Austin, TX

Engineer Jobs in Austin, TX

163 jobs found

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Today

Machine Learning Engineer

Adidev Technologies Inc Austin, TX

Austin, TX

Today

Full time AI Ai Ml Artificial Intelligence

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Job Description

Adidev Technologies Inc is hiring a Jr-Mid Machine Learning Engineer with an emphasis on Generative AI to design, deploy, and improve ML systems from end to end.

Responsibilities

Architect, refine, and optimize sophisticated machine learning models and algorithms, turning complex datasets into actionable outputs.
Own data modeling projects across the full lifecycle, from business requirements through deployment and ongoing monitoring.
Perform comprehensive data analysis, including preprocessing and feature engineering, and apply Generative AI algorithms for novel solution development.
Collaborate cross-functionally to integrate Generative AI models into offerings and improve product capabilities and user experiences.
Use advanced analytical approaches on large datasets to identify trends, anomalies, and improvement opportunities.
Execute data preprocessing, feature engineering, and algorithm optimization to improve model accuracy and efficiency.
Conduct exploratory data analysis to extract insights that inform strategic decisions.
Stay current on ML trends and implement best practices and tools, including AutoML, MLOps, and interpretability frameworks.
Support compliance with industry standards and regulatory requirements with a focus on ethical AI.

Requirements

Degree in Computer Science, Engineering, Statistics, or a related technical field.
Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains.
Demonstrable experience using Generative AI models and frameworks, including GANs or Transformers, in industry settings.
Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems.
Strong foundational understanding of algorithmic complexity and data structure optimization.
Strong problem-solving, collaboration, and communication skills.
Capability to develop and implement cutting-edge ML models with a focus on Generative AI use cases such as text generation, image synthesis, and creative AI.
Ability to stay ahead of AI research, especially Generative AI, and apply new findings to project execution.
Proficiency in Python and ML libraries including TensorFlow, PyTorch, and scikit-learn.
Background in cloud computing and big data platforms including AWS, Azure, and GCP, with hands-on experience using cloud-based ML services and serverless architectures.
Familiarity with DevOps for AI, including containerization with Docker and Kubernetes, CI/CD pipelines, and MLOps practices.
Experience facilitating knowledge sharing and best practices in AI/ML with an emphasis on Generative AI within the team.
Ensure implementations follow ethical guidelines and data privacy standards.

Technologies

Python
TensorFlow, PyTorch, scikit-learn
GANs, Transformers
SQL, NoSQL
AWS, Azure, GCP
Docker, Kubernetes
CI/CD
AutoML, MLOps
Serverless architectures

Location

Austin, TX (onsite)

Benefits

Competitive salary range: based on experience and market value
Paid relocation
Remote assistance support
Regular salary reviews

How Adidev Will Guide You

Teaching and Development: dedicated support to build skills for delivering top-tier solutions to end clients.
Custom Support: teams including Development Managers and Tech Subject Matter Experts.
Project Placement: a market-expertise team to help secure and thrive in client projects.
Career Growth: enable industry experience to support your technical journey.

How to Apply

Submit a comprehensive application including a latest updated resume and a detailed cover letter.

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Today

Machine Learning Engineer, Sales Engineering

Apple Austin, TX

Austin, TX

Today

Full time Ai Ml Artificial Intelligence Business Development

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Job Description

Design and deploy production-grade LLM and RAG systems for Apple’s global Channel Sales ecosystem.

Responsibilities

Design, build, and deploy scalable machine learning and generative AI systems for Apple’s global Channel Sales ecosystem.
Develop and optimize ML pipelines using LLMs, LMMs, and RAG-based architectures for production applications.
Partner with cross-functional teams to translate business needs into intelligent, data-driven workflows.
Fine-tune and evaluate transformer-based models (e.g., GPT, LLaMA, BERT) to improve accuracy, performance, and scalability.
Prototype and productionize emerging AI capabilities, including agentic workflows and generative assistants.
Apply MLOps practices for model training, deployment, monitoring, and continuous improvement.
Support secure and compliant handling of sensitive data (including PII) while aligning with Apple’s privacy standards.

