Engineering Associate Jobs in Fairfield, CA

Job Title: We are looking for a Machine Learning Engineer with background of embedded domain. As part of the organization, you will be responsible to build high performing health devices and systems. Gather data from various sources, clean, and prepare for analysis Create and redefine ML algorithms to solve problems. Train ML models to use prepared data, conduct experiments, record findings, and evaluate model performance. Conduct testing of ML models in various scenarios to perform in different environments. Monitor the performance of deployed models, issues, and necessary adjustments to improve efficiency. Work closely with XFN partners including data, software & hardware engineers, project managers and other internal and external stakeholders. Technical Skills required: Experience with end-to-end solutions, solving ambiguous problems. Overall experience of 5+ years. Fluency in programming with Python; experience with PANDAS, Numpy, PyTorch. Bachelor's degree in computer science, similar technical field, or equivalent practical experience. Embedded background. Preferred Skills: Experience with health tech, consumer products. Experience working with hardware acceleration (e.g., GPU, DSP, ML accelerator, CPU kernel library). Prior experience developing models for low-resource edge devices (Wearables, Mobile phone). Good to have: Prior experience developing models based on input data from sensors typically used on personal-compute devices (accelerometer, gyro, PPG, pressure, microphone, temperature etc) Education: Bachelors/Masters

Requisition ID # 164207 Job Category: Engineering / Science Job Level: Individual Contributor Business Unit: Electric Engineering Work Type: Hybrid The Electric Engineering team ensures the delivery of safe and reliable electric service to our customers. Electric Engineering is responsible for PG&E's electric distribution and transmission operations, including planning, engineering, maintenance and construction, asset management, business planning, restoration, and emergency response. The Substation Civil Engineering department is responsible for civil work for all PG&E substations. This includes the design of foundations, structures, grading, equipment seismic qualification, Spill Prevention Control and Countermeasure (SPCC) plans and modifications, and seismic retrofit of buildings and equipment support structures. Position Summary This position is represented by Engineers and Scientists of California (ESC) subject to collective bargaining. This is a journey-level engineer job that requires mastery of the Associate level engineer skills and duties and is responsible for leading the engineering and design of more complex projects. Uses independent judgment in applying engineering principles, working with minimal supervision. Works with engineers, project managers, construction personnel, and other business partners in assessing project needs. Responsibilities beyond those of associate Project engineer include, but are not limited to, the following: develop technical studies and reports, and provide guidance to contractors and outside vendors. This position is hybrid, working from your remote office and your assigned work location based on business need. The assigned work location will be within the PG&E Service Territory. PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, collective bargaining agreements, and internal equity. The salary range is: CA Minimum, $115,128 CA Maximum, $175,080 Job Responsibilities Assists with or conducts project walkdowns and works with project team, including both internal and external clients, to establish scope of work, schedule, and cost commitments. Gathers technical information from field data and project team. Prepares cost estimates. Investigates resources required to complete engineering and project-related tasks Establishes engineering schedule. Prepares project forecast for engineering, tracks progress, updates as needed, and provides periodic updates. Provides guidance to design and contractor team members, and reviews design and technical documents. Coordinating with other lines of business, ensures designs and technical documents meet appropriate criteria, quality, and job scope. Approves revisions to existing drawings for routine projects. Procures long-lead time material for assigned projects. Under direction, reviews and approves project material procurement list, vendor drawings, equipment specification updates, and engineering material requests. Participates in periodic design review meetings. Coordinates project activities with other disciplines for routine projects. Under direction, provides construction support and evaluates and makes recommendations to resolve field construction problems. May perform functions of Associate level Engineer and in addition: Provides technical expertise and performs engineering analyses, studies, and develops conceptual designs. Presents findings to internal organizations, contractors, and outside vendors. Conducts walkdowns and design review meetings. Prepares written technical documents such as design criteria, specifications, and reports. Develops, evaluates, and recommends alternative project proposals Solicits, prepares, and evaluates contracts and proposals from engineering consultants. Reviews consultant contracts for technical compliance. Interprets and applies applicable codes and regulations. Participates in the development of effective restoration plans. Assists in root cause analysis. Approves reports, new drawings, and revisions to existing drawings for projects. In emergencies, promptly responds to facility failures. Represents PG&E to government bodies as required for assigned projects. Qualifications Minimum: Bachelor's degree in Civil Engineering degree or a related technical discipline from an accredited curriculum in the US or the equivalent from outside the US Current and active California PE Civil license 3 years of experience in civil or structural engineering and design Desired: Master's degree in Civil or Structural Engineering Interprets applicable codes, industry standards and regulations and educates others. Familiar with ASCE 7, ACI 318, AISC 360 and California Building Code Familiar with SAP2000 or similar structural analysis program #featuredjob

Join our Team! Randall Lamb Associates (RLA), a consulting engineering firm in the Architectural, Engineering and Construction industry (AEC) is seeking a Mechanical Designer or Engineer for its San Francisco AND San Diego locations. This position will provide design and engineering support for projects in the construction industry that include a variety of market sectors: Public agencies, education, hospitality, commercial, and science & technology. The successful candidate must be a self-starter with the desire and ability to work well in a team environment in our locales. Qualifications: Bachelor of Science in Mechanical Engineering Professional Registration (PE) or Engineer-in-Training (EIT) preferred 2 - 5 years of verifiable experience in building engineering AutoCAD experience required Revit/BIM experience required Excellent communications skills Randall Lamb Associates is a prominent multi-disciplined, award-winning firm offering integrated services that include mechanical, electrical and plumbing (MEP) engineering, LEED coordination, and sustainable design. With offices in San Diego and San Francisco, Randall Lamb professionals enjoy living and working in an environment with extensive cultural pursuits and year-round activities. We offer competitive salaries, excellent benefits, challenging work, a mentor program and great working environment. Industry Construction Design Services Employment Type Full-time

