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automation engineer

LiveRamp

<div><div><b>LiveRamp is the data collaboration platform of choice for the world&rsquo;s most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases&mdash;within organizations, between brands, and across its premier global network of top-quality partners.</b></div><div></div><div><b>
Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements.</b></div><div><b><br>
LiveRamp is the leading data connectivity platform. Connecting data has the power to change the world. Our platform powers insights and experiences centered on the needs of real people, keeping the Internet open for all. LiveRampers thrive on building together with curiosity and humility&mdash;and having a good bit of fun along the way. We always seek smart, kind, and creative people to grow our team and impact.</b></div><div></div><div><b>
Mission: </b><b>LiveRamp makes </b><b>it safe and easy for businesses to use data effectively.</b></div><div></div><div><b>
LiveRamp is seeking a skilled, versatile Senior Security Engineer to advance and grow our detection and automation initiatives. Reporting to the Senior Manager of Security Engineering and Operations, this role will collaborate with cross-functional teams and external partners to mitigate risks and implement security measures that safeguard sensitive data and systems against infiltration and cyberattacks. The position will also lead our incident response efforts and the development of threat detection platforms.</b></div><div></div><div><b>
You will:</b></div><ul><li><div><b>
Implement threat detection logic across various security platforms, including SIEM, and other security platforms as needed.</b></div></li><li><div><b>
Utilize threat modeling and threat-based thinking to construct and prioritize detection use cases.</b></div></li><li><div><b>
Automate security workflows to streamline threat detection, including alert enrichment, triage, and response.</b></div></li><li><div><b>
Develop scalable data pipelines and logging infrastructure within our cloud environments using IaC.</b></div></li><li><div><b>
Act as an escalation point for incident response and conduct technical analysis when needed.</b></div></li><li><div><b>
Troubleshoot issues related to detection coverage, telemetry ingestion, and automation logic across multiple security platforms.</b></div></li><li><div><b>
Create and maintain architecture diagrams, data flow documentation, and standard operating procedures related to cloud infrastructure and detection pipelines.</b></div></li><li><div><b>
Collaborate with peer security teams and stakeholders to enhance organizational maturity.</b></div></li><li><div><b>
Build, maintain, and secure cloud infrastructure across multi-cloud environments, ensuring alignment with best practices for IAM, network segmentation, and monitoring.</b></div></li></ul><div></div><div><b><br>
Your team will:</b></div><ul><li><div><b>
Advance LiveRamp&rsquo;s detection and response capabilities by focusing on engineering, automation, and integration with core infrastructure.</b></div></li><li><div><b>
Design and implement security automation to reduce alert fatigue and improve </b><b>mean-time-to-response</b><b> across Cloud, SaaS, and Endpoint security tooling</b></div></li><li><div><b>
Continuously enhance SIEM and cloud-native logging and monitoring pipelines to enable high-fidelity detections across corporate and production environments.</b></div></li><li><div><b>
Identify and implement scalable approaches to strengthen cloud and infrastructure security through detections, configurations, and automation.</b></div></li></ul><div></div><div><b>
About you:</b></div><ul><li><div><b>
Bachelor&rsquo;s degree in a relevant technical discipline (e.g., Cyber Security, Computer Engineering, Computer Science, or equivalent experience).</b></div></li><li><div><b>
Familiarity with security </b><b>automation/orchestration</b><b> platforms (SOAR), or equivalent tooling (Google Cloud Functions, AWS Lambda, etc.)</b></div></li><li><div><b>
You are always looking for automation opportunities, and don&rsquo;t like &ldquo;solving the same problem twice&rdquo;.</b></div></li><li><div><b>
Working knowledge in securing and monitoring public cloud environments (e.g., AWS, GCP, Azure), interested in applying cloud-native detection and automation capabilities.</b></div></li><li><div><b>
Experienced in developing simple tooling with Python or similar programming with strong debugging skills.</b></div></li><li><div><b>
Working knowledge of network and infrastructure security technologies such as firewalls, web proxies, IDS/IPS, and their role in enterprise defense.</b></div></li><li><div><b>
Clear and concise written and verbal communication, with a strong emphasis on documentation and knowledge sharing.</b></div></li><li><div><b>
Passionate about security, curious about the threat landscape, and eager to build scalable detection and automation capabilities.</b><br>
<br>
The approximate annual base compensation range is $127,000 to $145,000. The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors including the applicant's experience, knowledge, skills, and abilities, geography, as well as internal equity among our team.</div></li></ul><div><b><br>
Benefits:</b></div><ul><li><div><b>
People: Work with talented, collaborative, and friendly people who love their work.</b></div></li><li><div><b>
