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senior software engineer

senior data engineer

Plum Inc

<div><p>PLUM is a fintech company empowering financial institutions to grow their business through a cutting-edge suite of AI-driven software, purpose-built for lenders and their partners across the financial ecosystem. We are a boutique firm, where each person&rsquo;s contributions and ideas are critical to the growth of the company.</p><p>
This is a fully remote position, open to candidates living in the U.S. with a reliable internet connection. While we gather in person a few times a year, this role is designed to remain remote long-term. You will have autonomy and flexibility in a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. You'll collaborate with a high-performing team &mdash; including sales, marketers, and financial services experts &mdash; who stay connected through Slack, video calls, and regular team and company-wide meetings. We&rsquo;re a team that knows how to work hard, have fun, and make a meaningful impact&mdash;both together and individually.</p><h3 class="jobSectionHeader"><b>
Job Summary</b></h3><p>
We are seeking a candidate with experience as, or applicable to, a Senior Data Engineer role with significant demonstrated experience using Python in a cloud environment to lead the design and implementation of scalable data pipelines that ingest and process data from a variety of external client systems. The Senior Data Engineer is critical in building the data infrastructure that powers Plum&rsquo;s next-generation AI-driven products.</p><p>
You will work with a modern data stack including Python, Databricks, AWS, Delta Lake, and more. As a senior member of the team, you&rsquo;ll take ownership of architectural decisions, system design, and production readiness&mdash;working with team members to ensure data is reliable, accessible, and impactful.</p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul>
<li>Design and architect end-to-end data processing pipelines: ingestion, transformation, and delivery to the Delta Lakehouse.</li>
<li>Integrate with external systems (e.g., CRMs, file systems, APIs) to automate ingestion of diverse data sources.</li>
<li>Develop robust data workflows using Python and Databricks Workflows.</li>
<li>Implement modular, maintainable ETL processes following SDLC best practices and Git-based version control.</li>
<li>Contribute to the evolution of our Lakehouse architecture to support downstream analytics and machine learning use cases.</li>
<li>Monitor, troubleshoot, and optimize data workflows in production.</li>
Collaborate with cross-functional teams to translate data needs into scalable solutions.<br>
<li>
</li></ul><p><b>Requirements</b></p><ul>
<li>
Bachelor's Degree in Computer Science, Engineering, Physics, or a related technical field or equivalent work experience.</li>
<li>2+ years of experience using Python building and maintaining production-grade data pipelines in a cloud environment.</li>
<li>Proven expertise in Python and SQL for data engineering tasks.</li>
<li>Strong understanding of lakehouse architecture and data modeling concepts.</li>
<li>Experience working with Databricks, Delta Lake, and Apache Spark.</li>
<li>Hands-on experience with AWS cloud infrastructure.</li>
<li>Track record of integrating data from external systems, APIs, and databases.</li>
<li>Strong problem-solving skills and ability to lead through ambiguity.</li>
Excellent communication and documentation habits.<br>
<li>
</li></ul><h3 class="jobSectionHeader"><b>Preferred Qualifications</b></h3><ul>
<li>Masters in Computer Science, Engineering, Physics or related field.
</li><li>Experience building data solutions in Fintech, Sales Tech, or Marketing Tech domains.</li>
<li>Familiarity with CRM platforms (e.g., Salesforce, HubSpot) and CRM data models.</li>
<li>Experience using ETL tools such as Fivetran or Airbyte.</li>
<li>Understanding of data governance, security, and compliance best practices.</li>
</ul><p><b>
Benefits</b></p><ul>
<li>
A fast-paced, collaborative startup culture with high visibility.</li>
<li>Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action.</li>
<li>Opportunity to make a meaningful impact in building a company and culture.</li>
<li>Equity in a financial technology startup.</li>
<li>Generous health, dental, and vision coverage for employees and family members + 401K.</li>
<li>Eleven paid holidays and unlimited discretionary vacation days.</li>
<li>Competitive compensation and bonus potential.</li>
</ul><p></p><p>
Interview Process:
</p><p>Plum is an organization who counts on the contributions and ideas from every member of our team. Our interview process may include a phone screen, a video call and a live project. While we understand one may use AI to develop a resume, we expect you to bring your authentic self during our interviews, and we may disqualify candidates who use bots or AI to contribute to their answers. We are looking for not only skill, but also a desire to learn and thrive with Plum. Please advise us of any accommodations you may need prior to your call and we will do all we can to accomodate you.
</p><p></p><ul><li>We are not accepting outreach or resumes from external recruiters. We are only accepting qualified eligible applicants directly for consideration. Any candidates submitted from agencies or recruiters will be considered a gift.</li></ul></div>

