distinguished engineer, material handling systems

manager, workforce enablement (equipment services)

distinguished engineer, material handling systems Jobs in Atlanta

engineer, systems reliability Jobs in Atlanta

engineer, systems reliability

engineering tech

manager, workforce enablement (equipment services) Jobs in Atlanta

material handler - 1st shift Jobs in Atlanta

material handler - 1st shift

distinguished engineer material handling systems

The Home Depot

<div>Position Purpose:
Distinguished Engineers are recognized as experts in one or more domains within the organization and across the industry, serving as senior technical authorities with a strong track record of influencing, mentoring, and growing other technical leaders. They connect teams through collaboration and champion opportunities to improve efficiency, reliability, and technical excellence across the enterprise.
The Distinguished Engineer &ndash; Conveyor Controls serves as the highest-level technical authority for conveyor control system support across the organization. This role provides strategic technical leadership across the architecture, design, reliability, and lifecycle management of conveyor control systems, ensuring operational excellence, system availability, and safe, efficient material handling operations. The position leads advanced troubleshooting, reliability improvement initiatives, and maintenance support strategies to support long-term platform stability.
In partnership with engineering, maintenance, operations, IT/OT teams, senior leaders, vendors, and partners, this role helps shape the go-forward technology direction for conveyor control platforms by driving standardization, innovation, continuous improvement, and the adoption of new technologies across the enterprise. 
Key Responsibilities:<ul><li>
30% Strategy &amp; Planning:</li><li>
Works with senior leaders to shape the go-forward vision for the organization from a specific domain perspective</li><li>
Works with vendors and partners on the successful strategy, planning, and implementation of critical tooling and platforms</li><li>
Participates in and influences development of technology roadmaps across the enterprise</li><li>
Evaluates new technologies for adoption across the enterprise</li><li>
Drives thought leadership and innovation within the organization</li><li>
30% Support &amp; Enablement:</li><li>
Fields questions from product, project and support teams</li><li>
Evangelizes successful usage of tooling and technologies with teams</li><li>
Monitors tools and leads conversations to encourage collaboration across product teams</li><li>
Learns, through reading, tutorials, relationships, and videos, new technologies and best practices being used in other organizations</li><li>
25% Delivery &amp; Execution:</li><li>
Teaches, mentors, grows, and advises other domain experts in the organization (including direct reports, if applicable)</li><li>
Documents, reviews and ensures that all quality and change control standards are met</li><li>
Works with vendors and partners on the successful planning and implementation of critical tooling and platforms</li><li>
Understands and articulates the value creation and business proposition to teams and functional partners</li><li>
Participates in and leads review board sessions to drive consistency across the enterprise</li><li>
15% People:</li><li>
Acts as a point of escalation for teams facing extremely complex challenges</li><li>
Participates in and leads learning activities within the organization</li><li>
Connects teams facing similar challenges and problems to encourage consistency</li><li>
Presents at and attends conferences and learns how to apply new technologies and concepts</li><li>
Capable of jumping into a variety of teams to resolve issues</li><li>
Provides leadership, mentoring, and coaching to direct reports (if applicable)</li><li>
Conducts annual and mid-year reviews, reviewing individual development plans and providing performance feedback (if applicable)</li><li>
Attracts, retains, develops, and motivates top talent (applicable if incumbent has direct reports)</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This role typically reports to Sr. Director or Vice President and may have a small number of non-manager direct reports with VP approval.</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel up to 50% of the time.</li></ul> 
Physical Requirements:<ul><li>
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.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li><li>
Must be legally permitted to work in the United States</li></ul> 
Preferred Qualifications:<ul><li>
8-10 years of relevant work experience</li><li>
Professionally recognized by peers and leaders in the organization for significant expertise within a specific domain</li><li>
Mastery of problem solving, innovation, vision, judgement, and leadership within a specific domain</li><li>
Track record of noteworthy innovation and execution that shaped the direction of an organization and/or the industry within a specific domain</li><li>
Track record of teaching, mentoring, growing and advising other domain experts inside and outside of the organization</li><li>
Capable of understanding complicated systems quickly</li><li>
Active participation in or leadership of professional groups affiliated with a specific domain</li><li>
Mastery in assigned domain</li></ul> 
Minimum Education:<ul><li>
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.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
8</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm</li><li>
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs (applicable if incumbent has direct reports)</li><li>
Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals (applicable if incumbent has direct reports)</li><li>
Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Courage: Stepping up to address difficult issues, saying what needs to be said</li><li>
Cultivates Innovation: Creating new and better ways for the organization to be successful</li><li>
Decision Quality: Making good and timely decisions that keep the organization moving forward</li><li>
Develops Talent: Developing people to meet both their career goals and the organization's goals (applicable if incumbent has direct reports)</li><li>
Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives (applicable if incumbent has direct reports)</li><li>
Drives Results: Consistently achieving results, even under tough circumstances</li><li>
Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action</li><li>
Global Perspective: Taking a broad view when approaching issues; using a global lens</li><li>
Manages Complexity: Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems</li><li>
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder</li><li>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li><li>
Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations</li><li>
Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies</li><li>
Tech Savvy: Anticipating and adopting innovations in business-building digital and technology applications</li></ul></div>

