AMVETS Jobs

About the Team

Machine Learning Platform team, builds the infrastructure and tools that enable scalable and efficient machine learning across the company. Our team is responsible for developing and maintaining the core ML infrastructure, including data pipelines, model training and serving frameworks, and feature stores. We also support large language model (LLM) deployment, enabling real-time retrieval, generation, and personalization. We work closely with product teams to deliver high-performance, reliable, and scalable machine learning solutions that drive business impact.

About the Role

As a Machine Learning Infrastructure Engineer, you will be responsible for designing, building, and optimizing data pipelines that feed into RAG systems. You will work with diverse data sources, building scalable indexing pipelines and ensuring high-performance data ingestion into vector databases. Your work will enable real-time retrieval and enhance the accuracy and efficiency of LLM-based applications.

You’re excited about this opportunity because you will…

• You thrive on zero-to-one projects and are excited about fast development cycles, driving quick iterations and impactful outcomes.

• Design and build high-performance, flexible data pipelines that can quickly adapt to new technologies, techniques, and modeling approaches for LLMs.

• Enhance the reliability, scalability, and observability of our data and inference infrastructure to support LLM-driven applications.

• Work closely with ML Engineers and Product Engineers to evolve the ML platform as per their use cases

• Improve the reliability, scalability, and observability of our inference infrastructure.

  We’re excited about you because…

• You have industry experience: 5+ years of building ML infrastructure or related disciplines.

• You have a strong background in building and optimizing data pipelines in production.

• You understand the nuances of vector databases and their role in RAG systems.

• You are experienced in working with large-scale data infrastructure and real-time processing.

• You are a problem solver — you thrive on tackling complex technical challenges.

• You are passionate about working at the intersection of machine learning and data engineering.

  Nice To Haves

• Experience with popular vector databases such as Qdrant, Pinecone, or FAISS.

• Familiarity with modern LLM frameworks and how they interact with vector search.

• Experience with real-time data processing frameworks like Spark, Flink, or Kafka.

• Experience with cloud-based infrastructure (AWS, GCP, Azure) for data and model deployment.

• Knowledge of retrieval optimization techniques for large-scale systems.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound (https://getcovey.com/product/covey-scout-inbound) from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound (https://getcovey.com/product/covey-scout-inbound) again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey (https://getcovey.com/nyc-local-law-144)

Compensation

The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.

In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.

DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.

Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.

To learn more about our benefits, visit our careers page here (https://careers.doordash.com/) .

The base pay for this position ranges from our lowest geographical market up to our highest geographical market within the United States.

$167,800 — $246,800 USD

About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Statement of Non-Discrimination : In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

If you need any accommodations, please inform your recruiting contact upon initial connection.