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data engineer

Adobe

<div>
 
 Our Company
 
 
 
 Changing the world through digital experiences is what Adobe&rsquo;s all about. We give everyone&mdash;from emerging artists to global brands&mdash;everything they need to design and deliver exceptional digital experiences! We&rsquo;re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
 
 
 We&rsquo;re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
 
 
 Adobe Customer Solutions is looking for a full time Data Engineer with experience in building data integrations using AWS technology stack as part of the team's Data as a Service portfolio for Adobe&rsquo;s Digital Experience enterprise customers.
 
 
 Customer facing Engineers who enjoy tackling complex technical challenges, have a passion for delighting customers and who are self-motivated to push themselves in a team oriented culture will thrive in our environment
 
 
 What you&rsquo;ll do
 
 
 <ul>
 <li>
 Collaborate with Data architects, Enterprise architects, Solution consultants and Product engineering teams to capture customer data integration requirements, conceptualize solutions &amp; build required technology stack
 </li>
 <li>
 Collaborate with enterprise customer's engineering team to identify data sources, profile and quantify quality of data sources, develop tools to prepare data and build data pipelines for integrating customer data sources and third party data sources with Adobe solutions
 </li>
 <li>
 Develop new features and improve existing data integrations with customer data ecosystem
 </li>
 <li>
 Encourage team to think out-of-the-box and overcome engineering obstacles while incorporating new innovative design principles.
 </li>
 <li>
 Collaborate with a Project Manager to bill and forecast time for customer solutions
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Experience as an enterprise Data Engineer from a consulting background
 </li>
 <li>
 AWS Certified Data Engineer &ndash; Associate or AWS Certified Cloud Practitioner
 </li>
 <li>
 5+ years experience in building/operating/maintaining fault tolerant and scalable data processing integrations using AWS
 </li>
 <li>
 7+ years experience in Python programming language preferably using PySpark
 </li>
 <li>
 Software development experience working with Apache Airflow, MongoDB, MySQL
 </li>
 <li>
 Strong capacity to manage numerous projects are a must
 </li>
 <li>
 Experience using Docker or Kubernetes is a plus
 </li>
 <li>
 BS/MS degree in Computer Science or equivalent industry experience
 </li>
 <li>
 Ability to identify and resolve problems associated with production grade large scale data processing workflows
 </li>
 <li>
 Excellent communication skills (we&rsquo;re a geographically distributed team)
 </li>
 <li>
 Experience creating and maintaining unit tests and continuous integration.
 </li>
 <li>
 Passion for creating Intelligent data pipelines that customers love to use.
 
 
 </li>
 </ul>
 Special Consideration given for
 
 
 <ul>
 <li>
 Experience &amp; knowledge with Web Analytics or Digital Marketing
 </li>
 <li>
 Experience &amp; knowledge with Customer Data Platform (CDP) or Data Management Platform (DMP)
 </li>
 <li>
 Experience &amp; knowledge with Adobe Experience Cloud solutions
 
 
 </li>
 </ul>
 Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $114,100 -- $214,950 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
 
 
 In California, the pay range for this position is $148,500 - $214,950 In New York, the pay range for this position is $148,500 - $214,950 In Washington, the pay range for this position is $135,100 - $195,550
 
 
 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
 
 
 In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
 
 
 
 State-Specific Notices:
 
 
 
 
 California:
 
 
 
 
 Fair Chance Ordinances
 
 
 
 Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and &ldquo;fair chance&rdquo; ordinances.
 
 
 
 Colorado:
 
 
 
 
 Application Window Notice
 
 
 
 If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
 
 
 
 Massachusetts:
 
 
 
 
 Massachusetts Legal Notice
 
 
 
 It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
 
 
 Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
 
 
 Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.
</div>

Data Engineer

ROLLER

<div><h2 class="jobSectionHeader">About ROLLER</h2>

ROLLER is not your average software-as-a-service company. With a global presence in over 30 countries, we're here to bring some excitement to the leisure and attractions industry and make a difference! Our mission is to help businesses operate smoothly and create fun and memorable guest experiences by providing seamless ticketing, point-of-sale, self-serve kiosks, memberships and digital waiver processes.

