automation machine operator

The Home Depot

<div><div><p><b>Position Purpose:</b></p><p>
The Staff Machine Learning Engineer is responsible for joining cross-functional teams (product, design, Engineering, infrastructure) to build innovative GenAI application experiences 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.<br>
Generative AI Engineers may design and implement applications using large language models (LLMs) and other generative models to embed intelligent capabilities directly into software products. Activities may include prompt engineering, model integration, building Retrieval-Augmented Generation (RAG) pipelines, and developing scalable AI services. The role may interact with business stakeholders, infrastructure teams, and development teams to ensure business requirements are effectively addressed through generative AI solutions. The role may also support evaluation, performance optimization, testing, and monitoring of AI systems in production. Additional responsibilities may include working with domain data, improving prompts and AI workflows, and creating documentation or enablement materials for generative AI solutions.</p><p><b><br>
Key Responsibilities:</b></p><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><p><b><br>
Direct Manager/Direct Reports:</b></p><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><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><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><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li>
5 - 7 years of relevant work experience</li><li>
Experience in Python and modern AI development frameworks</li><li>
Experience building Generative AI applications using large language models (LLMs)</li><li>
Experience with prompt engineering, prompt optimization, and prompt evaluation techniques</li><li>
Experience integrating AI models through APIs from platforms such as Google, OpenAI or Anthropic</li><li>
Experience with GenAI frameworks such as Google Agent Development Kit (ADK)</li><li>
Experience implementing Retrieval-Augmented Generation (RAG) pipelines using vector databases</li><li>
Experience working with vector databases such as google Vertex AI Search</li><li>
Experience with building conversational AI systems, or AI assistants</li><li>
Experience with responsible AI practices including bias mitigation and safety guardrails</li><li>
Experience working with graph databases, knowledge ingestion pipelines, and data mesh architectures to enable scalable, connected, and queryable AI knowledge systems.</li><li>
Experience implementing CI/CD pipelines, monitoring, and automated workflows for reliable AI model deployment and lifecycle management.</li><li>
Experience with monitoring, evaluation, and optimization of production AI systems</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 a front-end technology and framework such as Node.js, HTML, CCS, JavaScript, ReactJS, D3</li><li>
Experience in writing SQL queries against a relational database</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>
Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security</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><li>
Familiarity with advanced machine learning architectures GANs, GRU, LSTMs, RNNs, CNNs, style transfer</li></ul><p><b><br>
Minimum Education:</b></p><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
3</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><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><p><i>
Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit </i><i>https://careers.homedepot.com/our-benefits</i><i>.</i></p></div><p></p><p><br>
Apply End Date: 05/11/2026</p></div>

Staff Machine Learning Engineer – Generative AI (Remote)