Distinguished Engineer, Material Handling Systems

<div>Position Purpose:
The Lab Technician plays a crucial role in the Global Brand &amp; Product Development team, requiring meticulous attention to detail, strong technical skills, and effective communication. Collaborating with Product Engineering, Product Development, and Quality teams, they contribute to project goals, providing essential support for new product development, and production performance. Responsibilities encompass constructing test rigs, executing testing, and reviewing results. 
Key Responsibilities:<ul><li>
70% Test Execution - Execute product testing following protocols in accordance with applicable test standards. This will include, but not be limited to, tests for: functional safety, mechanical operation, environmental conditions, reliability, performance, failure modes, and usability. Set up test rigs and document test procedures based on both internal and industry standards. Ensure test design follows lab Standard Operating Procedures (SOP) as applicable and that all activities are completed on time.</li><li>
10% Data Evaluation - Document test data clearly and accurately, following Standard Operating Procedures. Evaluate test failures, determine root causes, and recommend appropriate corrective actions. Work with Test Engineer and/or Test Supervisor to determine any additional testing needed.</li><li>
10% Project Planning - Participate on project teams and work directly with Product Engineers and Test Engineer to understand product and determine applicable testing. Offer input on suitable test rigs, recommend modifications to improve testing plans' effectiveness, and contribute to discussions on test methods, techniques, and tools.</li><li>
5% Automation - Basic skills in developing code for PLC, PID and or Raspberry pi.</li><li>
5% Maintenance - Participate in 5S organization in the lab and ensure work area(s) meet 5S standards.</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Position reports to Lab Manager</li><li>
This position has 0 direct reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 5% of the time.</li></ul> 
Physical Requirements:<ul><li>
Requires intermittent periods during which continuous physical exertion is required, such as walking, standing, stooping, climbing, and lifting material or equipment, some of which may be heavy or awkward.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Working knowledge of Microsoft Office Suite</li><li>
Excellent written and verbal communication skills</li><li>
Proven experience in a testing or laboratory environment.</li><li>
Familiarity with 5S principles and continuous improvement methodologies.</li><li>
Strong attention to detail and accuracy in data recording.</li><li>
Ability to follow SOPs and WIs precisely.</li><li>
Excellent organizational and time-management skills.</li><li>
Possess excellent written, listening, and verbal communication skills</li><li>
Experience handling multiple concurrent project assignments</li><li>
Proficient with Microsoft Excel, Word, PowerPoint, and Outlook</li><li>
Experience designing and building test rigs and fixtures</li><li>
Proficient in the use of hand and measurement tools such as hammers, screwdrivers, drills, bandsaws, calipers, micrometers, and scales</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
2</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
No previous leadership experience</li></ul> 
Preferred Leadership Experience:<ul><li>
No previous leadership experience</li></ul> 
Certifications:<ul><li>
Technical certification in a related field is a plus.</li></ul> 
Competencies:<ul><li>
Action Oriented</li><li>
Decision Quality</li><li>
Tech Savvy</li><li>
Collaborates</li><li>
Customer Focus</li><li>
Drives Results</li></ul></div>