Work/Life Harmony: Flexible paid time off, paid holidays, options for working from home, and paid parental leave.</b></div></li><li><div><b>
Whole Health Package: Medical, dental, vision, life, disability, long-term care, accident, critical illness insurance, pre-tax accounts (health, dependent, and commuter), and a family-forming benefit through Carrot. Plus Milk Stork, backup child and elder care, a discount on pet insurance, and mental health support (via Talkspace)</b></div></li><li><div><b>
FlexPerks reimbursement program to provide flexibility and choice ($375/quarter) for fitness, emotional, financial, family, travel, entertainment, convenience, and security expenses. (U.S. LiveRampers)</b></div></li><li><div><b>
Savings: Our 401 (k) matching plan&mdash;1:1 up to 6% of salary&mdash;helps you save. Also, Employee Stock Purchase Plan - 15% discount off the purchase price of LiveRamp stock (U.S. LiveRampers)</b></div></li><li><div><b>
RampRemote:</b><b> </b><b>A comprehensive office equipment and ergonomics program&mdash;we provide you with equipment and tools to be your most productive self, no matter where you're located</b></div></li><li><div><b>
Location: Remote</b></div></li></ul><div><b>
More about us:</b></div><div><b>
LiveRamp&rsquo;s mission is to connect data in ways that matter, starting with our people. We know that inspired teams enlist people from diverse backgrounds and experiences. We know that individuals do their best when they bring their whole selves to work and feel a sense of belonging. Connecting LiveRampers to new ideas and one another is one of our guiding principles that informs how we hire, train, and grow our global team across nine countries and four continents. </b><div><b>Click here</b></div><b> to learn more about Diversity, Inclusion, &amp; Belonging (DIB) at LiveRamp.</b></div><div><b>
LiveRamp is an affirmative action and equal opportunity employer </b><b>(AA/EOE/W/M/Vet/Disabled)</b><b> and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected status. Qualified applicants with arrest and conviction records will be considered for the position in accordance with the San Francisco Fair Chance Ordinance.</b></div><div><b>
California residents: Please see our </b><div><b>California Personnel Privacy Policy</b></div><b> for more information regarding how we collect, use, and disclose the personal information you provide during the job application process.</b></div><div><b><i>
To all recruitment agencies: LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees, or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes.</i></b></div><div><b>
#LI-Remote</b></div><h2 class="jobSectionHeader"><b><br>
Benefits:</b></h2><ul><li><div>
People: Work with talented, collaborative, and friendly people who love what they do.</div></li><li><div>
Fun: We host in-person and virtual events such as game nights, happy hours, camping trips, and sports leagues.</div></li><li><div>
Work/Life Harmony: Flexible paid time off, paid holidays, options for working from home, and paid parental leave.</div></li><li><div>
Comprehensive Benefits Package: LiveRamp offers a comprehensive benefits package designed to help you be your best self in your personal and professional lives. Our benefits package offers medical, dental, vision, life and disability, an employee assistance program, voluntary benefits as well as perks programs for your healthy lifestyle, career growth and more.</div></li><li><div>
Savings: Our 401K matching plan&mdash;1:1 match up to 6% of salary&mdash;helps you plan ahead. Also Employee Stock Purchase Plan - 15% discount off purchase price of LiveRamp stock (U.S. LiveRampers)</div></li><li><div>
RampRemote: A comprehensive office equipment and ergonomics program&mdash;we provide you with equipment and tools to be your most productive self, no matter where you're located</div></li></ul><div></div><h2 class="jobSectionHeader"><b>
More about us:</b></h2><div></div><h2 class="jobSectionHeader"><b><i>
LiveRamp&rsquo;s mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles&mdash;one that informs how we hire, train, and grow our global team across nine countries and four continents. Click </i></b><div><b><i>here </i></b></div><b><i>to learn more about Diversity, Inclusion, &amp; Belonging (DIB) at LiveRamp.</i></b></h2><div></div><div>
LiveRamp is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected status. Qualified applicants with arrest and conviction records will be considered for the position in accordance with the San Francisco Fair Chance Ordinance.</div><div></div><div>
We use automated decision systems (ADS) as part of our recruitment and hiring process. If you require an accommodation or believe that the use of an ADS may create a barrier to your application or participation in the hiring process due to a disability or other protected characteristic, please let us know. We are committed to providing reasonable accommodations and ensuring an equitable hiring experience for all candidates.</div><div><b><br>
California residents</b>: Please see our <div>California Personnel Privacy Policy</div> for more information regarding how we collect, use, and disclose the personal information you provide during the job application process.</div><div><b><br>
To all recruitment agencies</b>: LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes.</div></div>