Leading the design and implementation of advanced fiber optic connectivity solutions, including next-generation products and customer-driven enhancements. Providing strategic, hands-on expertise to drive innovation with deep technical knowledge and strong market insights Duties/Responsibilities: Design and implementation of fiber optic connectivity solutions, focusing on products such as fiber optic connectors, adapters, and inside/outside plant cable assemblies for the Telecom Service Provider, Enterprise, and Hyperscale markets. Analyze market trends to align product designs with future demands, contributing to strategic growth and portfolio expansion. Act as a technical liaison for Sales, supporting customer inquiries, solution design discussions, and custom product requests. Collaborate on new product concepts and enhancements, contributing innovative ideas for next-generation connectivity solutions. Partner with manufacturing and quality teams to ensure product reliability, durability, and performance meet high standards. Provide guidance on large and small projects utilizing the Stage-Gate process, including gate reviews, technical updates, and communication with commercial and business teams. Engage with external customers, suppliers, and internal teams (business development, corporate technology, manufacturing, quality, and testing) to align project goals and ensure seamless execution. Qualifications and Experience: Bachelor's Degree (BA) from four-year college or university, or one to two years of related experience and/or training, or equivalent combination of education and experience. 5+ years of experience with fiber optic connectivity products for indoor and outdoor applications, including various assemblies, connectors, and distribution solutions Strong expertise in fiber optic connectivity solutions for ISP/OSP applications, standards, and industry trends. Proficiency in CAD software and familiarity with MRP/ERP systems. Excellent problem-solving skills with a strategic mindset for delivering hands-on solutions. Effective communication skills for working with Sales, customers, and cross-functional teams. Self-motivated, high-integrity individual able to excel in challenging environments with minimal supervision. Willingness to travel occasionally to customer sites and trade shows for product support and market engagement Knowledge of the U.S. Patent System is a plus Competencies: Technical Expertise: Proficient in the design and development of advanced connectivity solutions within the fiber optics industry. Strategic Insight: Anticipates market trends, aligning product development with evolving customer needs. Innovation & Creativity: Skilled in generating new product ideas and refining existing designs to enhance functionality and customer value. Customer-Focused: Ability to understand and meet customer requirements, supporting Sales and customer investigations. Problem-Solving: Proactive and efficient in identifying challenges and implementing solutions. Collaboration: Strong interpersonal skills for seamless collaboration with Sales, Quality, and Manufacturing teams. Project Management: Experienced in managing multiple projects, ensuring timelines, budgets, and quality standards are met. Physical Requirements and Work Environment: Occasionally required to stand Occasionally required to walk Frequently required to sit Occasionally required to utilize hand and finger dexterity Frequently required to talk or hear While performing the duties of this job, the noise level in the work environment is usually moderate. The employee must occasionally lift and/or move more than 50 pounds / frequently lift and/or move up to 20 pounds The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities, or physical requirements. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Company provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Pay Transparency: The starting annual salary for this opportunity ranges from $130,000-$150,000. Other rewards may include annual bonus eligibility, which is based on company and individual performance. Company provides a variety of benefits to employees, including medical, dental and vision insurance coverage, life and disability insurance, retirement savings plan, paid holidays, and paid time off (PTO). Please note that the compensation information is a good faith estimate for this position. It assumes a rate based on location and experience. Company will consider qualified applicants with a criminal history pursuant to the California Fair Chance Act. You do not need to disclose your criminal history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if the company is concerned about conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report. Find out more about the Fair Chance Act by visiting calcivilrights.ca.gov/fair-chance-act/.

Robotics Field Engineer / Robotics Field Technician Are you passionate about cutting-edge robotic automation? We're looking for a skilled Robotics Field Engineer / Robotics Field Techniciann to play a key role in maintaining and optimizing advanced robotic systems across various manufacturing environments. About the Role In this hands-on position, you'll work with a diverse range of robotic equipment, performing preventative, corrective, and predictive maintenance to ensure seamless operation. You'll diagnose and resolve technical issues, provide detailed service reports, and collaborate with engineers and technicians to enhance performance and reliability. Key Responsibilities: Maintain, inspect, and repair robotic automation systems at customer sites Systematically diagnose issues and apply effective resolutions Ensure high-quality service that exceeds customer expectations Provide detailed reports, including root cause analysis (RCA) Lead RCA activities and mentor junior technicians as needed Maintain a strong commitment to safety and compliance standards What You Bring: 2+ years of field service experience with robotics Experience with multi-axis (5 or 6) based Robots Self-motivated and able to work independently Willingness to travel up to 80% (primarily local with occasional overnight stays) Flexible schedule to support production needs Valid driver's license and personal vehicle for local travel (mileage reimbursement provided) If you're ready to take on a dynamic role in a fast-growing field, apply today!

Robotics Maintenance Engineer & Robotics Maintenance Technician Remote with Travel role About the PODS (Production Optimization, Deployment & Solutions) team: Perform preventative, corrective, and predictive maintenance activities for robotic cells in customer sites Coordinate and execute inspection, maintenance, and repair tasks on robotic-centric manufacturing cells in the field Systematically diagnose technical issues, apply standard resolution tactics, and repair equipment with consistency Demonstrate passion about robotics-centric automation, be energized by the variety of manufacturing settings you will encounter, and use your demonstrated troubleshooting and maintenance skills to meet and exceed customer expectations Proactively identify potential problems and provide solutions, instilling customer confidence in Formic service Provide detailed service reports that list the Issue, root cause analysis (RCA) and solution Lead RCA activities with a team of engineers and technicians across the team Effectively communicate with all levels of internal and external stakeholders from operators to senior management and executives Demonstrate a high level of attention to detail in everything thing you do Mentor junior or newly hired Engineers and Technicians as needed Coordinate onsite schedule (self, vendor, and when applicable, other technicians) in alignment with customer expectations Ensure compliance with safety regulations and policies, as well as a clean and safe work environment Requirements: 2+ years field service/maintenance experience with robotics automation Prior experience installing, diagnosing, and repairing 6-axis robots Experience using Computerized Maintenance Management Systems (CMMS) A motivated self-starter, able to work independently Ability to travel up to 80% travel - mostly driving within a local area - with up to 20% requiring overnight stays Current, valid driver's license and access to your own vehicle for daily local travel (Formic does provide mileage and expense reimbursement for travel-related expenses within policy) Ability to work alternative schedules to support production outages, including some weekends, nights, and on-call hours Currently located in, or willing to relocate to, the greater Sacramento, CA area (including greater Sacramento, East Bay, Oakland, Modesto)

