- Team: ~30 heads, 10 engineers from MIT, Berkeley, CMU, Google/Google Research, Facebook, Y Combinator, Microsoft Research, Palantir, Jane Street, IBM Research, Yahoo! Research, ...
- Investors: Red Point, Andreessen-Horowitz, Sutter Hill Ventures, Social+Capital, ...
- Customers: Box, Jive, Tableau, Zendesk, AdRoll, Nitro, New Relic, Optimizely, and many more
- Product: machine learning applications for non-technical users to help their businesses more effectively win and retain customers
- Looking for: strong engineers and data scientists excited to join an early-stage startup to help grow & shape the company
EXAMPLES OF RESPONSIBILITIES
- Build on and extend our sophisticated model training pipeline that uses data extracted from the web and other sources
- Build beautiful visualizations to communicate results and frontends to allow non-technical users to build complex models
- Develop and operate secure, scalable cloud infrastructure to manage and process customers' large, confidential datasets
- Create and shape the processes used to guide the engineering team to work together effectively
QUALIFICATIONS
- BS/MS/PhD in Computer Science, Statistics, Math or related fields
- Depth in software engineering, algorithms, and general analytical problem-solving
- Team: ~25 heads, 10 engineers from MIT, Berkeley, CMU, Google/Google Research, Facebook, Y Combinator, Microsoft Research, Palantir, Jane Street, IBM Research, Yahoo! Research, ...
- Investors: Red Point, Andreessen-Horowitz, Sutter Hill Ventures, Social+Capital, ...
- Customers: Box, Jive, Tableau, Zendesk, AdRoll, Nitro, New Relic, Optimizely, and many more
- Product: machine learning applications for non-technical users to help their businesses more effectively win and retain customers
- Looking for: strong engineers and data scientists excited to join an early-stage startup to help grow & shape the company
EXAMPLES OF RESPONSIBILITIES
- Build on and extend our sophisticated model training pipeline that uses data extracted from the web and other sources
- Build beautiful visualizations to communicate results and frontends to allow non-technical users to build complex models
- Develop and operate secure, scalable cloud infrastructure to manage and process customers' large, confidential datasets
- Create and shape the processes used to guide the engineering team to work together effectively
QUALIFICATIONS
- BS/MS/PhD in Computer Science, Statistics, Math or related fields
- Depth in software engineering, algorithms, and general analytical problem-solving
- Team: ~25 heads, 10 engineers from MIT, Berkeley, CMU, Google/Google Research, Facebook, Y Combinator, Microsoft Research, Palantir, Jane Street, IBM Research, Yahoo! Research, ...
- Investors: Red Point, Andreessen-Horowitz, Sutter Hill Ventures, Social+Capital, ...
- Customers: Box, Jive, Microsoft, Tableau, Zendesk, AdRoll, Nitro, and many more
- Product: machine learning applications for non-technical users to help their businesses more effectively win and retain customers
- Looking for: strong engineers and data scientists excited to join an early-stage startup to help grow & shape the company
EXAMPLES OF RESPONSIBILITIES
- Build on and extend our sophisticated model training pipeline that uses data extracted from the web and other sources
- Build beautiful visualizations to communicate results and frontends to allow non-technical users to build complex models
- Develop and operate secure, scalable cloud infrastructure to manage and process customers' large, confidential datasets
- Create and shape the processes used to guide the engineering team to work together effectively
QUALIFICATIONS
- BS/MS/PhD in Computer Science, Statistics, Math or related fields
- Depth in software engineering, algorithms, and general analytical problem-solving
- Team: ~25 heads, 10 engineers from MIT, Berkeley, CMU, Google/Google Research, Facebook, Y Combinator, Microsoft Research, Palantir, Jane Street, IBM Research, Yahoo! Research, ...
- Investors: Red Point, a16z, SHV, Social Capital, ...