Requirements

Proven ability to fine-tune, adapt, and deploy LLMs/LMMs into real-world, production-grade applications.
Strong proficiency in Python and major ML frameworks including PyTorch and TensorFlow.
Hands-on experience with Hugging Face Transformers and related libraries.
Solid understanding of Retrieval-Augmented Generation (RAG) and practical experience with LangChain or LlamaIndex.
Familiarity with distributed computing, AWS, GCP, and Azure, plus Docker and Kubernetes.
Exceptional problem-solving skills and the ability to communicate complex ML/AI concepts clearly to diverse audiences.
Experience extending LLM/LMM work to agent-based systems and agentic workflows.
Proficiency with advanced LLM serving and inference frameworks for scalable, efficient deployment.
Practical experience building sophisticated RAG applications and orchestrating LLM pipelines from inception to deployment.
Working knowledge of distributed systems and cloud-native infrastructure.
Expertise optimizing transformer-based architectures (e.g., BERT, GPT, LLaMA) for low latency, high-performance inference.
Demonstrated ability to present technical results and ML/LLM concepts with clarity and impact to technical and non-technical stakeholders.
Experience applying ML methodologies in domains such as sales.

Minimum Qualifications

MS / BS in Computer Science, Machine Learning, Artificial Intelligence, or a closely related technical field, or equivalent experience.
5+ years experience developing and deploying machine learning solutions with a focus on LLMs or LMMs.
5+ years experience with LLMs and transformer-based architectures (e.g., BERT, GPT, LLaMA).

Technologies

Python
PyTorch
TensorFlow
Hugging Face Transformers
LangChain
LlamaIndex
LLMs
LMMs
RAG
GPT
LLaMA
BERT
Transformer-based architectures
Docker
Kubernetes
AWS
GCP
Azure

Role Context

Apple’s Sales Engineering Rapid Application Development (RAD) team is hiring a Machine Learning Engineer to build intelligent, scalable solutions for Apple’s global Channel Sales.
Work spans generative AI and advanced ML technologies to deliver high-performance, production-ready systems with measurable business impact.
Collaborate with product, design, and engineering teams to design, train, deploy, and optimize ML-powered applications, including GenAI-driven workflows and RAG-based systems.

Location: Austin, TX (onsite)

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1d ago

Staff Data Engineer, Trust and Safety Tech and Data Enablement

Google Austin, TX

Austin, TX

1d ago

$186k - $269k/yr Full time Analytics Big Data Business Intelligence

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Job Description

Google Cloud Consulting Professional Services is hiring a Staff Data Engineer for the Trust and Safety Tech and Data Enablement team, supporting the Legal Content Policy and Standards (LCPS) organization. This role focuses on building foundational, AI-ready data infrastructure that unifies disparate sources into a scalable Single Source of Truth, enabling reliable data for downstream analysis and model development.

Role Focus

The Staff Data Engineer leads the design and development of complex, scalable data pipelines and drives the integration of legacy systems into a unified data foundation. The work supports secure data processing, reduces fragmentation through standardized models and exchange formats, and improves data discoverability for the broader data engineering environment.

Responsibilities

Lead consultations with cross-organizational partners to define data sources and validation standards, coordinating with engineers and data scientists on ML training requirements.
Oversee infrastructure and business solutions that scale shared frameworks, including the design of secure data processing systems while promoting best practices.
Direct the development and scaling of data models, pipelines, and exchange formats to reduce fragmentation and increase discoverability.
Leverage and deploy ML models, continuously training models over time while implementing new storage and serving systems to support scale across Data Engineering.
Manage data profiling and analysis using existing data models and custom infrastructure to clarify client requirements and enable data-driven decision-making.

Requirements

Bachelor’s degree in Computer Science, Mathematics, or related field (or equivalent practical experience).
10 years of experience writing code using specialized languages and libraries such as Python, R, and SQL for datasets.
10 years of experience with data processing software including Hadoop, Spark, Pig, and Hive, and algorithms such as MapReduce and Flume.
Experience managing client-facing projects, troubleshooting technical issues, and working with Engineering and Sales Services teams.

