AdaKerja Logo

AdaKerja

Research Engineer

Reposted 9 Days Ago
Remote
Hiring Remotely in Greece
Entry level
Remote
Hiring Remotely in Greece
Entry level
Conduct advanced research in artificial intelligence and machine learning, including deep learning, graphical models, reinforcement learning, computer perception, natural language processing, and data representation. Define complex business problems, design and deliver modeling solutions, evaluate model performance, establish scientific and engineering specifications, and build analytical roadmaps. Assess production implementation requirements, improve data capture methods, apply statistical and mathematical techniques, and resolve root causes and process bottlenecks.
The summary above was generated by AI
## About the role Adakerja is seeking a Research Scientist to join our team. In this role, you will be familiar with artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing, and data representation. You will have a keen interest in producing new science to understand intelligence and technology. ## What you'll do - Take ownership to define business problems, analyze and design solutions for complex problem areas and/or opportunities in existing or new business initiatives; review model performance during implementation and identify opportunities for improvement - Own the delivery of modeling solutions; define and prioritize science or engineering specifications for new approaches - Evaluate cross-team perspectives, use quantitative methods to derive justification, and build consensus on a roadmap on the required level of analyses to meet goals - Understand how easily a recommended solution can be implemented in a production system and/or operational process - Understand the various methods for capturing data from systems (e.g., logging, log harvesting, etc.) - Apply advanced scientific methods and principles, mathematical theory, and/or statistical analysis to improve upon existing approaches. You work to resolve the root cause of problems, including any bottlenecks in the team’s processes ## What we're seeking ### Must have {{Please add qualifications or remove this section}} ### Nice to have - A strong interest in receiving and implementing feedback and focus on improvement - A servant leader who leads by doing - You're autonomous and always willing to lead projects and create new ones - A goal-driven mindset; someone who can think outside the box in order to meet objectives - You take responsibility, love ownership, learn continuously, and have a growth mindset.

Similar Jobs

5 Days Ago
Remote
Senior level
Senior level
Artificial Intelligence • Information Technology • Consulting
Design, train, and evaluate large multimodal and vision-language-action models for robotic agents. Develop reinforcement and imitation learning methods, embodied datasets, simulation environments, world models, planning systems, and sim-to-real experiments. Build robust research software and distributed training infrastructure, validate approaches on physical robots, and collaborate with research and engineering teams to deploy reliable systems. Communicate findings through technical reports, open-source releases, demonstrations, and publications.
Top Skills: Ci/CdComputer VisionControl SystemsDistributed CheckpointingDistributed TrainingFlashattentionFsdpImitation LearningIsaac LabIsaac SimJaxMixed-Precision TrainingMujocoMultimodal Foundation ModelsPlanningPybulletPythonQuantizationReinforcement LearningRoboticsRosTransformer ModelsVersion ControlZero
6 Days Ago
Remote
Senior level
Senior level
Artificial Intelligence • Information Technology • Consulting
Designs, builds, and evaluates research prototypes and production-ready systems for portable AI agents, model routing, provider interoperability, memory, retrieval, tool use, and multi-agent workflows. Responsibilities include developing evaluation frameworks, conducting statistically rigorous experiments, creating schemas and APIs, optimizing model and agent systems, and translating research into secure, reliable, reusable components. The role collaborates across research, infrastructure, security, product, and engineering teams and communicates findings through technical reports, benchmarks, demonstrations, open-source releases, and publications.
Top Skills: Anthropic-Style ApisAPIsCi/CdData SchemasDistributed ServicesGoKnowledge GraphsLarge Language ModelsMachine LearningMcpObservabilityOpenai-Compatible ApisPythonRustTestingTypescriptVector Search
29 Days Ago
Remote
Senior level
Senior level
Artificial Intelligence
Develop and scale production-grade video foundation models for human-centric video generation. Lead applied research and engineering projects involving diffusion modeling, conditioning, distributed multi-node training, evaluation, ablation studies, inference optimization, reproducibility, monitoring, and production deployment. Collaborate across teams to deliver stable, controllable, high-quality, cost-efficient video generation systems.
Top Skills: AWSCi/CdCudaDdpDeepspeedDiffusion ModelsDockerFsdpGitLatent Video Diffusion ModelsPythonPyTorchSequence ParallelismSlurm

What you need to know about the Charlotte Tech Scene

Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.

Key Facts About Charlotte Tech

  • Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
  • Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
  • Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
  • Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account