Staff AI/ML Engineer Job at General Motors (Austin)

Staff Software Engineer, Backend

The Staff Engineer will work closely with AI/ML engineers, product managers, app...

Location

United States , NYC

Salary:

160000.00 - 190000.00 USD / Year

Conductor

Expiration Date

Until further notice

Requirements

Completed studies in Computer Science, Mathematics, engineering or a related field or equivalent professional experience
8+ years of experience in software development, with experience in product-driven companies
Strong expertise in system design, distributed computing, and scalable architecture patterns for handling large datasets and high-throughput applications
Proficiency in multiple programming languages with strong Python coding skills. Experience with Java is highly valued
Strong database experience including both SQL and NoSQL systems, with knowledge of data modeling and optimization techniques
Experience with AI/ML technologies including LLMs, vector databases (e.g., Milvus), embeddings, and ML frameworks
Knowledge of MLOps practices, model deployment, and AI system integration in production environments
Experience working across the full software development lifecycle including CI/CD, monitoring, testing, and production deployment
Proven track record of technical leadership, mentoring engineers, and driving engineering excellence within teams
Up-to-date with rapidly-evolving technologies and demonstrated ability to evaluate and adopt new tools and frameworks

Job Responsibility

Lead the technical architecture, design, and implementation of large-scale distributed systems and data platforms to support customer needs and business growth
Oversee the planning, execution, and successful delivery of complex engineering projects, ensuring adherence to engineering best practices and quality standards
Design and build scalable, high-performance backend systems and APIs that handle millions of requests and large datasets efficiently
Architect robust data processing pipelines and ETL workflows using modern cloud technologies and distributed computing frameworks
Drive technical decision-making across the engineering organization, evaluating trade-offs and establishing engineering standards and practices
Lead cross-functional collaboration with product, AI/ML engineering, data engineering, and infrastructure teams to deliver comprehensive solutions
Build and maintain CI/CD pipelines, monitoring systems, and deployment automation to ensure reliable software delivery
Implement AI/ML capabilities including LLM integration, vector databases, and intelligent content processing workflows
Mentor senior and junior engineers, fostering technical excellence and knowledge sharing within the engineering organization

What we offer

100% covered employee medical plan
a dental & vision plans
401(k) with employer contribution
an unlimited vacation policy
10 sick days
short-term disability
long-term disability
generous paid parental leave
employee assistance program
flexible savings accounts

Fulltime

Staff Product Security Engineer

We’re looking for a Staff Product Security Engineer to lead the design and imple...

Location

United States

Salary:

184000.00 - 252000.00 USD / Year

AlphaSense

Expiration Date

Until further notice

Requirements

7+ years of experience in product, application, or cloud security engineering
Deep understanding of secure SDLC, threat modeling, and secure architecture design
Proven expertise with AWS cloud security concepts and best practices
Strong experience with container security, orchestration, and runtime protection
Proficiency in Python, Java, and/or JavaScript for security automation, code review, and tooling
Experience securing AI/ML pipelines, data workflows, or model-serving infrastructure
Familiarity with DevSecOps and continuous integration/deployment environments

Job Responsibility

Embed robust security practices throughout the software and AI development lifecycle (SDLC)
Lead secure design reviews, threat modeling, and risk assessments for AI-driven products, APIs, and backend services
Partner with engineering and product teams to ensure security, privacy, and compliance by design
Build and maintain security automation and governance frameworks that integrate seamlessly into development workflows
Architect and enforce security controls for AI/ML systems, including model training, data pipelines, and inference environments
Identify and mitigate AI-specific attack vectors such as data poisoning, model inversion, prompt injection, and model theft
Collaborate with governance and compliance teams to align with ethical AI principles and frameworks like NIST AI RMF and the EU AI Act
Implement model provenance, integrity, and auditability controls to ensure responsible and secure AI operations
Partner with DevOps and SRE teams to secure service meshes, container networking, and secrets management
Drive software supply chain security, including artifact integrity, dependency management, and vulnerability reduction

What we offer

Competitive compensation, benefits, and career growth opportunities
Opportunity to shape and drive product security strategy
Collaborative and security-minded engineering culture
Work on cutting-edge security challenges in a fast-growing company
Performance-based bonus, equity, and a generous benefits program

Fulltime

Staff Data Engineer

A VC-backed retail AI scale-up is expanding its engineering team and is looking ...

