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senior software engineer

Motional

<div><h4 class="jobSectionHeader"><b>Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn't just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.</b><br>
</h4>
<h4 class="jobSectionHeader"><b>Mission Summary:</b></h4>
<p>
The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.</p>
<p>
The Senior Software Engineer, Data Engineering role is a high-impact position focused on building the scalable data infrastructure, developer tools, and cloud platform that underpins the organization's systems-level performance tracking. The mission of the team is to provide robust infrastructure and scalable tooling for producing, processing, and analyzing systems metrics at a massive scale, thereby accelerating the development of safe and reliable autonomous technology. The engineer will be responsible for creating essential components like CLI tools, web apps, cloud infrastructure, and SDKs for the metrics platform. Success in this role requires technical vision, an architectural mindset, and strong communication skills, as the Senior Software Engineer will act as a foundational pillar for the team, authoring design documents, driving engineering best practices, and architecting scalable solutions.</p><br>
<h4 class="jobSectionHeader"><b>
What You'll Be Doing:</b></h4>
<ul><li><b>Design &amp; Architect:</b> Author comprehensive technical design documents to propose, evaluate, and implement scalable infrastructure and tooling solutions.</li>
<li><b>Tooling &amp; SDK Development:</b> Build intuitive internal CLI tools, web applications, and Python-based SDKs leveraging Ray to streamline how engineers produce and interact with systems-level metrics.</li>
<li><b>Cloud Infrastructure:</b> Architect, deploy, and maintain robust cloud infrastructure on AWS to support high-throughput data processing and analytics.</li>
<li><b>Data Pipeline Engineering:</b> Leverage modern data tooling and formats (dbt, Apache Iceberg / Parquet, Redshift) to build highly efficient data pipelines, surfacing data effectively to BI platforms (Looker).</li>
<li><b>CI/CD &amp; Containerization:</b> Champion continuous integration and deployment best practices using GitLab, while deploying scalable services and workloads using containerization technologies.</li>
<li><b>Mentorship &amp; Leadership:</b> Act as a technical pillar on the team. Establish standards, mentor peers, and grow into a technical lead role guiding the future roadmap of our metrics infrastructure.<br>
</li>
</ul><h4 class="jobSectionHeader"><b>What We're Looking For:</b></h4>
<ul><li>5+ years of software engineering experience, with a strong focus on backend, data infrastructure, or platform engineering.</li>
<li>Deep expertise in Python, particularly in building scalable backend systems, SDKs, and CLI tools.</li>
<li>Proven experience working within AWS, data warehouses like Redshift, and open-source data formats like Iceberg and Parquet.</li>
<li>Experience working with DBT for data transformations and interacting with BI platforms like Looker.</li>
<li>Hands-on experience with Ray for scaling Python workloads.</li>
<li>Strong familiarity with containerization (Docker/Kubernetes) and setting up robust CI/CD pipelines via GitLab.</li>
Demonstrated ability to write clear, concise, and thorough technical design documents and lead architecture reviews.<br>
<li>
</li>
</ul><h4 class="jobSectionHeader"><b>Bonus Points (not required):</b></h4>
<ul><li>Prior experience working in data engineering pipelines for IoT / telemetry / sensors.</li>
Experience working with autonomous vehicle data.<br>
<li>
</li>
</ul><h4 class="jobSectionHeader"><b>Success Metrics:</b></h4>
<ul><li>Successful creation of comprehensive technical design documents for scalable infrastructure solutions.</li>
<li>Development of intuitive internal CLI tools, web apps, and Python-based SDKs.</li>
<li>Deployment and maintenance of robust cloud infrastructure on AWS supporting high-throughput processing.</li>
<li>Establishment of engineering standards and effective mentorship of peers on the team.</li><br>
</ul>
<p>This is a unique opportunity to make a meaningful impact at Motional by enhancing our data platform and accelerating development speed for our industry-leading autonomous vehicle metrics and capabilities ecosystem. We take pride in having some of the brightest and most dedicated talent in the world on our team. If you're innovative, driven, and eager to tackle challenges, we'd love to have you join us!</p><br>
<p><b>
Physical Demands:</b></p>
<p>
While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.</p><br>
<p><b>
Travel Requirements (greater than 20%)</b>:</p>
<p>
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.</p><br>
<p><b>
Working Environment:</b></p>
<p>
The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate.</p>
<p><b>
We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.</b></p><div><p><b>
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.</b></p>
<p><b>
Our journey is always people first.</b></p>
<p>
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.</p>
<p><b>
Higher purpose, greater impact.</b></p>
<p>
We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.
</p><p><b>Scale up, not starting up.</b></p>
<p>
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.</p>
<p>
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.</p>
<p><i>
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.</i></p></div></div>

