software engineer

senior data engineer

full stack engineer (ai) Jobs in New York

full stack engineer (ai)

lead software engineer

senior software engineer Jobs in New York

senior software engineer

senior stack 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

Spotify

<div><div><div><div><div><div>Engineering</div></div></div></div><div><div>
Permanent</div></div><div><div>
New York</div></div><div><div>
On the Personalization Team, we seek to understand the world of music and podcasts better than anyone else so that we can make great recommendations to every individual person and keep the world listening. Everyday, hundreds of millions of people all over the world use the products we build which include destinations like &ldquo;Home&rdquo; and &ldquo;Search&rdquo; as well as original playlists such as &quot;Discover Weekly&quot; and &ldquo;Daily Mix.&rdquo; We're a team of technologists, product insight experts, designers, and product managers in Boston, New York, Stockholm, and London.</div></div><div><div><div><br>
</div><div>As a Backend Engineer with data engineering experience, you will closely collaborate with our internal customers to determine the best API and backend system design to meet their scalability needs. In this role, you&rsquo;ll help craft our data strategy and build the systems that power smarter, more intuitive features across Spotify. You'll bring your expertise in building scalable, reliable backend services while also applying modern data engineering practices&mdash;such as data quality, monitoring, and reproducibility&mdash;to support ML-powered recommendations and user-facing experiences. Above all, your work will impact the way the world experiences music.</div></div></div></div><div><div><p>
What You'll Do</p><ul><li>
Architect, develop, and operate scalable and highly available distributed systems.</li><li>
Collaborate with internal stakeholders to design scalable backend systems and data pipelines that power ML-based music recommendations and personalized experiences.</li><li>
Partner with ML, Data, and Backend Engineers to improve the reliability, observability, and efficiency of our data and backend stack.</li><li>
Advocate for modern engineering practices&mdash;e.g., data quality, monitoring, reproducibility&mdash;across the team and broader org.</li><li>
Contribute to strategic decisions around data architecture and technical direction.</li><li>
Work on what you want during regular hack days and bi-annual hack weeks.</li></ul></div></div><div><div><p>
Who You Are</p><ul><li>
You have proven experience in backend and data engineering, including building scalable services, reliable data pipelines, and robust data platforms.</li><li>
You possess a strong understanding of data systems, distributed systems, and cloud-based infrastructure (e.g., Google Cloud Platform), and are comfortable working with large datasets using tools such as SQL and BigQuery.</li><li>
You collaborate effectively with ML, Data, and Backend teams, and understand the challenges of supporting ML models in production environments.</li><li>
You take initiative to improve systems, mentor peers across disciplines, and drive technical decisions independently.</li><li>
You prioritize code quality, data observability, and monitoring, and have experience working directly with stakeholders to build scalable, reusable APIs and systems.</li><li>
You thrive in fast-paced environments that value experimentation, iteration, and continuous learning.</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 North America region as long as we have a work location.</li><li>
This team operates within the Eastern Standard 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 $125,300 - $179,000 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. 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><p>
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 Backend/Data Hybrid Engineer, GenRecs, Personalization

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

<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>
We&rsquo;re part of Spotify&rsquo;s Podcast Mission, focused on giving podcast creators tools to grow their audiences and connect more deeply with listeners. The team is building the systems that power interactive podcast experiences, enabling everything from polls, comments, and Q&amp;A to emerging agent-driven features.</div></div><div><div><div><br>
</div><div>As a Senior Machine Learning Engineer, from integrating foundational models to crafting feedback loops for real-time interactivity, you'll shape how creators and consumers connect in more dynamic and intelligent ways. This is a product-oriented role where you&rsquo;ll spend time understanding roadmaps and advising leadership on the trade-offs of implementing ML solutions. You&rsquo;ll also play a key role in build-vs-buy decisions, assessing the engineering effort required, and connecting with ML teams across Spotify to find opportunities for collaboration with the Podcast mission.</div></div></div></div><div><div><p>
What You'll Do</p><ul><li>
Tech lead ML initiatives for podcast and video features while helping define and maintain a clear roadmap for the Spotify for Creators and Megaphone apps.</li><li>
Advise leadership on ML initiatives, guiding prioritization and shaping decisions on the development and rollout of ML features.</li><li>
Serve as the liaison ML efforts within the Podcast mission and ML engineers/PMs across Spotify, ensuring deep understanding of existing systems and facilitating their seamless integration into the Spotify for Creators product.</li><li>
Mentor engineers in ML practices to level up Podcast Mission&rsquo;s capabilities in the space.</li><li>
Work closely with backend, data, and client engineers as well as PMs and designers to ship features that directly impact podcast engagement metrics.</li><li>
Prototype novel agentic workflows (e.g., multi-component pipelines or tool-using agents) and contribute to experimentation around Creator-Consumer interactivity.</li><li>
Own and evolve ML model lifecycle: data annotation, data pipeline construction, feature engineering, model training, deployment, and monitoring.</li><li>
Design, develop, fine-tune, and deploy machine learning systems that power podcast growth.</li><li>
Optimize models for scale and reliability using modern ML infra tools like Ray, Apache Beam, and Google Cloud Platform (GCP).</li><li>
Lead with an experimentation attitude. Implement A/B tests and contribute to continuous model evaluation and improvement loops to productionize solutions at scale for our millions of active podcast users.</li><li>
Participate in Spotify&rsquo;s ML community: share findings, explore new tools and paradigms, and contribute to scaling ML standards across the company.</li></ul></div></div><div><div><p>
Who You Are</p><ul><li>
You have 5+ years of professional experience in machine learning, with expertise in building and productionize ML systems at scale.</li><li>
You&rsquo;re fluent in Python; experience with PyTorch or TensorFlow is a strong plus.</li><li>
You&rsquo;ve worked with large-scale data systems and owning end-to-end ML workflows (data ingestion to serving).</li><li>
You have hands-on experience with cloud platforms like GCP or AWS, and with ML infra tools such as Ray, Apache Beam, or Airflow.</li><li>
You have experience, or strong interest, in agent-based systems and LLM integrations.</li><li>
You thrive in agile environments, care deeply about product impact, and bring a user-centered outlook to ML development.</li><li>
Bonus: Experience with content recommendation, interactive media formats, or real-time systems.</li><li>
Bonus: You&rsquo;ve led initiatives within an organization, expertly balancing trade-offs in large-scale systems, engaging with collaborators, and crafting clear, actionable roadmaps.</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 North Americas region as long as we have a work location.</li><li>
This team operates within the Eastern Standard 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 - $ 251,666, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, a monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.</div></div></div><div><div><p>
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, Podcast

