Machine Learning Engineer, Remark

Salary not provided

+ Equity

TypeScript
JavaScript
Python
GraphQL
Redis
Mid and Senior level
Remote in US
Boston

More information about location

Remark

eCommerce customer experience platform

Open for applications

Remark

eCommerce customer experience platform

21-100 employees

B2BArtificial IntelligenceMarketingSaaS

Open for applications

Salary not provided

+ Equity

TypeScript
JavaScript
Python
GraphQL
Redis
Mid and Senior level
Remote in US
Boston

More information about location

21-100 employees

B2BArtificial IntelligenceMarketingSaaS

Company mission

To make it easier for people to enter new hobbies, pursue new interests, and explore this wild world we live in.

Company mission

To make it easier for people to enter new hobbies, pursue new interests, and explore this wild world we live in.

Few candidates hear
back within 2 weeks

Our take

With user reviews commonplace within eCommerce, it can be easy for consumers to get bogged down in contradictory or misleading advice when purchasing. Remark helps online shoppers make more informed decisions by pairing them with product experts - artists, musicians, athletes, makeup artists - empowering them to find the perfect buy for their needs.

Remark’s live chat platform not only allows users to query the product experts but also trains AI models on these experts. These chatbots can answer questions in the same style and with the same information as the product experts, thus ensuring somebody is always on hand to answer questions. Human experts are incentivised by earning a cut of each sale made through Remark.

The company mostly serves brands who integrate the platform into their online customer experiences. This is shaping up to be a lucrative market, as more brands shift their flagship stores to online rather than brick-and-mortar establishments. With at least 45 brands already using its platform, Remark is off to a good start, and an influx of Seed funding will support further product development.

Kirsty headshot

Kirsty

Company Specialist at Welcome to the Jungle

Company values

  • Aligned AI - We design and develop our software services with ethical considerations, striving for no biases, discrimination, or harm to individuals or society
  • Privacy and Security - We prioritize personal data protection, guaranteeing compliance with privacy regulations and ensuring shoppers' trust
  • Customer-Centricity - We prioritize our clients' needs, actively listening to feedback and exceeding expectations to create exceptional experiences
  • Transparency - We prioritize transparency in our partnerships, fostering open communication and feedback for continuous learning and growth
  • Inclusion - We strive for inclusivity, removing knowledge access barriers for individuals from diverse backgrounds, abilities, and demographics
  • Innovation - We foster a culture of innovation, empowering our team to explore new ideas and embrace emerging technologies, trends, and insights

Funding (1 round)

May 2024

$10.3m

SEED

Total funding: $10.3m

Leadership

Also the Co-Founder of Outdoorly. Previously Software Engineer at Amazon and was a Teaching Assistant at Colby College.

Ian Patterson

(Sales Director)

Also Director of Partnerships at Outdoorly. Previously Commercial Photographer for The Nature Conservancy and Staff Photographer at College Outside.

Carl Majgaard

(Engineering)

Also Co-Founder at Outdoorly. Previously Advisor for Technology at Colby College and Software Engineer at 40GRID and Salesforce.

Jobs (4)

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Data