Senior Data Engineer

Uber

<div><b>About the Role</b>
<br>
<br>
The Mobility Simulation &amp; Planning (MSP) Platform team builds the systems that power pricing and incentive budget planning across Uber's global marketplace. As part of this team, you'll help design and scale the core platform that drives billions in marketplace spend decisions, directly influencing rider affordability and driver earnings. You'll collaborate with Product, Science, and Operations to solve complex technical challenges offering you a unique opportunity to grow as a software engineer while making a measurable business impact at global scale.<br>
- What You Will Do -<br>
<ul><li>
Partner with Engineering, Product, and Operations to define requirements, design data models, and deliver reliable production solutions.</li><li>
Design and build scalable, efficient data pipelines and frameworks to power large-scale decision systems and model infrastructure .</li><li>
Drive improvements in data quality, reliability, and observability, ensuring data systems scale with Uber's business needs.</li><li>
Lead initiatives to modernize data workflows from data orchestration (Airflow, Temporal) to distributed processing (Spark, Ray etc).</li><li>
Mentor engineers and contribute to establishing best practices for data design, governance, and performance.</li></ul><br>
- Basic Qualifications -<br>
<ul><li>
Bachelor's degree (or equivalent) in Computer Science, Engineering, or a related field</li><li>
4+ years of experience in data engineering or backend development</li><li>
Strong SQL and data modeling skills</li><li>
Hands-on experience with distributed data frameworks (Spark, Flink, Ray, Beam etc)
</li><li>Proficiency in at least one programming language (Python, Go, or Java etc)</li><li>
Experience building scalable ETL pipelines and working with modern data infrastructure (Hive, Presto, BigQuery, Snowflake, etc.)</li></ul><br>
- Preferred Qualifications -<br>
<ul><li>
6+ years of experience designing and operating large-scale data systems in production</li><li>
Deep understanding of data warehousing, system performance, and optimization</li><li>
Proven ability to drive complex projects, influence cross-functional teams, and mentor peers</li><li>
Self-driven and passionate about scalability, automation, and system efficiency</li><li>
Familiarity with workflow orchestration frameworks (eg:- Airflow, Temporal etc) is a plus</li></ul><br>
<br>
<br>
<br>
For New York, NY-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.</div>

