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Weekend No Experience Machine Learning Jobs in California

Hive

Machine Learning Engineer

San Francisco, CA

$120K - $180K/yr

We value hard workers who have no qualms working with terabyte-scale datasets, who are interested ... Our ideal candidate has experience creating a working machine learning-powered project from the ...

RIT Solutions

Machine Learning Engineer

Fremont, CA

Machine Learning Engineer Location: Fremont, CA Duration: 12+ Months Tesla/ $65 About the Role Our ... This position requires hands-on experience with model development, deployment, monitoring, and ...

Apple

Machine Learning Engineer

Sunnyvale, CA

$147K - $272K/yr

Experience or strong personal curiosity with designing imaging and sensing systems. Strong independent problem-solving and communication skills. Solid understanding of machine learning, deep learning ...

MM International

Machine Learning Engineer

Fremont, CA · On-site

Real-world experience deploying and maintaining machine learning solutions in production environments. * Passion for clean, sustainable, and modular code to bring research concepts to practical ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Experience with one of the following: machine learning/deep learning systems, computer vision, graphics, computational imaging applications.Experience with Pytorch. MS/PhD in computer vision ...

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

Real-world experience deploying and maintaining machine learning solutions in production environments. Passion for clean, sustainable, and modular code to bring research concepts to practical ...

Motorola

Machine Learning Engineer

Los Angeles, CA

Minimum of 3 years of experience in machine learning, with demonstrated application to real-world problems; 1 year of machine learning experience with a PhD. * Strong foundation in supervised and ...

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

We value hard workers who have no qualms working with terabyte-scale datasets, who are interested ... Our ideal candidate has experience creating a working machine learning-powered project from the ...

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

We value hard workers who have no qualms working with terabyte-scale datasets, who are interested ... Our ideal candidate has experience creating a working machine learning-powered project from the ...

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Weekend No Experience Machine Learning information

What kind of support and training can I expect as someone starting a weekend machine learning role with no prior experience?

In a weekend machine learning role designed for beginners, you can typically expect onboarding sessions, access to online learning materials, and mentorship from more experienced team members. Many organizations provide structured guidance through tutorials, code reviews, and collaborative projects to help you build foundational skills. You’ll likely be assigned manageable tasks that allow you to gradually familiarize yourself with real datasets and tools, while regular feedback ensures your steady progress. Team meetings and open communication channels are common, so don’t hesitate to ask questions and seek help as you learn.

What is the difference between Weekend No Experience Machine Learning vs Weekend Data Analyst?

AspectWeekend No Experience Machine LearningWeekend Data Analyst
Required CredentialsBasic understanding of programming, no formal certification neededBasic knowledge of data analysis tools, possibly some certifications
Work EnvironmentProject-based, flexible hours, often remotePart-time, flexible hours, often remote or on-site
Industry UsageTech, finance, healthcare, startupsBusiness, marketing, finance, consulting

Weekend No Experience Machine Learning roles focus on introductory tasks like data preprocessing and basic model training, suitable for beginners. Weekend Data Analyst positions involve analyzing datasets, creating reports, and supporting decision-making. Both roles are flexible and often part-time, but they differ in technical depth and industry focus.

What are the key skills and qualifications needed to thrive as a Machine Learning professional with no prior experience working weekends, and why are they important?

To thrive as a Machine Learning professional, foundational knowledge in mathematics, statistics, and programming (especially Python) is essential, typically demonstrated through coursework or self-directed learning. Familiarity with machine learning libraries such as scikit-learn or TensorFlow and version control systems like Git is highly beneficial, even at an entry level. Curiosity, problem-solving abilities, and effective communication help newcomers stand out as they learn quickly and collaborate with more experienced team members. These skills and qualities are crucial to building practical expertise, contributing to projects, and adapting to the evolving demands of machine learning roles.

What is a Weekend No Experience Machine Learning job?

A Weekend No Experience Machine Learning job is a part-time opportunity typically scheduled on weekends for individuals interested in machine learning but who have little or no prior experience in the field. These jobs are designed for beginners and may involve tasks such as data labeling, assisting with simple coding projects, or supporting research teams. They provide a great entry point for those looking to gain hands-on experience, learn industry tools, and build their resumes while balancing other commitments like school or a full-time job.
What are popular job titles related to Weekend No Experience Machine Learning jobs in California? For Weekend No Experience Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Weekend No Experience Machine Learning jobs in California look for? The top searched job categories for Weekend No Experience Machine Learning jobs in California are:
What cities in California are hiring for Weekend No Experience Machine Learning jobs? Cities in California with the most Weekend No Experience Machine Learning job openings:
Weekend No Experience Machine Learning jobs near you
Machine Learning Engineer

Machine Learning Engineer

Hive

San Francisco, CA

$120K - $180K/yr

Other

Posted 12 days ago

Job description

Machine Learning Role

In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.

Responsibilities
  • Everything involved in applying a ML model to a production use case, including, designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed
  • Interface closely with the Backend and DevOps teams as well as with our internal data labeling services
  • Utilize OWASP top 10 techniques to secure code from vulnerabilities
  • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
  • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
  • Report actual or suspected security and/or policy violations/breaches to an appropriate authority
Requirements
  • You have an undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics
  • You have 1-2 years industry machine learning experience
  • You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a personal project
  • You have strong experience with a high-level machine learning frameworks such as Tensorflow, Caffe, or Torch, and familiarity with the others
  • You know the ins and outs of Python, especially as it applies to the above ML frameworks
  • You are capable of quickly coding and prototyping data pipelines involving any combination of Python, Node, bash, and linux command-line tools, especially when applied to large datasets consisting of millions of files
  • You have a working knowledge of the following technologies, or are not afraid of picking it up on the fly: C++, Scala/Spark, SQL, Cassandra, Docker
  • You are up-to-date on the latest deep neural net research and architectures, both in understanding the theory and motivations behind the techniques, as well as how to implement them in the ML framework of your choice
  • You have great communication skills and ability to work with others
  • You are a strong team player, with a do-whatever-it-takes attitude

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $120,000 - $180,000. Actual compensation may vary depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.

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