Data Engineering Internship - Talent Skull Are you ready to gain real-world experience in data engineering while working alongside professionals from around the world? Talent Skull, a leading HR consultancy specializing in talent acquisition and development, is offering an exciting Data Engineering Internship opportunity! If you are passionate about working with large datasets, optimizing data pipelines, and building scalable data architectures, this internship will provide you with hands-on experience in data engineering projects. About the Role As a Data Engineering Intern, you will collaborate with experienced data engineers to design, build, and maintain data infrastructure and pipelines that enable efficient data processing and analysis. This role will give you exposure to cutting-edge tools and technologies while helping you build a strong foundation in data engineering practices. Key Responsibilities Assist in designing, building, and maintaining scalable data pipelines to process large volumes of data. Work with databases, data warehouses, and data lakes to structure and store data effectively. Clean, transform, and preprocess raw data to ensure it is ready for analysis. Collaborate with data scientists and analysts to understand data needs and support their work with data infrastructure. Implement data quality checks to ensure the integrity and accuracy of data. Assist in optimizing existing data workflows to improve efficiency and performance. Work with cloud platforms like AWS, Google Cloud, or Azure to manage data storage and processing. Support the automation of data collection and processing tasks. Conduct research on the latest data engineering tools and technologies and suggest improvements. Required Skills & Qualifications Currently pursuing or recently completed a degree in Computer Science, Engineering, Data Science, or a related field. Strong proficiency in SQL and Python for data manipulation and pipeline development. Familiarity with cloud platforms like AWS, Google Cloud, or Microsoft Azure. Experience with data storage solutions such as relational databases, NoSQL databases, and data lakes. Knowledge of big data technologies like Hadoop, Spark, or Kafka is a plus. Understanding of ETL (Extract, Transform, Load) processes and tools. Strong problem-solving skills and the ability to troubleshoot complex data issues. Ability to work independently and as part of a collaborative team. Excellent communication skills to collaborate with cross-functional teams. Perks & Benefits Real-world exposure to global data engineering projects and tools. Mentorship and hands-on guidance from experienced data engineers. Certificate of completion at the end of the internship based on your overall performance Hands-on experience with industry-standard data engineering platforms. Opportunity to network with professionals in the data engineering field. High-performing interns may receive a full-time job offer. Internship Details Duration: 3-6 months Location: Remote Start Date: Immediate openings available

About the Company Curve Biosciences™ (“Curve”) is creating AI-driven, biologically-rooted insights for chronic care. Our personalized insights into biology will usher 130 million patients to the next frontier of care. Our Whole Body Atlas, the largest tissue database in the world, uniquely enables us to deliver actionable, biological insights and complement other clinical tools. Led by a team with decades of biotech experience and multiple successful exits, Curve is focusing on chronic liver care with the vision to rapidly expand to other chronic diseases. Our potential to transform chronic care is tied to developing infrastructure for cutting-edge AI/ML modeling pipelines on high-throughput next-generation sequencing (NGS) data. We're seeking a creative, motivated Machine Learning Platform Engineering Intern with experience or strong interest in collaborating closely with computational scientists, software engineers, and regulatory compliance experts to design, implement, and scale computational platforms. To excel in this 12-week role, you possess strong technical expertise, exceptional communication skills, and a cultural fit that embraces teamwork, adaptability, and innovative thinking. This position is ideal for a proactive, detail-oriented individual who is eager to quickly integrate into a collaborative team, leverage existing knowledge, rapidly acquire new skills, and iteratively build scalable and compliant ML infrastructure. Responsibilities Design, develop, and deploy scalable, cloud-native infrastructure to support enterprise-scale ML systems Implement infrastructure and tooling that adheres to regulatory compliance requirements for life sciences data (e.g., HIPAA) Create tools and services enabling FAIR (Findable, Accessible, Interoperable, Reusable) data practices, thereby enhancing reproducibility and scalability of analysis pipelines Collaborate in optimizing distributed computing workflows that leverage frameworks like Kubernetes, Dask, Ray, or other parallelization technologies Cross-functionally build with Computational Sciences, Software Engineering, and Data teams to identify infrastructure and scalability needs Document progress through clear, reproducible code, regular technical updates, and presentations to stakeholders Deliver a final presentation highlighting key achievements, technical challenges solved, and recommended next steps Promote a culture of scientific integrity, growth, transparency, collaboration, mutual respect, and fun, while contributing to our goal of improving patient lives Job Skills and Qualifications Pursuing senior undergraduate year or above (Bachelor's, Master's, PhD, or recent PhD graduate/postdoc) in Computer Science, Engineering, Data Science, Bioinformatics, or related technical fields. Passionate about applying technological innovations to medical product development Proficient in Object Orient Programming in Python and comfortable in Linux environments Experienced or familiar with ML frameworks (e.g., PyTorch, Lightning, JAX, Scikit-Learn) and performance optimization tools (e.g., Numba) Skilled in writing scalable code, optimizing time and space complexity, and implementing custom kernels Interest or familiarity with container orchestration (e.g., Kubernetes), cloud infrastructure automation (e.g., Terraform), and distributed computing frameworks (e.g., Ray, Dask) Interest or familiarity with CI/CD pipelines, Git/GitHub workflows, and cloud platforms (e.g. GCP, AWS) Interest or experience with different parallelism strategies (e.g. data parallelism, model parallelism, pipeline parallelism) Interest or experience in high-performance Python-based I/O and data management systems (e.g., WebDataset) and ML workflows and experiment tracking tools (e.g. MLflow) Manage projects, prioritize effectively, and meet deadlines in dynamic environments Strong attention to detail for maintaining code and data integrity Excellent interpersonal, analytical, communication, and presentation skills Demonstrated ability to collaborate cross-functionally to achieve goals efficiently Skilled at summarizing complex scientific information into clear visualizations Ability to work from San Mateo office at least 2-3 times per week (Summer 2025) Employee Benefits Curve Biosciences is dedicated to improving our patients' lives and supporting our employees' dreams. Some of our employee benefits include: Competitive 12-week compensation (hourly) A high degree of trust in your ideas and execution Integrating you into our team and valuing you as a whole person - not as a resource Hands-on mentorship from seasoned industry leaders and engineers Exposure to cutting-edge technologies shaping the future of healthcare and biotech Professional growth through networking, training, and interactions with senior leadership Beautiful, modern office space in San Mateo featuring catered lunches, snacks, drinks, and on-site fitness facilities Curve Biosciences is an equal opportunity employer. We highly value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, age, sexual orientation, marital status, veteran status or disability status.

