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Intern - Machine Learning Engineer

About us: 

At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same. 

Job Description: 

Artilcul8 seeking a highly motivated and talented Intern Machine Learning Engineer to join our team. As an Intern Machine Learning Engineer, you will have the opportunity to work on cutting-edge AI and machine learning projects, collaborating with our team of experienced engineers and researchers to design, develop, and deploy AI-driven solutions that solve real-world problems.

Responsibilities:

  • Design, develop, and deploy machine learning models and AI applications, with a focus on optimizing performance for production environments

  • Train, fine-tune, and optimize deep learning and large language models (LLMs) to achieve state-of-the-art results

  • Collaborate with cross-functional teams, including data scientists, software engineers, and product teams, to integrate AI capabilities into applications

  • Evaluate and implement new AI/ML algorithms and techniques to improve model accuracy and efficiency

  • Work with large-scale datasets, ensuring data quality, preprocessing, and feature engineering

  • Optimize models for cloud and on-prem environments, ensuring low latency and high availability

  • Develop APIs and microservices to serve AI models in production

  • Stay up to date with the latest AI trends, research, and best practices, and apply this knowledge to improve our AI solutions

Requirements:

  • Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science, AI, Machine Learning, or a related field

  • Strong programming skills in Python or PyTorch

  • Experience with machine learning frameworks, such as TensorFlow or PyTorch, and large language models (LLMs)

  • Familiarity with data preprocessing, feature engineering, and model evaluation techniques

  • Experience with cloud platforms, such as AWS, GCP, or Azure, and containerization (Docker, Kubernetes)

  • Strong problem-solving and analytical skills, with the ability to break down complex problems into manageable components

  • Excellent communication and teamwork skills, with the ability to work effectively in a collaborative environment

Nice to Have:

  • Experience with multi-cloud AI deployments and generative AI

  • Familiarity with distributed computing frameworks, such as Spark or Ray

  • Experience with edge AI or AI model compression (quantization, pruning)

  • Prior experience working on AI SaaS platforms

What We Offer:

  • The opportunity to work on cutting-edge AI and machine learning projects with a talented team of engineers and researchers

  • A collaborative and dynamic work environment that encourages innovation and creativity

  • Professional development opportunities, including training and education programs, to help you advance your skills and career

  • A competitive internship package, including a stipend and other benefits

Professional Attributes: 

  • Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence. 

  • Collaboration and Communication: proficiency in working cross-functionally communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives. 

  • Project Management and Prioritization: demonstrated aptitude in balancing multiple projects, deadlines, and allocating time efficiently between short-term objectives and long-term goals. 

  • Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results. 

  • Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base. 

  • Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions. 

What We Offer: 

By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development. 

Your future experience at Articul8 will include continuous learning and growth opportunities as we embark on an exciting journey to disrupt the status quo. If you're excited about joining a team that's passionate about making a difference, we want to hear from you. 

In addition to our competitive salary and benefits package, we offer a range of perks and programs designed to help you succeed, including: 

  • Professional development opportunities, including training and mentorship programs 

  • Flexible work arrangements, including remote work options 

  • Access to the latest technologies and tools 

  • Regular social events and team-building activities 

  • A supportive and inclusive work environment 

If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise. 

Average salary estimate

$30000 / YEARLY (est.)
min
max
$25000K
$35000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Intern - Machine Learning Engineer, Articul8

At Articul8 AI in Dublin, we're on the hunt for an enthusiastic and driven Intern - Machine Learning Engineer to join our vibrant team! If you're passionate about AI and machine learning and want to make a real-world impact, this is the place for you. As an intern, you'll dive into exciting projects where you'll design, develop, and deploy cutting-edge AI applications alongside experienced engineers and researchers. You'll have the unique opportunity to train and fine-tune deep learning models and large language models (LLMs) while collaborating with data scientists and software engineers to integrate innovative solutions into our applications. The role includes evaluating new AI algorithms, optimizing models for production environments, and developing APIs that bring AI magic to life. We're looking for someone who's currently pursuing a degree in fields like Computer Science or Machine Learning and possesses strong Python or PyTorch skills. Familiarity with cloud platforms and experience with machine learning frameworks will give you a leg up. At Articul8 AI, we foster an environment that values creativity, teamwork, and continuous learning, offering professional development opportunities to help you grow your skills. If you’re ready for a challenge and want to be part of a supportive and diverse community, apply now and help shape the future of AI with us!

