Staff Machine Learning Engineer - Data Intelligence Job at Culture Amp (Melbourne)

Staff Software Engineer - Backend

As the Staff Software Engineer for our SaaS platform team, you will be crucial i...

Location

United States , Mountain View

Salary:

198000.00 - 225000.00 USD / Year

Cyngn

Expiration Date

Until further notice

Requirements

10+ years of software development experience, with a strong focus on backend systems and distributed architectures
Extensive experience in building and scaling cloud-native SaaS platforms, preferably in the IoT or robotics domains
Expert-level proficiency in at least one of Python, Go, Java, or C++, with working knowledge of others
Deep understanding of cloud technologies and services (AWS, Azure, or GCP)
Proven experience with event-driven architectures and message queuing systems (e.g., Kafka, RabbitMQ, Apache Pulsar)
Strong background in database design and optimization, including both SQL and NoSQL solutions
Proficiency in developing scalable WebSocket-based real-time communication systems
Expertise in developing real-time data processing pipelines and analytics systems
Proficiency with containerization and orchestration technologies (Docker, Kubernetes)
Experience with infrastructure-as-code and CI/CD practices (e.g., Terraform, GitOps)

Job Responsibility

Architect and lead the development of a sophisticated, cloud-native fleet management system capable of real-time control and monitoring of numerous autonomous vehicles
Design and implement scalable, distributed systems that can handle high-volume, real-time data processing and decision-making
Develop robust APIs and microservices to support integration with various autonomous vehicle platforms and customer systems
Create efficient algorithms for route optimization, task scheduling, and resource allocation across vehicle fleets
Implement advanced data analytics and machine learning capabilities to provide predictive maintenance, performance optimization, and business intelligence features
Ensure system reliability, security, and compliance with industry standards and regulations
Lead a team of skilled engineers, fostering a culture of innovation, code quality, and continuous improvement
Collaborate with product managers, UX designers, and customers to translate business requirements into technical solutions
Mentor junior developers and contribute to the technical growth of the engineering team
Participate in the entire software development lifecycle, from concept and design to testing, deployment, and maintenance

What we offer

Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
Life, Short-term, and long-term disability insurance (Cyngn funds 100% of premiums)
Company 401(k)
Commuter Benefits
Flexible vacation policy
Remote or hybrid work opportunities
Sabbatical leave opportunity after five years with the company
Paid Parental Leave
Daily lunches for in-office employees
Monthly meal and tech allowances for remote employees

Fulltime

New

Staff Software Engineer, Data Infrastructure

At Docker, we make app development easier so developers can focus on what matter...

Location

United States , Seattle

Salary:

195400.00 - 275550.00 USD / Year

Docker

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience with 3+ years focused on data engineering and analytics systems
Expert-level experience with Snowflake including advanced SQL, performance optimization, and cost management
Deep proficiency in DBT for data modeling, transformation, and testing with experience in large-scale implementations
Strong expertise with Apache Airflow for complex workflow orchestration and pipeline management
Hands-on experience with Sigma or similar modern BI platforms for self-service analytics
Extensive AWS experience including data services (S3, Redshift, EMR, Glue, Lambda, Kinesis) and infrastructure management
Proficiency in Python, SQL, and other programming languages commonly used in data engineering
Experience with infrastructure-as-code, CI/CD practices, and modern DevOps tools
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Proven track record designing and implementing large-scale distributed data systems

Job Responsibility

Define and drive the technical strategy for Docker's data platform architecture, establishing long-term vision for scalable data systems
Lead design and implementation of highly scalable data infrastructure leveraging Snowflake, AWS, Airflow, DBT, and Sigma
Architect end-to-end data pipelines supporting real-time and batch analytics across Docker's product ecosystem
Drive technical decision-making around data platform technologies, architectural patterns, and engineering best practices
Establish technical standards for data quality, testing, monitoring, and operational excellence
Design and build robust, scalable data systems that process petabytes of data and support millions of user interactions
Implement complex data transformations and modeling using DBT for analytics and business intelligence use cases
Develop and maintain sophisticated data orchestration workflows using Apache Airflow
Optimize Snowflake performance and cost efficiency while ensuring reliability and scalability
Build data APIs and services that enable self-service analytics and integration with downstream systems

What we offer

Freedom & flexibility
fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup
we want you comfortable while you work
16 weeks of paid Parental leave
Technology stipend equivalent to $100 net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity

Fulltime

Staff Machine Learning Engineer - Data Intelligence

We're building the platform that makes AI possible across Culture Amp. This is a...

