Machine Learning Engineer

Machine Learning Engineer Data Jobs

233 jobs found

9d ago

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

Capital One McLean, VA

McLean, VA

9d ago

$230k - $262k/yr Full time Senior Agentic Ai AI

Apply Now

Job Description

Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) at Capital One, McLean, VA (onsite), focused on building responsible, scalable AI systems and leading foundational AI initiatives. Salary range: USD 229,900 - 262,400 per year.

Responsibilities

Collaborate with a cross functional team of engineers, research scientists, technical program managers, and product managers to deliver AI powered products that transform how associates work and how customers interact with Capital One.
Design, develop, test, deploy, and support AI software components including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, PyTorch, and more.
Invent and apply state of the art LLM optimization techniques to boost performance metrics including scalability, cost, latency, and throughput in 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 fields with at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in the same fields with at least 4 years of related experience.
At least 6 years of experience programming with Python, Go, Scala, or Java.

Technologies

AWS Ultraclusters
Hugging Face
VectorDBs
Nemo Guardrails
PyTorch
Python
Go
Scala
Java

Benefits

Health benefits
Performance based incentive compensation
Long term incentives (LTI)

Overview

Capital One is committed to building responsible and reliable AI systems that help change banking for good. The company has a history of leading in machine learning to deliver real time, personalized customer experiences. Investments in technology infrastructure and world class talent position Capital One at the forefront of enterprise AI, with initiatives spanning customer interactions and advisory capabilities.

Team Description

The Intelligent Foundations and Experiences (IFX) team sits at the heart of Capital One's AI efforts. We partner across the company to advance scientific and engineering work, building and deploying proprietary solutions that matter to the business and to millions of customers. Our models and platforms empower teams to enhance products with AI.

The ideal candidate

You enjoy building systems, take pride in code quality, and are committed to doing the right thing to improve banking for good.
You stay current with the latest research and can translate publications into production ready solutions.
You adapt quickly, bring clarity to undefined problems, ask questions, dive deep, and communicate findings clearly. You share new ideas even when unproven.
You are deeply technical with a strong foundation in engineering and mathematics, and you can identify optimization opportunities across hardware, software, and AI.
You are a resilient explorer who can forge new paths to achieve business goals when the route is not obvious.

Basic qualifications

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

Preferred qualifications

7+ years 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 (LLM Inference, Similarity Search and VectorDBs, Guardrails, 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 the ability to judiciously apply novel techniques in production.
Excellent communication and presentation skills, capable of articulating complex AI concepts to peers.

View full job page →

9d ago

AWS AI Engineer

Hudson Manpower Temple, TX 🇺🇸 Remote

Temple, TX

9d ago

Full time AI Artificial Intelligence AWS

Apply Now

Job Description

Hudson Manpower offers a competitive base salary, comprehensive medical, dental, and vision coverage, optional life and disability insurance, a 401(k) with company matching and potential profit sharing, paid vacation, a dedicated bench period, a training allowance, and referral bonuses. This role is based in Temple, TX with remote work options and focuses on building production-grade retrieval-augmented generation systems and cloud-native AI services on AWS.

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

Responsibilities

Execute hands-on development with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3 to build and deploy AI capabilities.
Lead the implementation of AWS cloud services spanning infrastructure, machine learning, and AI platform services.
Work with LLM based applications and Retrieval-Augmented Generation using LangChain and related frameworks.
Design 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 with Terraform.
Support the development and evolution of reusable platform components for AI and ML operations.
Create and maintain technical documentation for the team and internal customers.
Communicate effectively in English, both verbally and in writing.

Requirements

7 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.
Experience with AWS organizations and policy guardrails (SCP, AWS Config).
Solid background in implementing Retrieval-Augmented Generation and using LangChain.
Experience with Infrastructure as Code best practices and building Terraform modules for AWS cloud.
Strong track record with Git-based version control, code reviews, and DevOps workflows.
Proven success delivering production-ready software with release pipeline integration.

