• Research, design, develop and test robotic and machine learning applications for an AV company. • Contribute to the complete machine learning cycle: data collection, labeling, processing, algorithm design, model training, and evaluation. • Formulate problem statements specific to autonomous operations and design innovative solutions to address them. • Design novel machine learning models and algorithms, including new deep learning architectures, loss functions, and training protocols. • Utilize advanced machine learning techniques such as convolutional neural networks and Generative AI to enhance object detection and perception. • Work on improving perception properties of detected objects, such as their kinematics, intent, and short-term trajectory predictions. • Develop and implement novel solutions to integrate multiple sensors (e.g., Camera, RADAR, LiDAR) and other contextual information like High Definition Maps and temporal streams of data. • Collaborate with the team to ensure the safe and efficient operation of autonomous vehicles. • Provide support on debugging real-time issues on the ride-hail fleet that are due to perception related problems.

Role Description This position is responsible for overseeing the day-to-day operations of the Verifications team, including all department KPI’s. Work closely with Regulatory Affairs and the Verifications management team to ensure that systems and processes are compliant with all applicable State and Federal requirements for the distribution of prescription drugs and devices. Ensure new customer accounts are set up correctly and potentially fraudulent orders are reviewed and identified. Partner with Sales, DC Ops, and IT to ensure that customer orders are streamlined while ensuring compliance. Provide formal performance feedback, including performance appraisals, and resolve conflict. Qualifications - Typically 4 to 5 years of related support experience; 3 or more years of management experience. - Bachelor's Degree or global equivalent in related discipline (preferred). Requirements - Substantial knowledge of JDE, Siebel and MS Office applications. - Substantial knowledge of Verifications policies and procedures. - Full understanding of State and Federal regulatory requirements and an awareness of international regulations. - Consistently demonstrated leadership and coaching skills. - Ability to build morale and motivate a team. - Excellent dispute resolution skills. - Strong leadership skills and ability to motivate teams. - Excellent communication skills, performance feedback and ability to resolve disputes effectively. - Excellent verbal and written communication skills. - Ability to multi-task. - Ability to learn applicable computer systems. - Excellent analysis and problem solving skills. - Excellent decision making skills. - Understand and ability to interpret financial information that impacts department. - Ability to plan and coordinate successful projects, manage risks, costs, time and project teams. - Strong planning and organizational skills and techniques. Benefits - Medical, Dental and Vision Coverage - 401K Plan with Company Match - PTO (or sick leave if applicable) - Paid Parental Leave - Income Protection - Work Life Assistance Program - Flexible Spending Accounts - Educational Benefits - Worldwide Scholarship Program - Volunteer Opportunities

Role Description Develop and implement analytics techniques to transform data into meaningful information using data-oriented programming languages, visualization software, data modeling, and machine learning to extract and analyze information. - Research, evaluate, and test the latest Artificial Intelligence (AI)/ Machine Learning (ML) tools, protocols, and platforms to identify opportunities for internal adoption and technological advancement. - Provide AI solution architecture support for business initiative and design end-to-end AI solutions that leverage emerging technologies to fulfill complex organizational requirements. - Develop rapid functional AI/ML prototypes and proof-of-concept (PoC) applications to showcase advanced capabilities to internal and external stakeholders to drive business innovation. - Design and implement one-off custom AI and ML use cases, utilizing cloud services and APIs to build scalable solutions that integrate seamlessly into existing enterprise applications. - Provide technical consulting support and feedback for ongoing AI use cases, enhancements, and troubleshooting issues to ensure solution stability. - Translate complex technical AI concepts into accessible language to ensure internal employees at all levels understand the functionality and value of available AI tools. - Analyze, manipulate, and process large sets of data and visualize, interpret, and report data findings to support organizational goals. Telecommuting permitted from anywhere within the United States. Qualifications - Masters degree + 1 years experience or - Bachelors degree + 3 years experience. Requirements - None Benefits - Incentive Bonus Plans - Medical, Dental, Vision benefits - 401K with Company Match - 10 Paid Holidays - Generous Paid Time Off Packages - Employee Stock Purchase Plan - Paid Parental & Family Leave - and more!

Role Description BetterHelp is looking for a Machine Learning Engineer to help build and scale the next generation of AI-powered experiences across our platform. This role will focus on Natural Language Processing (NLP), Large Language Models (LLMs), evaluation systems, and AI safety infrastructure. What will you do? - Develop and improve NLP systems and language model-powered experiences. - Fine-tune and optimize open-source and proprietary language models for domain-specific use cases. - Evaluate model performance and identify opportunities for quality improvements. - Design and implement evaluation frameworks to measure model quality, reliability, and business impact. - Build automated testing pipelines to identify regressions, quality drops, hallucinations, and failure modes. - Develop metrics and monitoring systems to continuously assess model performance in production. - Design and implement guardrails that improve model reliability, safety, and consistency. - Build systems to detect unsafe outputs, prompt injection attempts, abuse patterns, and fraud-related behaviors. - Partner with product and engineering teams to ensure AI systems behave predictably and responsibly. - Optimize inference performance through quantization, distillation, batching, and model serving improvements. - Deploy and maintain production-grade ML systems running on GPU infrastructure. - Improve latency, scalability, and operational efficiency of LLM-powered applications. - Partner closely with Product, Engineering, and Data Science teams to identify opportunities where AI can improve user experiences. - Translate business requirements into scalable ML solutions. - Communicate technical concepts clearly to both technical and non-technical stakeholders. What will you NOT do? - You will NOT worry about "runway", "cash left", or "how much time we have until the next round". - You will NOT be confined to your "job". - You will NOT be bogged down by office politics, ego, or bad attitude. - You will NOT get yourself burned out. Can I work remotely? Yes. We operate on PST and candidates in any time zone are welcome to apply. We ask employees to travel to our San Jose, CA office up to three times per year plus one company-wide offsite to collaborate in person and strengthen working relationships. Travel expenses are covered and reasonable accommodations are made for those under unique circumstances who cannot travel. Qualifications - 3+ years of industry experience building machine learning systems. - Strong Python programming skills. - Experience working with NLP and Large Language Models. - Experience with PyTorch (preferred) or TensorFlow. - Strong understanding of deep learning fundamentals, transformers, embeddings, and modern NLP architectures. - Experience evaluating machine learning models and designing quality measurement frameworks. - Experience fine-tuning language models for production use cases. - Familiarity with model serving, inference optimization, and deployment workflows. - Experience working with SQL and large-scale datasets. - Excellent communication and collaboration skills. Benefits - Remote work with regular in-person bonding experiences sponsored by the company. - Competitive compensation. - Holistic perks program (including free therapy, employee wellness, and more). - Excellent health, dental, and vision coverage. - 401k benefits with employer matching contribution. - The chance to build something that changes lives – and that people love. - Any piece of hardware or software that will make you happy and productive. - An awesome community of co-workers. The base salary range for this position is $150,000 - $180,000. In addition to the base salary, this position is eligible for a performance bonus and the extensive benefits listed here (subject to eligibility requirements).