Fox Corporation

<div><div>OVERVIEW OF THE COMPANY</div>
Fox Corporation<div></div>
Under the FOX banner, we produce and distribute content through some of the world&rsquo;s leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.<div></div><div>
JOB DESCRIPTION</div><div>
The Staff Data Engineer serves as a technical and strategic leader responsible for building, optimizing, and governing the company&rsquo;s data and analytics ecosystem.</div><div><br>
This includes designing robust data pipelines, developing semantic layers and metrics frameworks, and ensuring that business intelligence platforms deliver trusted, consistent, and timely insights.</div><div></div><div>
In this role, you will bridge the gap between raw data and business outcomes &mdash; enabling teams across Content, Ad Sales, Marketing, and Finance to make data-driven decisions at scale.<br>
<br>
A SNAPSHOT OF YOUR RESPONSIBILITIES</div><ul><li><div>
Design and build scalable ETL/ELT pipelines using tools like Databricks, DBT, Matillion, and Airflow to process structured and unstructured data.</div></li><li><div>
Develop data models and transformations for analytics use cases (star schema, data vault, or lakehouse).</div></li><li><div>
Optimize data processing for performance, reliability, and cost efficiency across Databricks, Redshift, and Snowflake environments.</div></li><li><div>
Implement real-time and batch data ingestion from streaming, ad tech, and operational systems.</div></li></ul><ul><li><div>
Lead the design and development of semantic layers that power business reporting (Looker, Tableau, Power BI, or ThoughtSpot).</div></li><li><div>
Establish metrics standardization and a unified business glossary to ensure consistent definitions across departments.</div></li><li><div>
Build automated data models, dashboards, and data marts for stakeholders such as Ad Sales, Research, and Content Strategy.</div></li><li><div>
Partner with Analytics and Finance teams to deliver executive-level reporting (KPI frameworks, performance scorecards, and forecasting inputs).</div></li><li><div>
Implement BI performance optimization: caching, query tuning, and dashboard load improvements.</div></li></ul><ul><li><div>
Enforce data validation, lineage, and observability frameworks using tools like Great Expectations, Monte Carlo, or Databricks Unity Catalog.</div></li><li><div>
Ensure all datasets and dashboards meet governance, compliance, and privacy standards (GDPR, CCPA, internal policies).</div></li><li><div>
Define data quality SLAs and implement automated monitoring for critical pipelines and BI assets.</div></li><li><div>
Drive adoption of metadata management, documentation, and versioning best practices across data and BI environments.</div></li></ul><ul><li><div>
Partner with Product, Finance, AdTech, and Data Science teams to translate business requirements into scalable data and BI solutions.</div></li><li><div>
Collaborate with BI developers, analysts, and data scientists to ensure models and datasets are optimized for analytics and experimentation.</div></li><li><div>
Serve as the technical liaison between the Data Engineering and Analytics teams, ensuring efficient data flow and model usability.</div></li><li><div>
Participate in data design reviews, architecture sessions, and governance boards to align technical decisions with business priorities.</div></li></ul><ul><li><div>
Define the technical roadmap for data and BI engineering, aligning with enterprise data strategy and architecture.</div></li><li><div>
Mentor engineers and analysts on best practices for SQL optimization, data modeling, and visualization design.</div></li><li><div>
Champion data democratization &mdash; empowering users through self-service capabilities and well-structured data models.</div></li><li><div>
Evaluate emerging technologies (semantic layer tools, AI-powered analytics, agentic data automation) to advance the BI ecosystem.</div></li></ul><div></div><div>
WHAT YOU WILL NEED</div><ul><li><div>
8+ years of experience in Data Engineering, BI Engineering, or Data Architecture roles.</div></li><li><div>
Expert in SQL, Python, and Spark (PySpark or Scala).</div></li><li><div>
Hands-on experience with Databricks, Redshift, Snowflake, or BigQuery.</div></li><li><div>
Proficiency with data modeling (fact/dimension, star schema, lakehouse).</div></li><li><div>
Experience with workflow orchestration tools (Airflow, Dagster, or Prefect).</div></li><li><div>
Advanced understanding of BI tools &mdash; Looker (LookML), Tableau, Power BI, or equivalent.</div></li><li><div>
Familiarity with semantic modeling, data marts, and metrics governance.</div></li><li><div>
Solid experience with version control (Git), CI/CD for data, and testing frameworks.</div></li><li><div>
Proven ability to balance engineering depth with analytical accessibility &mdash; building systems that both scale and empower non-technical users.</div></li></ul><ul><li><div>
Experience in media, streaming, or digital advertising data ecosystems.</div></li><li><div>
Familiarity with ad delivery data (Freewheel, Google Ad Manager, Innovid) and audience metrics (Nielsen, Comscore).</div></li><li><div>
Understanding of machine learning feature pipelines or real-time audience segmentation.</div></li><li><div>
Experience implementing DBT Cloud, Databricks Unity Catalog, or ThoughtSpot Modeling Language (TML).</div></li><li><div>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related quantitative field.</div></li></ul><div></div><div>
#Ll-CC1</div><div>
#Ll-Hybrid</div><div></div><div>
Learn more about Fox Tech at <div>https://tech.fox.com</div></div>
#foxtech<div></div><div><i>
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.</i></div><div></div>
Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $160,000.00-198,000.00 annually. This role is also eligible for an annual discretionary bonus, various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.<div></div><div><div>
View more detail about FOX Benefits.</div></div></div>

