This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Natera is seeking a Staff Machine Learning Scientist – Translational AI to provide technical leadership at the intersection of biomedical foundation models, computational biology, and clinical translation. This role is responsible for shaping how genomic, pathology and multimodal foundation models are applied to high-impact translational problems, including: - Target identification - Drug and biomarker discovery - Patient stratification - Therapeutic development As a Staff-level scientist, you will operate with broad technical autonomy, influencing modeling strategy across multiple initiatives while remaining hands-on in model development, experimentation, and interpretation. You will work closely with AI scientists, translational scientists, bioinformatics, clinical partners, and ML engineers to ensure foundation models deliver biologically grounded and clinically meaningful insights. Qualifications - PhD in Computational Biology, Bioinformatics, Computer Science, or a related quantitative field. - 5+ years of experience applying ML to biological, genomic, or clinical data, in the field of oncology, immunology, or translational medicine. - Deep experience with foundation models, representation learning, self-supervised learning, or deep sequence models. - Demonstrated ability to translate ML outputs into biological insight or clinical value, not just metrics. - Strong proficiency in PyTorch and modern ML tooling (e.g., HuggingFace transformers, PEFT, Captum, MLFow). - Track record of scientific and technical leadership through project ownership, mentorship, or cross-team influence. Requirements - Experience integrating genomics with imaging or clinical data in multimodal foundation models. - Experience with drug discovery, clinical trial data, real-world evidence, or regulatory-facing analyses. - Strong publication record in ML, computational biology, or translational research venues. Benefits - Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. - Free testing for Natera employees and their immediate families, in addition to fertility care benefits. - Pregnancy and baby bonding leave. - 401k benefits. - Commuter benefits. - Generous employee referral program. Company Description Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.

• Lead the design, development, and deployment of scalable machine learning and AI systems for enterprise clients. • Work at the intersection of machine learning, distributed systems, and production software engineering. • Help transform cutting-edge ML research into robust, production-grade solutions. • Guide ML architecture decisions and mentor engineers. • Collaborate with cross-functional teams to deliver high-impact AI solutions across multiple industries.

• Convert existing model training code into reproducible, automated pipelines (experiment tracking, model versioning, automated retraining), following ML best practices • Work on algorithms and probabilistic market-derivation logic that powers our live predictions • Define evaluation metrics, build backtesting frameworks, and monitor model performance in production • Serve models via a Python microservices stack • Work with the product team to define new betting markets and the statistical models that support them

Job Seekers can review the Job Applicant Privacy Policy by clicking here. Job Description: Summary The AI/ML Engineer III is a senior-level representing advanced expertise and leadership in artificial intelligence and machine learning. This role is responsible for architecting, developing, and deploying complex AI systems and solutions, driving innovation, and influencing technical strategy at the team and project levels. The AI/ML Engineer III leads cross-functional initiatives, mentors other engineers and data scient, and plays a key role in shaping organizational standards for AI/ML development. Essential Functions - Design, architect, and deploy sophisticated AI/ML solutions that address critical business challenges. - Lead and oversee advanced data engineering, preparation, and feature selection for large-scale model training. - Conduct comprehensive exploratory data analysis, drive feature engineering and selection for optimal model performance. - Establish, monitor, and refine model evaluation frameworks using advanced metrics and validation strategies. - Document technical work, present findings to stakeholders, and review code for quality and optimization. - Mentor and guide engineers and data scientists, fostering technical growth and best practice. - Collaborate actively with software engineers, product managers, and data scientists to deliver strategic AI/ML projects. - Research, evaluate, and implement emerging AI/ML technologies, frameworks and methodologies. - Maintain, troubleshoot, and enhance deployed AI systems, ensuring robustness and scalability. Additional Responsibilities - Perform other duties as assigned. Skills and Abilities - Proficiency with Python or similar programming languages, Required. - Deep understanding of advanced AI/ML concepts including reinforcement learning, deep learning, and large-scale data processing, Required. - Proven ability with data manipulation and analysis libraries (e.g., pandas, NumPy), Required. - Exceptional analytical and problem-solving skills, Required. - Effective technical communication, collaboration, and leadership abilities, Required. - Mastery of machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn); experience in deploying models in production environments, Required. Qualifications - Bachelor's degree in computer science, Data Science, Engineering, Mathematics or related field, Required - Master's Degree in Computer Science, Data Science, Engineering, Mathematics, MBA or equivalent., Preferred - 6 years or more in Extensive experience in AI, machine learning, or related areas, Required - 4 years or more in Significant hands-on experience with AI/ML projects, tools, and frameworks, Preferred - Comprehensive knowledge of statistics, algorithms, and data structures Advanced, Required - Up-to-date awareness of ethical, regulatory, and security considerations in AI/ML Intermediate, Required - Experience with AI agentic platforms like Databricks Intermediate, Required - Familiarity with cloud platforms, MLOps, and scalable deployment practices Intermediate, Required Travel - No Job Category Automation Compensation Information: The compensation offered to a candidate may be influenced by a variety of factors, including the candidate’s relevant experience; education, including relevant degrees or certifications; work location; market data/ranges; internal equity; internal salary ranges; etc. The position may also be eligible to receive an annual bonus, commission, and/or long-term incentive plan based on the level and/or type. Compensation ranges for the position are below: Pay Type: Salaried Minimum Pay Range: $100,000.00 Maximum Pay Range: $110,000.00 Benefits Information: For all Full-time positions only: Ryder offers comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options, as well as paid time off for vacation, illness, bereavement, family and parental leave, and a tax-advantaged 401(k) retirement savings plan. Ryder is proud to be an Equal Opportunity Employer and Drug Free workplace. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability. Important Note: Some positions require additional screening that may include employment and education verification; motor vehicle records check and a road test; and/or badging or background requirements of the customer to which you are assigned. Security Notice for Applicants: Ryder will only communicate with an applicant directly from a [@ryder.com] email address and will never conduct an interview online through a chat type forum, messaging app (such as WhatsApp or Telegram), or via an online questionnaire. During an interview, Ryder will never ask for any form of payment or banking details and will never solicit personal information outside of the formal submitted application through www.ryder.com/careers. Should you have any questions regarding the application process or to verify the legitimacy of an interview or Ryder representative, please contact Ryder at careers@ryder.com or 800-793-3754. Current Employees: If you are a current employee at Ryder, please click here to log in to Workday to apply using the internal application process. Job Seekers can review the Job Applicant Privacy Policy by clicking here.