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associate data scientist - tools & automation Jobs in Atlanta

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lead software engineer data

JPMorganChase

<div>JOB DESCRIPTION 
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer - Data at JPMorgan Chase within the Corporate Sector - Cloud Financial Management Technology group, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm&rsquo;s business objectives.
Job responsibilities<ul><li>
Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems</li><li>
Develops secure high-quality production code, and reviews and debugs code written by others</li><li>
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems</li><li>
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture</li><li>
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies</li><li>
Adds to team culture of diversity, opportunity, inclusion, and respect</li></ul>
Required qualifications, capabilities, and skills<ul><li>
Formal training or certification on software engineering concepts and 5+ years applied experience</li><li>
Proficiency in Python for data engineering and advanced PySpark/SparkSQL (DataFrame APIs, UDFs/pandas UDFs)</li><li>
Spark performance/tuning skills: partitioning, shuffle minimization, broadcast joins, AQE, skew handling, caching, and reliable backfills</li><li>
S3 data lake design and security: bucket/partition layout, lifecycle/versioning, SSE-KMS encryption, cross-account access, and Lake Formation/IAM</li><li>
Experience with open table formats and lakehouse patterns (e.g., Apache Iceberg, Delta Lake, Apache Hudi): table design/evolution, partitioning, snapshot/time‑travel concepts, and cross‑engine interoperability</li><li>
Experience with distributed columnar data warehouses (e.g., Redshift, BigQuery, Snowflake): dimensional modeling, performance tuning, bulk load/unload</li><li>
Hands-on practical experience delivering system design, application development, testing, and operational stability</li><li>
Proficient in all aspects of the Software Development Life Cycle</li><li>
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security</li><li>
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)</li>
In-depth knowledge of the financial services industry and their IT systems 
<li>
</li></ul>Preferred qualifications, capabilities, and skills<ul><li>
Ability to translate business requirements into data models, contracts, SLAs, and measurable outcomes with clear business impact.</li><li>
Knowledge of FinOps practices: budget/tagging discipline, right-sizing and autoscaling, storage/query cost optimization, and cost-aware design trade‑offs.</li><li>
Experience implementing data quality and reliability guardrails aligned to business SLAs (freshness, completeness, accuracy) with actionable alerting.</li><li>
DevOps/IaC for data: CI/CD for Spark/Glue jobs, Terraform/CloudFormation/CDK, git-based versioning, and blue/green or canary publishes.</li><li>
Experience building and operating AWS Glue 3.x/4.x ETL jobs and orchestrating via Step Functions or Glue Workflows.</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
<div>The Chief Technology Office oversees enabling components inclusive of the top quality engineering and architecture tools and practices, key program management and processes as well as the technology workforce strategy required to make us a leading technology company for our customers, clients and colleagues around the world. 
</div><div></div> 
<div>High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.</div></div>

