing Inclusion at WBD
 
 
 
 Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.
 
 
 
 
 
 
 If you&rsquo;re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our
 
 accessibility page
 
 for instructions to submit your request.
 
 
 
 
 
 
 In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery&rsquo;s total compensation package for employees. Pay Range: $99,400.00 - $184,600.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.
 
 
 
 
 
 
 
 
</div>

Machine Learning Engineer I

Sunwell America. Inc

Job DescriptionMust Have Technical/Functional Skills<ul><li>Deep Google GenAI Stack: Vertex AI (Pipelines, Endpoints, Vector Search), Gemini APIs, and Agentic architectures (Function Calling, Agent Development Kit, Agent Builder).</li><li>Core GCP Infra: Solid understanding of how ML model deployments interact with BigQuery, IAM, Cloud Storage, and VPCs.</li><li>High-Severity Leadership: Excellent interpersonal ability to manage P1/P2 crises and deliver technical root-cause analyses directly to enterprise customers and accelerate L1 L2 teams</li><li>Ideal: Systems &amp; Code Debugging skills, Strong Python coding/debugging skills, API troubleshooting, and distributed systems log analysis (Cloud Logging/Monitoring).</li></ul>Roles &amp; Responsibilities<ul><li>This role falls in the Tier 3 Support and plays as the bridge between our frontline representatives (who are already Associate Cloud Engineer certified) and Google Product Engineering.</li><li>Act as the ultimate technical escalation point for complex enterprise issues across Vertex AI, Gemini/Gemini Enterprise, and Vertex AI Agent Builder.</li><li>8+ years in Tier 3 Technical Support, SRE, and AI/ML Engineering.</li><li>Mandarin Fluency (Spoken &amp; Written) for direct engagement with enterprise customers and stakeholders.</li><li>Generic Managerial Skills, If any</li><li>Stakeholder management</li><li>Escalation handling</li><li>Cross-functional collaboration</li><li>Communication skills</li><li>Problem-solving</li><li>Ownership &amp; accountability</li></ul>Pay: $90,000.00 - $110,000.00 per yearBenefits:<ul><li>401(k)</li><li>Dental insurance</li></ul>Work Location: In person

