October 14
πΊπΈ United States β Remote
π΅ $116.8k - $216.2k / year
β° Full Time
π‘ Mid-level
π Senior
π€ Machine Learning Engineer
β’ Manages the design, development, and maintains scalable software solutions utilizing statistical, AI, and ML modeling approaches. β’ Performs research and testing to develop machine learning algorithms and predictive models. β’ Utilizes big data computation and storage tools to create prototypes and datasets. β’ Conducts model training and evaluation. β’ Integrates, tests, tunes, and monitors solutions. β’ Accomplishes the above by leading a team of machine learning engineers. β’ Collaborate with multiple partner teams to develop use cases and to deploy solutions into production. β’ Communicate advanced ML/AI concepts to senior leadership to facilitate decision making. β’ Supports maintenance of existing models and meeting service levels. β’ Works cross functionally with product managers, data scientists, and engineers to understand, implement, refine, and design machine learning and other algorithms. β’ Maintains knowledge of new learning approaches, technology, and tools through continuous research. β’ Drives innovative ideas and act as one of the thought leaders in identifying and selecting use cases for applicability of machine learning. β’ Manages the hiring and training of new and existing staff.
β’ Requires a Bachelor's degree and 5+ years of related experience. β’ Knowledge of Statistical analysis. β’ Knowledge of Building predictive models. β’ Knowledge of Agile software development approaches such as Scrum. β’ Experience in leading engineers through technical impediments and production support. β’ Experience with compute clouds, creating database schemas, Linux administration, continuous integration/continuous deployment, SQL, creating and consuming REST APIs. β’ Experience building ML/AI models using common methods within R and Python. β’ Ability to lead/manage others. β’ Collaboration and team building skills. β’ Ability to communicate and make recommendations to upper management. β’ Effective conflict management skills. β’ Develops and delivers effective presentations.
β’ competitive pay β’ health insurance β’ 401K and stock purchase plans β’ tuition reimbursement β’ paid time off plus holidays β’ flexible approach to work with remote, hybrid, field or office work schedules
Apply NowOctober 11
51 - 200
Educate ML practitioners about optimizing training and inference workloads at Hugging Face.
October 10
1001 - 5000
Develop machine learning solutions at Tiger Analytics, consulting with Fortune 500 companies.
October 9
11 - 50
Build efficient ML pipelines for Halcyon's anti-ransomware solution.
October 9
501 - 1000
Develop software for data-driven perception simulation in autonomous trucking.
October 4
51 - 200
Design and deploy ML models at Alto Pharmacy to enhance customer outcomes.