Machine Learning Engineer, Otter - Mountain View at Otter

Mountain View, 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 or 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
Collaborative Teamwork: Work closely with a team to enhance and support technology
Innovation: Drive innovation within the team and support CSS’ technological advancements

Skills

Key technologies and capabilities for this role

LLMsDeep LearningGraph Neural NetworksLogistic RegressionGradient BoostingRecommendation SystemsKnowledge GraphsAI AgentsProduction MLStatistical Modeling

Questions & Answers

Common questions about this position

What education and experience are required for this Machine Learning Engineer role?

An advanced degree (PhD or Master) in Computer Science, Machine Learning, Data Mining, Statistics, or related field is required, along with preferred 3+ years of relevant experience.

What key technical skills are needed for this position?

Deep knowledge of at least one ML model like LLMs, GNN, Deep Learning, Logistic Regression, or Gradient Boosting trees is required, plus working knowledge in areas such as generative AI, data mining, NLP, or computer vision, proficiency in Python, and familiarity with Java/Go.

What is the work location for this job?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What is the company culture like at Otter?

Otter offers a collaborative environment where you will receive support and guidance from experienced colleagues and managers to learn, grow, and achieve your goals, while working closely with other teams.

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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