Research Engineer (Remote)

Salary: Competitive Salary
Job Type: Full time
Experience: Senior Level

Signify Technology

Research Engineer (Remote)

Research Engineer | Signify Technology | UnitedStates

Job Title: Research Engineer (Multiple headcount– hiring at multiple levels)

...

Research Engineer | Signify Technology | United States

Job Title: Research Engineer (Multiple headcount – hiring at multiple levels)

Location: Remote (Europe & United States)

About Us: We are a pioneering company in the generative AI space, with a mission to revolutionize how artificial intelligence enhances human creativity and productivity. With over $1.5 billion in funding raised to date, we are on a rapid growth trajectory and aim to scale our technical team by over 200 members by the end of 2025. Join us and be at the forefront of cutting-edge AI research and development.

Job Description:

As a Research Engineer specializing in Large Language Models (LLMs), you will play a critical role in advancing our generative AI capabilities. You will work alongside a world-class team of researchers and engineers to develop and refine state-of-the-art AI models that power our innovative products and services. This is a unique opportunity to contribute to the development of groundbreaking technology in a highly collaborative and dynamic environment.

Key Responsibilities:

  • Conduct research and development on Large Language Models (LLMs) to push the boundaries of what generative AI can achieve.
  • Design, implement, and evaluate novel algorithms and architectures for LLMs.
  • Collaborate with cross-functional teams to integrate research outcomes into scalable AI solutions.
  • Optimize and fine-tune existing models to improve performance, efficiency, and scalability.
  • Publish research findings in top-tier conferences and journals, and contribute to the broader AI research community.
  • Stay current with the latest advancements in AI and machine learning, and apply this knowledge to drive innovation within the company.
  • Mentor junior researchers and engineers, fostering a culture of learning and continuous improvement.

Qualifications:

  • Ph.D. or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  • Strong background in machine learning, deep learning, and natural language processing.
  • Proven experience with Large Language Models (e.g., GPT, BERT, T5) and their applications.
  • Proficiency in programming languages such as Python, and frameworks like TensorFlow or PyTorch.
  • Demonstrated ability to conduct high-quality research, evidenced by publications in top-tier conferences or journals.
  • Excellent problem-solving skills and the ability to work independently and collaboratively in a remote setting.
  • Strong communication skills, with the ability to articulate complex technical concepts to diverse audiences.

Preferred Qualifications:

  • Experience in scaling AI models for real-world applications.
  • Knowledge of data engineering and software development best practices.
  • Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure).
  • Previous experience in mentoring or leading research teams.

What We Offer:

  • Competitive salary and benefits package.
  • Flexible remote working environment across Europe and the United States.
  • Opportunity to work with a talented and diverse team on cutting-edge AI technology.
  • Professional growth and development opportunities, including access to conferences and educational resources.
  • Collaborative and inclusive company culture that values creativity and innovation.

How to Apply:

If you are passionate about generative AI and have a strong track record in LLM research, we would love to hear from you. Please submit your resume, a cover letter detailing your relevant experience, and any pertinent publications or projects.

Equal Opportunity Employer:

We are an equal opportunity employer and welcome applications from all qualified individuals, regardless of race, gender, disability, religion/belief, sexual orientation, or age.

Join us in shaping the future of generative AI!

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