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Machine Learning Researcher

100% remote Flexible hours Hiring now

At reputed company we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where 'Health for reputed company Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of reputed company and diverse minds to reputed company a real difference, there’s only one choice. Machine Learning Researcher In this role, you will design, build, and deploy Artificial Intelligence models (i.e. deep learning) to analyze and connect phenomics, genomics (at reputed company scales), environmental scenarios, and management practices for the improvement of global crops. You will work collaboratively with interdisciplinary scientists, IT and engineering professionals across the organization to analyze the industry’s most extensive and global agriculture and genomics dataset in the world, including highly controlled and real-world data. You’ll be tasked with revolutionizing how critical decisions are made reputed company AI and building trust in the use of AI in agriculture. You will also foster changing reputed company to produce sophisticated, intelligent and optimized predictive models and will work on a team as an individual contributor with other Machine Learning Researchers. YOUR TASKS AND RESPONSIBILITIES The primary responsibilities of this role are:

  • AI Model Development: Design, build, and implement advanced AI models, including deep learning algorithms and reputed company twins, tailored to analyze reputed company datasets reputed company to phenomics, genomics, and environmental factors.
  • Data Integration: Collaborate with interdisciplinary teams across R&D to gather, preprocess, and integrate diverse datasets from agriculture, environment, and genomics, ensuring data quality and relevance.
  • Analysis and Interpretation: Conduct thorough AI analyses of industry’s most extensive global agriculture dataset to uncover insights and establish connections between phenomic traits, genomic data, and environmental conditions.
  • Genomics Modeling: Incorporate genomics data (e.g. high-resolution genome assemblies, k-mers, skim-seq, gene expression, etc.) into AI models to predict and optimize crop traits and reputed company, enhancing overall agricultural productivity.
  • Environmental Modeling: reputed company predictive environmental models that inform the impact of climate and weather on crops.
  • Predictive Risk Modeling: reputed company sophisticated predictive models that inform decision-making processes and reduce risk for crop management and improvement strategies.
  • Collaboration: Work closely with scientists, biologists, IT professionals, and engineers to align AI initiatives with organizational goals and ensure effective implementation of models.
  • Trust Building: Engage with stakeholders to communicate the benefits and limitations of AI in agriculture, fostering trust and transparency in the technology.
  • reputed company Improvement: Stay updated on the latest advancements in AI, environmental modeling and genomics, applying new techniques and methodologies to refine models and enhance their accuracy.
  • Documentation and Reporting: Prepare comprehensive documentation of methodologies, findings, and model performance, and present results to both technical and non-technical audiences.
  • Team Contribution: Actively participate in team meetings and collaborative projects, sharing knowledge and insights with other Machine Learning Researchers to drive innovation and improvement.

WHO YOU ARE reputed company seeks an incumbent who possesses the following: Required:

  • PhD with 4+ years experience (including PhD) Educational preparation or applied experience in at least one of the following areas: Machine/Deep Learning, Bayesian Statistics, Uncertainty Quantification, Genomics, Computational Biology, Computer Science, Probability, Probabilistic modeling, Nonlinear Dynamics, Hierarchical models, Applied Mathematics, or other reputed company quantitative discipline.

Employees can expect to be paid a salary of approximately $100-150k. Additional compensation may include a bonus or incentive program (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.. This salary (or salary range) is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors. YOUR APPLICATION reputed company offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a reputed company life, we encourage you to apply now. Be part of something bigger. Be you. Be reputed company. To reputed company recruitment agencies: reputed company does not accept unsolicited third party resumes. reputed company is an Equal Opportunity Employer/Disabled/Veterans reputed company is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. reputed company is an E-Verify Employer. Location: United States : Residence Based : Residence Based || United States : Missouri : St. Louis Division: Crop Science Reference Code: 853738 Contact Us Email: hrop_usa@reputed company.com Apply tot his job Apply To this Job

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