Staff Data Engineer

MLabs

<div>
 <strong>
  Location:
 </strong>
 Williamsburg, Brooklyn, NYC (100% On-site)
 <br/>
 <br/>
 <strong>
  Compensation:
 </strong>
 $150,000 - $225,000 (Base Salary) + Competitive Equity
 <br/>
 <br/>
 We are building the future of digital advertising, transforming the $600B ecosystem by enabling brands to buy creator media like they buy Meta or Google ads. Our
 <strong>
  AI-native platform
 </strong>
 delivers performant, scalable, and authentic creator-led marketing, compressing weeks of manual sponsorship work into seconds. Backed by top-tier VCs and named to Forbes' list of Next Billion Dollar Startups, we are seeking a
 <strong>
  Senior Software Engineer
 </strong>
 to join as a foundational member of the engineering team.
 <br/>
 <br/>
 As a Senior Software Engineer, you will work directly with our founders, designing, building, and launching new product features from the first line of code to production. You will have significant autonomy and ship real functionality every week, tackling complex engineering problems that directly shape our product and business outcomes.
 <br/>
 <br/>
 <strong>
  In this role, you will:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Full-Stack Feature Ownership: Design, build, and launch high-quality, maintainable products across the entire stack, from the client to the server, using React/Next.js for the frontend and Python/Django/Postgres for the backend
  </li>
  <li>
   Complex Problem Solving: Tackle complex challenges in marketplace design, multimodal content understanding with large models (AI), and high-performance campaign optimization
  </li>
  <li>
   Architectural Influence: Contribute to major technical decisions, ensuring systems are scalable, performant, and reliable in a high-growth environment
  </li>
  <li>
   Rapid Execution: Move with speed and efficiency, delivering functional features weekly with full autonomy over project planning and execution
  </li>
  <li>
   Business Impact: Work in an environment where technical decisions directly shape product direction and business outcomes, redefining the infrastructure for creator-led performance media
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience: 4+ years of experience as a strong generalist software engineer building and scaling high-quality, maintainable products from the client to the server
  </li>
  <li>
   Full-Stack Proficiency: Experience with our core tech stack: React/Next.js for the client and Python/Django/Postgres for the backend
  </li>
  <li>
   Environment: Experience in early-stage or high-growth startup environments, comfortable with fast execution and high ownership
  </li>
  <li>
   System Design: Ability to tackle and architect solutions for complex engineering problems, including marketplace dynamics and high-performance systems
  </li>
  <li>
   AI Familiarity: Experience or strong excitement for working with AI, large models, and multimodal content understanding in a production setting
  </li>
  <li>
   Mindset: Excited by ownership, fast execution, and driving real-world impact at a generational company
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Equity &amp; Compensation: Competitive salary ($150,000 - $225,000) and a competitive equity package for an early-stage company backed by Benchmark and Craft
  </li>
  <li>
   Impact &amp; Ownership: Rare opportunity to get in early and redefine a $600B digital ad market alongside the founders
  </li>
  <li>
   Work Policy: 100% On-site work in our office in Williamsburg, Brooklyn, NYC to foster deep collaboration
  </li>
  <li>
   Office Perks: Lunch provided 3 days/week (Mondays, Wednesdays, and Fridays)
  </li>
  <li>
   Unique Perk: Employees receive a $100 monthly allowance to spend on the company's brand clients (e.g., Uber, DoorDash, Bombas) while using the company's product
  </li>
  <li>
   Health: Comprehensive healthcare coverage including medical, dental, and vision
  </li>
  <li>
   Retirement: 401K plan
  </li>
  <li>
   Visa Support: Visa sponsorship is not available for this position
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
  <br/>
  <br/>
 </strong>
 <strong>
  Commitment to Equality and Accessibility:
  <br/>
  <br/>
 </strong>
 At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.
 <br/>
 <br/>
 MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.
</div>