Senior Security Engineer

Apple

<p>Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? Be involved in collaborating closely with our machine learning researchers, engineers, and data scientists?<br>
<br>
Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide!<br>
<br>
As part of Apple&rsquo;s AI and Machine Learning org, we encourage and create groundbreaking technology for large-scale ML systems, computer vision, natural language processing, and multi-modal understanding and generation.<br>
<br>
The Data and Machine Learning Innovation (DMLI) team is looking for Machine Learning Engineer to explore new methods, challenge existing metrics or protocols, and develop new insightful practices that will change how we understand data and overcome real-world ML challenges.<br>
<br>
<b>Description</b><br>
<br>
As a Machine Learning (ML) Engineer, you will be entrusted with the critical role of innovating and applying state of the art research in ML to tackle complex data problems.<br>
<br>
The solutions you develop will significantly impact Apple Intelligence, future Apple products and the broader ML development ecosystem.<br>
<br>
You will work with a multidisciplinary team to actively participate in Apple Intelligence&rsquo;s data-model co-design and co-develop practice.<br>
<br>
Your responsibilities will extend to the design and development of a comprehensive data generation and curation framework for Apple Intelligence foundation models at Apple.<br>
<br>
You will also be responsible to build robust model evaluation pipelines, integral to the continuous improvement and assessment of Apple Intelligence foundation models.<br>
<br>
Furthermore, you will have the opportunity to showcase your groundbreaking research work by publishing and presenting at premier academic venues.<br>
<br>
&quot;,&quot;responsibilities&quot;:&quot;Develop and implement techniques for creating high-quality synthetic datasets across a variety of domains, including vision, text, and audio data.<br>
<br>
Innovate and experiment with new approaches for synthetic data generation to improve the diversity, realism, and representativeness of datasets.<br>
<br>
Collaborate with multi-functional teams to understand data requirements and ensure that synthetic datasets are optimized for training foundation models.<br>
<br>
Crafting and implementing semi-supervised, self-supervised representation learning techniques for growing the power of both limited labeled data and large-scale unlabeled data.<br>
<br>
Develop pipelines and tools to automate synthetic data generation for large-scale AI experiments.<br>
<br>
Stay updated with the latest research and industry trends in synthetic data generation, foundational model training, and large-scale data engineering.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
3+ years of experience with developing and evaluating ML applications, and demonstrated experience in understanding and improving data quality.<br>
<br>
Strong publication record in relevant conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, etc).<br>
<br>
Strong problem-solving and communication skills.<br>
<br>
Experience of multimodal large language model or image/video generation model training is a plus.<br>
<br>
Ph.D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics or related areas.<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
Demonstrated expertise in computer vision, natural language processing, and machine learning with a passion for data-centric machine learning.<br>
<br>
Deep understanding in multi-modal foundation models.<br>
<br>
Staying on top of emerging trends in generative AI and multi-modal LLM.<br>
<br>
Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax.<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

