Machine Learning Engineer

Machine Learning Engineer Jobs

211 jobs found

Today

Lead AI Engineer (FM Hosting, LLM Inference)

Capital One New York, NY

New York, NY

Today

$215k - $246k/yr Full time AI Ai Ml Artificial Intelligence

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Job Description

Capital One's IFX team is seeking a Lead AI Engineer to drive foundation model training, large language model inference, and the design, development, and deployment of AI powered products. This onsite role in New York, NY blends hands-on engineering with cross-functional collaboration to redefine how associates work and how customers interact with Capital One. The position offers a salary range of USD 215,200 to 245,600 per year.

Responsibilities

Collaborate with engineers, research scientists, technical program managers, and product managers across functions to deliver AI driven products that transform how associates work and how customers interact with Capital One.
Design, build, test, deploy, and maintain AI software components including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
Utilize a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
Develop and apply state-of-the-art LLM optimization techniques to improve the performance metrics of large-scale production AI systems, including scalability, cost, latency, and throughput.
Contribute to the technical vision and long-term roadmap for foundational AI systems at Capital One.

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields, with at least 4 years of experience developing AI and ML algorithms or technologies.
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields, with at least 2 years of experience developing AI and ML algorithms or technologies.
At least 4 years of experience programming with Python, Go, Scala, or Java.
6 years of experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or an equivalent private cloud.
Experience designing, developing, delivering, and supporting AI services.
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang.
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost.
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production.

Technologies

Python
Go
Scala
Java
AWS Ultraclusters
Huggingface
VectorDBs
Nemo Guardrails
PyTorch

Benefits

Health benefits
Financial benefits
Incentives including performance-based incentive compensation (cash bonuses and/or long-term incentives)

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Today

Senior Lead AI Engineer (LLM Gateway, FM Hosting)

Capital One New York, NY

New York, NY

Today

$251k - $286k/yr Full time Senior AI Artificial Intelligence

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Job Description

Overview

Capital One is committed to building reliable and responsible AI systems that transform banking for good. The company has a history of leveraging machine learning to provide real time, personalized experiences, supported by strong infrastructure and top talent to stay at the forefront of AI in enterprise settings.

Team Description

The Intelligent Foundations and Experiences team sits at the heart of turning AI visions into reality at Capital One. We collaborate with partners across the organization to push the boundaries of AI engineering, developing proprietary solutions that drive value for millions of customers. Our models and platforms empower product teams to incorporate AI into their products and experiences.

Responsibilities

Collaborate with a cross functional group of engineers, researchers, program managers, and product managers to deliver AI driven products that transform how associates work and how customers engage with Capital One.
Design, build, test, deploy, and maintain AI software components such as foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
Utilize a broad mix of Open Source and SaaS AI technologies including AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
Develop and apply advanced LLM optimization techniques to enhance performance, scalability, cost, latency, and throughput of large scale production AI systems.
Contribute to the technical vision and long term roadmap for foundational AI systems at Capital One.

Technologies

AWS Ultraclusters
Huggingface
VectorDBs
Nemo Guardrails
PyTorch
Python
Go
Scala
Java

Benefits

Health benefits
Performance-based incentive compensation including cash bonuses and long term incentives

The Ideal Candidate

Enjoys building systems with a strong focus on quality and has a desire to do the right thing while improving banking through technology.
Keeps up with the latest AI research and can translate scientific findings into practical production techniques.
Works well in ambiguous situations, asking questions to uncover root causes and clearly communicating findings; willing to share new ideas even when unproven.
Is deeply technical with a solid foundation in engineering and mathematics, and can spot optimization opportunities across hardware, software, and AI.
Actively pursues new paths to achieve business goals when the route is not obvious and remains resilient through challenges.

Basic Qualifications

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field plus at least 6 years of AI/ML development experience, or a Master’s degree in the same fields plus at least 4 years of AI/ML experience.
At least 6 years of programming experience in Python, Go, Scala, or Java.

