Texas

Engineer Jobs in Texas

990 jobs found

Include remote jobs

1mo ago

Sr Software Engineer - Content & Industry Services

News Corp Austin, TX

Austin, TX

1mo ago Closed

Full time Backend Developer Senior APIs

This position is no longer accepting applications (closed Oct 19, 2026).

Job Description

Realtor.com is hiring a Senior Software Engineer to support the Content team at News Corp, with a focus on making valuable data usable and delivering software that drives content ingestion, processing, and publishing across realtor.com and a publisher network. This onsite role in Austin supports mission-critical full-stack systems on AWS, including AI-driven improvements to content quality and developer efficiency.

Responsibilities

Collaborate with Product Managers, Designers, and Engineers to deliver high-impact solutions that drive business value
Champion process improvements that strengthen code quality, increase team efficiency, and improve predictability of deliverables
Mentor and coach engineers across experience levels to support a culture of growth, ownership, and engineering excellence
Design, build, and maintain user-centric application features that support intuitive, high-quality experiences
Design, develop, and operationalize scalable backend services, data pipelines, and distributed systems using modern data architectures on AWS
Use AI and automation to improve data quality, monitoring, and operational efficiency
Improve developer experience by enhancing the toolchain, automating infrastructure provisioning, and streamlining CI/CD pipelines
Evaluate and recommend technologies and frameworks that improve architecture, performance, or developer productivity
Operate within an Agile/Scrum product development process

Requirements

Proven delivery of high-quality products and experience writing clean, maintainable code in a fast-paced, collaborative environment
Self-starter capability to manage projects independently, prioritize effectively, and set clear expectations with stakeholders
Full-stack experience building and maintaining scalable frontend and backend systems
Strong attention to detail and a commitment to exceptional user experiences
Deep focus on data accuracy, consistency, and integrity
Programming proficiency in multiple languages and frameworks, including Python, Go, JavaScript, and ReactJS, with willingness to learn new technologies as needed
Cloud and platform experience for development, deployment, and architecture, including CircleCI, Kafka, Kubernetes, GraphQL, MySQL, PostgreSQL, and AWS services such as EC2, S3, and RDS
Exposure to build, test, and deployment automation technologies
Familiarity with CI/CD pipelines, automated testing, and deployment best practices
Exposure to monitoring, incident alerting, and service reliability practices to support SLAs
Demonstrated understanding of computer science fundamentals, including data structures, algorithms, and schema/database design
Education: Bachelor’s degree in Computer Science, Engineering, or a related field; a Master’s degree is a plus

Technologies

Python, Go, JavaScript, ReactJS
CircleCI, Kafka, Kubernetes, GraphQL
MySQL, PostgreSQL
AWS services including EC2, S3, RDS; AWS

Benefits

Inclusive and competitive medical, Rx, dental, and vision coverage
Family forming benefits
13 paid holidays
Flexible Time Off
8 hours of paid Volunteer Time off
Immediate eligibility into the Company 401(k) plan with 3.5% company match
Tuition Reimbursement program for degreed and non-degreed programs
1:1 personalized Financial Planning Sessions
Student Debt Retirement Savings Match program
Free snacks and refreshments in each office location

Workplace Information

Location: Austin, TX (onsite)
Minimum Experience: 5 years

Company Note

Realtor.com is committed to investing in the health and wellbeing of employees and their families.

View full job page →

1mo ago

Staff Software Engineer

News Corp Austin, TX

Austin, TX

1mo ago Closed

Full time APIs JavaScript Programming

This position is no longer accepting applications (closed Oct 19, 2026).

Job Description

News Corp is seeking a Staff Software Engineer to lead the technical reliability and direction behind Realtor.com’s Organic Growth Engineering platform. This individual-contributor role combines technical SEO with organic social sharing and deeplinking systems, with ownership of incident response, SLOs/SLIs, and production-grade execution at scale.

Role Overview

The Staff Software Engineer (Technical SEO & Social Lead) owns the platform’s technical strategy and operational reliability for organic search and organic social sharing/deeplinking. Responsibilities span crawl, indexation, canonicalization, robots, sitemaps, and rendering strategy, along with share-link resolution via AppsFlyer and the systems required for dependable attribution and routing.

