AI Research Engineer (Level III)

| Provo, UT, USA | Remote | Hybrid
Employer Provided Salary: $140,000-$170,000 Annually
Salary data is provided by the employer. Please note this is not a guarantee of compensation.
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Meet BENlabs. We’re powering the creator economy with AI-intelligence. Through technology and innovation—machine learning and AI-driven insights—BENlabs empowers global brands and creators with the means to reach advertising-wary consumers in authentic ways, in the right place, at the right time in powerful content across entertainment.

Our global roster of Fortune 500 brands includes Microsoft, General Motors, Frito-Lay, Bloomingdales, Reckitt Benckiser and more. We work with these brands to better understand and expand their audiences, to develop stronger content, and to create unskippable content that drives engagement and sales.

Our team is global, with offices in Los Angeles (headquarters), Provo, New York, London, and Shanghai.

Here at BENlabs, we understand that our employees are instrumental to our continued success. Joining BENlabs means becoming part of a results-oriented, client-centric, and highly creative team. Here, you'll have the opportunity to learn from the industry's best and brightest, in an environment that values Passion, Accountability, Teamwork, Inclusion, Balance, and Empowerment. We offer competitive benefits and an inclusive culture that fosters personal and professional growth. Your journey with us promises to be both rewarding and impactful.

We hope you consider joining our exceptional team at BENlabs, where innovation and collaboration thrive, and where your talent can make a significant difference in the dynamic world of AI-driven marketing and content creation.


The ideal candidate will have a strong background in deep learning, AI, and software engineering practices, with proven experience in research and development in these areas. You should be comfortable with programming languages commonly used in AI research, such as Python, and familiar with deep learning frameworks like PyTorch. Strong problem-solving skills, creativity, and the ability to work in a fast-paced, collaborative environment are essential. You must be passionate and a fearless explorer.

Research and Applications

We are in the process of developing the next generation of AI Agents, designed to autonomously learn through interactions with humans or other AI agents. Our goal is to enable these agents to proactively reason and categorize content, thereby enhancing users' creativity, awareness, and ability to create. We are currently seeking candidates who have shown significant research and development contributions in some of the following domains:

·LLM Agents, Collaborative LLM Agents, etc. (e.g., LangChain)

·Reinforcement Learning from Human Feedback or AI Feedback (RLHF/RLAIF) – PPO DPO, etc.

·Deep Reinforcement Learning

· Multi-modal Large/Small Language Models or Large/Small Language Models


  • Work collaboratively with our team of leading researchers in deep learning and AI
  • Advance the frontiers of machine intelligence, striving to create video understanding systems
  • Stay abreast of the latest developments in the field. This includes following current research and developing state-of-the-art AI technology.
  • Develop and maintain a robust infrastructure for AI R&D and experimentation
  • Develop tooling and visualizations
  • Create pre-training data designed to reinforce uni- and multi-modality patterns.

Qualifications and Skills

  • A Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is highly desirable.
  • Proficiency in programming languages commonly used in AI, such as Python.
  • Experience with deep learning frameworks like PyTorch, or TensorFlow.
  • Experience with Multi-modal Foundation Models, Multi-modal Large Language Models, Visual-Language Models, Large Language Models (LLM), and Video Understanding.
  • Familiarity with machine learning algorithms and neural networks.
  • Knowledge of data structures, algorithms, and software engineering best practices.
  • Proven track record in AI research, evidenced by publications, contributions to open-source projects, or previous work experience in a similar role.
  • Experience in conducting experiments and interpreting results in the context of AI or machine learning.
  • Expertise in data gathering, preprocessing, and augmentation, especially with uni-modal, multi-modal, and instruction-based data.
  • Ability to tackle complex problems and develop innovative solutions.
  • Strong verbal and written communication skills are essential since the role involves working within a team and possibly interacting with external stakeholders.
  • Since AI is rapidly evolving, having a willingness to learn and adapt to new technologies and methodologies is crucial.
  • Ability to analyze complex systems and data and make informed decisions based on that analysis.

Don’t meet every requirement listed? Studies show that women and people of color are less likely to apply for jobs when they don’t meet every requirement. At BENlabs, we are committed to building a diverse and inclusive community, so if you think you could crush this role, even without all the listed qualifications, please apply! You may be exactly who we didn’t even know we need.

More Information on BENlabs
BENlabs operates in the Artificial Intelligence industry. The company is located in LOS ANGELES, California. It has 463 total employees. To see all 4 open jobs at BENlabs, click here.
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