manufacturing engineer (all levels) Jobs in Los Angeles

manufacturing engineer (all levels)

sr. ai engineer

ai engineer

Rula

<div><p>We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms.</p><p>
We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of one's overall well-being.</p><p>
We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare.</p><p>
Rula is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii.</p><p><b>
About the Role</b></p><p>
We&rsquo;re hiring a Sr. AI Engineer to help bring AI into the core of how Rula builds better mental healthcare experiences. You&rsquo;ll work closely with product, design, operations, and engineering to ship AI-powered features that solve real problems for patients, providers, and internal teams. Day to day, you&rsquo;ll move between prototyping, building production systems, improving quality, and learning quickly from real-world usage. This is an exciting role for someone who wants to work on meaningful problems, ship fast with care, and have a direct hand in shaping how AI shows up across a growing company.</p><p></p><p><b>
Required Qualifications</b></p><ul><li><p>
5+ years of AI/ML development (AI solution design, model design, training / finetuning, deployment and quality upkeep), with track record of product success (i.e. not just in an academic or research environment)</p></li><li><p>
3+ years of deep experience in Python and 1+ years with at least one backend language (preferably JavaScript, TypeScript, Java, or Go)</p></li><li><p>
Hands-on experience with foundation models (OpenAI, Anthropic, Bedrock, Gemini, etc.)</p></li><li><p>
Experience designing evaluation pipelines for human alignment, factual accuracy, or model interpretability.</p></li><li><p>
Strong expertise in LLM integration patterns (RAG, tool/function calling, agents, memory routing, etc.), AI orchestration frameworks (eg. LangChain, LlamaIndex, DSPy, Haystack), and vector databases (eg. Pinecone, Weaviate, FAISS, Milvus).</p></li><li><p>
Deep understanding of AIOps, data pipelines, evaluation, and observability systems for continuous model improvement.</p></li><li><p>
Strong and effective communication skills.</p></li><li><p>
Bachelor&rsquo;s degree or above in Machine Learning, or related field.</p></li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li><p>
3+ years of experience with public cloud (AWS, GCP, etc.), 1+ years designing and scaling distributed systems.</p></li><li><p>
Experience delivering secure and compliant AI solutions in regulated environments (HIPAA, GDPR, etc.)</p></li><li><p>
Familiarity with human-in-the-loop systems and clinical decision support frameworks.</p></li><li><p>
Contributions to open-source AI frameworks or applied research in NLP, healthcare AI, or GenAI safety.</p></li><li><p>
Experience working in a highly regulated industry such as finance or healthcare</p></li><li><p>
Experience contributing to early-stage team growth (0 1)</p></li></ul><p><b>
We're serious about your well-being! As part of our team, full-time employees receive:</b></p><ul><li><p><b>
100% remote work environment: </b>Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments (must be based in United States, currently not hiring in Hawaii)</p></li><li><p><b>
Attractive pay and benefits</b>: Full transparency of pay ranges regardless of where you live in the United States</p></li><li><p><b>
Comprehensive health benefits</b>: Medical, dental, vision, life, disability, and FSA/HSA</p></li><li><p><b>
401(k) plan access</b>: Start saving for your future</p></li><li><p><b>
Generous time-off policies</b>: Including 2 company-wide shutdown weeks each year for self-care (for most employees)</p></li><li><p><b>
Paid parental leave</b>: Available for all parents, including birthing, non-birthing, adopting, and fostering</p></li><li><p><b>
Employee Assistance Program (EAP)</b>: Support for your mental and physical health</p></li><li><p><b>
New hire home office stipend</b>: Set up your workspace for success</p></li><li><p><b>
Quarterly department stipend</b>: Fund team-building activities or in-person gatherings</p></li><li><p><b>
Wellness events and lunch &amp; learns</b>: Explore a variety of engaging topics</p></li><li><p><b>
Community and employee resource groups</b>: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all</p></li></ul><p><b>
Our team</b></p><p>
We believe that diversity, equity, and inclusion are fundamental to our mission of making mental healthcare work for everyone. We are dedicated to having a culture of inclusion that will support our employees in feeling safe, seen, heard, and valued.</p><p>
Compensation Range: $172,550 - $203,000</p></div>