- Customers: Box, Jive, Microsoft, Tableau, Zendesk, AdRoll, Nitro, and many more
- Product: machine learning applications for non-technical users to help their businesses more effectively win and retain customers
- Looking for: strong engineers and data scientists excited to join an early-stage startup to help grow & shape the company
EXAMPLES OF RESPONSIBILITIES
- Build on and extend our sophisticated model training pipeline that uses data extracted from the web and other sources
- Build beautiful visualizations to communicate results and frontends to allow non-technical users to build complex models
- Develop and operate secure, scalable cloud infrastructure to manage and process customers' large, confidential datasets
- Create and shape the processes used to guide the engineering team to work together effectively
QUALIFICATIONS
- BS/MS/PhD in Computer Science, Statistics, Math or related fields
- Depth in software engineering, algorithms, and general analytical problem-solving
- Team: ~20 heads, 10 engineers from MIT, Berkeley, CMU, Google/Google Research, Facebook, Y Combinator, Microsoft Research, Palantir, Jane Street, IBM Research, Yahoo! Research, ...
- Investors: Red Point, a16z, SHV, Social Capital, ...
- Customers: Box, Jive, Microsoft, Tableau, Zendesk, AdRoll, Nitro, and many more
- Product: machine learning applications for non-technical users to help their businesses more effectively win and retain customers
- Looking for: strong engineers excited to join an early-stage startup to help grow & shape the company
EXAMPLES OF RESPONSIBILITIES
- Build on and extend our sophisticated model training pipeline that uses data extracted from the web and other sources
- Build beautiful visualizations to communicate results and frontends to allow non-technical users to build complex models
- Develop and operate secure, scalable cloud infrastructure to manage and process customers' large, confidential datasets
- Create and shape the processes used to guide the engineering team to work together effectively
QUALIFICATIONS
- BS/MS/PhD in Computer Science, Statistics, Math or related fields
- Depth in software engineering, algorithms, and general analytical problem-solving
- Team: 20 heads, 10 engineers from MIT, Berkeley, CMU, Google/Google Research, Facebook, Y Combinator, Microsoft Research, Palantir, Jane Street, IBM Research, Yahoo! Research, ...
- Investors: Red Point, a16z, SHV, Social Capital, ...
- Customers: Box, Jive, Microsoft, Tableau, Zendesk, AdRoll, Nitro, and many more
- Product: machine learning applications for non-technical users to help their businesses more effectively win and retain customers
- Looking for: strong engineers excited to join an early-stage startup to help grow & shape the company
EXAMPLES OF RESPONSIBILITIES
- Build on and extend our sophisticated model training pipeline that uses data extracted from the web and other sources
- Build beautiful visualizations to communicate results and frontends to allow non-technical users to build complex models
- Develop and operate secure, scalable cloud infrastructure to manage and process customers' large, confidential datasets
- Create and shape the processes used to guide the engineering team to work together effectively
QUALIFICATIONS
- BS/MS/PhD in Computer Science, Statistics, Math or related fields
- Depth in software engineering, algorithms, and general analytical problem-solving
- Team: 10 engineers from MIT, Berkeley, CMU, Google/Google Research, Facebook, Y Combinator, Microsoft Research, Palantir, Jane Street, IBM Research, Yahoo! Research, ...
- Investors: Red Point, a16z, SHV, Social Capital, ...
- Customers: Box, Jive, Microsoft, Tableau, Zendesk, AdRoll, Nitro, and many more
- Product: machine learning applications for non-technical users to help their businesses more effectively win and retain customers
- Looking for: strong engineers excited to join an early-stage startup to help grow & shape the company
EXAMPLES OF RESPONSIBILITIES
- Build on and extend our sophisticated model training pipeline that uses data extracted from the web and other sources
- Build beautiful visualizations to communicate results and frontends to allow non-technical users to build complex models
- Develop and operate secure, scalable cloud infrastructure to manage and process customers' large, confidential datasets
- Create and shape the processes used to guide the engineering team to work together effectively
QUALIFICATIONS
- BS/MS/PhD in Computer Science, Statistics, Math or related fields
- Depth in software engineering, algorithms, and general analytical problem-solving
- Team: 10 engineers from MIT, Berkeley, CMU, Google/Google Research, Facebook, Y Combinator, Microsoft Research, Palantir, Jane Street, IBM Research, Yahoo Research, ...
- Investors: Red Point, a16z, SHV, Social Capital, ...
