Software engineering & machine learning intern Job at VO2 Group (Paris)

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

New

Machine Learning Software Engineer

In this role, you will design, build, and optimize robust ML models, data pipeli...

Location

Canada , Calgary

Salary:

Not provided

Randstad

Expiration Date

August 08, 2026

Requirements

BSc. or MSc. degree in Computer Science, Engineering, Mathematics, Physics, Statistics, or an equivalent quantitative discipline
Minimum of 3+ years of professional experience successfully delivering AI/ML projects
Minimum of 2+ years operating explicitly as a software developer within a structured delivery team
Mastery of ML algorithms, techniques, and Agentic frameworks, with the proven ability to optimize models with minimal supervision
Advanced expertise in at least two common development languages (e.g., Python, Java, C#)
Proficient working knowledge of general Python data packages and relational/non-relational databases and query engines (e.g., SQL)
Strong foundational knowledge of DevOps automation practices and building production solutions within AWS
Proficient with statistical concepts and capable of applying rigorous statistical thinking to solve complex business problems

Job Responsibility

Build, optimize, and scale machine learning models and end-to-end data pipelines
Design and implement critical operational aspects of model deployment, including automation pipelines, continuous monitoring, and automated drift detection
Transition experimental models and prototypes into robust, maintainable, and production-grade software applications
Participate in research experiments and rapid prototyping to validate next-generation AI concepts
Provide core software engineering expertise to internal data analytics and data science delivery teams
Apply strict software development best practices, including Test-Driven Development (TDD) and automated CI/CD workflows
Review requirements, map system dependencies, and provide accurate implementation effort estimations during team planning sessions
Test, debug, and optimize application code to eliminate performance bottlenecks
Conduct thorough code reviews and provide constructive feedback to elevate overall team code quality
Collaborate closely with architects, data scientists, product teams, and business stakeholders to translate high-level goals into functional ML architectures

What we offer

Cutting-Edge AI Scope: Direct involvement in building and optimizing both traditional ML models and next-generation Agentic solutions with a high degree of autonomy
End-to-End Technical Ownership: Lead the operational deployment (MLOps) of AI models, directly influencing infrastructure automation, model tracking, and system performance
Cross-Functional Collaboration: Serve as the technical software anchor within a diverse ecosystem of data scientists, enterprise architects, and product managers
Modern Cloud Stack: Deepen your expertise in cloud-native deployment using AWS, enterprise data pipelines, and advanced platforms like Databricks

Software Machine Learning Engineer

As a Machine Learning Engineer, you will design, develop, and deploy applied AI ...

Location

United States , North Reading

Salary:

116500.00 - 186400.00 USD / Year

Teradyne

Expiration Date

Until further notice

Requirements

2+ years of experience in machine learning, applied AI, or related fields
Hands-on experience building and deploying ML models
Exposure to production ML systems (MLOps, monitoring, deployment) is desirable
Ability to work collaboratively across teams
Strong analytical and problem-solving skills
Basic understanding of software engineering practices and version control
Ability to work cross-functionally with product, software, and hardware teams
Strong communication skills
comfortable engaging directly with customers and stakeholders
Strong problem-solving and reasoning skills

Job Responsibility

Design and implement pipelines for training, evaluation, and deployment of ML models
Apply graph ML methods to model relationships in structured and unstructured data
Build and experiment with reinforcement learning algorithms (e.g., policy gradients, PPO, Q-learning) for optimization and decision-making tasks
Incorporate interpretability and explainability techniques (e.g., SHAP, LIME, attention-based methods) into ML systems
Collaborate with software, product, and application engineering teams to integrate ML solutions into production systems
Assist in defining evaluation metrics and validation strategies for ML models
Work with internal stakeholders to understand engineering workflows and translate them into ML-driven solutions
Contribute to improving ML infrastructure, tooling, and best practices

What we offer

Medical, dental, vision, Flexible Spending Accounts, retirement savings plans, life and disability insurance, paid vacation & holidays, tuition assistance programs, and more

Fulltime

Software Engineering Intern

Waymo is an autonomous driving technology company with the mission to be the wor...