Sr. AI Engineer

<div><p>We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms.</p><p>
We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of one's overall well-being.</p><p>
We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare.</p><p>
Rula is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii.</p><p><b>
About the Role</b></p><p>
We&rsquo;re hiring a Staff AI Engineer to lead some of Rula&rsquo;s most important applied AI investments as we scale. You&rsquo;ll own technical direction for high-impact AI products, work across teams to turn big ideas into shipped systems, and help raise the bar for how we build, evaluate, and operate AI in production. This role sits at the center of product innovation and engineering execution, with the chance to influence both what we build and how we build it. It&rsquo;s a strong fit for someone who loves operating in fast-moving environments, wants to drive outsized impact, and is excited to help define the future of AI at Rula.</p><p><b>
Required Qualifications</b></p><ul><li><p>
8+ years of AI/ML development (AI solution design, model design, training / finetuning, deployment and quality upkeep), with track record of product success (i.e. not just in an academic or research environment)</p></li><li><p>
5+ years of deep experience in Python and 2+ years with at least one backend language (preferably JavaScript, TypeScript, Java, or Go)</p></li><li><p>
Hands-on experience with foundation models (OpenAI, Anthropic, Bedrock, Gemini, etc.)</p></li><li><p>
Experience designing evaluation pipelines for human alignment, factual accuracy, or model interpretability.</p></li><li><p>
Strong expertise in LLM integration patterns (RAG, tool/function calling, agents, memory routing, etc.), AI orchestration frameworks (eg. LangChain, LlamaIndex, DSPy, Haystack), and vector databases (eg. Pinecone, Weaviate, FAISS, Milvus).</p></li><li><p>
Deep understanding of AIOps, data pipelines, evaluation, and observability systems for continuous model improvement.</p></li><li><p>
Strong and effective communication skills.</p></li><li><p>
Bachelor&rsquo;s degree or above in Machine Learning, or related field.</p></li></ul><p><b>
Preferred Qualifications</b></p><ul><li><p>
5+ years of experience with public cloud (AWS, GCP, etc.), 2+ years designing and scaling distributed systems.</p></li><li><p>
Experience delivering secure and compliant AI solutions in regulated environments (HIPAA, GDPR, etc.)</p></li><li><p>
Familiarity with human-in-the-loop systems and clinical decision support frameworks.</p></li><li><p>
Contributions to open-source AI frameworks or applied research in NLP, healthcare AI, or GenAI safety.</p></li><li><p>
Experience working in a highly regulated industry such as finance or healthcare</p></li><li><p>
Experience contributing to early-stage team growth (0 1)</p></li></ul><p><b>
We're serious about your well-being! As part of our team, full-time employees receive:</b></p><ul><li><p><b>
100% remote work environment: </b>Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments (must be based in United States, currently not hiring in Hawaii)</p></li><li><p><b>
Attractive pay and benefits</b>: Full transparency of pay ranges regardless of where you live in the United States</p></li><li><p><b>
Comprehensive health benefits</b>: Medical, dental, vision, life, disability, and FSA/HSA</p></li><li><p><b>
401(k) plan access</b>: Start saving for your future</p></li><li><p><b>
Generous time-off policies</b>: Including 2 company-wide shutdown weeks each year for self-care (for most employees)</p></li><li><p><b>
Paid parental leave</b>: Available for all parents, including birthing, non-birthing, adopting, and fostering</p></li><li><p><b>
Employee Assistance Program (EAP)</b>: Support for your mental and physical health</p></li><li><p><b>
New hire home office stipend</b>: Set up your workspace for success</p></li><li><p><b>
Quarterly department stipend</b>: Fund team-building activities or in-person gatherings</p></li><li><p><b>
Wellness events and lunch &amp; learns</b>: Explore a variety of engaging topics</p></li><li><p><b>
Community and employee resource groups</b>: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all</p></li></ul><p><b>
Our team</b></p><p>
We believe that diversity, equity, and inclusion are fundamental to our mission of making mental healthcare work for everyone. We are dedicated to having a culture of inclusion that will support our employees in feeling safe, seen, heard, and valued.</p><p>
Compensation Range: $206,550 - $243,000</p></div>

Staff AI Engineer - Applied AI (Remote)

