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AI/ML Research Engineer

We are looking for an AI/ML Research Engineer with 2-3 years of experience in AI projects, strong skills in Python and ML frameworks, and a solid understanding of state-of-the-art AI methodologies. The role involves designing and developing advanced AI models, leading impactful research projects, and mentoring junior team members. Ideal candidates will have a background in large-scale data processing, problem-solving, and effective communication, with bonus points for experience in cloud environments, published research, and advanced degrees in AI or ML.

A few things about ORFIUM

Orfium is the global technology leader solving the entertainment industry’s biggest challenges around digital music and broadcast rights management, cue sheets, data, and reporting.

We’re transforming the entertainment ecosystem with industry-leading software and music reporting solutions so that whenever music is played in the world, Orfium is working behind the scenes to support its customers to track it, deliver the data, and help creators, rights holders, and media companies report and monetize the usage.

Orfium works with some of the largest music and entertainment companies in the world including Warner Music Group, Sony Music Entertainment, Sony Music Publishing, Warner Chappell Music Publishing, Universal Music Publishing Group, Ingrooves, Red Bull, and many more! Our team of 700+ operates from locations including LA, London, Dublin, Sofia, Tokyo and Athens.

We’re music lovers, developers, data scientists and designers - all working together to improve the entertainment industry for everyone. Our people are passionate, dedicated and constantly innovating. We’re committed to creating a fair and transparent working environment where everyone can thrive and be themselves.

We are looking for talented people to join our team who are passionate about making a difference!

Duties/Responsibilities:

  • Design and develop novel AI models and ML algorithms.
  • Focusing on state-of-the-art AI research and literature
  • Benchmarking current solutions and defining the baseline of models/processes
  • Leading projects with an impact-driven approach
  • Conduct in-depth research to identify new approaches and techniques.
  • Analyze complex datasets and extract valuable insights.
  • Coaching, mentoring, and collaborating with junior team members
  • Creating reports of the experiments and analyses
  • Publish research findings in academic journals or conferences.

Qualifications:

  • 2-3 years of working experience in AI projects
  • Proficiency in Python programming language and Machine Learning libraries and AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn, or similar)
  • Good knowledge of the state of the art of technologies in relevant fields (ML, AI)
  • Analytical and with the ability to set requirements and break problems into smaller task
  • Experience with large-scale data processing 
  • Strong problem-solving skills and the ability to tackle complex research questions.
  • Ability to work independently and take ownership of projects.
  • Good communication skills to present findings and collaborate effectively.
  • BSc in Computer Science or Engineering or related field
  • Extra points if they have a MEng or MSc in AI  / Machine Learning or a related field
  • Prior experience or some foundation in working with big data and high-throughput systems
  • Extra points if they have previous working experience in a cloud-native environment (preferably AWS)
  • Extra points if  they have paper publications  in AI/ML research area.

🚀 You'll get to work into one of the up-and-coming tech companies in the Music Industry.

🏠 Hybrid work model

💰 Competitive salary & Stock Options plan.

🏥 Private Health & Life Insurance.

🌴 Extra Days Off.

💻 Latest tech equipment.

ORFIUM is proud to be an equal opportunity workplace. We are committed to equal employment opportunities without unlawful regard to race, color, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, veteran status, or any other local legally protected characteristic.

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CEO of Orfium
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$80000K
$120000K

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What You Should Know About AI/ML Research Engineer, Orfium

At Orfium, we're on the lookout for an enthusiastic AI/ML Research Engineer to join our innovative team! If you have 2-3 years of experience in AI projects and possess strong skills in Python and various machine learning frameworks, then you're exactly who we want! In this pivotal role, you'll be diving into the exciting world of AI by designing and developing advanced AI models. Leading impactful research projects won't just be your responsibility; you'll also have the chance to mentor junior team members, fostering collaboration and growth within our talented group. Our ideal candidate will come with a solid understanding of state-of-the-art AI methodologies, large-scale data processing experience, and impeccable problem-solving abilities. Plus, if you've dabbled in cloud environments or have a publication to your name in AI/ML research, that’s a fantastic bonus! Working at Orfium means being part of a dynamic team that solves the entertainment industry’s biggest challenges concerning digital music and broadcast rights management. Our commitment to a transparent and inclusive workplace makes every team member feel valued. With a robust hybrid work model and perks like competitive salaries, stock options, and private health insurance, we support you in both work and life. Join us at Orfium and be a part of transforming the entertainment ecosystem!