Key Responsibilities

Define the technical strategy for SEO at scale, including crawl budget, indexation, canonicalization, robots directives, sitemaps, and rendering across millions of pages, plus establish QA testing methodology and regression-testing standards before production changes.
Set the technical strategy for organic social sharing and deeplinking, including standards for share-link reliability and the way shared listing links resolve through AppsFlyer link generation, attribution, and in-app vs. web fallback.
Lead incident response for SEO and deeplinking by diagnosing issues across edge and delivery, bot management, routing, rendering, content services, and attribution/MMP infrastructure, and driving the appropriate owners to resolve cross-system failures.
Own the escalation framework, run war rooms, and ensure post-mortems close the loop into new alerts, gates, and runbooks.
Own SEO and social-sharing reliability direction by defining SLOs/SLIs and the on-call model in collaboration with the observability engineer, covering crawl/indexation health and deeplink resolution/attribution health.
Maintain a reviewed view of shipping changes that impact organic-critical pages or the share/deeplink path in partnership with the Organic Growth PMs, including the Director, Organic Growth.
Drive log-file, crawl-budget, and deeplink-performance analysis by defining what to measure, such as crawler behavior (crawl waste, over-crawl patterns, index drift) and deeplink performance (resolution failure rate, attribution loss, in-app vs. web fallback rate), leveraging data pipelines created by the observability/data engineer.
Raise the technical bar through engineering standards, leading design reviews, and mentoring engineers through delivery rather than through a reporting line.
Partner with the Organic Growth product team on roadmap, KPIs, and business accountability for SEO/AEO and organic social channels, setting the “how” for the platform beneath their “what and why.”

Required Qualifications

8+ years of software engineering experience, including experience owning technical SEO or crawl/rendering infrastructure; Bachelor's degree in Computer Science or equivalent experience.
Experience with federated GraphQL and API gateway architectures, and familiarity with CDN, WAF, and bot-management layers.
Familiarity with search engine indexing APIs, and with dynamic-rendering or prerender approaches.
Direct experience with AppsFlyer (or Branch/Adjust) SDK integration, OneLink/deferred deep linking, and attribution reconciliation.
Experience defining SLOs and real-time alerting for a customer-facing platform.
Experience standing up or re-platforming an SEO engineering function.
Strong backend engineering skills, with proficiency in Python and JavaScript/TypeScript (Node), and comfort owning production services.
Rendering fluency with hands-on work using React/Next.js and the SEO implications of SSR/SSG/ISR/CSR, including debugging hydration and crawler-rendering issues.
Data and analysis skills, including SQL against a cloud data warehouse for log-file, crawl-budget, and deeplink-performance analysis.
CI/CD and automation experience, including building or owning regression gates and automated quality checks in the delivery pipeline.
Technical leadership as an IC: ability to drive fixes and influence design across teams without positional authority, and ability to serve as a calm incident commander.
AI-assisted engineering fluency, including the ability to evaluate AI coding assistant output and identify incorrect production code.
Experience with deeplinking/attribution infrastructure is a strong plus even without an SEO background.

Technologies

GraphQL, API gateway, CDN, WAF, bot-management
AppsFlyer, Branch, Adjust, OneLink, deferred deep linking, attribution reconciliation
SLOs, real-time alerting
Python; JavaScript/TypeScript (Node)
React, Next.js; SSR, SSG, ISR, CSR
SQL; cloud data warehouse

Preferred Qualifications (Nice to Have)

Deep technical-SEO engineering expertise, including demonstrable ownership of crawl budget, indexation, structured data, rendering, and site migrations at scale (ideally high-traffic marketplace or content sites).
Deeplinking and attribution expertise, including hands-on experience with mobile measurement partners (AppsFlyer or equivalent such as Branch/Adjust), deep-link generation, resolution, and attribution debugging.

Benefits

Inclusive and competitive medical, Rx, dental, and vision coverage
Family forming benefits
13 paid holidays
Flexible Time Off
8 hours of paid volunteer time off
Immediate eligibility into the Company 401(k) plan with 3.5% company match
Tuition Reimbursement program for degreed and non-degreed programs
1:1 personalized Financial Planning Sessions
Student Debt Retirement Savings Match program
Free snacks and refreshments in each office location

Work Location and Schedule

Hybrid role based in the Austin, TX office; candidates must be within commutable distance.
Employees work three or more days in the office for in-person collaboration.

View full job page →

1mo ago

Full Stack Software Engineer

TechniPower, Inc. Fort Worth, TX

Fort Worth, TX

1mo ago Closed

Full time Backend Developer .NET .NET Core

This position is no longer accepting applications (closed Oct 19, 2026).

