Machine Learning Engineer

Machine Learning Engineer Data Jobs

107 jobs found

1d ago

Machine Learning Engineer, Commerce Ads Ranking

TikTok San Jose, CA

San Jose, CA

1d ago

$156k - $317k/yr Full time Ad Tech Ai Ml Distributed Training

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Job Description

Based in San Jose, CA (onsite), this TikTok role seeks a Machine Learning Engineer to optimize Commerce Ads Ranking models from recall through fine sorting and to advance large-scale distributed training in privacy-preserving environments, with a salary range of USD 156,000 – 316,800 per year.

Responsibilities

Improve ads delivery model performance through feature engineering, architecture choices, automated feature crossing, addressing ad cold start, modeling delayed feedback, and applying multi-task and sequence modeling techniques.
Contribute to algorithm and system co-design, including retrieval algorithms, sample mining strategies, and long sequence handling.
Investigate and optimize large-scale distributed training frameworks, focusing on GPU tuning, feature processing, and synchronous training to boost ads delivery efficiency under privacy-preserving constraints.
Advance next generation recommendation approaches using an LLM-based learning paradigm, covering entity understanding, end-to-end generative recommendation, sequence-only recommendation, and a Mixture of Export framework.

Requirements

Strong coding skills in C++ and Python, with a solid foundation in data structures and algorithms.
Robust background in machine learning and familiarity with models such as FM, LR, GBDT, DNN, and Wide & Deep.
Excellent learning ability and collaborative mindset, with strong analytical and problem-solving skills. Publications in KDD, NeurIPS, SIGIR, or experience in data mining or ML competitions are a plus.
Bachelor's degree or higher in computer science or related fields.

Technologies

C++, Python, LLM

Benefits

Medical, dental, and vision insurance from day one
401(k) savings plan with company match
Paid parental leave
Short-term and long-term disability coverage
Life insurance
Wellbeing benefits
10 paid holidays per year
10 paid sick days per year
17 days of Paid Personal Time, prorated at hire with tenure-based accruals
Eligible for discretionary bonuses or incentives
Restricted stock units

Los Angeles County (Unincorporated) Candidates

Occasional unsupervised interaction with internal or external clients and colleagues
Appropriate handling and management of confidential information and access to IT systems
Exercise sound judgment

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2d ago

Machine Learning Engineer, Ads Creative

TikTok San Jose, CA

San Jose, CA

2d ago

$156k - $317k/yr Full time Ad Tech Ai Ml Deep Learning

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Job Description

TikTok is hiring a Machine Learning Engineer, Ads Creative to build large scale ads systems and advanced ML components for monetization, targeting, and creative optimization.

Responsibilities

Contribute to the development of a large scale ads platform.
Lead the development of state of the art applied machine learning projects within ads.
Own critical targeting components and strategies in the ads monetization ecosystem.
Collaborate with product and business teams to shape product vision and roadmap.

Requirements

BS or MS degree in Computer Science, Computer Engineering, or related fields.
Strong theoretical grounding in machine learning with practical experience in ML concepts and techniques.
Excellent programming, debugging, and optimization skills in Go, C/C++, Python or similar languages.
Experience with ML frameworks such as TensorFlow, PyTorch, MXNet, or equivalent.
Ability to think critically and articulate solutions clearly and concisely.

Technologies

Go
C
C++
Python
TensorFlow
PyTorch
MXNet

Compensation

Base salary range: $156,000 - $316,800 annually.
Pay transparency description: The base salary range for this position in the selected city is $156000 - $316800 annually.

Location

San Jose, CA (onsite)

Employment Type

Regular

Job Code

A56375

Benefits

Medical, dental, and vision insurance
401(k) savings plan with company match
Paid parental leave
Short-term and long-term disability coverage
Life insurance
Wellbeing benefits
10 paid holidays per year
10 paid sick days per year
17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)
Potential discretionary bonuses/incentives
Restricted stock units

Los Angeles County Candidates

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; 2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and 3. Exercising sound

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6d ago

Machine Learning Engineer

Rolls-Royce Indianapolis, IN

Indianapolis, IN

6d ago

$99k - $160k/yr Full time Ai Ml Analytics Artificial Intelligence

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Job Description

Rolls-Royce seeks a Machine Learning Engineer in Indianapolis, hybrid, focused on building and deploying AI and ML tools to deliver insights on Rolls-Royce products.

Responsibilities

Collaborate with IT and Rolls-Royce Fleet engineering teams to identify opportunities for applying digital technologies that maximize impact and value.
Understand, clean, and analyze large datasets from engine sensors, test rigs, and fleet operations.
Build, train, and validate machine learning models for tasks such as engineering knowledge search, anomaly research, production support, and predictive maintenance.
Document work clearly and present findings to both technical and non-technical audiences.