Fox Corporation

<div><div><b>OVERVIEW OF THE COMPANY</b></div><div></div><h2 class="jobSectionHeader"><b>
JOB DESCRIPTION</b></h2><div>
As a Senior Software Engineer, you will play a pivotal role in building next-generation AI-driven applications, services, and tools that transform how ad sales operates. You will leverage your experience in AI/ML and data systems to develop intelligent workflows that unlock new revenue opportunities and optimize business outcomes.</div><div></div><div>
You will work across a modern, distributed ecosystem&mdash;designing orchestration layers that connect system-of-record data with AI/ML models, microservices, and custom applications. This includes building agent-driven workflows, retrieval systems, and scalable services that power decisioning, automation, and insight generation across the ad sales lifecycle.</div><div></div><div>
Your expertise in multi-cloud environments such as AWS, GCP, and Databricks will be critical as we build a flexible, extensible platform that enables rapid innovation and measurable business impact.</div><div></div><div><b>
WHY JOIN US?</b></div><ul><li><div>
Innovative Environment: Build AI-powered systems that directly impact revenue and business performance.</div></li><li><div>
Collaborative Culture: Partner with product, data, and business teams to shape next-gen workflows.</div></li><li><div>
Career Growth: Work on high-visibility initiatives with strong ownership and advancement opportunities.</div></li><li><div>
Impactful Work: Help redefine how data and AI drive decision-making in a core business function.</div></li></ul><div></div><div><b>
ABOUT YOU</b></div><ul><li><div>
Balanced Skill Set: Able to navigate complex systems and trade-offs across engineering, data, and business contexts.</div></li><li><div>
Strong Communicator: Clearly articulate technical concepts and influence cross-functional stakeholders.</div></li><li><div>
Business-Oriented: Passionate about translating business problems into scalable technical solutions.</div></li><li><div>
Curious Builder: Energized by emerging AI capabilities and applying them to real-world workflows.</div></li></ul><div></div><div><b>
A SNAPSHOT OF YOUR RESPONSIBILITIES</b></div><ul><li><div>
Design and implement scalable AI/ML-driven applications that support core ad sales workflows.</div></li><li><div>
Build intelligent orchestration layers that integrate data systems, models, and services.</div></li><li><div>
Develop agent-based and retrieval-driven systems to power automation and decision support.</div></li><li><div>
Prototype new approaches and productionize solutions that drive measurable business impact.</div></li><li><div>
Collaborate closely with product, data, and business stakeholders to define and deliver solutions.</div></li><li><div>
Maintain high engineering standards while operating in a fast-paced, iterative environment.</div></li><li><div>
Mentor and support other engineers on the team.</div></li></ul><div></div><div><b>
WHAT YOU WILL NEED</b></div><ul><li><div>
Experience in Software Engineering, Data Science, or ML Engineering.</div></li><li><div>
Strong understanding of distributed systems and scalable architecture.</div></li><li><div>
Experience building data-driven applications leveraging AI/ML models.</div></li><li><div>
Familiarity with modern AI techniques, including LLMs and retrieval-based systems.</div></li><li><div>
Experience designing APIs (REST or GraphQL) and microservices.</div></li><li><div>
Proficiency in building batch and streaming data pipelines on cloud platforms.</div></li><li><div>
Experience working in cloud environments such as AWS, GCP, or Databricks.</div></li><li><div>
Ability to work efficiently and deliver in a fast-paced, product-driven environment.</div></li><li><div>
Regular, on-site attendance at the workplace a minimum of 3 days per week is an essential function of the position. Selected candidate must be able to reliably meet this requirement.</div></li></ul><div></div><div><b>
NICE TO HAVE, BUT NOT A DEALBREAKER</b></div><ul><li><div>
Experience with agent orchestration frameworks or workflow engines.</div></li><li><div>
Background in ad tech, sales systems, or revenue optimization platforms.</div></li><li><div>
Familiarity with vector databases and retrieval systems.</div></li><li><div>
Experience building internal platforms or decisioning systems for business teams.</div></li><li><div>
Proficiency in Python, Java, or similar languages.</div></li><li><div>
Experience with CI/CD and infrastructure-as-code.</div></li></ul><div></div><div>
If you're excited about applying AI to transform business workflows and drive real revenue impact, we&rsquo;d love to hear from you.</div><div></div><div>
#Ll-Hybrid</div><div>
#Ll-KD1</div><div></div><div>
Learn more about Fox Tech at <div>https://tech.fox.com</div></div>
#foxtech<div></div><div><i>
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.</i></div><div></div>
Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $143,000.00-186,000.00 annually. This role is also eligible for an annual discretionary bonus, various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.<div></div><div><div>
View more detail about FOX Benefits.</div></div></div>

