Machine Learning Engineer at Manifold in Remote You thrive on data-driven development–always looking for ways to analyze and improve with data You know your end goal, and know how to break it down to achieve smaller successes along the way You are comfortable presenting to groups of your peers You value productive communication, and appreciate the importance of written documentation You’ve worked with large data sets You’ve build machine learning and data analysis engines, and have brought them to production You’re familiar with agile software practices Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications Responsibilities Engage with our customers to understand the challenges they are facing, and work with them to produce a strategy and execution plan for their AI goals Define the work that you and other members of your team will execute on, and be able to break down and organize the work appropriately Build and design machine learning pipelines, both consolidating existing databases and building new databases using tools like Python, AWS, SQL, MLFlow, PyTorch, Spark, and more Create design documents that lead to MVPs, and continue iterating on the MVPs into fully developed products Choose machine learning models and evaluate performance in production Expose your machine learning predictions through APIs and Applications developed with other team members Share your knowledge with other team members
$80K — $100K Qualifications You thrive on data-driven development–always looking for ways to analyze and improve with data You know your end goal, and know how to break it down to achieve smaller successes along the way You are comfortable presenting to groups of your peers You value productive communication, and appreciate the importance of written documentation You’ve worked with large data sets You’ve build machine learning and data analysis engines, and have brought them to production You’re familiar with agile software practices Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications Responsibilities Engage with our customers to understand the challenges they are facing, and work with them to produce a strategy and execution plan for their AI goals Define the work that you and other members of your team will execute on, and be able to break down and organize the work appropriately Build and design machine learning pipelines, both consolidating existing databases and building new databases using tools like Python, AWS, SQL, MLFlow, PyTorch, Spark, and more Create design documents that lead to MVPs, and continue iterating on the MVPs into fully developed products Choose machine learning models and evaluate performance in production Expose your machine learning predictions through APIs and Applications developed with other team members Share your knowledge with other team members Benefits $80K — $100K Machine Learning Engineers at Manifold work on a variety of problems, connecting our customers’ desired outcomes to concrete deliverables. Every project is different, from reinforcement learning to computer vision, and you’ll experience a breadth of industries. Our teams are highly collaborative, and you’ll work closely with customers, data and software engineers, and product managers. This… opening is for Machine Learning Engineers of all levels, and our interview process will evaluate your background and experience to assess your current level and enable you to be successful in your role here. What it’s like being a Machine Learning Engineer at Manifold You will have a high degree of autonomy as you work with a nimble, growing team, but some core responsibilities may look like the following. Engage with our customers to understand the challenges they are facing, and work with them to produce a strategy and execution plan for their AI goals. Define the work that you and other members of your team will execute on, and be able to break down and organize the work appropriately. Build and design machine learning pipelines, both consolidating existing databases and building new databases using tools like Python, AWS, SQL, MLFlow, PyTorch, Spark, and more. Create design documents that lead to MVPs, and continue iterating on the MVPs into fully developed products. Choose machine learning models and evaluate performance in production. Expose your machine learning predictions through APIs and Applications developed with other team members. Share your knowledge with other team members. Learn about new areas of machine learning and other parts of our product development stack as suits your career goals. Who you are At Manifold, we embrace our differences–we believe an inclusive and diverse team is critical for innovation. Please get in touch even if you do not match this background description 100%. You thrive on data-driven development–always looking for ways to analyze and improve with data. You know your end goal, and know how to break it down to achieve smaller successes along the way. You are comfortable presenting to groups of your peers. You value productive communication, and appreciate the importance of written documentation. You’ve worked with large data sets. You’ve build machine learning and data analysis engines, and have brought them to production. You’re familiar with agile software practices. Salary Range: $80K — $100K Minimum Qualification Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications Company information Manifold Group is a venture holding company combining an advisory firm, venture fund, and incubation and acceleration studio all under one roof. With expertise in driving growth for companies at all stages of maturity, transforming legacy businesses, and new venture identification and scaling, Manifold Group represents a modern approach to sustainable value creation. Learn more about Manifold Group at Machine Learning, Cloud Computing, Data Integration, Data Management, Developer Tools Privately Held Company Specialties: product strategy, product development, web development, mobile development, product consulting, UI development, digital marketing, innovation consulting, digital transformation, emerging technology, corporate venture, blockchain, data science, machine learning, design thinking, and user experience design #J-18808-Ljbffr
SQL Data Science mlflow Python Apache Spark Machine Learning Amazon Web Services (AWS) PyTorch