GenAI Support Engineer / Google Cloud AI Specialist

The Home Depot

Position Purpose: As a Software Engineer Manager, you will have the opportunity to contribute to the development of innovative products while supporting the growth of the next generation of engineering talent. In this role, you will be responsible for driving strategic technology decisions, building scalable and resilient systems, and delivering solutions that align with organizational objectives, including retail and promotional pricing as well as pricing optimization initiatives. In addition, you will collaborate with strategic vendors to ensure that third-party tools and applications are accessible and effectively leveraged by product teams. You will also play a key role in guiding the adoption of AI/ML-driven solutions to enable data-driven decision-making and enhance automation across the organization. Key Responsibilities: 40% Delivery &amp; Execution: Collaborates and pairs with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions Drives strategic technical decisions and influences architecture to build highly scalable, performant, and resilient systems Designs and implements solutions incorporating AI/ML capabilities to improve automation, forecasting, and business outcomes Builds and enhances systems supporting retail pricing, promotions, and optimization, ensuring accuracy, scalability, and performance Documents, reviews and ensures that all quality and change control standards are met Writes custom code or scripts to automate infrastructure, monitoring services, and test cases Works with vendors and partners for the successful implementation of critical tooling and platforms Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively Contributes to enterprise-wide tools to drive destructive testing, automation, and engineering empowerment Evaluates new technologies, including AI/ML platforms and tools, for adoption across the enterprise Participates in and leads review board sessions to drive consistency across the enterprise Fills in on product teams for engineers who are out of the office 20% Support &amp; Enablement: Fields questions from business, engineers, product teams, or support teams Monitors tools and participates in conversations to encourage collaboration across product teams Provides application support for software running in production Acts as a technical escalation point for the engineers on the team, especially for complex system and pricing-related issues 30% People: Provides leadership, mentoring, and coaching to Software Engineers Actively develops team capabilities in modern engineering practices, AI/ML adoption, and system design Attracts, retains, and develops top talent to build a world class Software Engineering Team Conducts annual and mid-year reviews by reviewing individual development plans and team feedback Fosters collaboration with team members to drive consistency across product teams, and finds opportunities to expose engineers to career interests Acts as a proponent of modern software development practices and data-driven decision-making Guides team members in strategic thinking, alignment, analysis, and execution tasks within and across product teams Builds a culture of continuous learning, innovation, and engineering excellence focused on scalable systems Participates in and contributes to learning activities around modern software design and development core practices (communities of practice) 10% Learning: Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations Builds relationships with technology leaders at other companies to learn best practices and elegant solutions to common problems Stays current with advancements in AI/ML, retail pricing technologies, and large-scale distributed systems Direct Manager/Direct Reports: Reports to the Software Engineer Sr. Manager Travel Requirements: Typically requires overnight travel 5% to 20% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Mastery of an object oriented programming language (preferably Java) Must be legally permitted to work in the United States Preferred Qualifications: 7-9 years of relevant work experience Mastery of a modern programming language (preferably java &amp; Python) Experience productionizing statistical models, AI/ML systems, and Generative AI solutions at enterprise scale Experience working with or integrating AI/ML models and data-driven systems Experience with retail pricing systems, promotions, or price optimization platforms Mastery of a modern web application framework such as Ruby on Rails, Spring MVC, and Node.js Mastery of writing SQL queries against a relational database and No SQL databases Experience championing AI agents to improve developer productivity, accelerate delivery, and enhance team effectiveness. Experience managing large-scale solution delivery in highly matrixed and cross-functional environments. Mastery of modern product development processes and pipelines Proficient in effective troubleshooting and issue resolution techniques Proficient in effective system monitoring and log analysis techniques Capable of understanding complicated systems quickly Experience in guiding more junior team members through Software Engineering fundamentals in a professional setting Experience managing and growing team members in a professional setting Experience balancing workloads across teams Experience managing vendor relationships Experience with translating high level strategy to tactical execution Experience building and scaling distributed, high-availability systems Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 7 Preferred Years of Work Experience: No additional years of experience Competencies: Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals Business Insight: Applying knowledge of business, retail pricing, and the marketplace to advance the organization's goals Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Develops Talent: Developing people to meet both their career goals and the organization's goals Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations

Software Engineer Manager (Remote)