Location

Australia , Sydney

Salary:

Not provided

Culture Amp

Expiration Date

Until further notice

Requirements

Strong platform engineering fundamentals, with experience building and operating services that other teams depend on
Expertise in Python and experience with ML tooling and infrastructure
Deep experience with large-scale data systems (streaming, batch processing, data lakes)
Proven experience with ML infrastructure: model serving, vector databases, embedding pipelines
Strong understanding of cloud platforms (AWS preferred) and backend architecture
Experience building and optimising RAG and retrieval systems
The communication skills to work across teams and influence technical direction beyond your own team

Job Responsibility

Designing and operating the platform services that power AI features across Culture Amp, including inference pipelines, embedding storage, and retrieval systems
Building a scalable approach to vector search across diverse categories of unstructured data (survey responses, performance feedback, company documents)
Driving MLOps and LLMOps practices across the organisation, including observability, cost management, and reliability
Ensuring AI is used responsibly: implementing guardrails, security controls, and data compliance measures
Partnering with data scientists on the team to productionise models and evaluate new AI capabilities

What we offer

Employee Share Options Program
Programs, coaching, and budgets to help you thrive personally and professionally
Access to external providers for mental wellbeing and coaching support
Monthly Camper Life Allowance
Team budgets dedicated to team building activities and connection
Intentional quarterly wellbeing pauses
Extended year-end breaks
Excellent parental leave and in work support program available from day 1
5 Social Impact Days a year
MacBooks for you to do your best & a work from home office budget

New

Senior Staff Engineer, Applied AI

GEICO is seeking a Senior Staff Engineer, Applied AI to provide technical archit...

Location

United States , Chevy Chase, MD; Palo Alto, CA

Salary:

130000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

8 or more years of professional software engineering or applied machine learning experience
2 or more years working with Generative AI or LLM-based systems in production
Proven track record of architecting and delivering complex AI/ML capabilities that span multiple teams and have measurable business impact
Deep hands-on expertise with Python and modern AI frameworks including LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, OpenAI/Anthropic APIs, and emerging agentic frameworks
Demonstrated experience building and deploying production RAG (Retrieval-Augmented Generation) systems including document ingestion, chunking strategies, vector search, and context retrieval
Demonstrated experience designing and operating production AI systems including multi-agent architectures, intelligent automation, and workflow orchestration
Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation (RAG), vector databases, knowledge graphs, and semantic reasoning
Familiarity with Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP) for building interoperable AI systems
Experience ensuring platform scalability, cross-domain coherence, and alignment with AI platform capabilities and strategy
Strong expertise in distributed systems, microservices architecture, service design, performance optimization, and reliability engineering

Job Responsibility

Specify architectures and system decompositions for AI/ML capabilities that involve significant integrations and cross-team collaboration across multiple product areas
Provide technical architecture and leadership for medium to large, complex, cross-functional AI initiatives with visibility at the tech VP level
Architect and lead implementation of advanced Generative AI solutions including agent-based systems, intelligent automation, document intelligence, and decision support systems that span multiple business domains
Design and implement sophisticated agentic workflows that orchestrate multiple AI agents, tools, APIs, reasoning steps, and business logic to automate complex enterprise processes at scale
Question status quo with an eye for simpler designs and more secure approaches, influencing tech VPs to set direction for multiple teams
Build systems and platforms that meet the highest standards for scalability, resilience, performance, availability, security, and compliance
Identify and scope opportunities for automating business processes using AI across multiple product areas and business domains
Advance the state-of-the-art in applied AI by integrating knowledge graphs, vector reasoning, retrieval architectures, and multi-agent systems to solve complex business problems
Drive innovation by exploring new models, frameworks, reasoning techniques, and AI architectures and applying them strategically to high-impact business challenges
Run rigorous experimentation programs including hypothesis definition, A/B testing, measurement frameworks, and iterative improvement across production AI systems

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

New

Staff Data Scientist - Identity Graph

We are seeking a Staff Data Scientist to lead advanced data science and R&D effo...

Location

United States

Salary:

170000.00 - 205000.00 USD / Year

Socure

Expiration Date

Until further notice

Requirements

Strong proficiency in Python and PySpark
Deep experience with: Classification models
Learning-to-Rank
Anomaly Detection
Statistical Modeling
Experience building and maintaining production-grade ML systems at scale
Hands-on experience with Databricks
Familiarity with graph databases and query languages such as NeptuneDB and OpenCypher
Experience with graph processing frameworks (e.g., GraphFrames)
Master’s or PhD in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or a related field

Job Responsibility

Lead the evaluation and continuous improvement of entity resolution and entity linking pipelines
Debug new builds, identify anomalies, and recommend modeling or system-level improvements
Define, implement, and maintain scalable performance and quality metrics, leveraging automation and LLM-based approaches where appropriate
Partner with Engineering to optimize entity linking and ranking systems using Learning-to-Rank and related techniques
Design methods to assess and classify entity confidence and quality across the graph
Design and implement a comprehensive data quality framework for graph-based identity data
Translate abstract quality concepts (e.g., reliability, stability, consistency) into measurable signals
Use data quality insights to guide modeling decisions, experimentation strategy, and product prioritization
Identify and operationalize generalized, high-impact predictive signals derived from graph structure, temporal dynamics, and relational patterns
Develop scalable approaches to link prediction, label propagation, and semi-supervised learning within the ID Graph

What we offer

Offers Equity
Offers Bonus
Benefits

Fulltime

Instructor, Applied Gen AI Specialization

As an Instructor at Simplilearn, you will play a key role in shaping the future ...