But here's the best part: our team. We're a group of 300+ highly passionate, enthusiastic, and down-to-earth professionals located all around the world who are all working together to build something truly remarkable. We're aiming high and believe that the possibilities are endless. As we continue to grow globally, we're excited to write our success story and have fun along the way.

We genuinely love what we do, and we're looking for like-minded people to join us on this amazing journey. If you're ready to be part of a dynamic team and make a real impact, come aboard, and let's create some unforgettable experiences together at ROLLER! 

<h2 class="jobSectionHeader">
About the Role</h2>

We are seeking a highly technical, hands-on Senior Data Engineer to architect and scale our data infrastructure from the ground up. As a core member of the data function within our Business Technology team, you will be responsible for building the pipelines and models that power smarter decision-making and operational efficiency across the entire organization.

In this foundational role, you will build &amp; architect the modern data stack, ensuring our infrastructure is robust, automated, and governed. You collaborate as a technical partner with GTM ,Product, Finance, P&amp;C to build high-performance data models and pipelines that transform raw data into actionable cross-functional insights.

Joining ROLLER at this pivotal growth stage, you will have the opportunity to make an outsized impact on our technical landscape, directly influencing how we process data to deliver world-class experiences for our customers globally. 


What You'll Do
<ul>
<li>Scalable Architecture: Design and implement robust Data Modeling and Architecture strategies that support high-volume data processing and maintain long-term scalability.</li>
<li>Cloud Ecosystem: Develop and manage end-to-end data pipelines using Google Cloud Platform services, specifically leveraging Cloud Run, Cloud Function for compute, BigQuery for storage, and Cloud Composer (Airflow) for orchestration.</li>
<li>Transformation Excellence: Build, maintain, and document complex data transformation layers using DBT (Data Build Tool) to ensure high data quality and reliability.</li>
<li>Infrastructure as Code: Automate the provisioning of cloud resources using Terraform and streamline deployment workflows via GitHub Actions CI/CD pipelines.</li>
<li>Cloud Data Warehousing: Demonstrate expert-level proficiency in managing and optimizing Cloud Data Warehouses, such as Snowflake &amp; BigQuery.</li>
<li>Team Collaboration: Partner with cross-functional stakeholders to build and scale high-performing data infrastructure that supports engineering, analytics, and Data Program needs.</li>
<li>Stack Management: Architect and maintain a modern data stack by implementing best-in-class tools including Snowflake, Bigquery, dbt, Fivetran, Looker, Tableau and Airflow.</li>
<li>Pipeline Engineering: Develop scalable ETL/ELT workflows and robust data models to deliver real-time analytics and unified business reporting.</li>
<li>Data Visualization: Create and maintain intuitive, high-performance Looker dashboards will be an added advantage.</li></ul> 

<h2 class="jobSectionHeader">
About You</h2>

You are a technical builder who views data as a competitive advantage. You thrive in fast-paced environments and have a proven track record of engineering scalable data foundations from the ground up. Equal parts architect and analytical problem-solver, you excel at balancing long-term technical vision with the daily hands-on execution of complex pipelines.

You are energized by the full lifecycle of data&mdash;moving beyond just writing code to actively leading project discovery and analysis alongside cross-functional partners. You take pride in enabling GTM, Product, Finance &amp; P&amp;C teams through clear insights and high-performance systems. Most importantly, you are excited to act as a founding technical force for a high-growth SaaS company that is transforming the guest experience for attractions businesses globally. 

