<p><strong>Prismatik Dentalcraft is a division of <a>Glidewell Dental</a></strong></p><p><br></p><p><strong>Essential Functions:</strong></p><ul> <li>Provides expertise and guidance in interpreting policies, regulatory and/or governmental regulations, and internal regulations to assure compliance.</li> <li>Partners with software development teams in Software Development Lifecycle (SDLC) documentation including software development plans, software verification and validation, software requirements specifications, software architecture and design documents, design and code reviews, software Risk Management File (RMF), test protocols and reports, traceability matrices.</li> <li>Participates in Quality Management System (QMS) activities in compliance with US FDA Quality System Regulations and ISO 13485.</li> <li>Participates in software risk management activities including cybersecurity risk by collaborating and providing feedback to software development teams.</li> <li>Remains current on existing and new regulations to support compliance of existing software.</li> <li>Utilizes knowledge and expertise guide development team in seeking solutions and alternatives to meet regulations.</li> <li>Conducts testing and assesses the effectiveness and accuracy of software against existing operating standards or performance guidelines.</li> </ul><p><br></p><p><strong>Minimum Qualifications:</strong></p><ul> <li>Bachelor’s degree in Engineering, Biomedical, or related technical field; or any equivalent education and/or experience from which comparable knowledge, skills and abilities have been demonstrated/achieved.</li> <li>Minimum eight (8) years of experience in quality engineering in the FDA QSR/ISO 13485 medical device industry.</li> <li>Experience with the application of IEC 62304 (Medical Device Software Lifecycle Processes), ISO 14971 (Risk Management), IEC 60601 (Medical Electric Equipment) and IEC 62366 Usability Engineering, required.</li> <li>Experience with Agile software development methodologies like Scrum and Kanban, required.</li> <li>Experience with embedded software development areas, such as web development, required.</li> <li>Previous experience with cloud-based software, preferred.</li> </ul><p><br></p><p>Pay range: $95,833-$130,000/yr</p><p><em>Exact compensation may vary based on skills and experience.</em></p>

<p><strong>Data Science – Machine Learning / Full Time / Remote</strong></p><p><br></p><p>A mission-driven company focused on enabling equitable and efficient access to insurance for everyone. The goal is to empower insurers to offer affordable coverage to individuals and organizations facing challenges such as climate change, cyber risks, and social inflation. Backed by leading investors, they leverage cutting-edge AI/ML technology to redefine how risks are managed.</p><p><br></p><p>Their AI-driven platform uses deep reinforcement learning to help insurance companies optimize their risk portfolios, ensuring fair and equitable pricing in hard-to-price areas. By operationalizing underutilized data and providing real-time risk insights, their solution improves underwriting decisions and empowers insurance underwriters to achieve their goals while delivering an essential service to society.</p><p><br></p><p><strong>What You’ll Be Doing</strong></p><p><br></p><ul><li>Design and implement scalable machine learning pipelines, optimizing prompt engineering workflows to improve accuracy and efficiency for various insurance use cases.</li></ul><p><br></p><ul><li>Evaluate and benchmark open-source large language models (LLMs), selecting and fine-tuning the most effective ones to meet business needs while ensuring adaptability and innovation.</li></ul><p><br></p><ul><li>Research and incorporate the latest advancements in prompt engineering and model optimization to refine prompts for precision and relevance, contributing to a robust ML infrastructure.</li></ul><p><br></p><ul><li>Collaborate across teams, serving as a technical lead and mentor for junior team members, enhancing overall team performance and knowledge.</li></ul><p><br></p><ul><li>Ensure production-grade deployment standards with a focus on scalability, reliability, and compliance with insurance data handling regulations, balancing rapid iteration with stability.</li></ul><p><br></p><p><strong>Who We Hope You Are</strong></p><p><br></p><ul><li>At least 5 years of experience as a Machine Learning Engineer or in a similar role, with a focus on LLM pipelines for the past 3 years.</li></ul><p><br></p><ul><li>Proven experience designing, training, benchmarking, and fine-tuning machine learning models, particularly NLP models and large language models (LLMs); familiarity with open-source models is a bonus.</li></ul><p><br></p><ul><li>Hands-on expertise in building scalable ML pipelines using tools like Kubeflow, along with automating and monitoring ML workflows to maintain consistent model performance in production.</li></ul><p><br></p><ul><li>Experience deploying models on cloud platforms, managing cloud resources, and leveraging relevant APIs for data intake, storage, and processing.</li></ul><p><br></p><ul><li>Strong communication skills with the ability to effectively convey complex findings to non-technical audiences.</li></ul><p><br></p><p><br></p><p>Keywords:</p><p><em>Senior Machine Learning Engineer, Remote, AI, Machine Learning, Deep Reinforcement Learning, Large Language Models, LLMs, NLP, Prompt Engineering, Scalable Pipelines, ML Infrastructure, Kubeflow, Cloud Platforms, Model Optimization, Underwriting, Insurance Data, Risk Management, Data Science, Benchmarking, Fine-Tuning, Mentorship, Compliance, Real-Time Insights, Production Deployment, Automation, RiskOps.</em></p><p></p>