Technologies

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

Top Skills

Must Have AWS services including Bedrock, SageMaker, ECS and Lambda; experience with AWS organizations and policy guardrails (SCP, AWS Config); proficiency in implementing RAG architectures using frameworks and ML tooling such as Transformers, PyTorch, TensorFlow, and LangChain; strong IaC practices and 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 certifications or relevant cloud credentials; data privacy and compliance practices (PII handling, secure model deployment); data science background or experience with structured and unstructured data; exposure to FinOps and cloud cost optimization; experience with Hugging Face and Node.js; policy as code development such as Terraform Sentinel.

View full job page →

9d ago

Senior Lead AI Engineer (Gen AI Platform Services)

Capital One McLean, VA

McLean, VA

9d ago

$230k - $262k/yr Full time Senior AI Artificial Intelligence

Apply Now

Job Description

The Senior Lead AI Engineer will design, build, and deploy AI software components while shaping the long term roadmap for foundational AI systems, guiding cross functional teams to deliver AI powered products at Capital One.

Overview

Capital One is advancing responsible and reliable AI systems to transform banking for the better. The company has established itself as a leader in applying machine learning to deliver real time, personalized experiences, supported by strong technology infrastructure and top talent. This role contributes to those efforts by building scalable AI platforms and driving impactful AI initiatives across the business.

Team Description

The Intelligent Foundations and Experiences (IFX) team sits at the core of Capital One's AI strategy. The team collaborates with partners across the organization to push the boundaries of AI engineering, deploying proprietary solutions that power products used by millions of customers. AI models and platforms created by the team enable other teams to enhance offerings through AI capabilities.

The Ideal Candidate

Enjoys building robust systems and takes pride in delivering high quality work, while pursuing responsible and ethical AI outcomes.
Keeps up with the latest research and can translate academic ideas into production ready solutions.
Adapts quickly, brings clarity to complex problems, asks insightful questions, and communicates findings concisely. Willing to propose new ideas, even if unproven.
Strong technical foundation in engineering and mathematics; capable of recognizing optimization opportunities across hardware, software, and AI components.
Resilient and able to chart new paths to meet business objectives when routes are unclear.

Responsibilities

Collaborate with engineers, research scientists, program managers, and product managers to deliver AI powered products that transform how associates work and how customers interact with Capital One.
Design, develop, test, deploy, and support AI software components including 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 such as AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, PyTorch, and related tools.
Develop and apply state of the art LLM optimization techniques to improve scalability, cost efficiency, latency, and throughput in production AI systems.
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.

Technologies

AWS Ultraclusters
Hugging Face
Vector databases
Nemo Guardrails
PyTorch

Location

McLean, VA on site

Salary

Annual salary range: USD 229,900 to 262,400

Basic Qualifications

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
At least 6 years of experience programming with Python, Go, Scala, or Java

Preferred Qualifications

7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure, or equivalent private cloud)
Experience designing, developing, integrating, delivering, and supporting complex AI systems
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders
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 optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
Strong interest in staying current with AI research and applying novel techniques in production
Excellent communication and presentation skills, with the ability to explain complex AI concepts to peers

Benefits

Health, financial and other benefits supporting overall well being
Performance-based incentive compensation eligibility (cash bonuses and or long term incentives)

View full job page →

9d ago

AI Engineer - GenAI / Agentic Systems - Financial Services

Infosys Basking Ridge, NJ

Basking Ridge, NJ

9d ago

$117k - $148k/yr Full time Agentic Ai AI Artificial Intelligence

Apply Now

Job Description

Responsibilities

Collaborate with business stakeholders in banking and financial services to identify problem statements and participate in or lead solution design, including understanding the day-in-the-life of an advisor and identifying critical manual flows.
Serve as Product Manager / Product Owner, working closely with architects and business SMEs to develop business requirements and AI solutions.
Design and develop GenAI solutions using LLMs (Claude, OpenAI, etc.) to improve advisor productivity and drive operational efficiency in areas such as Corporate Actions, Portfolio Management, AML / KYC processes.
Build agent-based workflows using frameworks like LangChain / Google ADK / similar tools.
Develop RAG pipelines, semantic search, and knowledge-driven applications.
Implement prompt engineering, evaluation frameworks, and guardrails to ensure reliable AI solutions.
Perform testing and validation of final solutions to align with business problems and optimize AI models and pipelines.
Coordinate with business and technology stakeholders to ensure program delivery.

