Key Beliefs

• We believe in in-person collaboration, internally and with customers/partners
• We believe meetings are for shaping/ problem solving, not status updates
• We believe in order to win, this is a team sport and hold one-another accountable to a high bar, publicly
• We believe in first principles and a beginner mindset
• We believe in a bias for action and speed
• We believe in doing the hard things and making trade-offs

Benefits + Perks

We value you at and outside of work and know your loved ones are important. Our benefits are designed to support you and your family’s health through life’s expected and unexpected events.

Our Benefits Include:

• Competitive Salary + Stock Options
• Health Care Coverage + Life Insurance (2X Salary)
• 401K Plan with Company match 
• Health Savings Account + Flexible Spending Account
• Flexible Vacation Policy
• Adaptable Working Schedule and Environment

Our Perks Include:

• Casual Dress Attire
• Hybrid work flexibility (2 days work from home)
• Catered Lunches, Snacks and Beverages
• Commuter Transit and Parking Plan
• Company Outings and Happy Hours
• Designated Volunteering Hours + Group Volunteer Events

Sight Machine is proud to be an equal opportunity employer and considers candidates regardless of age, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Sight Machine also considers qualified applicants regardless of criminal histories, consistent with legal requirements.

About Sight Machine, Inc.

Sight Machine strengthens manufacturers by providing the industry’s best manufacturing AI and data platform, and system-level visualization capabilities. Our innovative platform integrates all critical data into a single, intuitive  platform, enabling everyone involved in the fabrication process to visualize, contextualize and analyze information seamlessly. Leveraging 3D technology and AI capabilities allows plant operators and managers to get real-time visibility into their manufacturing lines and AI/ML recommendations help improve production, yield and uptime. 

Sight Machine is committed and mission-driven to improve lives, strengthen communities and make the world cleaner by continuously re-envisioning  and improving manufacturing processes,making them more efficient, sustainable and absolute. Founded in Michigan in 2011 and expanded to San Francisco in 2012, Sight Machine blends the Silicon Valley spirit of technology innovation and the down to earth style of Detroit manufacturing. Together, we bring deep industry expertise and a shared commitment to advancing manufacturing towards a more sustainable future.

At Sight Machine, you will work with manufacturing leaders across industries including food & beverage, consumer packaged goods, automotive, packaging, etc. . You will have access to vast amounts of factory floor data, learn how the products you use every day are made, using that knowledge to uncover insights into how customers manufacture products and develop solutions to critical business challenges. Our platform tackles complex problems, including Extract Transform Load (ETL), information retrieval, data aggregation and analytics, factory automation, distributed computing, security, and is leading the expansion into machine learning, agentic and physical AI applications. 

We place great value on professional, technical, and personal growth in an inclusive, collaborative environment. The ideal candidate is passionate  about technology and brings a strong, can-do attitude.They must be able to work in a highly dynamic environment with a good degree of ambiguity. They believe in the company’s mission and are all-in to make themselves and the company successful.

About the Data Scientist Role

As a Data Scientist, you will sift through massive amounts of factory floor data to uncover insights into how customers make products and develop solutions to pressing business problems for some of the world’s most iconic manufacturers and technology providers, including industry leaders like Microsoft, Siemens, and Databricks.  If you are interested in complex solution-finding, strong communication skills, and ever-deepening subject matter expertise in manufacturing, AI/ML, and cutting-edge technologies, please apply for this position. You will drive sustainability and game-changing results for global leaders in manufacturing and continuously develop your skills as a pioneer in the Data Era. 

Why Join Sight Machine’s Professional Services Team

Our team is a hungry, humble, smart group of data architects, data scientists, data engineers, software developers, and customer engagement managers who work collaboratively to solve some of the most complex challenges facing our manufacturing customers.  We are laser-focused on trusting and empowering each other, working to solve today’s problems (while knowing tomorrow will bring a few more), and getting a little better every day.  

What You'll Do

• Consult with customers to clarify business problems and understand requirements and shape solution design.
• Perform analysis and modeling, selecting and wrangling appropriate data, develop visualizations and applications, and use storytelling to communicate your results.
• Generalize specific customer solutions to develop future product additions in the Sight Machine platform.
• Collaborate with engineering and product teams to add new features and contribute to the development of our data platform
• Train customers on how to get the most out of their analytics 
• Support our sales teams during customer calls and provide the data science "point of view" on how we help customers gain insights from their factory floor data.
• Perform exploratory research on the latest methodologies in data science and predictive analytics, ranging from researching which algorithms may be useful to apply to manufacturing analytics to diving into the latest research on big data architectures

This position requires up to 20%  domestic and international travel to client business and factory sites to meet with clients, drive conversations on data science and AI/ML, and participate in onsite strategy sessions. The frequency of travel will vary based on client commitments.