mLabs

<div><h3 class="jobSectionHeader"><b>Full-Stack Engineer, AI Financial Agent
</b></h3><p></p><p><b>Location: </b>Remote - NYC preference - will accept Remote USA to work EST hours - Will accept LATAM region to work EST hours and also Tel Aviv.</p><p></p><p><b>
compensation: </b>$160K - $200K</p><p></p><p>
We are a technology company that provides the <b>first automated, on-chain economic security system</b> for crypto protocols, helping them optimize risk management and capital efficiency while safeguarding user funds. Our platform secures billions of dollars in assets for leading protocols by analysing protocol mechanics and scenario implications using <b>world-class custom EVM simulations</b>. We are seeking a proactive and results-driven Full-Stack Engineer to join our AI team and develop our cutting-edge <b>financial AI agent</b>.</p><p></p><p>
As a <b>Full-Stack Engineer</b> reporting directly to the Head of Product &amp; AI, you will play a critical role in working closely with the CEO and the AI team to design and build the full-stack systems that power our financial AI agent.</p><p></p><p><b>
Responsibilities:</b></p><ul>
<li>
<b>Design and build</b> end-to-end full-stack systems for our AI financial agent.</li>
<li>Develop <b>scalable APIs and backend services</b> to support agent workflows.</li>
<li>Build <b>high-performance, user-facing interfaces</b> to visualize agent reasoning and surface insights, and enable real-time interaction.</li>
<li><b>Collaborate with AI researchers</b> to integrate and productionize agent logic.</li>
<li>Connect and manage <b>data pipelines from financial sources</b>.</li>
<li>Implement testing, monitoring, and <b>performance best practices</b>.</li>
<li>Stay up to date with LLM frameworks, full-stack tools, and financial trends.</li>
</ul><p></p><p><b>
Requirements</b></p><p><b>
Essential Qualifications:</b></p><ul>
<li>
<b>Experience:</b> 5+ years of full-stack development experience.</li>
<li><b>Backend Proficiency:</b> Strong proficiency in <b>Python (FastAPI)</b>, <b>JavaScript/TypeScript</b>, and <b>Node.js</b>.</li>
<li><b>Frontend Proficiency:</b> Strong proficiency in <b>React</b>.</li>
<li><b>System Knowledge:</b> Proven experience building scalable APIs and web applications.</li>
<li><b>Data Skills:</b> Solid knowledge of relational and non-relational databases.</li>
<li><b>AI Experience:</b> Hands-on experience with <b>LLMs</b> and frameworks like <b>LangChain</b> or similar.</li>
<li><b>Advanced AI Concepts:</b> Familiarity with <b>vector databases</b>, <b>RAG pipelines</b>, and async programming.</li>
<li><b>Domain Expertise:</b> Experience with <b>financial data and APIs</b>.</li>
<li><b>Work Style:</b> Comfortable working in fast-paced, self-directed environments.</li>
<li><b>Location:</b> <b>Ability to work from our Brooklyn Office 5 days a week</b> (mandatory for NYC-based candidates).</li>
<li>
</li></ul><p><b>Preferred Qualifications:</b></p><ul>
<li>
Experience building <b>LLM-based agents in production environments</b>.</li>
<li>Familiarity with prompt engineering, tool use orchestration (MCP), and <b>AI agent design</b>.</li>
<li>Experience with embedding pipelines, <b>semantic search</b>, and RAG architectures.</li>
<li>Proficiency with profiling tools and <b>performance optimization</b>.</li>
<li>Familiarity with <b>smart contracts, blockchain protocols, and DeFi systems</b> is a strong plus.</li>
</ul><p><b>
Benefits</b></p><ul>
<li>
<b>Compensation:</b> Competitive PTO (21 days) plus 7 sick days and 8 observed US-company holidays.</li>
<li><b>Healthcare:</b> 100% employer-paid health benefit options (Medical, dental &amp; vision insurance) for you and your dependents.</li>
<li><b>Financial Wellness:</b> FSA or HSA (pending on selected health insurance) and Pre-tax Commuter Benefits.</li>
<li><b>Support:</b> Thoughtful Parental Leave Policy and corporate wellness programs (OneMedical, Teladoc, Talkspace, EAP).</li>
<li><b>Growth:</b> Career growth opportunities at a rapidly expanding, global technology company in an emerging field with personalized professional development.</li>
</ul><p></p><p><b>
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.</b></p><p></p><p><b>
Commitment to Equality and Accessibility:</b></p><p>
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.</p><p></p><p>
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&rsquo;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.</p></div>