Preferred Qualifications

10 years of experience designing robust, scalable, and synchronized pipelines, including dimensional modeling.
Experience partnering with non-technical stakeholders to translate ambiguous business or regulatory requirements into structured technical designs.
Experience interpreting and designing data elements, structures, and relationships to deliver consistent and predictable data models, including complex ETL pipelines for synchronous and asynchronous system integration.
Experience designing, evaluating, and managing scalable data storage and processing ecosystems such as Data Lakes, Data Warehouses, and Data Mesh.

Technologies

Python, R, SQL
Hadoop, Spark, Pig, Hive
MapReduce, Flume
MySQL
Data Lakes, Data Warehouses, Data Mesh

Location and Compensation

Location: Austin, TX (onsite)
Salary Range: USD 186,000 to 269,000 per year

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4d ago

Applied AI Engineer

Apple Austin, TX

Austin, TX

4d ago

$150k - $278k/yr Full time Agentic Ai Ai Agent Ai Agent Platform

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Job Description

Build AI agent and analytics capabilities for Apple Ads (Data Insights), connecting LLMs to internal data and decision-support workflows.

Responsibilities

Design and develop scalable AI agent systems that connect LLMs with data infrastructure, APIs, and analytical tools
Improve agent orchestration capabilities, including tool calling, memory, MCPs, context retrieval, and intelligent routing
Create reusable platform components that let teams build and extend AI-powered analytical workflows
Develop evaluation frameworks and monitoring systems to increase observability, accuracy, reliability, and performance
Use machine learning and analytical methods to define and enhance online and offline metrics that improve retrieval quality, reasoning accuracy, and traceability of AI-generated insights
Deliver AI-native solutions from concept to production with a focus on scalability, latency, and maintainability
Collaborate with engineers, data scientists, and business stakeholders to convert domain expertise and analytical workflows into reusable AI capabilities

Requirements

Experience architecting and scaling production AI agent platforms, including multi-step orchestration, tool execution, memory, and context management
Experience building LLM evaluation frameworks, regression benchmarks, and observability systems to improve agent reliability and reasoning quality
Experience with advanced retrieval methods such as embeddings, and/or model fine-tuning, and/or inference optimization
Experience building natural-language-to-SQL systems, analytical agents, or AI-enabled decision-support platforms
Advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field
Bachelor’s degree in Computer Science, Engineering, Machine Learning, Data Science, or a related field, or equivalent practical experience
Experience designing, building, and deploying production software systems, with strong Python programming and software engineering fundamentals
Hands-on experience deploying LLM-powered applications using agentic workflows, tool calling, RAG, or related techniques
Experience with large-scale data platforms or distributed data systems
Strong foundation in AI, machine learning, statistics, and software engineering principles
Strong problem-solving, communication, and cross-functional collaboration skills

Technologies

Python
LLMs
MCPs
RAG
Tool calling
Embeddings
Model fine-tuning
Inference optimization
Natural-language-to-SQL

Benefits

Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses, including tuition
Opportunity to become an Apple shareholder through Apple’s discretionary employee stock programs
Discretionary restricted stock unit awards eligibility
Ability to purchase Apple stock at a discount with voluntary participation in the Employee Stock Purchase Plan
Discretionary bonuses or commission payments (as applicable)
Relocation (as applicable)

Pay

Base pay range: USD 150,400 - 277,600 per year
Base pay depends on skills, qualifications, experience, and location

Apple employees may be eligible for discretionary restricted stock unit awards and can purchase Apple stock at a discount if participating in the Employee Stock Purchase Plan. This role might be eligible for discretionary bonuses or commission payments and relocation, subject to plan eligibility requirements and other terms.

