MTS, Infrastructure Engineer at Delphina

California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Data & AnalyticsIndustries

Skills

Key technologies and capabilities for this role

PythonRustC++GoJavaCloud DeploymentService-Oriented ArchitectureData Store TechnologiesCI/CDData Orchestration

Questions & Answers

Common questions about this position

What is the salary for this MTS, Infrastructure Engineer position?

This information is not specified in the job description.

What is the location and work arrangement for this role?

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

What skills are required for this Infrastructure Engineer role?

Required skills include proficiency in multiple programming languages like Python, Rust, C++, Go, or Java; knowledge of deploying high availability production systems in the cloud; experience designing service-oriented architectures; understanding of data store technologies; and a growth mindset.

What is the company culture like at Delphina?

This is a key early hire with broad impact on product, technology, and company culture, involving close partnership with the early team on product direction and cross-functional influence.

What makes a strong candidate for this position?

Strong candidates have proficiency in systems programming languages, cloud deployment experience for high availability systems, service-oriented architecture design skills, data store knowledge, and a growth mindset for continuous improvement.

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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