Requirements

Experience in the financial services industry (capital markets / banking) and familiarity with front office, middle office, or back office operations or processes.
Understanding of the end-to-end value chain (wealth management, asset management, investment banking, etc.).
Experience defining AI-related KPIs and building an AI adoption business case.
Proficiency in Python-based AI/ML development.
Understanding of LLMs and GenAI architectures.
Prompt engineering and chaining techniques.
Data processing and pipeline development experience.
Understanding of Graph RAG and hands-on experience with LangChain / similar frameworks.
Hands-on experience with Claude / OpenAI / other LLM APIs for Graph RAG scenarios.
Working knowledge of vector databases, embeddings, and semantic search.
Working knowledge of API integrations and microservices.

Technologies

Python
LangChain
Google ADK
Claude
OpenAI
Azure
AWS
GCP
Knowledge graphs
Vector databases
Embeddings
Semantic search
API integrations
Microservices

Benefits

Medical/Dental/Vision/Life Insurance
Long-term/Short-term Disability
Health and Dependent Care Reimbursement Accounts
Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
401(k) plan and contributions dependent on salary level
Paid holidays plus Paid Time Off

View full job page →

9d ago

Applied Machine Learning Engineer, Circuit Design - New College Grad 2026

NVIDIA Santa Clara, CA

Santa Clara, CA

9d ago

$116k - $219k/yr Full time Electrical Engineering Ai Assisted Engineering Artificial Intelligence

Apply Now

Job Description

Applied Machine Learning Engineer, Circuit Design for New College Grad 2026 at NVIDIA in Santa Clara, CA (hybrid) with a salary range of USD 116,000 - 218,500 per year.

Responsibilities

Collaborate in a cross-functional team on programs spanning pre-silicon and post-silicon hardware design data, circuit optimization, SPICE correlation, and AI powered design automation.
Contribute to projects across silicon data analysis, manufacturing process variation analysis, VLSI circuit design and timing, and agent driven design exploration with optimized agent flows.
Translate stakeholder requirements into data science, AI/ML, and agent-based system problems; design architectures and implement end-to-end solutions.
Develop, validate, and release models and AI systems that integrate with existing machine learning, design automation, and visualization tools.
Analyze datasets, formulate and validate hypotheses, extract meaningful features, and build models plus self-improving workflows atop them.
Refine models, algorithms, and autonomous optimization loops until the desired QOR is achieved.

Requirements

Master’s degree or PhD in Electrical or Computer Engineering, Computer Science, or Applied Mathematics, or equivalent practical experience.
Strong background in circuit design, VLSI, ASIC, EDA, silicon analysis, or custom circuit design.
Demonstrated experience at the intersection of applied math, machine learning, and software development, with proficiency in Python and C++.

Technologies

Python
C++
PyTorch
LangChain
LangGraph
SPICE

Benefits

Equity
Benefits

Ways to Stand Out

Experience building AI systems for EDA, design automation, or circuit design workflows.
Research or project work in AI-driven EDA, circuit optimization, design-space exploration, or autonomous design systems.
Background creating agent-based systems, autonomous optimization loops, self-improving AI platforms, or production-scale AI/ML pipelines.
Proficiency with deep learning algorithms and AI agent frameworks; hands-on use of PyTorch, LangChain, or LangGraph is highly beneficial.

View full job page →

10d ago

Lead Research Data Scientist

Publicis Groupe Holdings B.V Boston, MA

Boston, MA

10d ago

Full time Analytics Artificial Intelligence Big Data

Apply Now

Job Description

The Lead Research Data Scientist position is based onsite in Boston, MA, and sits within Epsilon's Decision Sciences IQ team. The role focuses on building automated segmentation, predictive modeling, and GenAI solutions for the PeopleCloud marketing SaaS, with responsibility for productionizing ML solutions and collaborating with engineering to embed them into the platform.

