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software engineer

Happy Returns, a UPS Company

<div>
 At Happy Returns, we&rsquo;re transforming the most frustrating part of online shopping &mdash; returns &mdash; into a fast, easy, and delightful experience. Our technology powers seamless returns and exchanges for leading retailers and millions of shoppers.
 <br/>
 <br/>
 As a Software Engineer, you&rsquo;ll help build the systems that make returns effortless. You&rsquo;ll work alongside experienced engineers, learn modern tools and frameworks, and contribute directly to projects that improve reliability, performance, and customer satisfaction. You&rsquo;ll thrive here if you&rsquo;re curious, adaptable, and excited to grow in an environment that&rsquo;s always evolving.
 <br/>
 <br/>
 <strong>
  Your day to day
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Take ownership of the successful implementation and delivery of new features and projects using a variety of modern languages and frameworks such as Golang, TypeScript, React, and PostgreSQL
  </li>
  <li>
   Actively participate in system architecture discussions and technical design reviews to ensure the scalability, reliability, and security of the Happy Returns system
  </li>
  <li>
   Enforce clean code and excellent coding practices by conducting thoughtful code reviews
  </li>
  <li>
   Learn from senior engineers, contribute to knowledge-sharing sessions, and continuously expand your technical and problem-solving skills as you grow into more complex projects
  </li>
  <li>
   Collaborate with Product Managers to translate business goals into technical outcomes
  </li>
  <li>
   Use AI-assisted development tools to accelerate coding, debugging, testing, and documentation workflows.
  </li>
  <li>
   Support the health and stability of our systems through thoughtful testing, monitoring, and debugging so we can achieve our mission of making returns beautiful for Shoppers, Retailers, and the Planet
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  The ideal candidate will have....
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   1-3 years of experience in full stack web application development
  </li>
  <li>
   Experience designing, implementing, and testing REST APIs
  </li>
  <li>
   The ability to efficiently ship clean, maintainable, and well-tested code
  </li>
  <li>
   A strong interest in joining a highly collaborative environment and working daily with Product Managers, DevOps, and QA Engineers
  </li>
  <li>
   You&rsquo;re curious and adaptable, always ready to explore new technologies, and introduce tools that make the team more effective.
  </li>
  <li>
   A self-starter mindset with the ability to learn independently and thrive in a fully remote work environment
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus points if you have....
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with server-side languages such as Go or Python
  </li>
  <li>
   Proficiency in a modern JavaScript framework such as React
  </li>
  <li>
   Familiarity with database technology such as PostgreSQL, and Dynamo DB.
  </li>
  <li>
   Experience with Docker, Kubernetes, and AWS
  </li>
  <li>
   Interest in e-commerce, logistics, and/or sustainability
   <br/>
   <br/>
  </li>
 </ul>
 This is a fully remote position and is not limited to candidates located in Georgia
 <br/>
 <br/>
 <strong>
  EEO Statement
  <br/>
  <br/>
 </strong>
 Integrated into our shared values is Happy Returns&rsquo; commitment to diversity. Happy Returns is committed to being a globally inclusive company where all people are treated fairly, recognized for their individuality, promoted based on performance and encouraged to strive to reach their full potential. We believe in understanding and respecting differences among all people. This concept encompasses but is not limited to human differences with regard to race, ethnicity, religion, gender, culture and physical ability. Every individual at Happy Return has an ongoing responsibility to respect and support a globally diverse environment.
 <br/>
 <br/>
 <strong>
  Visa Sponsorship
  <br/>
  <br/>
 </strong>
 We do not offer Visa sponsorship or transfer for this role.
 <br/>
 <br/>
 <strong>
  Statement to Third Party Agencies
  <br/>
  <br/>
 </strong>
 To all recruitment agencies: Happy Returns only accepts resumes from agencies on the UPS preferred supplier list. Happy Return is not responsible for any fees or charges associated with unsolicited resumes.
</div>


Software Engineer (Remote)