AIML - Sr Machine Learning Engineer, Data and ML Innovation

MORSE Corp

<div>
 <p>
  MORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA with a history of fielding
  <span>
   cutting-edge
  </span>
  <span>
   technology. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem.
  </span>
  <span>
   &nbsp;
  </span>
 </p>
 <p>
  <span>
   We are seeking a Machine Learning Engineer to join our team at MORSE.  You will play a pivotal role in designing, implementing, and managing complex ML algorithms and systems, with a focus on computer vision (CV) and other types of data. You will be responsible for acquiring truth data, integrating algorithms, testing algorithms, combining algorithms, reviewing literature to stay on top of the latest-and-greatest methods, analyzing data from field tests, and developing advanced algorithms.  MORSE&rsquo;s AI &amp; ML work crosses modalities, and experience or interest in the fields of Large Language Models (LLM), audio analysis, computer vision, and advanced reasoning is a plus. You will work with MORSE&rsquo;s current team of engineers to transition algorithms to production, which may run on on-prem servers, on the cloud, or on a real-time embedded system. You will be part of our team working to accelerate our US National Security customers abilities to use natural language processing capabilities in mission-critical environments.
  </span>
  <span>
   &nbsp;
  </span>
 </p>
 <span>
  Responsibilities:
 </span>
 <span>
  &nbsp;
 </span>
 <ul>
  <li>
   <span>
    Develop, fine-tune, train, and optimize Computer Vision algorithms processing tasks such as object detection and tracking.&nbsp;
   </span>
   <span>
    &nbsp;
   </span>
  </li>
 </ul>
 <ul>
  <li>
   <span>
    Use MLOps tools for efficient experiment tracking, data management, and reproducibility
   </span>
   <span>
    &nbsp;
   </span>
  </li>
 </ul>
 <ul>
  <li>
   <span>
    Write robust, efficient, and maintainable code
   </span>
   <span>
    &nbsp;
   </span>
  </li>
 </ul>
 <ul>
  <li>
   <span>
    Track the latest advancements with machine learning research to bring new techniques and methodologies to MORSE
   </span>
   <span>
    &nbsp;
   </span>
  </li>
 </ul>
 <ul>
  <li>
   <span>
    Conduct experiments and perform rigorous evaluations to assess the effectiveness and efficiency of CV models
   </span>
   <span>
    &nbsp;
    <br/>
   </span>
  </li>
 </ul>
 <span>
  Skills and Requirements:
 </span>
 <span>
  &nbsp;
 </span>
 <ul>
  <li>
   <span>
    US CITIZENSHIP REQUIRED and the ability to obtain a U.S. Security Clearance
   </span>
   <span>
    &nbsp;
   </span>
  </li>
 </ul>
 <ul>
  <li>
   <span>
    Masters or Ph.D. in Computer Science, Computer Engineering, Data Science, Aerospace, Mathematics, Physics, or related field
   </span>
   <span>
    &nbsp;
   </span>
  </li>
 </ul>
 <ul>
  <li>
   <span>
    Proven experience in applying CV models, techniques, frameworks, and libraries to implement and fine-tune models
   </span>
   <span>
    &nbsp;
   </span>
  </li>
 </ul>
 <ul>
  <li>
   <span>
    Proven experience testing and validating the performance of AI technologies in real-world applications
   </span>
   <span>
    &nbsp;
   </span>
  </li>
 </ul>
 <ul>
  <li>
   <span>
    Proficiency in Python
   </span>
   <span>
    &nbsp;
   </span>
  </li>
 </ul>
 <ul>
  <li>
   <span>
    Experience with cloud platforms (AWS and Azure)
   </span>
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    &nbsp;
   </span>
  </li>
 </ul>
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  <li>
   <span>
    Experience with Docker
   </span>
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    &nbsp;
   </span>
  </li>
 </ul>
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  <li>
   <span>
    Experience with MLOps tools such as Airflow, MLFlow, AimStack, etc.
   </span>
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    &nbsp;
   </span>
  </li>
 </ul>
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  <li>
   <span>
    Exceptional communication skills and the ability to work well with customers
   </span>
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    &nbsp;
   </span>
  </li>
 </ul>
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  <li>
   <span>
    Understanding of Department of Defense requirements and standards is a plus
   </span>
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    &nbsp;
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  </li>
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  MORSE Corp&rsquo;s salary range for this role carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Therefore, final offer amounts may vary from the amount stated. Depending on role eligibility, total compensation may also include bonus, stock, 401(k) match, paid time off, medical, dental, vision and life insurance.Employees also receive 10 paid holidays per year. MORSE maintains an &ldquo;open&rdquo; leave policy that does not restrict exempt, regular full-time employees to a specific&nbsp;number of paid sick or vacation days. However, this policy is not an &ldquo;unlimited&rdquo; paid leave policy.&nbsp;
 </p>
 <p>
  Compensation: $90,000 USD - $210,000 USD
 </p>
 <p>
  The team at MORSE takes pride in being the smart team that is easy to work with. We focus on steady, long-term success with an emphasis on exceptionalism and delivering mission-critical impact to our customers. For more information, please visit www.morsecorp.com.
 </p>
 <p>
  <strong>
   &nbsp;
  </strong>
 </p>
</div>