Location

United States

Salary:

50.00 USD / Hour

Fullstack Academy

Expiration Date

Until further notice

Requirements

7+ years of industry experience in Artificial Intelligence, Machine Learning, or Data Science, with hands-on expertise in building and deploying AI models
A strong understanding of core AI/ML concepts, including supervised and unsupervised learning, deep learning architectures (CNNs, RNNs, LLMs), and modern frameworks like TensorFlow, PyTorch, and Scikit-learn
Proficiency in Python and experience with data handling libraries such as NumPy, Pandas, and Matplotlib
Practical experience with Natural Language Processing (NLP) and Computer Vision, including use of pre-trained models and transfer learning techniques
Familiarity with Generative AI models such as GPT, BERT, Stable Diffusion, and techniques like Transformers, RLHF, RAG, and prompt engineering
A strong applied background in using AI for business or research applications—experience in implementing or fine-tuning generative or predictive models is highly valued
Excellent communication and presentation skills, with the ability to simplify complex AI topics for diverse learners
A genuine passion for teaching, mentoring, and staying updated with the latest advancements in AI and generative technologies

Job Responsibility

Create a positive, professional and inclusive learning environment
Teaching select lessons in accordance with learning objectives and fidelity to session plans provided by Simplilearn
Employing strategies known to meet the needs of adult learners, including leveraging tech tools, instructional best practices and connecting content to the real world by sharing industry insights and professional experiences
Managing regular communication with students to align on progress,expectations, celebrate milestones and address concern areas
Providing individualized student support during synchronous class sessions and outside class synchronously during office hours and asynchronously through timely communication
Evaluate student performance and progression toward competencies based on course deliverables and course rubrics
Providing constructive and timely feedback to students in the cohort
Assisting in the management of Performance Action Plans for individual students who need additional support
Serve as role model for students and as an ambassador for our brand
Exhibiting professionalism and an ethical and empathetic approach when engaging with Simplilearn staff, students, and the public

Parttime

Director of Artificial Intelligence

We’re looking for a Director of Artificial Intelligence to define, lead, and imp...

Location

Salary:

Not provided

OneMagnify

Expiration Date

Until further notice

Requirements

Over 10 years of experience leading AI and machine learning initiatives
Proven track record in deploying large-scale AI solutions for businesses
Experience working across data, analytics, and AI initiatives within Martech, Adtech, customer analytics, personalization, or audience intelligence environments
Preferred industry background in B2B, automotive, industrials, or B2B technology
Ability to translate complex data insights into actionable business strategies
Extensive knowledge of AI technologies, encompassing machine learning, deep learning, natural language processing (NLP), computer vision, and generative AI frameworks
Established skill in formulating and achieving AI strategies that correspond with business aims
Experience leading cross-functional teams
Proven skill in linking technical strengths to business objectives
Identifies chances for AI use in various sectors

Job Responsibility

Develops and Puts into Action AI Strategy
Establishes the organization's AI vision and roadmap
Aligns AI initiatives with business goals to foster innovation, efficiency, and measurable value
Leads AI Research and Development
Manages the creation, development, and deployment of AI models and solutions
Builds and expands AI teams
Leads, mentors, and develops cross-functional engineering teams
Offers suitable supervision and strategic mentorship at every organizational level
Partner with Human Resources to build and implement career progression pathways, performance management frameworks, and succession plans
Ensures Ethical and Responsible AI Use

What we offer

Medical
Dental
401(k)
Paid holidays
Vacations

Fulltime

Staff Platform Manager - Agent Products and Intelligence Platforms

The Agent Products and Intelligence Platforms team is looking for a Staff Platfo...

Location

United States

Salary:

194000.00 - 239000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

8+ years of product management experience OR other technical disciplines (engineering / data science / project management)
Experience building/leading/developing/working on machine learning platforms / services
Data-driven mentality with experience in launching experiments and justifying key business/product decisions based on their results
Ability to quickly absorb technical concepts and communicate them to a non-technical audience
Outcome-oriented. Not reactionary, articulates the desired outcome and works collaboratively to create a path to achieve it
Experience working with external partners in a product management or technical role
Radical thinking paired with strong execution. Can envision a world different than the status quo with the ability to articulate a clear path to get there

Job Responsibility

Manage and spearhead the development of Agent facing products as well as horizontal AI tools (for instance RAG)
Challenge the status quo and inspire people toward a unified outcome
Define goals and success with clearly measurable objectives and key results
Efficiently execute to ship products and deliver impact for our business and users
Lead cross-functional groups to deliver on the team’s mission
Communicate concisely and influence outcomes
Build alignment across product teams, cross-functional partners (FP&A, Marketing, Operations, Customer Experience, Trust, etc.) and Leadership/Executive team
Develop the platform product roadmap and build consensus on prioritization which drives product execution
Define and analyze metrics that inform product success & health
Identify and directly contribute to key metrics via the AI-automation and AI-augmentation efforts

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Staff Machine Learning Engineer - Data Intelligence

Culture Amp

Location:
Australia , Melbourne

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 17, 2026

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Job Description:

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