TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo. Why Join Us At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire – for you, for us, and for more than 1 billion users on our platform.

Artificial intelligence (AI) and machine learning (ML) have become increasingly important in the modern business landscape, revolutionizing industries by automating processes, providing valuable insights, and enhancing decision-making. At the heart of these AI-driven solutions are machine learning engineers who play a crucial role in developing, implementing, and maintaining ML algorithms and models for various applications. As AI continues to permeate every aspect of our lives, assembling a capable and skilled AI team is more important than ever for businesses looking to stay competitive and innovative. In this blog post, we will guide you through the process of hiring a machine learning engineer for your AI team, from defining project requirements to fostering a collaborative and supportive work environment. Before starting the hiring process, it's essential to have a clear understanding of your project requirements, as this will help you identify the specific skills and expertise needed for your machine learning engineer.

The FI Data & Analytics Technology team is seeking an enthusiastic machine learning engineer to work on AI/ML solutions in support of our FI Business partners. Our team provides modern cloud-based data solutions for the broader FI organization that enables the Sales, Marketing, Finance, and AI/ML Analytics capabilities. This role will be a key contributor of solutions that support the Data Science Agile teams in the FI Advanced Analytics Solutions Product Area. As a Machine Learning Engineer, you will be responsible for developing cloud "infrastructure as code" components, shared Python frameworks, and data pipelines that integrate AI/ML model predictions with employee and customer facing applications. As a Software Engineer focused on AI/ML Model training and inference pipelines, you will utilize your technical capabilities along with your domain expertise to develop innovative solutions.

CAFU has a vision to create a better world through connected mobility, serving both consumers and businesses. We started as an on-demand fuel delivery app and have now extended our services to car wash, tyre change, battery change and insurance…but this is only the beginning. We have global plans to become a super app, offering products & services which are agnostic of fuel and mobility. Cafu is a technology business passionate about sustainability and positively impacting the communities we operate in. We've already won awards for best AI platform and voted LinkedIn's Number 1 Top Start-ups 2021!

AI/ML Job: ML Engineer ML Engineer at Nobias Remote › Worldwide, 100% remote position (Posted Feb 18 2023) Please mention that you found the job at Jobhunt.ai Apply now! Job description Calling all ML engineers, computational biologists, and medicinal or computational chemists Nobias is a new pharma startup using a variety of AI tools to speed drug development. We are an early stage biotech using large repositories of biological data, cutting edge deep learning techniques, automated reasoning, and computational biochemistry to discover and develop new medicines, diagnostics, and insights for a variety of diseases. We have a world-class team, and are looking for the best people at the frontiers of technology and biology. If you have strong programming chops, a background in ML, and deep knowledge of biology or computational biology/chemistry, we would love to talk to you.

Enable creativity by giving access to everything related to the creative process: inspiration, learning, creating and sharing. The'Creative Inspiration Flywheel' This creates a self-sustaining community that lives within the Creative Fabrica ecosystem. We launched in 2016 as a marketplace for fonts with a subscription service. In the last 6 years we have been through tremendous growth, and we're just getting started! We have scaled to 40 million monthly page views, viewing over 10 million listed products from 14000 active designers.

Liftoff is the leading growth acceleration platform for the mobile industry, helping advertisers, publishers, game developers and DSPs scale revenue growth with solutions to market and monetize mobile apps. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence. Looking for an engineer to build machine learning models with our data science team. Liftoff is committed to providing and maintaining a work environment where all employees and candidates are treated with dignity and respect and that is free of bias, prejudice, and harassment. Liftoff is further committed to providing an equal employment opportunity for all employees and candidates for employment free from discrimination and harassment on the basis of sex, gender (including sexual harassment, gender harassment, and harassment due to pregnancy, childbirth, breastfeeding, and related conditions), sexual orientation, gender identity, gender expression, gender nonconformity, race, creed, religion, color, national origin, ancestry (including association, affiliation, or participation with persons or activities related to national origin, English-proficiency or accent, or immigration status), physical or mental disability, medical condition(s), genetic information of an individual or family member of the individual, marital or domestic partner status, age, veteran or military status, family care status, requesting or taking pregnancy, parental or disability leave, requesting an accommodation, or any other characteristic protected by federal, state, or local law, regulation, or ordinance.

Masters India IT Solutions is a growing FinTech SaaS firm, serving over 1500 enterprises. Masters India is one of the biggest GST Suvidha Providers (GSP) appointed by the Goods and Services Tax Network (GSTN) of Government of India since 2017. Our mission is to build intuitive software solutions for complex problems faced by businesses across the industries. We are fulfilling our mission by offering tax and financial automation products to enterprises. Masters India IT Solutions is a part of 44 year old Masters India group which is into Manufacturing, Healthcare, Hospitality and IT with an aggregate turnover of INR 1000 Crores.

Section 4 (Days 11 – 18): we will learn: (1) machine learning regression fundamentals including simple/multiple linear regression and least sum of squares, (2) build our first simple linear regression model in Scikit-Learn, (3) list all available built-in algorithms in SageMaker, (4) build, train, test and deploy a machine learning regression model using SageMaker Linear Learner algorithm, (5) list machine learning regression algorithms KPIs such as Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Percentage Error (MPE), Coefficient of Determination (R2), and adjusted R2, (6) Launch a training job using the AWS Management Console and deploy an endpoint without writing any code, (7) cover the theory and intuition behind XG-Boost algorithm and how to use it to solve regression type problems in Scikit-Learn and using SageMaker Built-in algorithms, (8) learn how to train an XG-boost algorithm in SageMaker using AWS JumpStart, assess trained ...

Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on. Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby -- neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 305,000 neighborhoods across 11 countries. At Nextdoor, machine learning is one of the most important teams we are growing.