ML Scientist

# Remote machine learning scientist jobsWe, at Turing, 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 make an impact by applying advanced machine learning concepts to our products.## Job description### Job 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 company’s 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### Minimum 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 fluency in data manipulation (SQL, Spark, Pandas) and machine learning (sci-kit-learn, XGBoost, Keras/Tensorflow) tools* Good understanding of mathematical foundations of machine learning algorithms* Ability to be available for meetings and communication during Turing's "coordination hours" (Mon - Fri: 8 am to 12 pm PST)### Preferred skills* First author publications in ICML, ICLR, NeurIPS, KDD, SIGIR, and related 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* Experienced in leading large-scale multi-engineering projects* Flexible and a positive team player with outstanding interpersonal skillApply to Turing today.Clement, NigeriaFull Stack DeveloperI have been working as a full-stack developer at Turing.com for more than a year now. While applying for Turing jobs a year back, I found the Turing test to be very challenging. But it was a good learning experience for me. Through the AI/ML-enabled tests, Turing reviews how good you’re with your skill. Working with Turing has been a very satisfying experience for me so far. I get to work for Silicon Valley companies and enjoy good pay as well. I am also part of an elite community of the world’s best developers.Hadji, AlgeriaFull Stack DeveloperAlthough I had worked at oDesk and Elance (now popularly known as Upwork) for more than 5 years, the pivotal moment in my career came when I joined the global team of Turing in 2020. I never imagine that the role I would be offered would come with such stability and prominence. Apply to be one among many Turing developers. It will change your life like it did mine!Elvis, BosniaiOS DeveloperI work as a Turing iOS developer. My experience with them has been really good. Guys at Turing matched me with a top client super quickly. I found the entire matching process to be very precise and smooth. It’s rare to find a company that delivers on its promises. But both Turing and the company I got matched with kept their promises. From my experience I can tell you once you get here, your work-life becomes easier and you can focus on doing what you love the most.- #### Based on your skills- #### Based on your roleWork with the best software companies in just 4 easy steps### Create your profileFill in your basic details - Name, location, skills, salary, & experience.Machine learning is a branch of artificial intelligence that allows a system to learn from data rather than explicit programming. Before an ML software is used in its intended application, it must first be "trained." The programming uses algorithms that consume training data provided by an ML scientist, allowing for more precise models to be created using that data. Thus, a machine learning model is a result of using data ingestion to train an ML algorithm. When an ML model is fed real-world data after it has been trained, it produces an output. Hence, it becomes a necessity for IT and other companies to post remote ML scientist jobs.Supervised learning, unsupervised learning, reinforcement learning, and deep learning are the four major methodologies used by an ML scientist. An ML scientist needs to have an extensive mathematical understanding to recognize diverse sets of data and describe the fundamental patterns and tendencies in the data. When looking for ML scientist jobs, you must be able to use advanced programming techniques and algorithms to build a system that can ingest a specific type of input and transform it into the appropriate modeling output.Machine learning is gaining traction in a variety of industries, including banking and finance, information technology, media and entertainment, gaming, and the automobile industry. Because the breadth of ML is so broad, there are several areas where academics are trying to revolutionize the world in the future.When it comes to work prospects, the scope of ML in the world is vast in contrast to other career disciplines. According to Gartner, the field of artificial intelligence and machine learning will employ 2.3 million people by 2022. A remote ML scientist jobs compensation is also significantly greater than that of other job categories.According to Forbes, an ML scientist in the United States earns an average of US$99,007. In terms of compensation and work chances, the machine learning field has a lot to offer. It is a viable choice to pursue a lucrative career in machine learning by getting ML scientist jobs.On the team, the ML scientists’ responsibilities include a variety of tasks, such as -* Prototypes in data science should be studied and converted.* Machine learning systems and schemes must be designed and developed.* Using test findings, undertake statistical analysis and fine-tune models.* To locate available datasets for training purposes on the internet.* To train and retrain ML systems and models as needed.* Extend and improve existing ML frameworks and libraries.* To create ML apps that meet the needs of customers and clients.* To investigate, test, and deploy appropriate ML algorithms and tools.* To assess ML algorithms’ problem-solving skills and applications and rate them according to their likelihood of success.* To better understand and discover discrepancies in data distribution that could affect model performance when deployed in real-world scenarios by exploring and visualizing data.Aside from these, for remote ML scientist jobs, roles and responsibilities may include other related tasks. The industry is still in its early stages and many things remain unknown, each organization has its unique set of productive automation approaches.Before deciding whether to pursue a bachelor's or master's degree or enroll in an online Bootcamp, you should have a clear idea of what you want to get out of a career in machine learning. Some remote ML scientist jobs will demand a bachelor's degree in computer science,
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