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Remote Aws Machine Learning Jobs in California (NOW HIRING)

Omnissa

Staff Machine Learning Engineer

Mountain View, CA · On-site +1

$162K - $342K/yr

Experience building and operating data processing workflows (batch or streaming) and working with cloud platforms (AWS, Azure, or GCP). * Solid understanding of machine learning algorithms ...

Capital One

Lead Machine Learning Engineer (IC)

San Jose, CA · On-site +1

$120K - $158K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Capital One

Sr. Lead Machine Learning Engineer

San Jose, CA · On-site +1

$120K - $158K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

YO AI Labs

Machine Learning Engineer - Remote

San Jose, CA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

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Remote Aws Machine Learning information

What is a remote AWS Machine Learning job?

Remote AWS Machine Learning jobs involve working with Amazon Web Services' suite of machine learning tools and services, such as SageMaker, to build, train, and deploy machine learning models. These positions allow professionals to work from anywhere, collaborating with teams virtually while leveraging AWS infrastructure to solve data-driven problems. Responsibilities often include data preprocessing, model development, and deploying scalable solutions in the cloud. Typical job titles may include Machine Learning Engineer, Data Scientist, or AI Developer, all with a focus on AWS technologies. These roles require strong programming skills, experience with cloud computing, and a background in machine learning or data science.

What are the key skills and qualifications needed to thrive as a remote AWS Machine Learning engineer?

To thrive as a Remote AWS Machine Learning Engineer, you need a strong background in machine learning algorithms, statistical analysis, and proficiency in programming languages such as Python, often supported by a relevant degree or certification. Familiarity with AWS services like SageMaker, Lambda, and EC2, as well as experience using cloud-based ML tools and AWS Certified Machine Learning credentials, is typically required. Excellent problem-solving skills, self-motivation, and clear written communication are valuable soft skills for remote collaboration and project management. These skills ensure effective model development, seamless deployment on cloud infrastructure, and successful remote teamwork in delivering scalable ML solutions.

What are some common challenges faced by remote AWS Machine Learning engineers, and how can they be addressed?

Remote AWS Machine Learning engineers often face challenges related to communication and collaboration, especially when working across different time zones and with cross-functional teams. Ensuring secure access to data and cloud resources is another key concern, given the sensitive nature of many machine learning projects. To overcome these challenges, engineers should leverage AWS collaboration tools, maintain clear documentation, and participate in regular virtual meetings. Additionally, setting up robust security protocols and using AWS Identity and Access Management (IAM) helps safeguard project assets while enabling effective teamwork.

What is the difference between Remote Aws Machine Learning vs Remote Data Scientist?

AspectRemote Aws Machine LearningRemote Data Scientist
Required CredentialsAWS certifications, machine learning coursesStatistics, data analysis, programming skills
Work EnvironmentCloud platforms, AWS services, remote teamsData analysis, modeling, research in remote settings
Industry UsageTech, finance, healthcare using AWS ML toolsResearch, consulting, analytics across industries

Remote AWS Machine Learning specialists focus on deploying machine learning models using AWS cloud services, requiring AWS certifications and cloud expertise. Remote Data Scientists analyze data, build models, and interpret results, often with a stronger emphasis on statistics and programming. While both roles work remotely and involve data, AWS Machine Learning roles are more cloud and deployment-oriented, whereas Data Scientists focus on data analysis and research.

What are the most commonly searched types of Aws Machine Learning jobs in California?

The most popular types of Aws Machine Learning jobs in California are:

What are popular job titles related to Remote Aws Machine Learning jobs in California?

For Remote Aws Machine Learning jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Aws Machine Learning jobs in California look for?

The top searched job categories for Remote Aws Machine Learning jobs in California are:

What cities in California are hiring for Remote Aws Machine Learning jobs?

Cities in California with the most Remote Aws Machine Learning job openings:

Remote Aws Machine Learning jobs near you

Machine Learning - Query Optimization Architect

LaBine and Associates

San Mateo, CA • Remote

Full-time

Medical, Dental, Vision

Re-posted 10 days ago

Job description

If you love creating impactful data products, this is a great role for you This is an ideal role for an energetic person who is looking to join a passionate team of world-class researchers and be part of the exciting startup journey

In this remote-friendly role, you will be responsible for path-breaking innovation on the next generation analytics engine.  As part of the founding team, you will create the best-in-class "data learning" optimizer delivering 10x to 100x runtime speed-ups against the most popular cloud data warehouses

Requirements

  • 5+ years of experience in building cost-based query optimizers

  • Solid experience in delivering high-value cloud data products over several product iterations

  • Deep experience with relational databases, NoSQL and data lakes

  • Familiarity with OLAP databases

  • Strong background in Java, Python

  • Familiar with the Git workflow, open-source projects on Github

  • Experience and passion for building complex technological solutions in a fast-paced and unstructured start-up environment

  • Comfortable working quickly, with lots of iterations, and shipping often

  • Excellent communication, collaboration, and interpersonal skills: empathy, listening, teamwork, and a great sense of responsibility

  • Willingness to learn and take on new challenges every day

Bonus Points

  • Experience working with cloud file systems and in-memory databases

  • Familiarity with BI tools

  • Great hacking and debugging skills

  • DevOps skills using AWS, GCP and Azure services

Perks

  • Working with the world’s leading researchers in machine learning and approximate query processing to turn AI algorithms into scalable and automated cloud products

  • A generous equity and salary package

  • Excellent medical, vision, and dental coverage

  • H1B work visa sponsorship

  • Free meals and snacks

  • Childcare vouchers


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About LaBine and Associates

Sourced by ZipRecruiter

LaBine and Associates is a full service talent acquisition firm specializing in executive search for a myriad of industries. Through our partnerships with experienced associates, we can also provide staffing support, expert consultants, and interim executives for your company’s needs. We have deep industry knowledge with understanding in multiple industries. Our specialists include experts in banking/finance, HR/Legal, Technology, Health Care, Life Sciences, Engineering, Energy, Supply Chain, Mining, Agribusiness and manufacturing.

Industry

Professional, scientific, and technical services

Company size

11 - 50 Employees

Headquarters location

San Mateo, CA, US

Year founded

2013

Social media

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