Senior Software Engineer, Data Engineering

Axon

<div><div><h4 class="jobSectionHeader"><b>Join Axon and be a Force for Good.</b></h4>
<p>
At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.<br>
<br>
Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.</p></div><h4 class="jobSectionHeader"><b>
Your Impact
</b></h4><p>Today, public safety officers spend up to 2/3 of their time on the job filling out paperwork (sometimes with paper, sometimes with floppy disks). Not only is this tedious for officers, but the never-ending pile of paperwork reduces the amount of time they can spend out in the field, protecting their communities. Axon Records cuts down on paperwork so that officers can spend more time prioritizing the safety of our communities.<br>
<br>
<b>On the Axon Records Discovery Squad, we're building a high-performance, scalable search and insights platform to help law enforcement officers find accurate, relevant information for all of the questions they have on the job.
</b><br>
<br>
Imagine the year 2030. Advanced technology has automated more and more routine tasks to put officers back in the community, dramatically improving the quality and safety of our lives. Public safety officers have everything available at their fingertips- empowering them to seamlessly connect the dots and get the answers they need, when they need them, to most effectively protect life.<br>
<br>
As a Senior Engineer on the Discovery Squad, <b>you'll work closely with software engineers, product managers and designers to ensure the Records data is easy for users to locate and analyze. You'll work on major technical projects with large data volumes, lead the implementation of new features</b>, and help shape our team culture and engineering processes.
<br>
<br>
Join us to work with a passionate, mission-driven group of folks who want to positively impact the lives of first responders and those that they serve.</p><br>
<h4 class="jobSectionHeader"><br>
<b>What You'll Do
</b></h4><p><b>Location: </b>This role is based out of our Seattle or Boston office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.</p>
<ul>
<li>Lead engineering architecture design reviews</li>
<li>Set a high technical bar for the team through code and architecture design reviews</li>
<li>Enjoys mentoring and growing engineers</li>
<li>Working across teams with Product, Design, and Engineering to create integrated solutions that delight our customers</li>
<li>Improve our Engineering process, including long-term thinking, sprint planning and stand-ups</li>
<li>Building services that adhere to our high bar on availability and latency in this mission-critical space</li>
<li>Working with the latest open source technologies</li>
</ul>
<h4 class="jobSectionHeader"><b>What You Bring</b></h4>
<ul><li>Bachelor's Degree in Computer Science, Engineering, or related field</li>
<li>10+ years of professional software development experience</li>
<li>Experience designing and delivering highly-available, scalable cloud-based systems</li>
<li>Backend service experience in multiple, managed languages such as Java, Scala, Go, C#, or similar</li>
<li>Experience working with ElasticSearch or other search engine technologies</li>
<li>Experience with realtime streaming event log or messaging technologies, such as Kafka or ActiveMQ</li>
<li>Experience working with SQL or NoSQL data stores</li>
<li>Experience with Golang, GraphQL, and TypeScript programming is a plus</li>
</ul>
<h4 class="jobSectionHeader"><b>Benefits that Benefit You</b></h4>
<ul><li>Competitive salary and 401k with employer match</li>
<li>Discretionary paid time off</li>
<li>Paid parental leave for all</li>
<li>Medical, Dental, Vision plans</li>
<li>Fitness Programs</li>
<li>Emotional &amp; Mental Wellness support</li>
<li>Learning &amp; Development programs</li>
<li>And yes, we have snacks in our offices</li>
</ul>
<p><i>Benefits listed herein may vary depending on the nature of your employment and the location where you work.</i></p><br>
<p></p>
<p><i>
The Pay: Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The starting base pay for this role is between USD 141,000 in the lowest geographic market and USD 225,600 in the highest geographic market. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit www.axon.com/careers/benefits.</i></p><p></p><div><p><br>
Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.</p>
<p>
Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.</p>
<p><b>
Important Notes</b></p>
<p><i>
The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.</i></p>
<p><i>
Some roles may also require legal eligibility to work in a firearms environment.</i></p>
<p><i>
We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at </i><b><i>axongreenhousesupport@axon.com</i></b><i> or via our </i><i>Axon Privacy Web Form</i><i>. For more information, please see the Your California Privacy Rights section of our </i><i>Applicant and Candidate Privacy Notice.</i></p>
<p><i>
Axon's mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.</i></p>
<p><i>
We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent &mdash; regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances &mdash; and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email </i><i>recruitingops@axon.com.</i><i> Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.</i></p>
<p>
Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at https://www.axon.com/careers. If you receive a suspicious offer or outreach from an email address that is not <b>@axon.com</b>, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.</p></div></div><p></p>