Requirements

Bachelor’s degree in Engineering, Chemistry, Computer Science, Information Technology, Mathematics, Data Science, or Physics with 2+ years of machine learning experience; OR
Master’s degree in Engineering, Chemistry, Computer Science, Information Technology, Mathematics, Data Science, or Physics; OR
PhD in Engineering, Chemistry, Computer Science, Information Technology, Mathematics, Data Science, or Physics.
U.S. Citizenship is required to be eligible for consideration.

Benefits

Discretionary bonus plan
Employee support assistance
Employee discounts
Relocation assistance
Health, dental, and vision insurance
Disability, life, and accidental death and dismemberment insurance
Flexible spending account and health savings account
401(k) retirement plan with company match
Employee Assistance Program
Paid time off and certain paid holidays
Paid parental and family care leave
Tuition reimbursement
Long-term incentive plan

Job details

Location: Indianapolis, IN (hybrid)
Salary: USD 98,566 - 160,169 per year
Employment type: Full-time
Minimum experience: 2 years
Education required: PhD

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6d ago

Junior Machine Learning Engineer

Rolls-Royce Indianapolis, IN

Indianapolis, IN

6d ago

$66k - $108k/yr Full time Ai Ml Analytics Artificial Intelligence

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Job Description

Rolls-Royce in Indianapolis is seeking a Junior Machine Learning Engineer to help transform data from engines, test rigs, and fleet operations into actionable insights. You will join a multidisciplinary team to address AI and ML tasks, software development, and data science challenges that support product performance and maintenance, with a hybrid work arrangement in Indianapolis.

Responsibilities

Collaborate with IT and engineering teams to identify digital-technology opportunities that deliver meaningful impact and value.
Ingest, clean, and analyze large datasets drawn from engine sensors, test rigs, and fleet operations.
Develop, train, and evaluate machine learning models for tasks such as engineering knowledge retrieval, anomaly investigation, production support, and predictive maintenance.
Document methods and findings clearly and present results to both technical and non-technical audiences.

Requirements

Bachelor’s degree in Engineering, Chemistry, Computer Science, Information Technology, Mathematics, or Physics; or a Master’s degree in one of these fields; or a PhD in one of these fields.
U.S. citizenship is required to be eligible for consideration.

Benefits

Discretionary bonus plan
Health, dental, and vision insurance
Disability, life, and accidental death & dismemberment insurance
Flexible spending account and health savings account
401(k) retirement savings plan with company match
Employee Assistance Program
Paid time off and certain paid holidays
Paid parental and family care leave
Tuition reimbursement
Long-term incentive plan

Details

Location: Indianapolis, IN (hybrid)
Salary: USD 66,306 - 107,747 per year
Job category: Mechanical Systems
Posting date: 02 Jul 2026
Closing date: July 5, 2026

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7d ago

Lead Machine Learning Engineer-MLOps

JPMorganChase Palo Alto, CA

Palo Alto, CA

7d ago

$164k - $260k/yr Full time Manager Ai Ml Artificial Intelligence

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Job Description

Join JPMorgan Chase as a Lead Machine Learning Engineer MLOps on the Recommendation Engine team, working onsite in Palo Alto, CA. You will build and deploy ML models using a modern MLOps stack, spanning distributed training on GPU clusters, real-time and batch inference, and scalable hyperparameter tuning with production-grade validation. The role offers a competitive base salary in the range of USD 164,350 to 260,000 per year.

Responsibilities

Design, deploy, and maintain robust pipelines for distributed training on GPU-enabled clusters to enable scalable ML workflows.
Develop pipelines for high throughput real time as well as batch inference, prioritizing performance and reliability.
Implement quantization techniques and deploy large language models to improve efficiency across specific GPU architectures.
Oversee the management and optimization of vector databases to support advanced AI and ML applications.
Establish and maintain comprehensive monitoring and observability pipelines to ensure system health, performance, and rapid issue resolution.
Collaborate with product, architecture, and other engineering teams to integrate new technologies and continuously improve existing infrastructure.
Partner with cross functional teams to define scalable and performant technical solutions.

Requirements

BS in Computer Science or related Engineering field with 6+ years of experience.
MS in Computer Science or related Engineering field with 4+ years of experience.
Strong proficiency in Python and cloud computing, preferably AWS.
Understanding of quantization techniques such as PTQ and AWQ used to accelerate LLM inference on specific GPU architectures.
Experience in systems engineering fundamentals including caching, CUDA, autoscaling, high throughput, low latency, and cross-region resilience.
Solid knowledge and passion for data science fundamentals, including training and deploying models.
Experience with monitoring and observability tools to track model inputs/outputs and feature statistics.
Operational experience with big data and ML tools such as Ray, DuckDB, Spark, and with training/inference systems like Ray and vllm/SGLang.
Strong engineering fundamentals and an analytical mindset.

