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

Data Analyst (REMOTE)

Phoenix, AZ · Remote

$115K - $126K/yr

... machine learning or statistical analysis, data engineering and data visualization related work. Communication Skills Excellent written and verbal communication skills. Strong organizational and ...

... remote work. As a Data Analyst, team members will be responsible for evaluating and improving U ... Exposure to and familiarity with common statistical and machine learning techniques. * Substantial ...

Were looking for a pragmatic, startup-minded Senior Machine Learning Engineer or Applied Data Scientist who can take an idea from concept to production. Sometimes that idea will come from the data.

GCP Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from ...

New

GCP Data Engineer

Phoenix, AZ · Remote

$117K - $140K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from ...

New

Time Type: Full time Remote Type: Job Family Group: Human Resources Summary: The Manager, Talent ... Demonstrated experience applying AI, machine learning, and predictive analytics concepts to talent ...

New

Quantitative Analyst III

Scottsdale, AZ · On-site +1

$85K - $99K/yr

Scottsdale: 18700 N Hayden Rd, Suite 255, Scottsdale, AZ 85255 Osaic is not considering remote ... Exposure to AI and machine learning tools and their application to business problems or operational ...

Quantitative Analyst III

Scottsdale, AZ · On-site +1

$85K - $99K/yr

Scottsdale: 18700 N Hayden Rd, Suite 255, Scottsdale, AZ 85255 Osaic is not considering remote ... machine learning tools and their application to business problems or operational improvement ...

Senior Software Engineer

Tempe, AZ · Remote

$91K - $163K/yr

If you live near Tempe, AZ, you will enjoy the flexibility of a hybrid-remote role as you take on ... Design, develop, and productionize machine learning and generative AI solutions supporting use ...

... machine learning. - Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system. - Architect and scale the pipeline to handle large-scale data ...

... machine learning. - Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system. - Architect and scale the pipeline to handle large-scale data ...

... remote-first education and technology company on a mission to transform learning for students ... and virtual machines. * Provide Tier 1-2 technical support by resolving hardware, software ...

New

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

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Showing results 1-20

Remote Machine Learning information

See Tempe, AZ salary details

$24.4K

$40.8K

$84.3K

How much do remote machine learning jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote machine learning in Tempe, AZ is $40,785.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,100.00 and $44,100.00 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 Tempe, AZ? The most popular types of Machine Learning jobs in Tempe, AZ are:
What are popular job titles related to Remote Machine Learning jobs in Tempe, AZ? For Remote Machine Learning jobs in Tempe, AZ, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Tempe, AZ look for? The top searched job categories for Remote Machine Learning jobs in Tempe, AZ are:
What cities near Tempe, AZ are hiring for Remote Machine Learning jobs? Cities near Tempe, AZ with the most Remote Machine Learning job openings:
Infographic showing various Remote Machine Learning job openings in Tempe, AZ as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $40,785 per year, or $19.6 per hour.
Vice President of Product Development

Vice President of Product Development

Epiq

Phoenix, AZ • Remote

Full-time

Re-posted 19 days ago


Epiq Systems rating

7.2

Company rating: 7.2 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

124th of 210 rated it services


Job description

At Epiq, your work contributes to complex, global legal outcomes. You'll join a valuesdriven community where integrity guides decisions, relentless service sets the bar, and we thrive on big challenges together. We invest in your growth with enterprisewide learning and mobility. We celebrate who you are, and we respect life beyond work with flexibility that's recognized externally. Enabled by modern platforms and AI, you'll do the most meaningful work of your career and see your impact at scale.

Job Description:

The Vice President of Engineering will lead a large global engineering organization responsible for core eDiscovery platform capabilities, including data ingestion, processing, search, analytics, review workflows, productions, reporting, integrations, and AI-enabled features.

The position will be expected to improve platform reliability, delivery predictability, engineering quality, and technical scalability while continuing to support active client needs. This is not a purely strategic role; it requires strong execution, sound judgment, and the ability to drive change in a complex environment.

Key Responsibilities

  • Lead and develop distributed engineering teams across application development, data engineering, QE, DevOps, architecture, and platform services.
  • Own engineering execution for core eDiscovery workflows, including processing, indexing, search, review, production, analytics, and reporting.
  • Drive platform modernization, including APIs, data models, cloud infrastructure, automation, CI/CD, observability, and performance engineering.
  • Partner with Product to translate roadmap priorities into realistic delivery plans.
  • Work closely with Operations and Client Success to reduce client-impacting issues and improve platform usability.
  • Establish clear engineering metrics around delivery, quality, uptime, performance, incidents, and defect trends.
  • Manage technical debt with discipline, balancing client commitments with long-term platform health.
  • Support the introduction of AI and advanced analytics into legal workflows with appropriate controls around auditability, security, and human oversight.
  • Build an engineering culture focused on ownership, accountability, technical excellence, and practical problem solving.