Senior Software Engineer

Stepful

<div>
 <strong>
  About Stepful
  <br/>
  <br/>
 </strong>
 Stepful is reimagining allied healthcare training by offering affordable, online, instructor-led, and AI-supported programs that help learners&mdash;especially those from underserved communities&mdash;launch high-demand healthcare careers.
 <br/>
 <br/>
 In addition to our direct-to-consumer training, Stepful partners with leading healthcare institutions to build talent pipelines and address the growing shortage of allied health workers. Our graduates, including Medical Assistants, Pharmacy Technicians and more, go on to work at major employers like CVS, NY-Presbyterian, and Walgreens.
 <br/>
 <br/>
 Stepful is backed by Y Combinator, Reach Capital, and AlleyCorp, with a recent $31.5M Series B led by Oak HC/FT. Additionally, we were named the #1 EdTech company in the U.S. by TIME for 2025 and to GSV's 150 Most Transformational Growth Companies in Digital Learning.
 <br/>
 <br/>
 We&rsquo;re unlocking the full potential of the global workforce&mdash;improving access to quality healthcare for everyone, everywhere.
 <br/>
 <br/>
 <strong>
  Our Values
  <br/>
  <br/>
 </strong>
 We credit much of our success to our exceptional team. We&rsquo;re looking for mission-driven individuals who thrive in fast-paced, sometimes ambiguous environments, and embody our four core values:
 <br/>
 <br/>
 <strong>
  Care first
 </strong>
 : We do whatever it takes for our students to succeed.
 <br/>
 <br/>
 <strong>
  Learn quickly
 </strong>
 : We test, learn with data, and iterate.
 <br/>
 <br/>
 <strong>
  Build together
 </strong>
 : We win when we rely on each other.
 <br/>
 <br/>
 <strong>
  Own it
 </strong>
 : We show up, take initiative, and show pride.
 <br/>
 <br/>
 <strong>
  What You Can Expect To Be Working On
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   World Class Learning Experience: Develop and iterate on an advanced Learning Management System that generates outcomes! Focus on seamless UX, adaptive learning, peer-to-peer engagement, gamification and motivational mechanisms.
  </li>
  <li>
   Innovative Career Services: Empower graduates to find jobs and match our growing network of clinical partners. Apply generative AI to the job-seeking process, from resume generation to interview training.
  </li>
  <li>
   Empower the Internal Workforce: Design and maintain platforms for instructors, TAs, coaches, and operators to optimize student success. Leverage generative AI to maximize its impact on students' lives.
  </li>
  <li>
   Cutting Edge Content Management: Generate and maintain content at scale that adapts to evolving educational needs. Build the technology to create new curricula in a fraction of the time and iterate to maxixmize students' learning.
  </li>
  <li>
   Data Pipelines: Make data reliable and accessible to everyone at Stepful, and empower the business, learning, and operation teams at Stepful to make data-driven decisions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  This Job Is For You If You Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of full-stack engineering experience
  </li>
  <li>
   Eat, sleep and breathe at least one of part of our stack (React, Typescript, Ruby on Rails, PostgreSQL), you will learn the rest
  </li>
  <li>
   Relentlessly obsess over solving complex problems with cutting-edge technology and willing to learn something new every day
  </li>
  <li>
   Find excitement in joining an early-stage company and are not afraid of building something new
  </li>
  <li>
   Are strongly driven to make an impact in people's lives
  </li>
  <li>
   Have built something meaningful to you, before
  </li>
  <li>
   Can take ownership of the whole development lifecycle (this means you are comfortable operating full-stack)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus Points If
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You have previous experience in a direct-to-consumer startup, especially within EdTech/Healthcare
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Interview Process
  <br/>
  <br/>
 </strong>
 Step 1: Intro Call with Talent Acquisition
 <br/>
 <br/>
 Step 2: Non-technical interview with Hiring Manager
 <br/>
 <br/>
 Step 3: Fullstack Live Coding (remote)
 <br/>
 <br/>
 Step 4: Onsite interview with both technical and non-technical assessment
 <br/>
 <br/>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 New Hire Base Salary Bands:
 <br/>
 <br/>
 Engineer I - $127,000-$161,000
 <br/>
 <br/>
 Engineer II - $142,000-$180,000
 <br/>
 <br/>
 Senior I - $157,000-$198,000
 <br/>
 <br/>
 Senior II - $172,000-$218,000
 <br/>
 <br/>
 Staff I - $188,000-$238,000
 <br/>
 <br/>
 Please note we do not have a bonus structure at this time so all cash compensation will come in the form of base salary. The total compensation package will also include our benefits package and an equity (ISOs) package.
 <br/>
 <br/>
 Compensation for this role will fall within the pay range listed and will be determined based on job-related factors including, but not limited to, skills, experience, qualifications as well as interview evaluation. Ranges are market-dependent and may be modified in the future.
 <br/>
 <br/>
 <strong>
  Stepful is proud to be an equal opportunity employer
 </strong>
 . We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic.
 <br/>
 <br/>
</div>