<ul>
<li>5+ years of experience in Data &amp; Analytics or Data Engineering with a focus on Scalable cloud driven data pipeline build</li>
</ul><ul><li>Proven experience in dimensional modeling (Star/Snowflake schema) and designing architectures that support both historical reporting and real-time needs.</li>
<li>Expert-level proficiency in Snowflake or BigQuery, including performance tuning, cost optimization, and access control (RBAC).</li>
<li>Hands-on experience with Google Cloud Platform services, specifically Cloud Function, Cloud Run for containerized workloads and Cloud Composer for orchestration.</li>
</ul><ul><li>Through hands-on experience of dbt (Data Build Tool) to manage transformations, including writing custom macros, implementing tests, and generating documentation.</li>
<li>Solid experience using Terraform to provision cloud resources, ensuring that infrastructure is version-controlled and reproducible.</li>
<li>Proficiency in GitHub Actions to automate testing and deployment pipelines for data models and infrastructure.</li>
<li>Ability to design high-performance dashboards that prioritize user experience and fast load times.</li>
</ul><ul><li>Experience collaborating with Finance, GTM, and Product to define key metrics (like CAC, LTV, or Churn) and codifying them into the data layer.</li>
<li>Familiarity with data ingestion tools like Fivetran , Airbyte, Workato, Mulesoft to sync data from various SaaS platforms into the warehouse.</li>
</ul><ul><li>Operates as a full-stack Data Engineer with the technical authority to architect and build entire data lifecycles, from raw source ingestion to high-impact data visualization.</li>
<li>Familiarity with business-critical systems like Salesforce, Chargbee, Gainsight, and product analytics tools.</li>
<li>Strong communicator with a track record of working across technical and non-technical teams to drive alignment.</li></ul> 


Preferred Qualifications
<ul>
<li>Experience partnering with IT or Business Technology teams to drive cross-functional outcomes.</li>
<li>Exposure to customer success and revenue workflows, such as onboarding journeys, renewal metrics, or support analytics.</li>
<li>Familiarity with AI/ML pipelines and experimentation frameworks that support data-driven innovation.</li></ul> 

<h2 class="jobSectionHeader">
Perks!</h2>
<ul><li>You'll get to work on a category-leading product that customers love in a fun, high-growth industry! Check our Capterra and G2 reviews.</li>
<li>4 ROLLER Recharge days per year (When we hit our goals each quarter, we take a well-earned day off together to relax, recharge, and celebrate our wins).</li>
<li>Engage in our 'Vibe Tribe' - led by our team members; you can contribute to company-wide initiatives directly. Regular events and social activities, fundraising &amp; cause-related campaigns...you name it. We're willing to make it happen!</li>
<li>Team Member Assistance Program to proactively support our team's health and wellbeing - access to coaching, education modules, weekly webinars, and more.</li>
<li>16 weeks paid Parental Leave for primary carers and 4 weeks paid Parental Leave for secondary carers.</li>
<li>Work with a driven, fun, and switched-on team that likes to raise the bar in all we do!</li>
<li>Individual learning &amp; development budget plus genuine career growth opportunities as we continue to expand!</li></ul> 

<h2 class="jobSectionHeader">
What You Can Expect</h2>
<div><ul><li>Initial call with our Talent Acquisition Manager 
You'll have an initial call with our Talent Acquisition Manager to chat through some of your experience to date, salary expectations and you can check off any initial questions you might have.</li></ul>
<ul><li>Interview with the Hiring Manager 
You'll get to meet with the hiring manager to learn more about the role &amp; ROLLER whilst also talking through your experience in more detail.</li></ul>
<ul><li>Loop Interviews 
This is where you will get to meet our wider ROLLER team to do a 'vibe check' on us to make sure our culture &amp; vibe meet what you are looking for!</li></ul>
<ul><li>Offer 
If all lights are green and the fit feel right, we'll conduct reference checks and you'll receive an offer to join!</li></ul></div></div>

OpenAI

<div>
 
 About The Team
 
 
 
 The Applied team works across research, engineering, product, and design to bring OpenAI&rsquo;s technology to consumers and businesses.
 
 
 We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.
 
 
 
 About The Role
 
 
 
 We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI!
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse.
 </li>
 <li>
 Develop canonical datasets to track key product metrics including user growth, engagement, and revenue.
 </li>
 <li>
 Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions.
 </li>
 <li>
 Implement robust and fault-tolerant systems for data ingestion and processing.
 </li>
 <li>
 Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear.
 </li>
 <li>
 Ensure the security, integrity, and compliance of data according to industry and company standards.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience(including data engineering).
 </li>
 <li>
 Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
 </li>
 <li>
 Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).
 </li>
 <li>
 Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks.
 </li>
 <li>
 Solid understanding of Spark and ability to write, debug and optimize Spark code.
 