Location

United States

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

5+ years in software development and data engineering with ownership of production-grade systems
Proven expertise in Spark (Databricks, EMR, or similar) and scaling it in production
Strong knowledge of distributed computing and modern data modeling approaches
Solid programming skills in Python, with an emphasis on clean, maintainable code
Hands-on experience with SQL and NoSQL databases (e.g., PostgreSQL, DynamoDB, Cassandra)
Excellent communicator who can influence and partner across teams

Job Responsibility

Design and evolve distributed, cloud-based data infrastructure that supports both real-time and batch processing at scale
Build high-performance data pipelines that power analytics, AI/ML workloads, and integrations with third-party platforms
Champion data reliability, quality, and observability, introducing automation and monitoring across pipelines
Collaborate closely with engineering, product, and AI teams to deliver data solutions for business-critical initiatives

What we offer

Fully remote
great equity

Staff Data Engineer

A VC-backed retail AI scale-up is expanding its engineering team and is looking ...

Location

United States

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

5+ years in software development and data engineering with ownership of production-grade systems
Proven expertise in Spark (Databricks, EMR, or similar) and scaling it in production
Strong knowledge of distributed computing and modern data modeling approaches
Solid programming skills in Python, with an emphasis on clean, maintainable code
Hands-on experience with SQL and NoSQL databases (e.g., PostgreSQL, DynamoDB, Cassandra)
Excellent communicator who can influence and partner across teams

Job Responsibility

Design and evolve distributed, cloud-based data infrastructure that supports both real-time and batch processing at scale
Build high-performance data pipelines that power analytics, AI/ML workloads, and integrations with third-party platforms
Champion data reliability, quality, and observability, introducing automation and monitoring across pipelines
Collaborate closely with engineering, product, and AI teams to deliver data solutions for business-critical initiatives

What we offer

Fully remote
great equity

Staff Applied AI Engineer

A rapidly growing venture-backed startup is on a mission to transform how people...

Location

United States

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

STEM degree from a top school (bonus points for Masters or PhD)
5+ years of hands-on experience applying AI/ML techniques to real-world, user-facing products
Strong software engineering background with a track record of shipping at scale
Experience tuning and deploying LLMs
Comfortable moving quickly, testing new approaches, and balancing experimentation with reliability

Job Responsibility

Build and refine AI-driven product features that feel intuitive and responsive
Apply data from real users to personalise interactions and improve predictive performance
Experiment with model fine-tuning, retrieval methods, and feedback loops to maximise accuracy
Develop specialised AI-powered workflows that simplify complex technical tasks
Collaborate with engineers and product leaders to ship enhancements rapidly and iteratively

What we offer

meaningful equity on offer

Fulltime

Staff Security Engineer

At hyperexponential, we’re building the AI-powered platform that enables the wor...

Location

Poland , Warsaw

Salary:

Not provided

hyperexponential

Expiration Date

Until further notice

Requirements

Built or significantly contributed to security programmes from the ground up
Designed and implemented security architecture for cloud-based distributed systems (AWS or equivalent)
Driven technical security improvements by writing code, building tools, and implementing controls
Integrated security into development workflows through DevSecOps practices
Led or supported compliance initiatives (SOC2, ISO27001, GDPR, or similar)
Evaluated security implications of AI/ML systems

Job Responsibility

Build hx's security programme from the ground up
Design and implement security controls across AWS cloud infrastructure, Kubernetes workloads, and our multi-product platform
Integrate security into engineering workflows by embedding automated security testing, vulnerability management, and threat detection into CI/CD pipelines
Lead or contribute to compliance initiatives (SOC2, ISO27001)
Build security automation and tooling by writing code and scripts
Partner with Engineering Managers, Principal Engineers, and Product Managers to embed security thinking early in design and architecture decisions

What we offer

Share Options
25 days of non-working + 14 Polish bank holidays (B2B) / 26 days of holiday + 14 Polish bank holidays (UoP)
£5,000 budget for Learning & Development
Mental Health Support and Therapy via Spectrum Life
Optional access to Healthcare package provided by Luxmed + Multisport (B2B)
Top-spec laptop (MacOS or Windows)
Company pension (UoP)
10 days company sick pay at 100% salary (UoP)
Monthly wellbeing allowance via Juno (UoP)
Healthcare package provided by Luxmed (UoP)

Fulltime

Staff Security Engineer

At hyperexponential, we’re building the AI-powered platform that enables the wor...

