Basis

Research Engineer, Machine Learning

New York, New York, United States

$120,000 – $180,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Data & AnalyticsIndustries

Requirements

Candidates should possess excellent programming and software engineering skills in Julia, Python, C++, and ML-family languages. They must have demonstrated the ability to drive software projects from start to finish, evidenced by open-source projects, technical reports, or publications. A high degree of autonomy and comfort with uncertainty is required, along with a passion for solving real-world problems and making a positive societal impact. Significant technical achievements in ML engineering are essential, such as implementing newly published techniques from scratch and building systems for training large models distributed across many machines. A PhD or equivalent experience is preferred.

Responsibilities

Research engineers at Basis will support the organization's mission by translating research ideas into correct, robust, and scalable high-quality code. They will engage in core areas of machine learning research engineering, including probabilistic programming, deep learning, causal inference, program synthesis, and ML Ops. The role involves working collaboratively with both internal teams and external partners to tackle challenges larger than those they can address alone.

Skills

Julia
Python
C++
Probabilistic Programming
Deep Learning
Causal Inference
Program Synthesis
Program Analysis
ML Ops
Software Engineering
Software Development

Basis

Platform for developing financial applications

About Basis

Basis provides a platform that assists businesses in creating financial applications. The platform includes a variety of tools and integrations that simplify the process of building, testing, and deploying these applications. Clients, which range from financial institutions to fintech startups, can access the platform through a subscription model, paying for its features and support. Basis distinguishes itself from competitors by focusing on streamlining the development process and offering custom solutions tailored to the specific needs of its clients. The company's goal is to empower businesses to innovate and enhance their financial operations through improved application offerings.

Key Metrics

1688 Pine St UNIT E211, San Francisco, CA 94109, USAHeadquarters
2022Year Founded
$6MTotal Funding
SEEDCompany Stage
Enterprise Software, FintechIndustries
1-10Employees

Risks

Emerging fintech startups offer similar tools at lower costs.
Regulatory scrutiny on data privacy may increase compliance costs.
Economic downturns could reduce demand for Basis's services.

Differentiation

Basis provides real-time cash flow profiles for B2B lenders.
The platform integrates data from revenue, accounting, and banking sources.
Basis offers a subscription-based model with premium services and custom solutions.

Upsides

Increased demand for real-time financial data analytics benefits Basis's offerings.
The rise of embedded finance aligns with Basis's focus on lending stacks.
Open banking trends enhance Basis's cash flow profile accuracy.

Land your dream remote job 3x faster with AI