Capgemini

<div><div><div><p>Atlanta</p><div>
Senior AI Engineer - Senior Software Engineer</div><p>
</p></div></div><p></p><div><div><div><div><div><p>
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p><div><div><div><div>
Location</div></div><div><p>
This is a hybrid role based across multiple locations - Atlanta, Nashville, Chicago, Dallas, New jersey</p></div></div><div><div><div>
About the job you're considering</div></div><div><p>
The Capgemini team offers extensive career opportunities and provides mentoring and coaching for teammates. This role is an experienced professional with a strong background in software development.</p></div></div><div><div><div>
Your role</div></div><div><div><ul><li><br>
Guide best practices for containerization, scalability, and reliability</li><li>Collaborate with architects, developers, and stakeholders in agile teams</li></ul></div><p>
</p></div></div><div><div><div>Your skills and experience</div></div><div><ul><li>
Design AI-assisted language generation for producing clear, plain-language draft messages.</li><li>
Implement draft message generation service within the validation pipeline.</li><li>
Auto-generate draft text at the end of each validation run.</li><li>
Generative AI Integration (specifically text generation/RAG), Serverless Compute (Cloud Run/Functions), Document Processing, and API Integration.</li></ul><p>
</p><p>#LI-RM1</p></div></div></div><p>
The base compensation range for this role in the posted location is: $76,200 - $ 187,740.</p><p>
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p><p>
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p><p>
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p><p>
It is not typical for candidates to be hired at or near the top of the posted compensation range.</p><p>
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><p>
</p><p>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
</p><ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li></ul><ul><li>
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li><li>
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li><li>
Life and disability insurance</li><li>
Employee assistance programs</li><li>
Other benefits as provided by local policy and eligibility</li></ul><p>
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><p>
</p><p>Disclaimers</p><p>
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p><p>
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p><p>
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p><p></p><p><br>
</p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p><p>
</p></div></div><div><div><div><div><div>Ref. code</div><div>
422352-en_GB</div></div><div><div>
Posted on</div><div>
19 Feb 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Atlanta</div></div><div><div>
Business unit</div><div>
ABL AMERICAS</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Software Engineering</div></div></div></div></div></div></div></div></div><p></p>

Senior AI Engineer - Senior Software Engineer

NiCE Actimize

<div><div><p>At NiCE, we don&rsquo;t limit our challenges. We challenge our limits. Always. We&rsquo;re ambitious. We&rsquo;re game changers. And we play to win. We set the highest standards and execute beyond them. And if you&rsquo;re like us, we can offer you the ultimate career opportunity that will light a fire within you.</p></div><div><p><b>
Overview</b></p>
<p><b>
We are hiring a Senior Data Engineer to support our engineering data initiatives while collaborating with teams across SLC and Pune. The Senior Engineer will work closely with the Lead Engineer and key partners across the organization to execute critical components of our data strategy.</b></p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Develop, optimize, and maintain data pipelines and data platform components.</li>
</ul><ul><li>Implement solutions supporting data federation, semantic modeling, and data governance frameworks.</li>
</ul><ul><li>Collaborate with Engineering, Analytics, and Product teams to deliver highquality data assets.</li>
</ul><ul><li>Apply AIdriven tools to accelerate development and improve data quality and productivity.</li>
</ul><ul><li>Investigate and adopt emerging data technologies aligned with organizational strategy.</li>
</ul><ul><li>Operate independently and deliver consistent results within distributed team environments.</li>
</ul>
<p><b>Required Technical Background</b></p><br>
<p></p>
<ul>
<li>Strong expertise with Snowflake (highest priority).</li>
</ul><ul><li>Hands-on experience with Kafka, Flink, Spark, and Airflow.</li>
</ul><ul><li>Experience with semantic layers (e.g., Cube).</li>
</ul><ul><li>Experience with federated data layers (e.g., Trino).</li>
</ul><ul><li>Knowledge of distributed systems and modern data engineering patterns.</li>
</ul><ul><li>Proficiency with AI tools supporting data engineering workflows.</li></ul><br>
<p></p>
<p><b>
Preferred Qualifications</b></p>
<ul>
<li>Experience supporting or contributing to largescale data initiatives.</li>
</ul><ul><li>Strong selfdirection, problemsolving abilities, and eagerness to learn new technologies.</li>
</ul><ul><li>Solid communication and collaboration skills across remote teams.</li></ul></div><p></p><div><p><b><i><br>
About NiCE
</i></b></p><p><i>NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
</i></p><p><i>Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
</i></p><p><i>NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.</i></p></div></div><p></p>

