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Director Google Machine Learning Engineer Jobs in Denver, CO

Cymertek

Machine Learning Engineer

Aurora, CO · On-site

Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Cymertek Corporation

Machine Learning Engineer

Aurora, CO · On-site

$120 - $180/hr

Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure ... With direct access to company leadership, a laid‑back and inclusive atmosphere, and exceptional ...

Booz Allen Hamilton

Machine Learning Engineer

Aurora, CO · On-site

$77K - $176K/yr

Job Number: R0246351 Machine Learning Engineer The Opportunity: As a programmer, you know that ... Experience with operationalizing software in the cloud such as AWS, Microsoft Azure, or Google

New

Booz Allen Hamilton

Machine Learning Engineer

Aurora, CO

$77K - $176K/yr

Machine Learning Engineer The Opportunity: As a programmer, you know that machine learning is ... Experience with operationalizing software in the cloud such as AWS, Microsoft Azure, or Google

Posted today

Ibotta, Inc

Principal Machine Learning Engineer

Denver, CO · On-site

$228K - $253K/yr

Ibotta is seeking a Principal Machine Learning Engineer to join our Core Data & Analytics team and ... Comfort operating with ambiguity and influencing without direct authority. About Ibotta ("I bought ...

Canals

Machine Learning Engineer

Denver, CO · Remote

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world ...

Blissway Inc

Machine Learning Engineer

Denver, CO · On-site

$145K - $195K/yr

Machine Learning Engineer The Mission: You are the engineer who ships the model, not just the one ... In exchange, you get real autonomy from day one, direct access to the people setting technical ...

Blissway Inc.

Machine Learning Engineer

Denver, CO · On-site

$120 - $180/hr

Machine Learning Engineer The Mission: You are the engineer who ships the model, not just the one ... In exchange, you get real autonomy from day one, direct access to the people setting technical ...

Bespoke Labs

Machine Learning Engineer

Thornton, CO · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Denver, CO · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Aurora, CO · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

AppFolio

Staff Machine Learning Engineer

Denver, CO

Who We Are Looking For We're hiring a Staff Machine Learning Engineer to help move forward the ML ... Direct experience integrating with Google (Vertex / Gemini), OpenAI, and Anthropic APIs in ...

Crowe LLP

Machine Learning Engineer

Denver, CO · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

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Director Google Machine Learning Engineer information

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How much do director google machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for director google machine learning engineer in Denver, CO is $94,624.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,600.00 and $109,100.00 per year, depending on experience, location, and employer.

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Director Google Machine Learning Engineer jobs near you

Machine Learning Engineer

Cymertek

Aurora, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Job description

Machine Learning Engineer
LOCATION
Aurora, CO 80014
CLEARANCE
TS/SCI Full Poly (Please note this position requires full U.S. Citizenship)
KEY SUMMARY
We are seeking a talented and innovative Machine Learning Engineer to join our team and help build intelligent systems that drive impactful business solutions. In this role, you will work with cutting-edge technologies to design, develop, and deploy machine learning models that solve complex problems and improve decision-making processes. You will collaborate with data scientists, engineers, and product teams to turn data into actionable insights and create scalable models that deliver real-world value. If you are passionate about artificial intelligence, data-driven solutions, and continuously learning in an evolving field, we'd love for you to be part of our team.
*** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. ***
SIMILAR CAREER TITLES
Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML Researcher, Data Analyst, ect.
DEGREE (Level Desired)
Bachelor's Degree
DEGREE (Focus)
Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.
ALTERNATE EXPERIENCE
General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.
POSITION RESPONSIBILITIES
  • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
  • Ability to design, implement, and optimize machine learning models and workflows
  • Experience working with large, complex datasets
  • Knowledge of data preprocessing and feature engineering
  • Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
  • Strong problem-solving skills and analytical thinking

REQUIRED SKILLS
  • Proficiency in programming languages (e.g., Python, R, Java)
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Expertise in model evaluation techniques and metrics
  • Strong knowledge of version control tools (e.g., Git)
  • Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau)
  • Understanding of database technologies (e.g., SQL, NoSQL)

DESIRED SKILLS
  • Experience with natural language processing (NLP)
  • Knowledge of deep learning techniques (e.g., CNNs, RNNs)
  • Familiarity with deployment tools (e.g., Docker, Kubernetes)
  • Experience with data augmentation and synthetic data generation
  • Ability to collaborate in cross-functional teams (e.g., engineers, product managers)
  • Knowledge of edge computing and model optimization for deployment

PLUG IN to CYMERTEK - And design your future...
YOUR FOREVER CAREER STARTS HERE
Are you looking for more than just a job? Join a company where employees are treated like family, and your career is built to last. We are a growing small business and a trusted federal contractor offering full scope consulting services in information technology, cybersecurity, and analyst workforce development.
At our company, you come first. We're committed to creating an environment where you'll thrive professionally and personally. We provide meaningful, challenging work using cutting-edge technologies while investing in your growth and success. With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional work-life balance, you'll feel valued every day.
We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal, family-friendly, and designed with your well-being in mind. From employee and family events to career-long support, we create a community you'll never want to leave.
Ready to make your next move the best one? Join us and experience the difference.
BENEFITS
  • Excellent Salaries
  • Flexible Work Schedule
  • Cafeteria Style Benefits
  • 10% - 401k Matching (Vested Immediately)
  • Additional 401k Profit Sharing
  • 30 days Paid Leave/Holiday (No Use or Lose!)
  • The day off for your birthday
  • Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus)
  • HSA/FSA
  • AFLAC
  • Long Term/Short Term Disability - 100% employee coverage. No cost to you.
  • Life Insurance - 100% employee coverage. No cost to you.
  • Additional Discretionary Life Insurance
  • Paid Training
  • No long, wordy reviews with tons of paperwork!!!
  • Referral bonus program with recurring annual payments

HOW TO APPLY
Email us atjobs@cymertek.comor apply today:www.cymertek.com
Want to see what our employees think? Clickhere .
EQUAL OPPORTUNITY EMPLOYER STATEMENT
Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.

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