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Sourceress | Machine Learning Engineer | San Francisco | Full-time | Local or Remote | https://www.sourceress.com/jobs

We already have significant machine learning expertise, so are happy to hire great engineers without prior ML experience who are willing to learn. We strongly value personal growth, and want to help you grow into a great engineer (or engineering leader).

Our mission is to help people find work that matters. We believe that the world is better when people understand the opportunities available to them. Our human-assisted AI platform delivers great results to our customers (customer quote: "I'd have a panic attack if you guys stopped existing").

Because of this, we raised $3.5M from OpenAI researchers and Lightspeed [2] at one of the highest ever valuations coming out of YC. Our team has previously sold companies, published machine learning research, has Dropbox's former Chief of Staff, and previously worked at Google, Airbnb, McKinsey, etc.

Qualifications:

- Are you empathetic, driven, and intellectually curious?

- Do you understand the value of shipping quickly and of software craftsmanship, and have the judgment to know when to apply each?

- Do you enjoy collaborating with other developers and helping them grow?

Stack: Python, Django, AWS, PostgreSQL, Typescript, React

To Apply: email me at josh@sourceress.com



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Sourceress | Machine Learning Engineer | San Francisco | Full-time | Local or Remote | https://www.sourceress.com/jobs

We already have significant machine learning expertise, so are happy to hire great engineers without prior ML experience who are willing to learn. We strongly value personal growth, and want to help you grow into a great engineer (or engineering leader).

Our mission is to help people find work that matters. We believe that the world is better when people understand the opportunities available to them. Our human-assisted AI platform delivers great results to our customers (customer quote: "I'd have a panic attack if you guys stopped existing").

Because of this, we raised $3.5M from OpenAI researchers and Lightspeed [2] at one of the highest ever valuations coming out of YC. Our team has previously sold companies, published machine learning research, has Dropbox's former Chief of Staff, and previously worked at Google, Airbnb, McKinsey, etc.

Qualifications:

- Are you empathetic, driven, and intellectually curious?

- Do you understand the value of shipping quickly and of software craftsmanship, and have the judgment to know when to apply each?

- Do you enjoy collaborating with other developers and helping them grow?

Stack: Python (Django), AWS, PostgreSQL, Typescript, React

To Apply: email me at josh@sourceress.com


Sourceress | Machine Learning Engineer | San Francisco | Full-time | Local or Remote | https://www.sourceress.com/jobs

We strongly value personal growth, and want to help you grow into a great engineer (or great engineering leader). We also already have some machine learning expertise, so are happy to hire great engineers who are willing to learn.

Our mission is to help people find work that matters. We believe that the world is better when people understand the opportunities available to them. Our human-assisted AI platform delivers great results to our customers (customer quote: "I'd have a panic attack if you guys stopped existing").

Because of this, we raised $3.5M from OpenAI researchers and Lightspeed [2] at one of the highest ever valuations coming out of YC. Our team has previously sold companies, published machine learning research, has Dropbox's former Chief of Staff, and previously worked at Google, Airbnb, McKinsey, etc.

Qualifications:

- Are you empathetic, driven, and intellectually curious?

- Do you understand the value of shipping quickly and of software craftsmanship, and have the judgment to know when to apply each?

- Do you enjoy collaborating with other developers and helping them grow?

Stack:

Python (Django), AWS, PostgreSQL, Typescript, React

To Apply:

email me at josh@sourceress.com


Sourceress | Machine Learning Engineer | San Francisco | Full-time | Local or Remote | https://www.sourceress.com/jobs

We strongly value personal growth, and want to help you grow into a great engineer (or great engineering leader). We also already have some machine learning expertise, so are happy to hire great engineers who are willing to learn.

Our mission is to help people find work that matters. We believe that the world is better when people understand the opportunities available to them. Our human-assisted AI platform delivers great results to our customers (customer quote: "I'd have a panic attack if you guys stopped existing").

Because of this, we raised $3.5M from OpenAI researchers and Lightspeed [2] at one of the highest ever valuations coming out of YC. Our team has previously sold companies, published machine learning research, has Dropbox's former Chief of Staff, and previously worked at Google, Airbnb, McKinsey, etc.

Qualifications:

- Are you empathetic, driven, and intellectually curious?

