- UpvoteDownvoteShare Job
- Suggest Revision
6+ years of experience in machine learning and AI, preferably with exposure to animation, gaming, or visual effects industries. Lead the development and implementation of AI and machine learning technologies to revolutionize animation processes, from pre-production to post-production.
$230,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
As a Quantitative Analyst at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in cloud computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
$200ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, AI applied to chemistry or material science, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
$177,000 - $251,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
As an applied scientist on Twitch's Community team, you will use machine learning to develop data products tackling problems such as harassment, spam, and illegal content. - Build machine learning products to protect Twitch and its users from abusive behavior such as harassment, spam, and violent or illegal content.
$150ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Lead Machine Learning Engineer. Experience working with cloud-based data warehouses like Snowflake, Redshift, or BigQuery. Working with dbt, Snowflake, Airflow, Python, Stitch, and git, and we welcome new ideas.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Solid training in statistics, machine learning/AI, and bioinformatics. Li Lab - Junior or Assistant Specialist - Computational Biologist. The duty of the computational biologist is to develop AI models to analyze longitudinal omics data from human longevity cohorts.
$150Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Analyze the effectiveness of existing methods and partner with Machine Learning and Trust & Safety teams to develop better anti-fraud practices. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning, ideally with previous experience within fraud-adjacent domains.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Create strategies and blueprints that use machine learning to improve operations and refine processes (procure-to-pay, order-to-cash, record-to-report) You’ve worked with these FinTech solutions: Anaplan, Hyperion, BPC, OBIEE, Tableau, and Fusion.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Experience developing and applying computational chemistry and machine learning approaches towards chemistry problems of biological interest. This role involves both the development of innovative computational methods involving machine learning and computational chemistry, as well as direct application of advanced computational approaches to the invention of novel medicines.
$151,900 - $239,200 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
- Suggest Revision
Typical role includes working on a wide range of activities such as working with complex structured and unstructured datasets, developing/recommending novel machine learning tools, data visualizations, automation of analytics workflows, disease progression models, mechanistic and empirical PK/PD models, clinical trial simulations, literature meta-analysis using quantitative approaches and statistical modeling of historical and preclinical data.
$250ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with cloud-based machine learning platforms such as Amazon SageMaker or Apache Spark-based solutions like Databricks is advantageous. Cytokinetics is dedicated to advancing the frontiers of technology through the strategic application of artificial intelligence, machine learning, image analysis, and computational biology and chemistry.
$176,000 - $215,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
- Suggest Revision
Our mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning. Spun out of Stanford in 2019, we have built an intelligent analytics platform fueled by our revolutionary device which uses machine perception and sensor fusion to provide an operations digital twin that combines factory operator activity with machine data for the first time.
$250ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Deep Learning understanding - both in terms of recent architecture trends + fundamentals of how training works, and experience with machine learning frameworks and their internals (e.g. PyTorch, TensorFlow, scikit-learn, etc.
$250ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Experience integrating machine learning models and data driven algorithms into larger system architectures that involve pieces like Flask, Elasticsearch, PostgreSQL, Celery, and RabbitMQ. Lead the development and integration of machine learning models and data-driven algorithms, predominantly focused on Natural Language Processing (NLP) applications.
ExpandApply NowActive JobUpdated Yesterday
machine job in South San Francisco, CA
FEATURED BLOG POSTS
Why Leadership Is So Important in Your Career
There are plenty of baseball players worldwide, but only a select few will master the sport enough to play in the World Series. Similarly, you’ll meet hundreds of “managers” throughout your professional career. Still, only a few will cement themselves as true leaders in your mind. This is why leadership is important—the most influential leaders leave a mark. They inspire.
Making the Move to Salary Transparency
The salary transparency trend continues. Last year, Colorado passed its Equal Pay Transparency Rules, which required employers to include compensation in job postings, notify employees about promotional opportunities, and record job descriptions and wage records. Soon after, states like Washington, Nevada, Maryland, and Rhode Island followed suit.
Brand Reputation 101
People's initial perception of your organization is also known as your brand reputation. Your brand rep either encourages or discourages people from engaging with your company. This means the way people view your company will affect sales and even recruiting efforts.
Recruiting in a Tight Market
As a recruiter or employer, you know how much the economy affects your recruitment and retention efforts. You aren't just in competition with companies in your industry, but you are also fighting against inflation, recession, unemployment rates, and so much more.
How to Build a Candidate Persona
A candidate persona is a semi-fictional representation of your ideal candidate. Building a candidate persona is one of the best methods employers use to ensure their sourcing, recruiting, and hiring processes are focused. Knowing exactly what you're looking for streamlines everything and helps increase hiring confidence. So here's how to create a candidate persona and how to use it.
How to Get Into The Trades: Step-by-Step Guide
Getting a trade job can be a great career move if you like variety and prefer to learn on the job instead of in an academic setting. A trade job can offer security and be a lucrative career path as the demand for skilled trade workers continues to grow.
How do Good Interviewers Prepare for Interviews?
Just like candidates take the time to research you and your company, you should take the time to prepare for the interview. Preparing for the interview doesn't just reflect well on your employer brand and create a better candidate experience. Preparation also helps prevent bad hiring decisions. Bad hiring decisions are usually a result of poor execution during the hiring process. However, going into an interview fully prepared and ready to evaluate candidates will help avoid bad hires. So, here are 6 interview preparation tips for employers.