Research Intern - GenAI Job at Appen (Chatswood, Sydney)

Senior Machine Learning Scientist (Generative AI)

About Viator: Viator, a Tripadvisor company, is the leading marketplace for trav...

Location

United Kingdom; Poland

Salary:

Not provided

Tripadvisor

Expiration Date

Until further notice

Requirements

5+ years of hands-on data science experience
At least 2 years of experience with LLM
Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring
In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries
Strong skills in SQL
Strong skills in at least one programming language
Comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments
Experience in deploying online solutions and analysing real-time results through A/B testing
Passionate about mentoring junior members of the team
Leadership qualities, autonomy, and team collaboration skills

Job Responsibility

Research, prototype, and productionize generative AI models
Develop scalable GenAI pipelines that generate high-quality content, from product descriptions, reviews, titles, and other product content
Design and evaluate prompt tuning strategies and RAG systems to ensure factual and engaging outputs
Fine-tune foundation models and develop domain-specific adapters using techniques like LoRA, PEFT, and instruction tuning
Define best practices for model monitoring, including output quality, hallucination detection, and user feedback loops
Understanding use cases for Agentic AI communicating your findings with the wider ML team and product
Utilize RLHF methodologies to build feedback mechanisms that directly shape the behavior and quality of our generative AI outputs
Collaborate cross-functionally with product, design, and engineering to integrate models into user-facing applications
Stay up to date with the latest in GenAI research and help shape internal best practices
Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency

What we offer

Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus
“Work your way” with flexibility to suit your lifestyle
Flexible schedule
Donation matching
Tuition assistance
Lifestyle benefit (annual benefit to spend on yourself)
Travel perks
Employee assistance program
Health benefits

Research Intern - Foundations of GenAI

Research Internships at Microsoft provide a dynamic environment for research car...

Location

United States , New York

Salary:

5610.00 - 11010.00 USD / Month

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Currently enrolled in a master’s or PhD program in Computer Science or a related STEM field
Demonstrable ability to define an ambitious, original research agenda
Experience publishing academic papers as a lead author or essential contributor in the field of Artificial Intelligence
Experience participating in a top conference in relevant research domain
Ability to collaborate, communicate effectively, and work as part of a multi-disciplinary team
Keen interest in real-world applications and impact
Experience in Machine Learning, Computer Vision and related fields
Research demonstrated by publications at the following conferences: NeurIPS, ICML, ICLR, ACL, NAACL, CVPR, COLT, ECCV, ICCV, EMNLP

Job Responsibility

Perform cutting-edge research in collaboration with other researchers, engineers, and product groups
Be a part of research breakthroughs in the field and will be given an opportunity to realize your ideas in products and services used worldwide
Embody our culture and values

Fulltime

Machine Learning Research Engineer, Agents - Enterprise GenAI

The Enterprise ML Research Lab works on the front lines of this AI revolution. W...

Location

United States , San Francisco; New York

Salary:

218400.00 - 273000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

1-3 years of building with LLMs in a production environment
Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc.
Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years
PhD or Masters in Computer Science or a related field

Job Responsibility

Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers
Research cutting edge algorithms to integrate directly into our training stack
Build agents that leverage our proprietary agent-building algorithms to automatically hill climb datasets – including defining highly performant tools, multi-agent systems, and complex rewards

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO

Fulltime

Staff Machine Learning Research Engineer, Agent Post-training - Enterprise GenAI

Build out our next-gen Agent RL training platform; build out the platform that w...

Location

United States , San Francisco; New York

Salary:

218400.00 - 273000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

5+ years of LLM training in a production environment
Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc.
Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years
PhD or Masters in Computer Science or a related field

Job Responsibility

Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers
Research cutting edge algorithms to integrate directly into our training stack
Design solutions that enable complex multi-agent systems to directly learn from both process + outcome based rewards

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
commuter stipend
equity based compensation

Fulltime

Machine Learning Research Engineer, Agent Data Foundation - Enterprise GenAI

Join the team shaping the future of AI at Scale. The Enterprise ML Research Lab ...