Research Engineer - Post Training Reinforcement Learning TensorStax is building fully autonomous AI systems to manage and maintain mission-critical data infrastructure and pipelines. We leverage reinforcement learning to enhance language models' ability to reason over large-scale data lakes and warehouses, detect pipeline failures, construct new pipelines with high precision, and enable agentic behavior-allowing systems to proactively identify and resolve issues autonomously. What You'll Do As a Research Engineer specializing in Reinforcement Learning, you will: Develop and refine reward functions to optimize agent behavior for complex data engineering tasks. Create RL gym environments for language model agents. Fine-tune language models using reinforcement learning techniques such as PPO, DPO, and KTO. Stay at the forefront of research on RL for language models, incorporating advancements like GRPO, SWE-Gym, and SWE-RL into practical applications. Curate and build high-quality datasets for supervised fine-tuning (SFT) and RLHF. Design experiments to evaluate and improve the agentic capabilities of language models in data environments. What We're Looking For Deep understanding of reinforcement learning, reward shaping, and optimization strategies. Strong familiarity with LLM fine-tuning techniques (PPO, DPO, KTO) and their applications in reinforcement learning. Knowledge of recent advancements in RL for language models (GRPO, SWE-Gym, SWE-RL). Experience curating and constructing high-quality datasets for fine-tuning. Strong problem-solving skills and a history of working on complex ML projects. High agency-ability to work independently, experiment proactively, and drive research initiatives forward. Bonus Points Experience with distributed training in PyTorch (DDP, FSDP). Hands-on experience designing RL environments for traditional RL problems. Contributions to open-source projects in RL, LLMs, or ML infrastructure. Familiarity with data lakes and warehouses (Snowflake, BigQuery, Redshift). Benefits 100% employer-covered health, dental, and vision insurance. 401(k) with company match. Access to Bay Club or Equinox in San Francisco.

About the role At FurtherAI, we're creating AI Agents to automate tasks traditionally requiring human expertise. As the Founding Applied Research Engineer, you'll work on developing and productizing product-focused solutions, leveraging Large Language Models (LLMs) and Vision Language Models (VLMs) to solve real-world challenges and push the boundaries of what AI can achieve. LLMs can solve 80% of a problem, but the leap from 80% → 100% is where true innovation happens. Your mission: capture the peaks of intelligence while ensuring the reliability and consistency of human-level performance. This is an in-person role based in San Francisco, CA. Kind of challenges you'll work on Build an agent swarm to automatically triage inbox Accurately extract structured and unstructured data from any type of document. Design validator systems to detect AI failures to escalate them to human reviewers. What we're looking for Passion for iterating fast and building things - if you're exceptional in this area, other requirements are optional. Experiment with novel techniques to improve the accuracy and reliability of LLMs and VLMs. Expertise in fine-tuning existing foundation models. Proficiency in creating and curating training and evaluation datasets Deploying LLMs in production environments Staying up-to-date with the latest advancements and trends in AI. Bonus: Publishing in leading AI/ML conferences (e.g., NeurIPS, CVPR, ACL). What we value At FurtherAI, we take immense pride in our work, operate with a strong sense of ownership, and are relentless in our pursuit of excellence. Every member of our team works extremely hard, driven by the common goal of building something transformative. If you're not ready to bring this level of commitment and ownership to the table, this role may not be the right fit for you. Perfect Opportunity if you want to Build new product experiences that use AI agents as centerpiece Work with cutting-edge LLM and VLM models Be one of the first employees in a fast-paced startup Start your own company in the future (66% of our team is ex-founders!) About FurtherAI At FurtherAI, we are building a workforce of AI Teammates to automate insurance workflows. These AI Teammates can practically automate any insurance workflow involving processing unstructured documents, data entry into internal systems or web portals, or even making phone calls. Our core mission is to answer a critical question: Can AI be made as reliable, adaptive, and continuously learning as a new human employee? We have successfully raised a seed round from top-tier investors, including Y Combinator, South Park Commons, and Converge VC (full announcement soon). Our founding team features a second time founder and a language modeling scientist from Apple, who have known each other for over 12 years.