Lead Software Engineer - Data

Inspire Brands

<div>We&rsquo;re looking for a Lead Mobile App Engineer (React Native) to join our Digital Technology organization. This is a senior individual contributor role that combines hands-on development with technical leadership within a team or product area.
As a Lead Engineer, you&rsquo;ll:<ul><li>Own the technical execution of complex mobile features</li><li>Lead design and implementation within your team</li><li>Mentor engineers and raise overall code quality</li><li>Partner closely with Product, Design, Backend, and QA teams</li><li>Help deliver reliable, high-quality mobile experiences used by millions of guests</li></ul>
This role is ideal for experienced mobile engineers who want to lead technically, remain deeply hands-on, and grow toward Staff-level impact over time.
RESPONSIBILITIES
Hands-On Engineering<ul><li>Design, build, and maintain mobile features using React Native, TypeScript, and JavaScript</li><li>Contribute native iOS and Android code when needed (Swift / Objective-C / Java / Kotlin)</li><li>Own feature delivery from design through release in the App Store and Google Play</li><li>Perform thoughtful code reviews focused on quality, performance, and maintainability</li><li>Troubleshoot and resolve production issues; participate in incident response as needed</li><li>Build reusable components and shared patterns for multi-brand mobile applications</li></ul>
Technical Design &amp; Architecture<ul><li>Lead technical design for features and medium-to-large initiatives</li><li>Author and review design documents and implementation plans</li><li>Apply established mobile architecture patterns (state management, navigation, offline support)</li><li>Integrate mobile apps with backend services (REST, GraphQL, authentication)</li><li>Ensure secure coding practices and data protection standards are met</li></ul>
Quality, Performance &amp; Reliability<ul><li>Optimize app performance (startup time, rendering efficiency, memory usage)</li><li>Implement and maintain observability using tools like Splunk and Firebase Crashlytics</li><li>Champion automated testing:</li></ul>
o Unit tests (Jest or similar)
o Integration and E2E tests (Maestro or similar)<ul><li>Ensure accessibility compliance (WCAG / Section 508)</li><li>Contribute to improving crash-free sessions and overall app stability</li></ul>
CI/CD &amp; Release Support<ul><li>Contribute to mobile CI/CD pipelines</li><li>Support release execution, versioning, and store submissions</li><li>Follow established release and OTA deployment practices</li></ul>
Technical Leadership &amp; Mentorship<ul><li>Act as a technical lead within your team or feature area</li><li>Mentor junior and mid-level engineers through pairing, reviews, and guidance</li><li>Lead technical discussions and influence team-level engineering decisions</li><li>Collaborate effectively with Product, Design, Backend, QA, and DevOps partners</li></ul>
EDUCATION AND QUALIFICATIONS
4 Year Degree and/or Bachelor's Degree in Information Technology or related field<ul><li>7 years of professional software engineering experience</li><li>4 years building and shipping React Native mobile applications</li><li>Proven experience delivering apps to Apple App Store and Google Play</li><li>Strong proficiency in:</li></ul>
o React Native, TypeScript, JavaScript (ES6+)
o Redux, Context API, Hooks, React Navigation<ul><li>Experience integrating mobile apps with REST and/or GraphQL APIs</li><li>Solid understanding of mobile performance, testing, and debugging</li><li>Experience working in production environments with real users at scale</li></ul>
KNOWLEDGE, SKILLS AND ABILITIES<ul><li>Experience with native mobile development (iOS and/or Android)</li><li>Familiarity with CI/CD pipelines and mobile release workflows</li><li>Experience with offline data storage (SQLite, Realm, Redux-persist)</li><li>Exposure to mobile security concepts (OAuth, secure storage)</li><li>Experience working on multi-brand or large-scale consumer app</li><li>Strong ownership and accountability for delivery</li><li>Clear communicator of technical ideas and tradeoffs</li><li>Collaborative, pragmatic problem solver</li><li>Growth-oriented mentor who helps raise team quality</li><li>Comfortable operating with moderate autonomy and guidance</li></ul> 
 
Inspire is a multi-brand restaurant company whose portfolio includes more than 33,000 Arby&rsquo;s, Baskin-Robbins, Buffalo Wild Wings, Dunkin&rsquo;, Jimmy John&rsquo;s, and SONIC restaurants worldwide. 
 
We&rsquo;re made up of some of the world&rsquo;s most iconic restaurant brands, but we&rsquo;re much more than just a restaurant company. We&rsquo;re a team of hundreds of thousands who individually and collectively are changing the way people eat, drink, and gather around the table. We know that food is much more than a staple&mdash;it&rsquo;s an experience. At Inspire, that&rsquo;s our purpose: to ignite and nourish flavorful experiences.</div>

Lead Mobile Engineer (React Native)

The Home Depot

<div>Position Purpose:
We are seeking a skilled and detail-oriented Automation Engineer to join our team in a distribution warehouse environment. The Automation Engineer will be responsible for designing, implementing, and maintaining automation systems to improve the efficiency, productivity, and accuracy of warehouse operations. This role involves working with robotic systems, automated material handling systems, conveyor systems, and warehouse management software to ensure optimal operation and minimize downtime. 
 
