Job Description

My client is changing the way cities maintain their infrastructure by automating inspection processes and providing unmatched data insights. We are looking for a machine learning engineer to join our team who wants to work on our entire machine learning pipeline that helps my client deliver real-time insights to cities around the world and to ourselves.

Preferred Qualifications

• A Master’s or PhD in a quantitative field or equivalent work experience
• 3+ years of experience building and deploying machine learning models and data products in production environments
• Experience delivering data products based on tabular and time series datasets
• Strong knowledge of machine learning techniques and tools, with experience in both classical methods and modern approaches (gradient boosted trees, neural networks)
• Expert-level knowledge of statistics, both descriptive and inferential, with a strong foundation in Bayesian inference and probabilistic modeling techniques
• Skilled practitioner of the Python data science stack (NumPy, SciPy, Pandas, Jupyter, etc.), along with strong SQL skills
• Data visualization experience
• Focus on creating robust data pipelines and ensuring accurate results are delivered
• Strong verbal and written skills, with the ability to convey complex data models to non-technical audiences
• Willingness to learn
• Domain knowledge in infrastructure or asset management is a plus
• Experience with cloud-based distributed training/inference management and orchestration
• Familiarity with OLAP databases and real-time analytics

About the Job

We are looking for a machine learning engineer to help us evolve our insights beyond single inspections to entire asset systems. Machine learning is a rapidly evolving field, and working in AI requires constant learning and exploration. We need someone ready to dive into the messy jungle of real-world data, with all its noise, inconsistencies, and variation. You'll be working at the forefront of machine learning to solve novel problems and create robust production systems.

Working alongside the AI and Product teams, you will:

• Collaborate to develop requirements and understand the problem domain
• Collect, clean, and pipeline data, creating and analyzing key features
• Build and test machine learning models
• Manage the ML pipeline
• Participate in an agile development process
• Have the opportunity to work on the entire technology stack

Why Join?

My client is applying AI to a massive infrastructure challenge. Most people aren't aware, but aging sewer infrastructure is leading to significant leaks and overflows, posing environmental and public health risks.

We are revolutionizing this antiquated industry by automating the labor-intensive process of labeling cracks, roots, and grease in pipeline inspection videos.

As a 5-year-old, Series B-funded startup with a large and growing client base, we are looking to expand our product offerings and continue their rapid growth.

Location

This is a hybrid position, with attendance expected in our Walnut Creek, CA office at least two days per week.

Salary & Perks

• Tools you need to get the job done
• Competitive salary and potential equity-based remuneration
• Unlimited PTO
• Budget for courses, books, and conferences – your development is important to us

Keywords:

AI, Machine Learning, Statistics, Time Series, Tabular Data, Python, SciPy, Data Science

Pay range: $160,000 - $170,000 per year (Walnut Creek, CA)

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