Position Purpose: As a Software Engineer Manager, you will have the opportunity to contribute to the development of innovative products while supporting the growth of the next generation of engineering talent. In this role, you will be responsible for driving strategic technology decisions, building scalable and resilient systems, and delivering solutions that align with organizational objectives, including retail and promotional pricing as well as pricing optimization initiatives. In addition, you will collaborate with strategic vendors to ensure that third-party tools and applications are accessible and effectively leveraged by product teams. You will also play a key role in guiding the adoption of AI/ML-driven solutions to enable data-driven decision-making and enhance automation across the organization. Key Responsibilities: 30% Delivery &amp; Execution: Collaborates and pairs with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions Documents, reviews and ensures that all quality and change control standards are met Writes custom code or scripts to automate infrastructure, monitoring services, and test cases Works with vendors and partners for the successful implementation of critical tooling and platforms Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively Contributes to enterprise-wide tools to drive destructive testing, automation, and engineering empowerment Evaluates new technologies for adoption across the enterprise Participates in and leads review board sessions to drive consistency across the enterprise Fills in on product teams for engineers who are out of the office 10% Support &amp; Enablement: Fields questions from engineers, product teams, or support teams Monitors tools and participates in conversations to encourage collaboration across product teams Provides application support for software running in production Acts as a technical escalation point for the engineers on the team 50% People: Provides leadership, mentoring, and coaching to Software Engineers Attracts, retains, and develops top talent to build a world class Software Engineering Team Conducts annual and mid-year reviews by reviewing individual development plans and team feedback Fosters collaboration with team members to drive consistency across product teams, and finds opportunities to expose engineers to career interests Acts as a proponent of modern software development practices Guides team members in strategy, alignment, analysis, and execution tasks within and across product teams Participates in and contributes to learning activities around modern software design and development core practices (communities of practice) 10% Learning: Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations Builds relationships with technology leaders at other companies to learn best practices and elegant solutions to common problems Direct Manager/Direct Reports: Typically reports to the Software Engineer Sr. Manager, Technology Director or Sr. Director. Travel Requirements: Typically requires overnight travel 5% to 20% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Mastery of an object oriented programming language (preferably Java) Must be legally permitted to work in the United States Preferred Qualifications: 7-9 years of relevant work experience <ul><li>Mastery of a modern programming language (preferably java &amp; Python)</li></ul>Experience building, productionizing, and operating AI/ML systems, statistical models, recommendation systems, personalization platforms, or Generative AI solutions at enterprise scale Hands-on experience with big data platforms, distributed data processing, and large-scale data pipelines <ul><li>Experience with orchestration and workflow tools such as Apache Airflow, Cloud Composer, or similar platforms</li></ul>Experience with MLOps practices, including model deployment, monitoring, retraining workflows, feature pipelines, experimentation, and production model governance <ul><li>Experience working with cloud platforms, preferably Google Cloud Platform, including services such as BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Kubernetes</li><li>Experience designing and scaling high-throughput, low-latency, distributed systems that support customer-facing recommendations, search, personalization use cases</li></ul>Strong SQL skills and experience working with relational, NoSQL, and analytical data stores <ul><li>Experience integrating AI/ML models into production applications, APIs, data products, or decisioning platforms</li><li>Experience with experimentation platforms, A/B testing, feature evaluation, ranking systems, or optimization techniques</li><li>Experience with retail, ecommerce, search, personalization, or recommendation platforms preferred</li><li>Experience using AI agents or developer productivity tools to improve engineering effectiveness, accelerate delivery, and raise team quality</li><li>Strong understanding of modern software delivery practices, CI/CD pipelines, observability, automated testing, and production readiness</li><li>Proficient in troubleshooting complex distributed systems, analyzing logs, monitoring system health, and resolving production issues</li><li>Ability to quickly understand complex systems, identify technical risks, and guide teams toward practical solutions</li><li>Experience mentoring engineers, growing technical talent, and reinforcing strong software engineering fundamentals</li><li>Experience managing team execution, balancing workloads, setting priorities, and delivering through ambiguity</li><li>Experience working across product, data science, analytics, architecture, infrastructure, and business stakeholders in a matrixed environment</li><li>Experience translating high-level strategy into technical roadmaps, delivery plans, and measurable outcomes</li><li>Experience managing vendor relationships, third-party platforms, or external technology partners when needed</li></ul>Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 7 Preferred Years of Work Experience: 5 years of experience data and ML space Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals Business Insight: Applying knowledge of business and the marketplace to advance the organization's goals Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Develops Talent: Developing people to meet both their career goals and the organization's goals Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations Apply End Date: 06/23/2026