Machine Learning Engineer

Samsara

<div><div><p><b>Who we are</b></p>
<p>
Samsara (NYSE: IOT) is the pioneer of the Connected Operations&trade; Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing &mdash; and we are excited to help digitally transform their operations at scale.</p>
<p>
Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term.</p></div><p><b>
About the role:</b></p>
<p>
The Senior Security Engineer I - Enterprise Security is responsible for building, operating, and maintaining Samsara's core security infrastructure. You will collaborate with a global team of engineers to help build a world-class security engineering program utilizing modern principles across corporate infrastructure.</p>
<p>
You take security seriously and strive to build low-friction solutions developed in close partnership with others. You are passionate about building automated alerting and response capabilities and helping to drive insights around potentially malicious activity within production environments. You enjoy building tools and workflows from scratch, maintaining active programs, and threading security into company processes to meet business needs. You will use your familiarity with a diverse set of technologies and practices to build a leading program in our industry. You enjoy teaching and supporting team members, and helping junior engineers develop their skills and security instincts.</p>
<p>
This is a remote position open to candidates residing in California, Hawaii, Oregon, Nevada, and Washington except for San Francisco Bay Area Metro. Relocation assistance will not be provided for this role.</p>
<p><b>
You should apply if:</b></p>
<ul>
<li><b>You want to impact the industries that run our world:</b> Your efforts will result in real-world impact &ndash; helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.</li>
<li><b>You are the architect of your own career:</b> If you put in the work, this role won't be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.</li>
<li><b>You're energized by our opportunity:</b> The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.</li>
<li><b>You want to be with the best:</b> At Samsara, we win together, celebrate together and support each other. You<b> </b>will be surrounded by a high-calibre team that will encourage you to do your best.</li>
</ul>
<p><b>In this role, you will:</b></p>
<ul>
<li>Provide influence and leadership over Samsara's Enterprise Security roadmap and priorities, helping to balance both near-term and long-term business impact with technical considerations.</li>
<li>Write clear, concise documentation and runbooks for enterprise security workflows.</li>
<li>Collaborate with partners across Engineering, IT, and Security to ensure proper implementation of security tools and policies.</li>
<li>Occasionally assist the Security Operations team during security investigations, acting as a technical subject matter expert within your domain.</li>
<li>Partner with engineering teams to triage and support remediation of vulnerabilities and misconfigurations in systems and applications.</li>
<li>Mentor engineers in the Security team to grow their domain knowledge, tool-specific skills, and communication abilities.</li>
<li>Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices</li>
</ul>
<p><b>Minimum requirements for the role:</b></p>
<ul>
<li>4+ years of relevant experience in an Enterprise Security role with demonstrated impact.</li>
<li>Deep expertise in enterprise security engineering best practices, with a focus on SASE tools like Zscaler.</li>
<li>Strong scripting skills with Python, including experience building tools and automations.</li>
<li>Demonstrated experience building, integrating, and maintaining enterprise security tools.</li>
<li>Strong familiarity with common security problems and the ability to independently judge their severity and impact on the business.</li>
<li>Hands-on experience with automation tools (e.g., Tines, AWS Lambda) and common security platforms (e.g., Crowdstrike, Zscaler, Wiz).</li>
<li>Track record of delivering impactful work across multiple quarters and collaborating effectively across teams.</li>
<li>Resides in the Pacific or Hawaii time zones.</li>
</ul>
<p><b>An ideal candidate also has:</b></p>
<ul>
<li>Experience driving efforts around zero trust, least privilege, just-in-time access management, identity lifecycle management, and data loss prevention.</li>
<li>A history of building out security programs using modern SaaS platforms such as Crowdstrike, Mimecast Incydr, Splunk, and other tools.</li>
<li>Experience with infrastructure as code deployments using Terraform</li>
</ul><div><p><b>
Total Rewards</b></p>
<p>
At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.</p>
<p>
Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you're ready to build for the long term and own the outcome, your journey starts here.</p>
<p><b>
Flexible Working</b></p>
<p>
At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.</p>
<p><b>
Belonging at Samsara</b></p>
<p>
At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact.</p>
<p><b>
Accommodations</b></p>
<p>
Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process.</p>
<p><b>
Our Commitment to Authenticity</b></p>
<p>
We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara's Candidate Privacy Notice for more information.</p>
<p><b>
Fraudulent Employment Offers</b></p>
<p>
Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.</p></div></div>

