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Join to apply for the Voice Data Scientist role at Augment Continue with Google Continue with Google Join to apply for the Voice Data Scientist role at Augment About Us Logistics is broken. Let’s fix it. We are group of engineers, product designers, and customer champions applying the most transformative technology of our times, AI, to one one of the largest industries in the world, logistics. In our prior lives we have built multi-billion dollar companies with products that delighted thousands of merchants and powered billions of dollars of commerce. We are looking for intelligent, driven people with insatiable curiosity and desire to make an impact. If you’re excited to build agents that can reason and take action in one of the most complex industries in the world—apply below. What You'll Do: Design and prototype both text- and voice-modality, RAG-driven agentic systems on large language models Design and develop rigorous frameworks to evaluate models and work with engineering teams to deploy these approaches in production Monitor model performance in changing real-world conditions Fine-tune results with testing and using feedback from customers and stakeholders Go through vast amounts of data and research, implementing a range of ML approaches to categorize it, analyze it, and extract actionable insights Ongoing thinking and contributions to solve the following: How do we incrementally build collective knowledge in our agents? How can we gracefully build judgement in our agents? How do we mitigate model shortcomings in large scale critical production systems Manage individual project priorities, deadlines, and deliverables. Be a full business owner: shape the foundation of the product and business that you work on. Actively learn new languages, techniques, and methodologies What We’re Looking For: Minimum of an undergraduate quantitative degree in applied statistics, analytics, economics, computer science, mathematics or equivalent experience 3+ years of hands-on experience developing AI, econometric, or optimization models with real-world applications Experience with SQL and BI tools, required Extremely comfortable writing code, experience with Python preferred Proven ability to move between technical modeling tasks and product-oriented questions Precise and concise communication Ability to organize, prioritize, and adapt in a rapid-growth startup Insatiable Curiosity, Undying Passion, and Ownership to take on hard real world problems Candidates must be located in the San Francisco area Bonus Points For: Experience building agentic AI applications Development experience with Open AI, Anthropic, Llama and other leading LLMs; development experience with voice models like Carteisa or ElevenLabs Master’s, PhD degree, further education, or experience in engineering, computer science or other technical related field Prior experience in logistics, freight brokerages, shipping and warehouse technologies Machine learning, operations research and optimization, developing large software systems, logistics and fulfillment industry, pricing algorithms, shipping technology Rich GitHub or hackathon accolades or other ways you can show that you love to build Our Stack: Independent Service Oriented Architectures with services composed of: Node, Typescript, MySQL RDS, SQS, SNS. React and Redux for UI. We run on AWS. We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, disability status or any other legally protected status. Augment is committed to providing reasonable accommodations for candidates with disabilities through the hiring process. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Transportation, Logistics, Supply Chain and Storage Referrals increase your chances of interviewing at Augment by 2x Get notified about new Data Scientist jobs in San Francisco, CA . 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Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr Augment

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