Job Description

TechniPower, Inc. is hiring a Full Stack Software Engineer for an on-site role in Fort Worth, TX. This position is temporary with the possibility of becoming permanent, focused on delivering and maintaining full-stack applications for aircraft systems and related technologies.

Role Summary

The Full Stack Software Engineer will design, develop, and maintain robust software solutions spanning backend and front-end components, with responsibility for database development, quality testing, and support of deployments within cloud and CI/CD environments. Experience with clean architecture approaches, including domain-driven design, CQRS, and service-oriented design, is central to the role.

Responsibilities

Design, develop, and maintain full-stack applications using .NET / C# and Vue.
Design and build systems using clean architecture principles, including domain-driven design (DDD), CQRS patterns, and service-oriented design.
Develop and manage relational databases using Postgres and SQL, with a focus on data integrity and performance.
Operate within established CI/CD pipelines and cloud environments to support application deployment and reliability.
Apply DDD principles to produce software solutions that are scalable, maintainable, and effective.
Write and maintain unit tests and integration tests to support software quality and reliability.

Required Qualifications

U.S. Citizenship required.
7+ years of experience in full-stack software development.
Bachelor’s degree in computer science, Information Technology, Engineering, or a related discipline (or equivalent experience).
Proficiency in .NET / C# for backend development.
Strong experience with front-end frameworks, including Vue.
Solid understanding of relational databases, including Postgres and SQL.
Familiarity with CI/CD pipelines and DevOps workflows.
Experience with cloud platforms such as Azure or AWS.
Experience designing and building systems using clean architecture principles, including DDD, CQRS, and service-oriented design.
Experience with test-driven development (TDD) and a commitment to writing high-quality, maintainable code.

Additional Notes

Experience working with a monolith architecture is a plus.

Location and Work Arrangement

Fort Worth, TX (onsite).

Technical Stack

.NET / C#
Vue
Postgres
SQL
CI/CD pipelines
DevOps
Azure, AWS
CQRS, domain-driven design (DDD), service-oriented design
test-driven development (TDD)

View full job page →

1mo ago

Data Scientist II - ML Engineering

HEB San Antonio, TX

San Antonio, TX

1mo ago Closed

Full time Artificial Intelligence CI/CD Data Pipeline

This position is no longer accepting applications (closed Oct 18, 2026).

Job Description

Lead ML engineering across an enterprise ML platform, production model lifecycle, and Generative AI workflows.

Responsibilities

Design, create, and maintain an ML platform and related environments
Manage Docker containers and Kubernetes clusters, including dependencies and configurations
Implement CI/CD pipelines to automate building, testing, and deployment of machine learning models
Monitor and optimize model training performance and resource usage
Deploy machine learning models to production environments
Manage model versioning and rollback mechanisms
Enable scalable, reliable model serving using tools such as Vertex, Databricks, TensorFlow Serving, Flask, or FastAPI
Work with data scientists, data engineers, and stakeholders to understand and fulfill infrastructure needs
Stay current on latest ML infrastructure technologies and best practices
Architect and develop Generative AI solutions using Machine Learning and GenAI techniques
Engineer and deploy Generative AI models focused on Retrieval-Augmented Generation (RAG), search, knowledge graphs, and multi-agent workflows
Prepare both unstructured and structured data for Language Model Learning (LLM) context, including:
- Embedding large text corpora
- Developing generative SQL queries
- Building connectors to structured databases
Train models on prepared data and tune fine-tuning hyperparameters for optimal performance

Analytics / Design & Development

Build a framework to stitch cross-domain learning and optimize for mission-specific and multi-mission tasks
Specialize in AI interpretation and causality:
- Uncover model causality relationships
- Build a framework to measure bias, underspecification, and latent drivers with their connections
Create an enterprise domain-specific reasoning system to improve actionable insights and optimize machine learning resource usage
Orchestrate reusable storytelling methodology to support AI translation
Apply inquisitive, transparency-focused approaches for ML/AI visibility to the business
Use AI reasoning to produce business action recommendations
Apply AI research to accelerate business innovation