Senior Software Engineer I, (Discovery)

Hike Medical

<div><p><b>The Role</b><br>
As a Senior Machine Learning Engineer, you will bridge the gap between raw computer vision and physical, 3D-printed reality. You will own the pipeline that translates a smartphone video into a high-fidelity, CAD-compatible 3D reconstruction of human anatomy.<br>
<b>What You&rsquo;ll Work On</b></p><ul><li><p><b>
3D Reconstruction &amp; Generation:</b> Develop and deploy SOTA models for 3D human body part reconstruction (SDFs, NeRFs, Gaussian Splatting, or Mesh-based approaches) from videos.</p></li><li><p><b>
Deep Learning:</b> Architect pipelines that handle non-Euclidean data to extract precise clinical measurements from noisy real-world scans.</p></li><li><p><b>
CAD Integration:</b> Bridge the gap between AI inference and parametric CAD modeling for automated 3D printing preparation.</p></li><li><p><b>
Rapid Prototyping &amp; Continual Learning: </b>You should be used to keeping up to date on latest advances and quickly implementing these advancements into our systems.</p></li><li><p><b>
Production ML:</b> Work with our engineering team to deploy models into our AWS/serverless environment, ensuring clinical-grade accuracy at scale.</p></li></ul><p><b><br>
Ideal Candidate Profile</b><br>
<b>Technical Requirements</b></p><ul><li><p>
PhD in Machine Learning, Computer Graphics, Geometry Processing, or a related field, or equivalent experience.</p></li><li><p>
Deep expertise in 3D representations (Meshes, Point Clouds, Voxels, SDFs) and their respective computational tradeoffs.</p></li><li><p>
Proven track record in Generative Vision, 3D Reconstruction, or related topics.</p></li><li><p>
Strong proficiency in Python and PyTorch.</p></li><li><p>
Experience in CAD and computational geometry is a big plus.</p></li><li><p>
Experience with ML infrastructure in AWS (SageMaker, Lambda, etc) and model deployment is a plus.</p></li><li><p>
Experience in Biomedical AI or Biomechanics (e.g., modeling joint movement or tissue) is highly valued but not required.</p></li></ul><p><b><br>
Helpful Characteristics</b></p><ul><li><p><b>
Fast Iteration Mindset: </b>Willingness to move fast, iterate confidently in ambiguous tasks and deliver results from imprecise instructions or requirements.</p></li><li><p><b>
Product Minded: </b>Our AI team communicates the art of the possible. Having a good eye for high-value product opportunities is a major plus.</p></li><li><p><b>
Polymathic:</b> You can discuss loss functions with researchers, API latency with engineers, and 3D printing constraints with manufacturing.</p></li><li><p><b>
Strong Communicator:</b> You clearly explain your ideas, challenge assumptions, and collaborate across engineering, AI, and product teams.</p></li><li><p><b>
Mission-Driven:</b> You want to build technology that helps people walk without pain and revolutionize the future of orthopaedic care.</p></li><li><p><b>
Thrives in Collaboration</b>: You push back, ask tough questions, and elevate the team.</p></li></ul></div>

