Lead ML Engineer
MachinifySalary not specified
- Full Time
- Senior (5 to 8 years), Mid-level (3 to 4 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Fintech, ManufacturingIndustries
Requirements
Candidates should have practical experience in feature engineering, tree-based models, deep learning, timeseries modeling, and production ML use cases in areas such as fintech and manufacturing. Proficiency in LLM Agents and AutoML is required, along with sufficient software engineering skills to conduct large-scale research experiments and build production prototypes.
Responsibilities
The Machine Learning Engineer will conduct research to automate ML workflows and transform academic research into production-ready solutions. They will partner closely with customers to ensure successful use of the Delphina product and translate customer needs into product features. The role also involves working independently while collaborating with a cross-functional team to shape product direction and drive outcomes.
Skills
Feature Engineering
Feature Search
Tree-based Models
Deep Learning
Timeseries Modeling
Production ML
LLM Agents
AutoML
Software Engineering
Research
Prototype Development
Delphina
Machine learning solutions for data analytics
About Delphina
Delphina.ai provides machine learning and data science solutions that help businesses analyze trends and predict future outcomes. Their technology integrates with platforms like Snowflake and BigQuery, allowing clients to deploy data pipelines efficiently. Delphina operates on a software-as-a-service (SaaS) model, enabling clients to subscribe to access its user-friendly platform for creating unique data transformations. The company's goal is to empower organizations to leverage predictive AI for improved decision-making and operational efficiency.
San Francisco, CaliforniaHeadquarters
2023Year Founded
$7.3MTotal Funding
SEEDCompany Stage
Data & Analytics, AI & Machine LearningIndustries
11-50Employees