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Automl Engineer Jobs

5 jobs found

1mo ago

Machine Learning Engineer

Amazon.com Services LLC Seattle, WA

Seattle, WA

1mo ago Closed

$144k - $214k/yr Full time Ad Tech Ai Ml Artificial Intelligence

This position is no longer accepting applications (closed Jul 19, 2026).

Job Description

Amazon's CreativeX RAPID team in Seattle, onsite, is seeking a Machine Learning Engineer to advance real-time ad personalization and scalable deployment of ML models for Dynamic Creative Optimization using generative AI, LLMs, RL, and computer vision. This role translates research into production-ready systems that power dynamic creatives at scale.

Responsibilities

Rapidly learn and apply new Generative AI technologies to tackle complex problems within the Dynamic Creative Optimization domain.
Investigate design approaches, prototype new technologies, and evaluate their feasibility, including AutoML and real-time ML serving systems.
Collaborate with scientists to design and build data pipelines capable of processing massive datasets and scaling machine learning models.
Develop and maintain platforms for developing, evaluating, and deploying machine learning models for real-world applications.

Requirements

3+ years of professional software development experience (non-internship).
2+ years of design or architecture experience for new or existing systems, focusing on design patterns, reliability, and scaling.
Experience programming with at least one software programming language.

Technologies

AutoML
latent diffusion models
large language models (LLM)
reinforcement learning
computer vision

Benefits

Sign-on payments and restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave

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1mo ago

Senior Machine Learning Engineer, Sponsored Products and Brands Relevance

Amazon.com Services LLC Palo Alto, CA

Palo Alto, CA

1mo ago Closed

$193k - $262k/yr Full time Ai Ml Amazon Ads Artificial Intelligence

This position is no longer accepting applications (closed Jul 17, 2026).

Job Description

Based in Palo Alto, CA on site, this Senior Machine Learning Engineer role centers on real-time ML serving for Sponsored Products and Brands Relevance. You will help shape technical direction, mentor engineers, and advance ad relevance using deep learning, NLP/LLMs, and distributed systems at Amazon scale. The position offers a compensation range of USD 193,300 to 261,500 per year and a comprehensive benefits package designed to support health, financial security, and work-life balance.

Benefits and culture

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave

Responsibilities

Set the technical direction for ML solutions across deep learning, AWS infrastructure, AutoML, and real-time serving systems
Design, develop, and own scalable offline ML pipelines and online serving components that process billions of requests per day with millisecond latency
Collaborate closely with applied scientists to optimize model performance, boost ML productivity, and strengthen the technical foundation that powers scientific innovation
Troubleshoot and support high-volume, low-latency distributed systems, taking ownership of what you build
Mentor junior engineers to deliver high-impact products and services for Amazon customers and sellers
Make technology choices that balance innovation velocity with operational excellence and business needs

Qualifications

8+ years of non-internship professional software development experience
10+ years of programming experience in at least one software language
5+ years leading design or architecture of new and existing systems, including design patterns, reliability, and scaling
Experience as a mentor, tech lead, or leading an engineering team
Knowledge of machine learning and LLM fundamentals, including transformer architectures, training/inference lifecycles, and optimization techniques
5+ years building large-scale ML infrastructure for online recommendation, ads ranking, personalization, or search
Demonstrated ability to drive technical decisions across teams and deliver end-to-end from design through production deployment

Technologies

PyTorch
TensorFlow
SageMaker
Triton
vLLM
Spark
AutoML
AWS

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1mo ago

Staff Machine Learning Engineer

Home Depot / THD Atlanta, GA 🇺🇸 Remote

Atlanta, GA

1mo ago Closed

$120k - $190k/yr Full time Automl Cloud Operations DevOps

This position is no longer accepting applications (closed Jun 30, 2026).

Job Description

Join Home Depot / THD in a remote-friendly role based in Atlanta, GA, where you will lead production machine learning initiatives at scale. This position offers a competitive salary range of $120,000 to $190,000 and the opportunity to shape model development, deployment, monitoring, and lifecycle management across the ML stack. You will collaborate with cross-functional teams, engage in ongoing learning, and participate in conferences and communities of practice to stay at the forefront of technology.

