Connectly | Lead Data Engineer/Senior Python Engineer | Remote(Worldwide) / San Francisco | Full time
We Connectly(https://connectly.ai) are a fast growing company that's building conversational commerce (WhatsApp, iMessage, etc) to maximize engagement and result.
Team - 23 people of top backgrounds. pls check our profiles on our website.
Product - AI-assisted shopping flow + one-click-checkout on WA + advanced analytics.
Funding - have raised a large amount from top investors in Silicon Valley
Revenue - has been growing 50%+ month over month.
Stack - golang, python, typescript & react
Culture - We pay people generally and treat each other with respect.
Join us if you are driven and would like to make something great together! Email me at careers@connectly.ai or apply at https://jobs.lever.co/connectly
Funding - have raised a large amount from top investors in Silicon Valley
Revenue - has been growing 20%+ month over month.
Stack - python, golang, typescript & react
Culture - we pay people generally and treat each other with respect.
Join us if you are self-driven, move fast and would like to make something great together! Email me at careers@connectly.ai or apply at https://jobs.lever.co/connectly
We at Connectly (https://connectly.ai) have just closed series A and are actively hiring for roles to enhance LLM-driven conversational commerce for messaging platforms. Our mission is to create a seamless shopping experience on messaging apps end-to-end.
Founders: Head of FB Messenger + CTO of Strava
Team - 40 people & growing.
Product - Full shopping experience on WhatsApp in 5 mins
Funding - Substantial amount from top Silicon Valley investors
Revenue - multiple million dollars & growing fast
Stack - golang, python, typescript & react,
Culture - Generous compensation and respectful environment
Join our self-driven team that moves fast and aims for excellence! Email me at careers@connectly.ai or apply at https://jobs.lever.co/connectly
Connectly (https://connectly.ai) is a series B company and we are actively looking for experienced(3 yr+) engineers to build best AI-driven conversational commerce experience end-to-end.
Founders: Head of FB Messenger + CTO of Strava
Team of 60 with significant revenue growth year over year.
Stack - golang, python, typescript & react
Join our self-driven team that moves fast and aims for excellence! Email me at careers@connectly.ai or apply at https://jobs.lever.co/connectly
Connectly (https://connectly.ai) is a series A company and we are actively looking for engineers to build the best conversational commerce experience end-to-end.
Founders: Head of FB Messenger + CTO of Strava
Team - 45 people & growing.
Product - Full shopping experience on WhatsApp in 5 mins
Funding - Substantial amount from top Silicon Valley investors
Revenue - multiple million dollars & growing fast
Stack - golang, python, typescript & react
Culture - Generous compensation and respectful environment
Join our self-driven team that moves fast and aims for excellence! Email me at careers@connectly.ai or apply at https://jobs.lever.co/connectly
We Connectly (https://connectly.ai) are a fast-growing startup that is building LLM-driven conversational commerce for messaging platforms such as WhatsApp and SMS. Our goal is to enable users to discover and purchase products seamlessly on WhatsApp and other messaging apps.
Founders: Head of FB Messenger + CTO of Strava
Team - 40 people & growing.
Product - Bring the full shopping experience to WhatsApp in 5 mins
Funding - have raised a large amount from top investors in Silicon Valley
Revenue - multiple million dollars & growing fast
Stack - typescript, react, python & golang,
Culture - we pay people generously and treat each other with respect.
Join us if you are self-driven, move fast and would like to make something great together! Email me at careers@connectly.ai or apply at https://jobs.lever.co/connectly
Indico Data, the Unstructured Data Company, provides an innovative AI and ML powered software solution that enables organizations to automate, gain insight from, and apply their unstructured data to a wide range of automation workflows.
As software engineer on the Core Platform Engineering Team at Indico, you would write the software that powers Indico’s award winning Intelligent Process Automation product and keeps our services running smoothly. You’ll work closely with the product and R&D teams to effectively execute on our roadmap. You’ll write lots of Python and learn tons about machine learning as we work to make modern deep learning practical and accessible. We’re constantly building new features so you’ll have regular opportunities to work on greenfield projects.
BrightHire | Fully Remote | Full-time | https://brighthire.ai/careers/
BrightHire’s mission is to fix hiring, making it fundamentally more equitable, effective, collaborative, and human.
We’re doing this by building the first intelligent platform for the most important part of the hiring process: interviews and decisions. We just closed a $12.5m Series A from Index Ventures — and the investors behind Figma, Slack, Notion and Roblox to make hiring better and more equitable.