Frequently Asked Questions (FAQs) for AI/ML Research Engineer Role at Orfium
What are the responsibilities of an AI/ML Research Engineer at Orfium?

As an AI/ML Research Engineer at Orfium, you'll design and develop cutting-edge AI models and machine learning algorithms. Your role includes leading impactful research projects, mentoring junior team members, and performing in-depth analyses of complex datasets, ensuring that your findings drive our mission of enhancing the entertainment industry's capabilities.

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What qualifications are required for the AI/ML Research Engineer position at Orfium?

To qualify for the AI/ML Research Engineer role at Orfium, you should have 2-3 years of experience in AI projects, proficiency in Python and popular ML frameworks like TensorFlow or PyTorch. A Bachelor’s degree in Computer Science or a related field is essential, although advanced degrees in AI or Machine Learning will give you a competitive edge.

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How does the AI/ML Research Engineer role at Orfium support career growth?

The AI/ML Research Engineer role at Orfium is designed to foster professional growth. You'll have opportunities to lead research projects, mentor junior staff, and publish findings in academic forums, which will not only enhance your skill set but also position you as a thought leader in the AI/ML community.

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What technologies will an AI/ML Research Engineer work with at Orfium?

An AI/ML Research Engineer at Orfium will work with technologies like Python and various AI frameworks such as TensorFlow, PyTorch, and scikit-learn. Experience with cloud environments, particularly AWS, is a plus as you will engage in projects that require large-scale data processing and high-throughput systems.

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What kind of projects will an AI/ML Research Engineer lead at Orfium?

You will lead impactful projects that involve developing novel AI models and machine learning algorithms. This includes benchmarking current solutions, conducting extensive research for innovative approaches, and analyzing complex datasets to extract valuable insights, all while making significant contributions to the entertainment industry.

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Common Interview Questions for AI/ML Research Engineer
Can you explain your experience with AI/ML frameworks?

In your response, detail the frameworks you’ve worked with, such as TensorFlow or PyTorch. Highlight specific projects where you implemented these technologies, discuss any challenges you faced, and how you overcame them. Be prepared to demonstrate your understanding of the framework's capabilities and limitations.

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How do you approach designing an AI model?

Discuss your process by detailing the steps: from defining the problem, researching existing solutions, selecting relevant data, designing the architecture, training the model, and evaluating the performance. Emphasize your analytical mindset and problem-solving skills throughout the process.

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What is your experience with large-scale data processing?

Share specific examples of how you’ve handled large datasets in previous projects. Discuss the tools or technologies used (like Hadoop or Spark) and any methodologies employed to ensure efficiency and accuracy in your processing workflows.

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Describe a challenging research problem you tackled in AI.

Choose a real-world problem and walk the interviewer through your thought process. Explain the methodologies employed, the results obtained, and what you learned. This showcases your analytical skills and ability to handle challenges creatively.

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How do you stay updated with AI research?

Mention academic journals, conferences, and online platforms you follow. Discuss how you apply the latest research trends to your projects, demonstrating your commitment to continuous learning and innovation in the AI space.

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What role does collaboration play in your work?

Highlight the importance of teamwork in your previous projects. Share experiences where collaborative efforts led to successful outcomes, and detail how you communicate and mentor junior team members to foster a positive team environment.

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Can you give an example of a successful project you led?

Describe a project where you took the lead. Discuss the objectives, your specific contributions, and the outcome. Highlight any metrics of success and how this project impacted the team or company.

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What techniques do you use to evaluate your AI models?

Talk about various evaluation methods you’ve applied, such as cross-validation or confusion matrices. Explain how these techniques help you assess model performance and improve upon your initial designs.

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How do you handle project setbacks or failures?

Share a specific experience of a setback. Discuss how you analyzed what went wrong, the lessons learned, and how you applied this knowledge to future projects. This reveals your resilience and growth mindset.

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Why are you interested in working at Orfium as an AI/ML Research Engineer?

Express your enthusiasm for Orfium's mission and vision in transforming the music industry. Discuss how your skills align with the company’s goals and how you hope to contribute to innovative solutions in digital music and broadcast rights management.

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We make the future of music BRIGHTER by providing the highest quality copyrights and data management software & services for a new operational tech era of the Music Industry. Our Vision: To be the #1 tech & business solution pioneers leading the...

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Full-time, hybrid
DATE POSTED
December 1, 2024

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