Standard AI
Principal Machine Learning Engineer
Standard AI, San Francisco, California, United States, 94199
[Full Time] Principal Machine Learning Engineer at Standard AI (United States)Principal Machine Learning Engineer
Standard AI United StatesDate Posted: 18 Jan, 2023Work Location: San Francisco, United StatesSalary Offered: Not SpecifiedJob Type: Full TimeExperience Required: 6+ yearsRemote Work: YesVacancies: 1 availableAt Standard AI, we’re revolutionizing the way the world shops. By replacing cash registers with computer vision-powered checkout, we’re creating a frictionless experience for shoppers. Since launching in 2017, we have contracts with multiple global retailers and are deploying our Standard Checkout solution across thousands of stores globally.As a successful MLE at Standard, you will design and build high-quality production inference systems that drive key impacts to our core business. All our ML Engineers contribute to the full life cycle of model development, from cross-functional data set acquisition to training pipelines, model design, and scaling out model serving and monitoring.As a principal engineer, you will help set the standard for how we do machine learning at Standard and will have a front seat at designing our technical roadmap.What you'll do here:
Contribute to the end-to-end development of state-of-the-art machine learning systems.Solve modeling problems at the cutting edge of production machine learning.Mentor ML project teams, providing guidance on approach, model design, and production best practices.Work cross-functionally with operation teams in data creation and labeling.Design and deploy monitoring, profiling, and instrumentation for the models you work on.Build data processing pipelines, training pipelines, and hard example mining systems from production data streams.Your skillset:
4+ years of experience building production ML or CV systems.6+ years of total engineering experience or 4+ years with a PhD in CS/Math/Physics.Proficient in Python.Proficient in at least one systems language such as Rust, C++, or Java.Experience with cloud build, deployment, and orchestration tools.Experience with MLOps tools such as MLFlow, KubeFlow, Airflow, or Dataflow.Strong communication skills and ability to work cross-functionally.Problem-solving skills in a flexible manner.Passionate about the entire ML lifecycle.Only meet some of these traits or experiences? We'd still love to hear from you!Why you might want to work with us:
Health, vision, and dental insurance.401k contribution options.Work on a product that will impact consumers globally.Remote first company culture.Casual dress code.Culture of learning and skill development.Flexible work schedules.Family-friendly policies.Competitive compensation, including equity in Standard.Standard provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression.About Standard AI
AI-powered checkout for retail.Company Size:
51 - 250 PeopleYear Founded:
2017Country:
United StatesCompany Status:
Actively Hiring
#J-18808-Ljbffr
Standard AI United StatesDate Posted: 18 Jan, 2023Work Location: San Francisco, United StatesSalary Offered: Not SpecifiedJob Type: Full TimeExperience Required: 6+ yearsRemote Work: YesVacancies: 1 availableAt Standard AI, we’re revolutionizing the way the world shops. By replacing cash registers with computer vision-powered checkout, we’re creating a frictionless experience for shoppers. Since launching in 2017, we have contracts with multiple global retailers and are deploying our Standard Checkout solution across thousands of stores globally.As a successful MLE at Standard, you will design and build high-quality production inference systems that drive key impacts to our core business. All our ML Engineers contribute to the full life cycle of model development, from cross-functional data set acquisition to training pipelines, model design, and scaling out model serving and monitoring.As a principal engineer, you will help set the standard for how we do machine learning at Standard and will have a front seat at designing our technical roadmap.What you'll do here:
Contribute to the end-to-end development of state-of-the-art machine learning systems.Solve modeling problems at the cutting edge of production machine learning.Mentor ML project teams, providing guidance on approach, model design, and production best practices.Work cross-functionally with operation teams in data creation and labeling.Design and deploy monitoring, profiling, and instrumentation for the models you work on.Build data processing pipelines, training pipelines, and hard example mining systems from production data streams.Your skillset:
4+ years of experience building production ML or CV systems.6+ years of total engineering experience or 4+ years with a PhD in CS/Math/Physics.Proficient in Python.Proficient in at least one systems language such as Rust, C++, or Java.Experience with cloud build, deployment, and orchestration tools.Experience with MLOps tools such as MLFlow, KubeFlow, Airflow, or Dataflow.Strong communication skills and ability to work cross-functionally.Problem-solving skills in a flexible manner.Passionate about the entire ML lifecycle.Only meet some of these traits or experiences? We'd still love to hear from you!Why you might want to work with us:
Health, vision, and dental insurance.401k contribution options.Work on a product that will impact consumers globally.Remote first company culture.Casual dress code.Culture of learning and skill development.Flexible work schedules.Family-friendly policies.Competitive compensation, including equity in Standard.Standard provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression.About Standard AI
AI-powered checkout for retail.Company Size:
51 - 250 PeopleYear Founded:
2017Country:
United StatesCompany Status:
Actively Hiring
#J-18808-Ljbffr