Thermo Fisher Scientific

<div><p><b>Work Schedule</b></p>
12 hr shift/nights<p></p><p><b>
Environmental Conditions</b></p>
Able to lift 40 lbs. without assistance, Adherence to all Good Manufacturing Practices (GMP) Safety Standards, Cleanroom: no hair products, jewelry, makeup, nail polish, perfume, exposed piercings, facial hair etc... allowed, Loud Noises (Equipment/Machinery), Some degree of PPE (Personal Protective Equipment) required (safety glasses, gowning, gloves, lab coat, ear plugs etc.), Standing for full shift, Strong Odors (chemical, lubricants, biological products etc.), Will work with hazardous/toxic materials<p></p><p><b>
Job Description</b></p><p></p><div><div>
Job Description</div></div><div><div><div><div><div><div><div><div><div><p>
Rotating schedule from 7pm &ndash; 7am (10% differential for Night Shift)</p><p>
Job Description</p><p>
As part of the Thermo Fisher Scientific team, you&rsquo;ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world&rsquo;s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.<br>
<br>
Location/Division Specific Information:<br>
Within the Pharma Services Group (PSG), the High Point, NC location specializes in gelatin-based drug delivery dosage forms (softgels). Our expertise lies in the development and production of various softgel technologies.<br>
<br>
How Will You Make an Impact?:<br>
The Formulation Technician II will be responsible for operating an encapsulating machine to produce products from pre-mixed ingredients, ensuring accurate temperatures, machine settings, equipment set-ups, in-process measurements, and quality product.<br>
<br>
A Day in the Life:</p><ul><li><p>
Manufacture simple, bulk products</p></li><li><p>
Observe machine operation, adjust as needed, take samples of product, and perform in-process testing</p></li><li><p>
Assist Set-Up person to set up machine, empty basket, clean and prepare machine for changeover, and assist with the actual changeover</p></li><li><p>
Assist with cleanup and other encapsulation duties as needed</p></li><li><p>
Operate inline printing equipment</p></li></ul><p><b><br>
Education:
</b><br>
High school diploma or equivalent required.<br>
<br>
<b>Experience</b>:<br>
Required: Minimum of 1 year of work experience in a manufacturing, operations, production, lab setting or related field<br>
Preferred: Experience in a cGMP environment<br>
<br>
Knowledge, Skills, Abilities:</p><ul><li><p>
Excellent verbal and written skills</p></li><li><p>
Ability to interpret data, perform basic calculations, and troubleshoot</p></li><li><p>
Ability to work a 12-hour shift in a 24-hour, 7 day per week operation</p></li><li><p>
Meet DEA security clearance requirements if requested</p></li><li><p>
Must have the flexibility to work additional hours when needed</p></li></ul><p><br>
Physical Requirements / Work Environment</p><ul><li><p>
Must have the ability to regularly lift, push, pull, or transport items weighing up to 50 pounds</p></li><li><p>
Adherence to all GMP Safety Standards</p></li><li><p>
Cleanroom: no hair products, jewelry, makeup, nail polish, perfume, exposed piercings, facial hair etc. allowed</p></li><li><p>
Loud noises (equipment/machinery)</p></li><li><p>
Some degree of PPE required (safety glasses, gowning, gloves, lab coat, ear plugs, etc.)</p></li><li><p>
Standing for full shift</p></li><li><p>
Working at heights</p></li></ul><p><br>
What We Offer:<br>
Compensation<br>
Competitive Pay<br>
Performance Related Bonus where eligible<br>
Annual merit performance-based increase<br>
Excellent Benefits<br>
Medical benefits<br>
Paid Time Off/Annual Leave<br>
Employee Referral Bonus<br>
Career Advancement Opportunities</p></div></div></div></div></div></div></div></div></div></div><p></p>

