Tagup
Machine Learning Engineer
Tagup, Los Angeles, California, United States, 90079
At Tagup, we use machine learning to make the machines that power the world safer, more reliable, and more efficient. As a rapidly scaling AI/ML technology company, we are looking to expand our team.We are looking for skilled engineers who are interested in helping us scale and automate our infrastructure as we expand our customer base and process more data.As a Machine Learning Engineer, you will work closely with our deployment team to provide innovative analytics and software solutions for our customers. Your primary responsibilities will include building and maintaining various stages of our data processing workflow. This involves ingesting raw customer data, fine-tuning and deploying machine learning models, and presenting the results in client-facing web applications.
Responsibilities
Develop and deploy analytic models on industrial dataIntegrate new data sources into our data pipelineBuild and maintain data processing and visualization toolsValidate model performance and quantify value creation potentialCo-author technical reports on data analysis and model performanceCollaborate with customers to identify new data sources and the industrial processes they will support; some customer travel may be requiredDesired Skills
You are highly technical and analytical, with 4+ years of machine learning experienceYou have experience building and managing large pieces of cloud infrastructure as code, using providers such as AWS, Azure, and GCP, with tools such as Chef, Terraform, Puppet, Ansible, CloudFormation, and SaltStackYou possess strong skills in at least one modern programming language, such as Python (preferred), Ruby, JavaScript, or Java.You have experience with at least one type of datastore (MySQL, Postgres, InfluxDB, MongoDB)Bonus Points
Experience with PyTorchFamiliarity with Kubernetes and KubeFlowBackground in time series analysis, Gaussian processes, hidden Markov models, and/or variational inferenceDirect experience working with enterprise customers
$95,000 - $130,000 a year. We offer a competitive salary and benefits package commensurate with experience and qualifications. We are committed to attracting and retaining top talent, and we believe in compensating our employees fairly for their contributions.As a fast-growing technology company, we offer all members of the team part-ownership through an Employee Stock Option Plan. We also offer health insurance benefits, access to the company 401K plan, and encourage a team-oriented work environment with regular company outings!Tagup is an equal opportunity employer and individuals seeking employment with us are considered without regard to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law.Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
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Responsibilities
Develop and deploy analytic models on industrial dataIntegrate new data sources into our data pipelineBuild and maintain data processing and visualization toolsValidate model performance and quantify value creation potentialCo-author technical reports on data analysis and model performanceCollaborate with customers to identify new data sources and the industrial processes they will support; some customer travel may be requiredDesired Skills
You are highly technical and analytical, with 4+ years of machine learning experienceYou have experience building and managing large pieces of cloud infrastructure as code, using providers such as AWS, Azure, and GCP, with tools such as Chef, Terraform, Puppet, Ansible, CloudFormation, and SaltStackYou possess strong skills in at least one modern programming language, such as Python (preferred), Ruby, JavaScript, or Java.You have experience with at least one type of datastore (MySQL, Postgres, InfluxDB, MongoDB)Bonus Points
Experience with PyTorchFamiliarity with Kubernetes and KubeFlowBackground in time series analysis, Gaussian processes, hidden Markov models, and/or variational inferenceDirect experience working with enterprise customers
$95,000 - $130,000 a year. We offer a competitive salary and benefits package commensurate with experience and qualifications. We are committed to attracting and retaining top talent, and we believe in compensating our employees fairly for their contributions.As a fast-growing technology company, we offer all members of the team part-ownership through an Employee Stock Option Plan. We also offer health insurance benefits, access to the company 401K plan, and encourage a team-oriented work environment with regular company outings!Tagup is an equal opportunity employer and individuals seeking employment with us are considered without regard to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law.Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
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