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Remote Tesla Machine Learning Engineer Jobs in Arizona

Lead Engineer, Data Platforms

Tempe, AZ ยท On-site +1

$111K - $133K/yr

... machine learning, and AI-driven workflows and will be responsible for designing and implementing ... Location Requirement: This position is eligible for remote work within any state Dutch Bros ...

Senior DevOps Engineer (US REMOTE)

Phoenix, AZ ยท Remote

$140K - $170K/yr

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Senior Data & AI Engineer

Phoenix, AZ ยท Remote

$100K - $136K/yr

Position Profile The Senior Data & AI Engineer will need to have deep handson experience in ... Analytics & Machine Learning * Build ML pipelines for risk stratification, cost/utilization ...

AI Data Science Expert - Remote

Phoenix, AZ ยท Remote

$100 - $200/hr

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Develops numerical models to simulate the manufacturing processes and create engineering tools ... Experience with developing machine learning and artificial intelligence techniques is highly ...

Showing results 21-40

Remote Tesla Machine Learning Engineer information

What does a remote Tesla machine learning engineer do?

A Remote Tesla Machine Learning Engineer is responsible for designing, developing, and deploying machine learning models to improve Tesla's products and services. Working from a remote location, they collaborate with teams to analyze large datasets, build predictive models, and optimize algorithms for applications such as autonomous driving, energy management, and manufacturing. They also ensure that machine learning solutions are scalable and meet Tesla's high standards for performance and safety.

What are the key skills and qualifications needed to thrive as a remote Tesla machine learning engineer?

To thrive as a Remote Tesla Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning principles, typically demonstrated through a relevant degree or equivalent experience. Proficiency with Python, TensorFlow or PyTorch, cloud platforms, and version control systems is crucial, and certifications in AI/ML can be advantageous. Exceptional problem-solving, communication, and self-motivation are important soft skills for collaborating remotely and tackling complex projects. These skills enable engineers to design, implement, and scale innovative AI solutions that drive Tesla's technology forward.

What are some common challenges faced by remote Tesla machine learning engineers, and how can they be overcome?

Remote Tesla Machine Learning Engineers often face challenges such as collaborating across different time zones, ensuring effective communication with cross-functional teams, and maintaining access to high-performance computing resources. To overcome these, engineers typically use collaborative tools for code sharing and project management, participate in regular virtual meetings, and leverage Tesla's robust cloud infrastructure for experimentation and model training. Proactively seeking feedback and staying aligned with team goals are also key practices for success in this remote, fast-paced environment.

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

AspectRemote Tesla Machine Learning EngineerRemote Data Scientist
Required CredentialsDegree in Computer Science, Engineering, or related field; experience with ML frameworksDegree in Statistics, Mathematics, or related field; strong programming skills
Work EnvironmentCollaborates with engineering teams on autonomous systems and vehicle dataAnalyzes large datasets to extract insights for business or product decisions
Employer & Industry UsagePrimarily in automotive, tech, and autonomous vehicle sectorsAcross tech, finance, healthcare, and various industries

While both roles involve data analysis and machine learning, the Remote Tesla Machine Learning Engineer focuses on developing algorithms for autonomous vehicles, whereas the Remote Data Scientist analyzes data to inform business strategies. The roles share similar credentials but differ in application and industry focus.

What cities in Arizona are hiring for Remote Tesla Machine Learning Engineer jobs?

Cities in Arizona with the most Remote Tesla Machine Learning Engineer job openings:

Lead Engineer, Data Platforms

Dutchbros

Tempe, AZ โ€ข On-site, Remote

$111K - $133K/yr

Full-time

Re-posted 26 days ago


Job description

It's fun to work in a company where people truly believe in what they are doing. At Dutch Bros Coffee, we are more than just a coffee company. We are a fun-loving, mind-blowing company that makes a difference one cup at a time.

Position Overview:
We are seeking a highly experienced and skilled Lead Engineer, Data to join our team. This individual will be responsible for modernizing, integrating, and optimizing Dutch Bro's foundational data ecosystem. This individual will play a crucial role in building world-class data platforms that power analytics, machine learning, and AI-driven workflows and will be responsible for designing and implementing highly scalable and resilient data infrastructure. The ideal candidate will have extensive experience in Snowflake database administration, data modeling, database migration, and is responsible for designing, building, and maintaining data cloud platforms that enable us to collect, store, process, and analyze vast amounts of data efficiently and effectively. This is a great opportunity for someone who thrives in an evolving environment, is eager to learn, and is ready to contribute innovative ideas. If you're humble, hungry, and excited to grow your skills, we'd love to have you join our team!
Job Qualifications:

  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related study, or 4 years of experience, required

  • 7+ years of data and/or software engineering experience, with at least 4 years focused on backend distributed systems or data infrastructure at scale.