Technical Success EngineerAbout Alembic Alembic applies cutting-edge algorithms and composite AI solutions to provide a new approach for marketing data analytics. Unlike tools that only provide correlation, only Alembic provides true causation, giving organizations across sector and industry the ability to quantify the value of every marketing activity and maximize future marketing investments. We're backed by leading tech luminaries and innovators including WndrCo, founded by DreamWorks founder Jeffrey Katzenberg, Jensen Huang, Joe Montana, and many more. About the Role We're seeking a highly skilled and experienced individual to join our team as a Technical Success Engineer. As a critical member of our team, you'll serve as the technical value champion throughout the customer lifecycle by leveraging platform expertise to showcase capabilities, analyze outcomes, and ensure customers achieve measurable business impact from their investment in the Alembic platform. This role is crucial in powering the success of our company by bridging the gap between technical capabilities and business value, working across both the sales and customer success functions. What You'll Do Drive technical proof points during sales process that increase win rates Develop and execute sophisticated analyses that demonstrate clear ROI for customers Create reusable technical methodologies that scale value demonstration across accounts Deliver compelling technical demonstrations and presentations that articulate Alembic's unique value proposition Analyze customer data to identify patterns, trends, and optimization opportunities Increase customer retention and expansion through data-driven insights Build trusted technical advisor relationships spanning prospect to mature customer stages Collaborate with product teams to provide voice-of-customer input based on technical needs Create and maintain technical documentation and best practices for customer success use cases Growth Opportunities Technical Value Framework: Develop innovative methodologies for quantifying and demonstrating the business impact of our platform Customer Success Strategy: Influence our approach to technical enablement and value realization across the customer lifecycle Product Direction: Become a key voice in product development based on your deep understanding of customer technical needs What Will Help You SucceedMust-Haves 7+ years experience in technical analytics, data science, sales engineering, or similar technical roles Strong Python / SQL skills with demonstrated ability to analyze complex datasets Experience with data visualization tools and creating business-focused reports Ability to translate technical concepts into accessible business insights Strong presentation skills with experience delivering technical demonstrations Proven ability to work effectively with both technical stakeholders and business users Technical problem-solving orientation with attention to detail Should-Haves Background spanning both pre-sales and post-sales technical roles Experience with dashboard development Demonstrated ability to build relationships as a technical advisor Experience defining and measuring technical KPIs aligned to business goals Understanding of attribution models and marketing analytics methodologies Background working in SaaS or enterprise software environments Nice-to-Haves Specific experience with marketing analytics platforms or media measurement tools API integration knowledge and experience with data transformation processes Experience developing custom analytics solutions for enterprise clients Background working with enterprise clients in marketing/advertising technology Experience creating technical training materials Knowledge of statistical analysis and experimental design Experience in a hybrid sales/success function Hiring Process We view hiring as a two-way conversation. We also believe speed is paramount in delivering a great candidate experience. We focus on getting to know who you are, what you want to do, and how you do your best work. We know you're busy, so we like to move through stages quickly. We'll ask you to introduce us to references at offer stage. Why You Might Be Excited About Alembic You want to solve complex technical challenges while directly impacting business outcomes You enjoy bridging the gap between technical capabilities and business value You thrive in roles that span the full customer lifecycle from sales through success You want to work where you can take a big swing at building something big while maximizing your personal growth Why You Might Not Be Excited You prefer purely technical roles without business or customer interaction You prefer company practices with 100% built out process for every little detail You prefer static over dynamic. Projects, priorities, and roles will adapt to your skill set and your goals We'd love to share more with you. If you want to learn more about Alembic or this role, please let us know of your interest. #J-18808-Ljbffr

Technical Success EngineerAbout Alembic Alembic applies cutting-edge algorithms and composite AI solutions to provide a new approach for marketing data analytics. Unlike tools that only provide correlation, only Alembic provides true causation, giving organizations across sector and industry the ability to quantify the value of every marketing activity and maximize future marketing investments. We're backed by leading tech luminaries and innovators including WndrCo, founded by DreamWorks founder Jeffrey Katzenberg, Jensen Huang, Joe Montana, and many more. About the Role We're seeking a highly skilled and experienced individual to join our team as a Technical Success Engineer. As a critical member of our team, you'll serve as the technical value champion throughout the customer lifecycle by leveraging platform expertise to showcase capabilities, analyze outcomes, and ensure customers achieve measurable business impact from their investment in the Alembic platform. This role is crucial in powering the success of our company by bridging the gap between technical capabilities and business value, working across both the sales and customer success functions. What You'll Do Drive technical proof points during sales process that increase win rates Develop and execute sophisticated analyses that demonstrate clear ROI for customers Create reusable technical methodologies that scale value demonstration across accounts Deliver compelling technical demonstrations and presentations that articulate Alembic's unique value proposition Analyze customer data to identify patterns, trends, and optimization opportunities Increase customer retention and expansion through data-driven insights Build trusted technical advisor relationships spanning prospect to mature customer stages Collaborate with product teams to provide voice-of-customer input based on technical needs Create and maintain technical documentation and best practices for customer success use cases Growth Opportunities Technical Value Framework: Develop innovative methodologies for quantifying and demonstrating the business impact of our platform Customer Success Strategy: Influence our approach to technical enablement and value realization across the customer lifecycle Product Direction: Become a key voice in product development based on your deep understanding of customer technical needs What Will Help You SucceedMust-Haves 7+ years experience in technical analytics, data science, sales engineering, or similar technical roles Strong Python / SQL skills with demonstrated ability to analyze complex datasets Experience with data visualization tools and creating business-focused reports Ability to translate technical concepts into accessible business insights Strong presentation skills with experience delivering technical demonstrations Proven ability to work effectively with both technical stakeholders and business users Technical problem-solving orientation with attention to detail Should-Haves Background spanning both pre-sales and post-sales technical roles Experience with dashboard development Demonstrated ability to build relationships as a technical advisor Experience defining and measuring technical KPIs aligned to business goals Understanding of attribution models and marketing analytics methodologies Background working in SaaS or enterprise software environments Nice-to-Haves Specific experience with marketing analytics platforms or media measurement tools API integration knowledge and experience with data transformation processes Experience developing custom analytics solutions for enterprise clients Background working with enterprise clients in marketing/advertising technology Experience creating technical training materials Knowledge of statistical analysis and experimental design Experience in a hybrid sales/success function Hiring Process We view hiring as a two-way conversation. We also believe speed is paramount in delivering a great candidate experience. We focus on getting to know who you are, what you want to do, and how you do your best work. We know you're busy, so we like to move through stages quickly. We'll ask you to introduce us to references at offer stage. Why You Might Be Excited About Alembic You want to solve complex technical challenges while directly impacting business outcomes You enjoy bridging the gap between technical capabilities and business value You thrive in roles that span the full customer lifecycle from sales through success You want to work where you can take a big swing at building something big while maximizing your personal growth Why You Might Not Be Excited You prefer purely technical roles without business or customer interaction You prefer company practices with 100% built out process for every little detail You prefer static over dynamic. Projects, priorities, and roles will adapt to your skill set and your goals We'd love to share more with you. If you want to learn more about Alembic or this role, please let us know of your interest. #J-18808-Ljbffr