Sr. Security Engineer I - Enterprise Security

BCforward

<div>
 <p>
  <strong>
   BCForward is currently seeking a highly motivated AWS Data Engineer for an On-site opportunity in Seattle, WA
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role: AWS Data Engineer
  </strong>
 </p>
 <p>
  <strong>
   Duration: 6+ months
  </strong>
 </p>
 <p>
  <strong>
   Locations: Seattle, WA
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Anticipated Start Date:
  </strong>
  04/13/2026
 </p>
 <p>
  <strong>
   Job Type:
  </strong>
  Contract &ndash; Onsite
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for an AWS Data Engineer with strong experience in building and managing data solutions on AWS.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Skills:
  </strong>
  AWS (EC2, S3, RDS, VPC), Python, Redshift (Must Have), AWS Glue, Athena, Lambda
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Build and maintain data pipelines and AWS infrastructure
  </li>
  <li>
   Work with Redshift for data warehousing and querying
  </li>
  <li>
   Use Glue, Athena, and Lambda for data processing and automation
  </li>
  <li>
   Support cloud deployments, monitoring, and troubleshooting
  </li>
  <li>
   Ensure security and compliance standards are followed
  </li>
  <li>
   Assist in migrating data and applications to AWS
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Benefits:
  </strong>
 </p>
 <p>
  BCforward offers all eligible employees a comprehensive benefits package, including, but not limited to, major medical, HSA, dental, vision, employer-provided group life, voluntary life insurance, short-term disability, long-term disability, and 401k.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About BCforward:
  </strong>
 </p>
 <p>
  Founded in 1998 on the idea that industry leaders needed a professional service and workforce management expert to
 </p>
 <p>
  fuel the development and execution of core business and technology strategies, BCforward is a Black-owned firm providing
 </p>
 <p>
  unique solutions supporting value capture and digital product delivery needs for organizations around the world.
 </p>
 <p>
  Headquartered in Indianapolis, IN, with an Offshore Development Center in Hyderabad, India, BCforward&rsquo;s 6,000
 </p>
 <p>
  Consultants support more than 225 clients globally.
 </p>
 <p>
  BCforward champions the power of human potential to help companies transform, accelerate, and scale. Guided by our
 </p>
 <p>
  With core values of People-Centric, Optimism, Excellence, Diversity, and Accountability, our professionals have helped our clients
 </p>
 <p>
  achieve their strategic goals for more than 25 years. Our strong culture and clear values have enabled BCforward to
 </p>
 <p>
  become a market leader and best in class place to work.
 </p>
 <p>
  BCforward 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, or protected veteran status and will not be discriminated against based on disability.
 </p>
 <p>
  To learn more about how BCforward collects and uses personal information as part of the recruiting process, view our Privacy Notice and CCPA Addendum. As part of the recruitment process, we may ask for you to disclose and provide us with various categories of personal information, including identifiers, professional information, commercial information, education information, and other related information. BCforward will only use this information to complete the recruitment process.
 </p>
 <p>
  This posting is not an offer of employment. All applicants applying for positions in the United States must be legally authorized to work in the United States. The submission of intentionally false or fraudulent information in response to this posting may render the applicant ineligible for the position. Any subsequent offer of employment will be considered employment at-will, regardless of the anticipated assignment duration.
 </p>
</div>


