- UpvoteDownvoteShare Job
- Suggest Revision
3+ years’ experience with the entire Software Development Life Cycle (SDLC) of deploying machine learning models to production in multiple domains, such as classification, Natural Language Processing (NLP), computer vision, recommendation systems, and forecasting.
$88,600 - $166,600Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
We are doing the world-class work in machine learning, computer vision, natural language processing, speech and audio, knowledge and data mining, and transferring our work into ByteDance which are used by hundreds of millions of users around the world.
$129,960 - $194,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
As a Machine Learning Engineer, you will work as part of a team to assist, develop, and collaborate in ML models and algorithms, specifically focusing on integrating Azure OpenAI services and Large Language Models.
RemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
As a Machine Learning Engineer within Corelight Labs, you will work closely with data scientists and network security experts to explore, design, build and deliver machine learning solutions for challenging network security problems.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The Sr. Thermal engineer plays an active role in developing thermal components using 3D CAD software and advanced engineering analysis. The Senior Thermal Engineer is responsible for assisting in the development of key thermal components & systems from concept to engineering release of new products.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Our mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning. , and our core team includes faculty entrepreneurs (Stanford) and industry veterans (Uber, Apple, Amazon Lab126, Rohde & Schwarz), who have successfully shepherded signal processing and machine learning innovations to large-scale software for location improvement and safety at Uber.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Software Engineering & DevOps: Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
ExpandApply 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.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Strong background in platforms and tools such as OpenAI, Azure Semantic Kernel, AWS Bedrock, and other machine learning technologies, with a focus on Generative AI and open-source AI frameworks.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Familiarity with cloud platforms that offer specific support for deploying and scaling generative models, such as Google’s Vertex AI, Azure’s AI tools, and AWS’s Machine Learning services.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
- Suggest Revision
About the role As a Staff Machine Learning Engineer at Ladder, you're an integral part of our engineering team playing a critical role in designing, developing and deploying advanced machine learning models to transform the life insurance industry.
Starting at $250Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA or St. Louis, MO. HOW A MACHINE LEARNING ENGINEER WILL MAKE AN IMPACT Own your opportunity to serve as a critical component of our nation's safety and security.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
- Suggest Revision
We're looking for an enthusiastic and experienced Machine Learning Engineer to help us use AI to build impactful developer productivity tools for engineers across Block. 6+ years of experience in training and deploying ML models, ML software development, and building customer-facing ML applications.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Desired Experience: Experience developing Bluetooth, WiFi, or RF enabled IoT devices Experience developing firmware on Nordic microprocessors Experience working with Altium software (or equivalent) for PCB Layout Experience developing power optimized firmware for custom designed PCB boards Master’s degree or higher in electrical, computer engineering or a related field.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We build tools to interact with and monitor our vehicles remotely: everything from in-the-field diagnostics to step-function operational improvements like remote software deploy and automated scheduling.
ExpandApply NowActive JobUpdated 3 days ago
machine learning software engineer engineering jobs Title: software development engineer Company: Muthootfincorpone
FEATURED BLOG POSTS
How to Re-apply for Your Old Job Professionally
Have you recently started a new job only to find that you miss your old one? Maybe you didn’t realize how good you had it, and now you regret leaving. Don’t worry. You’re not the first person to feel this way, and you might even be able to return to your old job if you play your cards right.
Looking for New Candidates?
Before the turn of the century, recruiters could put their "help wanted" ads in the newspaper, and applications would pour in. Since then, recruiting has turned a new page. The use of the internet and other technologies allows recruiters to broaden their candidate pool for the simple reason being
Decline a Job Offer Professionally: When to Rescind
Your job search has finally paid off! After countless job applications, numerous emails, and several interviews, the hiring manager and other stakeholders have decided that you’re the right person for the job! All you have to do now is accept the offer and walk into the sunset, right?
Resume Job Description Samples - 8 Tips to Follow
When looking for a job, your resume becomes a crucial element. From making a great first impression to showcasing all your achievements and potential, your resume has to portray your professional story in minutes.
Tips to Get Your First Job Confidently
Whether you’re a recent graduate or you still have a few exams left, you may be itching to put your polished leather shoes on and join the workforce. After all, your first job is an entryway into the professional life you’d lead for the decades to come.
How to Practice Fair Chance Hiring for People With Criminal Records
Usually when you think of your dream hire, you think of someone who is respectful, trustworthy, reliable, and has sound judgment, right? As you envision your ideal candidate with these qualities, the last person you think of is someone with a criminal record.
6 Common Mistakes to Avoid When Employer Branding
Currently, job searchers are putting extra effort into researching employers. The information they find plays a major role in whether they will pursue an opportunity with you or look for jobs elsewhere. That is why it is now more important than ever to be proactive and intentional when showcasing your workforce and workplace culture. Having a well crafted employer branding strategy can help you strategize and influence your potential candidates so they see your business in the best light. But in order to do that, you should be aware of some of the most common mistakes that employers make.