Location

United States , San Francisco; New York

Salary:

218400.00 - 273000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

3+ years of building with LLMs in a production environment
Clear experiences with constructing high quality data to use to improve an LLM/Agent
Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years
PhD or Masters in Computer Science or a related field

Job Responsibility

Build synthetic data pipelines to generate enterprise environments to use for RL post-training
Create agents to convert traces from production into actionable insights to use to improve agents
Contribute to our agent building product which can construct other agents using coding agents + proprietary algorithms
Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
commuter stipend

Fulltime

Director, Applied AI Engineering- Enterprise

Join the team shaping the future of AI at Scale. The Applied AI team works on th...

Location

United States , San Francisco; New York

Salary:

285200.00 - 356500.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

8+ years of experience building, deploying, and scaling ML systems in production, including Enterprise-grade Gen AI and agentic applications
6+ years of people leadership experience, including managing managers and leading multi-team organizations delivering customer-facing AI products
Deep applied expertise in Gen AI, including LLM-based systems, agent orchestration, evaluation and reliability frameworks, and production system design
Experience owning end-to-end AI product delivery—from problem definition and technical architecture to deployment, iteration, and scaling
Strong technical judgment across software engineering, system design, and applied ML fundamentals
Exceptional communication and stakeholder management skills, with the ability to influence executives, customers, and cross-functional partners
Bachelor’s degree required
Master’s or PhD in Computer Science or a related field strongly preferred

Job Responsibility

Drive enterprise impact with GenAI: Partner directly with customers to identify high-leverage opportunities for generative AI, design solutions, and deliver production systems that create clear business value
Lead and scale a GenAI-native Applied AI organization: Build, mentor, and manage multiple teams of Applied AI Engineers and ML Engineers who are native to modern GenAI technologies, agentic systems, and multimodal models
Set technical and strategic direction: Define best practices for agent development, evaluation, deployment, and iteration across customer engagements and internal product efforts
Bridge frontier research to real-world applications: Translate advances in LLMs, multimodal models, and agentic workflows into practical, scalable solutions across industries
Discover model limitations and inspire innovation: Identify failure modes, inefficiencies, and gaps in current models
use these insights to influence internal research, product roadmaps, and customer strategy
Partner cross-functionally: Work closely with Product, Research, Sales, and Leadership to shape Applied AI offerings, prioritize investments, and guide long-term platform evolution
Influence the broader AI ecosystem: Represent Scale’s Applied AI capabilities with customers and partners, and help position Scale as a trusted leader in enterprise GenAI deployment

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
equity based compensation
commuter stipend

Fulltime

Research Scientist Intern, Computer Vision - Video Intelligence

The Video Intelligence team is seeking highly motivated Research Interns to join...

Location

United States , Menlo Park

Salary:

7650.00 - 12134.00 USD / Month

Technical Advisor Intern - GenAI

The Scale AI Technical Advisor Internship is a summer semester opportunity desig...

Location

United States , San Francisco

Salary:

50.00 USD / Hour

Scale

Expiration Date

Until further notice

Requirements

Enrolled students in computer science, mathematics, engineering, or a related STEM field
Demonstrated coding proficiency, strong analytical abilities, or experience with competitive math or programming competitions
Curious, self-motivated, and eager to learn, contribute, and collaborate with like-minded peers and industry experts

Job Responsibility

Contribute to Cutting-Edge AI Projects: Work on initiatives aimed at advancing AI capabilities—such as training models for complex reasoning tasks or identifying model failure modes
Join Focus Groups: Participate in bi-weekly sessions where you’ll exchange insights, discuss evolving AI techniques, and learn from experienced researchers
Engage in Team-Based Projects: Collaborate with small groups of interns on creative challenges—ranging from drafting blog-style content to conceptualizing innovative AI solutions
Work Independently & Flexibly: Set your own working hours, ensuring you can prioritize your academic life while still making meaningful progress

What we offer

Real-World Impact: Your work will have tangible influence on the direction of AI capabilities
Professional Growth & Networking: Connect one-on-one with AI professionals, build relationships with fellow interns, and expand your industry network
Optional In-Person Meetups: Opt to join occasional regional gatherings to meet peers and Scale AI personnel face-to-face
Pathways to the Future: Exceptional interns may be invited to continue working with Scale AI. Alumni networks and ongoing support keep doors open for future collaborations and career advancement
Compensation & Flexibility: $50/hour
5-20 hours a week, and fully remote (within the U.S.)

Parttime

Research Intern - GenAI

Appen

Location:
Australia , Chatswood, Sydney

Category:
Research and Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 03, 2026

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Additional Information:

Job Posted:January 03, 2026

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