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practice lead, applied ai

machine learning engineer

Parallel

<div>
 
 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.
 
 
 
 
 Machine Learning / Computer Vision Engineer
 
 
 &nbsp;
 
 
 Perception Systems
 
 
 &nbsp;
 
 
 
 
 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.
 
 
 &nbsp;
 
 
 
 
 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.
 
 
 &nbsp;
 
 
 
 
 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.
 
 
 &nbsp;
 
 
 
 
 
 What&nbsp;You&rsquo;ll&nbsp;Work On
 
 
 
 &nbsp;
 
 
 <ul>
 <li>
 
 Training and improving deep learning models for&nbsp;perception&nbsp;tasks including detection, segmentation, tracking, and scene understanding
 
 
 &nbsp;
 
 </li>
 <li>
 
 Developing scalable training pipelines for large&nbsp;perception&nbsp;datasets
 
 
 &nbsp;
 
 </li>
 <li>
 
 Working with multimodal sensor data including cameras, lidar, and radar
 
 
 &nbsp;
 
 </li>
 <li>
 
 Evaluating and adapting&nbsp;state-of-the-art&nbsp;research for real-world deployment
 
 
 &nbsp;
 
 </li>
 <li>
 
 Improving inference performance and model reliability under real-world conditions
 
 
 &nbsp;
 
 </li>
 <li>
 
 Supporting deployment of&nbsp;perception&nbsp;models to edge compute systems on autonomous vehicles
 
 
 &nbsp;
 
 </li>
 </ul>
 
 
 
 What Success Looks Like
 
 
 
 &nbsp;
 
 
 <ul>
 <li>
 
 
 
 After 30 Days
 
 
 
 
 : 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.
 
 
 &nbsp;
 
 </li>
 <li>
 
 
 
 After 60 Days:&nbsp;
 
 
 
 
 You are independently training and evaluating models for a defined&nbsp;perception&nbsp;task and contributing improvements to model performance or data workflows.
 
 
 &nbsp;
 
 </li>
 <li>
 
 
 
 After 90 Days:&nbsp;
 
 
 
 
 You have contributed a measurable improvement to an existing&nbsp;perception&nbsp;model or training pipeline and are actively supporting deployment and testing efforts.
 
 
 &nbsp;
 
 </li>
 </ul>
 
 
 
 Basic Qualifications
 
 
 
 &nbsp;
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s or&nbsp;Master&rsquo;s degree in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a closely related technical field
 
 
 &nbsp;
 
 </li>
 <li>
 
 1 to 2 years of experience building machine learning systems&nbsp;
 
 
 
 or
 
 
 
 &nbsp;exceptional new graduates with strong internships or research experience
 
 
 &nbsp;
 
 </li>
 <li>
 
 Experience developing machine learning models using&nbsp;PyTorch&nbsp;or TensorFlow
 
 
 &nbsp;
 
 </li>
 <li>
 
 Strong programming ability in Python
 
 
 &nbsp;
 
 </li>
 <li>
 
 Solid mathematical foundation in linear algebra, probability, and optimization
 
 
 &nbsp;
 
 </li>
 <li>
 
 Experience working with real-world datasets in computer vision, robotics, or machine learning
 
 
 &nbsp;
 
 </li>
 </ul>
 
 
 
 Preferred Qualifications
 
 
 
 &nbsp;
 
 
 <ul>
 <li>
 
 Internship experience at leading technology, robotics, autonomy, or AI companies
 
 
 &nbsp;
 
 </li>
 <li>
 
 Research experience in machine learning, computer vision, or robotics labs
 
 
 &nbsp;
 
 </li>
 <li>
 
 Experience with perception tasks such as object detection, segmentation, tracking, or 3D vision
 
 
 &nbsp;
 
 </li>
 <li>
 
 Experience working with image, video, lidar, or radar datasets
 
 
 &nbsp;
 
 </li>
 <li>
 
 Familiarity with training pipelines, dataset tooling, and model evaluation
 
 
 &nbsp;
 
 </li>
 <li>
 
 Experience with C++, CUDA, or GPU optimization
 
 
 &nbsp;
 