Senior Machine Learning Engineer

Ketch

<div><p><b>About Ketch</b></p>
<p>
Ketch is redefining responsible data use for the AI era. Our Data Permissioning Platform helps companies manage data privacy, consent, and compliance&mdash;while enabling privacy-safe data activation across devices, systems, and third-party applications. Global brands rely on Ketch to support GDPR, CCPA/CPRA, and modern data governance initiatives.</p>
<div><b>
Job Description:</b></div>
<div>
A Senior Solutions Engineer is the frontline subject matter expert with prospective customers and partners. You gain a deep understanding of customer requirements and design the appropriate solution to meet their needs. You will help frame and quantify the value of the Ketch solution, differentiate our platform, tell our value story through standard and custom technical demonstrations, manage enterprise Proofs of Value, and work with the Sales team to ultimately close business. You will be a critical link between sales, product management, engineering, and professional services teams (including partners) while successfully operating with a high degree of autonomy.</div><br>
<div></div>
<div>
You must thrive in a fast-paced, often ambiguous, environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and going deep with experienced technical audiences. You bring a passion for continuous learning (both technical and regulatory) and the ability to work independently.</div>
<h3 class="jobSectionHeader"><b>
Key Areas of Responsibility</b></h3><div>
<h4 class="jobSectionHeader"><b>Solution Sales</b></h4>
<p><i>
Focus: Supporting the deal lifecycle, value engineering, and stakeholder management.</i></p>
<ul>
<li><p><b>Drive the solution sales cycle:</b> Collaborate closely with Account Executives owning the solution components of the deal, moving opportunities from discovery to closed/won. Own the technical solution responses to RFPs, RFIs, and Security Questionnaires.</p>
</li>
<li><div><b>Articulate value &amp; vision:</b> Confidently present the Ketch platform and vision to diverse audiences, from C-level executives to security engineers and legal counsel, tailoring the narrative to frame and quantify value for each stakeholder.</div>
</li>
<li><p><b>Deliver compelling demonstrations:</b> Lead high-impact product demonstrations, whiteboarding sessions, and Q&amp;A forums that clearly visualize how Ketch solves complex data permissioning challenges.</p>
</li>
</ul><h4 class="jobSectionHeader"><b>Solution Design</b></h4>
<p><i>
Focus: Solution architecture, hands-on demo build, prototyping, and validation.</i></p>
<ul>
<li><p><b>Architect customer solutions:</b> Translate customer business challenges into robust technical designs. Produce detailed solution architecture diagrams that highlight data flows, front-end integrations, backend system integrations, and solution sequencing. Produce assets that describe how users will interact with and benefit from the solution.</p>
</li>
<li><div><b>Rapid demo builds and prototyping (Front-end):</b> Independently build front-end visionary demos using tools like Webflow, JavaScript, and HTML to visualize the user experience in the customer context.</div>
</li>
<li><div><b>Integration (Back-end):</b> Prototype back-end integrations with customer internal systems using REST APIs and your understanding of JSON to demonstrate interoperability.</div>
</li>
<li><div><b>Validate technical fit:</b> When appropriate, design and lead technical workshops and Proof of Value (POV) engagements to validate the solution against specific customer use cases and success criteria.</div>
</li>
<li><div><b>Scope implementation:</b> Assess the prospect&rsquo;s delivery capabilities and determine the necessity for Ketch Professional Services or partner involvement, ensuring a seamless transition from sales to deployment.</div>
</li>
<li><p><b>Customer Success</b>: Own the handover of the solution to the Customer Experience (and when appropriate, the partner) team.</p>
</li>
</ul><h4 class="jobSectionHeader"><b>Domain Expertise &amp; Thought Leadership</b></h4>
<p><i>
Focus: Industry knowledge, technology expertise, market strategy, and product feedback.</i></p>
<ul>
<li><p><b>Serve as a Privacy SME:</b> Maintain deep immersion in the evolving data privacy landscape, including global laws (GDPR, CCPA, etc.), regulatory requirements, and enforcement actions.</p>