Senior Software Engineer, Data Products

<div><div><b>OVERVIEW OF THE COMPANY</b></div><div></div><h2 class="jobSectionHeader"><b>
JOB DESCRIPTION</b></h2><div>
As a Software Engineer, you will help build an intelligent execution layer that redefines how ad sales operates. This is not a traditional application role. You will develop systems that sit above core platforms, using AI, ML, and data to drive smarter decisions, automation, and measurable revenue lift.</div><div></div><div>
You will work on a greenfield problem space, designing how agents, models, and services interact to power workflows across planning, optimization, and activation. This includes building abstraction layers on top of system-of-record data and enabling flexible, AI-driven applications that evolve with the business.</div><div></div><div>
You will operate in a distributed, multi-cloud environment including AWS, GCP, and Databricks, contributing to systems that are both experimental and production-critical.</div><div></div><div><b>
A SNAPSHOT OF YOUR RESPONSIBILITIES</b></div><ul><li><div>
Build intelligent systems that connect data, models, and services into cohesive workflows.</div></li><li><div>
Develop orchestration layers that enable agent-driven automation and decisioning.</div></li><li><div>
Design APIs and services that expose data and intelligence in flexible, reusable ways.</div></li><li><div>
Rapidly prototype new ideas and translate them into production-grade systems.</div></li><li><div>
Work closely with product and business partners to identify high-leverage opportunities.</div></li><li><div>
Continuously improve system performance, scalability, and adaptability.</div></li></ul><div></div><div><b>
WHAT YOU WILL NEED</b></div><ul><li><div>
Strong foundation in software engineering and distributed system design.</div></li><li><div>
Experience building data-driven or ML-powered applications in production environments.</div></li><li><div>
Familiarity with modern AI systems, including LLMs and retrieval-based architectures.</div></li><li><div>
Experience designing APIs and working within service-oriented or microservices architectures.</div></li><li><div>
Comfort working with cloud infrastructure such as AWS, GCP, or Databricks and data pipelines.</div></li><li><div>
Ability to move between ambiguity and execution, building with both speed and intent.</div></li><li><div>
Regular, on-site attendance at the workplace a minimum of 3 days per week is an essential function of the position. Selected candidate must be able to reliably meet this requirement.</div></li></ul><div></div><div><b>
NICE TO HAVE, BUT NOT A DEALBREAKER</b></div><ul><li><div>
Experience with agent orchestration or workflow frameworks.</div></li><li><div>
Familiarity with vector databases and retrieval systems.</div></li><li><div>
Exposure to decisioning systems, optimization problems, or revenue-focused platforms.</div></li><li><div>
Proficiency in Python, Java, or similar languages.</div></li><li><div>
Experience with CI/CD and infrastructure-as-code.</div></li></ul><div></div><div><b>
ABOUT YOU</b></div><ul><li><div>
You think in systems, not just features.</div></li><li><div>
You are motivated by impact, not just implementation.</div></li><li><div>
You can navigate ambiguity and help define the right solution, not just build it.</div></li><li><div>
You communicate clearly and work effectively across engineering, product, and business.</div></li><li><div>
You are curious about how AI can fundamentally change how work gets done.</div></li></ul><div></div><div><b>
WHY JOIN US?</b></div><ul><li><div>
Own high-leverage problems with direct revenue impact.</div></li><li><div>
Build in a greenfield space with modern AI and ML tooling.</div></li><li><div>
Work on systems that will define how the business operates going forward.</div></li><li><div>
Collaborate with a team that values speed, clarity, and technical rigor.</div></li></ul><div></div><div>
If you want to build systems that do not just support the business but reshape it, we would love to talk.</div><div></div><div>
#Ll-KD1</div><div>
#Ll-Hybrid</div><div></div><div>
Learn more about Fox Tech at <div>https://tech.fox.com</div></div>
#foxtech<div></div><div><i>
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.</i></div><div></div>
Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $92,000.00-140,000.00 annually. This role is also eligible for an annual discretionary bonus, various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.<div></div><div><div>
View more detail about FOX Benefits.</div></div></div>

