Lead AI Safety and Enablement Engineer Job at Exact Sciences (Madison)

Research Engineer AI

The role involves conducting high-quality research in AI and HPC, shaping future...

Location

United Kingdom , Bristol

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

A good working knowledge of AI/ML frameworks, at least TensorFlow and PyTorch, as well as the data preparation, handling, and lineage control, as well as model deployment, in particular in a distributed environment
At least a B.Sc. equivalent in a Science, Technology, Engineering or Mathematical discipline
Development experience in compiled languages such as C, C++ or Fortran and experience with interpreted environments such as Python
Parallel programming experience, with relevant programming models such as OpenMP, MPI, CUDA, OpenACC, HIP, PGAS languages is highly desirable

Job Responsibility

Perform world-class research while also shaping products of the future
Enable high performance AI software stacks on supercomputers
Provide new environments/abstractions to support application developers to build, deploy, and run AI applications taking advantage of leading-edge hardware at scale
Manage modern data-intensive AI training and inference workloads
Port and optimize workloads of key research centers like the AI safety institute
Support onboarding and scaling of domain-specific applications
Foster collaboration with the UK and European research community

What we offer

Health & Wellbeing benefits that support physical, financial and emotional wellbeing
Career development programs catered to achieving career goals
Unconditional inclusion in the workplace
Flexibility to manage work and personal needs

Fulltime

Engineering Manager, Evidence Local

At Axon, our mission is to protect life and preserve truth. As an Engineering Ma...

Location

Vietnam , Ho Chi Minh City

Salary:

Not provided

Axon

Expiration Date

Until further notice

Requirements

6+ years of professional software engineering experience (ideally in product-focused environments)
3+ years as an engineering manager/lead, including direct people management and development
Demonstrated experience in architectural design and distributed systems, paired with a deep focus on resiliency engineering, operational excellence, and architectural vision
Proven success leading teams to deliver complex, ambiguous projects on time and to spec
Demonstrated ability to improve engineering processes across security, quality, releases, and incident management
Excellent communication and collaboration skills
comfortable working with global teams

Job Responsibility

Build and lead a high-performance engineering team in Ho Chi Minh City, developing talent, mentoring future leaders, and creating an environment where AI-enabled engineering excellence thrives
Drive end-to-end technical execution for major product initiatives, roadmap-defining features, and contract-critical capabilities - from large-scale deployments and advanced security to device interoperability and cloud/on-prem hybrid operational workflows
Drive the scalability, resilience, and reliability of a mission-critical platform, ensuring it performs flawlessly from small single-server agencies to complex, multi-node, large-scale environments supporting thousands of devices and real time capabilities
Collaborate deeply across Axon’s global engineering organization, advocating for the needs of AEL, influencing cross-team architecture, and driving alignment on shared outcomes
Partner with product and global cross-functional stakeholders to define the roadmap, priorities, and key customer requirements, balancing feature development with operational excellence
Oversee operational and on-call processes, own production health, escalations, incident response, and post-incident reviews
Champion a deep understanding of customer workflows, pain points, and operational environments, ensuring engineering decisions are grounded in real-world use cases

What we offer

Medical and Dental Insurance and cover your family up to 3 members
Vision Insurance
Robust Paid Time Off policy
Bonuses
Lunch allowance
Cell phone stipend
Free LinkedIn Learning/Udemy account
Access to 24/7 online emotional and mental support
Gym membership
Free parking

Fulltime

Senior Principal Machine Learning Engineer

You’ll form a new team of passionate engineers dedicated to building and scaling...

Location

United States

Salary:

222300.00 - 348975.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Mathematics, or a related field, or equivalent practical experience
12+ years of industry experience in machine learning, data science, or AI, with a proven track record of delivering production-grade ML systems
Deep expertise in Python, Go, or Java, with the ability to write performant, production-quality code
familiarity with SQL, Spark, and cloud data environments (e.g., AWS, GCP, Databricks)
Experience building and scaling ML models for business-critical applications, ideally in security, privacy, anti-abuse, or compliance domains
Strong communication skills, able to explain complex ML concepts to diverse audiences and influence stakeholders
Demonstrated ability to solve ambiguous, complex problems and drive projects from ideation to production
Agile development mindset, with a focus on iterative improvement and business impact