 </li>
 <li>
 
 Publications or academic research in ML/CV venues such as CVPR, ICCV, ECCV,&nbsp;NeurIPS, or ICML
 
 
 &nbsp;
 
 </li>
 </ul>
 
 
 
 What Makes This Role Unique
 
 
 
 &nbsp;
 
 
 <ul>
 <li>
 
 Work on real autonomous systems&nbsp;operating&nbsp;in the physical world
 
 
 &nbsp;
 
 </li>
 <li>
 
 Build&nbsp;perception&nbsp;systems that must perform reliably in safety-critical environments
 
 
 &nbsp;
 
 </li>
 <li>
 
 Collaborate with engineers across autonomy, robotics, and systems engineering
 
 
 &nbsp;
 
 </li>
 <li>
 
 Contribute directly to a new class of autonomous transportation platform
 
 
 &nbsp;
 
 </li>
 </ul>
 
 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.
 
 
 Target Salary Range:: $120,000 USD - $190,000 USD
 
 
 
 
 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.
 
 
 
 
 
 
 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.
 
 
 
</div>

Machine Learning/Computer Vision Engineer

Tiger Analytics

<div>Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
We are seeking a highly skilled and experienced Lead Data Scientist with strong expertise in Data Science modelling, within the CPG domain. The ideal candidate will have a proven track record of designing, developing, and deploying scalable forecasting solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions.
Responsibilities: 
<ul><li>
Work on the latest applications of data science to solve business problems</li><li>
Work directly with client stakeholders to translate business problems into high level analytics solution designs</li><li>
Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value</li><li>
Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably</li><li>
Responsible for managing analytics projects, collaborating with client stakeholders and Tiger&rsquo;s team situated globally
</li><li>Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights</li><li>
Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution</li></ul> 

Requirements 
<ul><li>
8 - 13 years of professional work experience with at least 5 years in Data Science</li><li>
Ability to engage with executive/VP-level stakeholders from client&rsquo;s team to translate business problems to high level analytics solution approach</li><li>
Solid understanding of statistical and machine learning algorithms</li><li>
Strong project management and team management skills and ability to work with global teams</li><li>
Strong SQL skills and hands-on experience with analytic tools like R &amp; Python
</li><li>Exposure to cloud platforms and big data systems such as Hadoop, HDFS, Hive is a plus</li><li>
Experience working with Retail Domain companies.</li><li>
Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes</li><li>
Bachelor's in Business Analytics or equivalent work experience.</li></ul> 

Benefits 
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.</div>

Lead Data Scientist

Rula

<div>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.
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.
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.
Rula is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii.
About the Role
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.
Required Qualifications<ul><li>
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)</li><li>
5+ years of deep experience in Python and 2+ years with at least one backend language (preferably JavaScript, TypeScript, Java, or Go)</li><li>
Hands-on experience with foundation models (OpenAI, Anthropic, Bedrock, Gemini, etc.)</li><li>
Experience designing evaluation pipelines for human alignment, factual accuracy, or model interpretability.</li><li>
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).</li><li>
Deep understanding of AIOps, data pipelines, evaluation, and observability systems for continuous model improvement.</li><li>
Strong and effective communication skills.</li><li>
Bachelor&rsquo;s degree or above in Machine Learning, or related field.</li></ul>
Preferred Qualifications<ul><li>
5+ years of experience with public cloud (AWS, GCP, etc.), 2+ years designing and scaling distributed systems.</li><li>
Experience delivering secure and compliant AI solutions in regulated environments (HIPAA, GDPR, etc.)</li><li>
Familiarity with human-in-the-loop systems and clinical decision support frameworks.</li><li>
Contributions to open-source AI frameworks or applied research in NLP, healthcare AI, or GenAI safety.</li><li>
Experience working in a highly regulated industry such as finance or healthcare</li><li>
Experience contributing to early-stage team growth (0 1)</li></ul>
We're serious about your well-being! As part of our team, full-time employees receive:<ul><li>
100% remote work environment: 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)</li><li>
Attractive pay and benefits: Full transparency of pay ranges regardless of where you live in the United States</li><li>
Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA</li><li>
401(k) plan access: Start saving for your future</li><li>
Generous time-off policies: Including 2 company-wide shutdown weeks each year for self-care (for most employees)</li><li>
Paid parental leave: Available for all parents, including birthing, non-birthing, adopting, and fostering</li><li>
Employee Assistance Program (EAP): Support for your mental and physical health</li><li>
New hire home office stipend: Set up your workspace for success</li><li>
Quarterly department stipend: Fund team-building activities or in-person gatherings</li><li>
Wellness events and lunch &amp; learns: Explore a variety of engaging topics</li><li>
Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all</li></ul>
Our team
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.
Compensation Range: $206,550 - $243,000</div>

