FAANG companies are hiring for the highest paying machine learning jobs across the globe

Over the past two decades, machine learning has evolved to become a major technology revolutionizing the digital ecosystem. With its origins in computer algorithms, ML is capable of training datasets and improving the experience. Machine learning, along with artificial intelligence, is developing programs that can access data and teach themselves. As this concept has hit mainstream acceptance, the commercial sphere is looking for candidates who can fill machine learning jobs. They are seeking individuals with data science and machine learning skills. Especially, FAANG companies are hiring for the highest paying machine learning jobs across the globe. However, landing an ML job at a big company means knowing not just data science, but also critical skills like programming and system design. More often than not, FAANG companies look for candidates who are versatile and multi-talented. Even freshers can land amazing machine learning jobs with exemplary data science and artificial intelligence skills. Analytics Insight has listed the top machine learning jobs that aspirants should apply for in May 2022.

Top Machine Learning Jobs to Apply For

 Software Engineer, Machine Learning at Google

Location(s): Bengaluru

Roles and Responsibilities: As a software engineer specializing in machine learning, the candidate should design, develop, test, deploy, maintain and improve ML models/infrastructure and software that uses these models. He/she should manage individual project priorities, deadlines, and deliverables. They should participate in curing edge research in artificial intelligence and machine learning applications.

Qualifications:

• The candidate should have a Bachelor's degree in computer science, or related technical field, or equivalent work experience.
• He/she should have at least 5 years o relevant work experience.
• They should have experience designing and implementing distributed software systems like Java, C++, or Python.

Apply here for the job.

Software Engineer, Machine Learning at Meta

Location(s): Remote

Roles and Responsibilities: The software engineer play a critical role in setting the direction and goals for a sizeable team, in terms of project impact, ML system design, and ML excellence. He/she should be a go-to person to escalate the most complex online/production performance and evaluation issues that require an in-depth knowledge of how the machine learning system interacts with systems around it.

Qualifications:

• The candidate should have experience in one or more of the areas such as machine learning, recommendation systems, pattern recognition, data mining, or artificial intelligence.
• He/she should have a proven ability to translate insights into the business.
• Experience with Hadoop, HBase, Pig, or Spark Expert knowledge in developing production-level ML products is mandatory.

Apply here for the job.

Machine Learning Engineer, AI Research & Education at Amazon

 Location(s): Santa Clara, CA

Roles and Responsibilities: AWS is looking for world-class engineers to join its AI research and education group working on a new ML-based product at the intersection of relational learning, semantic representation, natural language processing, and data integration. In this role, he/she will leverage expertise in areas such as schema matching, entity recognition, and linking, relationship extraction, data lineage identification, text generation, dataset summarization, structured and unstructured data representation learning, and knowledge graphs generation to develop a semantic layer connecting the assets stored in large data lakes.

Qualifications:

• The candidate should have 4+ years of professional software development experience.
• He/she should have 3+ years of programming experience with at least one software programming language.
• Experience as a mentor, tech lead, or leading an engineering team is mandatory.

Apply here for the job.

ML Data Linguist at Amazon

Location(s): Remote

Roles and Responsibilities: Amazon Web Services (AWS) is looking for a machine learning data linguist to join the AI, data team. This role focuses on speech and language data in Hindi and English, primarily in the areas of speech transcription, text annotation, and other general development of high-quality language data deliverables. The successful candidate must have a background in analyzing the target languages and a passion for efficiency and accuracy.

Qualifications:

• The candidate should have a Bachelor's degree in Linguistics, speech processing, communication, cognitive science, or a related field.
• He/she should have 1-year of experience with natural language data labeling and other forms of data markup.

Apply here for the job.

Machine Learning Engineer at AWS

Location(s): Seattle

Roles and Responsibilities: The AWS Developer Tools is looking for Machine Learning Engineers who are excited to join a new team responsible for building an innovative product that is set to redefine the developer experience. In this role, the candidate will invent, implement, and deploy infrastructure and systems for state-of-the-art machine learning algorithms, build prototypes, and explore conceptually new representation learning solutions at a massive scale.

Qualifications:

• The candidate should have 1+ years of experience contributing to the system design or architecture of new and current systems.
• He/she should have 2+ years of non-internship professional software development experience.
• Programming experience with at least one software programming language is mandatory.

Apply here for the job.

Sr. Machine Learning Engineer, Maps Search & Data ML at Apple

Location(s): California, United States

Roles and Responsibilities: Maps Search & Data ML Team is looking for creative and motivated contributors who thrive in a dynamic environment and enjoy working in small teams. As a member of the team, the candidate will work on applied machine learning and natural language processing algorithms to solve problems that focus on topics such as classification, ranking, clustering, and related algorithms to augment and enrich points of interest.

Qualifications:

• The candidate should have 5+ years of experience in building large-scale machine learning systems.
• Experience working with large-scale and real-world datasets is mandatory.
• He/she should have experience applying NLP and machine learning techniques to text data.

Apply here for the job.

Senior Research Scientist- Product Machine Learning Research at Netflix

Location(s): Los Gatos, California

Roles and Responsibilities: As a senior researcher in the product ML research team, the candidate will have the opportunity to drive and executive bleeding-edge research on a variety of topics, working in close partnership with other researchers in the team, the algorithms engineering teams, and a wide range of product teams. They will work cross-functionally with engineering and product prototype, test, and implement your research in order to deliver improvements to the member experience and drive change across the company while also being actively engaged with the outside ML community.

Qualifications:

• The candidate should have ample ML research experience in academia or industry.
• He/she should have a history of ideating and leading ambitious research projects inspired by real-world challenges.
• Passion for building strong relationships with stakeholders and colleagues to tackle big, cross-functional problems is mandatory.

Apply here for the job.