Location

United Kingdom , London

Salary:

Not provided

hyperexponential

Expiration Date

Until further notice

Requirements

Built or significantly contributed to security programmes from the ground up, establishing foundational security controls, compliance readiness, and incident response capabilities
Designed and implemented security architecture for cloud-based distributed systems (AWS or equivalent), including multi-account strategies, identity and access management, network security, and data protection
Driven technical security improvements by writing code, building tools, and implementing controls that scaled with company growth
Integrated security into development workflows through DevSecOps practices including automated testing, secrets management, container security, and infrastructure-as-code security
Led or supported compliance initiatives (SOC2, ISO27001, GDPR, or similar), mapping technical controls to compliance requirements and guiding teams through audit cycles
Built trust with engineering teams by contributing technically and making security collaborative and frictionless
Balanced security rigor with business goals, making risk-based trade-offs that enabled growth while protecting customers and the business
Evaluated security implications of AI/ML systems, including understanding AI-specific risks and implementing controls to secure them

Job Responsibility

Build hx's security programme from the ground up, setting direction for security architecture, compliance, and incident response as we scale globally
Design and implement security controls across AWS cloud infrastructure, Kubernetes workloads, and our multi-product platform, ensuring systems are secure by design
Integrate security into engineering workflows by embedding automated security testing, vulnerability management, and threat detection into CI/CD pipelines without slowing teams down
Lead or contribute to compliance initiatives (SOC2, ISO27001) by implementing technical controls and working cross-functionally with legal, engineering, and business teams to enable enterprise sales
Build security automation and tooling by writing code and scripts that scale security practices, detect vulnerabilities, and enforce policies efficiently
Partner with Engineering Managers, Principal Engineers, and Product Managers to embed security thinking early in design and architecture decisions
Act as a trusted voice in critical moments: responding to incidents, unblocking teams on security questions, and keeping high-stakes initiatives secure and on track
Assess and secure AI-powered systems across hx's platform, implementing controls that enable safe adoption of AI while mitigating risks like prompt injection, data leakage, and model vulnerabilities

What we offer

£5,000 training and conference budget for individual and group development
25 days of holiday plus 8 bank holidays (33 days total)
Company pension scheme via Penfold
Mental health support and therapy via Spectrum.life
Individual wellbeing allowance via Juno
Private healthcare insurance through AXA
Income protection and Life Insurance
Cycle to Work Scheme
Top-spec equipment (laptop, screens, adjustable desks, etc.)
Regular remote and in-person hackathons, lunch and learns, socials, and game nights

Fulltime

Staff Machine Learning Engineer

Join PagerDuty as a Staff Machine Learning Engineer to tackle complex problems, ...

Location

Canada , Toronto

Salary:

156000.00 - 232000.00 CAD / Year

PagerDuty

Expiration Date

Until further notice

Requirements

8+ years of experience building, designing, and evolving data architecture for large-scale systems
Excellent communication skills
Experience working with Product teams, ensuring and driving a timely delivery
Have a deep understanding of the trade-offs to be considered when designing and delivering machine learning solutions to production
Experience leading cross-team architecture discussions, building technical prototypes, and driving the adoption of best practices across diverse teams
Demonstrated experience with data engineering processes, working with unstructured data and cloud-based data infrastructures
Passionate about ML engineering and interested in driving discussions with stakeholders and executives

Job Responsibility

Build and improve the capabilities of the data platform that enable and accelerate the production of ML/AI-based solutions
Drive and define standards for AI/ML across the organization
Provide guidance, technical leadership, and mentoring to other members of the team
Mentor junior members and participate in scaling up the existing team
Proactively recommend improvements and new approaches addressing potential systemic pain points and technical debt
Anticipate technical demands on the data platform based on the organization’s roadmap and systematically drive the evolution of the architecture toward those ends
Develop a long-term plan for ML/AI investments

What we offer

Competitive salary
Comprehensive benefits package from day one
Flexible work arrangements
Company equity
ESPP (Employee Stock Purchase Program)
Retirement or pension plan
Generous paid vacation time
Paid holidays and sick leave
Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO
Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent

Fulltime

Staff AI/ML Engineer

General Motors

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
April 23, 2026

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Job Description:

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Job Posted:
April 23, 2026