Encapsulation Machine Operator - Nights

ATS Corporation

<div></div><div><div><b>Position Title:</b> Water Jet Operator, NCC Automated Solutions</div><div><b>
Location:</b> Souderton, Pennsylvania</div><div><b>
Reports to: </b>Fabrication Supervisor, NCC Automated Solutions</div><div></div><div><br>
We are looking for people who share our values.</div><div>
People who love to innovate.</div><div>
People who thrive on challenge.</div><div>
People who love to create and own.</div><div>
Sound like you?</div><div></div><div><br>
Take your place among the best in the business and grow your career with NCC, and ATS Company. Join an environment where a passion for innovation combines with an uncompromised commitment to quality.</div><div></div><div><b><br>
About ATS NCC:</b></div><div></div><div><br>
NCC Automated Systems is a Full-Service Automation Systems Integrator with over 30 years of experience. Since 1986, NCC has successfully helped food processing, consumer packaged goods and OEM machine builders streamline and optimize their production with its system knowledge and industry experience with sanitary conveying equipment. NCC proudly manufactures in the U.S., in addition to integrating some of the world&rsquo;s best automation equipment solutions, we also offer in house mechanical and electrical design and manufacturing.</div><div></div><div><br>
NCC merged with ATS Automation in September 2021. ATS is an industry-leading automation solutions provider to many of the world&rsquo;s most successful companies. Founded in 1978, ATS employs over 6,000 people at 50 manufacturing facilities and over 75 offices in North America, Europe, Southeast Asia and China. Our unique track record of innovation and passion for excellence sets us apart as the world&rsquo;s leader in automation. This comes from years of experience in helping many of the world&rsquo;s most successful manufacturers with their new product launches, capacity expansions, and productivity improvement initiatives.</div><p></p><p><b><br>
Position Summary</b></p><p>
The Water Jet Operator is a critical member of the Fabrication team, responsible for setting up, programming, and operating water jet (and laser, where applicable) equipment to produce high-quality components that meet engineering and customer requirements. This role requires strong attention to detail, the ability to interpret engineering drawings, and a commitment to safety, quality, and continuous improvement. The Water Jet Operator directly supports production throughput, quality performance, and on-time delivery.</p><p></p><p><b><br>
</b><b> </b><b>SPECIFIC RESPONSIBILITIES:</b></p><p><b>
A) Water Jet / Laser Operations</b></p><ul><li>
Set up, program, and operate water jet and laser cutting equipment in accordance with engineering drawings and work instructions.
</li><li>Select appropriate materials, tooling, and machine parameters to ensure quality and efficiency.
</li><li>Perform program prove-outs and make minor adjustments to ensure dimensional accuracy.</li></ul><p><b>
B) Drawing Interpretation &amp; Quality</b></p><ul><li>
 Read and interpret 2D mechanical drawings exported from 3D SolidWorks models, including orthographic projections and part parameters.
</li><li>Inspect finished parts to verify dimensional accuracy and quality requirements.
</li><li>Identify nonconforming parts and communicate issues to the Fabrication Supervisor or Team Leader to support timely resolution.</li></ul><p></p><p><b><br>
C) Secondary Operations &amp; Finishing</b></p><ul><li>
Perform basic secondary operations such as tapping, countersinking, and counterboring.
</li><li>Clean and deburr finished parts to meet quality and safety standards.</li></ul><p></p><p><b><br>
D) Manufacturing Engineering Support</b></p><ul><li>
Provide hands-on support for troubleshooting fabrication and machining processes.</li><li>
Develop and maintain process documentation, work instructions, and standard work.</li><li>
Support continuous improvement projects to reduce cycle time, reduce scrap, and increase throughput.</li><li>
Participate in design‑for‑manufacturability reviews with engineering.</li></ul><p><b>
E) Equipment Care &amp; Safety</b></p><ul><li>
Perform routine machine maintenance and required preventative maintenance tasks.
 </li><li>Follow all safety procedures, good manufacturing practices, and ergonomic guidelines.
 </li><li>Maintain a clean, organized, and safe work area.</li></ul><p></p><p><b><br>
F) Teamwork &amp; Continuous Improvement</b></p><ul><li>
Collaborate effectively with fabrication, engineering, and quality team members.
</li><li>Contribute ideas to improve processes, reduce rework, and increase efficiency.
</li><li>Adapt to changing priorities in a fast-paced manufacturing environment.</li></ul><p></p><p><b><br>
Required Qualifications</b></p><ul><li>
Minimum 1 year of experience operating water jet and/or laser cutting equipment.
</li><li>Ability to read and interpret mechanical drawings and specifications.
</li><li>Strong attention to detail with a focus on producing accurate parts with minimal rework.
</li><li>Ability to work independently while following established instructions and procedures.
 </li><li>Positive attitude and strong teamwork skills.
</li><li> Manual dexterity and ability to lift up to 50 lbs.</li></ul><p></p><p><b><br>
Preferred Qualifications</b></p><ul><li>
Experience working from SolidWorks-generated drawings.
</li><li>Exposure to fabrication environments supporting high-mix, low-volume production.
</li><li>Prior involvement in continuous improvement initiatives.</li></ul><p></p><p><b><br>
Key Performance Indicators (KPIs)</b></p><ul><li>
Part quality and first-pass yield.
</li><li>Adherence to production schedules and throughput targets.
</li><li>Rework and scrap reduction.
</li><li>Compliance with safety and housekeeping standards.
</li><li>Contribution to continuous improvement efforts.</li></ul><p><b>
Benefits Include</b></p><ul><li>
401(k) with company matching</li><li>
Health, dental, and vision insurance</li><li>
Health Savings Account (HSA) and Flexible Spending Account (FSA)</li><li>
Paid time off</li><li>
Life and disability insurance</li><li>
Bonus program</li><li>
Employee stock purchase</li><li>
Referral program</li></ul><p><b>
Schedule:</b></p><ul><li>
Day shift</li><li>
Monday through Friday</li></ul></div><p></p>