</li>
<li><div><b>Mastery of the data ecosystem:</b> Leverage strong familiarity with large-scale database technology (e.g. Snowflake, Databricks, BigQuery) and cloud technologies (AWS, GCP) to advise on data governance and integration best practices.</div>
</li>
<li><div><b>Mastery of the advertising ecosystem:</b> Maintain an up-to-date understanding of the advertising technology landscape and the impact of privacy on data collection and activation.</div>
</li>
<li><div><b>Competitive strategy:</b> Maintain an up-to-date understanding of competitive technologies, equipping the sales team with the knowledge to position Ketch effectively in the market.</div>
</li>
<li><p><b>Cross-functional collaboration:</b> Act as the &quot;voice of the customer&quot; by collaborating with Product Management and Engineering to influence the roadmap, while working with Marketing to develop cross-functional solution guides and technical assets.</p>
</li>
</ul></div><h3 class="jobSectionHeader"><b>Requirements</b></h3><p><b>
Professional Experience:</b></p>
<ul>
<li><p>10-15 years working experience.</p>
</li>
<li><div>5+ years of experience in a Solution Engineering, Sales Engineering, or Technical Consulting role, preferably within an Enterprise SaaS environment.</div>
</li>
<li><div>Proven track record of supporting complex sales cycles and co-selling with Account Executives to close 6-figure+ deals.</div>
</li>
<li><p>Experience working in the Data Privacy, Data Governance, Security, or AdTech/MarTech sectors is highly preferred.</p>
</li>
</ul><p><b>Technical Skills:</b></p>
<ul>
<li><p>Front-End Prototyping: Practical working knowledge of HTML, CSS, and JavaScript. Experience with low-code design tools (e.g. Webflow) to build visual mockups and interactive prototypes is essential.</p>
</li>
<li><div>API &amp; Integration fluency: Understanding of RESTful APIs, JSON payloads, and webhooks. Ability to use tools like Postman to test endpoints.</div>
</li>
<li><div>Data Ecosystems: Strong familiarity with modern data platforms (Snowflake, Databricks, BigQuery). You do not need to be a database admin, but you must be comfortable navigating a database schema and performing data updates to tables.</div>
</li>
<li><div>Architecture &amp; Diagramming: Ability to create clear, professional solution diagrams (using tools like Lucidchart) that explain data flows to both technical and non-technical audiences.</div>
</li>
<li><p>Web architecture: You must understand and be able to explain how a web browser works at a technical level.</p>
</li>
</ul><p><b>Core Sales &amp; Soft Skills:</b></p>
<ul>
<li><p>Presentation Mastery: Exceptional verbal and written communication skills. You must be comfortable whiteboarding a solution on the fly and pivoting a conversation from a high-level executive summary to a deep-dive technical debate.</p>
</li>
<li><div>Discovery &amp; Consulting: Strong &quot;detective&quot; skill. The ability to ask second and third-level questions to uncover the root cause of a prospect's pain, implication and need (e.g., MEDDPICC/Value Engineering). Be deeply curious and follow the thread.</div>
</li>
<li><p>Self-Starter Mentality: A demonstrated ability to work independently in a fast-paced environment, learning new technologies and regulations rapidly without hand-holding or seeking permission. Do it now.</p>
</li>
</ul><p><b>Nice-to-Haves:</b></p>
<ul>
<li><p>Privacy Certification: CIPP/E, CIPP/US, or CIPM certifications from the IAPP.</p>
</li>
<li><p>AdTech/MarTech Knowledge: Familiarity with how data moves through marketing ecosystems (CDPs, DMPs, DSPs)</p>
</li>
</ul><p><b>Other:</b></p>
<ul>
<li><div>Must be able to work legally in the United States</div>
</li>
<li>B.S Computer Science, Software Engineering, MIS or equivalent relevant experience required</li>
<li>English language fluency required, additional languages a plus</li>
<li>Able to travel up to 20% of the time</li></ul><br>
<div>
</div><div><b>Location:</b></div>
<div>
Preference is to have the role work in the US Eastern or Central time zone(s). This is a remote role.</div><div>
The US Base Salary range for this full-time position is $140,000 - $175,000 + commission + bonus + equity + benefits, with an OTE of up to $250,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Senior Solutions Engineer

