Early-Career Applied ML Engineer

Company: Kognitos
Location: San Jose
Posted on: June 1, 2025

Job Description:

Explore exciting opportunities to join the Kognitos team and be a part of our dynamic workplace.What We DoWe're Kognitos, and we have built an OS for cognition that elevates machines to understand and obey human language. We have built the world's most advanced combination of Generative AI and Logical execution that will empower most humans to innovate using computers without needing to learn how to program.Our mission is to bring humans out of the dark ages of extremely low computer literacy and herald a future of exponential innovation fueled by a democratic access to automation for all.The customer must succeed. Everything else is secondary.About KognitosKognitos is at the forefront of revolutionizing the trillion-dollar hyper-automation market. Our mission is to redefine how software is built and maintained by leveraging cutting-edge multi-agent automation platforms. We are pioneering advancements in agentic workflows, enabling machines to reason, plan, and execute tasks in a deterministic fashion.Are you excited about working on cutting-edge AI solutions, building next-generation enterprise automation, and growing your skills in a fast-paced environment? Join Kognitos as an Early-Career Applied ML Engineer to help shape the future of software, tackling challenging problems in AI and enterprise automation.What You'll Work OnEfficient Fine-TuningDevelop methods that reduce resource usage while training and fine-tuning AI models-ensuring high performance without compromising efficiency.Agentic WorkflowsAdvance AI workflows where systems can reason, plan, and execute tasks reliably, minimizing errors and runtime surprises.Multimodal Language ModelsContribute to projects combining text, images, and other data types, enabling adaptive enterprise automation solutions.Scalable AI for EnterprisesHelp address large-scale enterprise needs, creating AI solutions that can significantly reduce operational expenses.ResponsibilitiesModel Development & DeploymentDesign, implement, and deploy machine learning models with an emphasis on deterministic task execution and agentic workflows.Multimodal ApplicationsWork on integrating diverse data formats (e.g., text, images) into AI models tailored to real-world enterprise use cases.Resource OptimizationExplore and refine fine-tuning techniques to optimize resource usage and improve overall model performance.Compliance & Value DeliveryEnsure AI systems adhere to regulatory policies, maintain reliability, and deliver measurable business value.Cross-Functional CollaborationPartner with product, engineering, and business teams to align AI solutions with strategic objectives.Continuous LearningStay current with AI advancements and apply the latest research insights to enhance Kognitos' platform.RequirementsEducational BackgroundMaster's or Ph.D. in Computer Science, Machine Learning, or a related field.Production ML ExperienceDemonstrated experience developing and deploying machine learning models (via research, internships, or prior roles).Expertise in Fine-Tuning & Large-Scale ModelsFamiliarity with strategies to optimize large language models (LLMs) and manage resource usage efficiently.Programming SkillsProficiency in Python and experience with one or more ML frameworks (e.g., TensorFlow, PyTorch).Problem-Solving MindsetAbility to address complex challenges in a fast-paced, dynamic environment.Preferred QualificationsAgentic Workflows & Multi-Agent SystemsExposure to or interest in advanced AI topics (e.g., multi-agent systems, reinforcement learning).Enterprise Automation ExperienceUnderstanding of automation pain points in large-scale enterprise contexts.Cloud & Distributed ComputingFamiliarity with cloud platforms (AWS, GCP, Azure) and distributed ML frameworks like Spark, Ray, or Kubernetes.Why Join Kognitos?Tackle the Hardest AI ProblemsEngage in meaningful work, solving critical challenges within a trillion-dollar hyper-automation market.Significant ImpactBuild AI systems that can save enterprises up to 30% in operational costs.Growth & MentorshipCollaborate with a world-class team, gaining direct mentorship from seasoned engineers and researchers.Cutting-Edge EnvironmentWork with the latest AI innovations and see your contributions influence major enterprise transformations.Ready to build the future of enterprise automation?Apply now and bring your passion for AI to Kognitos. This is your opportunity to join a top-tier team, push the boundaries of AI research, and make a direct impact on how businesses operate worldwide.Equal Opportunities ProviderKognitos is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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Keywords: Kognitos, Madera , Early-Career Applied ML Engineer, Engineering , San Jose, California