Seekr Technologies
Seekr Technologies is a company focused on developing advanced artificial intelligence solutions designed to increase accuracy and reduce complexity in AI deployments. Their platform offers products like SeekrFlow and SeekrAlign, which streamline AI model training and deployment, ensuring trust, reliability, and adaptability across industries. Seekr provides tailored AI platforms for various sectors, including government, allowing clients to build reliable AI applications that enhance operational efficiency. Seekr's technologies address real business problems by using contextual AI to help clients extend their reach and revenue through trusted content management. The company is recognized for its innovative solutions in the field of AI and its collaboration with top companies to provide transparent and responsible AI solutions.
web search • information evalution • document quality scoring
Machine Learning Engineer
June 25, 2024
🇺🇸 United States – Remote
💵 $160k - $220k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
Seekr Technologies
Seekr Technologies is a company focused on developing advanced artificial intelligence solutions designed to increase accuracy and reduce complexity in AI deployments. Their platform offers products like SeekrFlow and SeekrAlign, which streamline AI model training and deployment, ensuring trust, reliability, and adaptability across industries. Seekr provides tailored AI platforms for various sectors, including government, allowing clients to build reliable AI applications that enhance operational efficiency. Seekr's technologies address real business problems by using contextual AI to help clients extend their reach and revenue through trusted content management. The company is recognized for its innovative solutions in the field of AI and its collaboration with top companies to provide transparent and responsible AI solutions.
web search • information evalution • document quality scoring
📋 Description
• Design, implement, and deploy machine learning algorithms • Manage machine learning algorithm lifecycle • Coordinate data collection and annotation efforts • Work with real-time data and content coming from various data sources • Manage machine learning data pipelines. • Design tests for machine learning algorithm effectiveness and performance monitoring. • Design tools and interfaces for interactive machine learning and teaching. • Research and development on cutting-edge machine learning technologies.
🎯 Requirements
• Graduate degree in Computer Science with a strong background in machine learning required • Strong problem-solving abilities, solid background in algorithms and data structures required • Strong programming skills in Python and Scala required. Experience in other programming languages (eg. Java, R, Haskell) a plus • Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required • Experience with distributed and streaming data technologies (eg. Hadoop, Spark, Kafka) required • Experience with building and deploying API's with Docker and Kubernetes required • Experience with natural processing tasks (eg. named entity recognition, language modeling, vector representations) required • Experience with Elastic Search, Lucene a plus but not required • Experience with ranking algorithms a plus but not required • Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required
🏖️ Benefits
• Working with a smart and talented team to solve the big misinformation problems in news we currently face • Exciting and cutting-edge technologies at scale • 100% remote position - work from where you like • Highly competitive salary • Company investment in training, certifications, and your professional development • Company Bonus Plan • Employee Equity Program • 401k Retirement plan with matching • Medical, Dental and Vision Insurance for you and your family • Life Insurance / Disability • Unlimited PTO • 13 Paid Holidays • Employee Assistance Program
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May 30, 2024
🇺🇸 United States – Remote
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💰 $21.4M Post-IPO Equity on 2022-11
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🟡 Mid-level
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