- UpvoteDownvoteShare Job
- Suggest Revision
Proven expertise in building supervised learning models, with a focus on image analysis and biological data analysis, including proteomics and/or metabolomics. Experience with cloud-based machine learning platforms such as Amazon SageMaker or Apache Spark-based solutions like Databricks is advantageous.
$176,000 - $215,000 a yearFull-timeExpandUpdated 2 months ago - UpvoteDownvoteShare Job
- Suggest Revision
As a team, we enable Attentives Machine Learning (ML) practice to directly impact Attentives AI product suite through the tools to train, inference, and deploy ML models with higher velocity and performance, while maintaining reliability.
$160,000 - $240,000 a yearFull-timeExpandUpdated 22 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Bring your people analytics, social science research and data mining/science skills to a unique team seeking to understand, and shape, the future of the digital workplace. Support analytics and data mining in a cross-disciplinary team of organisational psychologists, web front end engineers, back end engineers and statistics / analytics experts to help us build a new definition for the 21st century digital workplace.
Full-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Our current backend stack is Python, Rust, TensorRT-LLM, Kubernetes, AWS. You will work on designing and implementing machine learning models that drive our recommendation systems, retrieval algorithms, and classifiers.
ExpandUpdated 22 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
$151,900 - $239,200 a yearFull-timeExpandUpdated 2 months ago - UpvoteDownvoteShare Job
- Suggest Revision
Work on cutting edge Trust & Safety Machine Learning solutions for detecting fraud, mitigating fake accounts and account takeovers, detecting image and text policy violations, reducing data scraping, and others.
ExpandUpdated 23 days ago - UpvoteDownvoteShare Job
- Suggest Revision
As a Staff Machine Learning Engineer you will take the lead on building new or updating data driven product features. At least 5 years building analytical/data driven products in an industry setting developing and deploying machine learning and NLP-based solutions.
ExpandUpdated 22 days ago - UpvoteDownvoteShare Job
- Suggest Revision
You'll serve as a technical domain expert in machine learning, data processing, data serving architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our applications.
$208,000 - $300,000 a yearFull-timeExpandUpdated 22 days ago - UpvoteDownvoteShare Job
- Suggest Revision
2 years of experience related to new technology (Digital Thread / Twin, Robotic Process Automation, Machine Learning, Artificial Intelligence, Blockchain, etc.) Digitizing the Engineering function with new technologies like Digital Thread / Twin, Robotic Process Automation, Machine Learning, Artificial Intelligence, Blockchain, etc.
Full-timeExpandUpdated 4 months ago - UpvoteDownvoteShare Job
- Suggest Revision
Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and/or appliedmathematics as necessary to carry out role effectively. Partners with machine learning engineers, BI, and solutions architects to develop technical architectures forstrategic enterprise projects and initiatives.
ExpandUpdated 22 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Determine how to leverage data science, machine learning, and other analytical techniques to offer actionable insights both internally & externally. Exposure to big data platforms - Snowflake, Redshift, Azure, Matillion, Hadoop.
Starting at $250ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The 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. This Includes Working On a Variety Of Really Exciting Problems Such As The Behaviors Teams at Cruise are responsible for developing machine learning models to enable our AV to drive smoothly and safely around an urban environment.
$183,600 - $270,000 a yearFull-timeExpandUpdated 22 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Develop and implement systems to analyze data that inform decision-making, improve practice, advance learning, and support progress toward CYCs strategic goals and outcomes at the organizational, programmatic, and operational levels.
ExpandUpdated 23 days ago - UpvoteDownvoteShare Job
- Suggest Revision
The Computational Biology group in the Clinical Biomarkers & Diagnostics (CBD) department at is seeking a highly motivated Sr data scientist to join our team and contribute to develop machine learning modeling and prediction pipelines using multi-modal biomarker data from clinical trials.
$85 - $92ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Working alongside our generalist consultants, Bain's Advanced Analytics Group (AAG) helps clients across industries solve their biggest problems using our expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics and data engineering.
$260,500 - $313,000 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago
learning data mining jobs Title: machine learning in San Francisco, CA
FEATURED BLOG POSTS
How to Pass a Personality Test with Flying Colors
Whether you’re applying for your first job or looking to move up the career ladder, personality tests aren’t usually the first thing we think about. But surprisingly, they can have a massive impact on how our future employers perceive us. In fact, a 2017 study by the Society for Human Resource Management (SHRM) has found that 32% of U.S. employers use personality tests when hiring for senior management positions, and 28% use them for middle management positions. Personality tests are also used for hourly workers and contractors, though less frequently.
10 Practical and Effective Strategies to Persuade Anyone of Anything
Learning how to persuade people is like a key that can unlock any door. Acing the interview for the job of your dreams. Getting the best deal on a new car. Closing a sale with a skeptical customer. All of these wins require a level of persuasiveness.
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.