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Applied AI Researcher (USA)

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.

Job Description:

Articul8 AI is seeking an exceptional Applied AI Researcher to join us in shaping the future of Generative Artificial Intelligence (GenAI). As a member of our Applied Research team, you will be responsible for implementing novel algorithms and models capable of handling diverse modalities such as text, images, audio, video, and time series data.

Responsibilities:

  • Serve as the subject matter expert in various domains such as data pipelines, training and fine-tuning, reinforcement learning, model architecture development and optimization, multi-expert systems, and multimodal models and techniques.

  • Play a pivotal role in pioneering technologies through all stages, from initial brainstorming and experimentation to validation and deployment.

  • Collaborate with cross-functional teams to seamlessly incorporate innovation and maintain our product technology leadership.

  • Continuously stay abreast of emerging trends and advancements in of GenAI and associated fields, while disseminating appropriate research results at top-tier conferences and journals.

Required Qualifications:

  • Education: PhD degree in Computer Science, Machine Learning (ML), or a related field; or alternatively, MSc Degree and experience (4+ years post BSc graduation) as a practicing researcher.

  • Professional experience: proven track record as a researcher working in the design and implementation of ML/AI models and algorithms aimed at solving complex, real-world problems. A strong background in parallel/distributed computing (preferably on the cloud).

  • Core technical skills: machine learning, probability theory and statistics, natural language processing, computer vision, data wrangling and preparation, model evaluation and interpretation.

  • Programming Skills: Proficiency in programming languages such as Python and experience working with version control systems (e.g., Git) and collaborating on code repositories is crucial.

Preferred Qualifications:

  • 4+ years of hands-on experience as an applied ML/AI researcher

  • Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments.

  • Experience with cloud computing platforms such as AWS, Azure, or GCP.

  • Proven track record of publications in top-tier conferences and journals

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 within cross-functional teams - communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives.

  • 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.

If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team.

Average salary estimate

$150000 / YEARLY (est.)
min
max
$120000K
$180000K

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 Applied AI Researcher (USA), Articul8

Are you ready to take your career to the next level? Join us at Articul8 AI as an Applied AI Researcher, where your passion for Generative Artificial Intelligence (GenAI) can soar. At Articul8 AI, we pride ourselves on our commitment to excellence and innovation in the AI space. In this role, you’ll be at the forefront of shaping the future of AI by implementing cutting-edge algorithms and models that handle everything from text and images to audio and video data. Your expertise will be crucial as you collaborate with our diverse team to propel groundbreaking technologies from concept to deployment. You will serve as a subject matter expert, diving deep into data pipelines, reinforcement learning, and multi-expert systems. Staying current with the latest trends in GenAI is essential, as your findings will be shared at prestigious conferences and journals. To succeed, you’ll bring a PhD in Computer Science or a related field, or a Master’s degree with significant experience. You should have a proven track record in designing and implementing machine learning models, with hands-on experience in cloud computing. Proficiency in programming languages like Python will be vital as you work with our version control systems. If you're excited about problem solving, collaboration, and continuous learning, this role at Articul8 AI is for you. Apply now to make a significant impact in the world of AI!

Frequently Asked Questions (FAQs) for Applied AI Researcher (USA) Role at Articul8
What responsibilities does the Applied AI Researcher at Articul8 AI have?

The Applied AI Researcher at Articul8 AI is tasked with implementing novel algorithms and models across various data modalities, playing a crucial role in the development of cutting-edge AI technologies. Responsibilities include serving as a subject matter expert in multiple areas such as data pipelines, model optimization, and reinforcement learning, as well as collaborating with cross-functional teams and maintaining awareness of trends in Generative AI.

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What qualifications are needed to become an Applied AI Researcher at Articul8 AI?

To be considered for the Applied AI Researcher role at Articul8 AI, candidates should hold a PhD in Computer Science or a related field. Alternatively, a Master’s degree along with at least four years of practical research experience is acceptable. Core competencies should include machine learning, natural language processing, and proficiency in programming languages such as Python.

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What experience is preferred for the Applied AI Researcher position at Articul8 AI?

Preferred qualifications for the Applied AI Researcher role at Articul8 AI include four or more years of hands-on experience in applied machine learning or AI research, particularly in developing tools for model training and deployment. Experience with major cloud computing platforms like AWS or Azure, as well as a history of research publications, is highly desirable.

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What skills are important for an Applied AI Researcher at Articul8 AI?

Critical skills for an Applied AI Researcher at Articul8 AI encompass a solid understanding of probability theory, statistics, and computer vision, alongside a robust capability in data preparation and manipulation. Excellent collaboration and communication skills are also essential, allowing you to effectively work within diverse teams and share insights clearly.

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What attributes do we value in an Applied AI Researcher at Articul8 AI?

At Articul8 AI, we highly value emotional intelligence, curiosity, and critical thinking in our Applied AI Researchers. The role demands an ability to creatively solve complex problems, embrace continuous learning, and openly collaborate with diverse colleagues while displaying adaptability and a willingness to acknowledge one's limitations.

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Common Interview Questions for Applied AI Researcher (USA)
Can you describe your experience with implementing machine learning models?

In responding to this question, detail specific projects where you've successfully implemented ML models. Discuss the algorithms used, the challenges faced, and how you overcame them. Highlight your contributions and what impact they had on the project outcome.

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How do you approach problem-solving in AI research?

Provide a clear methodology you follow when tackling complex problems. Emphasize critical thinking, breaking down problems into smaller components, and using an evidence-based approach to iterate on your solutions.

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What is a recent trend in Generative AI that you find intriguing?

Select a recent trend or advancement in Generative AI and explain why it interests you. Discuss its potential implications for the industry, your perspective on its challenges, and any related personal research or development you've engaged in.

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How do you ensure the quality and accuracy of your models?

Discuss the techniques you use for quality assurance in your models, including validation procedures, optimization strategies, and how you leverage feedback and data for continuous improvement.

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Describe your experience with cloud computing and related AI tools.

Make sure to outline your familiarity with specific cloud platforms such as AWS, Azure, or GCP. Describe how you've utilized these technologies for model training and deployment tasks, emphasizing any tools or systems you've built or adapted.

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What do you think is the most challenging aspect of Applied AI Research?

Share your thoughts on the challenges faced in the field, such as ethical considerations, handling diverse data types, or the complexity of model performance. It's important to discuss how you stay proactive in addressing these challenges.

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Can you provide an example of a collaboration with a cross-functional team?

Use this opportunity to describe a project where teamwork was essential. Explain your role, how you contributed to the collective goal, and any communication strategies that helped foster a successful collaboration.

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What methods do you use for continuous learning and staying updated in your field?

Talk about specific resources you engage with—such as academic journals, online courses, or industry conferences. Mention how actively seeking new knowledge influences your work and contributes to your growth.

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What programming languages are you proficient in, and how have you used them in your projects?

Discuss your proficiency in programming languages like Python, and provide clarity on particular projects or applications where you have applied these skills. Highlight any frameworks or libraries you are comfortable with.

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How do you handle failure or setbacks in your research?

Illustrate your resilience by discussing a specific setback, how you approached the failure, and the lessons learned. It's important to show an understanding that setbacks can foster growth and innovation.

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EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
January 10, 2025

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