 
 </li>
 </ul>
 This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.
 
 
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
 
 Compensation Range: $230K - $385K
</div>

Data Engineer, Analytics

Turo

<div>
 
 About The Team
 
 
 
 Data is our fuel at Turo. It is ever-more abundant and valuable, but it's raw material. Harnessed by data scientists and machine learning engineers, it propels Turo on its mission to put the world&rsquo;s 1.5+ billion cars to better use, delighting our customers with matching the right car for their next adventure from an exceptionally diverse selection, and at the same time helping our marketplace remain safe.
 
 
 In this role, you&rsquo;ll be given the chance to work with cutting-edge technologies to build resilient, scalable systems for collecting and analyzing extensive data sets. Your responsibilities will include creating and managing data pipelines, and reports. If you're detail-oriented and enjoy troubleshooting and delving into data-related problems, this role is a great fit for you.
 
 
 Additionally, you are enthusiastic about gaining in-depth knowledge of the stakeholder domain(s). This involves working closely with multiple teams to thoroughly explore the various aspects of operations, including the functionalities of existing tools and current workflows.
 
 
 
 Strong communication skills and attention to detail are critical to be successful in this role.
 
 
 
 Learn more about our Engineering team here: https://www.beforeyouapply.com/team/engineering-at-turo
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Identify stakeholders&rsquo; data needs, define the project scope, and select the right implementation to address stakeholder pain points.
 </li>
 <li>
 Bridge the gap between the domain requirements and technology during the tool selection process. Your role involves ensuring that the chosen technology aligns with those requirements and the overall domain strategy.
 </li>
 <li>
 Maintaining constant communication with stakeholders regarding project progress, blockers, and expected timelines is crucial.
 </li>
 <li>
 Establish trust with stakeholders by consistently delivering high-quality data sets in a timely manner.
 </li>
 <li>
 Collaborate with stakeholders to continuously automate and improve existing workflows and/or processes.
 </li>
 <li>
 Align with stakeholders regarding their strategic goals and roadmap items on a semi-annual basis.
 </li>
 <li>
 Follow and contribute to best coding practices established by the team.
 </li>
 <li>
 Develop, deploy and maintain workflow management tools such as Airflow, Jenkins etc in cloud environments.
 </li>
 <li>
 Using cloud technology such as AWS, Kubernetes, Docker, Redshift, EMR.
 
 
 </li>
 </ul>
 
 Your Profile
 
 
 
 <ul>
 <li>
 Strong communication skills.
 </li>
 <li>
 Strong track record of delivering data focused projects on time and of high quality.
 </li>
 <li>
 Past experience building data pipelines and micro services.
 </li>
 <li>
 Past experience working with the specific domain is a plus.
 </li>
 <li>
 Strong software engineer who views their code as a craft.
 </li>
 <li>
 Strong experience in Python development.
 </li>
 <li>
 Experience with a workflow manager &mdash; Airflow, Luigi, Jenkins, etc.
 </li>
 <li>
 Experience working with data tools in the public cloud (AWS, GCP, Azure)
 </li>
 <li>
 2-3+ years of relevant experience.
 
 
 </li>
 </ul>
 For this role, the target base salary range in San Francisco is $134,000-$168,000 annually. This role is also eligible for equity and benefits. In general, our ranges reflect the market-based target for new hire salaries based on the level and location of the role. Within the range, individual pay is determined by objective factors assessed during the application and interview process, such as job-related skills, experience, and relevant education or training. We encourage you to talk with your recruiter to learn more about the total compensation and benefits available for this role.
 
 
 
 Turo highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule &mdash; Turists will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Turo considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Turo offers.
 