<p>TDengine has demonstrated the viability of its flagship product with 250+ paying customers, with a number of large enterprises among them. It also enjoys the support of an enthusiastic developer and user community. Based on such strong validation we plan to invest heavily to capture the market opportunities and are confident in the fact that our quantum leap in performance and storage efficiency will win over customers effectively. At the same time, we would not want to trivialize the efforts needed and challenges to be faced in such an endeavor.</p><p><br></p><p><strong>Role Overview:</strong></p><p>We are seeking a highly skilled and motivated <strong>Solution Architect</strong> to join our growing team. As a Solution Architect, you will work closely with customers, partners, and internal teams to design and implement innovative solutions using TDengine. Your primary goal will be to help customers maximize the value of our platform while addressing their specific use cases and technical challenges.</p><p><br></p><p><strong>Responsibilities:</strong></p><p>Solution Design and Architecture</p><ul> <li>Collaborate with customers to understand their business needs, technical requirements, and existing infrastructure.</li> <li>Design end-to-end solutions leveraging TDengine’s platform, including data ingestion, storage, and analysis workflows.</li> <li>Develop integration strategies with other enterprise systems, including cloud services, IoT platforms, and industrial protocols (e.g., MQTT, OPC UA).</li> </ul><p>Customer Engagement</p><ul> <li>Serve as a trusted advisor to customers, guiding them on best practices for deploying and optimizing TDengine.</li> <li>Conduct technical workshops, proof-of-concept (POC) implementations, and demonstrations tailored to customer needs.</li> <li>Partner with sales and customer success teams to drive adoption and ensure long-term customer satisfaction.</li> </ul><p>Technical Leadership</p><ul> <li>Act as a subject matter expert (SME) for TDengine’s platform and ecosystem.</li> <li>Lead troubleshooting and performance optimization efforts in customer deployments.</li> <li>Contribute to the development of reusable architectures, templates, and documentation.</li> </ul><p> </p><p><strong>Qualifications:</strong></p><ul> <li>Strong expertise in time-series databases, data pipelines, and analytics platforms.</li> <li>Hands-on experience with database systems, including schema design and query optimization.</li> <li>Be familiar with various infrastructure stacks and technologies (bare metal, cloud, VM, containers, orchestration), network, security, etc.</li> <li>Demonstrated expertise in executing hands-on work with various clouds, third-party tools, data migration, data modeling, and performance tuning techniques.</li> <li>Ability to work within the customer environment to understand their current stacks and be able to design solutions to meet the needs on customer infrastructure.</li> <li>Experience in shell programming and scripting (i.e., Bash). Software development using one or more of the following: Go, C, C++, Python, Rust, Java is a plus.</li> <li>Excellent verbal and written communication skills.</li> <li>At least 5 years relevant working experience.</li> </ul><p><br></p><p><strong>Benefits to work with TDengine</strong></p><ul> <li>Competitive salary and early-stage stock options</li> <li>Comprehensive healthcare benefits</li> <li>Hybrid working environment</li> <li>401K</li> </ul><p><br></p><p><strong>Company Description</strong></p><p>TDengine is the cloud native, high performance, simplified solution for time-series data. It has been well received by the developer community since it was made available under open source license three years ago, garnering more than 23,400 GitHub stars so far and hundreds of clones on a daily basis. It has also found solid market traction generating rapidly growing revenue for the company. TDengine was founded and is led by veterans in the technology industry with accomplished and proven track records.</p><p> </p><p>With its success so far in the technology community as well as in the marketplace, the company has enjoyed somewhat unprecedented support from 1st tier venture capital firms including GGV, Sequoia and Matrix Partners, with rapidly rising valuation in recent years. Institutional funding to date as of series B has exceeded $70 million. Such support is also strong validation of our vision for a future, where big data will mostly be generated from machines, sensors as well as automation devices instead of user behavior or actions, which is as of this moment the mainstream perception. We have more than ample reason and evidence to believe that we are on a path to success that rivals or exceeds the mega successes in recent years in the open source big data sector.</p>