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4d ago

Sr. Security Engineer, Customer Service Identity and Access Management

Amazon.com Services LLC Austin, TX

Austin, TX

4d ago

$178k - $227k/yr Full time Senior Ai Security Application Security

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Job Description

Amazon Security builds the security capabilities that help teams maintain customer trust and deliver consistent, high-quality customer experiences. In this role, you will lead engineering and security strategy for Customer Service Identity and Access Management (CSIAM), shaping how workforce users and customers are authenticated and authorized across every customer service contact channel.

Location: Austin, TX (onsite)

Compensation: USD 178,400 - 226,700 per year

Experience: 5+ years

Responsibilities

Own the multi-year security strategy for CSIAM, setting the technical direction for authentication and authorization for hundreds of thousands of workforce users and hundreds of millions of customers across all customer service channels.
Lead the design and delivery of authentication, authorization, and account management solutions at scale, with the resilience and correctness required by one of the world’s largest customer service organizations.
Define and refine authorization models that help secure customer and agentic interactions, supporting AI agents and associates acting on a customer’s behalf without eroding trust.
Act as the senior technical leader and escalation point for the team’s most complex and ambiguous security issues, resolving them directly and in partnership with engineers across multiple service teams.
Evaluate and introduce emerging security technologies, inventing approaches that reduce security tech debt and lower risk at scale.
Communicate complex security risk and strategy to both executive and deeply technical audiences to inform business reviews and roadmap decisions.
Influence and align partner organizations, service owners, and leadership up to the VP level by negotiating security and business priorities and trade-offs, driving teams toward simple, coherent, secure designs.
Mentor and raise the bar for security engineers org-wide, strengthening technical capability and sharing knowledge across partner organizations.

Requirements

5+ years of non-internship experience troubleshooting system issues, analyzing logs, or automating complex tasks using command line tools.
5+ years of experience identifying security issues and risks and developing mitigation plans.
5+ years of non-internship experience with scripting, programming, and security code review in common programming languages.
Knowledge of at least two of: Scala, Java, Python, C/C++, or Go.
5+ years of industry experience in security vulnerabilities identification, attack patterns, and remediation techniques (non-internship).
Experience as a mentor, tech lead, or leading an engineering team.
5+ years of non-internship work across at least 5 of the following domains: application security frameworks, security code reviews, incident response, security infrastructure, penetration testing, mobile security, cloud security, AI security, or identity and access controls.
Experience applying threat modeling or other risk identification techniques or equivalent experience.
Experience with security in service-oriented architectures/microservices and web services.

Technologies

Scala, Java, Python, C/C++, Go

Benefits

Sign-on payments
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

Diverse Experiences

Amazon Security values diverse experiences. If you do not meet all qualifications listed, you are encouraged to apply.

Inclusive Team Culture

In Amazon Security, it is in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to embrace uniqueness. Addressing the toughest security challenges requires seeking out and celebrating a diversity of ideas, perspectives, and voices.

Training & Career Growth

Amazon continually raises the performance bar and invests in knowledge-sharing, training, and career-advancing resources to help you develop into a better-rounded professional.

Los Angeles County Applicants

Job duties include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully to ensure exceptional customer service; and following all federal, state, and local laws and Company policies.
Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.
Pursuant to the Los Angeles County Fair Chance Ordinance, qualified applicants with arrest and conviction records will be considered.

If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations.

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5d ago

Associate Data Engineer

CleanSlate Technology Group Austin, TX

Austin, TX

5d ago

Full time 3d Design Tools Amazon Web Services Artificial Intelligence

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Job Description

CleanSlate Technology Group (CSTG) is building data and AI capabilities through its Data and AI Practice, bringing together CSTG consultants and client stakeholders to address complex data challenges. The Associate Data Engineer role supports defined, scoped work that helps deliver production-ready data pipelines and platform components for analytics, machine learning, and AI use cases, with guidance from experienced engineers.

In this onsite position in Austin, TX, you will complete development, testing, and documentation tasks for client engagements, contributing to ingestion, transformation, orchestration, and validation activities while steadily expanding your data engineering skills.

