Computer Science and Engineering AI & ML Intern Job at ECPI University

Applied AI Engineer - AI Solutions

As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI a...

Location

United States , Redwood City; San Francisco

Salary:

172000.00 - 300000.00 USD / Year

Snorkel AI

Expiration Date

Until further notice

Requirements

B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience
3+ years of customer-facing experience in the design and implementation of AI/ML solutions
Proficiency in Python, including strong grounding in software engineering fundamentals (e.g., modular design, testing, profiling, packaging) and experience with modern Python constructs and libraries for type validation and typed data modeling (e.g., pydantic), building type-safe systems (e.g., mypy), testing (e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow)
Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI)
Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement
Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
Ability to work in a fast-paced environment and balance priorities across multiple projects at once

Job Responsibility

Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform
Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows
Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust. A data- and evaluation-first mindset is essential for success in this role
Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow
Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup
Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices
Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI
Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams
Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI
Annual travel up to 25%

What we offer

equity in the form of employee stock options

Fulltime

Senior Platform Engineer, AI Evaluation

We’re looking for an AI Platform Engineer to evolve and extend our internal eval...

Location

United States , Mountain View

Salary:

137871.00 - 172339.00 USD / Year

Khan Academy

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
5 years of Software Engineering experience with 2+ of those years working on the evaluation of generative AI systems
Strong programming skills in Go, Python, SQL, and at least one data pipeline framework (e.g., Airflow, Dagster, Prefect)
Familiarity with the architecture of large language models and their industry-standard APIs

Job Responsibility

Evolve and extend our internal evaluation framework for assessing the quality of our AI-driven experiences
Work closely with ML data engineers and platform developers to help internal teams adopt an eval-driven development process incorporating offline benchmark tests and online experiments
Gather internal requirements, getting buy-in for changes, and then developing documentation and training materials

What we offer

Competitive salaries
Ample paid time off as needed
8 pre-scheduled Wellness Days in 2026
Remote-first culture
Generous parental leave
401(k) + 4% matching
Comprehensive insurance, including medical, dental, vision, and life

Fulltime

Applied AI Engineer

Research and utilize state-of-the-art Gen AI and machine learning (ML) technique...

Location

United States , Washington, D.C.

Salary:

160000.00 - 250000.00 USD / Year

Snorkel AI

Expiration Date

Until further notice

Requirements

B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience
3+ years of customer-facing experience in the design and implementation of AI/ML solutions
Proficiency in Python, including strong grounding in software engineering fundamentals
Expertise across the Applied AI stack, spanning classical ML libraries, deep learning frameworks, foundation-model ecosystems, vector/embedding tooling, data processing frameworks, retrieval/RAG tooling, synthetic dataset curation, evaluation workflows, and LLM orchestration
Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders
Outstanding presentation skills to technical and executive audiences
Ability to work in a fast-paced environment and balance priorities across multiple projects at once
Experience reviewing and drafting responses to federal Requests for Comment (RFCs), Requests for Information (RFIs), Requests for Proposals (RFPs), etc. is preferred
Experience working across the Civilian, DOD and NATSEC agencies, inclusive of experience in Federal Law Enforcement, Healthcare, Financial/Regulatory and Military operations and logistics
Candidates must have an active TS/SCI

Job Responsibility

Partner with customers to build and deploy impactful Gen AI and machine learning solutions
Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows
Create augmented real-world datasets and comprehensive evaluation workflows
Forge and manage relationships with our customers’ leadership and stakeholders
Collaborate closely with pre-sales Solutions and Product teams
Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices
Lead stakeholder education on quantitative capabilities
Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams
Conduct one-to-few and one-to-many enablement workshops
Work on all aspects of complex National Security problems

What we offer

Equity in the form of employee stock options

Fulltime

AI Engineer Associate

We’re looking for an AI Engineer Associate who wants to help shape the future of...

Location

Sweden , Stockholm

Salary:

Not provided

Predli

Expiration Date

Until further notice

Requirements

Hold a degree in Machine Learning, Computer Science, Data Science, or a related field, and have a solid understanding of core ML principles
Skilled in programming across modern languages such as Python and TypeScript, and familiar with frameworks like PyTorch, TensorFlow, or Scikit-learn
Experienced working with databases, APIs, and data pipelines
Familiar with MLOps concepts, automation, and cloud environments
Based in Stockholm and fluent in English at a professional level

Job Responsibility

Design and build AI solutions that create real business value by applying pre-trained models in new and creative ways, especially within the rapidly evolving field of language models
Build and extend features in Predli Studio that push the boundaries of what’s possible with AI, creating tools that empower others and deliver real wow moments
Develop scalable APIs, backend services, and data pipelines for production-ready AI systems
Work with cloud infrastructure like AWS, GCP, and Azure, as well as container technologies such as Docker and Kubernetes
Collaborate with clients and non-technical stakeholders to translate ideas into working AI solutions
Explore and experiment with state-of-the-art AI tools and frameworks through internal innovation projects, keeping your skills sharp and your work at the forefront of the field
Participate in regular knowledge-sharing sessions and code reviews to exchange insights and improve our collective expertise

What we offer

Be part of a tight-knit team where your ideas matter and your work creates real impact
Work across consulting, product development, and applied research with exposure to diverse technologies and industries
Grow in a collaborative environment that values creativity, shared ownership, and learning by doing
Contribute to Predli Studio, a platform that redefines how organizations build and deploy AI
Take part in internal R&D projects that explore the future of intelligent systems
Join a culture that values curiosity, openness, and continuous learning
Enjoy a flexible hybrid setup, global collaboration, and opportunities for professional development and travel
Competitive compensation with room for growth as you develop in the role

PhD AI Research Intern

Join our cutting-edge Machine Learning Research team at Atlassian as a PhD Resea...

