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Quick apply
Sr. Machine Learning Engineer
Richardson, TX · On-site
$94K - $129K/yr
Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio ...
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$51.76 - $77.74/hr
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They are seeking a Staff Machine Learning Engineer to lead the ML strategy and execution for the Realm-X Leasing Performer, which automates the leasing lifecycle and enhances the leasing process for ...
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Machine learning engineers at Slack touch a great variety of parts of our technical stack. At ... opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a ...
New
Software Engineer, Machine Learning (SWE II & SWE I)
Dallas, TX · On-site
$96K - $132K/yr
Machine learning engineers at Slack touch a great variety of parts of our technical stack. At ... opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a ...
New
We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We're hiring ...
We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We're hiring ...
Machine Learning Engineer Opt information
See The Colony, TX salary details
$29.2K - $42.9K
1% of jobs
$42.9K - $56.5K
1% of jobs
$56.5K - $70.2K
5% of jobs
$70.2K - $83.8K
6% of jobs
$95.1K is the 25th percentile. Wages below this are outliers.
$83.8K - $97.5K
14% of jobs
$97.5K - $111.2K
14% of jobs
The median wage is $118K / yr.
$111.2K - $124.8K
18% of jobs
$124.8K - $138.5K
14% of jobs
$141.3K is the 75th percentile. Wages above this are outliers.
$138.5K - $152.1K
12% of jobs
$152.1K - $165.8K
11% of jobs
$165.8K - $179.4K
5% of jobs
$29.2K
$119.4K
$179.4K
How much do machine learning engineer opt jobs pay per year?
What is a machine learning engineer?
What is the difference between Machine Learning Engineer Opt vs Data Scientist?
| Aspect | Machine Learning Engineer Opt | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's in CS, AI, or related fields; certifications in ML tools | Bachelor's or Master's in CS, Statistics, or related fields; data analysis certifications |
| Work Environment | Develops, tests, and deploys ML models in production systems | Analyzes data, builds models, and provides insights for decision-making |
| Employer & Industry Usage | Tech companies, AI startups, e-commerce, finance | Research institutions, tech firms, consulting, finance |
| Common Search & Comparison | Often compared for technical skills and deployment focus | Compared for data analysis and business insights |
Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.
What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?
What are some common challenges machine learning engineers face when deploying models to production environments?
Full-time
Medical, Life, Retirement, PTO
Posted 26 days ago
Equinix rating
9.1
Based on 9 frontline employees who took The Breakroom Quiz
5th of 250 rated facilities management
Job description
Who are we?
Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.
Job Summary
Independently leads and holds responsibility for multifaceted programs made up of multiple projects and processes; develops and reviews business cases for change and improvement.
Responsibilities
Engineering Expectations (Core Capabilities)
Design and build end-to-end AI systems integrating ML models, LLMs, APIs, and enterprise data
Translate business requirements into scalable system architectures and solution designs
Develop backend services and API-driven architectures to operationalize intelligent systems
Implement data and model pipelines integrating structured and unstructured data sources
Work closely with Data Scientists and ML Engineers to integrate model outputs into production systems and decision workflows
Apply agent-based workflows and multi-step orchestration to enable complex system behavior
Ensure systems are production-ready—scalable, reliable, secure, and performant
Continuously improve system performance through testing, monitoring, and iterative refinement
Operating Model & Ways of Working
Work closely with business, product, Data Science, and engineering teams to co-create solutions and align on outcomes
Translate ambiguous problems into structured requirements and actionable system designs
Engage stakeholders regularly to refine solutions and drive adoption
Collaborate across teams to ensure integration with existing systems and enterprise standards
Maintain high-quality documentation and enable knowledge transfer and continuity
Take ownership of delivery by managing enhancements, releases, and system evolution
Stay current with industry trends and contribute to continuous improvement of team capabilities
Qualifications
5+ years of experience in software engineering, AI/ML engineering, or related roles, with demonstrated experience in building and integrating production-grade systems
Bachelor’s degree in Computer Science, Machine Learning, Data Science, or a related field
The targeted pay range for this position in the following location is / locations are:
United States - Dallas Infomart Office DAI : 136,000 - 204,000 USD / Annual
Canada - Toronto Office TRO : 99,000 - 149,000 CAD / Annual
Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location.The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.
The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.
Equinix Benefits
As an employee, you become important to Equinix’s success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we’re providing you with the best package possible. So, wherever you are in your career and life, you’ll be able to enhance your experience and bring your whole self to work.
Employee Assistance Program: An Employee Assistance program is available to all employees.
US Benefits: - Insurance: You may enroll in health, life, disability and voluntary plans that are designed for you and your eligible family members. - Retirement: You and Equinix may contribute to a retirement plan to help you plan for your financial future. - Paid Time Off (PTO) and Paid Holidays: You will receive an accrued amount of PTO each pay period along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to change and may be subject to specific plan or program terms.Canada Core Benefits: - Insurance: You may enroll in healthcare coverage that is designed to complement the provincial healthcare system, along with life, disability and optional benefit plans that are designed for you and your eligible family members. - Retirement: You may also enroll in Equinix-sponsored retirement or savings plans: Defined Contribution Pension Plan (DCPP), Group Retirement Savings Plan (RRSP) and Tax-Free Savings Plan (TSFA). - Vacation and Paid Holidays: Equinix offers both vacation and personal time, along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to specific plan or program terms, and to change at Equinix discretion.Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.
Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.
We use artificial intelligence in our hiring process. Learn more here.
This posting is a new position within our organization.About Equinix
Sourced by ZipRecruiter
Industry
Software development
Company size
5,001 - 10,000 Employees
Headquarters location
Redwood City, CA, US
Year founded
1998