Staff AI Engineer - Applied AI (Remote)

<div>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.
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.
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.
Rula is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii.
About the Role
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.
Required Qualifications<ul><li>
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)</li><li>
3+ years of deep experience in Python and 1+ years with at least one backend language (preferably JavaScript, TypeScript, Java, or Go)</li><li>
Hands-on experience with foundation models (OpenAI, Anthropic, Bedrock, Gemini, etc.)</li><li>
Experience designing evaluation pipelines for human alignment, factual accuracy, or model interpretability.</li><li>
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).</li><li>
Deep understanding of AIOps, data pipelines, evaluation, and observability systems for continuous model improvement.</li><li>
Strong and effective communication skills.</li><li>
Bachelor&rsquo;s degree or above in Machine Learning, or related field.</li></ul>
Preferred Qualifications<ul><li>
3+ years of experience with public cloud (AWS, GCP, etc.), 1+ years designing and scaling distributed systems.</li><li>
Experience delivering secure and compliant AI solutions in regulated environments (HIPAA, GDPR, etc.)</li><li>
Familiarity with human-in-the-loop systems and clinical decision support frameworks.</li><li>
Contributions to open-source AI frameworks or applied research in NLP, healthcare AI, or GenAI safety.</li><li>
Experience working in a highly regulated industry such as finance or healthcare</li><li>
Experience contributing to early-stage team growth (0 1)</li></ul>
We're serious about your well-being! As part of our team, full-time employees receive:<ul><li>
100% remote work environment: 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)</li><li>
Attractive pay and benefits: Full transparency of pay ranges regardless of where you live in the United States</li><li>
Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA</li><li>
401(k) plan access: Start saving for your future</li><li>
Generous time-off policies: Including 2 company-wide shutdown weeks each year for self-care (for most employees)</li><li>
Paid parental leave: Available for all parents, including birthing, non-birthing, adopting, and fostering</li><li>
Employee Assistance Program (EAP): Support for your mental and physical health</li><li>
New hire home office stipend: Set up your workspace for success</li><li>
Quarterly department stipend: Fund team-building activities or in-person gatherings</li><li>
Wellness events and lunch &amp; learns: Explore a variety of engaging topics</li><li>
Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all</li></ul>
Our team
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.
Compensation Range: $172,550 - $203,000</div>

Sr. AI Engineer

Fox Corporation

<div><div>OVERVIEW OF THE COMPANY</div><div></div><h2 class="jobSectionHeader">
JOB DESCRIPTION</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>
A SNAPSHOT OF YOUR RESPONSIBILITIES</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>
WHAT YOU WILL NEED</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>
NICE TO HAVE, BUT NOT A DEALBREAKER</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>
ABOUT YOU</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>
WHY JOIN US?</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>
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.</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

Divergent

<div>
 Divergent is a technology company that has architected, invented, built, and commercialized an end-to-end factory system called the Divergent Adaptive Production System (DAPS) that comprehensively uses machine learning to optimally engineer, additively manufacture, and flexibly assemble complex integrated vehicle structures and subsystems. Products created using DAPS are superior in performance, lower in cost, rapidly customizable to meet mission and customer-specific requirements, faster to market, and scalable on demand to high volume production. Divergent is a qualified Tier 1 supplier to global automotive OEMs, and Divergent is now expanding to support mission critical needs in the Aerospace and Defense sector. Join us to be a part of this transformative journey, where your impact will shape the future of technology and production.
 