Job Responsibility

Lead AI/ML Strategy for Trust: Drive the development and implementation of advanced machine learning algorithms and AI systems for Trust, Security, Product Abuse, and Compliance use cases (e.g., threat detection, vulnerability management, privacy automation, AI safety)
Architect and Scale ML Platforms: Design and build scalable, secure, and reliable ML infrastructure and pipelines, ensuring compliance with privacy and regulatory requirements
AI Safety and Responsible AI: Develop and champion AI safety practices, including output moderation, explainability, and alignment with evolving regulatory frameworks
Cross-Functional Collaboration: Partner with product, engineering, security, privacy, and analytics teams to deliver transformative AI/ML solutions that enhance Atlassian’s trust posture
Mentorship and Leadership: Mentor and guide ML engineers and data scientists, fostering a culture of technical excellence, innovation, and continuous improvement
Innovation and Research: Stay at the forefront of AI/ML research, evaluating and applying the latest techniques (e.g., LLMs, anomaly detection, privacy-preserving ML) to real-world Trust challenges
Platform Enablement: Build reusable ML services and APIs that empower other teams to integrate AI/ML into their products and workflows
Operational Excellence: Ensure high availability, reliability, and security of all ML-powered Trust platforms and services

What we offer

health and wellbeing resources
paid volunteer days
benefits, bonuses, commissions, and equity

Fulltime

Staff Operations AI Engineer

We're looking for a Staff Operations AI Engineer who will architect, build, and ...

Location

United States , Denver

Salary:

150000.00 - 176000.00 USD / Year

Checkr

Expiration Date

Until further notice

Requirements

7+ years in systems engineering, automation platforms, integration architecture, or AI-enabled operations
Deep expertise in API design, OAuth/token-based authentication, webhooks, and event-driven systems
Proven experience building reliable automation workflows with observability, retries, and failure handling
Strong JavaScript and/or Python expertise for backend logic, scripting, and internal tooling
Solid SQL experience for data transformation, validation, and operational analytics (Snowflake a plus)
Advanced comfort with JSON, schemas, and data normalization for LLM and automation use cases
Hands-on experience running LLM-powered agents or automations in production, including guardrails and output validation
Formal experience in prompt engineering frameworks
Familiarity with integrating with CRM and support systems (e.g., Salesforce, Zendesk)
Track record designing end-to-end integration architectures across multiple platforms

Job Responsibility

Design and own the integration architecture that enables AI Agents to operate safely and reliably across Checkr systems and third-party platforms
Build production-grade API integrations with secure authentication flows, webhook and event-driven patterns, and robust automation workflows that coordinate actions across tools like Zendesk, Salesforce, and internal services
Ensure AI-driven operations are resilient through strong error handling, retries, observability, and fallback mechanisms
Proactively identify integration gaps, system bottlenecks, and failure modes, and lead the technical solutions that improve reliability and scale
Build and maintain the technical foundations that power AI-driven workflows, including structured data pipelines, normalized schemas, and predictable JSON inputs for LLMs
Write high-quality JavaScript and SQL to support automation logic, internal tooling, and operational insights
Establish engineering standards for workflow design, code quality, and system observability
Communicate architecture clearly through documentation and diagrams, and serve as a technical authority across teams to ensure consistent, high-quality execution
Implement guardrails, validation rules, and safety checks that ensure AI Agents act responsibly and accurately in production
Evaluate model output quality and continuously refine prompts, transformations, and logic to improve consistency, reliability, and trust in AI-driven decisions

What we offer

A fast-paced and collaborative environment
Learning and development allowance
Competitive cash and equity compensation, and opportunity for advancement
100% medical, dental, and vision coverage
Up to $25K reimbursement for fertility, adoption, and parental planning services
Flexible PTO policy
Monthly wellness stipend
In-office perks are provided, such as lunch five times a week, a commuter stipend, and an abundance of snacks and beverages
A relocation stipend may be available for those willing to relocate to a Checkr hub location

Fulltime

Machine Learning Team Lead

As a (Senior) Machine Learning Team Lead at Aignostics’, you lead a team of (sen...