Preferred Qualifications

Seven years of experience deploying scalable and responsible AI solutions on cloud platforms (AWS, Google Cloud, Azure, or equivalent private cloud).
Experience designing, developing, integrating, delivering, and supporting complex AI systems.
Ability to lead and mentor an engineering team and influence cross functional stakeholders.
Experience developing AI/ML algorithms or technologies such as LLM inference, similarity search and vector databases, guardrails, and memory using Python, C++, C#, Java, or Golang.
Experience optimizing training and inference software to improve hardware utilization, latency, throughput, and cost.
Strong interest in AI research and systems, with skill in applying novel techniques in production.
Excellent communication and presentation skills, capable of articulating complex AI concepts to peers.

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Today

AWS AI Engineer

Hudson Manpower Waukesha, WI 🇺🇸 Remote

Waukesha, WI

Today

Full time Artificial Intelligence Automation AWS

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Job Description

Hudson Manpower is seeking a senior AWS AI Engineer to drive production AI and ML initiatives on AWS from Waukesha, Wisconsin, with remote work options. The role centers on building scalable AI/ML applications, emphasizing retrieval-augmented generation, fine-tuning large language models, and crafting cloud-native microservices that align with business goals.

Responsibilities

Direct, hands-on work with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
Implement AWS cloud services across infrastructure, machine learning, and AI platform services.
Develop LLM-based applications, including Retrieval-Augmented Generation (RAG) using LangChain and related frameworks.
Build cloud-native microservices, APIs, and serverless functions to enable intelligent automation and real-time data processing.
Collaborate with internal stakeholders to translate business goals into secure, scalable AI systems.
Own the software release lifecycle, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code (Terraform).
Support the development and evolution of reusable platform components for AI/ML operations.
Create and maintain technical documentation for the team and internal customers.
Exhibit excellent verbal and written communication skills in English.

Requirements

At least seven years of hands-on software engineering experience with a strong focus on Python.
Experience with AWS services, especially Bedrock or SageMaker.
Familiarity with fine-tuning large language models or building datasets and deploying ML models to production.
Demonstrated experience with AWS Organizations and policy guardrails (SCP, AWS Config).
Solid experience implementing RAG architectures and using LangChain.
Experience in Infrastructure as Code best practices and building Terraform modules for AWS cloud.
Strong background in Git-based version control, code reviews, and DevOps workflows.
Proven success delivering production-ready software with release pipeline integration.

Technologies

Python, Bedrock, SageMaker, ECS, Lambda, Step Functions, DynamoDB, S3
LangChain, Transformers, PyTorch, TensorFlow
Terraform, Terraform Sentinel, Git, GitHub
Hugging Face, Node.js, Golang

Top Skills

Must Have
- AWS services - Bedrock, SageMaker, ECS and Lambda
- Demonstrated experience with AWS Organizations and policy guardrails (SCP, AWS Config)
- Experience implementing RAG architectures and using ML tooling like Transformers, PyTorch, TensorFlow, and LangChain
- Infrastructure as Code best practices and building Terraform modules for AWS
- Fine-tuning large language models, building datasets, and deploying ML models to production
- Git-based version control, code reviews, and DevOps workflows
- Proven ability to deliver production-ready software with release pipeline integration
Nice To Have
- AWS or relevant cloud certifications
- Policy as Code development (Terraform Sentinel)
- Experience with Hugging Face, Golang, or Node.js
- Exposure to FinOps and cloud cost optimization
- Data science background or experience with structured/unstructured data
- Awareness of data privacy and compliance best practices (PII handling, secure model deployment)

Benefits

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance provided
401(k) with a company match and optional profit sharing
Paid vacation time
Paid Bench time
Training allowance offering
Referral bonuses

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Today

Data Engineer- Senior Software Engineer – Data, Analytics and AI

Marriott International, Inc Bethesda, MD 🇺🇸 Remote

Bethesda, MD

Today

$100k - $199k/yr Full time Apache Airflow APIs Artificial Intelligence

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Job Description

Marriott International is expanding its data and analytics tech group to design and build a next-generation cloud platform for data, analytics, AI, and machine learning. The Senior Data Engineer / Lead Software Engineer will serve as a technical authority on the Data Platform team, establishing standards and constructing reusable frameworks that enable scalable data capabilities. This role is based in Bethesda, MD with remote work options and a salary range of USD 100,400 to 198,900 per year.