- Customers: Box, Jive, Microsoft, Tableau, Zendesk, AdRoll, Nitro, and many more
- Product: machine learning applications for non-technical users to help their businesses more effectively win and retain customers
- Looking for: strong engineers excited to join an early-stage startup to help grow & shape the company
EXAMPLES OF RESPONSIBILITIES
- Build on and extend our sophisticated model training pipeline that uses data extracted from the web and other sources
- Build beautiful visualizations to communicate results and frontends to allow non-technical users to build complex models
- Develop and operate secure, scalable cloud infrastructure to manage and process customers' large, confidential datasets
- Create and shape the processes used to guide the engineering team to work together effectively
QUALIFICATIONS
- BS/MS/PhD in Computer Science, Statistics, Math or related fields
- Depth in software engineering, algorithms, and general analytical problem-solving
- Team: < 10 engineers from MIT, Berkeley, CMU, Google/Google Research, Facebook, Y Combinator, Microsoft Research, Palantir, Jane Street, IBM Research, Yahoo Research, ...
- Investors: Red Point, a16z, SHV, Social Capital, ...
- Customers: Box, Jive, Microsoft, Tableau, Zendesk, AdRoll, Nitro, and many more
- Product: machine learning applications for non-technical users to help their businesses more effectively win and retain customers
- Looking for: strong engineers excited to join an early-stage startup to help grow & shape the company
EXAMPLES OF RESPONSIBILITIES
- Build on and extend our sophisticated model training pipeline that uses data extracted from the web and other sources
- Build beautiful visualizations to communicate results and frontends to allow non-technical users to build complex models
- Develop and operate secure, scalable cloud infrastructure to manage and process customers' large, confidential datasets
- Continually improve how the engineering team works together
QUALIFICATIONS
- BS/MS/PhD in Computer Science, Statistics, Math or related fields
- Depth in software engineering, algorithms, and general analytical problem-solving
- Team: < 10 engineers from MIT, Berkeley, CMU, Google/Google Research, Facebook, Y Combinator, Microsoft Research, Palantir, Jane Street, IBM Research, Yahoo Research, ...
- Investors: Red Point, a16z, SHV, Social Capital, ...
- Customers: Box, Jive, Microsoft, Tableau, Zendesk, AdRoll, Nitro, and many more
- Product: machine learning applications for non-technical users to help their businesses more effectively capture and retain customers
- Looking for: strong engineers excited to join an early-stage startup to help grow & shape the company
EXAMPLES OF RESPONSIBILITIES
- Build on and extend our sophisticated model training pipeline that uses data extracted from the web and other sources
- Build beautiful visualizations to communicate results and frontends to allow non-technical users to build complex models
- Develop and operate secure, scalable cloud infrastructure to manage and process customers' large, confidential datasets
- Continually improve how the engineering team works together
QUALIFICATIONS
- BS/MS/PhD in Computer Science, Statistics, Math or related fields
- Depth in software engineering, algorithms, and general analytical problem-solving
- Team: fewer than 10 engineers from MIT, Berkeley, CMU, Google/Google Research, Facebook, Y Combinator, Microsoft Research, Palantir, Jane Street, IBM Research, Yahoo Research, ...
- Investors: Red Point, a16z, SHV, Social Capital, ...
- Customers: Box, Jive, Microsoft, Tableau, Zendesk, AdRoll, Nitro, and many more
- Product: machine learning applications for non-technical users to help their businesses more effectively capture and retain customers
- Looking for: strong engineers excited to join an early-stage startup to help grow & shape the company
EXAMPLES OF RESPONSIBILITIES
- Build on and extend our sophisticated model training pipeline that uses data extracted from the web and other sources
- Build beautiful visualizations to communicate results and frontends to allow non-technical users to build complex models
- Develop and operate secure, scalable cloud infrastructure to manage and process customers' large, confidential datasets
- Continually improve how the engineering team works together
QUALIFICATIONS
- BS/MS/PhD in Computer Science, Statistics, Math or related fields
- Depth in software engineering, algorithms, and general analytical problem-solving
- Team: fewer than 10 engineers from MIT, Berkeley, Stanford, Google/Google Research, Facebook, Y Combinator, Microsoft Research, Jane Street, IBM Research, Yahoo Research, ...
- Investors: Red Point, a16z, SHV, Social Capital, ...