Software Engineer

Spotify

<div><div><div><div><div><div>Engineering</div></div></div><div><div>
Machine Learning</div></div></div><div><div>
Permanent</div></div><div><div>
New York</div></div><div><div>
Our mission on the Advertising Product &amp; Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators.</div></div><div><div><div><br>
</div><div>We are seeking a Senior Machine Learning Engineer to join the Ad Engagement squad. Ad Engagement focuses on using machine learning to accurately predict how Spotify listeners will react to ads, helping advertisers minimize their costs while delivering a more relevant and enjoyable ad experience for listeners. Our core innovations include Multi-Task Learning models (MTL), and we are expanding into scalable sequence modeling with complex transformer architectures. Recently, we presented a paper about this in KDD Toronto and you can check out the latest details in the blog post here.</div><div><br>
</div><div>We are also seeking a Senior Machine Learning Engineer to join the Supply Personalization squad. Supply Personalization focuses on optimizing the volume, timing, and types of ad loads a user receives. By leveraging data, machine learning, causal inference, and large scale online experimentation, we aim to uncover and learn the most effective strategies for enhancing user experiences and driving business outcomes.</div><div><br>
</div><div>We are looking for someone with strong expertise in data analysis, online experimentation techniques, and large-scale ML and engineering systems; someone who is motivated by user and business problems as much as they are by technical problems, and who thrives under ambiguity, experimentation, and iteration. You will work directly on an array of product features that drive the optimal user experience for our ads. You will collaborate with our cross-functional teams to ideate, develop, and own complex technical solutions on our ad services technology platforms. As someone who shares our passion for building innovative ad experiences, you'll have a direct impact on how the world uses Spotify.</div></div></div></div><div><div><p>
What You'll Do</p><ul><li>
Design and implement machine learning systems for ad performance optimization.
</li><li>Research and apply ML optimization strategies to balance multiple objectives effectively.</li><li>
Work on a paradigm shift modeling work for Ads that involves working on Sequence Transformer model for User-Ad Interaction, that works along a MTL model</li><li>
Analyze data and use machine learning techniques to understand user behavior and improve ad experiences.</li><li>
Collaborate with backend engineers, data scientists, data engineers, and product managers to establish baselines, inform product decisions, and develop new technologies.</li></ul></div></div><div><div><p>
Who You Are</p><ul><li>
You have professional experience in applied machine learning.</li><li>
You have strong technical expertise in software engineering, data analysis, and machine learning.</li><li>
You are proficient in programming languages such as Python, Java, or Scala.</li><li>
Experienced in Tensorflow or PyTorch and working with various aspects of the ML lifecycle</li><li>
You have expertise in developing data pipelines using tools like Apache Beam or Spark.</li><li>
As a plus, you may have experience with any of the following - LLMs, Ray, Adtech, or Recommender Systems.</li></ul></div></div><div><div><p>
Where You'll Be</p><ul><li>
We offer you the flexibility to work where you work best! For this role, you can be within the Americas region as long as we have a work location.</li><li>
This team operates within the U.S. Eastern time zone for collaboration.</li></ul></div></div><div><div><p>
Learn about life at Spotify</p></div><div><div>
The United States base range for this position is $176,166.00 - $251,666.00, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.</div><div></div><div><br>
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what&rsquo;s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It&rsquo;s in our differences that we will find the power to keep revolutionizing the way the world listens.</div><div></div><div><br>
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we&rsquo;re here to support you in any way we can.</div><div></div><div><br>
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world&rsquo;s most popular audio streaming subscription service.</div></div></div><div></div><div><div><p><br>
Our global benefits</p></div><div></div><div><div>
Extensive learning opportunities, through our dedicated team, GreenHouse.</div></div><div></div><div><div>
Flexible share incentives letting you choose how you share in our success.</div></div><div></div><div><div>
Global parental leave, six months off - for all new parents.</div></div><div></div><div><div>
All The Feels, our employee assistance program and self-care hub.</div></div><div></div><div><div>
Flexible public holidays, swap days off according to your values and beliefs.</div></div></div></div><div></div>