Software Engineer Manager, AI/ML Platforms

Delta Air Lines

<div><div><div><div><div>United States, Georgia, Atlanta
Information Technology
15-Jun-2026
Ref #: 32774
</div></div></div></div><div><div><div><div><h3 class="jobSectionHeader">How you'll help us Keep Climbing (overview &amp; key responsibilities)</h3>
</div></div><div><div>At Delta Air Lines, we are continually looking to build a high performing, self-motivated team of technologists who embrace new technologies to enhance the customer and employee experience.
We are looking for an Innovation &amp; AI Engineering Intern to design and develop machine learning and AI-based products that incorporate cutting-edge technology. Just a heads up, this isn&rsquo;t a typical engineering role.
As an Innovation &amp; AI Engineering Intern at Delta, you will own projects from day 1. You will be responsible for:
<ul><li>Engaging with business stakeholders and customers to identify problem areas</li>
<li>Developing and modifying state-of-the-art ML models to build robust and holistic solutions</li>
<li>Collaborating with other engineers, strategists, and designers to think of customer experiences that can be transformed by machine learning and AI</li>
<li>Presenting project updates to leaders across multiple business units</li>
<li>Leveraging advancements in technology and brainstorming ways to incorporate them into different areas of Delta</li>
</ul></div></div></div></div><div><div><div><div><h3 class="jobSectionHeader">Benefits and Perks to Help You Keep Climbing</h3>
</div></div><div><div><ul><li>Experience travel and culture through Delta&rsquo;s unmatched flight benefits</li>
<li>Incredibly passionate, empathetic, and truly talented team members across engineering, strategy, venture, and design functions</li>
<li>Freedom of working on a small team while having the impact of a team that drives innovation forward at a huge company</li>
<li>Excitement of working on customer-facing projects that can ship within weeks</li>
<li>Offices located in Midtown in Atlanta, adjacent to Georgia Tech campus, and near Delta HQs</li>
</ul></div></div></div></div><div><div><div><div><h3 class="jobSectionHeader">What you need to succeed (minimum qualifications)</h3>
</div></div><div><div><div><ul><li>Experience developing machine learning models (e.g., neural networks, deep reinforcement learning, gradient boosted trees, etc.) using Python, TensorFlow, PyTorch, or other machine learning platforms</li>
<li>Must be actively enrolled in an undergraduate accredited college, university, or institution during the duration of the program.</li>
<li>Understanding of machine learning best practices such as training/serving models, feature engineering, and feature/model selection</li>
<li>Knowledgeable about different machine learning domains like natural language processing, computer vision, personalization and recommendation, and anomaly detection</li>
<li>Flexibility to learn and work on things outside of your comfort zone</li>
<li>You&rsquo;re self-driven, take pride in your work, and find satisfaction in building interesting things</li>
<li>You can adapt and explain a neural network to your lead engineer and to a 5-year-old</li>
<li>You embrace different perspectives and styles of thinking</li>
<li>Demonstrates that privacy is a priority when handling personal data</li>
<li>Embraces a diverse set of people, thinking and styles</li>
<li>Consistently makes safety and security, of self and others, the priority</li> 
</ul> 
</div><ul><li>Consistently prioritizes safety and security of self, others, and personal data.
</li><li>Embraces diverse people, thinking, and styles.
</li><li>Possesses a high school diploma, GED, or high school equivalency.
</li><li>Is at least 18 years of age and has authorization to work in the United States.
</li></ul></div></div></div></div><div><div><div><div><h3 class="jobSectionHeader">What will give you a competitive edge (preferred qualifications)</h3>
</div></div><div><ul><li></li></ul></div></div></div></div><div></div>

Intern, Innovation - AI Engineering (Fall 2026)

Reachdesk

<div>
 
 
 This is a remote role.
 
 
 
 
 
 About Us
 
 
 
 Reachdesk is the first truly end-to-end global SaaS gifting and swag platform, helping B2B companies create meaningful connections with prospects, customers, and employees, while driving measurable ROI.
 
 
 We believe gifting is more than just a transaction: it&rsquo;s about building genuine human connections that fuel business growth. Whether you&rsquo;re engaging prospects, celebrating customers, or recognizing employees, our platform makes it easy to deliver personalized gifts, branded swag, and unforgettable event &amp; brand experiences at scale through automated sourcing, storage, and global delivery.
 
 
 We&rsquo;re growing, and we&rsquo;re currently looking for a Head of Business Systems &amp; Operations to join us.
 
 
 
 The Role
 
 
 
 As the Head of Business Systems &amp; Operations at Reachdesk, you will own and shape the systems and data architecture that underpin how the business operates. You will be responsible for connecting Finance, GTM, Product, and Customer teams through a single, trusted system landscape, ensuring data flows cleanly across Salesforce, NetSuite, Workato, and our BI layer. This is a high impact role where you will define how the business uses its systems, not just maintain them.
 
 
 You will join at a critical stage as we complete our closed-loop architecture and transition ownership from product into the business. You will have full autonomy to design, govern, and evolve this ecosystem while embedding AI into core workflows and decision making. This role is particularly suited to someone who enjoys creating order from complexity: building a reliable, scalable foundation that the business trusts, enabling faster decisions, stronger financial control, and a step change in operational efficiency across Reachdesk.
 
 
 
 Your Responsibilities
 
 
 
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 Own the end-to-end systems and data architecture connecting Salesforce, NetSuite, Workato, the Reachdesk SaaS platform and the BI layer.
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 Lead the transition of systems ownership into Business Operations and establish a clear operating model, governance framework, and roadmap that the business trusts and that can evolve as needs change, ensuring trusted, timely data flows across Finance, GTM, Product, and Customer teams.
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 Lead from the front by setting technical direction from being in the systems alongside your team, not just reviewing their work. Define the go-forward BI architecture, ownership model, and roadmap..
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 Complete and continuously evolve this architecture so every core process is underpinned by clean data and reliable automation.
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 Establish an AI governance framework to embed AI into core workflows and decision-making, from forecasting and pipeline insights to customer health, billing, and operational automation, delivering measurable efficiency gains.
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 Define and enforce master data management and integration standards across all systems.
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 Partner closely with Finance, RevOps, Customer Operations, and Product to translate business priorities into scalable system solutions, balancing speed of delivery with long-term architectural integrity.
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 Build, lead, and develop a small, high-performing team of systems and operations specialists, and manage external delivery partners where needed.
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 Own vendor relationships, contracts, and roadmaps for our core SaaS stack, ensuring we get value, leverage, and influence over product direction, with a focus on finding efficiencies and cost savings.
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 Define and report on system health, data quality, and operational efficiency KPIs to the executive team and Board where relevant.
 