Requirements

Related degree or comparable formal training, certification, or work experience
5+ years of experience in a retail or retail-related decision science role
Expertise in ML visualization flow
Expertise in optimizing distributed machine learning in a heterogeneous domain environment
Programming knowledge: SQL, R, Python, Scala, Java, C/C++
Big data / ML optimization knowledge, including:
- GPU code optimization
- Horovod
- Spark MLlib optimization
- Cython, JNI, Numba
Mainstream ML / AI knowledge, including:
- Manifold learning
- Distributed clustering
- Graph network
- Hierarchical model
- Bayesian network
- Deep learning
- Computer vision
- NLP/NLU
- Reinforcement learning
- Meta-learning
- Federated learning
Skills to apply causal reasoning representation and learning, plus human-centric, explainable, responsible AI
Ability to act as a creative storyteller and translator between business questions and ML solutions
Ability to work with imperfect or incomplete data
Ability to apply AI reasoning into business action recommendation
Comfort working in a fast-paced retail environment with frequently shifting priorities
Ability to work extended hours and sit for long periods

Technologies

Docker, Kubernetes, CI/CD
Vertex, Databricks, TensorFlow Serving, Flask, FastAPI
Machine Learning, GenAI, Retrieval-Augmented Generation (RAG), Language Model Learning (LLM)
SQL, R, Python, Scala, Java, C/C++
GPU code optimization, Horovod, Spark MLlib, Cython, JNI, Numba
Manifold learning, distributed clustering, graph network, hierarchical model, Bayesian network
Deep learning, computer vision, NLP/NLU, reinforcement learning, meta-learning, federated learning

Location: San Antonio, TX (onsite)

Experience: 5+ years

View full job page →

1mo ago

Industrial AI Engineer

Siemens Grand Prairie, TX

Grand Prairie, TX

1mo ago Closed

$84k - $144k/yr Full time Artificial Intelligence Data Analytics Data Integration

This position is no longer accepting applications (closed Oct 18, 2026).

Job Description

Siemens is hiring an Industrial AI Engineer to build and scale production-ready Industrial AI capabilities for the Dallas–Fort Worth region, based onsite in Grand Prairie, TX. In this role, you will deploy AI models in live factory settings, validate outcomes using production data, and support adoption on the shop floor.

The position focuses on taking industrial data from operational environments and turning it into reliable, integrated AI solutions that improve manufacturing performance. You will work across engineering, data, security, and factory stakeholders to ensure the solutions are dependable under real-world constraints and scalable across plants.

Responsibilities

Develop and deploy AI models that tackle industrial and manufacturing challenges using data-driven insights and decision-making.
Use time-series shopfloor data and MES/IT data to design and build AI solutions aligned with real production processes and operational needs.
Perform data preparation and engineering, then develop models that use contextualized industrial data effectively.
Deploy AI models into real factory environments, maintaining reliable performance under conditions such as data variability, latency, and workflow integration.
Partner with Cybersecurity, Data Architects, System Architects, software developers, and factory teams to ensure AI solutions are scalable, reusable, and integrated into industrial systems.
Collaborate with external partners to help implement standardized Industrial AI solutions.
Continuously validate and refine AI models using production data and feedback to deliver measurable operational and business improvements.
Lead scaling across plants by enabling repeatable deployment patterns and contributing to organizational standardization of Industrial AI capabilities.

Requirements

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
2+ years of experience developing and deploying AI/ML models in production environments, preferably in industrial, manufacturing, or automation.
2+ years of experience programming in relevant languages such as Python, R, or Java, and using AI/ML frameworks including TensorFlow, PyTorch, and scikit-learn, with hands-on machine learning model building and testing.
2+ years of experience deploying and validating AI models in industrial or production environments.
2+ years of experience in cross-functional, customer-facing teams and adapting solutions to changing requirements.
2+ years of experience working with data-driven systems in operational or industrial contexts.
Willingness and ability to travel up to 20% to support customer teams during critical deployment periods.
Authorized to work in the United States without sponsorship now or in the future.

Technologies

Python, R, Java
TensorFlow, PyTorch, scikit-learn
MES/IT
Time-series shopfloor data
Siemens Senseye, Siemens Industrial Edge
AI/IoT platforms
OT/IT integration
Cloud-based AI deployment

Preferred Qualifications

Strong analytical, problem-solving, and communication skills, including translating complex technical ideas into practical industrial applications.
Experience in production manufacturing settings, including piloting, validating, and refining AI solutions based on operational feedback.
Familiarity with Industrial AI platforms and ecosystems, including Siemens solutions such as Senseye and Industrial Edge or comparable AI/IoT platforms, along with industrial automation systems, OT/IT integration, and cloud-based AI deployment.
Knowledge of data preparation, feature engineering, AI model evaluation, and compliance, safety, and regulatory considerations for AI in industrial environments.
Experience managing multiple projects and workstreams in deadline-driven environments, supporting continuous improvement through performance monitoring, model drift mitigation, model refinement, and scaling across deployments.
Proven ability to share deployment learnings and collaborate with factory teams to drive continuous improvement and adoption of AI solutions.