Water Jet Operator

<div>
 Req172339
 <br/>
 <br/>
 <strong>
  Position Purpose
  <br/>
  <br/>
 </strong>
 The Machine Learning Engineer II is responsible for designing, building, integrating, optimizing, and maintaining AI-powered applications that leverage generative models and overall product lifecycle for a product that our users love. Generative AI Engineers are expected to collaborate closely with teammates as they develop and deliver user stories while supporting AI-powered products as they evolve. Generative AI Engineers may design and implement applications using large language models (LLMs) and other generative models to embed intelligent capabilities directly into software products. Activities may include prompt engineering, model integration, building Retrieval-Augmented Generation (RAG) pipelines, and developing scalable AI services. The role may interact with business stakeholders, infrastructure teams, and development teams to ensure business requirements are effectively addressed through generative AI solutions. The role may also support evaluation, performance optimization, testing, and monitoring of AI systems in production. Additional responsibilities may include working with domain data, improving prompts and AI workflows, and creating documentation or enablement materials for generative AI solutions.
 <br/>
 <br/>
 Generative AI Engineers should be able to work independently with minimal guidance, while collaborating with cross-functional teams of varying skill levels to design, deploy, and maintain production AI applications. This role may review submitted code and prompt implementations, providing feedback and improvements based on engineering and responsible AI best practices.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <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 "destructive testing" 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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Direct Manager/Direct Reports
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   This Position typically reports to Software Engineer Manager or Sr Software Engineer Manager
  </li>
  <li>
   This Position has 0 Direct Reports
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Travel Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Typically requires overnight travel 5% to 20% of the time.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Physical Requirements
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Working Conditions
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Must be eighteen years of age or older.
  </li>
  <li>
   Must be legally permitted to work in the United States.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   1&ndash;3 years of relevant work experience in Generative AI, Machine Learning, or AI application development Experience in Python and modern AI development frameworks Experience building Generative AI applications using large language models (LLMs) Experience with prompt engineering, prompt optimization, and prompt evaluation techniques Experience integrating AI models through APIs from platforms such as Google, OpenAI or Anthropic Experience with GenAI frameworks such as Google Agent Development Kit (ADK) Experience implementing Retrieval-Augmented Generation (RAG) pipelines using vector databases Experience working with vector databases such as google Vertex AI Search Familiarity with building conversational AI systems, or AI assistants Familiarity with responsible AI practices including bias mitigation and safety guardrails Familiarity with REST APIs, microservices architecture, and scalable AI system deployment Familiarity implementing CI/CD pipelines, monitoring, and automated workflows for reliable AI model deployment and lifecycle management. Familiarity with monitoring, evaluation, and optimization of production AI systems
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Education
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Education
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   No additional education
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Years Of Work Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   1
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Years Of Work Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   No additional years of experience
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Leadership Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   None
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Leadership Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   None
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Certifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   None
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Competencies
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit https://careers.homedepot.com/our-benefits.
  <br/>
  <br/>
 </em>
 Apply End Date: 05/11/2026
</div>


Machine Learning Engineer II – Generative AI (Remote)

