Engineer Intern, GenAI Research Job at Appen

Genai Software Engineer Intern – Genai Model Experiment

This is an exciting opportunity to light the way as a GenAI Engineer Intern with...

Location

China , Shanghai

Salary:

Not provided

Signify

Expiration Date

Until further notice

Requirements

Currently pursuing a Master's/PhD in Computer Science, Data Science, AI, or related fields
Availability: Able to commit to a 4-5 days, 4-month internship starting in May - June 2026
Proven coding rigor: Requiring strong Python programming or vibe-coding skills with hands-on experience building or testing LLM-based applications and utilizing modern development toolchains (Claude Code, Git)
Research & Writing Excellence: Demonstrated ability to formalize research methodologies and write high-quality academic or technical papers are preferred
Analytical mindset: Experience with A/B testing frameworks, experimental design, and defining/tracking KPIs for model evaluation are preferred
Self-starter: Ability to set up experiments independently, troubleshoot code, and drive projects forward
English proficiency: Strong ability to read, write, and synthesize complex technical documents and academic papers

Job Responsibility

Generative Engine Optimization (GEO) & Application Development: Drive GEO initiatives to enhance brand visibility for campaigns. Your core responsibilities will include: Designing and executing rigorous A/B test planning
Conducting prompt optimization to maximize AI-driven search relevance
Creating and implementing custom AI skills and Agentic workflows
Tracking KPIs to measure optimization success and visibility lift
Developing, maintaining, and scaling features for our internal GEO applications
Academic Research & Publication: Collaborate with the team to conduct deep, rigorous research. You will be responsible for composing and co-authoring academic papers targeted for publication in top-tier journals, exploring advanced AI topics such as LLM Supervised Fine-Tuning (SFT), time series foundation models, and model alignment

What we offer

Pleasant work environment
Attractive compensation
Career guidance
Learning and development
Employee benefits

Fulltime

Engineer Intern, GenAI Research

Appen’s GenAI research team advances how frontier models are evaluated, improved...

Location

United States

Salary:

Not provided

Appen

Expiration Date

Until further notice

Requirements

Current enrollment in or recent completion of a Master’s or PhD in Computer Science, AI, Machine Learning, Computer Engineering, or a closely related technical field
Strong experience working with large language models, including supervised fine tuning, prompt engineering, or model evaluation
Hands on experience building machine learning pipelines or research infrastructure
Experience improving model performance through retraining or hyperparameter tuning
Proficiency in Python and comfort working with machine learning frameworks and open source model ecosystems
Familiarity with cloud environments such as AWS or Azure
Strong technical problem solving ability, including use of LLMs as development aids for building and iteration
Ability to work independently with minimal hand holding
Strong written communication skills for summarising research and drafting technical documentation
Ability to collaborate effectively in a remote research environment

Job Responsibility

Design and implement a lightweight supervised fine tuning training pipeline using open source LLMs
Create new benchmarks to evaluate frontier models across defined scientific and performance criteria
Analyze production models to identify measurable areas for improvement
Improve model performance through targeted retraining and hyperparameter search
Deploy improved models while maintaining core model characteristics and avoiding regression
Build Python tooling to automate training, evaluation, benchmarking, and experimentation workflows
Implement structured evaluation methods, including rubric based scoring and LLM as a judge workflows
Document experimental design, benchmark methodology, and performance results with clarity and precision
Iterate rapidly in a research driven environment to increase model quality and reliability

Fulltime

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

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

New

Middle AI/ML Engineer (GenAI, AWS)

Provectus is an AWS Premier Consulting Partner and AI consultancy featured in Fo...

Location

Colombia , Medellín; Bogotá; Bucaramanga; Cali; Barranquilla

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Machine Learning
Deep learning hands-on experience: CNNs, RNNs, Transformers
Depth in at least one domain: NLP, Computer Vision, Recommendation, or Time Series
Experience building LLM apps with OpenAI, Anthropic, or Hugging Face APIs
Hands-on RAG design
Familiarity with vector databases (OpenSearch, Pinecone, Chroma, FAISS)
Understanding of prompt engineering and LLM evaluation
Proficient with AI coding tools (Claude Code, Cursor, Copilot, etc.)
Experience building tool-using, stateful agents with an orchestration framework
Understanding of Model Context Protocol (MCP)

Job Responsibility

Build and deliver ML pipelines from experimentation to production
Build and optimize models — supervised, unsupervised, and generative AI
Write clean, tested, modular Python code
Deploy and monitor models
track performance and prevent drift
Contribute to LLM applications: RAG systems and agent workflows
Use AI coding tools on every task
Use Claude Code or similar AI tools to deliver client projects
Build with agent frameworks (Bedrock AgentCore, Strands, CrewAI, or similar)
Integrate or build MCP servers

What we offer

Competitive salary based on competencies and market rates
Premium AI tooling: Claude Code, Cursor, and Provectus AI toolkit
Mentorship from Senior ML Engineers and Tech Leads
Clear growth path: Mid-Level → Senior ML Engineer → Tech Lead
Learning budget for courses, certifications, and conferences
Remote-first culture
work on projects across LATAM, North America, and Europe
Health benefits

Fulltime

Research Intern - GenAI

Appen is seeking Research Interns to support innovative research in Generative A...

Location

Australia , Chatswood, Sydney

Salary:

Not provided

Appen

Expiration Date

Until further notice

Requirements

Postgraduate students in Linguistics, Computer Science, AI, Data Science, or similar disciplines preferred
strong final-year and recent undergraduate candidates in these fields will also be considered
Familiarity with programming languages such as Python, R, or similar tools used in data analysis and machine learning
Experience with data annotation, model evaluation, or prompt engineering
Understanding of multilingual NLP, speech technologies, or agentic AI systems
Strong written communication skills, especially for summarizing research and drafting technical content
Ability to work independently and collaboratively in a remote research environment

Job Responsibility

Conduct literature reviews on topics such as adversarial prompting, multilingual evaluation, and agentic AI
Assist in dataset curation, annotation, and quality assurance for speech, text, and multimodal data
Support model evaluation experiments, including prompt engineering and red teaming
Develop scripts and tools for data analysis, visualization, and automation
Contribute to internal documentation, research reports, and thought leadership content
Participate in team meetings and cross-functional collaborations
Help prepare materials for conferences, publications, and workshops

What we offer

Hands-on experience in applied AI research with real-world impact
Mentorship from experienced researchers and exposure to industry workflows
Opportunities to contribute to publications, datasets, and thought leadership
A collaborative and inclusive research environment

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

Engineer Intern, GenAI Research

Appen

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Requirements:

Additional Information:

Job Posted:
March 08, 2026

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