AWS Data Engineer

Salesforce

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Software Engineering
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p><p><b>Lead Data Engineer
</b></p><p><b>Office hybrid in Seattle or Chicago
</b></p><p></p><p>As a Data Engineer at Salesforce within the Data &amp; Analytics organization, you will collaborate with cross-functional teams to create and manage robust data solutions that support our analytics and business intelligence initiatives, building scalable and efficient data pipelines, optimizing data workflows, and ensuring data quality and reliability. The Customer Success Data Platform organization sits at the intersection of Automation, Analytics, and AI, pushing the boundaries of Salesforce technology as Customer 0 and providing trusted data that supports the AI + Human tandem.<br>
</p><p></p><h2 class="jobSectionHeader"><br>
<b>What You&rsquo;ll Do
</b></h2><ul><li><h3 class="jobSectionHeader"><b>Architect Multi-Stage Medallion Pipelines: </b><b>Design and oversee the implementation of a robust Medallion Architecture (Bronze, Silver, and Gold layers), ensuring seamless transitions from raw ingestion to highly refined, business-logic-heavy data assets.
</b></h3></li><li><h3 class="jobSectionHeader"><b>Lead Semantic Layer Strategy: </b><b>Own the development and governance of the </b><b>Semantic Layer </b><b>, defining standardized metrics and dimensions to ensure consistent interpretation of KPIs across all downstream business intelligence and reporting platforms.
</b></h3></li><li><h3 class="jobSectionHeader"><b>Advanced Dimensional Modeling: </b><b>Lead the transition from flat tables to sophisticated Star and Snowflake schemas. Design high-performance data models that support complex relationship mapping, historical versioning (SCD Type 2), and high-concurrency querying.
</b></h3></li><li><h3 class="jobSectionHeader"><b>Engineering Identity &amp; Entity Resolution: </b><b>Build and maintain scalable pipelines for identity resolution, stitching together disparate data points across the Salesforce ecosystem to create unified, governed customer and product graphs.
</b></h3></li><li><h3 class="jobSectionHeader"><b>Infrastructure for Causal &amp; Attribution Modeling: </b><b>Partner with Decision Scientists to engineer the specialized data structures and features required for advanced attribution and causal inference, ensuring these models are backed by high-integrity, production-ready data.
</b></h3></li><li><h3 class="jobSectionHeader"><b>Data Contracts &amp; Quality Governance: </b><b>Establish and enforce strict Data Contracts between upstream producers and downstream consumers. Implement automated validation frameworks to monitor data freshness, schema drift, and semantic accuracy.
</b></h3></li><li><h3 class="jobSectionHeader"><b>Operational Excellence &amp; CI/CD: </b><b>Drive engineering best practices by implementing rigorous CI/CD workflows for data pipelines, emphasizing automated testing, version control for SQL/Python transformations, and proactive performance tuning.
</b></h3></li><li><h3 class="jobSectionHeader"><b>Cross-Functional System Design: </b><b>Collaborate with Product Managers and Engineering leaders to translate complex business requirements into scalable technical architectures, prioritizing data lineage, transparency, and low-latency access to trusted metrics.<br>
</b><br>
</h3></li></ul><p><b>Qualifications:
</b></p><ul><li><p>8+ years of experience as a Data Engineer or in a similar role.
</p></li><li><p>A related technical degree required.
</p></li><li><p>Proficiency in data engineering tools and languages, such as Python, SQL, and Spark.
</p></li><li><p>Strong understanding of database concepts, data modeling, and ETL processes with tools like Airflow, dbt, Informatica, etc.
</p></li><li><p>Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud).
</p></li><li><p>Familiarity with data warehousing, SQL, NoSQL databases, and data integration techniques.
</p></li><li><p>Experience with the Salesforce Ecosystem, specifically Data Cloud.
</p></li><li><p>Problem-solving skills to troubleshoot and resolve data-related issues.
</p></li><li><p>Excellent communication skills and ability to collaborate in a cross-functional environment.
</p></li></ul><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
</p><p></p><p>Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
</p><p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
</p><p></p>In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
<p></p>At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $172,500 - $260,100 annually. &amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div><p></p>

