Ai Ml

Ai Ml Developer Jobs

271 jobs found

Today

Lead AI / Machine Learning Engineer

Sherwin-Williams Cleveland, OH 🇺🇸 Remote

Cleveland, OH

Today

$128k - $166k/yr Full time Ai Ml Artificial Intelligence DevOps

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Job Description

Sherwin-Williams offers a remote role in Cleveland, OH for a Lead AI / Machine Learning Engineer who will help operationalize machine learning and data solutions used across cloud and internet-related tools. This position combines hands-on model delivery with MLOps leadership, with opportunities to strengthen scalable engineering practices and collaborate with a wide set of teams. Along with competitive pay (USD 127,939 - 165,732 per year), you’ll be part of a culture focused on growth, community, and comprehensive benefits.

What you’ll do

Oversee the design, development, testing, and deployment of machine learning models and other data solutions aligned to business requirements and defined technical specifications.
Lead model training, validation, and performance optimization, including implementing techniques for improvement and fine-tuning to reach high accuracy.
Provide strategic direction on writing high-quality, maintainable, scalable code.
Create and maintain technical documentation covering model development processes, deployment workflows, operational procedures, code comments, design documents, and user manuals.
Drive MLOps practices by guiding CI/CD pipeline development for seamless model deployment, supporting automated testing across development, integration, deployment, and management, and helping ensure quality and security in line with industry standards and company policies.
Partner across functions including data scientists, business analysts, software engineers, IT operations, quality assurance testers, and project managers to translate requirements into technical solutions integrated into production.
Provide ongoing support for solutions, including incident and problem management, root cause analysis, request fulfillment, security compliance, fault repair, resiliency testing, and observability.
Stay current with advancements in machine learning and MLOps, and explore innovative approaches to enhance the organization’s machine learning capabilities.

What you bring

Bachelor’s Degree in Computer Science or Computer Engineering. In lieu of a degree, at least 9 years of experience in software development.
6+ years of experience across AI, ML, MLOps, and/or software development.
Deep knowledge of SDLC methodologies and practices, especially MLOps and DevOps.
Strong expertise with software development tools, platforms, and languages, particularly cloud platforms.
Proven experience building, integrating, testing, and deploying software solutions for cloud-based or internet-related tools.
Expert-level knowledge of relational databases and SQL.
Strong written and verbal communication skills.
Proven experience developing microservices and in-depth knowledge of integration patterns.
Must be legally authorized to work in the United States without company sponsorship.
Must be at least 18 years of age.

Technology focus

CI/CD, MLOps, DevOps, SQL, Microservices, cloud platforms

Benefits

Life with rewards, benefits, and flexibility to enhance your health and well-being.
Career with opportunities to learn, develop new skills, and grow your contribution.
Connection with an inclusive team and commitment to both the company’s and broader communities.
World-class benefits spanning from retirement to health care, total well-being, and your daily commute.
A general description of benefits is available at http://www.myswbenefits.com/.

Preferred qualifications

Certified Software Development Professional (CSDP) or equivalent certification.
Experience in GenAI.
Ability to productionize applications externally-facing.

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Today

Principal Machine Learning Engineer

Amgen Remote 🇺🇸 Remote

Remote

Today

$187k - $254k/yr Full time Ai Ml Artificial Intelligence Cloud Machine Learning

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Job Description

Amgen is seeking a Principal Machine Learning Engineer for a remote role in the U.S. This is a senior individual-contributor position centered on building and scaling enterprise AI/ML and generative-AI capabilities. The role focuses on owning AI/ML architecture, deploying and monitoring models (including LLMs), and partnering across engineering, security, compliance, DevOps, and product to deliver production-ready solutions that are secure and cost-effective.