Responsibilities

Lead the development of the next generation cloud data platform, enabling data, analytics, AI and machine learning capabilities.
Engage in research, analysis, and end-to-end design and development across a spectrum of new data capabilities and products.
Establish technical standards and craft reusable frameworks to enable consistent, scalable data capabilities and products.
Take technical ownership of Service Provider deliverables, guiding their technical resources to deliver high-quality work that adheres to standards and scales.
Explore emerging AI technologies to unlock future capabilities and resolve complex technical challenges.
Make decisions on complex, non-routine requests to support analytics-driven decisioning for Marriott business teams.

Requirements

More than eight years of hands-on experience building large-scale data ETL pipelines and applications at enterprise scale.
At least two years in technical delivery ownership for large-scale data pipelines and applications on AWS cloud technologies and the Snowflake data platform.
Proven technical leadership with the ability to guide Service Provider technical resources.
Strong communication skills.
Bachelor of Science degree in Computer Science or related Engineering field.

Technologies

Snowflake
AWS
Airflow
Python
APIs

Benefits

401(k) plan
Stock purchase plan
Discounts at Marriott properties
Commuter benefits
Employee assistance plan
Childcare discounts
Medical, dental, and vision insurance
Health care flexible spending account
Dependent care flexible spending account
Life insurance
Disability insurance
Accident insurance
Adoption expense reimbursements
Paid parental leave
Educational assistance

Candidate Profile

8+ years of hands-on experience developing large-scale data ETL pipelines and applications at enterprise scale.
2+ years of experience in technical delivery ownership for large-scale data pipelines and applications on AWS cloud technologies and the Snowflake data platform.
Strong technical leader with proven ability to guide Service Provider technical resources.
Strong communication skills.
Bachelor of Science degree in Computer Science or related Engineering; graduate degree preferred.
Technology certifications in Snowflake or AWS.
Experience with Airflow, Python, and API calls.
Experience with data governance, privacy, and data quality techniques.
Experience in agile software methodologies.

Core Work Activities

Technical Leadership: Train and mentor team members and peers as appropriate; coordinate across multiple teams to drive projects from inception to delivery; identify opportunities to improve service delivery processes.
Delivering Technology: Conduct complex quantitative and qualitative analyses for service delivery processes and projects; support fulfillment of service providers' deliverables; ensure requirements are complete before engaging service providers.
IT Governance: Adhere to IT standards and processes and contribute improvements; balance business and operational risk; escalate risks appropriately; follow project management standards and processes.
Service Provider Management: Verify that service providers manage their project plan components, including schedules, deliverables, and metrics; plan short term resource utilization; monitor provider outcomes; review work effort estimates for accuracy; facilitate timely resolution of delivery issues to minimize client impact.

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1d ago

Machine Learning Engineer, Sponsored Products Off-Search Sourcing and Relevance

Amazon.com Services LLC New York, NY

New York, NY

1d ago

$158k - $214k/yr Full time Ad Tech Ai Ml Amazon Ads

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Job Description

Amazon's Sponsored Products Off-Search Sourcing and Relevance group is advancing machine learning-driven ad experiences that reach customers beyond traditional search surfaces. In this role, you will shape the models and infrastructure that deliver relevant, personalized ads at scale, partnering with product managers and researchers and running rapid experiments to quantify impact.