* Head of Data Science https://jobs.lever.co/brighthire/c3ad3bfc-e3b4-4aca-a3ad-be1a6a05fb09?lever-origin=applied&lever-source%5B%5D=Hacker%20News
* Senior Machine Learning Engineer https://jobs.lever.co/brighthire/5ef51206-0105-4788-af98-9d45816523c8?lever-origin=applied&lever-source%5B%5D=Hacker%20News
* Staff/Principal Full Stack Engineer https://jobs.lever.co/brighthire/7fbb7fb9-ae91-4841-a55d-b5b650f36cf3?lever-origin=applied&lever-source%5B%5D=Hacker%20News
* Senior Full Stack Engineer https://jobs.lever.co/brighthire/43eee1e7-42a8-4cbd-9aa6-81448b7d0976?lever-origin=applied&lever-source%5B%5D=Hacker%20News
People.ai | San Francisco | Senior Software Engineer + other | Onsite | Full-time
People.ai is the AI platform for data-driven enterprise companies. We're building the world's largest self-updating business activity and relationship graph. We're leveraging ML and AI to deliver real-time insights to business leaders and executives. Our team members value one another, our customers, radical transparency, and end-to-end ownership.
People.ai (YC S16) is headquartered in San Francisco, CA and is backed by Silicon Valley’s top investors, including Lightspeed Venture Partners, GGV, Index, and Shasta.
Customers include Lyft, Okta, Gainsight, Tanium, Cogniance, MemSQL, 35+ more large enterprises we can't mention here. ;)
Ntropy | https://ntropy.network/ | ML & Backend engineers | SF Bay Area / Remote | Full-time
Ntropy combines financial datasets from across organizations in a scalable and privacy-preserving way. Our first product is a transaction enrichment API that enables fintechs to extract more information from their transaction data, including categories, fraud labels, auxiliary user features
and much more.
You will be one of the first hires joining the team of 4 (2 founders + 2 engineers). We are well capitalized and will be scaling up to 10-12 people over the next 6 months.
stack: Pytorch / Python / some Rust / lots of GPUs
Parse.ly | Python Data Engineers (Americas) and Machine Learning Engineers (Europe) | Remote | Full-Time | https://parse.ly
Are you a Python programmer based in North or South America, interested in large-scale data processing (terabytes per month, petabytes in our archive), and making use of massively-parallel computing architectures, such as those behind Spark and Dask? Or, are you a Machine Learning Engineer in Western or Central/Eastern Europe, interested in making use of modern ML techniques atop an open source Python stack? If so, then you should apply for our fully distributed team, since we are hiring for both roles.
Python Data Engineers[1] write code that runs on hundreds of cloud nodes, using best-in-class distributed database technologies like Kafka, Cassandra, and Elasticsearch. Machine Learning Engineers[2] use cutting-edge techniques to move our analytics, recommendation, and natural language processing stack forward; they have built working production systems using word embeddings, topic clustering, and deep learning. Together, members of these two teams power a massive time series analytics engine and content crawl database that offers an elegant user experience to hundreds of enterprise customers. And we do all of this on a team that's small enough to be nimble, but large enough to be dangerous. 15 total engineers, growing to 25 by the end of 2021.
Join us to build the world's best content analytics system. Apply at work@parsely.com with a couple paragraphs describing why you're interested, and mark your subject line as either"Python Data Engineer via HN" role (if in North America or South America) or "Machine Learning Engineer via HN" role (if in Western or Central/East Europe). A link to any portfolio/code you think is relevant, and/or your CV.
You'd be entering our hiring process early, as we only just kicked off our hiring wave in June, 2021, after Parse.ly's recent acquisition by Automattic[3] -- one of the world's largest fully distributed teams, and one of the biggest champions of open source and open web technologies.
Parse.ly | Python Data Engineers (Americas) and Machine Learning Engineers (Europe) | Remote | Full-Time | https://parse.ly
Are you a Python programmer based in North or South America, interested in large-scale data processing (terabytes per month, petabytes in our archive), and making use of massively-parallel computing architectures, such as those behind Spark and Dask? Or, are you a Machine Learning Engineer in Western or Central/Eastern Europe, interested in making use of modern ML techniques atop an open source Python stack? If so, then you should apply for our fully distributed team, since we are hiring for both roles.
Python Data Engineers[1] write code that runs on hundreds of cloud nodes, using best-in-class distributed database technologies like Kafka, Cassandra, and Elasticsearch. Machine Learning Engineers[2] use cutting-edge techniques to move our analytics, recommendation, and natural language processing stack forward; they have built working production systems using word embeddings, topic clustering, and deep learning. Together, members of these two teams power a massive time series analytics engine and content crawl database that offers an elegant user experience to hundreds of enterprise customers. And we do all of this on a team that's small enough to be nimble, but large enough to be dangerous. 15 total engineers, growing to 25 by the end of 2021.
Join us to build the world's best content analytics system. Apply at work@parsely.com with a couple paragraphs describing why you're interested, and mark your subject line as either"Python Data Engineer via HN" role (if in North America or South America) or "Machine Learning Engineer via HN" role (if in Western or Central/East Europe). A link to any portfolio/code you think is relevant, and/or your CV.
You'd be entering our hiring process early, as we only just kicked off our hiring wave, after Parse.ly's recent acquisition by Automattic[3] -- one of the world's largest fully distributed teams, and one of the biggest champions of open source and open web technologies.