Engineering Tech

<div>Position Purpose:
The Machine Learning Engineer II is responsible for joining a product team and contributing to the software design, algorithm design, and overall product lifecycle for a product that our users love. The engineering process is highly collaborative. ML Engineers are expected to pair daily as they work through user stories and support products as they evolve. 
ML Engineers may be involved in designing and implementing AI/ML algorithms to embed directly into software products. Activities may include using specific HD process techniques, integration, design, and development. The role could interface with Business Stakeholders, Technology Infrastructure teams, and Development teams to ensure that business requirements are properly met within a machine learning solution. The role may also be involved in performance tuning, testing, and product monitoring. Other responsibilities may include performing customer outreach, designing ML educational material, and data engineering. 
ML Engineers should be able to operate independently with minimum guidance from others, although will typically work as part of a team with varying skill levels to create, support, and deploy production applications. This role will review submitted code and provide feedback to improve, based on best practices. 
Key Responsibilities:<ul><li>
65% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions; Documents, reviews, and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do &quot;destructive testing&quot; to ensure adequate resiliency in production; Program configuration/modification and setup activities on large projects using HD approved methodology; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively</li><li>
15% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations</li><li>
20% Support and Enablement - Fields questions from other 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; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality</li></ul> 

Direct Manager/Direct Reports:<ul><li>
This Position typically reports to Software Engineer Manager or Sr Software Engineer Manager</li><li>
This Position has 0 Direct Reports</li></ul> 

Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 

Physical Requirements:<ul><li>
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.</li></ul> 

Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 

Preferred Qualifications:<ul><li>
1 - 3 years of relevant work experience</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc</li><li>
Experience in modern web application framework such as Node.js</li><li>
Experience in a front-end technology and framework such as HTML, CCS, JavaScript, ReactJS, D3</li><li>
Experience in writing SQL queries against a relational database</li><li>
Experience in version control systems (preferable Git)</li><li>
Familiarity with algorithms such as clustering, forecasting, anomaly detection, and neural networks.</li><li>
Familiarity with basic statistics and regression algorithms</li><li>
Familiarity with advanced statistics such as bayesian statistics</li><li>
Familiarity with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc.</li><li>
Familiarity with Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and AutoML</li><li>
Familiarity with a Linux or Unix based environment</li><li>
Familiarity with a CI/CD toolchain</li><li>
Familiarity with REST and effective web service design</li><li>
Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security</li></ul> 

Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul> 

Preferred Education:<ul><li>
No additional education</li></ul> 

Minimum Years of Work Experience:<ul><li>
1</li></ul> 

Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 

Minimum Leadership Experience:<ul><li>
None</li></ul> 

Preferred Leadership Experience:<ul><li>
None</li></ul> 

Certifications:<ul><li>
None</li></ul> 

Competencies:<ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul></div>

Machine Learning Engineer II (Remote)

<div><div>Position Purpose:
Oversees, maintains, and repairs equipment as well as other facility structures in a complex, warehouse environment. 
Key Responsibilities:<ul><li>
50% Troubleshoots and repairs electric lift equipment, conveyor systems, as well as technical, mechanical hydraulic and pheumatic issues where needed. Understands and troubleshoots conveyor operating system logic</li><li>
20% Performs preventative maintenance as well as necessary modifications on electric lift equipment, conveyor systems and buildings.</li><li>
10% Provides equipment status report, including details of unusual maintenance problems.
</li><li>10% Follows all safety guidelines established by manufacturer, Home Depot, or government agencies. Adheres to all safety codes and OSHA standards</li><li>
10% Maintains safe and clean working environment, performing daily cleanup of work areas</li></ul> 

Direct Manager/Direct Reports:<ul><li>
This position reports to Area Supervisor.
</li><li>This position has 0 direct reports.</li></ul> 

Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 

Physical Requirements:<ul><li>
Must continuously stand or walk or regularly requires lifting/handling/carrying material or equipment of moderate weight (8-20 pounds).</li></ul> 

Working Conditions:<ul><li>
Typically in a comfortable environment but with regular exposure to factors such as temperature extremes, moving machinery, loud noise, and fumes which cause noticeable discomfort or a moderate risk of accident or illness.
</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 

Preferred Qualifications:<ul><li>
Experience working on conveyor systems</li><li>
Must be able to work a flexible schedule which may include weekends, evenings, and holidays</li></ul> 

Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a trade school degree program or equivalent degree in a field of study related to the job.</li></ul> 

Preferred Education:<ul><li>
No additional education</li></ul> 

Minimum Years of Work Experience:<ul><li>
1</li></ul> 

Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 

Minimum Leadership Experience:<ul><li>
None</li></ul> 

Preferred Leadership Experience:<ul><li>
None</li></ul> 

Certifications:<ul><li>
None</li></ul> 

Competencies:<ul><li>
Experience working with general engine parts</li><li>
Basic computer skills</li><li>
Mechanical inclination</li></ul></div> 
Apply End Date: 04/27/2026</div>

