Search for Senior Machine Learning Engineer roles in Mountain View, CA, with a salary of at least $185,000, focusing on companies working with AI and ML technologies, requiring 5+ years of experience, and needing proficiency in Python and frameworks like PyTorch.

Okay, I've searched for Senior Machine Learning Engineer roles in Mountain View, CA, with a salary expectation starting at $185,000. I found several positions in companies focused on AI and ML technologies that require 5+ years of experience and proficiency in Python along with frameworks like PyTorch. You can review them now.

Senior Machine Learning Engineer

Mountain View, CA

$185000+

AI/ML Technologies

5 years + Experience

Python

PyTorch

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Senior Machine Learning Engineer at Otter.ai is fundamentally tasked with developing and deploying advanced AI technology that enhances the value of meetings through machine learning systems. Success in this role hinges on not just technical proficiency but also the ability to translate complex algorithms and research into functional and reliable applications that can improve user productivity. Responsibilities include building and optimizing sophisticated ASR, NLP, and LLM pipelines, which signifies a deep engagement with cutting-edge technology and real-time application. Candidates will need to navigate challenges such as ensuring system reliability and scalability while collaborating with diverse teams. The role demands a strong problem-solving mindset, especially when operationalizing experimental models and addressing performance bottlenecks, to ensure that Otter's offerings remain competitive and innovative.

Company Analysis:

Otter.ai occupies a critical position in the burgeoning field of AI-driven productivity tools, establishing itself as a leader in meeting transcription and summarization. This market leadership translates into a unique role for the Senior Machine Learning Engineer, where their contributions directly influence the company’s mission to enhance communication and collaboration in the modern workplace. The culture at Otter.ai is likely fast-paced and innovation-driven given its roots in advanced technology and its backing by notable investors. This environment demands agility and a strong collaborative spirit, as the role involves frequent interactions with product, infrastructure engineers, and data scientists. The strategic alignment of this position reflects Otter’s focus on continuous improvement and operational excellence, suggesting that this is not merely an expansion role but rather a critical hire that will drive the company’s growth in AI capabilities and user engagement.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to optimize a machine learning model for production use. What challenges did you face and how did you overcome them?
Can you explain your experience with deploying large language models? What specific frameworks did you use?
Describe a project where you collaborated with cross-functional teams (like product managers or engineers) to implement an AI solution. What was your role and what was the outcome?
Have you ever had to troubleshoot a production ML system? What methodical steps did you take to identify and resolve the issues?
How would you approach scaling an ASR or NLP system in a cloud environment? What factors would you consider?
What tools do you prefer for monitoring and evaluating ML model performance, and why?
Imagine you are given a new large dataset to work with for a model training task. What steps would you take to preprocess this data effectively?
Suppose a key feature you’re working on is consistently underperforming. What process would you follow to identify the root cause and improve the feature?
Why are you interested in working at Otter.ai specifically, and how do you see your skills aligning with our mission?
How does your view on the future of AI in workplace collaboration align with our company’s direction?
What excites you most about the potential of generative AI technologies in enhancing productivity tools like Otter.ai?
What do you think sets Otter.ai apart from its competitors in the AI meeting agent space?
If you had the opportunity to suggest a new feature for Otter.ai based on current AI trends, what would it be and why?
Can you share an example of how you have mentored junior engineers in your previous roles? What approach did you take?
What questions do you have about Otter.ai's future directions or the team you would be working with?

Job Details

Overview Company

Senior Machine Learning Engineer

$185k/y-$242k/y

Otter.ai

2 months ago

Highlight

HybridFull-time5+ yearsSenior

Summary

Otter.ai is seeking a Senior Machine Learning Engineer to join their team in Mountain View, CA. The role involves building and deploying cutting-edge AI technology to enhance meeting and conversation experiences.

About the Role

As a Senior Machine Learning Engineer, you will build, optimize, and deploy robust SID/ASR/NLP/LLM pipelines powering summarization, chat, and other core product experiences. You will implement and scale training, fine-tuning, and inference for large language models using PyTorch or JAX. Collaborate with research scientists to operationalize experimental models and ensure the reliability, latency, and scalability of AI-based systems. Contribute to model monitoring, evaluation, and continuous improvement efforts using real-world conversational data. Develop tools, infrastructure, and data pipelines for automated training, evaluation, and deployment of ML models in a cloud environment.

About You

Required:

Bachelor's or Master's degree in Computer Science or a related field.
5 years of relevant industry experience.
Hands-on experience building ML models and fine-tuning/post-training LLMs or other foundation models.
Deep understanding of state-of-the-art ML models and current research landscape.
Ability to deploy, monitor, and maintain ML models in production environments.
Proficiency in Python and core ML frameworks such as PyTorch, Tensorflow, Jax.
Experience working with large datasets and performing data preprocessing and feature engineering.
Experience working end-to-end with product/infra engineers, data scientists, and PMs.
Experience leading projects and mentoring junior engineers.

Preferred:

Experience with scaling large ML systems.
Significant experience with ASR/TTS or sequence-based NLP tasks such as summarization.

Otter.ai

With over 1 billion meetings processed, Otter.ai is the leading AI meeting agent empowering businesses to unlock the value of their meetings. With its advanced Gen AI technology, Otter.ai provides real-time notes, voice-activated agents that participate in meetings, summaries, action items, customized insights and content so that professionals are more productive and can collaborate with their teams more effectively.

Mountain View, CA