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary, equity, benefits, and perks for all full-time employees
 </li>
 <li>
 Employer-paid medical, dental, and vision insurance (Country specific)
 </li>
 <li>
 Retirement employer match
 </li>
 <li>
 Learning &amp; Development stipend to invest in your professional development
 </li>
 <li>
 Turo host matching program
 </li>
 <li>
 Turo travel credit
 </li>
 <li>
 Cell phone and internet stipend
 </li>
 <li>
 Paid time off to relax and recharge
 </li>
 <li>
 Paid holidays, volunteer time off, and parental leave
 </li>
 <li>
 For those who are in the office full-time or hybrid we have in-office lunch, office snacks, and fun activities
 
 
 </li>
 </ul>
 We are committed to building a diverse team. If you are from a background that's underrepresented in tech, we'd love to meet you.
 
 
 Aside from an award winning work environment and the opportunity to be part of the world&rsquo;s largest car sharing marketplace, we are also growing the team quickly - join us! Even if you don't meet every qualification, we are looking for people with enthusiasm for what we do and we will consider you for this and other possibilities.
 
 
 
 About Turo
 
 
 
 Turo is the world&rsquo;s largest car sharing marketplace where you can book the perfect car for wherever you&rsquo;re going from a vibrant community of trusted hosts across the US, UK, Canada, Australia, and France. Whether you're flying in from afar or looking for a car down the street, searching for a rugged truck or something smooth and swanky, Turo puts you in the driver's seat of an extraordinary selection of cars shared by local hosts.
 
 
 Discover Turo at https://turo.com, the App Store, and Google Play, and check out our blog, Field Notes.
 
 
 Read more about the Turo culture according to Turo CEO, Andre Haddad.
 
 
 Turo is an Equal Opportunity Employer and a participant in the U.S. Federal E-Verify program. Women, minorities, individuals with disabilities and protected veterans are encouraged to apply. We welcome people of different backgrounds, experiences, abilities and perspectives.
 
 
 Turo will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance, as applicable.
 
 
 We welcome candidates with physical, mental, and/or neurological disabilities. If you require assistance applying for an open position, or need accommodation during the recruiting process due to a disability, please submit a request to People Operations by emailing PeopleOps@turo.com.
 
 
</div>

Software Data Engineer

Aarki

<div>
 
 Who are we?
 
 
 
 Aarki is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. We leverage AI to discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our audience engagement platform includes creative strategy and execution. We handle 5 million mobile ad requests per second from over 10 billion devices, driving performance for both publishers and brands. We are headquartered in San Francisco, CA, with a global presence across the United States, EMEA, and APAC.
 
 
 
 The role?
 
 
 
 We are seeking a motivated and detail-oriented Machine Learning Engineer to join our team. As an ML Engineer, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). You will work closely with Senior MLE and other team members to drive impactful machine learning projects and contribute to innovative solutions.
 
 
 
 What will you do?
 
 
 
 <ul>
 <li>
 Support the development of machine learning models to address challenges in programmatic advertising, such as predicting user responses, forecasting bid landscapes, and detecting fraud.
 </li>
 <li>
 Collaborate with senior data scientists and cross-functional teams (product, engineering, and analytics) to integrate models into production workflows.
 </li>
 <li>
 Analyze the impact of integrating new data sources and features into our models.
 </li>
 <li>
 Build and maintain data pipelines to process and prepare large datasets for model training and evaluation.
 </li>
 <li>
 Contribute ideas and assist in testing new tools, methodologies, and technologies to improve our machine learning capabilities.
 </li>
 <li>
 Document experiments, assumptions, and outcomes; maintain reproducibility
 
 
 </li>
 </ul>
 
 What are we looking for?
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Mathematics, Physics, Computer Science, or a related technical field.
 </li>
 <li>
 At least 2 years of professional experience in machine learning, statistical analysis, and data analysis.
 </li>
 <li>
 Experience with machine learning techniques such as regression, classification, and clustering.
 </li>
 <li>
 Proficiency in Python and SQL and familiarity with big data tools (e.g., Spark) and ML libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).
 </li>
 <li>
 Strong grasp of probability, statistics, and data analysis principles.
 </li>
 <li>
 Ability to work effectively in a team environment, with good communication skills to explain complex concepts to diverse stakeholders.
 