Parse.ly | Python Data Engineers (Americas) and Machine Learning Engineers (Europe, Middle East, Africa) | Remote | Full-Time | https://parse.ly
Are you a Python programmer based in North or South America, interested in large-scale data processing (terabytes per month, petabytes in our archive), and making use of massively-parallel computing architectures, such as those behind Spark and Dask? Or, are you a Machine Learning Engineer in Europe or the UTC to UTC+3 timezones, interested in making use of modern ML techniques atop an open source Python stack? If so, then you should apply for our fully distributed team, since we are hiring for both roles.
Python Data Engineers[1] write code that runs on hundreds of cloud nodes, using best-in-class distributed database technologies like Kafka, Cassandra, and Elasticsearch. Machine Learning Engineers[2] use cutting-edge techniques to move our analytics, recommendation, and natural language processing stack forward; they have built working production systems using word embeddings, topic clustering, and deep learning. Together, members of these two teams power a massive time series analytics engine and content crawl database that offers an elegant user experience to hundreds of enterprise customers. And we do all of this on a team that's small enough to be nimble, but large enough to be dangerous. 15 total engineers, growing to 25 by the end of 2021.
Join us to build the world's best content analytics system. Apply at work@parsely.com with a couple paragraphs describing why you're interested, and mark your subject line as either"Python Data Engineer via HN" role (if in North America or South America) or "Machine Learning Engineer via HN" role (if in Europe or UTC to UTC+3 timezones). A link to any portfolio/code you think is relevant, and/or your CV.
You'd be entering our hiring process early, as we only just kicked off our hiring wave in June, 2021, after Parse.ly's recent acquisition by Automattic[3] -- one of the world's largest fully distributed teams, and one of the biggest champions of open source and open web technologies.
BrightHire’s mission is to fix hiring, making it fundamentally more equitable, effective, collaborative, and human.
We’re doing this by building the first intelligent platform for the most important part of the hiring process: interviews and decisions. We just closed a $12.5m Series A from Index Ventures — and the investors behind Figma, Slack, Notion, and Roblox to make hiring better and more equitable.
BrightHire’s mission is to fix hiring, making it fundamentally more equitable, effective, collaborative, and human.
We’re doing this by building the first intelligent platform for the most important part of the hiring process: interviews and decisions. We just closed a $12.5m Series A from Index Ventures — and the investors behind Figma, Slack, Notion, and Roblox to make hiring better and more equitable.
BrightHire’s mission is to fix hiring, making it fundamentally more equitable, effective, collaborative, and human.
We’re doing this by building the first intelligent platform for the most important part of the hiring process: interviews and decisions. We just closed a $12.5m Series A from Index Ventures — and the investors behind Figma, Slack, Notion and Roblox to make hiring better and more equitable.
BrightHire’s mission is to fix hiring, making it fundamentally more equitable, effective, collaborative, and human.
We’re doing this by building the first intelligent platform for the most important part of the hiring process: interviews and decisions. We just closed a $12.5m Series A from Index Ventures — and the investors behind Figma, Slack, Notion and Roblox to make hiring better and more equitable.
Linea.ai | Fullstack Engineer | San Francisco, CA | On-site/Remote | Full-time
We are building a company to make the transformational power of data science available to everyone. Our mission is to unify the data science ecosystem using open source, serving as the bridge between science and engineering. By incorporating the latest research from systems, databases, programming languages, and human-computer interactions, we are reimagining the data science experience to help everyone be great at data.
Modern data scientists love LineaPy, our open source tool that simplifies the most repetitive and mundane data engineering tasks. It’s our first step to empowering teams to deliver actionable insights faster.
Here is more about the role we are currently hiring for:
Stitch Fix, San Francisco - CA Keywords: H1B, Full-time doing Machine Learning and Python.
Looking for some one who can help me build and scale a machine learning framework in Python. We use pandas, scipy, scikit-learn, ipython, R in our Data Science Engineering Team.
Our product has machine learning algorithms at its core, Stitch Fix is an algorithmic approach to e-commerce, a brilliant business idea that is doing very well commercially. 100% of products sold are based on ML (machine learning) recommendations.
Looking for great python hackers and ML enthusiasts. This team is also a place to be if you are an engineer and want a stepping stone into the more mathematical side of Machine Learning. We build and train models and run them, scale them, A/B test all in day's work. shoot me an email at bhaskar@stitchfix.com (I am one of the ML engineers in this team) if this post makes you curious to learn more.
We are a young team so for this first hire remote is not possible.
Team - 23 people of top backgrounds. pls check our profiles on our website.
Product - AI-assisted shopping flow + one-click-checkout on WA + advanced analytics.
Challenges - Scalability. 3rd integrations. Analytics. AI.
Funding - have raised a large amount from top investors in Silicon Valley
Revenue - has been growing 50%+ month over month.
Stack - golang, python, typescript & react
Culture - We pay people generally and treat each other with respect.
Join us if you are driven and would like to make something great together! Email me at careers@connectly.ai or apply at https://jobs.lever.co/connectly
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