Explore Machine Learning Research Scientist opportunities on Ladders, where professionals can find vetted jobs paying $100,000 or more. These roles bring together scientific inquiry, advanced mathematics, and software engineering to develop new machine learning methods and put them to work on real-world problems.
Machine Learning Research Scientists design experiments, develop and evaluate algorithms, analyze data, and communicate findings. Depending on the role, they may focus on areas such as deep learning, natural language processing, computer vision, reinforcement learning, generative AI, or responsible AI. Some positions emphasize publishing and fundamental research, while others prioritize translating research into reliable products and services.
Employers often seek strong foundations in machine learning, statistics, linear algebra, and optimization, along with practical programming experience in languages such as Python. Experience with modern frameworks, large-scale data or model training, experimental design, and clear technical communication can also be valuable. Requirements vary: some roles expect a doctorate or research publications, while others value equivalent industry experience and a record of impactful work.
Machine Learning Research Scientists work in technology companies, research labs, financial services, healthcare, and other industries applying AI. Career paths may lead to senior or principal research roles, research leadership, applied science, or engineering positions. The right opportunity depends on your research interests, preferred balance of theory and implementation, and the problems you want to solve.
Use Ladders to explore vetted Machine Learning Research Scientist openings with salaries of $100,000 or more. Review each listing’s responsibilities, qualifications, location, and compensation details to identify roles that align with your experience and goals.
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Reposted today
What does a Machine Learning Research Scientist do?
A Machine Learning Research Scientist studies and develops machine learning techniques, designs experiments, evaluates models, and shares results. The work may advance foundational research or apply new methods to products and industry problems.
What qualifications are commonly required for Machine Learning Research Scientist jobs?
Many roles call for expertise in machine learning, statistics, mathematics, and programming, commonly including Python. Some employers require a doctorate or publications; others consider equivalent industry experience and demonstrated research impact.
Which skills are important for Machine Learning Research Scientists?
Commonly valued skills include algorithm development, experimental design, statistical analysis, model evaluation, programming, and communicating technical findings. Specialization in areas such as NLP, computer vision, deep learning, or generative AI may be relevant to particular roles.
Where do Machine Learning Research Scientists work?
They work in technology companies, dedicated research labs, financial services, healthcare, and many other organizations that develop or use AI and machine learning.
What salary range can I expect from jobs listed on Ladders?
Ladders focuses on vetted professional jobs paying $100,000 or more. Compensation varies by employer, location, seniority, and specialization, so review individual listings for available salary information.