Location: New York, NY (onsite)

Salary: USD 158,100 - 213,800 per year

Minimum experience: 3+ years

Responsibilities

Design, build, and maintain ML infrastructure and data processing pipelines that power ad relevance and sourcing at massive scale
Develop and refine ML models that leverage deep product and shopper signals to surface relevant ads across non-Search surfaces
Architect and implement ad serving systems that handle real-world use cases with high throughput, low latency, and strong availability
Integrate ML solutions with large-scale distributed systems for click-through rate prediction and ad auctions
Measure impact through rapid A/B experiments, iterating to improve relevance and performance
Collaborate with Product Managers and Scientists to translate complex business problems into scalable ML-driven solutions

Requirements

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

Benefits

Comprehensive health coverage including medical, dental, vision, and prescription drugs, Basic Life & AD&D with option for supplemental life plans, EAP, mental health support, Medical Advice Line, Flexible Spending Accounts, and Adoption/Surrogacy reimbursement
401(k) matching
Paid time off
Parental leave

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 reinventing 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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1d ago

Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)

Capital One New York, NY

New York, NY

1d ago

$211k - $241k/yr Full time Agentic Ai AI Ai Ml

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Job Description

Capital One is seeking a Lead AI Engineer to advance AI Foundations, LLM Core and Agentic AI within the Intelligent Foundations and Experiences (IFX) team in New York, NY. This onsite role offers a salary range of USD 211,000 to 240,800 per year and focuses on delivering AI powered products alongside scalable AI infrastructure.

Responsibilities

Collaborate with a cross functional team of engineers, research scientists, technical program managers, and product managers to deliver AI driven products that alter how associates work and how customers engage with Capital One.
Design, build, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, among other areas.
Utilize a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and related tools.
Invent and introduce state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput for large scale production AI systems.
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field with at least 4 years of experience developing AI and ML algorithms or technologies; or a Master’s degree in the same fields with at least 2 years of experience.
At least 4 years of experience programming with Python, Go, Scala, or Java.

Technologies

Python
Go
Scala
Java
AWS Ultraclusters
Huggingface
VectorDBs
Nemo Guardrails
PyTorch

Benefits

Health benefits
Performance-based incentive compensation (cash bonuses and/or long term incentives)

Team

The Intelligent Foundations and Experiences (IFX) team sits at the core of Capital One's AI strategy. The group partners across the company to advance AI science and engineering, building and deploying proprietary solutions central to the business and delivering value to millions of customers. The AI models and platforms developed by IFX empower teams across Capital One to enhance products with AI capabilities.

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1d ago

AI Engineer - Automation/Robotics 1 [211210]

Aquent Talent Redmond, WA

Redmond, WA

1d ago

$60 - $65/hr Full time Ai Training Artificial Intelligence Automation

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Job Description

Based in Redmond, WA and onsite, this AI Engineer role from Aquent Talent focuses on automation and robotics to shape embodied AI and foundational robotics models. You will develop and deploy AI and robotics solutions, contribute to open-source robotic capabilities, and work to integrate control and perception stacks across simulation and real hardware environments. Compensation is USD 60 - 65 per hourly.

Responsibilities

Fine-tune and optimize a range of sophisticated software implementation projects.
Architect and implement robust test automation infrastructure.
Develop advanced training and evaluation pipelines for machine learning models.
Analyze and refine training datasets for robotic and AI applications.
Create tools for rapid deployment of novel algorithms in both simulation and physical hardware.
Integrate robotic control and perception stacks within various simulation frameworks.

Requirements

Bachelor's degree in computer science, computer engineering, or a related technical field.
2-4 years of professional experience in AI/ML engineering or a related discipline.
Strong foundation in computer science with solid competencies in data structures, algorithms, and software design.
Practical experience with simulation environments or hands-on work with robotic hardware.
Proven ability to troubleshoot and perform unit testing on both new and existing production systems.
Proficiency in programming alongside skilled problem diagnosis and resolution.
Background in leading machine learning frameworks such as TensorFlow or PyTorch.

Technologies

TensorFlow
PyTorch

Benefits

Subsidized health plans
Vision plans
Dental plans
Paid sick leave
Retirement plans with a match
Free online training through Aquent Gymnasium

What Sets You Apart

Academic or undergraduate research experience in robotics labs, especially collaborative work with professors on robotics-focused projects.
A robotics machine learning background that distinguishes you from candidates focused primarily on financial or healthcare AI with tabular data processing.