Frequently Asked Questions (FAQs) for Intern - Machine Learning Engineer Role at Articul8
What are the main responsibilities of the Intern - Machine Learning Engineer at Articul8 AI?

As an Intern - Machine Learning Engineer at Articul8 AI, your primary responsibilities include designing and deploying machine learning models, training and optimizing deep learning algorithms, collaborating with cross-functional teams, and evaluating new AI/ML techniques to enhance model efficiency and accuracy.

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What qualifications are needed to apply for the Intern - Machine Learning Engineer position at Articul8 AI?

To qualify for the Intern - Machine Learning Engineer position at Articul8 AI, candidates should be pursuing a Bachelor's, Master's, or PhD in Computer Science, AI, or a related field, with strong programming skills in Python or PyTorch and a fundamental understanding of machine learning frameworks.

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What skills should I have to be successful as an Intern - Machine Learning Engineer at Articul8 AI?

Successful candidates for the Intern - Machine Learning Engineer role at Articul8 AI should possess analytical skills, strong programming knowledge, and experience with data preprocessing and model evaluation. Additionally, familiarity with cloud platforms and containerization technologies is advantageous.

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How does Articul8 AI support the professional development of its Intern - Machine Learning Engineers?

Articul8 AI is committed to supporting the professional development of its Intern - Machine Learning Engineers through training programs, mentorship opportunities, and a collaborative work environment that encourages continuous learning and innovation.

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What kind of projects will an Intern - Machine Learning Engineer work on at Articul8 AI?

Interns - Machine Learning Engineers at Articul8 AI will engage in diverse projects involving the development of machine learning applications, optimization of AI models, experimentation with new algorithms, and integration of AI capabilities within different products, all while addressing real-world challenges.

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Common Interview Questions for Intern - Machine Learning Engineer
Can you explain what deep learning is and how it differs from traditional machine learning?

When answering this question, clarify that deep learning is a subset of machine learning focused on neural networks with multiple layers, allowing for higher accuracy in processing large datasets and complex tasks compared to traditional algorithms that often rely on feature engineering.

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What experience do you have with machine learning frameworks like TensorFlow or PyTorch?

Be specific in mentioning any projects or coursework where you've utilized TensorFlow or PyTorch. Discuss the key features you leveraged and how your understanding of these frameworks will contribute to your role at Articul8 AI.

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How do you approach troubleshooting when a model doesn't perform as expected?

Discuss your systematic approach to troubleshooting, which might include examining data quality, reviewing model architecture, and experimenting with hyperparameters. Highlight your analytical skills and persistence in problem-solving.

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Can you describe a time when you collaborated with others on a machine learning project?

Illustrate your teamwork experience by detailing a specific project, your role, how you communicated with team members, and how combined efforts led to successful outcomes and learning experiences.

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What strategies do you use for feature engineering?

Explain your understanding of feature engineering by discussing various techniques such as normalization, handling categorical variables, and creating new features based on domain knowledge, emphasizing how these strategies improve model performance.

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What steps do you take to ensure your models are robust and generalize well?

Outline the importance of using validation sets, cross-validation techniques, and regularization methods to prevent overfitting and improve the robustness of your models when discussing this.

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How do you stay updated with the latest trends in AI and machine learning?

Share the specific resources you rely on, such as research papers, tech blogs, webinars, and conferences, demonstrating your commitment to continuous learning and staying at the forefront of AI advancements.

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What cloud platforms are you familiar with, and how have you used them in your projects?

Mention any specific cloud platforms like AWS, GCP, or Azure, and provide examples of how you've used their services for machine learning tasks such as storage, training models, or deploying applications.

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Can you explain the importance of data preprocessing in machine learning?

Highlight the key role of data preprocessing in ensuring high-quality inputs for your models, covering steps like cleaning, scaling, and transforming data, and how these steps influence model accuracy and efficiency.

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What is your understanding of AI ethics, and why does it matter?

Convey your awareness of AI ethics by discussing potential biases in data and algorithms, the importance of data privacy, and how ethical AI practices are crucial for maintaining trust and fairness in technology.

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EMPLOYMENT TYPE
Internship, remote
DATE POSTED
April 8, 2025

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