Machine Learning Engineer, Otter - Los Angeles at Otter

Los Angeles, 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

Food Delivery, Restaurant TechnologyIndustries

Requirements

Advanced degree (PhD or Master) in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field with preferred 3+ years of relevant experience
Deep knowledge and experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc
Working knowledge in one or more of the following: generative AI, data mining, information retrieval, advanced statistics, natural language processing, computer vision, etc
High energy rapid software development, iterating and pivoting quickly
Strong ability to design and create long-lasting architecture from scratch and evolve existing systems
Proficient in Python; Familiarity with Java/Go
Experience with data analysis and visualization
Strong communication and presentation skills

Responsibilities

Leverage cutting-edge machine learning and statistical methodologies, including large language models (LLMs), deep learning, and graph neural networks, to address diverse challenges, including areas such as AI agents, order logistics prediction and optimization, robotics automation, recommendation systems, knowledge graph building and mining, etc
Develop and deploy robust, low-maintenance applied machine learning solutions in a production environment
Create onboarding codelabs, tools, and infrastructure to democratize access to machine learning resources
Work closely with a team to enhance and support technology
Drive innovation within the team and support CSS’ technological advancements

Skills

LLMs

Deep Learning

Graph Neural Networks

Logistic Regression

Gradient Boosting

Machine Learning

Recommendation Systems

Knowledge Graphs

Production Deployment

Otter

Connects parents with vetted babysitters

About Otter

Otter connects parents with qualified babysitters through its online platform, focusing on the childcare industry. The service stands out due to its thorough vetting process for sitters, which includes skills tests, reference checks, and interviews, along with mandatory background checks for both parents and sitters to ensure safety. Parents can book a sitter on short notice, sometimes as little as two hours, making it a convenient option for last-minute childcare needs. The company earns revenue by charging a fee for each booking, which is shared with the sitters, providing them with a flexible income opportunity. With significant backing from prominent venture capital firms, Otter aims to address the demand for reliable childcare services while ensuring a safe environment for families.

San Francisco, CaliforniaHeadquarters

2020Year Founded

$30MTotal Funding

SERIES_ACompany Stage

Social Impact, Consumer GoodsIndustries

1-10Employees

Risks

Increased competition from new platforms offering similar services at lower fees.

Changes in local regulations could increase operational costs and complicate compliance.

Rising concerns about data privacy and security could decrease user trust.

Differentiation

Otter offers a rigorous vetting process for sitters, ensuring safety and reliability.

The platform allows parents to book childcare with as little as two hours' notice.

Otter connects parents with local stay-at-home parents, fostering community-based childcare.

Upsides

Increased demand for flexible childcare solutions due to remote work trends.

Growing interest in last-minute booking options for childcare services.

Venture capital interest indicates strong growth potential for tech-enabled childcare solutions.

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