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Innovations In Learning Jobs in Kentucky (NOW HIRING)

Jobzhr

$180 - $280/hr

We're hiring our Founding Machine Learning Engineer (MLE) with expertise in Agent Development and ... Stay ahead of the curve on the latest innovations in AI agents, orchestration frameworks, and ...

Iff

The Head of Learning and Talent Management Technologies leads and advances IFF's learning and ... sustainable innovations that elevate everyday products. * Work in a global People & Culture ...

Robert Wood Johnson Foundation

$141 - $155/hr

Since 1972, we have focused on developing and promoting innovations in health and healthcare to ... Facilitate support for, and learning from policy-focused grantee organizations that work with more ...

Infosys Limited

$154 - $193/hr

Experience to latest trends and disruptive innovations in Insurance space like AI, Embedded ... People Development and Learning: Mentors and develops consultants on delivery teams. Ensures team ...

Neura Market

$27.55/hr

These innovations in pathology can help accelerate drug development, improve confidence in the ... Our MLOps team builds and scales the machine learning infrastructure that powers PathAI ...

Triwill Group

$136 - $184/hr

... catalyzing innovations in movement strategy, power-building, intergenerational leadership ... Work in tandem with MIC's Movement Strategy & Innovation and Learning & Impact teams to facilitate ...

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Tekni-Plex, Inc.

$71 - $118/hr

You are part of a global team of problem-solvers whose innovations in materials science can make ... Build a culture of accountability, teamwork, employee engagement, and continuous learning.

AI Chopping Block

$150 - $230/hr

In 2025, we raised a $100M Series C backed by world-class investors including Sequoia, CapitalG ... innovations and tools, and are excited to be at the frontier Nice To Haves Experience building ...

Balazs

$115 - $150/hr

Overall, there are 1000 researchers of more than 35 nationalities developing innovations in the ... By joining our passionate global team, you will enter a collaborative, learning-focused environment ...

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Innovations In Learning information

What is the difference between Innovations In Learning vs Learning Designer?

AspectInnovations In LearningLearning Designer
Required CredentialsBachelor's degree in Education, Instructional Design, or related fieldBachelor's or Master's in Education, Instructional Design, or similar
Work EnvironmentEducational institutions, corporate training, e-learning companiesEducational institutions, corporate training departments, e-learning firms
Employer & Industry UsageUsed across education, corporate, and nonprofit sectors to develop innovative learning solutionsPrimarily in education and corporate sectors focusing on designing learning experiences

Innovations In Learning focuses on developing new methods and technologies to enhance learning experiences, often involving research and experimentation. Learning Designers create structured educational content and curricula based on established instructional principles. While both roles aim to improve education, Innovations In Learning emphasizes innovation and research, whereas Learning Designers focus on designing effective learning programs.

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Infographic showing various Innovations In Learning job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Founding Machine Learning Engineer [32934]

Jobzhr

On-site

$180 - $280/hr

Other

Posted 9 days ago

Job description

We're hiring our Founding Machine Learning Engineer (MLE) with expertise in Agent Development and Time-Series Modeling. You'll play a foundational role in building production-grade systems that combine the power of LLM-powered agents with time-series foundation models.

The Role

This is not a narrow research role - you'll design, train, deploy, and monitor ML systems end-to-end, moving from prototype to production with speed and autonomy. You'll also be a core contributor to defining how agents interact with multimodal numerical data, a problem space where the playbook does not yet exist.

Job Description:
  • Design, train, and deploy production ML systems (LLM-powered agents + time-series models)
  • Build and scale LLM-powered agents with advanced capabilities: multi-step reasoning, tool integration, autonomous workflows, memory/context management, and adaptive strategies
  • Develop and refine evaluation frameworks for agents, ensuring reliability, safety, and measurable performance
  • Apply and extend time-series modeling techniques (forecasting, anomaly detection, multimodal fusion) in real-world customer scenarios
  • Operate end-to-end: from data ingestion and preprocessing to deployment, monitoring, and continuous improvement
  • Stay ahead of the curve on the latest innovations in AI agents, orchestration frameworks, and infrastructure (MCP, A2A, etc.)
  • Partner directly with researchers, engineers, and lighthouse customers to validate solutions and drive rapid iteration
What we're looking for:
  • Proven industry experience (4-10 years) as an ML Engineer, Research Engineer, or Applied Scientist, with a track record of shipping production ML systems
  • Hands-on expertise in LLM-powered agents: multi-step reasoning, tool use, context windows, autonomous workflows, agent memory
  • Deep understanding of agent evaluation techniques (reliability, safety, success metrics)
  • Up-to-date with modern agent infrastructure and frameworks (MCP, A2A, etc.)
  • Fluency with ML engineering best practices: reproducibility, monitoring, scaling, CI/CD, observability
  • Comfort operating in a fast-paced startup: shipping quickly, making tradeoffs, and thriving in ambiguity
Nice to have:
  • Experience training custom neural networks beyond pre-trained LLMs (e.g., transformers for time-series or multimodal data)
  • A background in time-series modeling (forecasting, anomaly detection, classical + deep learning approaches)
  • Published research or open-source contributions in ML/AI
Location & Sponsorship
  • Location: San Francisco Bay Area, CA (in-person)
  • Visa Sponsorship: H1-B, O1
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