Software Engineer, Data Products

Parallel

<div>
 <p>
  Parallel Systems is pioneering autonomous battery-electric rail vehicles designed to transform freight transportation by shifting portions of the $900 billion U.S. trucking industry onto rail. Our innovative technology offers cleaner, safer, and more efficient logistics solutions. Join our dynamic team and help shape a smarter, greener future for global freight.
 </p>
 <p>
  <strong>
   <span>
    Machine Learning / Computer Vision Engineer
   </span>
  </strong>
  &nbsp;
  <br/>
  <span>
   Perception Systems
  </span>
  <span>
   &nbsp;
  </span>
 </p>
 <p>
  <span>
   Parallel Systems is building autonomous, battery-electric rail vehicles designed to transform freight transportation by shifting portions of the $900B trucking industry onto rail. Our vehicles&nbsp;operate&nbsp;on active rail networks and must perceive and reason&nbsp;about&nbsp;complex real-world environments with extremely high reliability.
  </span>
  <span>
   &nbsp;
  </span>
 </p>
 <p>
  <span>
   We are looking for an early-career Machine Learning / Computer Vision Engineer to help develop the perception systems that power our autonomous platform. You will work on real-world computer vision problems involving multi-sensor data, large-scale datasets, and real-time inference constraints.
  </span>
  <span>
   &nbsp;
  </span>
 </p>
 <p>
  <span>
   This role is ideal for engineers who have strong foundations in machine learning and computer vision and who have already built meaningful ML systems through research, internships, or early industry experience. You will work closely with experienced engineers across autonomy, robotics, and systems to design and deploy&nbsp;perception&nbsp;models that&nbsp;operate&nbsp;on real vehicles.
  </span>
  <span>
   &nbsp;
  </span>
 </p>
 <p>
  <strong>
   <span>
    What&nbsp;You&rsquo;ll&nbsp;Work On
   </span>
  </strong>
  <span>
   &nbsp;
  </span>
 </p>
 <ul>
  <li>
   <span>
    Training and improving deep learning models for&nbsp;perception&nbsp;tasks including detection, segmentation, tracking, and scene understanding
   </span>
   <span>
    &nbsp;
   </span>
  </li>
  <li>
   <span>
    Developing scalable training pipelines for large&nbsp;perception&nbsp;datasets
   </span>
   <span>
    &nbsp;
   </span>
  </li>
  <li>
   <span>
    Working with multimodal sensor data including cameras, lidar, and radar
   </span>
   <span>
    &nbsp;
   </span>
  </li>
  <li>
   <span>
    Evaluating and adapting&nbsp;state-of-the-art&nbsp;research for real-world deployment
   </span>
   <span>
    &nbsp;
   </span>
  </li>
  <li>
   <span>
    Improving inference performance and model reliability under real-world conditions
   </span>
   <span>
    &nbsp;
   </span>
  </li>
  <li>
   <span>
    Supporting deployment of&nbsp;perception&nbsp;models to edge compute systems on autonomous vehicles
   </span>
   <span>
    &nbsp;
   </span>
  </li>
 </ul>
 <p>
  <strong>
   <span>
    What Success Looks Like
   </span>
  </strong>
  <span>
   &nbsp;
  </span>
 </p>
 <ul>
  <li>
   <strong>
    <strong>
     <span>
      After 30 Days
     </span>
    </strong>
   </strong>
   <span>
    : You understand the fundamentals of Parallel&rsquo;s perception stack, datasets, and model training workflows.&nbsp;You are contributing to model training experiments and supporting improvements to the ML pipeline.
   </span>
   <span>
    &nbsp;
   </span>
  </li>
  <li>
   <strong>
    <strong>
     <span>
      After 60 Days:&nbsp;
     </span>
    </strong>
   </strong>
   <span>
    You are independently training and evaluating models for a defined&nbsp;perception&nbsp;task and contributing improvements to model performance or data workflows.
   </span>
   <span>
    &nbsp;
   </span>
  </li>
  <li>
   <strong>
    <strong>
     <span>
      After 90 Days:&nbsp;
     </span>
    </strong>
   </strong>
   <span>
    You have contributed a measurable improvement to an existing&nbsp;perception&nbsp;model or training pipeline and are actively supporting deployment and testing efforts.
   </span>
   <span>
    &nbsp;
   </span>
  </li>
 </ul>
 <p>
  <strong>
