
TwilioRemote - India
8+ yrs Not disclosed
Join the team as our next Staff Machine Learning Engineer on Twilio’s Conversation Memory team.
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TwilioRemote - India
8+ yrs Not disclosed
Join the team as our next Staff Machine Learning Engineer on Twilio’s Conversation Memory team.

DatabricksNew York City, New York
10+ yrs $190k–253k
As one of the first engineers in the NYC Engineering office, you'll join a small, nimble team building new products from the ground up.

CoinbaseRemote - USA
$218k–257k
As a Staff Machine Learning Engineer on the Compliance Automation team within the Platform group, you'll build the AI systems that are reimagining how Coinbase executes compliance operations at scale.

PinterestSan Francisco, CA, US; Remote, US+1 more
8+ yrs Not disclosed
As a Staff Machine Learning Engineer, you'll personally build the most complex models and systems on this stack, hold the bar for code quality and healthy ML infrastructure and lead the technical direction for…

TwilioRemote - Ontario, Canada (DNU)+1 more
8+ yrs $160k–200k
Join the team as Twilio’s next Staff Machine Learning Engineer on Twilio’s AI/ML Platform team.

ServiceNowHyderabad, India+3 more
8+ yrs Not disclosed
That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work.

ServiceNowSanta Clara, CALIFORNIA, United States+1 more
6+ yrs $176k–308k
The architecture is evolving, and this role helps define what good looks like.

ServiceNowSanta Clara, CALIFORNIA, United States
10+ yrs $201k–352k
The architecture is evolving, and this role helps define what good looks like.

FreshworksBengaluru, KA, India+1 more
Not disclosed
As a Staff Machine Learning Engineer, you will serve as the critical architectural bridge between cutting-edge Data Science research and massive-scale, product-ready implementation.

CoinbaseRemote - USA
8+ yrs $218k–257k
As a Staff Machine Learning Engineer, you'll lead the design and delivery of production ML systems across the org, shaping technical strategy, building scalable intelligence capabilities, and partnering with product…

PinterestSan Francisco, CA, US; New York, NY, US; Seattle, WA, US; Remote, US
7+ yrs Not disclosed
The User and Content Foundations org is responsible for deeply understanding our content, users and their interactions by generating high-quality, reusable signals and insights that power relevance and personalization…

StripeN/A
8+ yrs Not disclosed
You will lead the machine learning strategy for abuse prevention across the full customer lifecycle.

ServiceNowDallas, Texas, United States+3 more
4+ yrs $176k–308k
Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

ServiceNowSanta Clara, CALIFORNIA, United States
8+ yrs $201k–352k
Please note that this role requires you to be in our Santa Clara office for two days per week.

ServiceNowHyderabad, India
12+ yrs Not disclosed
You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services.

ServiceNowHyderabad, India
8+ yrs Not disclosed
You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services.

ServiceNowHyderabad, India+3 more
Not disclosed
You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services.

ServiceNowSanta Clara, CALIFORNIA, United States
12+ yrs $201k–352k
Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

ServiceNowSanta Clara, CALIFORNIA, United States
8+ yrs $176k–308k
Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

ServiceNowSanta Clara, CALIFORNIA, United States
8+ yrs $201k–352k
We are seeking a Senior Staff Machine Learning Engineer (DevOps) to lead the architecture, optimization, and operational excellence of our AI inference platform.