 
 Purpose
 
 
 The Manufacturing Engineer bridges design and production, optimizing designs for manufacturability while enhancing processes to support high-reliability hardware. This role guides new concepts through prototype, enables rapid iteration, troubleshoots complex manufacturing issues, and matures designs into production to uphold Divergent's standards for quality and reliability.
 
 
 The Role
 
 
 Program/Product Ownership
 
 
 <ul>
 <li>
 End-to-end manufacturing ownership of multiple development and production products
 </li>
 <li>
 Technical lead for all manufacturing processes
 
 
 </li>
 </ul>
 Manufacturing Process Development and Optimization:
 
 
 <ul>
 <li>
 Develop, Implement, and refine scalable manufacturing processes aligned with Divergent's technology development.
 </li>
 <li>
 Drive improvements in yield, cycle times, and first-pass quality through data-driven continuous improvement initiatives.
 </li>
 <li>
 Identify and implement automation opportunities to streamline workflows, enhance data collection, and improve process repeatability.
 </li>
 <li>
 Stay current on emerging manufacturing technologies, integrating innovative solutions to advance Divergent's competitive position.
 
 
 </li>
 </ul>
 New Product Introduction and Rapid Iteration:
 
 
 <ul>
 <li>
 Lead new concepts and product designs through the factory, ensuring efficient troubleshooting and rapid iteration to meet aggressive timelines.
 </li>
 <li>
 Implement Design for Manufacturability (DFM) strategies early in the design process, collaborating cross-functionally to optimize manufacturing outcomes.
 </li>
 <li>
 Introduce new equipment, tooling, and processes, conducting rigorous testing and validation to support high-reliability manufacturing.
 
 
 </li>
 </ul>
 Compliance and Quality Assurance:
 
 
 <ul>
 <li>
 Develop and maintain comprehensive manufacturing documentation, including work instructions and process plans, ensuring compliance with quality standards like AS9100.
 </li>
 <li>
 Ensure all manufacturing processes adhere to industry regulations and internal quality management systems.
 </li>
 <li>
 Lead efforts to resolve hardware nonconformance issues promptly, implementing corrective actions to prevent recurrence.
 </li>
 <li>
 Act as a technical lead in troubleshooting and resolving manufacturing issues, supporting production and quality teams.
 
 
 </li>
 </ul>
 Leadership and Team Development:
 
 
 <ul>
 <li>
 Provide technical guidance to manufacturing staff, fostering a culture of excellence, collaboration, and continuous learning.
 </li>
 <li>
 Lead cross-functional product/program teams.
 </li>
 <li>
 Support the Director of Manufacturing Engineering in team growth initiatives.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Ability to lawfully access information and technology that is subject to US export controls.
 </li>
 <li>
 Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, or related field.
 </li>
 <li>
 Significant exposure to aerospace or defense industries.
 </li>
 <li>
 Proficiency in CAD software (e.g., Siemens NX, AutoCAD) and strong understanding of Geometric Dimensioning and Tolerancing (GD&amp;T).
 </li>
 <li>
 Experience with Manufacturing Execution Systems (MES), Product Lifecycle Management (PLM), and Enterprise Resource Planning (ERP) systems.
 </li>
 <li>
 Hands-on experience with advanced manufacturing techniques, including additive manufacturing, robotics, or automation.
 </li>
 <li>
 Proven track record of leading complex projects from concept through production, focusing on high-performance materials and high-reliability applications.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in a relevant engineering discipline.
 </li>
 <li>
 Lean Six Sigma certification or equivalent expertise in continuous improvement methodologies.
 </li>
 <li>
 Familiarity with quality management systems like AS9100 or ISO 9001.
 </li>
 <li>
 Demonstrated ability to thrive in a high-tech, fast-paced startup environment with a passion for disrupting traditional manufacturing paradigms.
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 At Divergent, our pay range is based on the level of the job. For this role, we will consider candidates at levels E03 - E06 as evaluated through our interview process.
 
