Team Culture

Great things happen when people can bring their authentic selves to work. We empower all of our employees to share their perspectives, passions and experiences because collectively we make a better, stronger team. Our team members collaborate closely with peers & cross functional stakeholders throughout the business, our clients on the forefront of digital transformation, and the cutting edge of digital manufacturing thought leadership.

We take pride in our self-starter culture where employees are enabled and encouraged to achieve their professional goals through leadership guidance, learning and development. Our philosophy is that careers are continuous journeys, and we dedicate time and offer resources so that employees can reach their full potential.

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 + Health Savings Account + Flexible Spending
• Account (includes spouse + children)
• Flexible Vacation Policy
• Adaptable Working Schedule and Environment
• Our Perks Include:
• Casual Dress Attire
• Hybrid work flexibility
• Catered Lunches, Snacks and Beverages
• Commuter Savings Program
• Company Outings
• 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 only standard data model and system-level visualization capabilities. By integrating all crucial data into a single innovative platform, everyone involved in the fabrication process can visualize, contextualize and examine data in one intuitive interface.

Sight Machine is committed and mission-driven to improve lives, strengthen communities and make the world cleaner through continuously re-envisioning 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 spirit of technology innovation and the down to earth style of Detroit manufacturing. Our team includes early leadership from Yahoo, Tesla Motors and Oracle. Together, we share wide industry knowledge and a commitment to advance manufacturing to a more sustainable future.

At Sight Machine, you will work with manufacturing leaders in the automotive, medical device, apparel, construction, and pharmaceutical industries. You will have access to, and work with massive amounts of factory floor data to help uncover insights on how customers make products and develop solutions to pressing business problems. The platform solves problems like Extract Transform Load (ETL), information retrieval, data aggregation and analytics, factory automation, distributed computing, and security.

We place great value on professional, technical, and personal growth in an inclusive, collaborative environment. The ideal candidate will have a passion for technology and a strong can-do attitude.

About the role

For this position you will join our existing engineering team in our San Francisco office. You will work with a geographically diverse team with engineers in Ann Arbor, Mountain View and San Francisco (including the original technical team of Slashdot.org).

You will be working on the server-side design and code for our data stores, platforms, systems, and web applications, as well as internal systems to manage our services. The daily focus is on productivity, features and delivering results, while ensuring customer satisfaction, performance, and reliability of our platform.

We seek an individual with a deep CS background and experience that includes development of high-availability online services. Candidates should have a passion for solving complex and interesting problems. Our backend systems solve problems from just about every area of computer science, including ETL, information retrieval, machine learning, factory automation, distributed computing, large-scale system design, networking, security, data compression, big data, etc. We are dealing with an extremely large amount of data, so we are looking for expertise working in large enterprise systems with an eye on scalability and reliability.

Qualifications

• Self starter and quick learner, with a demonstrated ability to deliver results in a fast paced startup environment
• At least 4-6 years industry experience building and delivering robust high-performance and scalable systems.
• Extensive knowledge of Unix/Linux
• Experience with Python and another high-level programming language
• Experience with relational databases & NoSQL preferred (ie. Mongo, Postgres)
• Competent troubleshooting skills
• Team Collaboration is a must

Nice to have:

• Experience with Amazon/Azure Infrastructure services a plus
• Experience with ETL
• Familiar with statistic technologies like R a plus
• Strong competencies in data structures, algorithms, scalability, and fault-tolerance
• Excellent communications skills