Zoox

<div><div><p>The Perception team at Zoox creates the &quot;eyes and ears&quot; of our self-driving robots. Navigating safely and efficiently in complex environments requires detecting, classifying, tracking, and understanding various attributes of surrounding objects&mdash;all in real-time and with exceptional accuracy.</p><br>
As an engineer in the Scene Understanding team, you will develop advanced<b> </b>Vision-Language-Action (VLA) models that perceive our vehicle's surroundings to identify hazards and make driving suggestions. You will utilize VLA models for detecting rare events and ensuring safe driving in these situations. You'll work with state-of-the-art machine learning models that operate in real-time on our robotaxi platform with minimal latency. Collaborating with world-class engineers and researchers across sensors, planning, and other teams, you'll have access to premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions.</div>
<h3 class="jobSectionHeader"><b>In this role, you will...</b></h3><div>
<ul>
<li><p>Design and train Vision-Language-Action (VLA) solutions for robotaxis</p>
</li>
<li><p>Lead end-to-end data strategy, including mining, auto-labeling, and dataset construction to power our ML flywheel</p>
</li>
<li><p>Lead the full post-training stack for VLMs and VLAs, including <b>C</b>ontinual Pre-training (CPT) on domain-specific driving data, Supervised Fine-Tuning (SFT) for instruction following.</p>
</li>
<li><p>Utilize our large-scale data pipelines and ML infrastructure to research, prototype, and deploy solutions that improve driving behavior</p>
</li>
<li><p>Partner with cross-functional teams to integrate perception signals</p>
</li>
</ul></div><h3 class="jobSectionHeader"><b>Qualifications</b></h3><div>
<ul>
<li><p>MS or PhD in Computer Science or related field</p>
</li>
<li><p>Background in deep learning solutions for VLM and VLA models</p>
</li>
<li><p>Track record in post-training large-scale models, CPT, SFT, RL</p>
</li>
<li><p>Hands-on experience with production ML pipelines, including dataset creation, training frameworks, and metrics</p>
</li>
<li><p>Expertise in Python libraries (PyTorch, NumPy, Pandas, VLLM)</p>
</li>
</ul></div><h3 class="jobSectionHeader"><b>Bonus Qualifications</b></h3><div>
<ul>
<li><p>Deep knowledge of cutting-edge computer vision techniques</p>
</li>
<li><p>Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA)</p>
</li>
<li><p>Experience with integrating large language models to various tasks.</p>
</li>
</ul></div><div><div><b>Base Salary Range</b></div>
<div></div>
<div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.</div>
<div></div>
<div>Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div>
</div><div><b>About Zoox</b></div><div>
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We&rsquo;re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div></div><div><br>
Follow us on LinkedIn</div><div></div><div><b><br>
Accommodations</b></div><div>
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div></div><div><b><i><br>
A Final Note:</i></b></div><div><i>
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</i></div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Senior Machine Learning Engineer - Scene Understanding

