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Associate Machine Learning Government Jobs in California

Capgroup

Senior Machine Learning Engineer

Irvine, CA

$112.20K - $154K/yr

We believe that belonging leads to better outcomes and a stronger community of associates united by ... Design and implement scalable, production-quality systems that incorporate machine learning and ...

Capgroup

Senior Machine Learning Engineer

Los Angeles, CA · On-site

$112.60K - $154.60K/yr

We believe that belonging leads to better outcomes and a stronger community of associates united by ... Design and implement scalable, production-quality systems that incorporate machine learning and ...

Walmart

Staff, Machine Learning Engineer

Sunnyvale, CA

$130K - $260K/yr

We are looking for a strong Staff Machine Learning Engineer who has the passion to develop AI driven intelligent products for the Associate Productivity and Experience team, with the ability to ...

Hum AI

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123.10K - $169.10K/yr

Senior Machine Learning Engineer Location: San Francisco About Hum.ai Hum.ai is building planetary ... removal, and government to protect and positively impact our increasingly changing world. Our ...

Intuitive

Senior Machine Learning Engineer

Sunnyvale, CA · On-site

$143.80K - $189.50K/yr

Deep understanding and hands-on experience in computer vision, and machine learning algorithm ... Government on your behalf (note: the government's licensing process can take 3 to 6+ months) or ...

Intuitive

Senior Machine Learning Engineer

Sunnyvale, CA

$143.80K - $189.50K/yr

Deep understanding and hands-on experience in computer vision, and machine learning algorithm ... Government on your behalf (note: the government's licensing process can take 3 to 6+ months) or ...

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Associate Machine Learning Government information

What is the difference between Associate Machine Learning Government vs Data Scientist Government?

AspectAssociate Machine Learning GovernmentData Scientist Government
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in Data Science, Statistics, or related; certifications like CAP or DASCA are common
Work EnvironmentGovernment agencies, research labs, or defense sectors; focus on ML model development and deploymentGovernment agencies, policy analysis, research; focus on data analysis, modeling, and insights
Employer & Industry UsageFederal, state, or local government; defense, intelligence, or public servicesGovernment departments, research institutions, public policy agencies

Associate Machine Learning Government and Data Scientist Government roles often overlap in credentials and work environment, but the former emphasizes ML model development, while the latter focuses on broader data analysis and insights within government sectors.

What are the most commonly searched types of Machine Learning Government jobs in California? The most popular types of Machine Learning Government jobs in California are:
What are popular job titles related to Associate Machine Learning Government jobs in California? For Associate Machine Learning Government jobs in California, the most frequently searched job titles are:
What job categories do people searching Associate Machine Learning Government jobs in California look for? The top searched job categories for Associate Machine Learning Government jobs in California are:
What cities in California are hiring for Associate Machine Learning Government jobs? Cities in California with the most Associate Machine Learning Government job openings:
Associate Machine Learning Government jobs near you
Machine Learning Engineer - Remote

Machine Learning Engineer - Remote

Harbor Freight Tools

Calabasas, CA • On-site, Remote

$110.80K - $166.10K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

Job Description
The ML Engineer is responsible for the overall development, deployment, and support of our machine learning operations Harbor Freight. This includes the architecture and implementation of tools for model training, model monitoring, feature stores, model deployments, and model maintenance.
This role requires working with multiple levels of the organization, data science teams, application teams, security, software engineering, and business partners. It requires an experienced machine learning engineer with excellent business acumen, very strong technical skills, and data modeling / data warehousing expertise.
This position is technical and analytical in nature.
Duties and Responsibilities
  • Work closely with data scientists and IT in the development and implementation of our Enterprise AI platform.
  • Build and maintain an industry leading MLOps tech stack.
  • Mentor data scientists within the business, ensuring we're building best-in-class models.
  • Optimize the scalability, performance, and reliability of our models by implementing best practices and leveraging industry-standard technologies.
  • Streamline data ingestion, pre-processing, feature engineering, and model training workflows to improve efficiency and reduce latency.
  • Design, build, and maintain a secure and scalable CI/CD framework for data science teams.

Scope
  • Staff supervision and development: No
  • Decision making: Recommends policy and resolves problems
  • Travel: Up to 5%
  • Flex Designation: Anywhere

The anticipated salary range for this position is $110,800 - $166,100 depending on location, knowledge, skills, education and experience. This position is also eligible for an annual discretionary bonus. In addition, we offer comprehensive and competitive benefits to Associates (and their families) such as medical, dental, vision, life insurance, short-term and long-term disability. Eligible Associates are able to enroll in our company's 401k plan. Associates will accrue paid time off up to 236 hours per year (inclusive of PTO, floating holidays, and paid holidays). Paid sick time up to 80 hours per year unless otherwise required by law.
Requirements
Education and Experience
Education Requirements
  • Bachelor's in Computer Science, Mathematics, Statistics, Engineering, or a related field.
  • Master's degree or Ph.D. is a plus.

Years of Experience
  • 2-4 years experience as ML engineer or data scientist in a Big Data ecosystem, with a desire to assume greater responsibilities as a leader and mentor, while still being hands-on.
  • 2-4 years experience developing, tuning, operationalizing, and monitoring enterprise ML models at scale.
  • 2-4 years experience with public cloud platforms & systems (AWS, GCP, Azure).

Skills
  • Strong knowledge of distributed computing, data structures, data mapping, data warehouse, data mining, business analytics, software development, replication, and distributed/relational databases.
  • Strong technical expertise in scripting (Python) database languages (SQL), and PySpark for model development.
  • Excellent time management and planning skills, organized with the ability to multi-task, exceptional follow-up skills and able to meet deadlines.
  • Excellent written, oral, and interpersonal communication skills, with ability to communicate effectively.
  • Experience to tracking projects and goals to successful completion (with visible metrics).
  • Ability to stay abreast of significant technological developments that may impact the business.
  • Equipped to effectively prioritize, collaborate and excel in a fast-paced, high-pressure environment.
  • Highly self-motivated, self-directed, and attentive to detail, with an emphasis on accuracy, detail, and timeliness.
  • Understanding and experience with project management methodologies.
  • Ability to manage multiple projects concurrently.

Physical Requirements
General office environment requiring ability to:
  • Stand, walk, sit for extended periods of time.
  • Speak and listen to others in person and over the phone and video conferencing.
  • Use keyboard and read from computer screen and reports.
  • The ability to lift up to 15 lbs.

Safety
  • Must be able to perform this job safely in accordance with standard operating procedures and good manufacturing practices, without endangering the health or safety of self or others.

About Harbor Freight Tools
We're a 45 year-old, $8 billion national tool retailer with the energy, enthusiasm, and growth potential of a start-up. We have over 1,600 stores in 48 states across the country and are opening several new locations every week. We offer our customers more than 7,000 tools and accessories, from hand tools and generators to air and power tools, from shop equipment to automotive tools. We provide our customers with the right tool for the right job at the right price, always delivering quality and value.

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