Location

Germany , Berlin

Salary:

Not provided

Aignostics

Expiration Date

Until further notice

Requirements

Passion for growing and developing team members
Excellent communication and team working skills
PhD in relevant field (e.g. Machine Learning, Computer Science, or Bioinformatics) or comparable scientific industry experience
At least 5+ years of professional experience, with at least 2+ years of leadership experience in a research or development context
Eagerness to lead initiatives, learn new technologies, and excel in a complex space
Solid theoretical foundations and deep understanding of machine learning
Understanding of software development, cloud computing and machine learning software stacks
Highest standard for quality assurance, ensuring scientific and operational excellence
Value flat rather than steep hierarchies in a thriving environment of like-minded people

Job Responsibility

Lead a team of (senior) machine learning research scientists
Coordinate interdisciplinary stakeholders, align and facilitate collaboration with other teams
Orchestrate the team internally, enabling team members to innovate, deliver, and grow
Provide guidance, reviews, and share knowledge to empower the team
Translate company objectives into team goals and milestones
Report progress to diverse stakeholders
Take ownership of your team and its output, shaping its spirit and contributing to Aignostics culture
Promote the growth and development of your individual team members
Take responsibility for the motivation and happiness of your team members and provide psychological safety
Coach your team through difficult problems, facilitating team members to find solutions, learn, and grow

What we offer

Competitive remuneration package in addition to perks and benefits
Learning & Development yearly budget of 1,000€ (plus 2 L&D days)
Language classes and internal development programs
Mentoring program
Flexible working hours and teleworking policy
30 paid vacation days per year
Family & pet friendly and support flexible parental leave options
Subsidized membership of your choice among public transport, sports, and well-being
Social gatherings, lunches, and off-site events for a fun and inclusive work environment
Optional company pension scheme

Senior Software Engineer (AI Applications)

Cambium Assessment Inc is seeking a Senior Software Engineer to develop AI appli...

Location

United States of America

Salary:

120000.00 - 180000.00 USD / Year

EdTech Jobs

Expiration Date

Until further notice

Requirements

5+ years in software engineering, including 2+ years in a Senior/Staff-level capacity leading significant technical initiatives
Proven, hands-on experience building complex agentic systems, including proficiency with tool calling, advanced prompt optimization, and comprehensive context engineering
Deep, practical experience integrating with LLMs, coupled with strong skills in prompt engineering and Retrieval-Augmented Generation (RAG) pipelines
Strong expertise in at least two of the following programming languages: Python, JavaScript/TypeScript, or C#
Experience deploying and managing systems on at least one of the major cloud platforms (AWS, GCP, or Azure), utilizing containerization and implementing robust observability tooling
Proven experience building and deploying robust, high-throughput full stack solutions including backend services/APIs that integrate with AI models and orchestrate complex workflows
Familiarity with vector databases and embedding models
Demonstrated experience designing secure systems capable of safely handling untrusted code execution or complex user-generated content
Excellent communication, collaboration skills, and the ability to autonomously drive technical initiatives from initial prototype through to high-scale production

Job Responsibility

Design, build, and deploy robust Generative AI agents featuring advanced capabilities like persistent memory, shared state management, and complex multi-step reasoning workflows specifically tailored for real-world educational applications
Drive the development of cutting-edge, AI-enabled web based educational software systems that redefine user interaction and learning outcomes
Seamlessly incorporate Generative AI features into existing platforms, focusing on optimizing performance, ensuring a seamless UX, and maintaining strict safety compliance
Expertly leverage Large Language Models (LLMs) and multimodal models to deliver highly intelligent, context-aware user experiences
Establish and maintain frameworks for comprehensive agent evaluation, including rigorous testing, critical safety assessments, and detailed performance monitoring
Partner closely with other teams to translate complex user needs and learning workflows into scalable, production-ready agentic capabilities
Act as a subject matter expert, guiding engineers on advanced agent design patterns, optimal LLM integration strategies, and best practices for building secure, autonomous systems
Contribute to a mission-driven environment focused on innovation, measurable impact, and the ethical, responsible development and deployment of AI enabled products

What we offer

Remote First Work Environment
Reimbursement to help cover the cost of setting up your home or remote office

Fulltime

Lead Platform Engineer

To design, develop and improve software, utilising various engineering methodolo...

