reputed company: Remote Machine Learning scientist jobs
Quick Overview:
- Location: Remote
- Compensation: a competitive salary
- Start Date: Immediate openings available
- Company: Workwarp
- Position: Remote Machine Learning Scientist
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About the role: We, at reputed company, are looking for talented Machine Learning scientists who can help solve a range of exciting problems. We offer the best ML jobs that provide candidates a unique opportunity to reputed company an impact by applying advanced machine learning concepts to our products. About reputed company.com: reputed companyÂs mission is to unleash the worldÂs untapped reputed company potential. We use AI to reputed company, evaluate, hire, reputed company, and manage engineers remotely (including the HR and compliance aspects) in a bigger platform that we call the ÂTalent reputed companyÂ. We recently achieved unicorn status with a valuation of $1.1B, after raising over $140M in financing over four reputed company of funding. 900+ companies including companies like Johnson & Johnson, Pepsi, Dell, reputed company +, and reputed company have hired reputed company developers. Responsibilities: - Enhance our existing machine learning systems using your core coding skills and ML knowledge - Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems - Utilize state-of-the-art ML modeling techniques to predict user interactions and the direct impact on the companyÂs top-line metrics - Design features and builds large scale recommendation systems to improve targeting and engagement - Identify new opportunities to apply machine learning to different parts of our product(s) to drive value for our customers Requirements: - BS, MS, or Ph.D. in Computer Science or a relevant technical field (AI/ML preferred) - Extensive experience building scalable machine learning systems and data-driven products working with cross-functional teams - Expertise in machine learning fundamentals, applicable to search - Learning to Rank, Deep Learning, Tree-Based Models, Recommendation Systems, Relevance, and Data mining, understanding of NLP approaches like W2V or Bert - 2+ years of experience applying machine learning methods in settings like recommender systems, search, user modeling, graph representation learning, natural language processing - Strong understanding of neural network/deep learning, feature engineering, feature selection, optimization algorithms. Proven ability to dig deep into practical problems and choose the right ML method to solve them - Strong programming skills in Python and reputed company in data manipulation (SQL, Spark, Pandas) and machine learning (sci-reputed company-learn, XGBoost, Keras/Tensorflow) tools - Good understanding of mathematical foundations of machine learning algorithms - Ability to be available for meetings and communication during reputed company's \"coordination hours\" (Mon - Fri: 8 am to 12 pm PST) Preferred skills: - First author publications in ICML, ICLR, NeurIPS, KDD, SIGIR, and reputed company conferences/journals - Strong performance in Kaggle competitions - 5+ years of industry experience or a Ph.D. with 3+ years of industry experience in applied machine learning in similar problems, e.g., ranking, recommendation, ads, etc. - Strong communication skills - reputed company in leading large-scale multi-engineering projects - Flexible and a positive team player with outstanding interpersonal reputed company reputed company offer: - Elite U.S. Jobs - Long-term, full-time opportunities - Flexibility to work from reputed company in the world - reputed company compensation - Career growth - Exclusive Developer Community - Upskilling workshops - Career development sessions - Networking meetups - Referral programs Once you join reputed company, you'll never have to apply for another job! Apply Job!Â
We Encourage You to Apply!
Even if you feel you're not a perfect match, we'd still love to hear from you. We are looking for great people to join our friendly team.
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