Senior Software Engineer, Machine Learning

The Senior Software Engineer, Machine Learning at Standard Bots is expected to design and implement advanced machine learning models and training pipelines. This involves applying innovative techniques to various robotics applications, developing efficient data strategies, and enhancing model evaluation frameworks. Additionally, you’ll collaborate with the engineering team to optimize training infrastructure, ensuring the seamless deployment of these models.

To qualify as a Senior Software Engineer, Machine Learning at Standard Bots, candidates should have at least 5 years of software engineering experience with a focus on machine learning. A proven track record in developing large-scale ML models and strong knowledge of modern ML architectures and debugging techniques are essential. Familiarity with PyTorch is also required for this role.

Senior Software Engineers specializing in Machine Learning at Standard Bots work with a robust tech stack including PyTorch, Python, NodeJS/Typescript, and Docker. This blend of technologies supports their efforts in innovating and deploying effective machine learning solutions tailored for robotic applications.

No, experience with robotics is not a prerequisite for the Senior Software Engineer, Machine Learning role at Standard Bots. The company is primarily interested in candidates who are passionate about building scalable systems in the AI and robotics space, making this a great opportunity for skilled engineers from varied backgrounds.

At Standard Bots, the salary for a Senior Software Engineer, Machine Learning ranges from $300,000 to $350,000 based on experience. Additionally, employees are eligible for stock options and a comprehensive benefits package, including medical, dental, vision insurance, paid time off, life insurance, disability insurance, and 401(k) plans.

When discussing your experience, highlight specific projects where you've developed or implemented machine learning models. Discuss the challenges faced, your approach to solving them, and the results achieved. This gives interviewers insight into your practical skills and thought process.

Make sure to mention your proficiency with frameworks like PyTorch, as they're critical for the Senior Software Engineer, Machine Learning role at Standard Bots. Also, discussing any side projects where you've utilized these frameworks in novel ways can leave a lasting impression.

In your answer, explain your step-by-step approach to model optimization, including initial evaluation, iterative testing, and adjustment of hyperparameters. Providing specific examples of how this process improved model performance can strengthen your case.

Share specific instances of challenges faced during debugging, such as issues with data quality or model drift. Discuss your methodical approach to troubleshooting and how you ultimately resolved these challenges. This showcases your problem-solving skills.

Describe transfer learning in simple terms and provide examples from your experience where you utilized pre-trained models to improve efficiency or performance in your projects. Highlighting the tangible benefits in terms of time saved or accuracy gained can add weight to your answer.

Discuss techniques you employ for model interpretability such as using SHAP values or LIME. Explain why interpretability is crucial, particularly in robotics applications, and provide any examples where you've successfully implemented these methods.

Share your familiarity with version control systems like Git, and emphasize how you've used these tools to manage changes in data, code, and models. This highlights your organizational skills and understanding of collaborative work environments.

Your answer can include following recent publications, participating in online courses, or attending workshops. Mention any specific resources you rely on, like conferences or journals, to demonstrate your ongoing commitment to learning in this fast-paced field.

Provide an example where you successfully communicated intricate machine learning concepts or results to a non-technical audience, ensuring they understood the implications. This showcases your communication skills, which are crucial for collaboration.

Select a project that had significant challenges and demonstrate your role in overcoming them. Explain the impact it had on your organization or clients, and why it stands out to you personally. This answers helps interviewers evaluate your passion and dedication.