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Keystone is a premier consulting firm that combines economics, technology, and strategy to solve complex challenges facing global brands. We impact society on a global scale by working at the forefront of influential technology cases changing consumer behavior and regulation laws. We also provide value by delivering insights and product that defines the future of the technological ecosystem. Keystone brings an interdisciplinary approach, leveraging the intersection of economics, software and technology, and business strategy to deliver transformative ideas.
At Keystone we believe everything is an opportunity for creativity. Transformative ideas can contradict common knowledge. Work hard and be nice to people. Trust can get through catastrophe. Impact takes work. It is never too far gone to salvage. We can deliver anything. Unprecedented outcomes come from unconstrained thinking.
Position overview:
As Staff ML Engineer, you will leverage your deep understanding of machine learning, software engineering, and problem solving to build scalable, robust solutions for clients. You’ll spearhead the entire development process, working with our econometricians and engineering teams to scope solutions, train models, deploy into production environments, and set up monitors, alerts and diagnosis tools to support the ML model operations. We are a consultancy where traditional reporting lines are not clearly demarcated. Because we operate like a startup the most successful candidates will have a broad range of production software development skills, flexibility to wear many hats, and an enthusiasm to learn and teach along the way.
Role and Responsibilities:
In your role as a Machine Learning Engineer, you will be instrumental in developing and deploying cutting-edge machine learning models and software applications to deliver these models. Your primary responsibilities will include:
Requirements:
US Salary Range: $175,000 - $235,000, plus an annual discretionary bonus, 401k contribution, and competitive benefits package. Actual compensation within the range will depend upon the level the individual is hired into based on their skills, experience, qualifications.
At Keystone we believe diversity matters. At every level of our firm, we seek to advance and promote diversity, foster an inclusive culture, and ensure our colleagues have a deep sense of respect and belonging. If you are interested in growing your career with colleagues from varied backgrounds and cultures, consider Keystone Strategy.
Full Time
$125k-153k (estimate)
06/22/2024
07/20/2024
The job skills required for Machine Learning Engineer include Java, Computer Science, Python, Software Development, Kubernetes, Programming Language, etc. Having related job skills and expertise will give you an advantage when applying to be a Machine Learning Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Machine Learning Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Machine Learning Engineer positions, which can be used as a reference in future career path planning. As a Machine Learning Engineer, it can be promoted into senior positions as a Software Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Machine Learning Engineer. You can explore the career advancement for a Machine Learning Engineer below and select your interested title to get hiring information.