Sr. Machine Learning Engineer

About the Role:

Nice to have:

• Experience with modeling frameworks (e.g. Tensorflow, PyTorch, JAX).
• Experience with data orchestration tools such Airflow.
• Exposure to on the fly code execution for large files.
• Experience with data analysis / data science.
• Ability to translate research work into practical proofs of concept.
• We also look for:
• Passion
• Initiative and a Pioneering Spirit
• Quality orientation
• Resourcefulness and application
• Are you the person we’re looking for?
• Big picture thinker with laser focus. You have a unique ability to see both the forest and the trees. It’s what sets you apart from the rest. You start with a good understanding of the broader strategy, zoom in to assess one particular aspect of that strategy, and then zoom back out to see how changes to that particular area will affect the broader process.
• Expert relationship cultivator. Product managers think you’re a good partner -- because you are. Developers feel you respect their opinions -- because you do. You’re a true people person, a natural collaborator, and a highly sought-after resource.
• Quality orientation. You have proven success at writing quality user stories and analysis deliverables through the application of established criteria like INVEST and SMART. Your work is thoughtful, timely and valuable to the team.
• Resourcefulness and application. At Revionics, we have a pioneering spirit -- when we have questions, we find answers; when we’re faced with challenges, we find solutions. We turn to a variety of resources, including our own colleagues, our professional network, the Internet, articles and books -- whatever helps us get the job done. But it’s not just about using a variety of resources to gain knowledge -- it’s also about applying that knowledge to other areas of the job or business where it might make sense.
• The pay range for this position is between $120,000 - 170,000 plus Incentive Bonus. Starting salary may vary based on a number of factors including, but not limited to, the position being offered, location, education, training, and/or experience.
• We offer a competitive total rewards package including a base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility.
• We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. By submitting an application for this job, you acknowledge that any personal data or personally identifiable information that you provide to us will be processed in accordance with our Candidate Privacy Notice.
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