Jobs in the United States

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Member of Technical Staff: Mechanical Engineering
Walden Robotics
Cambridge, MA
- $145,000 to $195,000 USD / year
We are hiring a Mechanical Engineer to design, build, and ship high-performance mechanical systems for our robot. In this role, you will own the design of defined mechanical components and…
Added 1 min ago
Solutions Engineer, Enterprise, Central
Factory
Remote, United States
We build the platform for self-improving software development, helping the world's largest enterprise engineering teams turn their organizations into autonomous software factories.…
Added 2 mins ago
Software Engineer
Everpure
Santa Clara, CA
…availability to global organizations. As a Systems Software Engineer on our Core Engineering team, you will design and scale critical distributed infrastructure handling massive data…
Added 2 mins ago
Senior Clinical Research Engineer
Intuitive
Sunnyvale, CA
…individual brings their clinical device development expertise to new platform and technology development, and is responsible for identifying, documenting, and understanding user needs and…
Added 3 mins ago
Sr Manager, Product Marketing - CRM
ServiceNow
Remote, United States
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 3 mins ago
Distinguished Platform Engineer
ServiceNow
Santa Clara, CA
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 3 mins ago
Director, Pricing and Packaging Strategy - Employee Experience Group
ServiceNow
Mountain View, CA
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 3 mins ago
Principal Technical Consultant-Federal
ServiceNow
Remote, United States
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 4 mins ago
Electrical Engineer
Applied Materials
Santa Clara, CA · Santa Clara
Applied Materials' Platform Center of Excellence (PCOE) Controls Hardware Team is seeking an experienced Electrical Engineer to drive the selection, integration, validation, and deployment…
Added 4 mins ago
Senior Backend Engineer - Camera Foundation
Verkada
San Mateo, CA
You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses…
Added 5 mins ago
Backend Software Engineer - Enterprise
E2B
San Francisco, CA
You'll develop the Go services behind E2B's enterprise orchestration platform, which manages deployments in customers' AWS, Google Cloud, and Azure environments.
Added 5 mins ago
Platform Engineer
Wellmark, Inc.
Des Moines, IA
As a Platform Engineer, you will lead technical design efforts in collaboration with Solution Architects, for highly integrated/complex application platforms; optimizing security,…
Added 5 mins ago
Vice President ( Lead Securities Python Quantitative Developer )
B10 Wells Fargo Bank, N. A.
CHARLOTTE, NC
Wells Fargo is seeking a Quantitative Software Engineer, Vice President (Lead Securities Quantitative Analytics Specialist). A successful applicant will be a Python quantitative developer…
Added 6 mins ago
Senior Cloud Data Ops Engineer
Granite Telecommunications
Quincy, MA
The Cloud Data Ops team is hiring a Senior Cloud DBA & Data Platform Engineer who brings deep, hands-on DBA expertise across SQL Server, Postgres (w/Timescale) and Oracle, combined with…
Added 6 mins ago
Digital Manufacturing Engineer - Manufacturing Data & Automation
Fairbanks Morse Defense
Walpole, MA
Position Title: Digital Manufacturing Engineer – Manufacturing Data & Automation
Added 8 mins ago
DevOps & Systems Engineer
Safepoint MGA, LLC
Temple Terrace, FL
The DevOps & Systems Engineer is responsible for the reliability, security, automation, deployment, monitoring, and ongoing administration of the company's cloud and internal technology…
Added 8 mins ago
Senior Manager, Accounting
BlueRock Therapeutics LP
Cambridge, MA
…of cellular medicines. Utilizing our proprietary CELL+GENE™ platform, we direct cellular differentiation and genetically engineer cells to create transformative therapies for patients…
Added 8 mins ago
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Integration Engineer
TEKsystems
Palm Beach, FL
- $125,000 to $135,000 USD / year
Design, develop, and maintain enterprise API platform capabilities utilizing Apigee.
Added 8 mins ago
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Software Engineer | Developer Experience
Volta
Palo Alto, CA
- $200,000 to $290,000 USD / year
Volta is the category-defining, fully vertically integrated AI infrastructure platform – from capital to clusters to software, under a founder-led enterprise. Our mission is The Utility of…
Added 9 mins ago
QA Engineer 3
Onto Innovation Inc-US
United States
We are looking for an experienced and skilled Software Test Engineer to join our team. The ideal candidate will have a strong background in verification and validation of complex software.…
Added 9 mins ago
Senior Software Engineer
Onto Innovation Inc-US
United States
We are looking for a Software Engineer to join the Inspection Business Unit (IBU). Whether you are launching your career or bringing years of deep expertise, what matters most is how you…
Added 10 mins ago
Senior DevOps Engineer
Autodesk
Remote, United States
Autodesk is seeking a Senior DevOps Engineer to join the Revit Cloud work sharing team. Our cloud services help architects and engineers collaborate on complex building projects around the…
Added 11 mins ago
Senior Salesforce Engineer
Growth Acceleration Partners
Remote, United States
We are looking for a Senior Salesforce Engineer to lead the design, development, and delivery of high-performing, scalable solutions on the Salesforce platform. In this customer-centric…
Added 11 mins ago
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VP, Data Engineering
Confido
New York, NY
- $300,000 to $380,000 USD / year
We're building the platform they run on, and a brand they'll be proud to be part of.
Added 12 mins ago
Data Engineer
Williams International
Pontiac, MI
Williams International has an exciting opportunity for a Data Engineer to join our team. The Data Engineer will be responsible for developing and supporting data engineering projects by…