- Do you understand the value of shipping quickly and of software craftsmanship, and have the judgment to know when to apply each?

- Do you enjoy collaborating with other developers and helping them grow?

Stack:

Python (Django), AWS, PostgreSQL, Typescript, React

To Apply:

email me at josh@sourceress.com


Sourceress | Engineering: Machine Learning, Backend, Frontend, Managers | San Francisco | Full-time | Local or Remote | https://www.sourceress.com/jobs

We already have significant machine learning expertise, so are happy to hire great engineers without prior ML experience who are willing to learn. We strongly value personal growth, and want to help you grow into a great engineer (or engineering leader), so this approach applies to our other engineering roles as well.

Our mission is to help people find work that matters. We believe that the world is better when people understand the opportunities available to them. Our human-assisted AI platform delivers great results to our customers (customer quote: "I'd have a panic attack if you guys stopped existing").

Because of this, we raised $3.5M from OpenAI researchers and Lightspeed at one of the highest ever valuations coming out of YC. Our team has previously sold companies, published machine learning research, has Dropbox's former Chief of Staff, and previously worked at Google, Airbnb, McKinsey, etc.

Qualifications:

- Do you understand the value of shipping quickly and of software craftsmanship, and have the judgment to know when to apply each?

- Do you enjoy collaborating with other developers and helping them grow?

- Do you share our values? https://www.sourceress.com/jobs#values

Stack: Python 3, Typescript, React, AWS, PostgreSQL

To Apply: https://jobs.lever.co/sourceress?team=Engineering


Sourceress | Engineering: Machine Learning, Backend, Frontend, Managers | San Francisco | Full-time | Local or Remote | https://www.sourceress.com/jobs

We already have significant machine learning expertise, so are happy to hire great engineers without prior ML experience who are willing to learn. We strongly value personal growth, and want to help you grow into a great engineer (or engineering leader), so this approach applies to our other engineering roles as well.

Our mission is to help people find work that matters. We believe that the world is better when people understand the opportunities available to them. Our human-assisted AI platform delivers great results to our customers (customer quote: "I'd have a panic attack if you guys stopped existing").

Because of this, we raised $3.5M from OpenAI researchers and Lightspeed at one of the highest ever valuations coming out of YC. Our team has previously sold companies, published machine learning research, has Dropbox's former Chief of Staff, and previously worked at Google, Airbnb, McKinsey, etc.

Qualifications:

- Do you understand the value of shipping quickly and of software craftsmanship, and have the judgment to know when to apply each?

- Do you enjoy collaborating with other developers and helping them grow?

- Do you share our values? https://www.sourceress.com/jobs#values

Stack: Python 3, Typescript, React, AWS, PostgreSQL

To Apply: https://jobs.lever.co/sourceress?team=Engineering


Sourceress | Engineering: Machine Learning, Backend, Frontend, Managers | San Francisco | Full-time | Local or Remote | https://www.sourceress.com/jobs

We already have significant machine learning expertise, so are happy to hire great engineers without prior ML experience who are willing to learn. We strongly value personal growth, and want to help you grow into a great engineer (or engineering leader), so this approach applies to our other engineering roles as well.

Our mission is to help people find work that matters. We believe that the world is better when people understand the opportunities available to them. Our human-assisted AI platform delivers great results to our customers (customer quote: "I'd have a panic attack if you guys stopped existing").

Because of this, we raised $3.5M from OpenAI researchers and Lightspeed at one of the highest ever valuations coming out of YC. Our team has previously sold companies, published machine learning research, has Dropbox's former Chief of Staff, and previously worked at Google, Airbnb, McKinsey, etc.

Qualifications:

- Do you understand the value of shipping quickly and of software craftsmanship, and have the judgment to know when to apply each?

- Do you enjoy collaborating with other developers and helping them grow?

- Do you share our values? https://www.sourceress.com/jobs#values

Stack: Python 3, Typescript, React, AWS, PostgreSQL

To Apply: https://jobs.lever.co/sourceress?team=Engineering


Sourceress | Engineering: Machine Learning, Backend, Frontend, Managers | San Francisco | Full-time | Local or Remote | https://www.sourceress.com/jobs

We already have significant machine learning expertise, so are happy to hire great engineers without prior ML experience who are willing to learn. We strongly value personal growth, and want to help you grow into a great engineer (or engineering leader), so this approach applies to our other engineering roles as well.

