Search for Principal Machine Learning Engineer roles in the United States or Canada, specifically focusing on remote opportunities, requiring 5+ years of experience, involving deep learning and large language models, and with competitive salaries over $146,900.

Okay, I've searched for Principal Machine Learning Engineer roles in the United States or Canada for remote opportunities. These positions require at least 5 years of experience and involve deep learning and large language models, with competitive salaries starting above $146,900. I've found 75 positions that match your criteria.

Principal Machine Learning Engineer

United States or Canada

Remote

5 years + Experience

$146900+

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

Sure. Here's the analysis:

Job Analysis:

The Principal Machine Learning Engineer (MLE) role at Autodesk is fundamentally designed to leverage machine learning technologies to enhance the customer experience across Sales, Marketing, and Customer Success functions. The individual in this position will be expected to not only design and implement machine learning capabilities, particularly focusing on a generative AI-driven chatbot, but also to engage deeply with stakeholders to ensure alignment between technical capabilities and business objectives. This requires a collaborative approach to problem-solving, wherein the MLE must translate complex business needs into actionable data-driven solutions. The ability to mentor junior engineers while improving team processes reflects a dual focus on technical excellence and team leadership, implying a high level of autonomy and expectation for proactive contribution to team dynamics. Success in this role will be defined not just by the efficacy of the algorithms developed, but also by how well the engineer can navigate complex inter-departmental relationships and deliver solutions that resonate with customer pain points and business goals.

Company Analysis:

Autodesk stands as a leader in creating software solutions that empower innovators to redefine how products and environments are designed and developed. The company's commitment to integrating advanced technology with a focus on user experience positions it as a forward-thinking player in the tech landscape, particularly in sectors like construction, manufacturing, and entertainment. The culture at Autodesk, as reflected in their Culture Code, promotes authenticity, collaboration, and individual growth, fostering an inclusive environment that stimulates creativity and allows employees to thrive. For the Principal MLE role, this means working in a supportive atmosphere where contributions to innovative machine learning solutions are recognized and encouraged. The role supports Autodesk's strategic direction toward enhancing their e-commerce and customer support platforms, indicative of a broader goal centered on improving customer engagement and operational efficiency, thereby aligning personal success with organizational success.

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 translate a complex technical problem into a solution for non-technical stakeholders.
Describe a situation where you had to mentor a less experienced team member. What approach did you take?
Can you give an example of a project where you successfully collaborated with cross-functional teams? What challenges did you face, and how did you overcome them?
How would you handle a situation where your proposed machine learning solution is met with skepticism from a stakeholder group?
What are the key metrics you would analyze when assessing the efficacy of a chatbot implementation?
How would you approach designing a machine learning model for an interactive dialog system?
What steps would you take to fine-tune a large language model for a customer-focused application?
Imagine there is an unexpected drop in the performance of a deployed ML model. What would be your first steps to troubleshoot the issue?
Why are you interested in working at Autodesk specifically, and how do you see your skills aligning with our mission?
How do you prioritize your workload when managing multiple machine learning projects with different stakeholders and timelines?
What ML trends do you think will be most impactful in the next few years, particularly in customer engagement scenarios?
What do you find most challenging about building and deploying machine learning systems at scale?
What personal development goals would you pursue if you were to join Autodesk?
What questions do you have about Autodesk’s approach to diversity and inclusion in the workplace?
How do you see the role of machine learning evolving in supporting Customer Success functions in the tech industry?

Job Details

Overview Company

Principal Machine Learning Engineer

$146.9k/y-$237.6k/y

Lensa

3 days ago

Highlight

RemoteFull-time5+ yearsSenior

Summary

Autodesk is seeking a Principal Machine Learning Engineer to join their team in the US or Canada, either hybrid or remote. The role involves designing, analyzing, and delivering data-driven solutions to significant business challenges.

About the Role

As a Principal ML Engineer, you will be responsible for designing and implementing Machine Learning capabilities to improve Autodesk’s eCommerce & Customer platforms, especially the Commerce & Support Assistant. You will develop a program of work, coordinate with partners and stakeholders, translate business requirements into solvable problems, perform statistical and data analysis, collaborate with team members, and lead and mentor junior team members.

About You

Required:

MS or PhD in Computer Science, Statistics, Engineering, Economics, or related field.
5+ years of applicable work experience.
Knowledge of experimental design and analysis of results.
Experience with applying Machine Learning, including both Deep Learning (PyTorch) and Classical ML (Scikit-Learn).
Experience in production with Large Language Models, especially in interactive dialog systems and chatbots.
Ability to work with cross-functional teams and manage stakeholders.
Familiarity with Fine-tuning Large Language Models.
SQL and experience with big data technology such as Hive, Presto, Glue, (Py)Spark, or Athena.
Proficiency with the Python Data Science stack.
Experience deploying systems that use NLP such as Information Retrieval or Recommender Systems.
Advanced software engineering skills including data structures and algorithms.
Experience with data pipelines and model serving in AWS.
Experience with MLOps, especially on AWS, at scale.

Benefits

Competitive compensation with a starting base salary between $146.9k–$237.6k.
Annual cash bonuses, commissions for sales roles, stock grants.
Comprehensive benefits package including health and financial benefits.
Supportive and collaborative team culture.
Opportunities for personal development and knowledge sharing.

Lensa

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Springfield, IL