Location

United Kingdom , London

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Hands-On Technical Leadership: Deliver core platform components (Python services, orchestration, GPU clusters, inference gateways, model registries)
Technical Strategy & Direction: Define and evolve the technical roadmap for AI enablement—covering generative AI, LLMOps, model serving, and data pipelines
Platform at Scale: Apply experience running large-scale distributed platforms with high reliability, cost efficiency, and security
Gen AI Expertise: Understand unique challenges in Generative AI (e.g., latency, cost, safety, evaluation, fine-tuning) and design solutions accordingly
Plugged into AI Developments: Stay current with emerging AI trends, foundation models, open-source tooling, and best practices
bring insights into platform evolution
Governance & Risk Management: Embed secure-by-design principles, compliance controls, and auditability into platform architecture
Ensure adherence to data privacy, model governance, and AI safety standards
Partner with Risk, Compliance, and Cyber teams to mitigate operational and regulatory risks
Build High-Quality Systems: Write clean, maintainable code

Job Responsibility

Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance
Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives
Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing
Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth
Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions
Implementation of effective unit testing practices to ensure proper code design, readability, and reliability
Provide expert advice to senior functional management and committees to influence decisions made outside of own function, offering significant input to function wide strategic initiatives
Manage, coordinate and enable resourcing, budgeting and policy creation for a significant sub-function
Escalates breaches of policies / procedure appropriately
Foster and guide compliance, ensure regulations are observed that relevant processes in place to facilitate adherence

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution
Supporting active commuters
Time to connect
Wellbeing in focus
Advanced trading floors
Hybrid working

Fulltime

Data & AI Architect Principal

The Data and AI Architect Principal is central to BT International's ability to ...

Location

Hungary , Budapest

Salary:

Not provided

Plusnet

Expiration Date

Until further notice

Requirements

Strategic Architecture Leadership – Proven ability to define data and AI platform vision with track record driving large-scale data transformation programs
Data Platform Architecture – Deep expertise in modern data platform design including data lakes, data warehouses, streaming architectures and data mesh patterns
AI/ML Architecture – Strong understanding of machine learning systems including feature engineering, model training, serving, monitoring and MLOps platforms
Agentic AI – Emerging expertise in agentic AI systems including LLM-based agents, tool use and reasoning frameworks for autonomous task execution
Technical Depth – Hands-on background with coding capability in data languages (Python, SQL, Spark), enabling credibility with engineering teams and participation in data work
Data Engineering Patterns – Strong understanding of ETL/ELT patterns, data quality frameworks, schema evolution and data lineage tracking
Cloud-Native Data – Experience with cloud data services and platforms across multi-vendor environments including data warehouses, data lakes and ML platforms
Platform Engineering Mindset – Ability to treat data and AI capabilities as platform products with clear service contracts and developer experience focus

Job Responsibility

Define and lead data and AI platform architecture strategy, establishing patterns that balance functional requirements with non-functional requirements including scalability, data quality, privacy and cost optimization
Work hand in hand with product engineering squads to establish data generation patterns, working directly with engineers to build data-informed products and AI capabilities
Drive architectural strategy for making data available across the organization through self-service data products, APIs and governed data access patterns
Lead the technical vision for AI capabilities distinguishing between machine learning for pattern recognition and agentic AI for autonomous task execution, establishing platform foundations for both
Champion data mesh principles where appropriate, enabling domain teams to own their data as products while maintaining consistency through federated governance
Establish MLOps practices and platforms that enable product teams to train, deploy and monitor machine learning models with the same velocity as application code
Collaborate with IT Systems and NaaS architects to ensure telemetry, network data and business systems generate high-quality data with proper lineage and governance
Work across multi-vendor environments including cloud data platforms, on-premise data systems and SaaS analytics tools to establish cohesive data architecture
Drive architectural governance for data and AI work ensuring solutions follow platform patterns for data quality, model governance and AI safety
Provide technical thought leadership on emerging data and AI technologies, evaluating applicability and translating possibilities into roadmaps aligned with BT International's platform strategy

What we offer

Cafeteria package - HUF 600,000/ year
Performance-based bonus
Comprehensive private health care package for all the employees, which can be extended to family members
Nursery support for mothers returning from maternity
Extended paternity leave: 10+10 day fully paid days
Commuting allowance
Home office allowance
Employee discount opportunities
Highly affordable mobile packages for the family as well
New high-class offices both in Budapest and Debrecen

Fulltime

Lead AI Safety and Enablement Engineer

Exact Sciences

Location:
United States , Madison

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 24, 2026

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