Our mission is to help people find work that matters. We believe that the world is better when people understand the opportunities available to them. Our human-assisted AI platform delivers great results to our customers (customer quote: "I'd have a panic attack if you guys stopped existing").

Because of this, we raised $3.5M from OpenAI researchers and Lightspeed at one of the highest ever valuations coming out of YC. Our team has previously sold companies, published machine learning research, has Dropbox's former Chief of Staff, and previously worked at Google, Airbnb, McKinsey, etc.

Qualifications:

- Do you understand the value of shipping quickly and of software craftsmanship, and have the judgment to know when to apply each?

- Do you enjoy collaborating with other developers and helping them grow?

- Do you share our values? https://www.sourceress.com/jobs#values

Stack: Python 3, Typescript, React, AWS, PostgreSQL

To Apply: https://www.sourceress.com/jobs#current-openings


Sourceress | Engineering: Machine Learning, Backend, Frontend, Managers | San Francisco | Full-time | Local or Remote | https://www.sourceress.com/jobs

We already have significant machine learning expertise, so are happy to hire great engineers without prior ML experience who are willing to learn. We strongly value personal growth, and want to help you grow into a great engineer (or engineering leader), so this approach applies to our other engineering roles as well.

Our mission is to help people find work that matters. We believe that the world is better when people understand the opportunities available to them. Our human-assisted AI platform delivers great results to our customers (customer quote: "I'd have a panic attack if you guys stopped existing").

Because of this, we raised $3.5M from OpenAI researchers and Lightspeed at one of the highest ever valuations coming out of YC. Our team has previously sold companies, published machine learning research, has Dropbox's former Chief of Staff, and previously worked at Google, Airbnb, McKinsey, etc.

Qualifications:

- Do you understand the value of shipping quickly and of software craftsmanship, and have the judgment to know when to apply each?

- Do you enjoy collaborating with other developers and helping them grow?

- Do you share our values? https://www.sourceress.com/jobs#values

Stack: Python 3, Typescript, React, AWS, PostgreSQL

To Apply: https://www.sourceress.com/jobs#current-openings


Sourceress | Engineering: Machine Learning, Backend, Frontend, Managers | San Francisco | Full-time | Local or Remote | https://www.sourceress.com/jobs

We already have significant machine learning expertise, so are happy to hire great engineers without prior ML experience who are willing to learn. We strongly value personal growth, and want to help you grow into a great engineer (or engineering leader), so this approach applies to our other engineering roles as well.

Our mission is to help people find work that matters. We believe that the world is better when people understand the opportunities available to them. Our human-assisted AI platform delivers great results to our customers (customer quote: "I'd have a panic attack if you guys stopped existing").

Because of this, we raised $3.5M from OpenAI researchers and Lightspeed at one of the highest ever valuations coming out of YC. Our team has previously sold companies, published machine learning research, has Dropbox's former Chief of Staff, and previously worked at Google, Airbnb, McKinsey, etc.

Qualifications:

- Do you understand the value of shipping quickly and of software craftsmanship, and have the judgment to know when to apply each?

- Do you enjoy collaborating with other developers and helping them grow?

- Do you share our values? https://www.sourceress.com/jobs#values

Stack: Python 3, Typescript, React, AWS, PostgreSQL

To Apply: https://www.sourceress.com/jobs#current-openings


Sourceress | Engineering: Machine Learning, Backend, Frontend, Managers | San Francisco | Full-time | Local or Remote | https://www.sourceress.com/jobs

We already have significant machine learning expertise, so are happy to hire great engineers without prior ML experience who are willing to learn. We strongly value personal growth, and want to help you grow into a great engineer (or engineering leader), so this approach applies to our other engineering roles as well.

Our mission is to help people find work that matters. We believe that the world is better when people understand the opportunities available to them. Our human-assisted AI platform delivers great results to our customers (customer quote: "I'd have a panic attack if you guys stopped existing").