Tyler Technologies

ML/AI Data and Cloud Engineer

United States

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Job details

Posting language: English

Original job description

Description

We are seeking an ML/AI Data & Cloud Engineer to design, build, and operate the cloud-native components that deliver large-scale, data-intensive AI capabilities. This role focuses on building scalable data platforms, distributed processing systems, and model-serving infrastructure that enable end-to-end machine learning workflows in production. You will work closely with data scientists and product teams to transform advanced models into reliable, high-performance services. The ideal candidate combines strong engineering skills with a solid grounding in quantitative methods, and is comfortable leveraging modern AI-assisted development tools to accelerate research, prototyping, and delivery.

Responsibilities

Design and implement cloud-native data platforms that integrate structured and unstructured data into scalable data lakes or unified data systems
Build and maintain robust ingestion pipelines using API-driven, streaming, and batch processing workflows
Architect data processing systems for feature engineering, large-scale computation, and model training support
Develop and operate model-serving infrastructure enabling real-time and batch inference via APIs
Develop advanced modeling approaches combining statistical methods and machine learning (e.g., regression, gradient boosting, random forests, and ensemble/meta-learning techniques)
Implement model validation and monitoring frameworks addressing bias, drift, robustness, and performance
Tune cloud infrastructure for performance, reliability, and cost efficiency across compute, storage, and data transfer layers
Build and maintain MLOps pipelines for model deployment, versioning, monitoring, and automated retraining
Ensure platform reliability, fault tolerance, and data integrity across all stages of the data and model lifecycle

Qualifications

Bachelor’s degree in Computer Science, Data Engineering, Engineering, Applied Mathematics, or related field (or equivalent experience)
3+ years of experience in data engineering, cloud engineering, ML platform engineering, machine learning engineering, AI systems, quantitative modeling, or data-intensive platform development
Strong programming skills in Python and experience with backend, data engineering, or experience with modern ML frameworks and data tooling
Experience designing and operating cloud-native systems (AWS or equivalent)
Experience building and maintaining large-scale data pipelines and working with high-volume datasets
Experience developing APIs or microservices for production systems
Solid understanding of distributed systems, data processing, and system reliability concepts
Solid foundation in algorithms, data structures, and computational thinking

Preferred Qualifications

Familiarity with modern AI-assisted development tools and workflows (e.g., LLM-based coding assistants, agentic development environments, or similar tools)
Exposure to machine learning workflows and the infrastructure required to support training and inference at scale
Experience with cloud services (e.g., AWS: S3, EC2, Lambda, Glue, SageMaker, or equivalents)
Experience with containerization (Docker/Podman, ECS)
Experience with data lake architectures and multi-source data ingestion patterns
Familiarity with MLOps practices, including reproducibility, model versioning, and deployment automation
Working knowledge of statistics, econometrics, quantitative modeling, and optimization
Familiarity with cloud cost optimization strategies and performance tuning

What You’ll Work On

Scalable cloud data platforms integrating diverse, high-volume datasets
Foundational predictive models that adapt across markets rather than being rebuilt for each use case
A cloud-native platform supporting data ingestion, model training, inference, and scalable deployment
Intelligent systems for ranking, matching, scoring, and explanation of model outputs
Robust evaluation and monitoring frameworks for model performance and reliability
API-driven integration of AI capabilities into broader software ecosystems

Why Join Us? You’ll work on challenging, high-scale systems at the intersection of data engineering, cloud infrastructure, and machine learning. This role offers the opportunity to build foundational platforms that support advanced AI capabilities while shaping architecture, tooling, and best practices in a rapidly evolving space.

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