2021 IT & Software Developer jobs in the US

Principal Full Stack Engineer - Copilot Applications
$139,900 - 274,800
Microsoft Corporation
La Avenida Street, Mountain View
$139,900 - 274,800
Requirements
Must:
- Bachelors Degree in Computer Science or a related technical field AND at least 6 years of hands-on engineering experience in programming languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent practical experience.
- Masters Degree in Computer Science or a related discipline AND at least 8 years of technical engineering experience OR a Bachelors Degree in Computer Science or a related field AND a minimum of 12 years of engineering experience with relevant programming languages OR equivalent practical experience (preferred).
- Strong foundational knowledge in full-stack development, covering both front-end (React, TypeScript) and back-end systems.
- Proficiency in Python or similar languages for server-side development.
- Experience in developing scalable web APIs and services.
- Ability to thrive in ambiguous situations and a capacity to work quickly in loosely defined problem areas.
- A keen eye for excellent product experiences and a commitment to delivering impactful work.
Responsibilities
- Design and implement innovative experiences that transform the role of an AI companion.
- Develop functionalities across various modalities including voice, vision, text, and actions to create a seamless integration within Copilot.
- Manage features from initial concept to production, ensuring scalability throughout the process.
- Collaborate with applied AI researchers to integrate advanced model capabilities into user experiences.
- Rapidly deploy experiments, analyze user interactions, and refine experiences to evoke a sense of wonder.
- Work collaboratively across different teams to address challenges that encompass the entire product ecosystem.
Description
At Microsoft, we are pioneering advancements in AI and seeking motivated individuals to tackle some of the most compelling challenges in artificial intelligence today. Our vision is expansive, aiming to develop systems that embody true artificial intelligence across various agents, applications, services, and infrastructures. Inclusivity is at our core as we strive to make the benefits of AI accessible to all - whether consumers, businesses, or developers. Our team is dedicated to building innovative cross-functional capabilities that will define the future of human-AI collaboration, focusing on various modalities such as text, voice, vision, and actions. We believe in creating an environment where AI not only reacts but also interacts, creates, and orchestrates, making Copilot an indispensable AI companion. If you are passionate about shaping the future of human and AI coexistence, we invite you to join us in this transformative journey.
Something wrong or incorrect with this job? Tell us in the chat 💬 on the right ➡️
You can find Machine Learning Engineer salaries in the United States here.
How many Machine Learning Engineer jobs are in the United States?
Currently, there are 2021 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.
Is the US a good place for Machine Learning Engineers?
The US is one of the best countries to work as a Machine Learning Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Machine Learning Engineer jobs in the United States?
LYNKED Inc., KUBRA, Mediaweb.ca, Brain Box, Valnet Inc., D3 Security Management Systems, Bank of Canada among others, are currently hiring for ML, AI roles in the United States.
The company with most openings is Jobot as they are hiring for 169 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.
The company with most openings is Jobot as they are hiring for 169 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.