About Us At Arbor, we're not just building tools-we're reshaping the future of the home improvement and building materials industry. Our mission is to revolutionize how businesses operate by automating complex processes, optimizing supply chains, and building a resilient, intelligent marketplace powered by advanced large language models (LLMs) and machine learning. If you're passionate about pushing AI boundaries, creating transformative applications, and seeing the direct impact of your work, we'd love for you to join our innovative team. What You'll Do As a Generative AI Engineer, you'll play a critical role in advancing our AI capabilities. You'll design, develop, and deploy applications powered by state-of-the-art LLMs that enhance every aspect of our platform, from demand forecasting to intelligent customer support and product recommendations. Key Responsibilities Develop AI-Driven Applications: Lead the development of generative AI applications using LLMs, directly impacting key areas like demand forecasting, product recommendations, and real-time customer support. Experiment and Innovate: Explore new LLM architectures and techniques to enhance application performance and adaptability. This includes prompt engineering, model fine-tuning, and incorporating external data to improve prediction accuracy. Collaborate with Cross-Functional Teams: Partner closely with product, design, and operations teams to turn business goals into AI-powered solutions that make a measurable difference in user experience and operational efficiency. Optimize for Scale and Performance: Leverage advanced optimization and machine learning techniques to build solutions that are efficient, scalable, and cost-effective while maintaining top-tier performance standards. Champion AI Best Practices: Establish best practices in AI model development, deployment, and documentation to ensure quality and reproducibility as we scale our engineering team. Who You Are AI Visionary: You're passionate about the potential of AI and excited to lead the charge in generative technology that will shape the future of housing and construction. Experienced with LLMs: You bring extensive experience working with large language models (e.g., GPT-4, BERT) and generative AI applications, with a track record of deploying and optimizing LLM-based systems. Problem-Solver: You thrive in a startup environment and are adept at tackling complex, ambiguous challenges with a solutions-first mindset. Data-Driven and Analytical: Skilled at working with large datasets, you experiment with model architectures and measure outcomes to drive continuous improvement. Collaborative Team Player: You communicate technical concepts effectively across disciplines and enjoy working in a dynamic, cross-functional environment. Preferred Qualifications 4+ years of experience in machine learning or AI, with a focus on generative AI or natural language processing. Technical Proficiency: Advanced skills in Python and ML frameworks like PyTorch, TensorFlow, and Hugging Face Transformers. Production Experience: Hands-on experience deploying and optimizing ML models in production. ML Ops & Cloud Proficiency: Familiarity with ML Ops practices and cloud services (AWS, GCP, Azure). Why Join Arbor? Impactful Work: Be part of a mission to revolutionize the construction and home improvement industries through pioneering AI solutions. Your work will shape the future of housing and make a tangible impact on people's lives. Unmatched Opportunity: Join at a pivotal stage of growth in a trillion-dollar industry with vast, untapped potential. Here, you'll have the freedom to innovate and contribute to industry-defining solutions. Growth and Development: We are committed to investing in our team's professional development and growth. You'll have ample opportunities to lead, innovate, and grow as we scale. Dynamic Culture: Work in a fast-paced, agile environment where creativity, efficiency, and collaboration are celebrated. Competitive Package: We offer a competitive salary, equity options, flexible working hours, and comprehensive benefits.

This position will play a central role in establishing and improving efficiencies in the laser manufacturing of life-saving medical device components. As a manufacturing engineer in operations, the role will be the initiation and follow through of all projects getting manufactured. Additional focus areas may include process development, project planning and management, operator training, programming, process validation, manufacturing performance metrics, process documentation, and quality documentation. You'll collaborate with a fun and close-knit agile team to architect, implement, test, and continuously deliver new improvements to enable our customers to develop transformative devices at a record pace. Job title negotiable to reflect the level of prior related experience. Responsibilities and Duties: Review and breakdown job cost baselines for parts based on customer prints. Convert quotes to work orders to be manufactured. Strategic sourcing of materials for jobs based on customer needs and internal needs. Discuss projects and project planning with customers Work across all departments to identify vital features and process improvements. Improve internal processes and automation to scale order volume Programming of proprietary laser machines to produce lifesaving, medical device components. Solving complex manufacturing problems using a variety of engineering tools and resources Other duties as assigned Requirements and Qualifications: BS degree in Mechanical Engineering, Mechatronics Engineering or equivalent experience 1 - 2 years of practical hands-on engineering experience via prior work experience Thrive in a highly collaborative environment where everyone has something to learn from everyone else. Ability to read and analyze technical prints. Aptitude for hands-on application of engineering skills. Must be able to lift 25 lbs. Must be able to stand for several hours. Self-starter and ability to work under minimal supervision Able to manage time and be flexible with quick paced projects Preferred Qualifications: Experience in laser processing or high-volume manufacturing Experience in project estimating and project time management ISO 9001/ISO 13485 experience preferred but not required FileMaker Database experience Familiarity with G-Code

