- UpvoteDownvoteShare Job
- Suggest Revision
In this role you will lead customer implementations of our software solution Trellis, Blackstone’s Natural Gas Pipeline Management Product. 5+ years of natural gas / energy software consulting experience with full software implementation lifecycle experience.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Preference will be given to candidates with expertise and experience in advanced econometric techniques, causal inference, large data sets, statistical software (R, Python, and STATA are used regularly), and natural language processing/text mining.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
At least 10 years of industrial/academic experience advancing the state of the art machine learning-based research through demonstrable, verifiable technical results in the area of natural language processing, human language understanding, computational linguistics.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
In this role, you will collaborate with researchers to develop machine learning methods for computational biology and drive the implementation and testing of novel research ideas using cutting-edge deep learning techniques.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Cygnus is a high-quality precision sheet metal and machine parts manufacturing company looking for an experienced Engineering Deputy Manager. Proficiency with computers and software to include AutoCAD, NX, Catia and/ or Solid Edge.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
This position is a collaboration between the groups of Loic Royer and Manu Leonetti at the Chan Zuckerberg Biohub ( We strive to map how the human cell is built by combining CRISPR, fluorescence microscopy, proteomics, robotics, software engineering and data science.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Demonstrated experience with machine learning techniques including natural language processing and computer vision. The Contractor Team shall create data science and data engineering products that include data models, data ingestion/transform, analytics which may include machine learning, and some form of output as either a machine-readable format (e.g. file output, database output, standard/streaming output) or a user interface or dashboard.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
In this role, you will play a crucial part in the efficient operation of our office by managing the collection and assembly of cost data, processing payment application requests, and ensuring compliance with NRCS (Natural Resources Conservation Service) policies and procedures.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Required Technical Skills: Deep knowledge of AI principles, including natural language processing (NLP), computer vision, and reinforcement learning. We offer a unique and immersive online learning platform, powering corporate technical training in fields such as Artificial Intelligence, Machine Learning, Data Science, Autonomous Systems, Cloud Computing and more.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
What you’ll bring to Circle: 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions. A cornerstone of this roadmap is the acceleration of its data organization and adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Extensive experience with AI, Machine Learning, Machine Learning Ops, Data Engineering, or Data Science. Background in Data Engineering or Data Science. Great digital is a team game - it requires seamlessly combining strategy, engineering, design, data science, marketing, and more.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Collaborate with our cross-functional R&D team to develop novel and exquisite, highly integrated EO/IR sensor systems, with your immediate emphasis on image processing algorithms, developing machine learning models and training deep neural networks for computer vision tasks, culminating with deployment of full AI/ML solutions.
$116,480 - $208,505 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Working as part of an existing team, the successful candidate will have ample opportunity to contribute to enabling science at UChicago, to collaborate on software development, develop and deliver training, and other activities designed to advance research through scientific visualization, machine learning, and beyond.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The Automation Controls Engineer Leader is responsible for the sustainedoptimum performance of the automated systems pertaining to the Packaging andWarehouse and Logistics areas at the High Point facility in Denver, CO.The main objective of this role is to improve automated systems andmachines efficiency, reliability, and safety by working withProgrammable Logic Controllers (PLCs), Human-Machine Interfaces(HMIs), motor drives, and other configurable electronics.
ExpandApply NowActive JobUpdated Today
machine learning natural language processing software engineering jobs Company: Autodesk
FEATURED BLOG POSTS
Why Work in Sales? 9 Reasons & Tips on Answering as an Interview Question!
Working in sales can be demanding and challenging, but it can also be gratifying. Sales is an excellent career with a clear path full of excitement and potential for growth. So, if you're contemplating careers and have wondered "why work in sales?", keep reading to determine if sales is a suitable role for you.
How to Fire an Employee
So… you've finally decided to let one of your employees go. Drafting the paperwork and corresponding with HR is the easy part, but knowing how to fire an employee is where things get complicated. In fact, it is one of the most challenging conversations to have in the workplace. However, it must be done, and it must be done with poise and tact. Not only should you keep your state law in mind, but you should also consider your former employee's wellbeing.
How Long Does it Take to Hear Back from a Job?
Are you applying for your very first job? Maybe you’re anticipating your termination from your current role and want to be proactive. Either way, waiting to hear back on your job application can be stressful. If time has passed since you applied, you may wonder how long does it take to hear back from a job. Well, the answer is... it depends.
How to Respond to a Recruiter Through Email? (Tips & Examples)
Rather than wading through an endless list of open roles, wouldn’t it be nice if relevant job opportunities come to you?
How to Reject a Candidate Professionally
When deciding on how to reject a candidate, your first question may be
How Does Salary Pay Work? (Compared to Hourly Pay)
At the bottom of each job advertisement, companies label a role as salaried or hourly. Both methods will get you paid (yay), but each in very different ways. So, it's essential to figure out how does salary pay work? While employees paid by the hour are paid based on how long they work, employers pay salaried employees a fixed amount.
The Quiet Quitting Phenomenon
The term, quiet quitting, was coined in 2009, but only now is it gaining traction as young Millennials and Gen Z workers are experiencing record levels of burnout. With the pandemic and the state of the economy, young employees are feeling the pressure. So, quiet quitting comes into effect when that pressure is exasperated by work stress and no managerial support.