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Evening Edge Ai Machine Learning Jobs (NOW HIRING)

BeeGenius

AI/Machine Learning Engineer

Sunnyvale, CA · On-site

BeeGenius is building the future of work, and they are seeking an AI/Machine Learning Engineer to join their team. In this role, you will be responsible for developing and implementing machine ...

BeeGenius

AI/Machine Learning Engineer

Sunnyvale, CA · On-site

Bee Genius is building the future of work and is seeking an AI/Machine Learning Engineer to join their team. The role involves developing and implementing machine learning models and algorithms to ...

Lightspeed

AI & Machine Learning Engineer

Northbrook, IL · On-site

$100 - $130/hr

As an AI & Machine Learning Engineer, you will design, build, and deploy the intelligent systems ... Optimize model inference for edge deployment on GPU‑accelerated hardware in production Computer ...

Masimo

Engineer II, AI/Machine Learning

Irvine, CA

$120K - $150K/yr

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and ... It is a cutting-edge research and development opportunity with the potential to improve people ...

Masimo

Engineer II, AI/Machine Learning

Irvine, CA · On-site

$120K - $150K/yr

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and ... It is a cutting-edge research and development opportunity with the potential to improve people ...

AIToolboard

AI / Machine Learning Engineer

Mclean, VA · On-site

$140 - $190/hr

/AI / Machine Learning Engineer# AI / Machine Learning EngineerCyberMedia TechnologiesMcLean, USFull-time## About the RoleCTEC is a leading technology firm that provides modernization, digital ...

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Evening Edge Ai Machine Learning information

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$25.5K

$42.6K

$88K

How much do evening edge ai machine learning jobs pay per year?

As of Aug 17, 2026, the average yearly pay for evening edge ai machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is an Evening Edge AI Machine Learning job?

Evening Edge AI Machine Learning jobs typically refer to positions focused on developing, maintaining, or deploying machine learning solutions, with work hours in the evening or during non-traditional schedules. These roles may involve tasks such as data analysis, model training, algorithm development, and performance evaluation, often within teams that require coverage outside of standard office hours. Professionals in these positions may work remotely or on-site, supporting projects that need continuous operation or global collaboration. Evening shifts can be ideal for those seeking flexible work hours or needing to accommodate other commitments.

What are some common challenges faced by Evening Edge AI Machine Learning professionals and how can they be addressed?

Evening Edge AI Machine Learning professionals often encounter challenges such as managing tight project timelines due to after-hours deployments, troubleshooting unexpected model behavior with limited immediate support, and keeping up with rapid advancements in AI technology. To address these issues, it's helpful to develop strong time management skills, proactively communicate with team members during overlapping hours, and regularly participate in knowledge-sharing sessions. Building a network with other AI professionals and leveraging online resources can also help you stay updated and troubleshoot effectively during evening shifts.

What are the key skills and qualifications needed to thrive as an Evening Edge AI Machine Learning professional, and why are they important?

To thrive as an AI Machine Learning Engineer, you need a strong background in mathematics, programming (Python, R, or Java), and experience with machine learning algorithms, usually supported by a degree in computer science or a related field. Familiarity with technical tools like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS or Azure, as well as relevant certifications, is highly beneficial. Creative problem-solving, analytical thinking, and effective communication help you translate complex data insights into actionable solutions and collaborate across teams. These skills and qualifications are essential for developing robust AI solutions that drive innovation and meet business objectives.

What is the difference between Evening Edge Ai Machine Learning vs Data Scientist?

AspectEvening Edge Ai Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; experience with ML frameworksBachelor's or Master's in CS, Statistics, or related; often a PhD
Work EnvironmentTech companies, startups, or research labs; project-based workCorporate, consulting, or research institutions; data analysis focus
Industry UsageAI product development, automation, predictive modelingBusiness analytics, strategic insights, data-driven decision making

While both roles involve machine learning skills, Evening Edge Ai Machine Learning focuses on developing AI models and algorithms, often in a technical environment. Data Scientists analyze data to extract insights and inform business decisions. The roles overlap in skills but differ in primary focus and application.

More about Evening Edge Ai Machine Learning jobs

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What are the most commonly searched types of Edge Ai Machine Learning jobs?

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Evening Edge Ai Machine Learning jobs near you
Infographic showing various Evening Edge Ai Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Remote AI / Machine Learning Specialist

TA Staffing

Nashville, TN • Remote

$115K - $140K/yr

Full-time

Posted 20 days ago

Job description

We're seeking an innovative AI / Machine Learning Specialist to help design, build, and deploy intelligent solutions that improve business performance and automate complex processes. In this fully remote role, you'll work with engineering, product, and business teams to develop machine learning models, optimize AI systems, and transform data into actionable insights.

What You'll Do

  • Design, develop, train, and deploy machine learning and AI models.
  • Build predictive models, recommendation engines, and intelligent automation solutions.
  • Analyze structured and unstructured data to identify patterns and business opportunities.
  • Develop and optimize large language model (LLM) applications and AI-powered workflows.
  • Collaborate with software engineers to integrate AI solutions into production environments.
  • Monitor model performance and continuously improve accuracy and efficiency.
  • Stay current with emerging AI technologies, frameworks, and industry best practices.

Qualifications

  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field (Master's degree preferred).
  • Experience with Python and machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.
  • Knowledge of large language models (LLMs), generative AI, prompt engineering, and retrieval-augmented generation (RAG).
  • Experience with SQL, data pipelines, and cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with APIs, Git, Docker, and MLOps practices.
  • Strong analytical thinking, problem-solving, and communication skills.
  • Ability to manage multiple AI initiatives in a fast-paced remote environment.

Preferred Experience

  • Experience deploying AI models into production environments.
  • Knowledge of vector databases, embeddings, and semantic search.
  • Experience building AI agents or workflow automation tools.
  • Familiarity with Kubernetes, CI/CD pipelines, and cloud-native architectures.
  • Experience working with enterprise AI platforms such as OpenAI, Anthropic, Google Vertex AI, or Amazon Bedrock.

Why Join Our Team?

  • 100% remote work from anywhere in the United States.
  • Competitive salary, annual bonus, and comprehensive benefits.
  • Work on cutting-edge AI and machine learning initiatives with real business impact.
  • Flexible work schedule and excellent work-life balance.
  • Ongoing professional development and access to the latest AI technologies.
  • Opportunities for rapid career growth as AI adoption continues to accelerate across industries.


Ready to apply?

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