 
 <ul>
 <li>
 Engineer / E03: $91,800 - $126,200
 </li>
 <li>
 Engineer / E04: $106,000 - $145,750
 </li>
 <li>
 Senior / E05: $122,400 - $168,300
 </li>
 <li>
 Lead / E06: $141,400 - $194,400
 
 
 </li>
 </ul>
 Pay Range: $91,800 USD - $194,400 USD
 
 
 
 What We Offer:
 
 
 
 <ul>
 <li>
 Holistic Compensation Package: Enjoy a world-class compensation package that includes a competitive salary, equity plan, and discretionary results-based incentive bonus opportunities, ensuring you're truly valued for your contributions.
 </li>
 <li>
 Wellness and Time Off: Embrace a healthy lifestyle with paid vacation, sick time, and company holidays, including a year-end shutdown to recharge. We support growing families with paid parental leave, recognizing the importance of bonding time.
 </li>
 <li>
 Comprehensive Health and Wellness: Prioritize your well-being with our comprehensive health and wellness benefits, offering both HMO and Premium PPO options. Additionally, benefit from company-sponsored life insurance and short and long-term disability coverage for peace of mind.
 </li>
 <li>
 Investment in Growth: We're committed to your professional development. Take advantage of reimbursement opportunities for learning and development initiatives, empowering you to continuously expand your skill set and reach peak performance.
 </li>
 <li>
 Collaborative and High-Performing Environment: Join our collaborative, dynamic, and high-performing team within a fast-paced, mission-driven company. Together, we're disrupting the traditional manufacturing industry, fostering innovation, and integrating people and technology to reduce our footprint.
 
 
 </li>
 </ul>
 
 
 Equal Employment Opportunity
 
 
 
 
 
 Divergent is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected characteristic. Divergent provides affirmative action in employment for qualified Individuals with Disabilities and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans&rsquo; Readjustment Assistance Act.
 
 
 
 
 EEO Poster
 
 
 
 
 In order to adjust to changes in our business, it may become necessary to add, remove or modify certain duties and responsibilities, or to reassign you to another job position. From time to time you may be asked to work on special projects or to assist with other work. Your cooperation and assistance in performing such additional work is expected.
 
 
 
 
 
 E-Verify: Right to Work
 
 
 
 
 
 Our company participates in E-Verify. E-Verify is a program that electronically confirms a candidate&rsquo;s eligibility to work in the United States after completing the Employment Eligibility Verification (Form I-9). The information provided on the Form I-9 is compared to the records contained in the Social Security Administration and Department of Homeland Security (DHS) databases. This helps employers verify the identity and employment eligibility of newly hired employees.
 
 
 
 
 Eligibility to Work Poster (English) | Eligibility to Work Poster (Spanish)
 
 
 
 
 
 Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO)
 
 
 
 
 
 Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO), we will consider for employment qualified applicants with arrest and conviction records.
 
 
 
 
 
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</div>

Manufacturing Engineer (All Levels)

The Data Sherpas

<div>Who We Are:

We are a dynamic team focused on building innovative and scalable data solutions on Amazon Web Services (AWS). Our AWS Data Engineer will play a key role in designing, building, and maintaining scalable data pipelines and infrastructure, ensuring data availability, accuracy, and performance for business insights and machine learning models.The ideal candidate will bridge the gap between AWS infrastructure and Snowflake Data Cloud, ensuring a seamless flow of data for analytics. 
What We Are Looking For:

We are seeking a highly skilled and experienced AWS Data Engineer who will be responsible for developing and managing data pipelines on AWS. The ideal candidate will bring strong expertise in AWS data services, big data processing, and data modeling to help us provide high-performance data solutions. Experience in optimizing Snowflake performance and managing Snowflake objects within an AWS environment is critical. 
Responsibilities:

Data Pipeline Development and Management:
<ul>
<li>Design and automate end-to-end data ingestion from APIs, databases, and third-party sources into AWS S3 using Glue, Kinesis, and Lambda.</li>
<li>Develop ETL/ELT processes to process and transform large volumes of structured and unstructured data.</li>
<li>Optimize data pipeline performance, scalability, and reliability.</li>
<li>Ensure data processing and ingestion workflows are monitored and meet performance SLAs.</li></ul> 