Key Responsibilities

Own enterprise AI/ML architecture, including standards, APIs, and guardrails across cloud and on-prem environments.
Build production ML and GenAI solutions, including lightweight applications designed to deliver sub-second insights.
Develop end-to-end ML pipelines covering data ingestion, feature engineering, training, hyper-parameter optimization, evaluation, registration, and automated promotion using Kubeflow, SageMaker Pipelines, Open AI SDK, or equivalent MLOps stacks.
Build and maintain full-stack AI applications by integrating model services with lightweight UI components, workflow engines, or business-logic layers to ensure insights reach users with sub-second latency.
Establish observability and SLOs, implement safe deployment strategies (blue-green/canary, shadow, rollbacks), and maintain incident runbooks.
Lead rigorous model evaluation (offline/online, A/B), drive drift detection, and automate retraining.
Architect LLM/RAG solutions with prompt management, safety guardrails, and optimized inference.
Enforce data quality, lineage, and model/data cards, applying privacy-preserving techniques when needed.
Contribute reusable ML/GenAI components such as feature stores, model registries, and experiment-tracking libraries, and share best practices to improve engineering velocity.
Perform exploratory data analysis and feature ideation on complex, high-dimensional datasets to support algorithm selection and ensure robustness.
Prototype and benchmark new algorithms, advising on scalability trade-offs and production readiness while co-owning model-performance KPIs.
Translate domain needs (R&D, Manufacturing, Commercial) into roadmaps, mentor teams, and communicate technical trade-offs.

Requirements

Education and experience combination: Doctorate degree + 2 years of Machine Learning Engineer experience OR Master’s degree + 6 years OR Bachelor’s degree + 8 years OR Associate’s degree + 10 years OR High school diploma/GED + 12 years.
At least 2 years of experience directly managing people and/or leadership experience leading teams, projects, programs, or directing allocation of resources.
3-5 years in AI/ML and enterprise software.
Strong command of machine-learning algorithms (regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures including CNNs, RNNs, transformers) and modern LLM/RAG techniques, with the judgment to select, tune, and operationalize approaches.
Proven ability selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale.
Expertise with GenAI tooling including vector databases, RAG pipelines, prompt-engineering DSLs, and agent frameworks such as LangChain, LangGraph, and Semantic Kernel.
Proficiency in Python and Java, containerization (Docker/Kubernetes), cloud (AWS, Azure, or GCP), and modern DevOps/MLOps such as GitHub Actions and Bedrock/SageMaker Pipelines.
Strong business-case skills, including ability to model TCO vs. NPV and present trade-offs to executives.
Exceptional stakeholder management, with ability to translate complex technical concepts into concise, outcome-oriented narratives.

Technologies

Kubeflow, SageMaker Pipelines, Open AI SDK
Python, Java
Docker, Kubernetes (K8s)
AWS, Azure, GCP
GitHub Actions, Bedrock
Vector databases, LangChain, LangGraph, Semantic Kernel
LLM/RAG, prompt management
Blue-green/canary, shadow, rollbacks

Benefits

Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions
Group medical, dental and vision coverage
Life and disability insurance
Flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models where possible

Preferred Qualifications

Experience in biotechnology or the pharma industry
Published thought-leadership or conference talks on enterprise GenAI adoption
Master’s degree in Computer Science and or Data Science
Familiarity with Agile methodologies and Scaled Agile Framework (SAFe)

Education and Professional Certifications

Master’s degree with 10-12+ years of experience in Computer Science, IT or related field
Bachelor’s degree with 12-14+ years of experience in Computer Science, IT or related field
Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus

Additional Details

Location: Remote (remote)
Salary: USD 187,395 - 253,534 per year
Application deadline: Amgen does not have an application deadline for this position and will continue accepting applications until sufficient candidates are received or a selection is made
Sponsorship: Sponsorship for this role is not guaranteed

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Today

Machine Learning Engineer, Prime Video Ads CX

Amazon.com Services LLC Arlington, VA

Arlington, VA

Today

$144k - $194k/yr Full time Ai Ml Artificial Intelligence Big Data

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Job Description

This role is part of the Prime Video Ads CX team, focused on machine learning that personalizes the ads experience for customers on Prime Video. You will apply ML-based solutions to balance customer satisfaction and engagement with monetization goals using large-scale customer data.

Role Summary

As a Machine Learning Engineer on the Prime Video Ads CX team, you will own personalization of the ads experience. The team works with millions of customers’ signals to understand behavior and business needs, then formulates machine learning solutions designed to improve customer delight. The work requires a strong background in machine learning, experience with big data and neural network models, and the ability to maintain highly available, mission-critical systems.

Responsibilities

Collaborate closely with Scientists to develop machine learning based solutions for the Ads Customer Experience on Prime Video.
Build solutions to process massive data, scale machine learning models, and define and optimize criteria critical to customer experience outcomes.
Drive cross-team initiatives and lead a team of developers on key initiatives.
Mentor engineers on the team.

