Robotics Engineer

Turing·Remote(Remote - Global)·Work From Anywhere

Software Development

WFA Digital Insight

As remote work continues to redefine the job market, demand for specialized engineers like robotics engineers has skyrocketed. With a growth rate of over 25% in the last year alone, professionals with expertise in training foundation models for robotics are highly sought after. Turing, a leader in frontier AI labs, is looking for a skilled Robotics Engineer to bridge the gap between data collection and customer model performance. Candidates should be aware that a strong background in dataset design and model evaluation is crucial for success in this role. Given the current market context, where companies like Turing are pushing the boundaries of AI innovation, this role offers a unique chance for professionals to be part of something groundbreaking.

Job Description

About the Role

The role of a Robotics Engineer at Turing is multifaceted and pivotal. As a member of the team building the data layer for Physical AI, the successful candidate will be responsible for designing high-value, off-the-shelf datasets that solve real-world problems in robotics. This involves working closely with data collection teams and customers to understand their needs and provide tailored solutions. The role entails a deep understanding of why models succeed or fail in real-world scenarios and leveraging that knowledge to create datasets that improve model performance.

Turing is at the forefront of AI innovation, and this role is a critical part of that effort. The company's mission to accelerate frontier research and integrate AI into mission-critical workflows requires talented individuals who can bridge the gap between technology and practical application. As a Robotics Engineer, the candidate will be part of a team that is shaping the future of AI and robotics.

The role is remote, with travel required both within the US and internationally, offering a unique blend of flexibility and the opportunity to work with global teams. The candidate will act as a technical authority, partnering with the sales team to translate customer pain points into well-defined data solutions. This requires strong communication skills, the ability to understand customer needs, and the technical expertise to design effective solutions.

What You Will Do

Design specifications for high-value dataset products that address specific customer pain points.
Partner with the sales team to understand customer needs and provide technical solutions.
Define what constitutes high-quality data for model learning, moving beyond basic QA to semantic QA.
Establish workflows to train and fine-tune open-source Robotics Foundation Models on Turing's data.
Empirically prove that Turing's data improves model performance through rigorous testing and evaluation.
Develop automated workflows to analyze model performance gaps and identify areas for improvement.
Collaborate with data collection teams to ensure that the right data is being captured.
Build and lead a "Benchmarking & Optimization" business unit to evaluate, diagnose, and improve the performance of customers' robotics foundational models.
Act as a bridge between data collection teams and customers, ensuring that datasets meet customer needs and improve model performance.

What We Are Looking For

First-hand experience training foundation models for robotics.
Strong understanding of why models succeed or fail in the real world and how to design datasets to improve model performance.
Experience in designing and implementing high-value, off-the-shelf datasets for robotics applications.
Ability to work independently and as part of a remote team.
Excellent communication and problem-solving skills.
Experience with open-source Robotics Foundation Models.
Knowledge of data quality metrics beyond basic QA.
Ability to travel both within the US and internationally.
Strong technical background in robotics and AI.
Experience in leading or contributing to the development of new business units or products.

Nice to Have

Experience with cloud-based data platforms and tools.
Knowledge of agile development methodologies.
Certification in data science or a related field.
Experience with DevOps practices and tools.
Familiarity with regulatory compliance in data and AI.

Benefits and Perks

Competitive salary and benefits package.
Opportunity to work with a leading company in AI innovation.
Flexible, remote work arrangement with international travel opportunities.
Access to cutting-edge technology and tools.
Professional development opportunities, including training and conference attendance.
Comprehensive health insurance and wellness programs.
Generous PTO policy and holidays.
Equity options for long-term growth and investment.

How to Stand Out

To stand out, highlight specific projects where you've improved model performance through dataset design.
Showcase your ability to communicate technical ideas to non-technical stakeholders.
Be prepared to discuss your experience with open-source Robotics Foundation Models and how you've used them.
Emphasize your understanding of data quality metrics and how you ensure high-quality data for model learning.
Prepare examples of times when you've worked remotely and managed international travel for work.
When discussing salary, be prepared to talk about your expectations based on industry standards and your unique skill set.
Watch for red flags such as lack of clear communication about the role, unrealistic expectations, or insufficient resources for remote work.

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