Senior Software Engineer,CX – Platform Data

The Home Depot

<div><b>Position Purpose:</b><p>
The Software Engineer II is responsible for independently developing and assisting in the design of a product that our customers and associates love. As a Software Engineer II, you will be part of a dynamic team with engineers of all experience levels who help each other build and grow technical and leadership skills while creating, deploying, and supporting production applications. In addition, Software Engineer IIs may be involved in configuration, security, resilience, performance tuning and production monitoring.</p><b><br>
Key Responsibilities:</b><ul><li>
60% Delivery and Execution - Collaborates and pairs with other 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; 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>
20% Learning - Actively seeks ways to grow and be challenged using both formal and informal development channels; Learns through successful and failed experiment when tackling new problems</li><li>
20% Plans and Aligns - Collaborates with other team members in agile processes; Assists in creating new and better ways for the team to be successful; Relates openly and comfortably with diverse groups of people; Builds partnerships and works collaboratively with others to meet shared objectives</li></ul><br>
<b>
Direct Manager/Direct Reports:</b><ul><li>
This position typically repots to Software Engineer Manager or Sr. Manager</li><li>
This position has 0 Direct Reports</li></ul><br>
<b>
Travel Requirements:</b><ul><li>
No travel required.</li></ul><br>
<b>
Physical Requirements:</b><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><br>
<b>
Working Conditions:</b><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
</li></ul><br>
<b>Minimum Qualifications:</b><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><br>
<b>
Preferred Qualifications:</b><ul><li>
1-3 years of relevant work experience</li><li>
Experience in writing SQL queries against a relational database</li><li>
Experience in version control systems</li><li>
Experience in front end technology such as HTML, CSS, and Javascript/Typescript frameworks</li><li>
Experience in an object-oriented programming language (preferably Java)</li><li>
Experience in source code version control</li><li>
Experience in Relational or noSQL database technology</li><li>
Experience in cloud computing techniques</li><li>
Experience in CI/CD tools</li><li>
Experience in microservice-based architecture</li><li>
Experience with modern debugging and root cause analysis techniques</li><li>
Exposure to security frameworks for user and services authorization and authentication</li><li>
Exposure to creating and executing unit, functional, destructive and performance tests</li></ul><br>
<b>
Minimum Education:</b><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><br>
<b>
Preferred Education:</b><ul><li>
No additional education</li></ul><br>
<b>
Minimum Years of Work Experience:</b><ul><li>
2</li></ul><br>
<b>
Preferred Years of Work Experience:</b><ul><li>
No additional years of experience</li></ul><br>
<b>
Minimum Leadership Experience:</b><ul><li>
None</li></ul><br>
<b>
Preferred Leadership Experience:</b><ul><li>
None</li></ul><br>
<b>
Certifications:</b><ul><li>
None</li></ul><br>
<b>
Competencies:</b><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>

Software Engineer II, Technology Asset Management (REMOTE)

<div><p><b>Position Purpose:</b></p><p>
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.</p><p><br>
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.</p><p><br>
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</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>
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><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></div><p></p>

Staff Machine Learning Engineer (Remote)

<div><p><b>Position Purpose:</b></p><p>
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.</p><p><br>
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.</p><p><br>
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.</p><p><b><br>
Key Responsibilities:</b></p><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><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>
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><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>
2</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></div><p></p>

Senior Machine Learning Engineer (Remote)

<div><b>Position Purpose:</b><p>
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.<br>
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.<br>
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.</p><b><br>
Key Responsibilities:</b><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><br>
<b>
Direct Manager/Direct Reports:</b><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><br>
<b>
Travel Requirements:</b><ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul><br>
<b>
Physical Requirements:</b><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><br>
<b>
Working Conditions:</b><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
</li></ul><br>
<b>Minimum Qualifications:</b><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><br>
<b>
Preferred Qualifications:</b><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><br>
<b>
Minimum Education:</b><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul><br>
<b>
Preferred Education:</b><ul><li>
No additional education</li></ul><br>
<b>
Minimum Years of Work Experience:</b><ul><li>
1</li></ul><br>
<b>
Preferred Years of Work Experience:</b><ul><li>
No additional years of experience</li></ul><br>
<b>
Minimum Leadership Experience:</b><ul><li>
None</li></ul><br>
<b>
Preferred Leadership Experience:</b><ul><li>
None</li></ul><br>
<b>
Certifications:</b><ul><li>
None</li></ul><br>
<b>
Competencies:</b><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)

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