Location

United States , Seattle

Salary:

49.00 - 75.00 USD / Hour

Atlassian

Expiration Date

Until further notice

Requirements

Completed Bachelors degree in Computer Science or a related field
Currently pursuing a PhD in Computer Science or a related field at any stage of your doctoral studies
Degree completion date cannot be earlier than September 2026 - June 2027
Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques
Exhibit a solid grasp of algorithms and data structures
Demonstrate proficiency in Python programming and ability to write clean, efficient, and well-documented code
Experience working with large-scale datasets, including data preprocessing, augmentation, and scaling techniques
Has expertise in managing data using Python libraries such as NumPy, Pandas, Matplotlib, in addition to leveraging models from Hugging Face and has practical knowledge of applied machine learning and deep learning frameworks, like PyTorch
Demonstrated exposure to natural language processing (NLP) and Computer Vision (CV)
Familiarity with state-of-the-art research in machine learning and AI, as evidenced by relevant coursework, publications, or projects

Job Responsibility

Collaborate cross-functionally with Research Scientists and Machine Learning Engineers to design, implement, and evaluate experiments that advance the performance, efficiency, and scalability of modern ML and LLM systems for our AI products
Curate, preprocess, and manage large-scale datasets for training and evaluation, ensuring data quality, diversity, and reproducibility across experiments
Conduct continued training, fine-tuning, and alignment of large language models for specialized applications such as conversational AI, summarization, generative search, and multimodal agents
Evaluate cutting-edge ML algorithms through rigorous experimentation and provide detailed analyses highlighting performance insights, failure modes, and opportunities for improvement
Contribute to publications and presentations at internal workshops or top-tier academic venues, helping to drive innovation in Enterprise AI and large-scale ML systems

What we offer

health and wellbeing resources
paid volunteer days

PhD AI Research Intern

Join our cutting-edge Machine Learning Research team at Atlassian as a PhD Resea...

Location

Canada

Salary:

55.00 USD / Hour

Atlassian

Expiration Date

Until further notice

Requirements

Completed Bachelors degree in Computer Science or a related field
Currently pursuing a PhD in Computer Science or a related field at any stage of your doctoral studies
Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques

Job Responsibility

Collaborate cross-functionally with Research Scientists and Machine Learning Engineers to design, implement, and evaluate experiments that advance the performance, efficiency, and scalability of modern ML and LLM systems for our AI products
Curate, preprocess, and manage large-scale datasets for training and evaluation, ensuring data quality, diversity, and reproducibility across experiments
Conduct continued training, fine-tuning, and alignment of large language models for specialized applications such as conversational AI, summarization, generative search, and multimodal agents
Evaluate cutting-edge ML algorithms through rigorous experimentation and provide detailed analyses highlighting performance insights, failure modes, and opportunities for improvement
Contribute to publications and presentations at internal workshops or top-tier academic venues, helping to drive innovation in Enterprise AI and large-scale ML systems

What we offer

health and wellbeing resources
paid volunteer days

AI Research Intern

Join the cutting-edge Machine Learning Research team at Atlassian as a PhD Resea...

Location

United States , San Francisco

Salary:

55.00 - 66.00 USD / Hour

Atlassian

Expiration Date

Until further notice

Requirements

Completed Bachelors degree in Computer Science or a related field
Currently pursuing a PhD in Computer Science or a related field with an anticipated degree completion date between September 2025 - June 2026
Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques.

Job Responsibility

Collaborate with Research Scientists and Machine Learning Engineers
Contribute to the design and execution of research experiments
Curate, preprocess, and manage large datasets for training and evaluation
Execute continued training and alignment of LLMs
Evaluate advanced ML algorithms
Publish research in internal and external industry workshops and academic journals.

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Artificial (AI) Engineer

VELOX is hiring an AI Developer to help design and implement intelligent systems...

Location

United States , Boise

Salary:

Not provided

VELOX Media

Expiration Date

Until further notice

Requirements

Strong proficiency in Python (Pandas, NumPy, scikit-learn, etc.)
Experience with deep learning frameworks such as TensorFlow or PyTorch
Hands-on experience with natural language processing, retrieval-augmented generation (RAG), or LLMs (e.g., OpenAI, Claude, Mistral)
Understanding of data pipelines, model deployment, and performance monitoring
Experience working with APIs and integrating ML models into production systems
Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and embedding generation
Comfort working in cloud environments (GCP, AWS, or Azure)
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
3+ years of experience in applied AI/ML roles
Track record of launching AI tools or systems into production

Job Responsibility

Research, design, and deploy AI/ML models that drive value across client-facing and internal applications
Build tools that support predictive analytics, natural language querying, and campaign automation
Collaborate with product and engineering teams to integrate AI functionality into web platforms
Integrate AI solutions with our PHP/Laravel backend and MySQL databases via REST APIs or microservices
Write clean, scalable code for inference pipelines, model training, and testing environments
Monitor model performance and retrain or refine when necessary
Stay ahead of LLMs, vector DBs, and open-source innovations to enhance our AI roadmap
Contribute to a long-term AI strategy that makes VELOX more automated, intelligent, and insightful

What we offer

Competitive compensation and performance bonuses
Health insurance & 401k options
Paid vacation and holidays
Casual dress and regular team events
On-site gym and personal trainer access
Kombucha on tap

Fulltime

Computer Science and Engineering AI & ML Intern

ECPI University

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 01, 2026

Expiration:
February 04, 2026

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