Key Responsibilities:<ul><li>
70% - Design and Implementation - Develop and design automation solutions for the warehouse, including robotic systems, conveyors, automated storage and retrieval systems (AS/RS), and other automated material handling systems. Project Management: Lead or assist in automation projects, ensuring that they are completed on time, within budget, and according to specifications. Data Analysis: Analyze performance data from automated systems to identify trends and optimize system performance. Continuous Improvement: Identify opportunities for improvement in warehouse automation processes to enhance productivity, reduce costs, and improve safety. Collaboration: Work closely with warehouse managers, industrial engineers, software engineers, and maintenance personnel to integrate automation systems with warehouse processes and ensure seamless operation. Training: Provide training to warehouse personnel on the use and operation of automation systems and equipment. Compliance and Safety: Ensure all automation systems and operations comply with safety regulations and industry standards.</li><li>
30% - System Maintenance - Monitor and maintain the performance of automated systems, ensuring that all equipment is functioning optimally to meet warehouse operations goals. Troubleshooting: Identify and resolve issues with automation systems, diagnosing problems and implementing corrective actions to minimize downtime and ensure smooth operations.</li></ul>
Direct Manager/Direct Reports:<ul><li>
This Position typically reports to the Manager or Sr. Manager</li><li>
This Position has up to 0 Direct Reports</li></ul>
Travel Requirements:<ul><li>
Typically requires overnight travel 20% of the time.</li></ul>
Physical Requirements:
<ul><li>Most of the time is spent sitting or standing in the same location or there may be a need to stoop regularly or move/lift light material or equipment (typically less than 8 pounds).</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 18 years of age or older</li><li>
Must be legally permitted to work in the United States</li><li>
Bachelor&rsquo;s degree in Mechanical Engineering, Electrical Engineering, Mechatronics Engineering, Industrial Engineering, Robotics, or a related field.</li><li>
At least 3 years of experience in automation engineering, preferably in a distribution or warehouse environment.</li><li>
Knowledge of robotic systems, material handling equipment, and automation technologies. Specifically Robotic Arms, Vision Systems, Lidar, AMR, AGV , Sensors, Cameras among other technologies</li><li>
Proficiency using CAD software such as AutoCAD and SolidWorks to create 3D technical drawings to be used for fabrication and assembly.</li><li>
Integrate sensors, actuators, motors, and gear systems into functional automation designs.</li><li>
Proficient with programming and debugging automation software and control systems (e.g., PLC, SCADA, HMI).</li><li>
Familiarity with warehouse management systems (WMS), warehouse controls systems (WCS), and warehouse execution systems (WES)</li><li>
Strong analytical and troubleshooting skills, with the ability to quickly identify and solve technical issues.</li><li>
Ability to manage multiple projects, prioritize tasks, and meet deadlines.</li><li>
Excellent written and verbal communication skills to effectively collaborate with cross-functional teams.</li></ul>
Preferred Qualifications:
<ul><li>Working knowledge of Microsoft Office Suite</li><li>
Working knowledge of presentation software (e.g., Microsoft PowerPoint)</li><li>
Demonstrated ability to collaborate and work effectively with cross-functional teams</li><li>
Demonstrated project management skills</li><li>
Ability to convey complex or technical ideas and processes in easy-to-understand terms to diverse audiences</li><li>
Excellent written and verbal communication skills</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>The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.</li></ul>
Minimum Years of Work Experience:<ul><li>
3 + years of previous related work experience</li></ul>
Preferred Years of Work Experience:
<ul><li>4 + years of previous related work experience</li></ul>
Minimum Leadership Experience:
<ul><li>5 + years of previous related work experience</li></ul>
Preferred Leadership Experience:
<ul><li>No previous leadership experience
</li></ul>Certifications:<ul><li>
Certifications in automation systems (e.g., Siemens, Allen-Bradley), robotics, or project management.</li></ul>
Competencies:
<ul><li>Action Oriented
</li><li>Tech Savvy
</li><li>Collaborates</li><li>
Cultivates Innovation</li><li>
Manages Complexity</li><li>
Optimizes Work Processes
</li><li>Balances Stakeholders</li><li>
Communicates Effectively</li><li>
Drives Results</li></ul></div>

Automation Engineer

<div><div><div>Position Purpose:</div><div> 
The Senior Data Engineer is an experienced individual contributor responsible for designing, building, and operating scalable data platforms and data products within the Enterprise Data Warehouse (EDW). This includes developing and maintaining core data domains, semantic layers, and enabling downstream analytics consumers. This engineer partners with staff and principal engineers to implement established architectural patterns, contribute to platform modernization efforts, and provide technical guidance through collaboration and code reviews while remaining hands‑on in complex backend data engineering work. The role emphasizes reliability, performance, cost efficiency, and analytical correctness across the EDW ecosystem.</div>
Key Responsibilities:<ul><li>
50% Delivery and Execution - Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide; Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm; Consistently achieves results, even under tough circumstances; Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production; Takes a broad view when approaching issues; using a global lens</li><li>
20% Learns and Grows - Learns through successful and failed experiment when tackling new problems; Actively seeks ways to grow and be challenged using both formal and informal development channels</li><li>
20% Plans and Aligns - Collaborates with other team members in agile processes; Creates new and better ways for the organization to be successful; Works the Product Team to ensure user stories are valuable, developer ready, easy to understand and testable; Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences; Adapts approach and demeanor in real time to match the shifting demands of different situations; Relates openly and comfortably with diverse groups of people</li><li>
10% Supports and Enables - Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Software Engineer Manager or Sr. Manager</li><li>
This position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
No travel required.</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 experience in backend data engineering or analytics platform engineering</li><li>
Strong hands-on experience with cloud data warehouses (BigQuery strongly preferred)</li><li>
Advanced SQL expertise and strong working knowledge of Python</li><li>
Proven experience designing enterprise-grade data models, including curated/ADS datasets</li><li>
Experience building and supporting semantic layers (AtScale preferred, but not required)</li><li>
Experience with universal or shared semantic modeling across multiple domains or products</li><li>
Experience with CI/CD and orchestration frameworks, including Jenkins and Airflow</li><li>
Strong understanding of performance tuning and cost optimization techniques in large data environments</li><li>
Experience designing systems for high availability, resilience, and scalability</li><li>
Ability to work across teams and influence architectural decisions without direct authority</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>
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>
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.</div> 
Apply End Date: 05/11/2026</div>

Senior Software Engineer, Supply Chain Data & Analytics (Remote)

<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>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)

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