What you’ll do

Develop and maintain assigned components of data pipelines and platforms that support analytics, machine learning, and AI workloads, following established designs and guidance.
Implement ingestion, transformation, and orchestration tasks using documented requirements and established team patterns, with team review.
Support solution design and technical discussions by asking questions, documenting decisions, and completing follow-up tasks with input from senior team members.
Write clean, maintainable, and well-documented code aligned with team standards.
Run assigned tests and data validation checks, document outcomes, and assist with deployment, monitoring, and troubleshooting of production data solutions under guidance; escalate unexpected results and issues appropriately.
Coordinate with CSTG team members and client stakeholders by sharing task updates, documenting questions and requirements, and raising blockers promptly with the delivery team.
Participate in code reviews, design discussions, and agile ceremonies; apply feedback and ask questions to strengthen understanding of team practices.
Follow engineering standards, patterns, and best practices.
Pursue ongoing learning and development in data engineering.

What you bring

Foundational hands-on experience building data pipelines, processing data, or working with data platforms through employment, internships, apprenticeships, coursework, or personal projects.
Foundational programming skills in Python, Java, or Scala, demonstrated via scripts or projects that process, transform, or move data.
Working knowledge of SQL, including filtering, joining, aggregating, and transforming data in relational tables.
Foundational understanding of data integration and pipeline concepts, with exposure to one or more technologies such as Spark, Databricks, Snowflake, Redshift, Azure Fabric, AWS Glue, or Azure Data Factory (familiarity with all is not required).
Familiarity with data modeling concepts and analytics-focused data structures.
Understanding of data quality concepts, including validation and consistency.
Foundational familiarity with AWS and/or Azure data services through hands-on projects, labs, coursework, internships, or professional experience.
Ability to collaborate effectively and communicate technical concepts clearly within a team.

Technologies

Python, Java, Scala
SQL
Spark, Databricks, Snowflake, Redshift
Azure Fabric, Azure Data Factory
AWS Glue
AWS, Azure

Preferred qualifications

AWS or Azure certifications; willingness to pursue certifications.
Databricks or Snowflake certifications; willingness to pursue certifications.
Exposure to agentic tooling such as AWS Quick, Claude Work, Claude, Copilot, or OpenClaw.
Exposure to CI/CD pipelines or infrastructure-as-code concepts through projects, coursework, or professional experience.
Exposure to NoSQL databases or distributed data systems through coursework, labs, projects, or professional experience.
Exposure to AI-powered software development tools (such as Claude Code, Cursor, Kiro, or similar).
Exposure to consulting, client-facing work, or collaborative projects involving communication of technical information.

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7d ago

Security Engineer, Device/Hardware

Motive Austin, TX

Austin, TX

7d ago

$160k - $205k/yr Full time Embedded Systems Embedded Systems Security Engineering

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Job Description

Security Engineer, Device/Hardware is a key role on Motive’s Product Security Team, serving as the primary security partner for Engineering and Hardware across the full device lifecycle.

Responsibilities

Establish the hardware and embedded security baseline and process across Motive devices, covering boot chain, firmware, FOTA, and manufacturing
Partner with hardware engineering teams to ensure security findings are prioritized, validated, and remediated
Identify and evaluate hardware security risks across the product lifecycle, including design, manufacturing, deployment, updating, and decommissioning
Lead hardware security architecture reviews, threat modeling, and security testing for product systems
Define and review security requirements for hardware platforms and embedded systems, including firmware interfaces, boot processes, debug capabilities, and device lifecycle controls for cloud-connected environments
Drive end-to-end security for device hardware spanning IoT and cloud security infrastructure

Requirements

5+ years of experience in Hardware Security, including security-by-design patterns for new devices and platforms
5+ years of experience working with product teams to create security designs and deliver security requirements
5+ years of hands-on development experience using Python and C/C++
Strong understanding of hardware root of trust, secure boot, attestation, key protection, device identity, and secure provisioning concepts
Proven hands-on experience designing, reviewing, and validating security controls for hardware and low-level system architectures
Experience with cloud security, runtime security, supply chain security, and application security best practices