 
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 About You
 
 
 
 You are a strategic systems leader with strong technical instincts and a pragmatic builder mentality. You see business systems as a competitive advantage, not a back-office function, and you are energized by the opportunity to shape the operating engine of a high-growth, PE-backed SaaS business. You understand the importance and value of data integrity and consistency, ensuring every department relies on the same core data and metrics. You are still in the system. You are as comfortable in a Salesforce flow, a NetSuite saved search, or a Workato recipe as you are in a strategy meeting. You believe leaders in this function lose their edge the moment they stop building, and you have no interest in becoming that person. You move comfortably between architecture decisions and detailed configuration, and you are equally at home in a conversation with the CFO, the CRO, or an engineer. You bring a hands-on operator mindset: you understand that great systems exist to make the business faster, sharper, and more accountable, and you measure your success by the decisions and outcomes they enable.
 
 
 
 
 
 
 
 Must-have Qualifications
 
 
 
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 8+ years in Business Systems, RevOps, or BizTech leadership roles within B2B SaaS, with at least 3 years leading a function or team.
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 Deep expertise across Salesforce and NetSuite, including a track record of designing and evolving the integration layer between them.
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 Strong experience with iPaaS platforms (Workato strongly preferred) and modern BI tooling.
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 Demonstrated ability to design and operate a closed-loop architecture, covering quote-to-cash, lead-to-revenue, and customer lifecycle, in a multi-entity, multi-currency environment.
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 Demonstrably hands-on within the last 12 months and can speak in concrete detail about systems you have personally configured, automations you have built, or data models you have designed.
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 Robust data governance and master data management discipline, with a clear point of view on ownership, lineage, and quality.
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 Proven track record of leading complex, cross-functional systems programs end-to-end, on time and on budget.
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 Excellent stakeholder management, particularly with Finance and GTM leadership, and the ability to translate technical decisions into commercial impact.
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 People leadership experience with a coaching mindset, and the ability to build a small team that punches above its weight.
 
 
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 Preferred Qualifications
 
 
 
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 Experience in a PE-backed, high-growth SaaS environment with tight financial control requirements.
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 Familiarity with multi-stream revenue models (e.g. SaaS combined with services, marketplace, or fulfillment) and the revenue recognition complexity they bring.
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 Experience embedding AI/ML or agentic automation into operational workflows, with named use cases, governance, adoption controls, and measurable business outcomes.
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 NetSuite and/or Salesforce certifications.
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 Experience transitioning systems ownership into a Business Operations function.
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 Background working in a scaling SaaS business, comfortable operating across time zones and entities.
 
 
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 The Benefits
 
 
 
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 Competitive salary with generous stock options
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 401(k) with employer match
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 Medical, dental &amp; vision insurance, including mental health support and fast access to care
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 Flexible PTO that increases the longer you&rsquo;re with us, plus extra flexibility for life&rsquo;s unexpected moments
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 A genuinely collaborative culture with innovative, fun, and ambitious people
 
 
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 Reachdesk believes that a diverse team helps us achieve our mission faster, and so we welcome applicants from all backgrounds. Compensation is based on standardised salary ranges by role, level, and location, benchmarked against similar-sized companies. Final offers are determined by a combination of experience, skills, and role fit, and may vary from the listed range.
 
 
 
 Privacy Policy: We process personal information submitted as part of your application in accordance with the Reachdesk Candidate Privacy Notice. Please review Reachdesk&rsquo;s Privacy Policy here:
 
 
 www.reachdesk.com/candidate-privacy-policy
 
 
 
 US Salary: $130,000 USD - $160,000 USD
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Head of Business Systems & Operations

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