Data Storage and Management:
<ul>
<li>Design and implement data storage solutions using Amazon S3, Redshift, DynamoDB, and RDS.</li>
<li>Architect and manage the 'S3-to-Snowflake' bridge using Snowpipe and External Tables to ensure near real-time data availability.</li>
<li>Optimize data structures, partitioning, and indexing for performance and cost efficiency.</li>
<li>Ensure data security, integrity, and availability across different AWS storage solutions.</li>
<li>Manage data lifecycle policies and archiving processes.</li></ul> 


Data Transformation and Processing:
<ul>
<li>Develop data transformation processes using AWS Glue, EMR, and Athena.</li>
<li>Implement data quality checks, validation rules, and monitoring solutions.</li>
<li>Support real-time and batch data processing needs.</li>
<li>Develop and manage complex data transformations using dbt and Snowflake SQL, ensuring code modularity and version control.</li></ul> 


Data Integration and Automation:
<ul>
<li>Integrate data from multiple sources, including APIs, databases, and third-party applications.</li>
<li>Ensure data consistency across different environments and systems.</li></ul> 


Collaboration and Stakeholder Engagement:
<ul>
<li>Work closely with data scientists and analysts to understand data needs and business goals.</li>
<li>Provide technical guidance and best practices to the data engineering and business teams.</li>
<li>Collaborate with security and compliance teams to ensure data governance standards are met.</li></ul> 


Performance Monitoring and Troubleshooting:
<ul>
<li>Monitor data pipeline performance and troubleshoot issues in real-time.</li>
<li>Analyze data pipeline failures and implement fixes to prevent recurrence.</li>
<li>Set up logging and monitoring using CloudWatch and X-Ray.</li></ul> 


Qualifications:
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Data Engineering, or a related field; Master&rsquo;s degree is a plus.</li>
<li>5+ years of experience in data engineering, with a focus on AWS and modern cloud data warehouses (Snowflake experience required).</li>
<li>AWS Certified Data Analytics &ndash; Specialty or AWS Certified Big Data &ndash; Specialty certification is required.</li>
<li>Strong proficiency with AWS services such as S3, Redshift, Glue, Athena, Kinesis, Lambda, and Step Functions.</li>
<li>Hands-on experience with big data tools and frameworks such as Apache Spark, Hadoop, and Flink.</li>
<li>Proficiency in dbt (Core or Cloud) for managing transformation workflows, with a strong understanding of dbt testing and documentation frameworks.</li>
<li>Proficiency in programming languages such as Python, Java, or Scala.</li>
<li>Strong knowledge of SQL, data modeling, and query optimization.</li>
<li>Experience with CI/CD tools and version control (e.g., Git, CodePipeline).</li>
<li>Strong understanding of data governance, security, and compliance requirements.</li>
<li>Ability to manage large-scale data processing and real-time data pipelines.</li>
<li>Excellent problem-solving, analytical, and communication skills.</li></ul> 


Preferred Skills:
<ul>
<li>Experience with data lake architecture and implementation on AWS.</li>
<li>Familiarity with Infrastructure as Code (IaC) tools such as CloudFormation and Terraform.</li>
<li>Experience with NoSQL databases (e.g., DynamoDB) and key-value stores.</li>
<li>Knowledge of containerization and orchestration using ECS and EKS.</li>
<li>Snowflake Core Certification (Pro) is a significant plus.</li>
<li>Experience with dbt-package management and integrating dbt with AWS-based orchestration tools like Airflow or Step Functions.</li></ul> 


What We Offer:
<ul>
<li>Competitive salary and performance-based incentives.</li>
<li>Comprehensive health, dental, and vision coverage.</li>
<li>401(k) with company matching.</li>
<li>Professional development and training opportunities (including AWS certification).</li>
<li>Flexible work environment and remote work options.</li></ul> 


Join us and be part of a team building innovative and scalable data solutions on Amazon Web Services! 
This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or Corp-to-Corp (C2C) arrangements. We are looking for the best talent and are flexible on the employment structure for the right candidate. 
We cannot work with third-party agencies at this time. Resumes submitted via unapproved agencies will be automatically rejected.</div>

Data Engineer - AWS (Snowflake)

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