Machine Learning & Python Engineering Intern Job at Provectus (Novi Sad)

Machine Learning Engineering Intern

Airbnb is seeking a Machine Learning Engineer Intern for our 2026 Summer Intern ...

Location

United States

Salary:

20.00 - 50.00 USD / Hour

Airbnb

Expiration Date

Until further notice

Requirements

Doctorate students with at least 1 semester of school remaining after the internship (expected graduation after December 2026)
Studying Computer Science or a related field
Knowledge of AI, especially large language model (LLM) fundamentals including fine tuning, data synthesis, reinforcement learning, etc.
Expertise of building large scale ReAct style AI agents
Proficient in Python and other open source LLM libraries like Huggingface
Work authorization for employment in the United States is required

Job Responsibility

Drive a project from end-to-end that aligns with your technical interest and goals
Exploring how new advancements in AI agents can be applied to Airbnb search and discovery experience
Own and drive a capstone project from beginning to end
Collaborate with multiple team members to achieve project milestones
Communicate with stakeholders across different teams to provide project updates
Seek and provide feedback throughout the internship
Actively participate in and contribute to the Engineering org and broader Airbnb community

What we offer

Employee Travel Credits

R&D Engineering Intern: Machine Learning Research

ATI’s Research & Development Engineering Intern Program is designed for graduate...

Location

United States , Monroe

Salary:

Not provided

ATI

Expiration Date

Until further notice

Requirements

Currently enrolled in a Master’s or PhD program in Computer Science, Data Science, Electrical/Computer Engineering, or a related field
Strong knowledge of machine learning, deep learning, and computer vision
Proficiency in Python and at least one major ML framework (e.g., PyTorch, TensorFlow)
Familiarity with multimodal AI and transformer-based models
Strong analytical, problem-solving, and communication skills

Job Responsibility

Develop and implement ML/AI models for image detection and classification of metallurgical microstructures and defects
Investigate and apply multimodal AI methods to integrate image, sensor, and process data
Design and maintain data pipelines for preprocessing, augmentation, and analysis
Collaborate with ATI engineers and researchers to translate computational results into practical insights
Document results and contribute to internal reports, presentations, and technical reviews

What we offer

Exposure to challenging, real-world research and development projects
Mentorship from ATI’s R&D experts and collaboration with multidisciplinary teams
A supportive environment that encourages innovation, learning, and professional growth
Competitive compensation for the duration of the internship

Parttime

Machine Learning Engineering Intern

At Cresta, the Knowledge Assist (KA) team develops AI solutions for the contact ...

Location

Canada , Toronto

Salary:

45.00 - 70.00 USD / Hour

Cresta

Expiration Date

Until further notice

Requirements

Currently pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow)
Strong understanding of machine learning fundamentals and generative modeling
Ability to design and analyze experiments involving large-scale datasets
Work authorization in the country of employment at the time of hire

Job Responsibility

Design, develop, and deploy Cresta’s KA solutions and proprietary models
Focus on practical AI challenges such as improving reasoning, and evaluation in real-world scenarios
Collaborate with cross-functional teams including front-end and back-end software engineers to integrate KA solutions into Cresta’s customer solutions
Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases
Contribute to solving cutting-edge problems in AI and help define the future roadmap for Cresta’s KA
Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems

What we offer

Lunch can be expensed (up to $25) while working in the office
PTO: 4 days
Compensation for this position includes a base salary, equity, and a variety of benefits

Intern, Machine Learning Engineering

ITHAKA’s Artificial Intelligence/ Machine Learning team (AI/ML) is looking for a...

Location

United States

Salary:

25.00 USD / Hour

Portico

Expiration Date

Until further notice

Requirements

Actively enrolled and pursuing a Bachelor’s or higher degree in Computer Science, Data Science, or a related technical field
Understanding of machine learning concepts, including understanding of machine learning algorithms, feature engineering techniques, training/evaluation/serving pipelines, etc.
Coursework or real-world experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
Experience working on Natural Language Processing (NLP) and/or Computer Vision use cases
Familiarity with Large Language Models (LLMs) and Generative AI techniques
Intermediate programming skills in Python and proficiency in SQL for data manipulation

Job Responsibility

Design, build, and deploy machine learning solutions addressing real-world use cases
Perform data analysis to ensure quality, identify insights, and inform model development
Develop and implement robust evaluation frameworks, including creating ground truth datasets, to assess model performance and reliability
Fine-tune models to enhance performance and scalability
Document and share your research findings with the team
Collaborate with a cross-functional team of machine learning engineers, software engineers, product managers, and user researchers as needed

Fulltime

Machine Learning Engineering Intern

Viant is seeking a Machine Learning Engineering Intern to support the developmen...