Technologies

Python
AWS
CUDA
PTQ
AWQ
Ray
DuckDB
Spark
vllm
SGLang
Docker
Kubernetes
ECS
Airflow
Kubeflow
Vector databases

Benefits

Base salary determined by role, experience, skills, and location.
Commission-based pay and discretionary incentive compensation, paid in cash and/or equity, recognizing individual contributions.
Comprehensive health care coverage.
On site health and wellness centers.
Retirement savings plan.
Backup childcare.
Tuition reimbursement.
Mental health support.
Financial coaching.

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8d ago

Lead Machine Learning Engineer (Manager IC)

Capital One Richmond, VA

Richmond, VA

8d ago

Full time Manager Agentic Ai Ai Ml

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Job Description

Benefits

Capital One offers a competitive rewards package and a focus on total well-being, including incentives and benefits that support your career and life goals.

Performance-based incentive compensation (cash bonuses and long-term incentives).
Health, financial, and other benefits that support total well-being.

Location: Richmond, VA, onsite.

Responsibilities

Collaborate with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI powered products that change how our associates work and provide value to our customers.
Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI.
Fine-tune, develop and evaluate machine learning and foundation models.
Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities.
Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One.
Leverage a broad stack of Open Source and SaaS AI technologies.
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues.
Retrain, maintain, and monitor models in production.
Construct optimized data pipelines to feed ML models.
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.

Requirements

Bachelor’s Degree
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
At least 4 years of experience programming with Python, Scala, or Java
At least 2 years of experience building, scaling, and optimizing ML systems

Technologies

Python, Scala, Java
scikit-learn
PyTorch
Dask
Spark
TensorFlow
AWS Bedrock
Google Cloud
Azure
Retrieval Augmented Generation (RAG)

The ideal candidate

You love to build systems, take pride in the quality of your work, and are motivated to make banking better.
You are a skilled communicator, comfortable explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences.
You stay current with AI research and can interpret scientific publications to judiciously apply novel techniques in production.
You adapt quickly, bring clarity to big, undefined problems, ask questions, dig deep, and articulate findings concisely with the courage to share new ideas, even if unproven.
You are deeply technical, with a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to spot optimization opportunities others miss.
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.
You maintain a passion for AI research and AI systems, and apply novel techniques in production with care.

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8d ago

Lead Machine Learning Engineer (Manager IC)

Capital One Richmond, VA

Richmond, VA

8d ago

$179k - $205k/yr Full time Manager Ai Ml Artificial Intelligence

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Job Description

Capital One Risk Tech is seeking a Lead Machine Learning Engineer (Manager IC) to architect, deploy, and sustain AI and ML capabilities that underpin risk management and AI-powered products. This onsite role in Richmond, Virginia offers a salary range of USD 179,400 to 204,700 per year and requires a bachelor’s degree along with extensive experience building data-intensive solutions and ML systems.

Responsibilities

Collaborate with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-driven products that improve how associates work and create value for customers.
Design, develop, test, deploy, and support AI software components that use machine learning models, including model evaluation, experimentation, large language model inference, similarity search, guardrails, governance, observability, and agentic AI.
Fine-tune, develop, and evaluate machine learning and foundation models.
Work within an Agile, cross-functional team to build and enhance software leveraging state-of-the-art AI and ML capabilities.
Contribute thought leadership and technical vision to the long-term roadmap for pioneering AI systems at Capital One.
Utilize a broad mix of Open Source and SaaS AI technologies.
Make informed ML infrastructure decisions grounded in modeling techniques and related considerations.
Retrain, maintain, and monitor models in production environments.
Build optimized data pipelines to feed machine learning models.
Ensure code quality and governance, manage risk by following responsible and explainable AI practices.

Requirements

Bachelor’s Degree
At least 6 years of experience designing and building data-intensive solutions using distributed computing (internships do not count)
At least 4 years of experience programming with Python, Scala, or Java
At least 2 years of experience building, scaling, and optimizing ML systems

Technologies

Python, Scala, Java
scikit-learn, PyTorch, Dask, Spark, TensorFlow
AWS Bedrock, Google Cloud, Azure

Benefits

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

The Ideal Candidate

Has a passion for building systems, takes pride in code quality, and aims to contribute to meaningful banking innovations.
Is a strong communicator, able to explain complex technical concepts to non-technical partners across the business, including presenting to large audiences when needed.
Keeps up with the latest research, and can interpret scientific publications to judiciously apply novel techniques in production.
Adapts quickly, brings clarity to undefined problems, asks questions, digs deep to uncover root causes, and communicates findings succinctly. Willing to share new ideas even if unproven.
Is deeply technical with a solid foundation in engineering and mathematics, and can leverage hardware, software, and AI know-how to spot optimization opportunities.
Demonstrates resilience and the ability to forge new paths to achieve business goals when routes are unclear.
Maintains a strong enthusiasm for staying current with AI research and systems, applying innovative techniques thoughtfully in production.