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Post-training Researcher/Engineer

The post-training team at xAI focuses on transforming powerful pre-trained models for real-world challenges, enhancing AI systems that understand the universe and create new knowledge. They are seeking an expert in ML and large language models.

Skills

  • Machine Learning
  • Data Collection
  • Reinforcement Learning
  • Python
  • Jax
  • Rust

Responsibilities

  • Creating and driving research agenda to advance model quality
  • Improving data mixtures by building data collection pipelines
  • Creating generalizable reward models
  • Designing and implementing robust model evaluations
  • Collaborating with various teams to enhance model capabilities

Education

  • Advanced degree in a relevant field (preferred)

Benefits

  • Collaborative work environment
  • Opportunity for significant impact in AI advancement
To read the complete job description, please click on the ‘Apply’ button

Average salary estimate

$310000 / YEARLY (est.)
min
max
$180000K
$440000K

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 Post-training Researcher/Engineer, xAI

At xAI, we are on a mission to redefine the potential of artificial intelligence, and we’re excited to welcome a Post-training Researcher/Engineer to our innovative team in the Bay Area. In this role, you’ll play a crucial part in transforming our pre-trained models into agile, instruction-following systems capable of tackling real-world challenges. Your talents will contribute to advancing model quality through creating and driving research agendas, enhancing data mixtures, and collaborating with various teams to push the boundaries of AI capabilities. You’ll employ your expertise in machine learning and large language models to develop data collection pipelines, novel reinforcement learning algorithms, and robust evaluation techniques. Moreover, you'll design large-scale model training frameworks to support our initiatives. If you have a proven track record in AI research and a passion for leveraging advanced reinforcement learning techniques, then you’ll fit right in. Located in the vibrant tech hubs of San Francisco and Palo Alto, this role not only offers a competitive salary ranging from $180,000 to $440,000 USD but also an enriching environment dedicated to scientific progress. Join us at xAI where together we create advanced AI systems that can understand the universe and learn from their experiences. Your journey begins here!

Frequently Asked Questions (FAQs) for Post-training Researcher/Engineer Role at xAI
What are the responsibilities of a Post-training Researcher/Engineer at xAI?

As a Post-training Researcher/Engineer at xAI, your main responsibilities include enhancing the instruction-following capability of models, driving research agendas to improve model quality, and collaborating with various teams on AI projects. You will also work on building data collection pipelines, developing advanced reinforcement learning algorithms, and designing robust model evaluations, playing a pivotal role in transforming our pre-trained models.

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What qualifications are needed for the Post-training Researcher/Engineer position at xAI?

To qualify for the Post-training Researcher/Engineer role at xAI, candidates should have expertise in machine learning and experience with large language models. A solid track record in impactful AI research, experience in advanced reinforcement learning, and skills in building large-scale distributed machine learning systems are essential. Familiarity with frameworks for model optimizations in complex setups will also be advantageous.

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Where is the Post-training Researcher/Engineer role located?

The Post-training Researcher/Engineer position is based in the Bay Area, specifically in San Francisco and Palo Alto, CA. Candidates are expected to be located nearby or open to relocation, as many of our collaborative projects occur in this vibrant tech environment.

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What is the interview process like for the Post-training Researcher/Engineer position at xAI?

The interview process for the Post-training Researcher/Engineer role at xAI begins with a review of your application and exceptional work statement. Successful candidates will then engage in a brief phone interview, followed by a series of four technical interviews, including coding assessments and specialized post-training problem-solving sessions, culminating in a presentation of your past work to the team.

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What is the salary range for the Post-training Researcher/Engineer role at xAI?

The Post-training Researcher/Engineer position at xAI offers an annual salary range of $180,000 to $440,000. This competitive compensation reflects the advanced skill set and experience required for this pivotal role in our innovative team.

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Common Interview Questions for Post-training Researcher/Engineer
Can you explain your experience with large language models?

When responding to this question, highlight your specific experiences with large language models, detailing any projects where you successfully implemented, fine-tuned, or enhanced their capabilities. Discuss the challenges faced and the methods used to overcome them.

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What data generation techniques have you employed in your past projects?

In your answer, outline the different data generation techniques you've used, providing examples of projects where you implemented these strategies. Explain how these techniques contributed to the overall success of the model development.

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How do you approach building a research agenda in AI fields?

Describe your systematic approach to creating a research agenda, including how you identify key areas of focus, set priorities, and integrate feedback from team collaborations. Mention any specific frameworks or methodologies you find effective.

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What are some challenges you’ve encountered with reinforcement learning?

Share specific challenges you've faced while working with reinforcement learning. Discuss the situations, your approaches for mitigating those challenges, and the outcomes. Emphasize any learning experiences from these situations.

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Can you describe a time when you had to collaborate with multiple teams?

Provide an example of a project where collaboration was essential for success. Mention how you facilitated communication and cooperation among teams, and highlight any tools or strategies used that led to a productive outcome.

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What strategies do you use for model evaluation?

Discuss the various strategies for evaluating machine learning models that you have used. Highlight specific metrics, methodologies, and tools you prefer, and explain how they help you assess model performance effectively.

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How do you stay updated on advancements in AI and ML technologies?

Share your strategies for keeping up with the rapid advancements in AI and ML. This could include attending conferences, following influential researchers, engaging with online communities, or participating in workshops and continuing education.

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What programming languages and frameworks are you proficient in?

List the programming languages and frameworks you are proficient in, emphasizing your experience with Python, JAX, Rust, and any others relevant to the role. Provide examples of projects where you utilized these technologies.

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How do you handle complex optimizations in model design?

Describe your approach to tackling complex optimizations. Discuss techniques you've employed in previous roles, such as hyperparameter tuning or adversarial training, and elaborate on the outcomes or improvements achieved.

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Why do you want to join xAI as a Post-training Researcher/Engineer?

In answering this question, articulate your passion for AI and the specific mission of xAI. Discuss how your skills and experiences align with the role and how you envision contributing to ongoing projects and the overall vision of the company.

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MATCH
Calculating your matching score...
FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
No info
LOCATION
No info
SALARY RANGE
$180,000/yr - $440,000/yr
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
December 28, 2024

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