Salary: USD 83,966 - 143,942 per year. Experience: 2+ years. Location: Grand Prairie, TX (onsite).

View full job page →

1mo ago

Cybersecurity Sr Engineer

CBRE Richardson, TX

Richardson, TX

1mo ago Closed

Full time Senior Adversarial Ai Security Agent

This position is no longer accepting applications (closed Oct 18, 2026).

Job Description

CBRE is seeking a Cybersecurity Sr Engineer to help mitigate enterprise cyber security risk by embedding security processes, tools, and people into business practices. This role also supports and maintains secure GenAI and LLM solutions while contributing to global AI security governance, threat modeling, incident response, and reporting.

Location

Richardson, TX (onsite)

Experience and Education

Minimum experience: 3 years
Education: Bachelor’s degree (BA/BS) in a related field of work
Equivalent experience: 2 years of related experience for every year of higher level education

Key Responsibilities

Support and maintain secure solutions for GenAI, LLMs, agents, and MLOps platforms
Develop and implement guardrails, access controls, and prompt protection
Lead AI-focused threat modeling and work to reduce model/system attack surface
Align AI security controls with NIST AI RMF, ISO/IEC 42001, OWASP LLM Top 10, and MITRE ATLAS
Collaborate with red teams and support adversarial testing
Guide incident response playbooks for AI security events
Integrate security capabilities with secrets managers and cloud-native security platforms
Deploy security tooling and observability for AI behavior
Mentor teams and serve as a subject matter expert (SME) on AI risks and controls
Contribute to policy and governance for responsible AI use
Develop reporting that demonstrates operational excellence and product performance metrics
Participate in an on-call rotation to ensure uptime and functionality of critical internal customer services
Maintain well founded opinions and be willing to express disagreement when approaches do not meet internal evaluation standards
Mentor and coach team members to develop competencies; model behaviors consistent with the company’s values
Other duties as assigned

Required Skills and Qualifications

Advanced experience administering security-based tools related to CSPM/CNAPP, CIEM, and vulnerability scanners (OSA, SAST, DAST)
Intermediate experience with cloud services including OpenSearch, Azure OpenAI, and AWS Bedrock
Intermediate experience solutioning and working with cloud providers in addition to AWS such as GCP, Alibaba, or Azure
Intermediate experience writing and running Terraform
Intermediate Linux systems administrator experience (or equivalent skills)
Intermediate experience with DevOps or CI/CD pipelines (e.g., GitHub Actions, GitLab, Jenkins)
Intermediate experience automating multiple systems using functional and object-oriented programming languages
Intermediate experience with RDBMS and Vector storage solutions
Intermediate understanding of source control management and practices using Git and GitHub
Advanced experience onboarding and integrating with third-party PaaS & SaaS
Experience with the Microsoft ecosystem
Directory services experience including AD and LDAP
Understanding of backend application development, including API development, and integration with third-party sources
Understanding of system integration design patterns at scale, including experience in microservice design or development
Strong written and verbal communication skills, including the ability to explain complex cybersecurity concepts across technical and business stakeholders, document standards, author technical reports, and collaborate across engineering, operations, and compliance teams
Strong analytical and decision-making skills with experience solving complex cybersecurity problems, evaluating competing solutions, applying risk-based reasoning, and delivering strategies that improve enterprise security posture and operational resilience

Technologies

GenAI, LLMs, agents, MLOps
Guardrails, prompt protection
NIST AI RMF, ISO/IEC 42001, OWASP LLM Top 10, MITRE ATLAS
CSPM/CNAPP, CIEM, OSA, SAST, DAST
OpenSearch, Azure OpenAI, AWS Bedrock, GCP, Alibaba, Azure
Terraform, Linux, DevOps
CI/CD pipelines, GitHub Actions, GitLab, Jenkins
Functional and object-oriented programming languages
RDBMS, Vector storage solutions
Git, GitHub
PaaS, SaaS
Microsoft ecosystem, AD, LDAP
API development, microservice design

Applicant AI Use Disclosure

CBRE does not use artificial intelligence (AI) tools to make hiring decisions.
Candidates are asked to disclose any use of AI in the application and interview process.

