Lead Machine Learning Engineer
Launch PotatoSalary not specified
Full Time
Senior (5 to 8 years)
$180,000 – $225,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
FintechIndustries
Requirements
- A degree in computer science, data science, statistics, or related field (or equivalent experience)
- 5+ years of experience building and deploying machine learning and/or data-intensive systems
- 5+ years of programming experience in Python, Go, Scala, or equivalent
- 2+ years of experience with distributed or stream processing frameworks (e.g., Apache Spark, Apache Flink, Ray)
- Experience working with cloud platforms (e.g., AWS, GCP, Azure)
Responsibilities
- Build scalable, reliable feature engineering pipelines for batch, streaming, and real-time features consumed by a diversity of machine learning models
- Collaborate with data scientists, engineers, and business stakeholders to operationalize intelligent systems to identify risk transactions and behavior
- Optimize model performance, ensuring system reliability and model monitoring by championing MLOps best practices
- Lead and mentor peers through regular design reviews, architectural discussions, code reviews, and other technical activities
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary range for this Senior Machine Learning Engineer position?
The starting base salary range is typically $180,000-$225,000. Equity is part of the total compensation plan, with more details available from the recruiter.
Is this role remote or office-based?
The role is based in Remitly's office in Seattle, Washington, with an in-office expectation of at least 50% of the time monthly, typically three days a week.
What skills and experience are required for this position?
Candidates need a degree in computer science, data science, statistics, or equivalent; 5+ years building and deploying ML/data-intensive systems; 5+ years programming in Python, Go, Scala or equivalent; 2+ years with distributed/stream processing like Spark, Flink, Ray; and cloud platform experience like AWS, GCP, Azure.
What is Remitly's work culture like?
Remitly fosters a 'Connected Work Culture' that emphasizes dynamic in-person collaboration, with at least 50% in-office time to spark innovation and solve problems faster.
What makes a strong candidate for this Senior Machine Learning Engineer role?
Strong candidates have 5+ years in ML systems and programming (Python, Go, Scala), experience with stream processing frameworks like Spark or Flink, cloud platforms, and the ability to lead, mentor, and champion MLOps practices.
Remitly
International money transfer for immigrants
About Remitly
Remitly focuses on international money transfers, helping immigrants send money to their families quickly and securely at lower costs than traditional banks. The company charges transaction fees and earns from the exchange rate margin, offering various transfer options like bank deposits and cash pickups. Remitly enhances user experience through its website and mobile app, allowing real-time tracking of transfers, and engages with immigrant communities by providing helpful resources and educational support. Its goal is to meet the unique needs of immigrants while ensuring fast, affordable, and reliable money transfer services.
Seattle, WashingtonHeadquarters
2011Year Founded
$423.9MTotal Funding
IPOCompany Stage
Fintech, Financial ServicesIndustries
1,001-5,000Employees
Benefits
Continuing Education or Travel Stipend
Office Culture
Flexible PTO, Schedules and Leaves
DEI Learning Opportunities
Community Engagement
Inclusive Benefits
Risks
Swift's integration into banks' channels poses a competitive threat to Remitly.
AI agents' rise may challenge Remitly's operational model in efficiency and cost-effectiveness.
Schall Law Firm's investigation could impact investor confidence and Remitly's reputation.
Differentiation
Remitly focuses on immigrants, offering competitive rates and fast, secure transactions.
The company leverages technology for a seamless user experience via its app and website.
Remitly engages with immigrant communities through content and educational initiatives.
Upsides
Increased digital wallet adoption in key markets expands Remitly's reach to unbanked individuals.
AI agents in operations could reduce costs and improve Remitly's efficiency.
Visa collaboration enhances Remitly's cross-border fund flow services, boosting customer satisfaction.
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