Full Stack Engineer (AI)

<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>
The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music and podcasts better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search, original playlists like Discover Weekly and Daylist, and are at the forefront of new innovations like AI DJ and AI Playlists.</div></div><div><div><div><br>
</div><div>Generative AI is transforming Spotify&rsquo;s product capabilities and technical architecture. Generative recommender systems, agent frameworks, and LLMs present huge opportunities for our products to serve more user needs and use cases and unlock richer understanding of our content and users.</div><div><br>
</div><div>This Senior Staff Machine Learning Engineer will focus on recommender systems modeling at the intersection of generative recommenders and foundational understanding of personalization across music and talk content formats. You will work closely with a cross-functional team to define and execute the machine learning technical strategy for the product area, building the next generation of Spotify content and user representations and the technical architecture to support it. You will work as an individual contributor, offering the opportunity to shape the direction of Home loading paradigms, page serving, content filtering and content storage.</div><div><br>
</div><div>Join us and you&rsquo;ll keep millions of users listening to great recommendations every day!</div></div></div></div><div></div><div><div><p><br>
What You'll Do</p><ul><li>
Contribute to defining the machine learning technical strategy at the intersection of generative recommenders and foundational user modeling</li><li>
Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that connect fans and artists in personalized, meaningful ways</li><li>
Provide expert technical leadership and direction to accelerate development, ensure scalability and push the boundaries of current methods</li><li>
Contribute to designing, building, evaluating, shipping, and refining Spotify&rsquo;s personalization products by hands-on ML developmentPrototype new modeling approaches and productionize solutions at scale for our hundreds of millions of active users</li><li>
Promote and role-model best practices of ML model development, testing, evaluation, etc., both inside the team as well as throughout the organization</li><li>
Engage with the broader ML community within Spotify and stay current with ML research to inspire and evolve our approaches</li><li>
Partner closely with teams to translate their needs into foundational systems that enable each step of the core content lifecycle.
</li><li>Mentor engineers and influence technical strategy by setting high standards in methodology, reproducibility, and collaboration.</li></ul></div></div><div><div><p>
Who You Are</p><ul><li>
You have a strong background in machine learning and recommender systems, and you know how to bridge research and end-user impact</li><li>
You have production experience developing large-scale machine learning systems in Java, Scala, Python, or similar languages. Experience with PyTorch, Tensorflow, JAX is a strong plus</li><li>
You have hands-on experience training and operating transformer models in production settings, or a strong interest in doing so</li><li>
You enjoy leading projects from start to finish working closely with your team and peers</li><li>
You are comfortable dealing with ambiguity on high impact projects</li><li>
You&rsquo;re a strong communicator and systems thinker who can drive alignment and influence across technical and product stakeholders</li><li>
You care about agile software processes, data-driven development, reliability, and disciplined experimentation</li><li>
You stay current on ML trends and are eager to apply emerging ideas to Spotify&rsquo;s challenges</li><li>
You&rsquo;re passionate about the opportunity to enrich the listening experience for users around the world</li><li>
You have extensive experience in designing system architectures that include machine learning models as key components in enabling the product experiences.
</li><li>You have a strong bias to action by building MVPs, prototypes and illustrating ideas through concise documents to drive initiatives forward.
</li><li>Team-first approach with developed techniques to ensure teams are happy, motivated, and productive</li><li>
You enjoy leading projects from start to finish working closely with your team and peers. You are comfortable dealing with ambiguity on high impact projects</li><li>
Accountable to senior tech leadership for meeting our product and technology objectives and managing expectations if those are at risk</li><li>
Demonstrated success leading technical initiatives and shaping strategic directions through cross-functional collaboration.</li><li>
Excellent communication skills and stakeholder management abilities; comfortable operating at the intersection of science and engineering</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 North America region as long as we have a work location</li><li>
This team operates within the Eastern Standard 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 $264,641-$378,058 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. 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><p>
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 Staff Machine Learning Engineer

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