Responsibilities

Partner with UX, engineering, and product management teams to design secure, reliable, and scalable ML solutions.
Collaborate with the Product Team to craft user stories that are clear for developers, easy to understand, and testable.
Configure off the shelf solutions to meet evolving business needs.
Develop dashboards, logging, alerts, and response plans to proactively identify and address issues.
Engage in learning activities around modern software design, ML, and core development practices through communities of practice.
Continuously explore articles, tutorials, and videos to stay informed about new technologies and industry best practices.
Attend conferences to assess how new innovations can be applied where appropriate.
Analyze business trends and behavioral data to identify opportunities for improvement and new initiatives.
Lead evaluations and recommendations of technology products and platforms to deliver cost-effective solutions that meet requirements.
Research and design suitable infrastructure, network, database, security, and ML architectures for products.
Create and maintain monitoring and support tools.
Contribute to project planning and management across multiple efforts.
Develop formal training courses.
Answer questions from other product or support teams and foster cross-team collaboration.
Provide production application support and monitor service level objectives for products.
Review performance and capacity of production components, including code, infrastructure, data, messaging, and prediction quality.

Requirements

Must be eighteen years of age or older.
Must be legally permitted to work in the United States.

Technologies

Python
SQL
Git
Linux / Unix
Google Cloud Platform
Vertex AI
BigQuery / BigQueryML / AutoML
Jupyter Notebooks
Pandas / SciPy / Scikit-learn
Gensim
TensorFlow / PyTorch
REST
CI/CD
Datastore

Travel Requirements

Typically requires overnight travel 5% to 20% of the time.

Physical Requirements

Most time spent seated with occasional movement; light items may be lifted on rare occasions.

Working Conditions

Located in a comfortable indoor environment; adverse conditions are infrequent and not objectionable.

Minimum Education

High School Diploma or GED

Preferred Qualifications

3 to 6 years of relevant work experience.
Proven ability to design, train, evaluate, and deploy ML models in production, including batch and real-time inference.
Experience with ML lifecycle management, including feature engineering, versioning, experimentation, validation, and monitoring for data drift and model degradation.
Experience building and operating ML pipelines using cloud-native services, data platforms, and CI/CD practices for reproducible deployments.
Strong grasp of statistics, model evaluation metrics, and tradeoffs among accuracy, interpretability, latency, and cost.
Familiarity with algorithms such as clustering, forecasting, anomaly detection, and neural networks.
Experience with NLP, CNNs, autoencoders, GANs, embeddings, and related architectures.
Experience training models with very large datasets and integrating ML tools (Jupyter, Pandas, SciPy, Scikit-learn, Gensim, TensorFlow, PyTorch) into scalable systems.
Experience with Google Cloud Platform components (Vertex AI, BigQueryML, AutoML) and data engineering practices with BigQuery and datastore.
Proficiency in Python, SQL, Git, Linux/Unix, and CI/CD toolchains; REST and scalable web service design.
Production systems design awareness, including high availability, disaster recovery, performance, efficiency, and security.
Familiarity with modern ML architectures including GANs, GRUs, LSTMs, RNNs, CNNs, and style transfer.

Minimum Education

High School Diploma or GED

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1mo ago

Machine Learning Engineer II, Sponsored Products Search Sourcing, Amazon Advertising

Amazon.com Services LLC New York, NY

New York, NY

1mo ago Closed

$158k - $214k/yr Full time Ad Tech Automl AWS

This position is no longer accepting applications (closed Jun 29, 2026).

Job Description

Amazon Advertising is hiring a Machine Learning Engineer II for Sponsored Products Search Sourcing, onsite in New York, NY.

Responsibilities

Define the direction of technical solutions across diverse technologies, including deep learning, AWS, AutoML, and real-time ML serving systems.
Architect, develop, and deploy production software to support scalable offline ML pipelines and online serving components.
Collaborate with applied scientists to optimize model performance, boost ML productivity, and strengthen the technical foundation enabling scientific innovation; take ownership of your deliverables.

Requirements

At least 3 years of professional software development experience (non‑internship).
At least 2 years of design or architecture experience for new and existing systems, including design patterns, reliability, and scaling.
Proficiency in at least one programming language.
Proven track record delivering complex software systems to customers.
Education: Bachelor's degree.

Technologies

AWS
Auto ML

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription)
401(k) matching
Paid time off
Parental leave
Basic Life and AD&D insurance with option for supplemental life plans
Adoption and Surrogacy Reimbursement coverage
Mental Health Support
Flexible Spending Accounts
Employee Assistance Program (EAP)
Medical Advice Line

About the Team

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond.
We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis.