What We're Looking For

  • 12+ years of software engineering experience, including senior leadership responsibility for enterprise or SaaS platforms.
  • Proven experience leading distributed engineering teams.
  • Strong background in data-intensive platforms, workflow systems, search, document management, or enterprise software.
  • Experience modernizing complex platforms without disrupting existing clients.
  • Strong understanding of cloud architecture, APIs, data pipelines, DevOps, automated testing, and production operations.
  • Ability to work across Product, Operations, Security, Finance, Sales, and Client Success.
  • Comfortable making tradeoffs and communicating clearly with executive stakeholders.

Experience That Would Stand Out

  • Experience in eDiscovery, legal technology, litigation support, investigations, compliance, or document review.
  • Familiarity with Relativity, Reveal, Nuix, Everlaw, DISCO, Exterro, OpenText, or similar platforms.
  • Experience with large-scale document processing, OCR, email threading, deduplication, metadata extraction, productions, or review workflows.
  • Experience deploying AI, machine learning, or LLM-based capabilities into enterprise workflows.
  • Experience operating in regulated environments with SOC 2, ISO, HIPAA, GDPR, or similar controls.

Leadership Profile

We need a leader who is technically credible, commercially aware, and operationally disciplined. The ideal candidate can go deep with architects and engineers, but also communicate clearly with clients and executives. They should bring structure without bureaucracy, urgency without chaos, and innovation without losing sight of reliability and defensibility.

Success in This Role Looks Like

  • More predictable roadmap delivery.
  • Measurable improved platform stability and performance.
  • Fewer client-impacting defects and escalations.
  • Stronger engineering accountability and ownership.
  • Better partnership between Engineering, Product, Operations, and Client Success.
  • Clear progress on modernization and technical debt.
  • Practical AI capabilities delivered into real legal workflows.

Why This Role Matters

eDiscovery is changing quickly. Clients expect faster answers, lower cost, better transparency, and responsible use of AI. This role will help shape the engineering foundation needed to compete in that environment - combining scalable data platforms, modern software practices, and defensible legal workflows into products clients can trust.

#LI-KS1 #LI-Remote

The Compensation range for this role is 230,000 to 270,000 USD annually and may be eligible for an annual bonus.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

Must be authorized to work in the United States for any employer.

Your specific salary will be determined based on several factors:

  • Location-based market ratefor the role

  • Your abilitiesin relation to the job specification

  • Performanceduring screening and interview

  • Pay paritywith the wider team in the considered location

Further details about the package will be provided during the initial screening call with the Talent Acquisition Team.

Click here to learn about Epiq's Benefits.

Epiq Leadership Compass

Acts Strategically

Aligns priorities, work, and resources with strategy to ensure effective execution and organizational success.

  • See the big picture and plan for the future

  • Set clear strategic priorities

  • Balance short- and long-term investments

  • Communicate a compelling strategic vision

  • Integrate risk and change management

  • Align cross-functional efforts

  • Shape strategy using industry and financial insights

Enterprise Decision Making

Applies deep business and financial insight to guide strategic decisions, resource allocation, and thought leadership.

  • Use financial and market expertise for long-term direction

  • Build strategic partnerships

  • Promote a customer-first mindset

  • Allocate global resources for innovation and growth

Cultivates a Growth Mindset

Fosters innovation through curiosity, smart risk-taking, and adaptability-aligning change with strategy for lasting impact.

  • Promote curiosity and forward-thinking

  • Build a culture of innovation through partnerships

  • Drive innovation to meet client needs

  • Lead innovation with a clear vision

  • Align innovation with market trends

Builds Talented Teams

Builds and develops inclusive, high-performing teams aligned to strategic goals for exceptional talent and business results.

  • Focus on employee engagement

  • Build a strong talent pipeline

Fosters Relationships & Collaboration

Builds trust and alignment through open communication, shared goals, and strong partnerships to drive collective success.

  • Build trust-based partnerships

  • Nurture long-term relationships

  • Remove collaboration barriers

  • Celebrate cross-team success

It is Epiq's policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual's race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. Epiq's policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. In addition Epiq will take affirmative action for minorities, women, covered veterans and individuals with disabilities. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. Epiq is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, Epiq will consider for employment qualified applicants with arrest and conviction records.


What Epiq Systems employees say

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