MTS, Applied Scientist at Delphina

California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Fintech, Manufacturing, Artificial IntelligenceIndustries

Skills

Key technologies and capabilities for this role

Feature EngineeringFeature SearchTree-Based ModelsDeep LearningTimeseries ModelingLLM AgentsSoftware EngineeringProduction ML

Questions & Answers

Common questions about this position

What is the work location and remote policy for this role?

The position is based in San Mateo, CA, requiring in-person work 2 days per week with potential for remote options.

What is the salary for this position?

This information is not specified in the job description.

What key skills are required for this Applied Scientist role?

Required skills include experience with feature engineering and feature search, knowledge of tree-based models and deep learning, timeseries modeling, production ML use-cases (especially fintech and manufacturing), LLM Agents, and software engineering proficiency.

What is the company culture like at Delphina?

This information is not specified in the job description.

What makes a strong candidate for this role?

A strong candidate has a proven track record in relevant areas, including feature engineering, tree-based models, deep learning, timeseries modeling, production ML use-cases, LLM Agents, and software engineering skills for research and prototypes.

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

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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