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1mo ago

Staff Machine Learning Engineer

The Home Depot Atlanta, GA 🇺🇸 Remote

Atlanta, GA

1mo ago Closed

$120k - $190k/yr Full time Artificial Intelligence Automl Cloud

This position is no longer accepting applications (closed Jun 21, 2026).

Job Description

Join The Home Depot as a Staff Machine Learning Engineer in Atlanta with remote options. You will lead ML software engineers, provide technical leadership on scalable ML systems, and drive production deployment, monitoring, and lifecycle management of ML solutions at scale, in collaboration with product teams. This role offers a salary range of USD 120,000 to 190,000 per year, a strong benefits package, and the opportunity to shape ML initiatives across the organization.

Responsibilities

Delivery and Execution - Collaborate with UX, engineering, and product management to design secure, reliable, and scalable machine learning solutions; ensure user stories are developer-ready, clear, and testable; tailor off-the-shelf solutions to evolving business needs; build dashboards, logging, alerting, and response workflows to capture and address issues proactively.
Learning - Engage in ongoing learning of modern software design and ML practices; review articles, tutorials, and videos; attend conferences to apply new innovations where appropriate.
Strategy and Planning - Analyze business trends and behavioral data to identify opportunities; lead evaluation and recommendation of technology products and platforms to meet requirements; design suitable infrastructure, data, security, and ML architectures; create and maintain tooling to support teams.
Support and Enablement - Provide cross-team support, monitor tools, and promote collaboration; deliver production application support; monitor production service level objectives; assess performance, capacity, and prediction quality across code, infrastructure, data, and model outputs.

Requirements

Minimum age: 18 years old.
Legal authorization to work in the United States.
Education: High School Diploma or GED.
Experience: 3 years of relevant work experience.

Preferred Qualifications

3 to 6 years of relevant work experience with strong experience designing, training, evaluating, and deploying ML models in production, including batch and real-time inference.
Experience with ML lifecycle management, including feature engineering, model versioning, experimentation, validation, and monitoring for data drift and performance degradation.
Experience building and operating ML pipelines using cloud-native services, data platforms, and CI/CD for reproducible deployments.
Solid understanding of applied statistics and model evaluation metrics, balancing accuracy, interpretability, latency, and cost.
Experience with algorithms such as clustering, forecasting, anomaly detection, and neural networks; familiarity with NLP, CNNs, autoencoders, and embeddings.
Experience training models on very large datasets; proficient with data analysis tools such as Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, TensorFlow, PyTorch.
Experience with Google Cloud Platform and AI/ML components such as Vertex AI, BigQueryML, AutoML; strong data engineering practices with BigQuery, Data Store.
Proficiency in Python, SQL, Git, Linux/Unix; familiarity with CI/CD toolchains; REST and scalable web service design; production systems with high availability, disaster recovery, performance, security.
Understanding of advanced ML architectures including GANs, GRU, LSTMs, RNNs, CNNs, and style transfer.

Technologies

Google Cloud Platform
Vertex AI
BigQueryML, AutoML
Jupyter Notebooks, Pandas, SciPy, Scikit-learn
Gensim, TensorFlow, PyTorch
Python, SQL, Git
Linux, Unix
BigQuery, Data Store
REST, CI/CD
GANs, GRU, LSTMs, RNNs, CNNs, Style transfer

Benefits

Paid parental leave to bond with your new addition
401(K) savings plan with company match
Merit increases and performance bonuses
On-the-spot recognition and rewards for a job well done
Bonus Eligible
401(k) Company Matching
Employee Stock Purchase Program

Reporting structure

This position typically reports to a Software Engineer Manager or Senior Software Engineer Manager and has zero direct reports.

Travel

Typically requires overnight travel 5% to 20% of the time.

Physical and Working Conditions

Most of the time is spent seated in a comfortable indoor environment; there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Located in a comfortable indoor area with infrequent unpleasant conditions.

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Automl Engineer Jobs

Machine Learning Engineer

Senior Machine Learning Engineer, Sponsored Products and Brands Relevance

Staff Machine Learning Engineer

Machine Learning Engineer II, Sponsored Products Search Sourcing, Amazon Advertising

Staff Machine Learning Engineer

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