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Remote Machine Learning Jobs in Buckeye, AZ (NOW HIRING)

SDLC Engineer - AI Trainer

Peoria, AZ · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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Showing results 1-20

Remote Machine Learning information

See Buckeye, AZ salary details

$24.9K

$41.6K

$85.9K

How much do remote machine learning jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote machine learning in Buckeye, AZ is $41,577.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,700.00 and $44,900.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
What are the most commonly searched types of Machine Learning jobs in Buckeye, AZ? The most popular types of Machine Learning jobs in Buckeye, AZ are:
What are popular job titles related to Remote Machine Learning jobs in Buckeye, AZ? For Remote Machine Learning jobs in Buckeye, AZ, the most frequently searched job titles are:
What cities near Buckeye, AZ are hiring for Remote Machine Learning jobs? Cities near Buckeye, AZ with the most Remote Machine Learning job openings:
Search Engineer, Technical Support (Government Sector) - EVERGREEN ROLE

Search Engineer, Technical Support (Government Sector) - EVERGREEN ROLE

Lucidworks

Phoenix, AZ • On-site, Remote

$104K - $143K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 12 days ago


Job description

Lucidworks is leading digital transformation for some of the world's biggest retailers, financial services firms, manufacturers, and B2B commerce organizations. We believe that the core to a great digital experience starts with search and browse. Our Deep Learning technology captures user behavior and utilizes machine learning to connect people with the products, content, and information they need. Brands including American Airlines, Lenovo, Red Hat, and Cisco Systems rely on Lucidworks' suite of products to power commerce, customer service, and workplace applications that delight customers and empower employees. Lucidworks believes in the power of diversity and inclusion to help us do our best work. We are an Equal Opportunity employer and welcome talent across a full range of backgrounds, orientation, origin, and identity in an inclusive and non-discriminatory way.
Please note: To ensure a fair and efficient process for all applicants, we kindly ask that you refrain from direct outreach to our hiring managers or team members. All communication should go through the official application portal. We will review your application carefully and reach out to you if your qualifications match our needs. We appreciate your interest in Lucidworks!
PLEASE NOTE: This is an evergreen role, meaning we're not actively hiring at the moment but may in the future. We review applications on an ongoing basis and may reach out if and when an opportunity opens that aligns with your experience.
About the Role
As a Search Engineer in Technical Support, you will play a critical role in helping our clients achieve success with our products. You will be responsible for assisting clients directly in resolving any technical issues they encounter, as well as answering questions about the product and feature functionality. You will work closely with internal teams such as Engineering and Customer Success to resolve a variety of issues, including product defects, performance issues, and feature requests.
This role requires excellent problem-solving skills and attention to detail, strong communication abilities, and a deep understanding of search technology. Additionally, this role requires the ability to work independently and as part of a team, and being comfortable working with both technical and non-technical stakeholders. The successful candidate will demonstrate a passion for delivering an outstanding customer experience, balancing technical expertise with empathy for the customer's needs.
This role will provide primary support to our U.S. government customers.
This is a remote role open to US strictly based candidates in Mountain or Pacific time zones.
This role is expected to participate in weekend on-call rotations.
Responsibilities
  • Field incoming questions, help users configure Lucidworks Fusion and its components, and help them to understand how to use the features of the product
  • Troubleshoot complex search issues in and around Lucene/Solr
  • Document solutions into knowledge base articles for use by our customer base in our knowledge center
  • Identify opportunities to provide customers with additional value through follow-on products and/or services
  • Communicate high-value use cases and customer feedback to our Product Development and Engineering teams
  • Collaborate across teams internally to diagnose and resolve critical issues
  • Participating in a 24/7/365 on-call rotation, which includes weekends and holidays shifts
  • All other duties as assigned

Skills & Qualifications
  • US Citizenship required due to government contracts
  • 2+ years of hands-on experience experience with Search technologies such as Apache Lucene/Solr.
  • 3+ years professional experience in a customer facing level 2-3 tech support role
  • BS or higher in Engineering or Computer Science is preferred
  • Experience with technical support CRM systems (Salesforce, Zendesk etc.)
  • Experience with cloud computing platforms (GCP, Azure, AWS, etc.) and Kubernetes
  • Ability to clearly communicate with customers by email and phone
  • Proficiency with Java and one or more common scripting languages (Python, Perl, Ruby, etc.)
  • Proficiency with Unix/Linux systems (command line navigation, file system permissions, system logs and administration, scripting, networking, etc.)
  • Exposure to other related open source projects (Mahout, Hadoop, Tika, etc.) and commercial search technologies
  • Enterprise Search, eCommerce, and/or Business Intelligence experience
  • Knowledge of data science and machine learning concepts
  • Experience working in a startup or similarly fast-paced, high-growth environment preferred.

Our Stack
  • Apache Lucene/Solr, ZooKeeper, Spark, Pulsar, Kafka, Grafana
  • Java, Python, Linux, Kubernetes
  • Zendesk, Jira

$104,000 - $143,000 a year
This salary range may include multiple levels. Your level is based on our assessment of your interview performance and experience, which you can always ask the hiring manager about to understand in more detail. Salary is just one component of Lucidworks' total compensation package for employees. Your total rewards package includes (but is not limited to) discretionary variable bonus, top-notch medical, dental and vision coverage, a variety of voluntary benefits, generous PTO policy, various leave policies, and many other region-specific benefits.
Lucidworks believes in the power of diversity and inclusion to help us do our best work. We are an Equal Opportunity employer and welcome talent across a full range of backgrounds, orientation, origin, and identity in an inclusive and non-discriminatory way. Applicants receive consideration based on the relevant talents, skills, and experiences they offer to our company.
Thank you for your interest and we look forward to learning more about you.
Note to third party recruiters:
We appreciate your interest in our job opportunities. However, we kindly request that third-party recruiters and staffing agencies refrain from contacting us regarding these positions. We prefer to work directly with candidates and do not accept unsolicited resumes or candidate referrals from third-party recruiters or agencies. Unsolicited resumes and referrals will become the property of Lucidworks, and no fee will be paid should we hire a candidate whose resume was sent unsolicited.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.