Engineer Intern, GenAI Research Job at Appen

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

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

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

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, 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

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 Systems Research Engineer, Agent Post-training - 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

At least 1-3 years of LLM training in a production environment
Passionate about system optimization
Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc.
Ability to demonstrate know-how on how to operate the architecture of the modern GPU cluster
Experience with multi-node LLM training and inference
Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc.
Strong written and verbal communication skills to operate in a cross functional team environment
PhD or Masters in Computer Science or a related field

Job Responsibility

Build, profile and optimize our training and inference framework
Post-train state of the art models, developed both internally and from the community, to define stable post-training recipes for our enterprise engagements
Collaborate with ML teams to accelerate their research and development, and enable them to develop the next generation of models and data curation
Create a next-gen agent training algorithm for multi-agent/multi-tool rollouts

What we offer

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

Fulltime

Senior ML Engineer (GenAI, AWS)

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

ML Fundamentals: supervised, unsupervised, and reinforcement learning
Model Development: feature engineering, model training, evaluation, hyperparameter tuning, and validation
ML Frameworks: classical ML libraries, TensorFlow, PyTorch, or similar frameworks
Deep Learning: CNNs, RNNs, Transformers
LLM Applications: Experience building production LLM-based applications
Prompt Engineering: Ability to design effective prompts and chain-of-thought strategies
RAG Systems: Experience building retrieval-augmented generation architectures
Vector Databases: Familiarity with embedding models and vector search
LLM Evaluation: Experience with evaluation metrics and techniques for LLM outputs
Python: Advanced proficiency in Python for ML applications

Job Responsibility

Design and implement end-to-end ML solutions from experimentation to production
Build scalable ML pipelines and infrastructure
Optimize model performance, efficiency, and reliability
Write clean, maintainable, production-quality code
Conduct rigorous experimentation and model evaluation
Troubleshoot and resolve complex technical challenges
Mentor junior and mid-level ML engineers
Conduct code reviews and provide constructive feedback
Share knowledge through documentation, presentations, and workshops
Collaborate with cross-functional teams (DevOps, Data Engineering, SAs)

What we offer

Long-term B2B collaboration
Fully remote setup
A budget for your medical insurance
Paid sick leave, vacation, public holidays
Continuous learning support, including unlimited AWS certification sponsorship

Fulltime

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Engineer Intern, GenAI Research

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