   <span>
    Basic Qualifications
   </span>
  </strong>
  <span>
   &nbsp;
  </span>
 </p>
 <ul>
  <li>
   <span>
    Bachelor&rsquo;s or&nbsp;Master&rsquo;s degree in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a closely related technical field
   </span>
   <span>
    &nbsp;
   </span>
  </li>
  <li>
   <span>
    1 to 2 years of experience building machine learning systems&nbsp;
   </span>
   <strong>
    <span>
     or
    </span>
   </strong>
   <span>
    &nbsp;exceptional new graduates with strong internships or research experience
   </span>
   <span>
    &nbsp;
   </span>
  </li>
  <li>
   <span>
    Experience developing machine learning models using&nbsp;PyTorch&nbsp;or TensorFlow
   </span>
   <span>
    &nbsp;
   </span>
  </li>
  <li>
   <span>
    Strong programming ability in Python
   </span>
   <span>
    &nbsp;
   </span>
  </li>
  <li>
   <span>
    Solid mathematical foundation in linear algebra, probability, and optimization
   </span>
   <span>
    &nbsp;
   </span>
  </li>
  <li>
   <span>
    Experience working with real-world datasets in computer vision, robotics, or machine learning
   </span>
   <span>
    &nbsp;
   </span>
  </li>
 </ul>
 <p>
  <strong>
   <span>
    Preferred Qualifications
   </span>
  </strong>
  <span>
   &nbsp;
  </span>
 </p>
 <ul>
  <li>
   <span>
    Internship experience at leading technology, robotics, autonomy, or AI companies
   </span>
   <span>
    &nbsp;
   </span>
  </li>
  <li>
   <span>
    Research experience in machine learning, computer vision, or robotics labs
   </span>
   <span>
    &nbsp;
   </span>
  </li>
  <li>
   <span>
    Experience with perception tasks such as object detection, segmentation, tracking, or 3D vision
   </span>
   <span>
    &nbsp;
   </span>
  </li>
  <li>
   <span>
    Experience working with image, video, lidar, or radar datasets
   </span>
   <span>
    &nbsp;
   </span>
  </li>
  <li>
   <span>
    Familiarity with training pipelines, dataset tooling, and model evaluation
   </span>
   <span>
    &nbsp;
   </span>
  </li>
  <li>
   <span>
    Experience with C++, CUDA, or GPU optimization
   </span>
   <span>
    &nbsp;
   </span>
  </li>
  <li>
   <span>
    Publications or academic research in ML/CV venues such as CVPR, ICCV, ECCV,&nbsp;NeurIPS, or ICML
   </span>
   <span>
    &nbsp;
   </span>
  </li>
 </ul>
 <p>
  <strong>
   <span>
    What Makes This Role Unique
   </span>
  </strong>
  <span>
   &nbsp;
  </span>
 </p>
 <ul>
  <li>
   <span>
    Work on real autonomous systems&nbsp;operating&nbsp;in the physical world
   </span>
   <span>
    &nbsp;
   </span>
  </li>
  <li>
   <span>
    Build&nbsp;perception&nbsp;systems that must perform reliably in safety-critical environments
   </span>
   <span>
    &nbsp;
   </span>
  </li>
  <li>
   <span>
    Collaborate with engineers across autonomy, robotics, and systems engineering
   </span>
   <span>
    &nbsp;
   </span>
  </li>
  <li>
   <span>
    Contribute directly to a new class of autonomous transportation platform
   </span>
   <span>
    &nbsp;
   </span>
  </li>
 </ul>
 <p>
  We are committed to providing fair and transparent compensation in accordance with applicable laws. Salary ranges are listed below and reflect the expected range for new hires in this role, based on factors such as skills, experience, qualifications, and location. Final compensation may vary and will be determined during the interview process. The target hiring range for this position is listed below.
 </p>
 <p>
  Target Salary Range:: $120,000 USD - $190,000 USD
 </p>
 <p>
  <span>
   <em>
    Parallel Systems is an equal opportunity employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to any discriminatory factor protected by applicable federal, state or local laws. We work to build an inclusive environment in which all people can come to do their best work.
   </em>
  </span>
 </p>
 <p>
  <span>
   <em>
    Parallel Systems is committed to the full inclusion of all qualified individuals. As part of this commitment, Parallel Systems will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact your recruiter.
   </em>
  </span>
 </p>
</div>