DC 5829 Maintenance Technician

<div>Position Purpose:
The Sr Machine Learning Engineer is responsible for joining a product team and contributing to the software design, algorithm design, and overall product lifecycle for a product that our users love. The engineering process is highly collaborative. Sr ML Engineers are expected to pair daily as they work through user stories and support products as they evolve. 
ML Engineers may be involved in designing and implementing AI/ML algorithms to embed directly into software products. Activities may include using specific HD process techniques, integration, design, and development. The role could interface with Business Stakeholders, Technology Infrastructure teams, and Development teams to ensure that business requirements are properly met within a machine learning solution. The role may also be involved in performance tuning, testing, and product monitoring. Other responsibilities may include performing customer outreach, designing ML educational material, and data engineering. 
Sr ML Engineers should be able to operate independently though will typically work as part of a team with varying skill levels to create, support, and deploy production applications. This role will review submitted code and provide feedback to improve, based on best practices. 
Key Responsibilities:<ul><li>
70% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions; Documents, reviews, and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do &quot;destructive testing&quot; to ensure adequate resiliency in production; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively</li><li>
10% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations</li><li>
20% Support and Enablement - Fields questions from other 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; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This Position typically reports to Software Engineer Manager or Sr. Software Engineer Manager</li><li>
This Position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
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.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
2 - 4 years of relevant work experience</li><li>
Experience to algorithms such as clustering, forecasting, anomaly detection, and neural networks.</li><li>
Experience to basic statistics and regression algorithms</li><li>
Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc</li><li>
Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc- Experience in a modern scripting language (preferably Python)</li><li>
Experience with GPU acceleration (i.e. CUDA and cuDNN)</li><li>
Experience in modern web application framework such as Node.js</li><li>
Experience in a front-end technology and framework such as HTML, CCS, JavaScript, ReactJS, D3</li><li>
Experience in writing SQL queries against a relational database</li><li>
Experience in version control systems (preferable Git)</li><li>
Experience in a Linux or Unix based environment</li><li>
Experience in a CI/CD toolchain</li><li>
Experience in REST and effective web service design</li><li>
Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security</li><li>
Familiarity with NoSQL databases</li><li>
Familiarity with cloud computing platform and associated automation patterns and machine learning services they provide</li><li>
Familiarity with defensive coding practices and patterns for high Availability</li><li>
Familiarity with A/B testing and effective REST design for scalable web services architecture</li><li>
Familiarity with advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
2</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul></div>

Senior Machine Learning Engineer (Remote)

<div>Position Purpose:
The Staff Machine Learning Engineer is responsible for joining a product team and contributing to the software design, algorithm design, and overall product lifecycle for a product that our users love. The engineering process is highly collaborative. Staff ML Engineers are expected to pair daily as they work through user stories and support products as they evolve. 
ML Engineers may be involved in designing and implementing AI/ML algorithms to embed directly into software products. Activities may include using specific HD process techniques, integration, design, and development. The role could interface with Business Stakeholders, Technology Infrastructure teams, and Development teams to ensure that business requirements are properly met within a machine learning solution. The role may also be involved in performance tuning, testing, and product monitoring. Other responsibilities may include performing customer outreach, designing ML educational material, and data engineering. 
Staff ML Engineers will be a core player on the product team and are expected to build and grow skillsets of more junior engineers. You will also be able to drive multiple ML initiatives by directing algorithm and technology product design 
Key Responsibilities:<ul><li>
45% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions, Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively</li><li>
15% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations; Attends conferences and learns how to apply new innovations and technologies where appropriate</li><li>
20% Strategy and Planning - Researches and analyzes business trends and behavioral data to identify opportunities for improvement and new initiatives; Leads the evaluation development and recommendation of specific technology products and platforms to provide cost-effective solutions that meet business and technology requirements; Researches and designs best fit infrastructure, network, database, security, and machine learning architectures for products; Proactively creates and maintains tools for monitoring and support; Participates in project planning and management across multiple efforts; Develops formal training courses</li><li>
20% Support and Enablement - Fields questions from other 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; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This Position typically reports to Software Engineer Manager or Sr Software Engineer Manager</li><li>
This Position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
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.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
3 - 6 years of relevant work experience</li><li>
Experience to algorithms such as clustering, forecasting, anomaly detection, and neural networks.</li><li>
Experience to basic statistics and regression algorithms</li><li>
Experience in advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization</li><li>
Experience in training machine learning models with extremely large datasets</li><li>
Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc.</li><li>
Experience with GPU acceleration (i.e. CUDA and cuDNN)</li><li>
Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and AutoML</li><li>
Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Experience in modern web application framework such as Node.js</li><li>
Experience in a front-end technology and framework such as HTML, CCS, JavaScript, ReactJS, D3</li><li>
Experience in writing SQL queries against a relational database</li><li>
Experience in version control systems (preferable Git)</li><li>
Experience in a Linux or Unix based environment</li><li>
Experience in a CI/CD toolchain</li><li>
Experience in REST and effective web service design</li><li>
Experience in production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security</li><li>
Experience in NoSQL databases</li><li>
Experience in cloud computing platform and associated automation patterns and machine learning services they provide</li><li>
Experience in defensive coding practices and patterns for high Availability</li><li>
Experience in A/B testing and effective REST design for scalable web services architecture</li><li>
Familiarity with advanced machine learning architectures GANs, GRU, LSTMs, RNNs, CNNs, style transfer</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
3</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul></div>