DigitalOcean

<div><div><p>Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together&mdash;while learning, having fun, and making a profound difference for the dreamers and builders in the world.</p></div><p>
We are looking for a <b>Customer Success Engineer - Database</b> who is passionate about cloud infrastructure, database technologies, and delivering exceptional customer experiences, while providing high-touch, white-glove support to strategic accounts.</p>
<p>
As a Customer Success Engineer at DigitalOcean, you will join a dynamic team dedicated to supporting and empowering customers to successfully run their workloads on our platform. You will work closely with customers to troubleshoot issues, optimize database performance, and guide them in adopting best practices across managed databases and cloud infrastructure.</p>
<p>
In this role, you will build strong technical depth across database systems and DigitalOcean products while developing your ability to handle increasingly complex customer scenarios. You will collaborate cross-functionally with Product and Engineering to ensure seamless customer outcomes. This role reports to the Manager, Customer Success Engineer.</p>
<h2 class="jobSectionHeader"><b>
What You'll Do</b></h2>
<ul><li>Deliver hands-on technical support for database and cloud infrastructure issues across technologies such as MySQL, PostgreSQL, Valkey (Redis), MongoDB and Clickhouse, with exposure to cloud-native and Kubernetes environments</li>
<li>Diagnose and resolve production issues impacting database performance, availability, replication, backups, and connectivity</li>
<li>Guide customers in designing scalable, reliable, and high-performing database architectures on DigitalOcean</li>
<li>Collaborate with senior engineers and stakeholders to support onboarding, migrations, customer success, and the resolution of complex escalations.</li>
<li> on complex escalations, contributing to root cause analysis and resolution</li>
<li>Analyze customer architectures to identify improvement opportunities and recommend best practices</li>
<li>Participate in incident response and on-call rotations to support critical customer issues</li>
<li>Contribute to team growth through case reviews and knowledge sharing, while developing and maintaining technical documentation and playbooks to drive continuous improvement.</li>
<li>Advocate for customer feedback to influence product improvements and platform enhancements</li>
<li>Identify opportunities to leverage automation and AI tools to streamline support workflows, reduce manual effort, and improve response quality.</li>
<li>Use monitoring and observability tools to diagnose performance bottlenecks and system behavior.</li>
</ul><h2 class="jobSectionHeader"><b>Key Metrics</b></h2>
<ul><li>Customer Satisfaction (CSAT)</li>
<li>Time to Resolution / SLA adherence</li>
<li>Escalation quality and resolution effectiveness</li>
<li>Documentation and knowledge base contributions</li>
<li>Customer adoption of best practices</li>
</ul><h2 class="jobSectionHeader"><b>What You'll Add to DigitalOcean</b></h2>
<h3 class="jobSectionHeader"><b>Required Experience &amp; skills</b></h3>
<ul><li>2&ndash;5 years of experience in technical support, DevOps, cloud engineering, or similar roles</li>
<li>Hands-on experience with some of the major database systems (e.g., PostgreSQL, MySQL, Redis, MongoDB, Clickhouse), with some familiarity across Kafka and others.</li>
<li>Strong Foundational knowledge of Linux, networking, and cloud infrastructure concepts</li>
<li>Understanding of database fundamentals including backups, replication, indexing, and performance tuning</li>
<li>Strong troubleshooting skills across application, database, and infrastructure layers</li>
<li>Customer-first mindset with a passion for solving technical problems and delivering great support experiences</li>
<li>Effective communication skills with the ability to explain technical concepts clearly</li>
<li>Ability to work both independently and collaboratively in a fast-paced environment</li>
</ul><h2 class="jobSectionHeader"><b>Preferred Qualification:</b></h2>
<ul><li>Proven experience contributing to open-source projects, particularly in the database ecosystem (e.g., MySQL, PostgreSQL, Redis, MongoDB) or related technologies like Kafka, OpenSearch, or database migration tools.</li>
<li>Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with multi-cloud or hybrid cloud environments.</li>
<li>Basic Experience to distributed systems or containerized environments (e.g., Kubernetes)</li>
<li>Hands-on experience with Infrastructure-as-Code tools such as Terraform, Helm, or Ansible.</li>
<li>Contributions to open-source projects, technical blogs, or documentation related to databases or cloud-native technologies</li>
<li>At least one of the Database Certifications, such as Oracle Certified Professional or Databases Administrator</li>
<li>Exposure<b> </b>to one or more programming languages (PHP, Python, NodeJS) or a strong interest in developing coding skills.</li>
</ul><h2 class="jobSectionHeader"><b>Compensation Range:</b></h2>
<ul><li>$75,200 - $94,000 / Shift hours - 4pm - 12am EST</li>
</ul>
<ul><li>This is a remote role</li></ul>
<p>
JR: 2026-7646</p>
<p><i>
#LI-Remote</i></p><div><h2 class="jobSectionHeader"><b>
Why You'll Like Working for DigitalOcean</b></h2>
<ul><li><b>We innovate with purpose. </b>You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.</li>
<li><b>We prioritize career development.</b> At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.</li>
<li><b>We care about your well-being. </b>Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.</li>
<li><b>We reward our employees. </b>The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.</li>
<li><b>DigitalOcean is an equal-opportunity employer. </b>We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</li>
</ul>
<p><b>Application Limit:</b> You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.</p></div></div>

