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\nQntfy is looking for a talented and highly motivated ML Engineer to join our team. ML Engineers are responsible for building systems at the crossroads of data science and distributed computing. You will do a little bit of everything: from tuning machine learning models, to profiling distributed applications, to writing highly scalable software. We use technologies like Kubernetes, Docker, Kafka, gRPC, and Spark. You aren’t a DevOps, but an understanding of how the nuts and bolts of these systems fit together is helpful and you aren't a data scientist, but understanding how models work and are applied is just as important. U.S. Citizenship Required Responsibilities\n\n\n* Collaborate with data scientists to get their models deployed into production systems.\n\n* Develop and maintain systems for distributed model training and evaluation.\n\n* Design and implement APIs for model training, inference, and introspection.\n\n* Build tools for testing, benchmarking, and deploying analytics at scale.\n\n* Interface with the technical operations team to understand analytic performance and operational behavior.\n\n* Write and test code for highly available and high volume workloads.\n\n\n\n\nQualifications\n\n\n* BS or Master’s degree in Computer Science, related degree, or equivalent experience.\n\n* 5+ years experience with software engineering, infrastructure design, and/or machine learning.\n\n* Familiarity with Python and machine learning frameworks, paricularly Scikit-learn, Tensorflow, and Pytorch.\n\n* Experience with distributed machine learning using tools like Dask, Tensorflow, Kubeflow, etc.\n\n* Write well-structured, maintainable, idiomatic code with good documentation.\n\n* Strong work-ethic and passion for problem solving.\n\n\n\n\nPreferred Qualifications\n\n\n* Machine learning API development competencies.\n\n* Golang development experience.\n\n* Container orchestration and optimization knowledge.\n\n* Proficiency designing, implementing, and operating large-scale distributed systems.\n\n* Prior experience working in a distributed (fully remote) organization.\n\n\n\n\nQntfy is committed to fostering and supporting a creative and diverse environment. Qntfy is an equal opportunity employer, and as such will consider all qualified applicants for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Engineer, Python and API jobs that are similar:\n\n
$75,000 — $125,000/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.