Work Authorization

Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Candidate Accommodations

CBRE provides reasonable accommodations in job application procedures for individuals with disabilities. If you require assistance due to a disability in the application or recruitment process, please submit a request via email at recruitingaccommodations@cbre.com or via telephone at +1 866 225 3099 (U.S.) and +1 866 388 4346 (Canada).

View full job page →

1mo ago

Lead Data Engineer - Data Scientist

Wells Fargo Irving, TX

Irving, TX

1mo ago Closed

$119k - $206k/yr Full time Manager Analytics Artificial Intelligence

This position is no longer accepting applications (closed Oct 18, 2026).

Job Description

Lead data engineering and AI/ML delivery in Cybersecurity within Identity Access Management, turning identity event analytics into safer access governance and anomaly detection.

Responsibilities

Lead complex initiatives with broad impact; contribute as a key participant in large scale software planning for Identity and Access Management
Design, develop, and run tooling to discover issues in data and applications; escalate findings to engineering and product leadership
Apply statistical and data science methods to Identity and Access Management business problems
Act as a subject matter expert on ML, AI, and mathematical and statistical techniques applied to large datasets
Design, support, and operate data pipelines, data models, dashboards, and API integrations for real-time and batch analytics
Design and conduct experiments, statistical analyses, and hypothesis testing to evaluate proposals supporting controls, policies, and operational processes
Build AI capabilities to identify inappropriate access, recommend entitlements prior to user requests, and detect anomalous behavior across millions of identity events
Lead IAM team members and coordinate with operations, onboarding, initiatives, engineering teams, and lines of business and lines of defense to translate analytical needs into technical solutions
Establish and implement engineering and analytical best practices for solution development
Develop solutions in alignment with security, privacy, model risk, and regulatory guidelines
Develop, test, deploy, and support ML-enabled analytical solutions; guide teammates in ML, AI, and statistical techniques to drive AI/ML adoption across IAM
Assist with monitoring model health, reliability, and drift to enable continuous improvement and required remediation
Demonstrate proficiency with AI-assisted development and analysis tools, including GitHub Copilot and approved code-centric agents
Use AI to accelerate system design, coding, testing, analysis, and troubleshooting
Validate and integrate AI-assisted outputs using strong technical judgment, accounting for model limitations, security risks, and operational considerations
Apply AI responsibly in development and production environments, ensuring alignment with security, compliance, privacy, and ethical standards

Requirements

5+ years of Database Engineering experience, or equivalent demonstrated through a combination of work experience, training, military experience, and education
5+ years of experience with Python data science libraries including Pandas, NumPy, and Scikit-Learn, plus exposure to a deep learning framework such as TensorFlow or PyTorch

Technologies

Python, Pandas, NumPy, Scikit-Learn
TensorFlow, PyTorch
Vertex AI, GCP, BigQuery
Neo4j
GitHub
Power BI, Tableau, Alteryx
GitHub Copilot, Claude Code, Cursor, Devin

Benefits

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement

Desired Qualifications

Knowledge of Vertex AI and GCP environments, BigQuery, and deploying models into production on these platforms
Knowledge of graph networks for anomaly detection (Neo4j)
Learning mindset to stay current with developments in the field
Knowledge of GitHub for code management and familiarity with Power BI, Tableau, and Alteryx
Understanding of software engineering fundamentals such as testing, debugging, and code reviews (highly desirable)
Knowledge of the mathematical foundations of statistics, machine learning, and modern AI techniques
Strong understanding of model evaluation techniques for classification and clustering, including precision, accuracy, F1-scores, confusion matrices, and ROC curves
Comfort with AI coding agents (GitHub Copilot, Claude Code, Cursor, Devin or others) and ability to critically examine AI code for fitness for use
Familiarity with LLMs, RAG, and AI agents
Strong SQL skills and ability to work with relational and analytical databases
Strong book-of-work management and organizational skills
Hands-on ability to manipulate data and tools to prototype and present solutions
Confident, self-motivated producer of original ideas and solutions with sound judgment for when to escalate issues
Strong written and verbal communication and excellent presentation skills, including ability to communicate complex technical concepts
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Engineering, or related field

Location and Work Model

Irving, TX (onsite)

Compensation

Salary range: $119,000 - $206,000 per year

Posting Notes

Job posting may come down early due to volume of applicants
Required location(s) listed; relocation assistance is not available
Salary range is determined by location of the job; may be considered for discretionary bonus, Restricted Share Rights, or other long-term incentive awards
Not eligible for visa sponsorship
Role is not eligible for 100% remote work