Manufacturing Engineer - Lingrove Employment Type: Full-Time, Onsite Annual Salary Range: $100,000 - $125,000 Join Lingrove At Lingrove we're revolutionizing the built environment with our eco-friendly, high-performance interior product line, ekoa . As trailblazers who strive to make the world better, we harness crazy strong flax to make ekoa for natural wall protection and millwork applications. Flax is rapidly renewable and is as durable as it is healthy. ekoa blends performance, style, and Red-List-free ingredients-for great design that's good for people and the planet. Are you ready to make a lasting impact? About the Role As a Manufacturing Engineer, you will lead manufacturing process development, optimize existing operations and commission equipment for new product lines. Lingrove is seeking a strong leader who will complement our R&D and engineering teams to manufacture innovative products that customers want to buy. You will work with the executive team to set a roadmap, determine and acquire the appropriate technological resources and team, and execute with precision to the highest level of manufacturing quality. A successful candidate will have a unique combination of continuous manufacturing industry experience (broad/deep technology expertise within both researching and manufacturing composites or hard goods) while being inventive, comfortable working in ambiguous environments, and adept at leading a team and other key audiences. You must be independent and flexible, able to multitask/meet deadlines, and demonstrate strong consultative leadership. Key Responsibilities - Foster a safety-first environment through collaboration with the manufacturing team - Understand the equipment and monitor performance; ensure all maintenance completed to schedule - Establish, implement, and maintain comprehensive Standard Operating Procedures (SOPs) for in-house and third-party manufacturing operations, ensuring alignment with quality standards and compliance - Enable production through manufacturing equipment maintenance and protective measures - Develop and utilize Process Failure Mode and Effects Analysis (PFMEA) to assess risk, prioritize and track initiatives that ensure equipment, process and product robustness - Identify, root cause, and implement solutions for production and process issues to maximize throughput and yield - Improve margins via production efficiencies and value engineering - Adopt manufacturing processes that support product development and versioning - Manage production process development with R&D team and 3rd parties - Monitor and report production and quality risks - Optimize manufacturing processes and quality systems to improve yield - Spec and commission new equipment to meet requirements - Ensure conformance of production testing is completed to schedule - Lead research and planning for future production scale up - Commitment to continuous improvement to comply with ISO 9001:2000 Qualifications Requirements Skills & Experience - Bachelor's Degree - 5+ years high volume manufacturing experience, preferably in composites/thermoplastics with continuous/roll-to-roll processing operations - Industry expertise in researching, developing and manufacturing products in composites, consumer durables (includes wall covering, flooring, and furniture) and/or auto industry; experience bringing new solutions to market - Experience leading capital projects with strong manufacturing equipment aptitude - Data driven and process oriented with a focus on developing creative solutions - Strong project reporting skills, with a focus on interdepartmental communication - Proven success in project coordination and delivery; on time and on budget - Adept at use of project management and communication tools Soft Skills - Excellent written and oral communication skills - Highly professional/resourceful with a proactive and energetic attitude - Demonstrates a hands-on approach, is comfortable with ambiguity, and is adept at balancing priorities - Effectively communicate complex concepts to non-technical stakeholders - This job description does not cover or contain a comprehensive listing of everything you might do at Lingrove. As a small team, we encourage career growth, exploration, and the wearing of many hats. Roles and responsibilities are collaborative and may change or evolve over time based on our needs and your particular skill set What We Offer - Competitive salary and stock options based on experience - Opportunities for collaboration and mentorship within the company - A supportive team environment that values creativity and innovation - Comprehensive benefits package (health insurance, flex paid time off, 401(k), etc.) How to Apply We are actively seeking passionate and motivated individuals to join our team, even if you don't check every box on the qualifications list. If you possess a strong foundation in the relevant skills required above and a willingness to learn, we encourage you to apply. We value potential and are committed to providing opportunities for growth and development within the role. Please submit your resume along with a portfolio showcasing your graphic design work and writing samples to ***************. We look forward to welcoming you to our growing team! Lingrove is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by law. All employment decisions are made based on merit and business needs. Join us in fostering a diverse workplace where everyone can thrive.

CW will work 5 days onsite at Burlingame ,CA This role is similar to "Lab Engineer" role Candidate Roles and Responsibilities: As part of the clients Reality Lab organization, you will be responsible for building high performing systems and systems integrations which are production ready for an enterprise level source to commit platform. In this role the qualified candidate, will be responsible for the engineering lab spaces and be a hands on, skilled technician capable of supporting the engineering team with work on different HW devices. Technical Skills required: - BS or Tech diploma in engineering (Electrical or Mechanical emphasis) - 5+ years' experience in lab setup, management and improvement - 5+ years of hands-on lab technician experience - Working experience with embedded HW is a must - Experience with Linux - CLI is a must - Use engineering test setup, data collection, and running tests according to documentation - Participation in internal testing throughout product development - Support hardware and software computer setup as related to lab equipment and testing - Act as the primary point of contact for troubleshooting complex technical issues within the lab Education: BS or Tech diploma in engineering (Electrical or Mechanical emphasis)

Requisition ID # 158936 Job Category: Engineering / Science Job Level: Individual Contributor Business Unit: Electric Engineering Work Type: Hybrid The Electric Engineering team ensures the delivery of safe and reliable electric service to our customers. Electric Engineering is responsible for PG&E's electric distribution and transmission operations, including planning, engineering, maintenance and construction, asset management, business planning, restoration, and emergency response. Position Summary This position is represented by Engineers & Scientists of California (ESC), subject to collective bargaining. This is a journey-level project engineer job that requires mastery of the Associate level engineer skills and duties and is responsible for leading the engineering and design of more complex projects. Uses independent judgment in applying engineering principles, working with minimal supervision. Works with engineers, project managers, construction personnel, and other business partners in assessing project needs. Responsibilities beyond those of associate Project engineer include, but are not limited to, the following: Develop technical studies and reports, and provide guidance to contractors and outside vendors. This position is hybrid, working from your remote office and your assigned work location based on business need. The assigned work location will be within the PG&E Service Territory PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, collective bargaining agreements, and internal equity. The annual salary range is: CA Minimum, $110,964 CA Maximum, $168,756 Job Responsibilities Demonstrates knowledge and abilities required for the Associate level Engineer and in addition: Presents findings to internal organizations, contractors and outside vendors. Provides technical expertise and performs engineering analyses, studies, and develops conceptual designs. Assists in root cause analysis. Develops, evaluates, and recommends alternative project proposals. Conducts walkdowns and design review meetings. Participates in the development of effective restoration plans. Prepares written technical documents such as design criteria, specifications, and reports. Solicits, prepares, and evaluates contracts and proposals from engineering consultants. Reviews consultant contracts for technical compliance. Interprets and applies applicable codes and regulations. Provides guidance to design and contractor team members, and reviews design and technical documents. Provides technical expertise and performs engineering analyses, studies, and develops conceptual designs. Approves reports, new drawings, and revisions to existing drawings for projects. In emergencies, promptly responds to facility failures. Represents PG&E to government bodies as required for assigned projects. Responds, in emergencies, to facility failures. Reviews consultant contracts for technical compliance. Solicits, prepares, and evaluates contracts and proposals from engineering consultants. Resolves problems of moderate scope, typically requiring standard solutions. Assignments typically require standard solutions. Under general direction, independently plans work to meet assigned objectives; progress is reviewed periodically for technical accuracy and adequacy in process and upon completion. External contacts are primarily coordinating with contractors and vendors. Internal contacts are with clients and project team members. May guide the work of less experienced team members. Exchanges information with others outside the team. May partner to solve problems or explore alternative solutions. Capable of coordinating with project team and has basic understanding of the roles and responsibilities of project managers. Able to work with limited supervision and guidance to meet project commitments. Able to work with internal and external customers and suppliers. Able to understand and implement the technical requirements of interfacing engineering disciplines. Demonstrates informed judgment when making decisions and recommendations. Uses judgment in applying engineering principles and techniques to determine cost effective and practical solutions. Ability to manage and complete several projects concurrently, depending on scope and complexity. Interprets applicable codes, industry standards and regulations and educates others. Can provide thorough analysis of issues and justification of recommendations. Takes ownership of problems and their solutions. Qualifications Minimum: BS Degree in Electrical Engineering or a related technical discipline from an accredited curriculum in the US or the equivalent from outside the US 3 years of cumulative experience in engineering and design Desired: Experience in substation engineering and design California PE license #featuredjob