Machine Learning/Computer Vision Engineer

Onni Group of Companies

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 The Director of Engineering is responsible for the strategic leadership, operational oversight, and technical performance of all building engineering teams, general maintenance contracts, and infrastructure systems across the Los Angeles portfolio. This role ensures that properties operate efficiently, sustainably, while supporting asset value, tenant satisfaction, and long-term capital planning. This includes Commercial, Residential and Hospitality divisions.
 <br/>
 <br/>
 The position provides leadership to Chief Engineers and building engineering teams, manages vendor relationships, oversees preventative maintenance and capital projects, and partners closely with Property Management, Asset Management, Construction, and Leasing teams.
 <br/>
 <br/>
 <strong>
  Perks &amp; Benefits
  <br/>
  <br/>
 </strong>
 When you feel good, you do good. At Onni we put your health at the forefront and give you the choice to select a benefits package that best represents you. From no cost to $18, $44, or $112 per pay our PPO, HSA, and HMO have you covered. In addition, we offer:
 <br/>
 <br/>
 <ul>
  <li>
   3 weeks PTO
  </li>
  <li>
   Annual education allowance of up to $1,000
  </li>
  <li>
   Referral program
  </li>
  <li>
   Residential housing discount after 1 year of continuous employment
  </li>
  <li>
   Friends and family rates for our Hotel Properties throughout the company
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What Will You do?
  <br/>
  <br/>
 </strong>
 <strong>
  Portfolio Engineering Leadership
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Provide leadership and direction to Chief Engineers, Assistant Engineers, and building engineering staff across the LA Onni portfolio.
  </li>
  <li>
   Establish consistent engineering standards, operating procedures, and best practices across all properties.
  </li>
  <li>
   Mentor and develop engineering staff, including performance management, succession planning, and technical training.
  </li>
  <li>
   Set standards and expectations for team and hold workmanship to a high standard.
  </li>
  <li>
   Potential to travel outside of California as position grows.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Building Operations &amp; Maintenance
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Oversee daily operation, maintenance, and repair of all building systems, including HVAC, electrical, plumbing, life safety, vertical transportation, and building automation systems (BAS).
  </li>
  <li>
   Ensure execution of comprehensive preventative maintenance programs to minimize downtime and extend asset life.
  </li>
  <li>
   Lead emergency response planning and execution, including after-hours incidents and disaster preparedness.
  </li>
  <li>
   Implement AI across all properties and systems to ensure systems are operating as they should and making personal more efficient.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Regulatory Compliance &amp; Risk Management
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ensure compliance with all applicable codes and regulations, including:
  </li>
  <ul>
   <li>
    Los Angeles Department of Building and Safety (LADBS)
   </li>
   <li>
    Fire/Life Safety and OSHA requirements
   </li>
   <li>
    Title 24 energy regulations
   </li>
   <li>
    AQMD and environmental standards
   </li>
  </ul>
  <li>
   Oversee inspections, testing, certifications, and documentation for life safety systems and critical infrastructure.
  </li>
  <li>
   Partner with Risk Management on incident investigations and mitigation strategies.
   <br/>
  </li>
 </ul>
 <strong>
  Capital Planning &amp; Project Oversight
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Involved in design and feedback on new developments and acquisitions.
  </li>
  <li>
   Collaborate with Asset Management and Construction on capital planning, equipment replacement schedules, and long-range engineering strategies.
  </li>
  <li>
   Provide technical due diligence for acquisitions, dispositions, and major lease transactions.
  </li>
  <li>
   Oversee engineering-related capital projects, including scope development, budgeting, scheduling, and contractor oversight.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Vendor &amp; Financial Management
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Manage engineering-related operating budgets and capital expenditures.
  </li>
  <li>
   Negotiate and oversee service contracts (HVAC, fire systems, BAS, etc.).
  </li>
  <li>
   Track expenses, control costs, and identify efficiency opportunities without compromising reliability or safety.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Sustainability &amp; Energy Management
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Support portfolio-wide sustainability initiatives, energy efficiency programs, and ESG goals.
  </li>
  <li>
   Monitor energy and water usage; identify opportunities for optimization and cost savings.
  </li>
  <li>
   Support local benchmarking and reporting requirements (e.g., LA Existing Buildings Energy &amp; Water Efficiency Program).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Tenant &amp; Stakeholder Relations
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with Property Management and Leasing to support tenant build-outs, special operational requirements, and retention efforts.
  </li>
  <li>
   Serve as senior technical escalation point for complex tenant or system issues.
  </li>
  <li>
   Communicate effectively with ownership, senior leadership, and external stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required
  <br/>
  <br/>
 </strong>
 <strong>
  What You Bring:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   10+ years of progressive experience in commercial office building engineering or facilities management, including multi-building portfolio oversight.
  </li>
  <li>
   Demonstrated leadership experience managing engineering teams.
  </li>
  <li>
   Strong working knowledge of HVAC systems, electrical distribution, life safety systems, BAS, and central plant operations.
  </li>
  <li>
   In-depth familiarity with Los Angeles building codes, Title 24, and local regulatory agencies.
  </li>
  <li>
   Posses a valid driver&rsquo;s license with good driving record.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Professional Engineer (PE), Certified Facility Manager (CFM), or similar certification.
  </li>
  <li>
   Experience with Class A office assets and large, mixed-use or institutional portfolios.
  </li>
  <li>
   Experience supporting major capital projects and repositioning initiatives.
  </li>
  <li>
   Familiarity with sustainability programs, energy benchmarking, and ESG reporting.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Working Conditions
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Frequent travel between portfolio assets in the Los Angeles region
  </li>
  <li>
   On-call availability for emergencies and critical building issues
  </li>
  <li>
   Combination of office-based, on-site, and field work
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Salary Range
  <br/>
  <br/>
 </strong>
 $150,000- 160,000
 <br/>
 <br/>
 <strong>
  About The Company
  <br/>
  <br/>
 </strong>
 <strong>
  Onni
  <br/>
  <br/>
 </strong>
 For over half a century, Onni has been building communities for people to live, work, and play. Our success reflects our commitment to our employees and partners, and our dedication to quality construction, innovation, sustainability, and customer satisfaction. Our expertise expands across North America, with offices in Vancouver, Toronto, Los Angeles, Seattle, Phoenix, and Chicago.
 <br/>
 <br/>
 <strong>
  AI Use
  <br/>
  <br/>
 </strong>
 This role may involve the use of artificial intelligence (AI) tools to support research, analysis, content development, design, reporting, or operational efficiency. Employees are expected to use AI responsibly and in compliance with company policies, data privacy requirements, confidentiality obligations, and applicable laws.
 <br/>
 <br/>
 All AI-generated or AI-assisted outputs must be reviewed for accuracy, quality, and appropriateness before use. Employees are also expected to disclose when AI tools have been used in the creation of work and must not present AI-generated content as solely their own original work.
 <br/>
 <br/>
 <strong>
  How To Apply
  <br/>
  <br/>
 </strong>
 <em>
  Please apply through the link on the job posting and attach your resume and any other required documents.
  <br/>
  <br/>
 </em>
 <em>
  We thank all applicants for your interest in the Onni Group. Note that only those applicants under consideration will be contacted.
 </em>
</div>