  • Deep Engineering Roots: You are an expert coder (Python and SQL) who grew up building software. 4+ years deep Python and SQL experience.

  • Hands-on expert-level knowledge and experience with Snowflake (Snowpipe, SnowSQL, replication, data-sharing), Airflow, and Power BI for production-grade data solutions.

  • Mastery of AWS services (IAM, VPC, Glue, S3, SFTP, Lambda, CloudWatch, SNS) , Gitlab CI/CD, DataDog Monitoring/alerting.

  • Real-time ETL/ELT and Big Data pipeline experience, especially with Kafka, Workato, ADF, Matillion, and DBT.

  • Expertisein implementing automated CI/CD pipelines, infrastructure as code, and fostering a unified engineering culture across disciplines.

  • Nice to have - Passion and drive for a POC / designing RAG architecture, vector databases, or integrating LLMs into data pipelines.

  • Familiarity with data privacy regulations knowledge (GDPR, CCPA) and Attribute-based data security.

  • Snowflake administration knowledge, preferred.

  • Knowledge and experience with Data Governance - Data Quality, Metadata management, Data Security, Data Archive is preferred.

  • Strong problem-solving, analytical, and critical-thinking skills with a focus on business insights.

  • Excellent communication for conveying technical concepts to non-technical stakeholders.

  • Proven ability to work collaboratively in cross-functional teams.

  • Adaptable and proactive in learning new technologies in a dynamic data environment.

  • Strong time management skills to handle multiple projects and ensure high-quality deliverables.


Location Requirement:
This position is eligible for remote work within any state Dutch Bros currently resides in (AL, AZ, CA, CO, FL, ID, KS, KY, MO, NM, NV, OK, OR, TN, TX, UT, WA, WY)
Key Result Areas (KRAs):

Assess, design, build, and maintain the data pipelines that enables Dutch Bros teams to collect, store, process, and analyze vast amounts of data efficiently and effectively:

  • Seamless Snowflake Implementation: Successfully develop and deploy production-grade data solutions on Snowflake, databricks or similar tools Optimized Data Pipelines: Design and enhance ETL/ELT pipelines and datatransformations for efficiency, supporting advanced analytics and real-time dataprocessing with technologies such as Kafka, fivetran, databricks , and Matillion or leveraging pyspark

  • High-Quality Data Models: Implement dimensional and data products to improve data accuracy and accessibility, enabling comprehensive ad-hoc analysis, reporting, and visualization

  • Advanced Analytics Support: Develop and maintain data engineering frameworksthat support machine learning workflows and complex data analyses, ensuring that data is readily available for actionable insights

  • Effective Communication and Collaboration: Articulate complex technical concepts clearly to non-technical stakeholders and collaborate effectively with cross-functional teams to drive project success and meet business objectives


Skills:

  • Data engineering

  • Functional Expertise

  • Data modeling

  • Data management and data governance

  • Leading by Influence

  • Detail-Oriented

  • Multitasking

Physical Requirements:

  • In-Office Environment:Must be able to work in a busy, crowded, and loud office with frequent distractions and interruptions.

  • Office Conditions:Adaptability to typical office conditions, which may include exposure to air conditioning, heating, artificial lighting, and varying noise levels

  • Mobility: Ability to sit, stand, reach, twist, stretch, and work at a desk for long stretches. Must be able to occasionally move or lift office items up to 25 pounds

  • Hearing Requirements:Hearing must be sufficient or correctable to ensure clear understanding of spoken information, including participating in virtual meetings and phone calls. Use of hearing aids or other assistive devices is acceptable if needed.

  • Reading and Writing Proficiency:Ability to read and write in English is essential for processing documents, drafting reports, and following up on necessary actions. Proficiency in written communication is required to handle job-related tasks effectively.

  • Vision Requirements:Vision must be adequate or correctable to perform essential job duties, such as reading documents on a computer screen and using other visual tools. Use of corrective lenses or other measures to meet visual requirements is expected if needed.

  • Technology Proficiency:Must be proficient in operating a computer and other office productivity tools such as printers, scanners, and collaboration software.

  • Effective Communication:Must possess strong verbal and written communication skills to interact effectively with team members, clients, and other stakeholders via email, video conferencing, and other in office communication tools.

Compensation:

DOE

If you like wild growth and working in a unique and fun environment, surrounded by positive community, you'll enjoy your career with us!