Because of this, we raised $3.5M from OpenAI researchers and Lightspeed at one of the highest ever valuations coming out of YC. Our team has previously sold companies, published machine learning research, has Dropbox's former Chief of Staff, and previously worked at Google, Airbnb, McKinsey, etc.

Qualifications:

- Do you understand the value of shipping quickly and of software craftsmanship, and have the judgment to know when to apply each?

- Do you enjoy collaborating with other developers and helping them grow?

- Do you share our values? https://www.sourceress.com/jobs#values

Stack: Python 3, Typescript, React, AWS, PostgreSQL

To Apply: https://www.sourceress.com/jobs#current-openings


[ Stealth Startup ] | ML and Systems Engineers | San Francisco, CA | Full-Time | On-site

Deep learning has enormous promise, but developing practical applications powered by deep learning is extremely complex and expensive. We’re working to change that by building software to make deep learning engineers dramatically more productive and efficient. We are a venture-backed startup founded by world experts in machine learning and distributed systems.

We’re hiring exceptional software engineers to play a fundamental role in building the company and shaping the culture. What we’re looking for:

(1) Systems Engineers who are passionate about building scalable, reliable distributed systems.

(2) ML Engineers who have a strong algorithmic and statistical background as well as hands-on experience building deep learning applications.

Tech Stack: Python, Go, Kubernetes, Mesos, Docker, Tensorflow/Keras/Caffe/PyTorch.

Compensation: Competitive salary and benefits, meaningful equity stake.

Contact: For more information, send your CV to machine.intelligence.startup@gmail.com


X | Machine Learning Engineer - Community Notes | SF, SJ, Seattle, LA, NYC | All Levels

The role: build scalable production machine learning systems and infrastructure, and improve our open source algorithm: https://github.com/twitter/communitynotes

Community Notes has been discussed here on HN a number of times e.g. here: https://news.ycombinator.com/item?id=37292041

Apply here: https://twitter.wd5.myworkdayjobs.com/X/job/San-Francisco-CA...

There are many other positions at the company too, see: https://careers.x.com/en


Founding ML engineer of Sourceress (S17) here - we'll be there! https://jobs.lever.co/sourceress

Uncountable | Machine Learning Engineers | San Francisco (Onsite) | $150k-220k & Enterprise Sales | San Francisco (Onsite) | $70-120k + Commission https://www.uncountable.com/careers

Uncountable accelerates the innovation of the world’s largest manufacturers. By leveraging advanced artificial intelligence techniques, Uncountable's algorithms get better material and chemical products to the market in half the time. We work with companies of all sizes, from innovative startups to Fortune 500 manufacturers.

ML Engineers: We are looking to build out a world-class machine learning team that can push the boundaries of what is currently possible with Bayesian optimization and modeling. You will have the opportunity to work on difficult machine learning problems at a very small startup.

REQUIREMENTS: MS or PhD in a related field. Experience with statistical learning theory and software development.

Enterprise Sales: We are looking for resourceful, scrappy, and driven professionals to grow out our sales and business development team. As a sales representative, you will be responsible for generating leads, pitching Uncountable’s AI platform to Directors/VPs, and closing enterprise deals. With junior and senior positions available, non-sales backgrounds are perfectly acceptable given a willingness to learn and improve.

These are on-site, full-time positions in San Francisco, CA. Learn more: https://www.uncountable.com/careers Contact: jason@uncountable.com


Location: San Francisco

Remote: Yes

Willing to Relocate: LA, SD, NYC, Dallas

Looking for: Machine Learning Engineer or Deep Learning Engineer Roles

Tech: Python, Bash, SQL, Tensorflow, Numpy, Scikit-learn, AWS

Email:vince kumar 8 [at] gmail

https://www.linkedin.com/in/vince-kumar/


Uncountable | Machine Learning Engineers | San Francisco (Onsite) | $150k-220k & Enterprise Sales | San Francisco (Onsite) | $70-120k + Commission

https://www.uncountable.com/careers

Uncountable accelerates the innovation of the world’s largest manufacturers. By leveraging advanced artificial intelligence techniques, Uncountable's algorithms get better material and chemical products to the market in half the time. We work with companies of all sizes, from innovative startups to Fortune 500 manufacturers.