Requirements

3+ years of non-internship professional software development experience.
2+ years of non-internship design or architecture experience, including design patterns, reliability, and scaling for new and existing systems.
Experience programming with at least one software programming language.
3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
Bachelor’s degree in computer science or equivalent.
Experience with video ad serving and ad delivery.

Preferred Qualifications

3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
Bachelor’s degree in computer science or equivalent.
Experience with video ad serving and ad delivery.

What You Will Work On

You will work on personalizing the ads experience for a customer on Prime Video, using machine learning based solutions to tailor advertising in ways that support both engagement and monetization. The role includes building and maintaining systems that can operate at scale, leveraging large datasets to drive modeling and decision-making.

Basic Qualifications

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

Benefits

Sign-on payments and restricted stock units (RSUs).
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, 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.

Position Details

Location: Arlington, VA (onsite)
Compensation: USD 143,700 - 194,400 per yearly
Minimum Experience: 3 years
Education: Bachelor’s degree in computer science or equivalent

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2d ago

Principal Machine Learning Engineer, Ads Modeling

Unity Technologies SF Mountain View, CA

Mountain View, CA

2d ago

$223k - $325k/yr Full time Manager Ads Modeling Ai Ml

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Job Description

Unity Technologies SF is building personalized advertising experiences through Unity Vector Ads Modeling, and the team is looking for a Principal Machine Learning Engineer to advance ads recommendation algorithms. This onsite role in Mountain View, CA combines research with production impact, from defining modeling roadmaps to validating new approaches using rich user data and large-scale compute.

What you’ll work on

You will help identify modeling opportunities driven by customer needs and translate them into a practical modeling roadmap. The work includes pushing forward foundational research for new models and paradigms, then validating those models efficiently with high-quality user data and substantial compute resources. You will also partner closely with engineering and product teams to take research breakthroughs and productionalize them for real-world use.

Identify opportunities and design a modeling roadmap aligned to customer needs
Drive foundational research for new ads modeling approaches and paradigms
Use rich user data and large-scale compute to validate models quickly
Collaborate with engineering and product to productionalize research

What you bring

Hands-on experience applying state-of-the-art machine learning and deep learning to complex real-world problems, specifically user behavior modeling
Proficiency with Python and PyTorch, plus deep learning frameworks
Strong understanding of metric design, large-scale data analysis, and distributed computing frameworks
Proven ability to drive projects end-to-end, resolving critical cross-team problems and delivering measurable business results

Tools you’ll use

Python
PyTorch

Compensation

Gross annual salary ranges by zone:

Zone A: $250,300 - $325,400 USD
Zone B: $222,600 - $289,400 USD
Zone C: $197,400 - $256,600 USD

Benefits and support

Unity Technologies SF offers a comprehensive set of benefits and programs to support your health, growth, and life outside of work:

Comprehensive health, life, and disability insurance
Commute subsidy
Employee stock ownership
Competitive retirement/pension plans
Generous vacation and personal days
Support for new parents through leave and family-care programs
Office food snacks
Mental Health and Wellbeing programs and support
Employee Resource Groups
Global Employee Assistance Program
Training and development programs
Volunteering and donation matching program

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2d ago

Staff Machine Learning Engineer

Integral Ad Science, Inc. New York, NY 🇺🇸 Remote

New York, NY

2d ago

$135k - $232k/yr Full time Ai Ml Artificial Intelligence Data Science

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Job Description

Integral Ad Science, Inc. is seeking a Staff Machine Learning Engineer to join the Data Science team in New York, NY (remote). This role focuses on technical leadership for large-scale AI/ML services and production machine learning systems that support globally deployed models across open web, social, video, and mobile apps. If you enjoy shaping end-to-end architecture, mentoring engineering talent, and turning ambitious ideas into production outcomes, this is a strong fit.