Data Engineering Internship - Talent Skull Are you ready to gain real-world experience in data engineering while working alongside professionals from around the world? Talent Skull, a leading HR consultancy specializing in talent acquisition and development, is offering an exciting Data Engineering Internship opportunity! If you are passionate about working with large datasets, optimizing data pipelines, and building scalable data architectures, this internship will provide you with hands-on experience in data engineering projects. About the Role As a Data Engineering Intern, you will collaborate with experienced data engineers to design, build, and maintain data infrastructure and pipelines that enable efficient data processing and analysis. This role will give you exposure to cutting-edge tools and technologies while helping you build a strong foundation in data engineering practices. Key Responsibilities Assist in designing, building, and maintaining scalable data pipelines to process large volumes of data. Work with databases, data warehouses, and data lakes to structure and store data effectively. Clean, transform, and preprocess raw data to ensure it is ready for analysis. Collaborate with data scientists and analysts to understand data needs and support their work with data infrastructure. Implement data quality checks to ensure the integrity and accuracy of data. Assist in optimizing existing data workflows to improve efficiency and performance. Work with cloud platforms like AWS, Google Cloud, or Azure to manage data storage and processing. Support the automation of data collection and processing tasks. Conduct research on the latest data engineering tools and technologies and suggest improvements. Required Skills & Qualifications Currently pursuing or recently completed a degree in Computer Science, Engineering, Data Science, or a related field. Strong proficiency in SQL and Python for data manipulation and pipeline development. Familiarity with cloud platforms like AWS, Google Cloud, or Microsoft Azure. Experience with data storage solutions such as relational databases, NoSQL databases, and data lakes. Knowledge of big data technologies like Hadoop, Spark, or Kafka is a plus. Understanding of ETL (Extract, Transform, Load) processes and tools. Strong problem-solving skills and the ability to troubleshoot complex data issues. Ability to work independently and as part of a collaborative team. Excellent communication skills to collaborate with cross-functional teams. Perks & Benefits Real-world exposure to global data engineering projects and tools. Mentorship and hands-on guidance from experienced data engineers. Certificate of completion at the end of the internship based on your overall performance Hands-on experience with industry-standard data engineering platforms. Opportunity to network with professionals in the data engineering field. High-performing interns may receive a full-time job offer. Internship Details Duration: 3-6 months Location: Remote Start Date: Immediate openings available

About Us At Arbor, we're not just building tools-we're reshaping the future of the home improvement and building materials industry. Our mission is to revolutionize how businesses operate by automating complex processes, optimizing supply chains, and building a resilient, intelligent marketplace powered by advanced large language models (LLMs) and machine learning. If you're passionate about pushing AI boundaries, creating transformative applications, and seeing the direct impact of your work, we'd love for you to join our innovative team. What You'll Do As a Generative AI Engineer, you'll play a critical role in advancing our AI capabilities. You'll design, develop, and deploy applications powered by state-of-the-art LLMs that enhance every aspect of our platform, from demand forecasting to intelligent customer support and product recommendations. Key Responsibilities Develop AI-Driven Applications: Lead the development of generative AI applications using LLMs, directly impacting key areas like demand forecasting, product recommendations, and real-time customer support. Experiment and Innovate: Explore new LLM architectures and techniques to enhance application performance and adaptability. This includes prompt engineering, model fine-tuning, and incorporating external data to improve prediction accuracy. Collaborate with Cross-Functional Teams: Partner closely with product, design, and operations teams to turn business goals into AI-powered solutions that make a measurable difference in user experience and operational efficiency. Optimize for Scale and Performance: Leverage advanced optimization and machine learning techniques to build solutions that are efficient, scalable, and cost-effective while maintaining top-tier performance standards. Champion AI Best Practices: Establish best practices in AI model development, deployment, and documentation to ensure quality and reproducibility as we scale our engineering team. Who You Are AI Visionary: You're passionate about the potential of AI and excited to lead the charge in generative technology that will shape the future of housing and construction. Experienced with LLMs: You bring extensive experience working with large language models (e.g., GPT-4, BERT) and generative AI applications, with a track record of deploying and optimizing LLM-based systems. Problem-Solver: You thrive in a startup environment and are adept at tackling complex, ambiguous challenges with a solutions-first mindset. Data-Driven and Analytical: Skilled at working with large datasets, you experiment with model architectures and measure outcomes to drive continuous improvement. Collaborative Team Player: You communicate technical concepts effectively across disciplines and enjoy working in a dynamic, cross-functional environment. Preferred Qualifications 4+ years of experience in machine learning or AI, with a focus on generative AI or natural language processing. Technical Proficiency: Advanced skills in Python and ML frameworks like PyTorch, TensorFlow, and Hugging Face Transformers. Production Experience: Hands-on experience deploying and optimizing ML models in production. ML Ops & Cloud Proficiency: Familiarity with ML Ops practices and cloud services (AWS, GCP, Azure). Why Join Arbor? Impactful Work: Be part of a mission to revolutionize the construction and home improvement industries through pioneering AI solutions. Your work will shape the future of housing and make a tangible impact on people's lives. Unmatched Opportunity: Join at a pivotal stage of growth in a trillion-dollar industry with vast, untapped potential. Here, you'll have the freedom to innovate and contribute to industry-defining solutions. Growth and Development: We are committed to investing in our team's professional development and growth. You'll have ample opportunities to lead, innovate, and grow as we scale. Dynamic Culture: Work in a fast-paced, agile environment where creativity, efficiency, and collaboration are celebrated. Competitive Package: We offer a competitive salary, equity options, flexible working hours, and comprehensive benefits.