 
 </li>
 </ul>
 Nice-to-Have
 
 
 <ul>
 <li>
 Familiarity with system programming languages including C++ and Rust is a plus.
 </li>
 <li>
 Exposure to online inference systems, gRPC/REST model endpoints, or streaming features (Kafka/Flink)
 </li>
 <li>
 Ad-tech familiarity: auction dynamics, pacing, fraud signals, creative personalization.
 </li>
 </ul>
</div>

Machine Learning Engineer

Glocomms

<div>
 
 
 Software Engineer, Data &amp; Machine Learning
 
 
 
 
 Location:
 
 Remote, United States
 
 
 
 Employment Type:
 
 Full-time
 
 
 
 Compensation:
 
 Starting at $110K
 
 
 
 
 
 We're looking for a Software Engineer, Data &amp; Machine Learning to join a growing engineering team focused on building intelligent, production-grade systems. This role is ideal for an engineer with hands-on experience applying machine learning and deep learning techniques to real-world problems, particularly in areas like computer vision and modern AI models.
 
 
 You'll work closely with other engineers and machine learning practitioners to design, train, and deploy models that operate at scale. This is a hands-on role with meaningful ownership over model development, experimentation, and integration into production systems.
 
 
 
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Design, build, and optimize machine learning models for tasks such as image classification, object detection, or related vision problems
 </li>
 <li>
 Experiment with modern deep learning architectures, including convolutional models and transformer-based approaches
 </li>
 <li>
 Contribute to end-to-end ML workflows, from data preparation and training through evaluation and deployment
 </li>
 <li>
 Analyze large, complex datasets to improve model performance and reliability
 </li>
 <li>
 Write clean, well-documented, production-quality code and contribute to shared ML tooling and infrastructure
 </li>
 <li>
 Partner with cross-functional engineering teams to integrate models into live systems
 </li>
 <li>
 Stay current with emerging techniques in machine learning and applied AI
 </li>
 </ul>
 
 
 
 
 Qualifications
 
 <ul>
 <li>
 2-5 years of experience in Software Engineering, Machine Learning, or a related field
 </li>
 <li>
 Strong proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or similar
 </li>
 <li>
 Hands-on experience with deep learning models, particularly in computer vision
 </li>
 <li>
 Solid understanding of supervised learning, model evaluation, and core ML concepts
 </li>
 <li>
 Experience with version control and modern development workflows
 </li>
 <li>
 Ability to work effectively in a collaborative, remote-friendly environment
 </li>
 <li>
 Strong problem-solving skills and a curiosity-driven mindset
 </li>
 <li>
 
 Permanent work authorization in the United States is required
 
 </li>
 </ul>
 
 
 
 
 Nice to Have
 
 <ul>
 <li>
 Exposure to transformer-based models or multimodal systems (e.g., vision + language)
 </li>
 <li>
 Familiarity with cloud platforms and containerized environments
 </li>
 <li>
 Experience supporting or deploying models in production
 </li>
 <li>
 Background working with experimentation, model tracking, or reproducible ML pipelines
 </li>
 <li>
 Interest in applying ML techniques to high-impact, real-world use cases
 </li>
 </ul>
 
 Compensation &amp; Benefits
 
 <ul>
 <li>
 Base salary starting at $110K
 </li>
 <li>
 Equity participation
 </li>
 <li>
 Comprehensive benefits package
 </li>
 <li>
 Fully remote role within the United States
 </li>
 <li>
 Emphasis on ownership, technical growth, and modern engineering practices
 </li>
 </ul>
 
 
 
 
 Location Notes
 
 
 This role is fully remote, but candidates must be based in San Francisco, New York City area, Seattle, Miami, or Austin, TX. The company is building teams in selective talent hubs to maintain convenient access to in-person collaboration when needed and to reduce exposure to future return-to-office mandates.
 
