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Our next-generation platform, which combines threat intelligence with machine learning, enables financial institutions and governments to detect cryptocurrency fraud and financial crime at an unprecedented scale.
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Rhizome is seeking a Software Engineer who can scale our Data Engineering capacity and contribute to Machine Learning development at the enterprise scale. Our thesis as technologists is that, in order to fulfill our mission to protect society from the impacts of climate change through intentional, intelligent infrastructure planning, we need to embark on a journey of respectfully listening, learning, and then problem-solving.
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What you'll be doing Build applications, tooling, and frameworks to improve the productivity of Discord's product, analytics, and machine learning teams, using modern technologies such as BigQuery, Airflow, Kubernetes, etc.
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In this exciting role, you will join a vigorous team of geoscientist and ML researchers from leading US institutions developing next generation tools for geological carbon storage (GCS.
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The Senior Staff Machine Learning Engineer is a versatile role in Behaviors that drives a wide spectrum of applied ML research and development to overcome challenges on urban roads.
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Energy Sciences, Biosciences, Physical Sciences, Computing Sciences, Nanotechnology, Supercomputing, Big Data, Energy Innovation, Science, Climate Change, exascale, computing, environmental science, materials science, Artificial Intelligence, AI, Machine Learning, Climate, Supercomputing, and Basic Science.
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As our first Machine Learning Engineer, you'll help establish a foundation for ML that takes us from initial MVP to scale. Working closely with our data engineering team, you'll design an implement an enterprise-grade machine learning infrastructure focused on credit risk modeling and fraud detection based on blockchain data.
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Our Senior Software Engineering position sits on the Custody Engineering team, which is responsible for managing and improving our hot and cold Bitcoin wallets, handling transfers in and out of our wallets, and working on next generation Bitcoin technology and features like running a Lightning network node.
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At Tecton, we are on a mission to bring Machine Learning to every customer and product interaction on the planet. We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.
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Get notified about new Machine Learning Engineer jobs in. MLOps Engineer ( Machine Learning Operations Engineer) MLOps Engineer (Machine Learning Operations Engineer.
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Next generation sequencing workflows: library preparation, RNAseq, ATAC-seq, ChIP-seq, Cut-and-Run. Bioinformatic workflows for analysis of next generation sequencing and/or proteomic data.
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As a software engineer on the research team at Wispr, your primary responsibilities will be to work closely with machine learning scientists and neuroscientists to craft algorithms to decode surface electromyography (EMG) and other neural signals.
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Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Create detailed mobile software development documentation and assist in assigning tasks to team members.
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Software Engineer - Backend. Plus Milk Stork, backup child and elder care, and discount on pet insurance, mental health support (via Talkspace) A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust.
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We are seeking a highly skilled and motivated Staff Applied Machine Learning Software Engineer for our Applications team, who is passionate about coding, architecture, and delivering exceptional enterprise products.
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machine learning software engineer next generation insurance customer jobs in Oakland, CA
FEATURED BLOG POSTS
Virtual Reality Job Interviews
With the advent of desktop computers, the arduous task of scouring through weekly job classifieds became a thing of the past. The mid-1990s brought about a new era where job seekers could easily search and apply for jobs online. The introduction of AOL's Instant Messaging feature provided an even faster means for employers and candidates to communicate and schedule interviews. As smartphones became more pervasive in the early 2000s, hiring managers increasingly used phone calls for screening and interviewing candidates. Despite this trend, over 80% of interviews still took place in person.
A Potential TikTok Ban?!
As you may already know, there has been a lot of talk lately about the possibility of a TikTok ban. While this has not yet come to fruition, it's important to consider the implications this could have for businesses and recruiters who rely on TikTok as a platform to market their brand, recruit new talent, and connect with their audience.
The Effects of Workplace Racism and Sexism
One day it's a covert statement to a mother returning to work after maternity leave. Another day it's a lingering gaze at an employee enjoying a culturally rich meal. These microaggressions (or sometimes macroaggressions) can take an employee from a confident, high-performer to one that feels insecure being themselves at work. Your employees engage with people with different ideas and feel most comfortable and valued when they can work without losing their cultural, racial, and gender identity. While most employers know this, why have workplace racism and sexism often been neglected?
When Rage Applying Strikes: How to Identify Unserious Candidates
As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
How to Increase Job Ad Exposure
In today's competitive job market, writing quality job ads is critical for attracting top talent to your organization. While networking and candidate referrals are prime real estate for finding qualified candidates, nothing beats the tried-and-true method of writing an extraordinary job ad. But while writing a great job ad is the first step, what's more important is increasing visibility. You could have the most detailed, well-written ad on the internet, but if no one sees it, then you are wasting time (and potentially money!). Employers often believe that job boards are the root of the problem, but you can learn how to increase job ad exposure by tweaking a few steps of your recruitment process.
How to Write a Recommendation Letter for a Student
When a student applies for their first job or for their next academic degree, they don’t have much experience to showcase their skills and personal qualities. Hiring managers and admissions officers, therefore, often look at recommendation letters as a way to go beyond the student’s GPA and learn more about the student’s skills and personal qualities.
What is Career Cushioning?
Is your organization prepared for “career cushioning”?