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Machine Learning Engineer Associate Jobs in Plano, TX

Partner with executive leadership, engineering, product, and data science teams to ensure AI ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

AI Solutions Architect

Dallas, TX

$62.25 - $82/hr

... Machine Learning Engineer, Microsoft Azure AI Engineer Associate, Microsoft Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert The wage range for this role takes into ...

Senior ML Engineer

Addison, TX

$101K - $138K/yr

Develop machine learning models and algorithms to address business needs. Collaborate with data scientists and software engineers to design and implement scalable and efficient solutions. Clean ...

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

Responsibilities: • Develop machine learning models and algorithms to address business needs. • Collaborate with data scientists and software engineers to design and implement scalable and ...

... Azure Machine Learning and Azure Databricks. * Strong programming skills in Python or PySpark ... Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or ...

Machine Learning Operations Engineer

Dallas, TX · On-site

$113K - $136K/yr

Machine Learning Operations Engineer Category: Software Development/ Engineering Main location: United States, Texas, Dallas Alternate Location(s): United States, Strongsville United States ...

Machine Learning Operations Engineer

Dallas, TX · On-site

$68K - $93K/yr

This role focuses on optimizing feature engineering pipelines and maintaining machine learning models in production environments while collaborating with platform and data science teams to ensure ...

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Machine Learning Engineer Associate information

See Plano, TX salary details

$39.7K

$79.1K

$126.3K

How much do machine learning engineer associate jobs pay per year?

As of Jun 7, 2026, the average yearly pay for machine learning engineer associate in Plano, TX is $79,090.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $90,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineer Associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are Machine Learning Engineer Associates?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

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

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
What are the most commonly searched types of Machine Learning Engineer jobs in Plano, TX? The most popular types of Machine Learning Engineer jobs in Plano, TX are:
What are popular job titles related to Machine Learning Engineer Associate jobs in Plano, TX? For Machine Learning Engineer Associate jobs in Plano, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Associate jobs in Plano, TX look for? The top searched job categories for Machine Learning Engineer Associate jobs in Plano, TX are:
What cities near Plano, TX are hiring for Machine Learning Engineer Associate jobs? Cities near Plano, TX with the most Machine Learning Engineer Associate job openings:
Infographic showing various Machine Learning Engineer Associate job openings in Plano, TX as of May 2026, with employment types broken down into 10% Internship, 84% Full Time, and 6% Part Time. Highlights an 80% In-person, 3% Hybrid, and 17% Remote job distribution, with an average salary of $79,090 per year, or $38 per hour.
Principal Machine Learning Engineer

Principal Machine Learning Engineer

Cisco

Dallas, TX • On-site

$291K - $369K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Cisco Systems rating

8.6

Company rating: 8.6 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

15th of 139 rated electronics manufacturers


Job description

The application window is expected to close on:

Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

Meet the Team

Splunk, a Cisco company, is building a safer, more resilient digital world with an endtoend, fullstack platform designed for hybrid, multicloud environments. Join theAI Modelsteam at Splunk, where we advance the state of AI for highvolume, realtime, multimodal machinegenerated data - including logs, time series, traces, and events. We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco's global engineering capabilities. Our work spans networking, security, observability, and customer experience - designing and deploying foundation models that enhance reliability, strengthen security, preventdowntime, and deliver predictive insights across Splunk Observability, Security, and Platform at enterprise scale. You'll be part of a culture that values technical excellence, impactdriven innovation, and crossfunctional collaboration - all within a flexible, growthoriented environment.

Your Impact

  • Set and Drive Vision:Define and champion the strategic vision for AI and foundation models across Splunk and Cisco platforms, shaping the research and technology roadmap to anticipate and address industrydefining challenges.

  • Architect and Lead Breakthroughs: Lead the endtoend lifecycle of research, design, and deployment for largescale foundation models targeting machinegenerated data, with deep focus on logs and complementary modalities (time series, traces, events).

  • Influence at Scale: Partner with executive leadership, engineering, product, and data science teams to ensure AI solutions align with broader organizational objectives, product strategies, and customer needs.

  • Mentorship and Thought Leadership: Cultivate organizational excellence by mentoring senior technical talent, fostering research communities, and driving best practices in AI across global teams.

  • Foster Innovation: Embed cuttingedge research and technological advances into products, driving sustained competitive advantage and transformation at enterprise scale.

Minimum Qualifications:

  • PhD in Computer Science, or related quantitative field, plus7+ years of industry research experience.

  • Proven track record in at least one of the following areas: large language modeling for both structure and unstructured data, deep learningbased time series modeling, advanced anomaly detection, and multi-modality modeling.

  • Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)

  • Experience translating research ideas into production systems.

Preferred Qualifications:

  • Deep NLP & DomainAdapted LLMs: Background in building and adapting largescale language models (e.g., T5, BERT, LLaMA, GPTs) for specialized domains including structured/unstructured logs, text, and event sequences.

  • Log Analytics Expertise - Indepth knowledge of structured/unstructured system logs, event sequence analysis, anomaly detection, and root cause identification.

  • Advanced Anomaly Detection - Experience creating robust, scalable approaches (statistical, deep learning, or hybrid) for highvolume, realtime logs data.

  • MultiModal AI Modeling - Strong track record fusing logs, time series, traces, tabular data, and graphs for foundation models tackling complex operational insights.

  • LargeScale Training & Optimization - Experience optimizing model architectures, distributed training pipelines, and inference efficiency to minimize cost and latency while preserving accuracy.

  • MLOps & Continuous Learning - Fluency in automated retraining, drift detection, incremental updates, and production monitoring of ML models.

  • Strong Research Track Record - Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, KDD) demonstrating contributions to stateoftheart methods and realworld applications.

Why Cisco?

At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.

Message to applicants applying to work in the U.S. and/or Canada:The starting salary range posted for this position is $291,500.00 to $369,100.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.

Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.

U.S. employees are eligible for paid time away as described below, subject to Cisco's policies:

  • 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees

  • 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco

  • Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees

  • Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)

  • 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours ofunused sick timecarried forwardfrom one calendar yearto the next

  • Additional paid time away may be requested to deal with critical or emergency issues for family members

  • Optional 10 paid days per full calendar year to volunteer

For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:

  • .75% of incentive target for each 1% of revenue attainment up to 50% of quota;

  • 1.5% of incentive target for each 1% of attainment between 50% and 75%;

  • 1% of incentive target for each 1% of attainment between 75% and 100%; and

  • Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

The applicable full salary ranges for this position, by specific state, are listed below:

New York City Metro Area:

$291,500.00 - $424,400.00

Non-Metro New York state & Washington state:

$259,400.00 - $377,600.00

* For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.

** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.


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About Cisco Systems

Sourced by ZipRecruiter

Cisco Systems, a global tech titan based in San Jose, CA, US, operates in the information technology and services industry. Founded in 1984, the company was derived from a project between two computer scientists from Stanford University. They aimed to connect different networks of computer systems at the university, resulting in the first multi-protocol router, and subsequently, the birth of Cisco. As an industry-leading manufacturer of networking hardware and telecommunications equipment, Cisco's product and services range includes routers, switches, firewall devices, and telecommunication technology. The company's mission, "to shape the future of the Internet by creating unprecedented value and opportunity for our customers, employees, investors, and ecosystem partners," is a testament to its pursuit of technology-forward innovation and customer satisfaction.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1984

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