Delphina

MTS, Machine Learning Engineer

California, United States

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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.

Key Metrics

San Francisco, CaliforniaHeadquarters

2023Year Founded

$7.3MTotal Funding

SEEDCompany Stage

Data & Analytics, AI & Machine LearningIndustries

11-50Employees

Benefits

Equity in the company

Medical, dental, and vision insurance

401k

Unlimited Paid Time Off

Top of the line Apple equipment

Free lunch in the office twice a week

Risks

Competition from AI giants like OpenAI and Google threatens market share.

Rapid AI advancements could render Delphina's solutions obsolete without continuous innovation.

Dependence on platforms like Snowflake and BigQuery poses operational risks.

Differentiation

Delphina integrates seamlessly with MLOps platforms like Snowflake and BigQuery.

The platform enables thousands of unique feature transformations from raw data.

Delphina's solutions have improved model performance for clients like Uber and Gopuff.

Upsides

Integration with MLflow and Kubeflow enhances platform flexibility and scalability.

AutoML tools can expand Delphina's customer base to smaller businesses.

Growing demand for explainable AI aligns with Delphina's focus on data transformations.

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