Location

United States , Irvine

Salary:

40.00 - 50.00 USD / Hour

Viant

Expiration Date

Until further notice

Requirements

Currently pursuing a Master's or PhD in Computer Science, Engineering, Data Science, or a related field
Strong foundation in Python and data structures
Familiarity with machine learning concepts (regression, classification, model evaluation)
Ability to analyze data and communicate results clearly
Experience with SQL, Pandas, NumPy, or ML frameworks (TensorFlow, PyTorch, scikit-learn)
Exposure to cloud platforms (GCP or AWS)
Interest in applied AI, advertising technology, or large-scale data systems

Job Responsibility

Assist in developing, testing, and evaluating machine learning models and data pipelines
Work with large datasets to support model training, validation, and analysis
Collaborate with engineering and data teams to integrate ML solutions into production systems
Analyze model performance and help document findings and recommendations
Learn best practices for scalable ML systems and experimentation

What we offer

Work on meaningful projects
Receive mentorship from experienced engineers
Gain exposure to cutting-edge technology
Collaborative, inclusive culture where curiosity and impact are valued

Fulltime

Software engineering & machine learning intern

We’re looking for early-career engineers who want to learn fast, work with exper...

Location

France , Paris

Salary:

Not provided

VO2 Group

Expiration Date

Until further notice

Requirements

Currently pursuing or recently graduated in Computer Science, Engineering, Applied Math, or a related field
Comfortable coding in at least one: Java, Kotlin, Python, or TypeScript
Passionate about AI, data, or building meaningful product features
Curious, collaborative, and excited to learn
Humble and resilient — you ask questions, take feedback, and grow

Job Responsibility

Contribute to real features and products
Work across multiple domains: Apps: Web app, frontend logic, UI/UX
Platform: Backend services, infrastructure, APIs
Core (ML): Algorithms, models, data systems

What we offer

Real Impact from Day One
Learning Everywhere
Lean, Ambitious Team
Healthcare Mission
Career Launchpad
Flexible working hours
Team building
100% covered health insurance
Sustainable mobility package
Employee stock purchase plan / BSPCE / Stock options

Fulltime

Applied Science Intern (Machine Learning, Recommender Systems)

Are you excited about leveraging state-of-the-art Deep Learning, Recommender Sys...

Location

Australia , Sydney; Melbourne; Adelaide; Brisbane; Botany; Craigieburn

Salary:

Not provided

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

Are enrolled in a PhD in computer science, machine learning, engineering, or related fields
Experience with video and image processing and compression algorithms and standards, computer vision and/or machine learning
Strong programming skills (Python preferred)

Job Responsibility

Develop novel solutions and build prototypes
Work on complex problems in Machine Learning and Information Retrieval
Contribute to research that could significantly impact Amazon operations
Collaborate with a diverse team of experts in a fast-paced environment
Collaborate with scientists on writing and submitting papers to top conferences, e.g. NeurIPS, ICML, KDD, SIGIR
Present your research findings to both technical and non-technical audiences

What we offer

Work in a team of ML scientists to solve recommender systems problems at the scale of Amazon
Access to Amazon services and hardware
Become a disruptor, innovator, and problem solver in the field of information retrieval and recommender systems
Potentially deliver solutions to production in customer-facing applications
Opportunities to be hired full-time after the internship

Fulltime

Machine Learning Intern

Ema is building next-generation AI to empower every employee in the enterprise t...

Location

United States , San Francisco Bay Area

Salary:

Not provided

Ema

Expiration Date

Until further notice

Requirements

2+ years of industry experience in a software engineering, data science, or ML role (full-time or internship)
Strong coding skills in Python and experience with ML frameworks like PyTorch or TensorFlow
A solid foundation in data structures, algorithms, and software engineering principles
Exposure to NLP, deep learning, reinforcement learning, or retrieval systems
Experience working with real-world data, and comfort with SQL and data processing pipelines
Curiosity about MLOps, cloud infrastructure, and scaling ML models
A collaborative mindset, eagerness to learn, and the ability to thrive in a fast-paced environment

Job Responsibility

Work alongside senior ML engineers to research, build, and deploy machine learning models across NLP, retrieval, ranking, and reasoning
Prototype and experiment with LLM-based architectures and agentic systems
Help process and analyze large-scale structured and unstructured datasets
Build data pipelines, contribute to model training and evaluation, and participate in the deployment of models in production
Assist with validation experiments such as A/B testing and other evaluation methods to ensure robustness and reliability
Collaborate closely with cross-functional teams and participate in technical discussions and code reviews

Fulltime

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Machine Learning & Python Engineering Intern

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