<div><div><p><b>Position Purpose:</b></p><p>
The Machine Learning Engineer II is responsible for designing, building, integrating, optimizing, and maintaining AI-powered applications that leverage generative models and overall product lifecycle for a product that our users love. Generative AI Engineers are expected to collaborate closely with teammates as they develop and deliver user stories while supporting AI-powered products as they evolve. Generative AI Engineers may design and implement applications using large language models (LLMs) and other generative models to embed intelligent capabilities directly into software products. Activities may include prompt engineering, model integration, building Retrieval-Augmented Generation (RAG) pipelines, and developing scalable AI services. The role may interact with business stakeholders, infrastructure teams, and development teams to ensure business requirements are effectively addressed through generative AI solutions. The role may also support evaluation, performance optimization, testing, and monitoring of AI systems in production. Additional responsibilities may include working with domain data, improving prompts and AI workflows, and creating documentation or enablement materials for generative AI solutions.<br>
<br>
Generative AI Engineers should be able to work independently with minimal guidance, while collaborating with cross-functional teams of varying skill levels to design, deploy, and maintain production AI applications. This role may review submitted code and prompt implementations, providing feedback and improvements based on engineering and responsible AI best practices.</p><p><b><br>
Key Responsibilities:</b></p><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><p><b><br>
Direct Manager/Direct Reports:</b></p><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><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><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><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li>
1&ndash;3 years of relevant work experience in Generative AI, Machine Learning, or AI application development<br>
Experience in Python and modern AI development frameworks<br>
Experience building Generative AI applications using large language models (LLMs)<br>
Experience with prompt engineering, prompt optimization, and prompt evaluation techniques<br>
Experience integrating AI models through APIs from platforms such as Google, OpenAI or Anthropic<br>
Experience with GenAI frameworks such as Google Agent Development Kit (ADK)<br>
Experience implementing Retrieval-Augmented Generation (RAG) pipelines using vector databases<br>
Experience working with vector databases such as google Vertex AI Search<br>
Familiarity with building conversational AI systems, or AI assistants<br>
Familiarity with responsible AI practices including bias mitigation and safety guardrails<br>
Familiarity with REST APIs, microservices architecture, and scalable AI system deployment<br>
Familiarity implementing CI/CD pipelines, monitoring, and automated workflows for reliable AI model deployment and lifecycle management.<br>
Familiarity with monitoring, evaluation, and optimization of production AI systems</li></ul><p><b><br>
Minimum Education:</b></p><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
1</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><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><p><i>
Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit </i><i>https://careers.homedepot.com/our-benefits</i><i>.</i></p></div><p></p><p><br>
Apply End Date: 05/11/2026</p></div>

Robinhood

<div><div><h2 class="jobSectionHeader"><b>Join us in building the future of finance.</b></h2>
<p>
Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you're ready to be at the epicenter of this historic cultural and financial shift, keep reading.</p></div><p><b>
About the team + role</b><br>
We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.</p>
<p>
The Agentic AI team builds agentic AI systems that power intelligent, reliable customer experiences across Robinhood products. The team focuses on reducing the time to ship agents with fine-tuned models and while doing so enables other teams to build, evaluate, and improve their own agents. You will contribute to a culture grounded in first-principles thinking, high performance, and strong focus on customer outcomes!</p>
<p>
As a Staff Machine Learning Engineer (IC6), you will define and uphold the quality bar for agentic systems across the organization. You will design evaluation frameworks, guide model selection, and partner with product, data science, and engineering teams to ensure systems meet clear standards for correctness, safety, latency, and user satisfaction. Your work will shape how agentic systems are built, evaluated, and improved across Robinhood!</p>
<p>
This role is based in our Bellevue, WA or Menlo Park, CA office, with in-person attendance expected at least 3 days per week.</p>
<p>
At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.</p>
<div><b>
What you'll do</b><br>
<ul><li>Define and implement evaluation frameworks that measure agent performance, including task success, correctness, tool usage reliability, latency, safety, and user satisfaction</li><li>Evaluate frontier and fine-tuned models across quality, latency, cost, and edge cases to determine appropriate use cases</li><li>Partner with product managers, data scientists, and engineers to translate evaluation results into clear launch criteria for agentic systems</li><li>Analyze production issues, identify root causes, and prioritize improvements to increase system reliability and performance</li><li>Build visibility into agent performance through metrics, monitoring, and reporting that inform roadmap decisions</li></ul></div>
<div><b>
What you bring</b><br>
<ul><li>You have deep experience defining and measuring quality for agentic or machine learning systems using evaluation frameworks, datasets, and scorecards</li><li>You have experience evaluating large language models or similar systems, including understanding tradeoffs in performance, cost, and latency</li><li>You have demonstrated ability to analyze production issues and lead initiatives that improve system quality across multiple teams</li><li>You are comfortable working with engineers, data scientists, and product partners to deliver measurable improvements in system performance</li><li>You have experience building or operating systems in regulated environments or working with AI evaluation and observability tools (nice to have)</li></ul></div>
<div><b>
What we offer</b><br>
<ul><li>Challenging, high-impact work to grow your career</li><li>Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching</li><li>Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents</li><li>Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more</li><li>Employer-paid life &amp; disability insurance, fertility benefits, and mental health benefits</li><li>Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!</li><li>Exceptional office experience with catered meals, events, and comfortable workspaces</li></ul></div><div><p>
Click here to learn more about our Total Rewards, which vary by region and entity.</p>
<p>
If our mission energizes you and you're ready to build the future of finance, we look forward to seeing your application.</p>
<p>
Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work&mdash;welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.</p></div></div>