<p><strong>Data Science – Machine Learning / Full Time / Remote</strong></p><p><br></p><p>A mission-driven company focused on enabling equitable and efficient access to insurance for everyone. The goal is to empower insurers to offer affordable coverage to individuals and organizations facing challenges such as climate change, cyber risks, and social inflation. Backed by leading investors, they leverage cutting-edge AI/ML technology to redefine how risks are managed.</p><p><br></p><p>Their AI-driven platform uses deep reinforcement learning to help insurance companies optimize their risk portfolios, ensuring fair and equitable pricing in hard-to-price areas. By operationalizing underutilized data and providing real-time risk insights, their solution improves underwriting decisions and empowers insurance underwriters to achieve their goals while delivering an essential service to society.</p><p><br></p><p><strong>What You’ll Be Doing</strong></p><p><br></p><ul><li>Design and implement scalable machine learning pipelines, optimizing prompt engineering workflows to improve accuracy and efficiency for various insurance use cases.</li></ul><p><br></p><ul><li>Evaluate and benchmark open-source large language models (LLMs), selecting and fine-tuning the most effective ones to meet business needs while ensuring adaptability and innovation.</li></ul><p><br></p><ul><li>Research and incorporate the latest advancements in prompt engineering and model optimization to refine prompts for precision and relevance, contributing to a robust ML infrastructure.</li></ul><p><br></p><ul><li>Collaborate across teams, serving as a technical lead and mentor for junior team members, enhancing overall team performance and knowledge.</li></ul><p><br></p><ul><li>Ensure production-grade deployment standards with a focus on scalability, reliability, and compliance with insurance data handling regulations, balancing rapid iteration with stability.</li></ul><p><br></p><p><strong>Who We Hope You Are</strong></p><p><br></p><ul><li>At least 5 years of experience as a Machine Learning Engineer or in a similar role, with a focus on LLM pipelines for the past 3 years.</li></ul><p><br></p><ul><li>Proven experience designing, training, benchmarking, and fine-tuning machine learning models, particularly NLP models and large language models (LLMs); familiarity with open-source models is a bonus.</li></ul><p><br></p><ul><li>Hands-on expertise in building scalable ML pipelines using tools like Kubeflow, along with automating and monitoring ML workflows to maintain consistent model performance in production.</li></ul><p><br></p><ul><li>Experience deploying models on cloud platforms, managing cloud resources, and leveraging relevant APIs for data intake, storage, and processing.</li></ul><p><br></p><ul><li>Strong communication skills with the ability to effectively convey complex findings to non-technical audiences.</li></ul><p><br></p><p><br></p><p>Keywords:</p><p><em>Senior Machine Learning Engineer, Remote, AI, Machine Learning, Deep Reinforcement Learning, Large Language Models, LLMs, NLP, Prompt Engineering, Scalable Pipelines, ML Infrastructure, Kubeflow, Cloud Platforms, Model Optimization, Underwriting, Insurance Data, Risk Management, Data Science, Benchmarking, Fine-Tuning, Mentorship, Compliance, Real-Time Insights, Production Deployment, Automation, RiskOps.</em></p><p></p>

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<p><strong>Title: Salesforce Admin – Voice Cloud Omnichannel Specialist</strong></p><p><strong>Location: Century City - Hybrid - 3 days a week onsite</strong></p><p><strong>Overview of Role:</strong></p><p>We are seeking a skilled Salesforce Admin with a specialization in Voice Cloud Omnichannel experience to join our dynamic team. The ideal candidate will have a strong foundation in Salesforce administration and development, with expertise in automation, process flows, and omnichannel communication tools. This role will require a mix of technical proficiency and excellent communication skills to translate business requirements into impactful Salesforce solutions.</p><p><br></p><p><strong>Company Description:</strong></p><p>Our client is a mid-size legal practice focused on consumer protection rights and class action suits. They focus on state-of-the-art legal technology and are quickly expanding.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul> <li>Administer and manage Salesforce Lightning and Communications Cloud, focusing on omnichannel engagement tools (voice, texting, and more).</li> <li>Configure and optimize Salesforce for call routing and voice-over-IP tools.</li> <li>Collaborate with stakeholders to gather business requirements, implement changes, and ensure smooth adoption of solutions.</li> <li>Develop and maintain process builders, flows, and automation workflows to enhance operational efficiency.</li> <li>Integrate and manage tools like Gravity Forms (preferred but not required).</li> <li>Work with Palantir and other platforms as needed to support business objectives.</li> <li>Ensure seamless voice and engagement experiences for agents using Salesforce's omnichannel capabilities.</li> <li>Provide support for Salesforce-related inquiries and troubleshoot system issues.</li> </ul><p><br></p><p><strong>Qualifications:</strong></p><ul> <li>Salesforce Administrator and Developer certifications (required).</li> <li>Proven experience with Salesforce Lightning and omnichannel communication tools.</li> <li>Strong background in process automation, including flow and process builder configurations.</li> <li>Familiarity with Gravity Forms is a plus.</li> <li>Excellent communication and interpersonal skills to work effectively with cross-functional teams.</li> <li>Ability to analyze, design, and implement business requirements within the Salesforce ecosystem.</li> <li>Experience working with cloud-based engagement and communication tools like voice-over-IP systems.</li> <li>Exposure to Palantir for data insights and integrations.</li> </ul><p><br></p><p><strong>Benefits:</strong></p><ul> <li>Medical, dental, and vision benefits</li> <li>Generous PTO package</li> <li>Annual bonus</li> </ul>