Senior Machine Learning Engineer

EquipmentShare is Hiring a Senior Machine Learning Engineer

EquipmentShare is searching for a Senior Machine Learning Engineer to join our team. This position is fully remote.

What You’ll Do as a Senior Machine Learning Engineer

Despite having been fundamentally altered by earlier industrial revolutions, the construction industry has hardly budged with the computer revolution. In fact, since 1970, labor productivity in the US construction industry has actually declined, despite it more than doubling in the rest of the economy. This has contributed to housing shortages and the parlous state of infrastructure in some places, and is sanding the gears of carbon reduction efforts.

We think the industry is ripe for change, and we’re pushing the leading edge of that change with our next generation T3 Platform, the OS for Construction. Through T3, we help contractors to coordinate humans and (increasingly smarter) machines to build more effectively.

As a Senior Machine Learning Engineer in our small and quickly growing team, you will play a major role in this effort. In particular, you will:

• Increase the velocity of scientific exploration, experimentation and ML development at EquipmentShare by developing tools that enable full-stack data science.
• Help with build vs buy decisions and integration planning.
• Help shape best practices within the team, along with mentoring and developing junior data platform engineers.

About You as a Senior Machine Learning Engineer

Our mission is to change an entire industry, so we only hire people inspired by the goal and up for the challenge. In turn, our employees have every opportunity to grow with us, achieve personal and professional success and enjoy making a tangible difference in a crucial industry for human welfare.

Minimum Qualifications for a Senior Machine Learning Engineer

• Graduate degree, or equivalent practical experience, in computer science, machine learning, software engineering or related field
• 5+ years working on technology-powered products as either a data platform engineer, data engineer, ML engineer or a closely related role
• Demonstrated knowledge and experience in building a modern data science, experimentation and machine learning technology stack for a data-driven company
• Demonstrated expertise in Python
• Proven experience building durable infrastructure on AWS
• Experience with Snowflake is preferred, but not required
• Experience with Kubernetes, Airflow and dbt is preferred, but not required
• Must be qualified to work in the United States or the United Kingdom - we are not sponsoring any candidates at this time 

Why We’re a Better Place to Work

• Competitive compensation packages 
• 401 (k) and company match
• Health insurance and medical coverage benefits
• Unlimited paid time off
• Generous paid parental leave
• Volunteering and local charity initiatives that help you nurture and grow the communities you call home
• Opportunities for career and professional development with conferences, events, seminars, continued education
• State of the art onsite gym (Corporate HQ)/Gym stipend for remote employees

Since our incorporation in 2015, we’ve had incredible growth — and we’re not stopping anytime soon. Ready to invest in our mission, invest in yourself and discover a better place to work? Then, we’d love to meet you.

At EquipmentShare, it’s more than just a job — it’s a calling. Apply today. 

EquipmentShare is committed to a diverse and inclusive workplace. EquipmentShare is an equal opportunity
employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation,
protected veteran status, disability, age, or other legally protected status.

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Last updated on Oct 24, 2023