ML Engineers: We are looking to build out a world-class machine learning team that can push the boundaries of what is currently possible with Bayesian optimization and modeling. You will have the opportunity to work on difficult machine learning problems at a very small startup.

REQUIREMENTS: MS or PhD in a related field. Experience with statistical learning theory. Familiarity with software development.

Enterprise Sales: We are looking for resourceful, scrappy, and driven professionals to grow out our sales and business development team. As a sales representative, you will be responsible for generating leads, pitching Uncountable’s AI platform to Directors/VPs, and closing enterprise deals. With junior and senior positions available, non-sales backgrounds are perfectly acceptable given a willingness to learn and improve.

These are on-site, full-time positions in San Francisco, CA. Learn more: https://www.uncountable.com/careers Contact: jason@uncountable.com


Uncountable | Machine Learning Engineers | San Francisco (Onsite) | $150k-220k & Enterprise Sales | San Francisco (Onsite) | $70-120k + Commission

https://www.uncountable.com/careers

Uncountable accelerates the innovation of the world’s largest manufacturers. By leveraging advanced artificial intelligence techniques, Uncountable's algorithms get better material and chemical products to the market in half the time. We work with companies of all sizes, from innovative startups to Fortune 500 manufacturers.

ML Engineers: We are looking to build out a world-class machine learning team that can push the boundaries of what is currently possible with Bayesian optimization and modeling. You will have the opportunity to work on difficult machine learning problems at a very small startup.

REQUIREMENTS: MS or PhD in a related field. Experience with statistical learning theory. Familiarity with software development.

Enterprise Sales: We are looking for resourceful, scrappy, and driven professionals to grow out our sales and business development team. As a sales representative, you will be responsible for generating leads, pitching Uncountable’s AI platform to Directors/VPs, and closing enterprise deals. With junior and senior positions available, non-sales backgrounds are perfectly acceptable given a willingness to learn and improve.

These are on-site, full-time positions in San Francisco, CA. Learn more: https://www.uncountable.com/careers Contact: jason@uncountable.com


Nurx is looking for a machine learning engineer to help us leverage our data to provide better patient care. You’ll be responsible for building out the machine learning team, including the tech stack and processes that will guide our ability to use automation to respond to patients more quickly and more safely.

Responsibilities Build machine learning infrastructure from the ground up Build models to allow us to automate customer care and predict risks Analyze data and optimize model performance Design and implement data pipelines

Requirements Expert in natural language processing and text classification Proficient in at least one relevant programming language Strong architecture and system design skills Strong oral and written communication skills Can build data pipelines and tools for analysis Can identify opportunities to leverage our data to improve patient care Either: Masters or above in quantitative field with professional experience or 2+ years experience as an engineer on a machine learning team

You may work on... Building a bot to categorize, respond to, and take action based on patient communication Using our patient health data to identify and predict risk Our mission is to increase access to healthcare. We believe that control over your own healthcare is a human right, and something everyone deserves. We want to challenge the status quo and break down unnecessary barriers. Come join us!

This position is full-time and based in San Francisco.


Uncountable | Machine Learning Engineers | San Francisco (Onsite) | $150k-220k

& Enterprise Sales | San Francisco (Onsite) | $70-120k + Commission

https://www.uncountable.com/careers

Uncountable accelerates the innovation of the world’s largest manufacturers. By leveraging advanced artificial intelligence techniques, Uncountable's algorithms get better material and chemical products to the market in half the time. We work with companies of all sizes, from innovative startups to Fortune 500 manufacturers.

ML Engineers: We are looking to build out a world-class machine learning team that can push the boundaries of what is currently possible with Bayesian optimization and modeling. You will have the opportunity to work on difficult machine learning problems at a very small startup.

REQUIREMENTS: MS or PhD in a related field. Experience with statistical learning theory. Familiarity with software development.

Enterprise Sales: We are looking for resourceful, scrappy, and driven professionals to grow out our sales and business development team. As a sales representative, you will be responsible for generating leads, pitching Uncountable’s AI platform to Directors/VPs, and closing enterprise deals. With junior and senior positions available, non-sales backgrounds are perfectly acceptable given a willingness to learn and improve.

These are on-site, full-time positions in San Francisco, CA. Learn more: https://www.uncountable.com/careers Contact: jason@uncountable.com

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