Senior ML Engineer, Applied Machine Learning
Red Cell PartnersSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Labor Marketplace, AI & Machine LearningIndustries
Requirements
Candidates should possess 6-10 years of experience in building machine learning models for business applications, an entrepreneurial mindset with startup and large-scale experience, advanced statistical techniques and concepts, a deep understanding of machine learning techniques, strong communication and presentation skills, expert fluency in Python and SQL, and working knowledge of web/mobile architectures and CI/CD processes. A B.Tech/B.E or BS/B.Sc degree in Math, Statistics, Physics, Computer Science, or a related quantitative field is required.
Responsibilities
The Senior Machine Learning Engineer will design, develop, and implement machine learning algorithms to solve complex problems in real-time scheduling and workforce optimization, collaborate with a US-based team initially, impact key company objectives by refining the product roadmap, build and maintain reports, dashboards, and metrics, gather, clean, and prepare large datasets for machine learning models, build and maintain robust, scalable, and efficient machine learning pipelines, integrate machine learning solutions into production systems, monitor and evaluate model performance, and make continuous improvements.
Skills
Machine Learning
Statistical Techniques
Regression
Distributions
Statistical Tests
Clustering
Decision Tree
Artificial Neural Networks
Python
SQL
Data Pipelines
CI/CD
Data Transformation
DBT
BI Tools
Mode
Tableau
Looker
Instawork
Connects businesses with vetted hourly workers
About Instawork
Instawork connects businesses with over 5 million vetted short-term, seasonal, and temp-to-hire workers through its online platform. It primarily serves companies looking for hourly workers, offering a solution that is more efficient than traditional staffing agencies. The platform features an intelligent matching system that pairs businesses with suitable workers from its extensive database, supported by a rigorous vetting process to ensure reliability. This has led to a high demand for Instawork's workers, with 93% of businesses wanting them to return and a low 2% no-show rate. Businesses can view worker profiles and experience before they pick up shifts, and those looking for full-time employees can also search and hire from the database. Instawork generates revenue by charging businesses for connecting them with workers, and its importance grew during the pandemic, solidifying its market position.
San Francisco, CaliforniaHeadquarters
2015Year Founded
$144MTotal Funding
SERIES_DCompany Stage
Consulting, Consumer SoftwareIndustries
1,001-5,000Employees