Customer Success Engineer - Database (2nd Shift)

PharmEng Technology

<div>
 <strong>
  About The Job Data Engineer
  <br/>
  <br/>
 </strong>
 <strong>
  Location:
 </strong>
 On-site/Remote (TBD)
 <br/>
 <br/>
 <strong>
  Industry:
 </strong>
 Pharmaceutical Manufacturing
 <br/>
 <br/>
 <strong>
  Employment Type:
 </strong>
 Contract
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 PharmEng Technology is seeking a skilled
 <strong>
  Data Optimization &amp; Engineering Consultant
 </strong>
 to support our client's internal digital department. The consultant will lead efforts to enhance manufacturing data analytics, streamline document and data flow, and implement improvements aligned with best practices in data governance and integrity. This role is pivotal in reducing costs and improving efficiency in our clients digital data solutions.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Support preparation, analysis, and optimization of manufacturing data and document flow.
  </li>
  <li>
   Develop visualizations and charts using existing data foundations or external data sources.
  </li>
  <li>
   Collaborate with stakeholders to assess requirements for SeeQ software and lead custom development initiatives.
  </li>
  <li>
   Oversee SeeQ software installation, configuration, documentation, and implementation support.
  </li>
  <li>
   Evaluate existing data workflows and document management processes to identify and close process gaps.
  </li>
  <li>
   Design and implement a remediation plan and roadmap for process improvement.
  </li>
  <li>
   Define and track KPIs to assess the success of implemented changes.
  </li>
  <li>
   Provide strategic guidance on best practices in data engineering tailored to the pharmaceutical industry.
  </li>
  <li>
   Create comprehensive documentation, revised workflows, and training materials.
  </li>
  <li>
   Lead training sessions and workshops for internal teams on new procedures and systems.
  </li>
  <li>
   Develop a monitoring framework for continuous process and data quality improvement.
  </li>
  <li>
   Deliver regular progress updates and a final report summarizing outcomes and future recommendations.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Deliverables Include
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Data visualizations and charts supporting manufacturing operations.
  </li>
  <li>
   SeeQ software requirement specifications and customization documentation.
  </li>
  <li>
   Updated process documentation and training materials.
  </li>
  <li>
   Progress reports across all phases of the project.
  </li>
  <li>
   A comprehensive summary of optimized data flow processes.
  </li>
  <li>
   A final project report including results, lessons learned, and future suggestions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Client Responsibilities
  <br/>
  <br/>
 </strong>
 Our client will provide all necessary documents and information in a timely manner, including:
 <br/>
 <br/>
 <ul>
  <li>
   Standard Operating Procedures (SOPs), tools, and historical data.
  </li>
  <li>
   Process flow diagrams and testing specifications.
  </li>
  <li>
   Relevant templates, validation master plans, and training access (as applicable).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join PharmEng?
  <br/>
  <br/>
 </strong>
 Work with a leading pharmaceutical company on cutting-edge data integration and digital transformation initiatives. This role offers the opportunity to make a meaningful impact on manufacturing operations through technical innovation and collaborative problem-solving.
 <br/>
 <br/>
 <strong>
  Apply Now
  <br/>
  <br/>
 </strong>
 If you're an experienced data engineering or analytics consultant with a background in pharmaceutical manufacturing, we want to hear from you. Please submit your resume and a brief cover letter outlining your relevant experience.
</div>


Data Engineer

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