Staff Machine Learning Engineer (Remote)

<div>Position Purpose:
Purpose: The Senior Logistics Analyst &ndash; Infrastructure Systems is responsible for data management, analyzing performance, identifying problems, and developing recommendations that support Logistics management. Solves problems by considering courses of action within the framework of business goals and standards. Operates with minimal supervision and once given general assignments, prioritizes and executes tasks. Provides and communicates recommendations to upper management. Mentors and guides Logistics Analysts in daily work tasks. Must be a self starter, detail oriented, able to support and lead multiple projects, possess excellent communication skills, work well with a team, interact with multiple levels and functions with the Logistics organization, and able to manage vendor/business relationships. The Senior Logistics Analyst &ndash; Infrastructure Systems is a critical individual contributor role supporting the expansion and acceleration of the Self‑Perform Maintenance (SPM) initiative across Supply Chain facilities. This role serves as a dedicated systems and program resource within the Infrastructure Systems and Supply Chain Infrastructure teams, with a strong focus on Maximo system development, deployment, and run‑the‑business (RTB) support. As program demand and facility coverage continue to grow, this role will enable faster delivery of new system capabilities, improved field execution, and more robust troubleshooting and reporting&mdash;relieving capacity constraints on existing resources and unlocking further program scalability. Lead design, configuration, and enhancement of Maximo to support expansion of the Self‑Perform Maintenance initiative. Develop and deploy new functionality across areas such as: Material Handling Equipment (MHE) repairs, Parts and Inventory Management, Yard truck Asset Management, Asset Lifecycle Planning and Maintenance strategies and partner with internal stakeholders to translate evolving end‑user needs into scalable system solutions 
Key Responsibilities:<ul><li>
25% Utilizes quantitative skills to create and analyze reports to support business execution. Supports the business through ad-hoc queries, and maintains reports from a variety of resources as specific to department or organizational needs</li><li>
25% Develops business tools and solutions based on knowledge, product or technology. Identifies Logistics process improvement opportunities through strategic thinking, critical thinking and analysis</li><li>
20% Provides recommendations to senior management. Mentors and guides Logistics Analysts</li><li>
20% Performs data management through data mining/data modeling/data analysis/cost/benefit analysis/process mapping/%/or problem analysis while executing day to day processes related to area of responsibility. Develops &amp; maintains cost estimates, forecasts, and cost models. Supports business through ad-hoc queries &amp; maintains reports</li><li>
10% Manages vendor/business partner relationships</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position reports to Manager of Sr Manager</li><li>
This position has no Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
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.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Industrial Engineering, Business Administration, Math or Finance Degree Master's Degree</li><li>
Experience with Six Sigma or other Process Improvement Methodology</li><li>
Proficient in: Microsoft Office Suite including Access, Excel, Powerpoint, Project, Word and Visio.</li><li>
Advanced Skills in: Mini-Tab, Access, SQL, Visual Basic Skills for Data Acquisition and Analysis, Visio-Process Mapping Skills</li><li>
Project Management Skills</li><li>
Finance/CBA/Capital Budget Experience</li></ul> 
Minimum Education:<ul><li>
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.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
3</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
None</li></ul></div>

Sr. Logistics Analyst, Infrastructure Systems

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