Location

United States , Mountain View

Salary:

Not provided

Waymo

Expiration Date

Until further notice

Requirements

Currently pursuing a Bachelor's or Master's degree in Computer Science or a related technical field
Strong programming skills in C++ and Python, with experience in backend and pipeline development, and some SQL knowledge
Excellent communication, documentation, and teamwork skills, with the ability to quickly learn and integrate complex systems

Job Responsibility

Design and implement efficient C++ code to contribute to the existing codebase and adapt state-of-the-art ML models for synthetic scene rendering and sensor data generation
Collect and analyze metrics related to simulation reproducibility, performance, and the effectiveness of architectural optimization choices, and conduct experiments to evaluate synthetic data quality
Collaborate with the intern host on project design, write design documentation, integrate generated data into the Waymo simulation platform, and participate in discussion meetings and code reviews

What we offer

Health and wellness benefits including medical, dental and vision insurance, mental wellness support, gym membership, and special wellness programs
Financial wellness benefits including competitive compensation, bonus opportunities, equity, employees provident fund, and lots of other perks and employee discounts
Flexibility and time off including the flexibility to work from another location for four weeks per year, support for an on-site or hybrid work model and offer remote working opportunities, paid time off, bereavement, sick, and parental leave

Fulltime

Senior Machine Learning Software Engineer

Microsoft's Applied Sciences Group is at the forefront of developing groundbreak...

Location

Serbia , Belgrade

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND solid technical engineering experience with coding in C++ and Python
OR equivalent experience
High-level understanding of machine learning paradigms
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check

Job Responsibility

Design, build, test, debug, and ship high quality features
Work with appropriate stakeholders to determine requirements, identify the dependencies and develop the design documents
Break down larger work items and provide estimation
Deliver core algorithmic components
Work with engineers and researchers on building solutions for algorithm evaluation, comparison, and visualization
Work on algorithm optimization and productization across different platforms, including NPU, GPU and CPU
Work on the runtime end-to-end integration of individual processing components
Follow ongoing research – papers, conferences, and academia in the field
Apply engineering best practices throughout the software development lifecycle
Demonstrate initiative to incubate new ideas

Fulltime

Software Engineering Intern

Our 10-week summer internship program will be held in-person at our Atlanta head...

Location

United States , Atlanta

Salary:

Not provided

Alliance Automotive UK LV Ltd

Expiration Date

Until further notice

Requirements

Rising juniors and seniors (as of summer 2026) enrolled in an undergraduate program with a focus on computer science, software development, or related technology fields
Experience in application development, distributed systems, machine learning, natural language processing, or AI
Demonstrated passion for learning and applying modern technology tools to create innovative solutions
Preference will be given to applicants with a GPA of at least 3.6 as well as to those attending universities with highly rated Technology programs

Job Responsibility

Help solve complex business problems by leveraging technology and building scalable software platforms
Design and build large-scale software solutions using modern technologies to drive business value
Develop AI-driven solutions to solve business challenges by performing data preprocessing, model development, and automation to enhance processes
Collaborate with cross-functional teams to integrate AI tools and optimize results
Working across teams, review payment transaction data to determine fraud and abuse models
Form relationships with business partners, banking partners, and internal stakeholders to understand requirements and obtain data sources
Utilize AI and data-science to create tooling to flag at-risk transactions
Utilize transaction registers from POS, banks, and internal systems to facilitate a technology driven reconciliation process
Identify trends and anomalies to create alerts and reports
Generate dashboards for data and analysis

What we offer

Gain valuable experience and advance your technical skills
Network with highly respected Technology leaders
Highly collaborative work environment
Fun company-sponsored events, like attending a Braves game
Explore GPC’s rich history through field trips to various locations, including distribution centers and retail operations
Earn bragging rights, prizes, and opportunities to showcase your tech skills

Fulltime

Software Engineering Intern

Mechanize builds RL environments that teach AI models to perform real-world work...

Location

United States , San Francisco

Salary:

100.00 USD / Hour

Mechanize, Inc.

Expiration Date

Until further notice

Requirements

can code in python
highly intelligent

Job Responsibility

assist our team in creating RL environments to sell to the leading AI labs

Fulltime

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Software engineering & machine learning intern

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