- Customers: Box, Jive, Microsoft, Tableau, Zendesk, AdRoll, Nitro, and many more
- Product: machine learning applications for non-technical users to help their businesses more effectively capture and retain customers
- Looking for: strong engineers excited to join an early-stage startup to grow with & shape the company
EXAMPLES OF RESPONSIBILITIES
- Build on and extend our sophisticated model training pipeline that uses data extracted from the web and other sources
- Build beautiful visualizations to help customers understand model performance and meaning
- Develop and operate secure, scalable cloud infrastructure to manage and process customers' large, confidential datasets
- Interact with customers, analyze their data, understand their pain points, and develop new product features and new products
QUALIFICATIONS
- BS/MS/PhD in Computer Science, Statistics, Math or related fields
- Depth in software engineering, algorithms, and general analytical problem-solving
- Team: <10 engineers from MIT, Berkeley, Stanford, Google/Google Research, Facebook, Y Combinator, Microsoft Research, Jane Street, IBM Research, Yahoo Research, ...
- Investors: Red Point, a16z, SHV, Social Capital, ...
- Customers: Box, Jive, Microsoft, Tableau, Zendesk, AdRoll, Nitro, and many more
- Product: machine learning applications for non-technical users to help their businesses more effectively capture and retain customers
- Looking for: strong engineers excited to join an early-stage startup to grow with & shape the company
EXAMPLES OF RESPONSIBILITIES
- Build on and extend our sophisticated model training pipeline that uses data extracted from the web and other sources
- Build beautiful visualizations to help customers understand model performance and meaning
- Develop and operate secure, scalable cloud infrastructure to manage and process customers' large, confidential datasets
- Interact with customers, analyze their data, understand their pain points, and develop new product features and new products
QUALIFICATIONS
- BS/MS/PhD in Computer Science, Statistics, Math or related fields
- Depth in software engineering, algorithms, and general analytical problem-solving
- Team: <10 engineers from MIT, Berkeley, Stanford, Google/Google Research, Facebook, Y Combinator, Microsoft Research, Jane Street, IBM Research, Yahoo Research, ...
- Investors: Red Point, a16z, SHV, Social Capital, ...
- Customers: Box, Jive, Microsoft, Tableau, Zendesk, AdRoll, Nitro, and many more
- Product: machine learning applications for non-technical users to help their businesses more effectively capture and retain customers
- Looking for: strong engineers excited to join an early-stage startup to grow with & shape the company
EXAMPLES OF RESPONSIBILITIES
- Build on and extend our sophisticated model training pipeline that uses data extracted from the web and other sources
- Build beautiful visualizations to help customers understand model performance and meaning
- Develop and operate secure, scalable cloud infrastructure to manage and process customers' large, confidential datasets
- Interact with customers, analyze their data, understand their pain points, and develop new product features and new products
QUALIFICATIONS
- BS/MS/PhD in Computer Science, Statistics, Math or related fields
- Depth in software engineering, algorithms, and general analytical problem-solving
INFER, INC.
https://www.infer.com
- Team: ~35 people, ~10 engineers from MIT, Berkeley, CMU, Google/Google Research, Facebook, Y Combinator, Microsoft Research, Palantir, Jane Street, IBM Research, Yahoo! Research, ... (https://www.infer.com/about-us)
- Investors: Red Point, Andreessen-Horowitz, Sutter Hill Ventures, Social+Capital, ...
- Customers: Box, Jive, Tableau, Zendesk, AdRoll, Nitro, New Relic, Optimizely, and many more (https://www.infer.com/customers)
- Product: machine learning applications for non-technical users to help their businesses more effectively win and retain customers
- Looking for: strong engineers and data scientists excited to join an early-stage startup to help grow & shape the company
EXAMPLES OF RESPONSIBILITIES
- Build on and extend our sophisticated model training pipeline that uses data extracted from the web and other sources
- Build beautiful visualizations to communicate results and frontends to allow non-technical users to build complex models
- Develop and operate secure, scalable cloud infrastructure to manage and process customers' large, confidential datasets
- Create and shape the processes used to guide the engineering team to work together effectively
QUALIFICATIONS
- BS/MS/PhD in Computer Science, Statistics, Math or related fields
- Depth in software engineering, algorithms, and general analytical problem-solving
- Familiarity with Python preferred
CONTACT
- https://www.infer.com/careers
- [email protected]