1623 IT & Software Developer jobs in the US

AI Researcher at AI.x
$84,000 - 112,000
Charles Schwab
Main Street 211, San Francisco
$84,000 - 112,000
Requirements
Must:
- A masters or advanced degree in Computer Science, Mathematics, Physics, or a related field, or equivalent industry experience
- Over 7 years of experience in AI and machine learning research and development using Python
- More than 7 years of experience in building data pipelines and conducting data analyses with large datasets
- At least 3 years of experience in employing AI models to drive business value
- Advanced knowledge in machine learning, natural language processing, and/or generative AI
- Strong fundamentals in data science, including proficiency in SQL, and Python data frames (e.g. pandas)
- Solid computer science fundamentals, including the ability to write unit tests
- Experience in working with large language models and deploying LLM-powered applications
- Proven ability to solve complex problems with ambiguous or incomplete data
- Experience mentoring engineers through clear feedback, presentations, and code reviews
- A proactive curiosity about new technologies and processes, with a commitment to personal and team improvement
- Strong communication skills, balancing both written and verbal communication effectively
- A demonstrated mindset focused on continuous learning and improvement
- Business domain knowledge related to previous products worked on
Responsibilities
- Design, investigate, and create innovative AI models and algorithms that enhance the client experience and generate business value
- Collaborate closely with architects, engineers, and business leaders to ensure research aligns with Schwabs enterprise strategy
- Mentor and coach junior researchers, fostering robust scientific practices and a culture of ongoing learning
- Lead by example in addressing complex technical challenges and promoting advanced research standards
- Drive rapid experimentation from concept to practical application
- Bring curiosity and creativity to shape the future of AI at Schwab
Description
At Schwab, we offer a unique opportunity to build a rewarding career while making a meaningful impact on the lives of our millions of clients. We pride ourselves on innovative thinking and collaborative problem-solving, with a commitment to office-based teamwork at our San Francisco location. Joining our AI Strategy & Transformation team, AI.x, means becoming part of a dynamic group focused on leveraging artificial intelligence to transform the financial industry. We offer a competitive benefits package, including a 401(k) with company match, employee stock purchase plan, paid time for vacation and volunteering, tuition reimbursement, and comprehensive health, dental, and vision insurance. Embrace the chance to grow through continuous learning and meaningful work at Schwab, where we prioritize both professional development and a supportive team culture.
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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 1623 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?
Sched LLC, Jump, Meitou Inc., D3 Security Management Systems, LawDepot, GE Aerospace, DataAnnotation among others, are currently hiring for ML, AI roles in the United States.
The company with most openings is Boeing as they are hiring for 50 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 Boeing as they are hiring for 50 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.