Responsibilities

Lead projects from initial research through development in collaboration with stakeholders
Develop familiarity with DSIQ's modeling platform and Epsilon's proprietary datasets
Apply data science and machine learning expertise to investigate and propose optimal approaches for technology and business challenges
Design, implement, and validate scalable analytic pipelines using tools such as Databricks, Spark, Python, MLlib, Keras, TensorFlow, Git, Jira, and Confluence
Collaborate with Engineering teams to integrate solutions into Epsilon's PeopleCloud SaaS offerings
Engage in the team's collaborative culture by sharing knowledge, debating techniques, and pursuing research to advance collective capabilities

Requirements

Ph.D. in Computer Science, Statistics, Linguistics, Electrical Engineering, Mathematics, Economics, Physics, Operations Research, or a related scientific field
Demonstrated research experience and coursework in Machine Learning
At least 1 year of experience managing research and development projects
At least 2 years of relevant programming experience gained through academic research, internships, or industry work
Strong Python programming skills with experience in research or production code
Experience working with large datasets
Solid understanding of modeling and statistical techniques
Desire to contribute in a highly collaborative environment
Excellent communication and interpersonal abilities for conveying ideas and complex solutions

Technologies

Databricks
Spark
Python
MLlib
Keras
TensorFlow
Git
Jira
Confluence
Hadoop
AWS
LLMs
Agentic frameworks

Additional Skills

Experience with distributed and cloud computing platforms such as Hadoop, Spark, AWS, Databricks, or related technologies
Experience with SQL and Python
Familiarity with using LLMs and agentic frameworks
Experience in Natural Language Processing, Information Retrieval, Mathematical Optimization, Control Theory, Time-Series Analysis, or Causal Inference

View full job page →

10d ago

Senior Lead AI Engineer (FM Hosting)

Capital One New York, NY

New York, NY

10d ago

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

Apply Now

Job Description

Capital One's Intelligent Foundations and Experiences (IFX) team is seeking a Senior Lead AI Engineer (FM Hosting) to architect and operationalize AI software components that power scalable, real-time customer experiences. Based in New York, NY (onsite), the role offers a salary range of USD 250,800 to 286,200 per year and involves collaboration across engineering, research, and product management to shape AI systems that transform how associates work and how customers interact with Capital One.

Responsibilities

Collaborate with a cross-disciplinary team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that transform how Capital One associates work and how customers interact with the bank.
Design, build, test, deploy, and sustain AI software components, including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
Utilize a wide range of open-source and SaaS AI technologies such as AWS Ultraclusters, HuggingFace, VectorDBs, Nemo Guardrails, PyTorch, and more.
Develop and apply cutting-edge LLM optimization techniques to boost production AI systems' performance, focusing on scalability, cost, latency, and throughput.
Contribute to Capital One's foundational AI systems' technical vision and long-term roadmap.

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields with at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in the same fields with at least 4 years of experience developing AI and ML algorithms or technologies.
At least 6 years of experience programming with Python, Go, Scala, or Java.

Technologies

AWS Ultraclusters
HuggingFace
VectorDBs
Nemo Guardrails
PyTorch
Python
C++
C#
Java
Go

Benefits

Health benefits
Financial benefits
Other benefits that support your total well-being
Performance-based incentive compensation (cash bonuses and/or long term incentives)

Overview

Capital One is focused on building responsible and reliable AI systems that drive better banking outcomes. The company has long been a leader in applying machine learning to deliver real-time, personalized customer experiences, supported by strong technology infrastructure and top talent. This foundation positions Capital One at the forefront of enterprises leveraging AI to create value for customers.

Team Description

The Intelligent Foundations and Experiences (IFX) team sits at the core of Capital One's AI strategy. We collaborate with partners across the organization to advance AI research and engineering, building and deploying proprietary solutions central to the business and delivering value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance products with AI's transformative potential.

The Ideal Candidate

You enjoy building robust systems, take pride in code quality, and share a commitment to doing the right thing. You are motivated by solving problems that can change banking for good.
You stay current with the latest AI research and can translate publications into production-ready approaches.
You adapt quickly and bring clarity to large, undefined problems, asking questions and digging deep to uncover root causes, and you can present findings concisely. You have the courage to propose new ideas, even if unproven.
You are deeply technical with a solid foundation in engineering and mathematics, and you understand hardware, software, and AI to identify optimization opportunities others might miss.
You are a resilient trailblazer who can chart new paths to meet business goals when the route is uncertain.

Preferred Qualifications

7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure, or equivalent private cloud).
Experience designing, developing, integrating, delivering, and supporting complex AI systems.
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders.
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 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, applying novel techniques in production as appropriate.
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.