What you’ll do

Set the architectural vision and drive system design for core AI/ML-based services.
Serve as the technical lead for complex, multi-quarter initiatives from inception through global deployment.
Design and build deep learning infrastructure and platforms for distributed model training, with an emphasis on low-latency and high availability at enterprise scale.
Lead architecture design reviews by establishing standard methodologies and defining code quality expectations.
Collaborate with Product Management, Core Engineering, and executive stakeholders to align ML capabilities with business strategy.
Translate abstract product requirements into concrete technical designs and production-ready implementations.
Mentor and guide senior and mid-level data scientists and engineers.
Work with large-scale AI training infrastructure and ecosystems, including accelerators, network fabrics, CUDA, NCCL, RDMA, and big data tooling such as Databricks, Spark, Kubernetes, Kafka, and Prometheus.
Design, develop, and support robust CI/CD pipelines so ML models move reliably from research into dependable production endpoints.

What you bring

PhD/Master’s in a technical field such as computer science, mathematics, statistics, or equivalent years of experience.
7+ years of industry machine learning experience, with a track record operating at the Lead, Principal, or Staff level.
Deep expertise designing complex ML systems, including ranking infrastructures and data pipelines capable of massive throughput.
Production-hardened experience with frameworks including PyTorch, JAX, and/or TensorFlow.
Strong production-grade programming skills in Python, Go, Java, or C++, plus solid software design principles and algorithms.
Proven ability to operate in ambiguity, take large unstructured problems, and drive them to successful technical resolution.
A strong history of collaborating with, elevating, and mentoring engineering talent.

Compensation and benefits

Salary range: USD 135,100 - 231,600 per year.

Paid time off
Health insurance (medical, dental, vision)
PPO, HSA and FSA options
401k with employer matching contributions
Annual bonus and/or other incentive plans

Tools you’ll work with

PyTorch, JAX, TensorFlow, Python, Go, Java, C++, CUDA, NCCL, RDMA, Databricks, Spark, Kubernetes, Kafka, Prometheus

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2d ago

Camera Machine Learning Engineer

Apple Cupertino, CA

Cupertino, CA

2d ago

$150k - $225k/yr Full time Ai Ml Artificial Intelligence Computer Vision Ml

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Job Description

Build ML-powered camera technology for Apple products on-site in Cupertino. In the Camera Hardware Engineering group, you will work on end-to-end research, design, development, test, and qualification of camera hardware. The focus is practical machine learning for camera tasks, including image and video processing, computational photography, and scene understanding, paired with hands-on prototyping, evaluation, and ongoing design characterization.

What you’ll do

Own the full lifecycle of camera hardware work for Apple products, including research, design, development, test, and qualification.
Drive ongoing evaluation, benchmarking, and characterization of Apple camera products.
Research, design, and implement machine learning algorithms for camera tasks such as image and video processing, computational photography, and scene understanding.
Partner with data collection teams to curate large-scale image and video datasets, then perform analysis and preprocessing to train and validate ML models effectively.
Create ML prototypes and validate performance through rigorous testing and user feedback.
Use your results to inform continuous improvement across camera capabilities.

Requirements

MS or Ph.D. in Machine Learning, EE, CS, Physics, Optics, or equivalent, plus 3+ years of experience in machine learning research or a relevant industry background.
Experience applying deep learning to computer vision tasks such as object recognition, image segmentation, inpainting, and anomaly detection.
Experience using generative AI and reinforcement learning techniques to improve hardware design processes.
Experience with advanced ML methods for optimizing system architectures and improving image quality in hardware design.
Experience with image quality metrics and evaluation methodology.
Bachelor’s degree and a minimum of 3 years of experience in Computer Science, Electrical Engineering, Physics, Optics, or a related field.
Proficiency in Python and deep learning frameworks such as PyTorch.
Strong foundation in machine learning and computer vision principles and algorithms.
Experience with camera and/or image sensor technologies.

Tech stack

Python
PyTorch

Pay & benefits

Base pay range: USD 150,400 - 225,300 per year. Base pay depends on skills, qualifications, experience, and location.

Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses, including tuition
Discretionary bonuses or commission payments, and possible relocation eligibility
Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
Eligible for discretionary restricted stock unit awards
Can purchase Apple stock at a discount if voluntarily participating in the Employee Stock Purchase Plan

Benefit, compensation, and employee stock program details are subject to eligibility requirements and other terms of the applicable plan or program. Learn more about Apple Benefits.