Director of Engineering and Building Systems

Persistent Systems

<div><div><div><p><b>Job Description
</b></p></div><div><div><div><p><b>
About Persistent</b></p><br>
<p></p>
<p>We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what?s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.</p><br>
<p></p>
<p>Our disruptor?s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 23 sequential quarters of growth with $422.5M in Q3 FY26 revenue, up 4.0% Q-o-Q and 17.3% Y-o-Y growth. Our 26,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We won the 2025 ISG Star of Excellence? Award for AI and Data Excellence and were named a Leader in the Everest Group Talent Readiness for Next-generation Data, Analytics and AI Services PE?<i>?</i> Assessment 2025.</p><br>
<p></p>
<p><b>About Position:</b></p><br>
<p></p>
<p>We are looking for an experienced Databricks Data Engineer with strong DevOps expertise to join our data engineering team. The ideal candidate will design, build, and optimize large-scale pipelines on the Databricks Lakehouse Platform on AWS, while driving automated CI/CD and deployment practices. This role requires strong skills in PySpark, SQL, AWS cloud services, and modern DevOps tooling. You will collaborate closely with cross-functional teams to deliver scalable, secure, and high-performance data solutions.</p><br>
<p></p>
<ul><li><b>Role: Databricks Data Engineer (DevOps)</b></li>
<li><b>Location: Los Angeles CA</b></li>
<li><b>Experience: 8+ Years</b></li>
<li><b>Job Type: Fulltime /Contract</b></li></ul><br>
<p>
</p><p><b>What You'll Do:</b></p><br>
<p></p>
<ul><li>Designing and implementing Databricks-based Lakehouse architectures on AWS</li>
<li>Clear separation of compute vs. serving layers</li>
<li>Ability to design low-latency data/API access strategies (beyond Spark-only patterns)</li>
<li>Strong understanding of caching strategies for performance and cost optimization</li>
<li>Data partitioning, storage optimization, and file layout strategy</li>
<li>Ability to handle multi-terabyte structured or time-series datasets</li>
<li>Skill in requirement probing, identifying what matters architecturally</li>
<li>A player-coach mindset: hands-on engineering + technical leadership</li>
<li>Strong hands-on experience with Databricks, including:</li>
<li>Delta Lake ,Unity Catalog ,Lakehouse Architecture ,Delta Live Pipelines ,Databricks Runtime ,Table Triggers ,Databricks Workflows</li>
<li>Proficiency in PySpark, Spark, and advanced SQL.</li>
<li>Expertise with AWS cloud services, including:S3 ,IAM Glue / Glue Catalog ,Lambda Kinesis (optional but beneficial)Secrets Manager</li>
<li>Strong understanding of DevOps tools:Git / GitLabCI/CD pipelines</li>
<li>Databricks Asset Bundles</li>
<li>Familiarity with Terraform is a plus.</li>
<li>Experience with relational databases and data warehouse concepts.</li></ul><br>
<p>
</p><p><b>Expertise You'll Bring:</b></p><br>
<p></p>
<ul><li>Design, build, and maintain scalable ETL/ELT pipelines using Databricks on AWS.</li>
<li>Develop high-performance data processing workflows using PySpark/Spark and SQL.</li>
<li>Integrate data from Amazon S3, relational databases, and semi/non?structured sources.</li>
<li>Implement Delta Lake best practices including schema evolution, ACID, OPTIMIZE, ZORDER, partitioning, and file-size tuning.</li>
<li>Ensure architectures support high-volume, multi-terabyte workloads</li>
<li><b>DevOps &amp; CI/CD</b></li>
<li>Implement CI/CD pipelines for Databricks using Git, GitLab, GitHub Actions, or AWS-native tools.</li>
<li>Build and manage automated deployments using Databricks Asset Bundles.</li>
<li>Manage version control for notebooks, workflows, libraries, and environment configuration.</li>
<li>Automate cluster policies, job creation, environment provisioning, and configuration management.</li>
<li>Support infrastructure-as-code via Terraform (preferred) or CloudFormation.</li>
<li><b>Collaboration &amp; Business Support</b></li>
<li>Work with data analysts and BI teams to prepare curated datasets for reporting and analytics.</li>
<li>Collaborate closely with product owners, engineering teams, and business partners to translate requirements into scalable implementations.</li>
<li>Document data flows, technical architecture, and DevOps/deployment workflows.</li>
</ul>
<p><b>Expertise You'll Bring:</b></p>
<ul><li><b>Performance &amp; Optimization</b></li>
<li>Tune Spark clusters, workflows, and queries for cost efficiency and compute performance.</li>
<li>Monitor pipelines, troubleshoot failures, and maintain high reliability.</li>
<li>Implement logging, monitoring, and observability across workflows and jobs.</li>
<li>Apply caching strategies and workload optimization techniques to support low-latency consumption patterns.</li>
<li><b>Governance &amp; Security</b></li>
<li>Implement and maintain data governance using Unity Catalog.</li>
<li>Enforce access controls, security policies, and data compliance requirements.</li>
<li>Ensure lineage, quality checks, and auditability across data flows.</li></ul><br>
<p>
</p><p><b>Benefits:</b></p><br>
<p></p>
<ul><li>Competitive salary and benefits package</li>
<li>Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications</li>
<li>Opportunity to work with cutting-edge technologies</li>
<li>Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards</li>
<li>Annual health check-ups</li>
<li>Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents</li></ul><br>
<p>
</p><p><b>Values-Driven, People-Centric &amp; Inclusive Work Environment:</b></p><br>
<p></p>
<p>Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.</p><br>
<p></p>
<ul><li>We support hybrid work and flexible hours to fit diverse lifestyles.</li>
<li>Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.</li>
<li>If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment</li></ul><br>
<p>
</p><p><b>Let's unleash your full potential at Persistent - </b><b>persistent.com/careers</b></p><br>
<p></p>
<p><b><i>&quot;Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.&quot;</i></b></p>
</div></div></div></div><div></div><div><div><div><p><b>
1</b></p></div><div><div>
Open Positions
</div></div></div></div><div><div><div><p><b>Databricks,DevOps</b></p></div><div><div>
Skills Required
</div></div></div></div><div><div><div><p><b>Los Angeles, CA, USA</b></p></div><div><div>
Location
</div></div></div></div><div><div><div><p><b>Databricks,DevOps</b></p></div><div><div>
Desirable Skills
</div></div></div></div><div><div><div><p><b>8 to 16 years</b></p></div><div><div>
Years Of Exp
</div></div></div></div><div><div><div><p><b>168721</b></p></div><div><div>
Job Code</div></div></div></div></div><p></p>

Databricks Data Engineer (DevOps)

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