Lead Data Engineer

<p>Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other&rsquo;s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It&rsquo;s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you&rsquo;ll do more than join something - you&rsquo;ll add something.<br>
<br>
As part of Apple&rsquo;s central data annotation engineering team, you&rsquo;ll help build the next generation of AI-powered user experiences. Our work provides high-quality datasets and expert feedback to train machine learning models and evaluate their performance across all products and verticals. The team maintains and develops a global distributed system that captures insights from human domain experts and analysts worldwide, operating at a scale that few companies can match. We leverage cutting-edge human-in-the-loop algorithms to create and curate datasets through fine-tuned multi-step annotation workflows and near real-time data quality feedback signals. You&rsquo;ll tackle complex challenges in ML data quality at unprecedented scale while collaborating closely with AIML engineering teams across the company. From Siri to the Photos app, from iPhone to Vision Pro, you&rsquo;ll help bring innovative experiences to millions of users worldwide.<br>
<br>
<b>Description</b><br>
<br>
This role focuses on enhancing the annotation quality capabilities of Apple's central data annotation platform. You'll work on a cloud-based system that supports machine learning model development across all Apple products. The position combines backend engineering with research and concept development to improve how we measure, monitor, and optimize annotation and ML dataset quality at scale. You'll be responsible for building systems that ensure high-quality training data while developing innovative approaches to quality assessment and feedback mechanisms.<br>
<br>
As part of a close-knit team of half a dozen engineers focused on annotation quality initiatives and embedded in an even larger team of fellow data annotation engineers, you'll collaborate on shared challenges and contribute to collective problem-solving efforts. The team works together on overlapping projects, combining individual expertise in backend and frontend engineering, statistics, and ML to advance the state of annotation quality measurement and optimization. You'll have the opportunity to learn from peers tackling similar technical problems while contributing your own insights to push the boundaries of what's possible in large-scale data quality assessment.<br>
<br>
Your contributions will directly impact the foundation of Apple's AI and machine learning capabilities, ensuring that models across the entire product ecosystem are trained on the highest quality data possible.&quot;,&quot;responsibilities&quot;:&quot;Develop and maintain backend services for annotation quality measurement and monitoring systems<br>
<br>
Design and implement statistical measures and algorithms to assess annotation quality across diverse datasets incl. both foundational model driven and traditional approaches<br>
<br>
Create automated quality feedback mechanisms that provide real-time insights to annotation teams<br>
<br>
Research and prototype new approaches for improving annotation consistency and accuracy<br>
<br>
Optimize and design efficient data pipelines for dataset/annotation quality metrics collection<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
5+ years of experience in data annotation, data quality, or related ML value chain roles<br>
<br>
Experience building and scaling web-based platforms for machine learning workflows<br>
<br>
Advanced knowledge of statistical methods for data quality assessment<br>
<br>
Experience with distributed systems and microservices architecture<br>
<br>
Background in annotation workflow optimization<br>
<br>
Track record of research publications or patents in data quality or machine learning<br>
<br>
Experience working in cross-functional teams with both technical and non-technical stakeholders<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
PhD in Computer Science, Machine Learning, Statistics, Math, Physics or related field, or 5 years of equivalent work experience<br>
<br>
3+ years of backend engineering experience with cloud-based services<br>
<br>
Proficiency in Python and/or Golang for backend development<br>
<br>
Experience with AWS services including Lambda and RDS/Aurora<br>
<br>
Strong foundation in applied statistics and machine learning fundamentals<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

AIML - Applied ML Engineer, Data Generation & Verification

Explore 67+ Automation engineer in Seattle this April. Find roles across top companies and apply now to boost your career.