Location: Cupertino, CA (onsite)

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3d ago

Staff Machine Learning Engineer

Coupang Mountain View, CA

Mountain View, CA

3d ago

$164k - $282k/yr Full time Marketing Ad Tech Ai Ml

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Job Description

Build next-generation machine learning systems for Coupang’s offsite advertising business in Mountain View.

Responsibilities

Design and build ML models and systems to improve ad targeting, ranking, bidding, and campaign performance across Coupang Offsite Ads.
Develop large-scale prediction and optimization models for CTR, CVR, GMV, and bidding optimization.
Apply modern AI approaches including LLMs, embeddings, agentic AI, and deep learning to address complex advertising challenges.
Build scalable ML infrastructure and production systems to support rapid experimentation and reliable model deployment.
Define success metrics, evaluate business impact, and improve model performance through data-driven experimentation.
Partner with Product, Engineering, Data Science, and business teams to solve high-impact customer and advertiser problems.
Drive initiatives from concept through production with strong ownership and accountability for business outcomes.
Mentor engineers and contribute to a culture focused on technical excellence, innovation, and continuous learning.

Requirements

Bachelor’s degree in Computer Science, Machine Learning, Statistics, Mathematics, Electrical Engineering, or a related quantitative field.
6+ years of industry experience developing and deploying machine learning solutions in production environments.
Strong foundation in machine learning, deep learning, statistical modeling, optimization, and large-scale data systems.
Hands-on experience building production-grade ML systems using Python and/or Java.
Strong experience with PyTorch and modern deep learning architectures for prediction, ranking, recommendation, retrieval, or optimization problems.
Demonstrated ability to solve complex and ambiguous business problems through data-driven analysis and ML innovation.
Proven track record of owning large technical initiatives and delivering measurable business impact.

Technologies

Python, Java, PyTorch
LLMs, embeddings, agentic AI, deep learning
CTR, CVR, GMV
XGBoost, LightGBM, Scikit-learn
MLflow, Kubeflow, Spark, Airflow

Preferred Qualifications

Master’s degree or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related field.
Experience in digital advertising, recommendation systems, ranking systems, marketplace optimization, or large-scale machine learning.
Experience with modern AI technologies including LLMs, generative AI, embedding models, retrieval systems, or agentic AI.
Strong expertise in PyTorch and developing large-scale production machine learning systems.
Experience with distributed training, model serving, and ML platforms in cloud environments.
Familiarity with ML tools and frameworks including PyTorch, XGBoost, LightGBM, Scikit-learn, MLflow, Kubeflow, Spark, and Airflow.
Demonstrated ability to solve ambiguous problems, drive technical strategy, and deliver measurable business impact.
Strong communication and collaboration skills to influence stakeholders across multiple functions.
Comfort operating in a fast-paced, high-growth environment with a strong sense of ownership and customer focus.

Pay & Benefits

Base salary: $164,000/year to $282,000/year (Staff position range).
Pay is based on factors including market location and may vary based on job-related knowledge, skills, and experience.
Annual bonus: 0-20% of base salary.
Medical/Dental/Vision/Life, AD&D insurance.
Flexible Spending Accounts (FSA) & Health Savings Account (HSA).
Long-term/Short-term Disability.
Employee Assistance Program (EAP) program.
401K Plan with Company Match.
Paid Time Off (PTO): 18-21 days/year based on tenure.
12 Public Holidays.
6 weeks Paid Parental leave.
Pre-tax commuter benefits.
MTV: [Free] Electric Car Charging Station.

Other Compensation

“Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that may be offered in addition to the established salary range or wage scale.

Recruitment Process

Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
The exact process may vary and can change due to scheduling or other circumstances.
Interview schedules and results are communicated via the email address submitted during application.

Additional Notes

This job posting may close prior to the stated application end date if openings are filled.
Coupang may rescind an offer if false information was submitted during the application process.
Candidates eligible for employment protection (for example, recipients of veteran’s benefits or the disabled) may receive preferential treatment in accordance with applicable laws.

Privacy Notice

Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice: https://www.coupang.jobs/privacy-policy/ . For reasonable accommodation during the recruiting process due to a disability, contact usrecruiting@coupang.com.

Requisition ID: R0078849

Location: Mountain View, CA (onsite)

Summary focus: Prediction, bidding optimization, auction dynamics modeling, generative retrieval, foundation models/LLM-powered advertising, and agentic AI systems for Offsite Ads.