Staff Machine Learning Engineer, Agentic

PharMerica

<div>Our Company:
<div>
PharMerica</div><div></div>
Overview:
<div>
The <b>Pharmacy Automation Support Specialist</b> works under the supervision of Manager, Automation primarily supporting pharmacy backend distribution and system integration with automated dispensing machines. This role requires a combination of technical expertise, analytical skills, and excellent communication abilities.</div><div></div><div><br>
The <b>ideal candidate</b> will have a minimum of 3 years of experience in non-retail pharmacy operations. Must be able to install, maintain, and support on-site pharmacy equipment.</div><div></div><div><b><br>
Travel:</b> 50-75%</div><div><b>
Remote</b>: Able to reside anywhere within the Continental USA.</div><div><b>
Schedule</b>: Monday - Friday, hours are per business needs.</div><div></div><div><b><br>
We offer:</b></div><div>
Competitive pay</div><div>
Health, dental, vision and life insurance benefits</div><div>
Company paid STD and LTD</div><div>
Employee Discount Program</div><div>
401k</div><div>
Paid-time off</div><div>
Tuition reimbursement</div><div>
Non-retail/Closed-door environment</div><br>
<div></div>
Responsibilities:
<ul><li>Assists with automated dispensing machine integrations</li><li>
Proficient in dispense methods and pharmacy workflow associated with pharmacy automation</li><li>
Supports the installation of new units and relocation of existing units</li><li>
Gathers, analyzes, and interprets data, detects patterns, makes recommendations surrounding machine optimization</li><li>
Conducts regular performance reports and formulary reviews for automated dispensing machines</li><li>
Proactively identify opportunities for process optimization and automation system enhancements</li><li>
Trains on staff on troubleshooting, best practices, cleaning procedures, preventive maintenance tasks, and ticketing protocols</li><li>
Monitors use of system and machines ensuring proper utilization, adherence to policy and procedure</li><li>
Provides ongoing support and guidance to Pharmacy Automation Technicians to optimize machine performance and minimize downtime</li></ul>
Qualifications:
<ul><li>High School diploma required/ Associate Degree or greater preferred</li><li>
3+ years as an Operator or higher on commercially available or proprietary pharmacy system focused on Long Term Care or Institutional pharmacy</li><li>
Foundational knowledge in Institutional or Long-term Care Pharmacy</li><li>
Communication &ndash; Intermediate</li><li>
Microsoft Office Suite &ndash; Intermediate</li><li>
Devoted to a task or purpose with integrity</li><li>
Curious, detail-oriented, and a quick learner</li><li>
Capable of carrying out a given task with all details necessary to get the task done well</li><li>
Demonstrates eagerness and interest</li><li>
Works well as a member of a team</li><li>
Detail-oriented mindset with a commitment to upholding quality standards and best practices.</li><li>
Inspired to perform well by the ability to contribute to the success of a project and the organization</li><li>
Strong customer focus, ability to deeply understand customers and their needs</li><li>
Excellent communication skills</li></ul><br>
<p></p>
About our Line of Business: PharMerica, an affiliate of BrightSpring Health Services, delivers personalized pharmacy care through dedicated local teams, serving health care providers such as skilled nursing facilities, senior living communities, and hospitals. We also cater to individuals with behavioral needs, infusion therapy needs, seniors receiving in-home care, and patients with cancer. Operating long-term care, home infusion, and specialty pharmacies across the nation, we combine the personal touch of a neighborhood pharmacy with the resources of a national network. Our comprehensive solutions, backed by industry-leading technology and regulatory expertise, ensure accurate medication access, cost control, and compliance with best-in-class clinical standards. We are committed to enhancing resident health, reducing staff burdens, and supporting our clients' success. For more information, visit www.pharmerica.com. Follow us on Facebook, Twitter, and LinkedIn. Additional Job Information:
<ul><li>This is a remote position with Nationwide travel to pharmacies, greater than 50%</li></ul></div><div></div>

Pharmacy Automation Support Specialist I

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