 
 
 
 
 At this time, the employer is unable to provide visa sponsorship or support visa transfers. Candidates must already have permanent work authorization in place.
 
</div>

Data Scientist, Computer Vision

Middesk

<div>About Middesk
Middesk makes it easier for businesses to work together. Since 2018, we&rsquo;ve been transforming business identity verification, replacing slow, manual processes with seamless access to complete, up-to-date data. Our platform helps companies across industries confidently verify business identities, onboard customers faster, and reduce risk at every stage of the customer lifecycle.
Middesk came out of Y Combinator, is backed by Sequoia Capital and Accel Partners, and was recently named to Forbes Fintech 50 List and cited as an industry leader in business verification by digital identity strategy firm, Liminal.
About Middesk Engineering:
Middesk is, at its core, a data company. We live by the quality of our data assets and the engine that powers them. We&rsquo;re on a mission to build a comprehensive and complete business dataset for every business in the world. As part of the Data Platform team at Middesk, you&rsquo;ll collaborate with Data Science, Infrastructure and Product Engineering teams to build and maintain our own proprietary Entity Resolution system used to power the Middesk business identity platform, scaling our system to resolve millions of business identities across hundreds of data sources and thousands of distinct data sets. You&rsquo;ll often work with and support product engineers looking to launch new products and features.
The Role:
We're looking for a senior engineer to own and drive the technical direction of our data platform. You'll design data infrastructure systems that operate reliably at scale, define the architecture for how we acquire, transform, and serve data to product teams, and partner closely with engineering leadership to align platform strategy with company priorities.
You'll be expected to independently scope complex projects from ambiguous problem statements, break them into incremental deliverables, and drive them to completion while keeping stakeholders informed and adapting when priorities shift. You'll also play a key role in elevating the engineering practices of the team through mentorship, code review, and setting technical standards.
What You'll Do:<ul><li>
Own platform architecture and technical direction for how we ingest, transform, and serve data across highly variable input formats - business entity data sourced from thousands of government agencies, registries, and third-party providers, each with its own schema, cadence, and reliability profile</li><li>
Design and build systems for scale - both the infrastructure we need today and the infrastructure we'll need at 2&ndash;5x our current volume</li><li>
Scope and drive complex projects end-to-end, breaking ambiguous problems into well-defined milestones with clear deliverables and timelines</li><li>
Design AI-powered tooling to improve how we acquire and maintain data using LLMs, AI agents, and agent orchestration</li><li>
Partner with product engineering, data science, and business teams to understand data needs and translate them into platform capabilities</li><li>
Establish and maintain data governance and quality standards across the platform, ensuring the integrity and reliability of the data our customers depend on for compliance and risk decisions</li></ul>
What We&rsquo;re Looking For:<ul><li>
7+ years of professional software engineering experience, with meaningful time spent on data infrastructure, data engineering, or backend platform work (targeting Senior to Staff Level Engineers)</li><li>
Experience designing and operating systems at meaningful scale, ideally within a larger or rapidly scaling engineering organization</li><li>
Track record of independently owning and delivering complex, multi-milestone projects - from scoping through launch</li><li>
Strong data modeling instincts and deep familiarity with SQL, pipeline orchestration (Airflow, Dagster, etc.), and data transformation patterns</li><li>
Experience with distributed data processing frameworks (Spark, Flink, Beam, or similar) and an understanding of when and how to apply parallelization to scale pipelines beyond single-node limits</li><li>
Proficiency in one or more of: Python, Ruby, JavaScript/TypeScript, Java</li></ul>
Nice to Haves:<ul><li>
Experience working with or building AI/LLM-powered tooling or data products (strongly preferred)</li><li>
Experience with scraper technologies, including agentic AI</li><li>
Experience building and designing collections stored on Elasticsearch</li><li>
Experience operating event-driven data pipelines using serverless compute (e.g., AWS Lambda, Google Cloud Functions, Azure Functions) and managed cloud services</li><li>
Experience with Terraform, Datadog, or Kubernetes</li></ul>
Compensation Range: $205K - $275K</div>

Software Engineer, Data Platform

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