• 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.

You will collaborate with researchers to perform research operations using existing infrastructure. You will use your judgment in complex scenarios and help apply standard techniques to a wide variety of technical problems. Specifically, you will: - Characterize neural network quality, failure modes, and edge cases based on research data - Maintain awareness of current trends in relevant areas of research and technology - Coordinate with researchers and accurately convey status of experiments - Manage a large number of concurrent experiments and make accurate time estimates with respect to deadlines - Review experimental results and suggest theoretical or process improvements for future iterations - Write technical reports indicating qualitative and quantitative results to external parties You have: - A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it! - Proficiency in Python - Proven ability to thrive in fast-paced environment - Ability to communicate complex technical concepts to colleagues and a variety of audience - Introspection, thoughtfulness, and detail-orientation The following are a plus, but not required: - Master’s or Ph.D. in a related field and/or 5+ years of experience in a directly related field - Experience reading research papers and implementing the techniques therein - Computer vision and deep learning experience The pay range for this position is estimated to fall in the base range of approximately $150,000 and $250,000. Base compensation for this position will vary based on location, qualifications, and relevant experience. The offered base salary may be above or below this range and compensation for the position may include additional compensation in the form of equity or a bonus/commission. We offer: - Competitive health insurance options - 401K plan management - Free lunch and fully-stocked kitchen in our South Bay office - Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale - The opportunity to work on one of the most interesting, impactful problems of the decade Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai are considered the property of Helm.ai and are not subject to payment of agency fees.

ABOUT KLED Kled is building the largest opt-in human data network in the world. We are not a labeling firm. We are not a task marketplace. We are a consumer application where people upload their real photos, videos, and documents and get paid continuously. We then filter, standardize, and license that data to frontier AI labs and enterprises that need fresh, rights-aware training data. Since launching our mobile app in 2026, we have: • Reached #1 on the App Store (Finance) with 0 paid marketing • Scaled to 200,000+ active data contributors • Processed 1.5–3M uploads per day • Raised $5M+ from investors behind SpaceX, Airbnb, Coinbase, xAI, OpenAI, Anthropic, Spotify, Lyft, Uber, and more Our mission is to let anyone download the app and earn a real living wage from uploading their data. ABOUT THE ROLE ML Engineer - Fraud Detection & Data Quality Every day, millions of files hit our system. Your job is to make sure only authentic, high-signal, human data gets through. You’ll build: • AI-generated image & video detection • Reverse image search & internet plagiarism rejection • Duplicate fingerprinting (vector + perceptual hashing) • Copyright risk detection • EXIF / metadata tampering detection • Fraud network & device clustering systems • Human-in-the-loop verification pipelines This is adversarial ML at scale, not academic benchmarks. Example: A user is tasked with uploading a video of themselves taking out the trash. The user uploads a video of their dog. The upload is rejected automatically. But more complex. More requirements. At scale. WE’RE LOOKING FOR • 3+ years in computer vision / ML (PyTorch or TensorFlow) • Production ML deployment experience • Strong SQL / PostgreSQL skills • Experience with vector search (FAISS, pgvector, Pinecone) • Image processing (OpenCV, PIL) • Comfort shipping backend systems (TypeScript/Deno or similar) Bonus: • Deepfake detection • Reverse image search systems • Copyright detection pipelines • Trust & Safety infrastructure CURRENT STACK Backend • PostgreSQL (Supabase) – 100’s of millions of media files • S3 storage • Deno / TypeScript edge functions • Python detection pipelines Frontend • SwiftUI (migrating to Flutter) • Internal verification tooling COMPENSATION • Base salary: $150,000 – $250,000 • $150,000 – $350,000 equity • Benefits • Relocation support • SF HQ (SOMA) or remote We move fast and work hard (9-9 culture). If you're excited to build large-scale adversarial ML systems that sit at the core of next-gen AI data infrastructure, let’s talk. GROWTH OPPORTUNITY You’ll join a team operating at the frontier of applied AI data infrastructure. We move fast and work 7 days a week. In this role, you’ll have the opportunity to: • Own core systems that power one of the largest human data networks in the world • Design infrastructure that directly influences what data trains next-generation AI models • Build at real scale - millions of uploads per day, adversarial environments, global contributors • Ship alongside a team that has built marketplaces, AI systems, and products used by millions If you’re excited to move fast, build systems that matter, and help define how human data powers frontier AI, let’s talk.