Senior Machine Learning Engineer, Ads R&D

Parsons

<div>In a world of possibilities, pursue one with endless opportunities. Imagine Next!<br>
<p></p>At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what&rsquo;s possible.<br>
<p></p><p><b>Job Description:
</b></p><p><b>Position Overview:<br>
</b></p><p><br>
At Parsons, we tackle the world&rsquo;s toughest transportation challenges with innovation and expertise. As a <b>Senior Transportation Engineer </b>, you will complete a wide variety of complex engineering assignments, applying advanced techniques and analyses within your discipline. This position requires a fully qualified professional proficient in engineering theories and practices, including CAE (computer-aided engineering) and CAD (computer-aided design) applications. Travel or relocation to supplier, client, or construction site locations may be required.
</p><p></p><p><b>What You'll Be Doing:
</b></p><ul><li><p>Perform complex engineering tasks and critical assignments efficiently and accurately.
</p></li><li><p>Extract engineering information from CAD drawings.
</p></li><li><p>Prepare engineering computations, material quantity takeoffs, estimates, surveys, and designs.
</p></li><li><p>Complete a variety of deliverables, such as drawings, specifications, and other materials suitable for procurement and construction purposes.
</p></li><li><p>Interface frequently with other engineering disciplines and departments.
</p></li><li><p>Prepare detailed requisitions for equipment and materials.
</p></li><li><p>Review supplier drawing submittals and perform technical bid analyses.
</p></li><li><p>Prepare and issue specifications, data sheets, and other construction documents.
</p></li><li><p>Provide technical guidance to CAD Designer/Drafters, Designers, and junior Engineers working on the same project.
</p></li><li><p>Provide the seal and signature of a professional engineer, as required, ensuring compliance with applicable codes, regulations, and ordinances.
</p></li><li><p>Act in an advisory capacity to senior management on engineering-related matters.
</p></li><li><p>Perform other responsibilities as required by the position.
</p></li></ul><p></p><p><b>What Required Skills You'll Bring:
</b></p><ul><li><p>4-year degree in Engineering (or related field).
</p></li><li><p>8-10 years of related work experience.
</p></li><li><p>Professional Engineer (PE) registration may be required.
</p></li></ul><p></p><p><b>What Desired Skills You'll Bring:
</b></p><ul><li><p>Proficiency in utilizing CAD and other PC software packages commonly associated with engineering.
</p></li></ul><p></p><p><b>Why Parsons?<br>
</b></p><p><br>
Parsons is a global leader in transportation solutions, committed to delivering innovative and sustainable infrastructure projects. We foster a culture of collaboration, growth, and excellence. Join us to make a meaningful impact on the communities we serve.
</p><p></p><p><b>Ready to Join Us?
</b><br>
Apply today and help us shape the future of transportation.
</p><p>Let me know if you need further adjustments or additional details!
</p><p></p><p><b>Security Clearance Requirement:
</b></p>None
<p></p>This position is part of our Critical Infrastructure team.
<p></p>For more than 80 years, our experts have designed and delivered the critical infrastructure that connects and protects communities around the world. We work in collaborative teams, both within the company and with our partners and customers, to plan, design, build, and modernize infrastructure. We take special pride in projects and solutions that improve communities as well as people&rsquo;s quality of life by promoting economic growth, enhancing mobility, and increasing sustainability and resiliency. Powered by our people, we provide the imagination necessary to support our customers&rsquo; visions&mdash;and to help them see what's next!
<p></p>Salary Range: $86,700.00 - $151,700.00
<p></p>We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, Employee Stock Ownership Plan (ESOP), 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!
<p></p>This position will be posted for a minimum of 3 days and will continue to be posted for an average of 30 days until a qualified applicant is selected or the position has been cancelled.
<p></p>Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.
<p></p>We truly invest and care about our employee&rsquo;s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest&mdash;APPLY TODAY!
<p></p><p>Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/ .</p></div>

Senior Transportation Engineer

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