aimlroles

Web Application Architect 4, Machine Learning (INDG)

Bloomberg Open · verified Oct 22, 2026
Arlington Full-time Mid-level Machine Learning Engineering

At a glance

Mid-level Machine Learning Engineering role at Bloomberg. Arlington · full-time · $230,000–$275,000 base.

SalaryStated by Bloomberg
$230,000 – $275,000
Base salary for this role, in USD per year, as published in the posting.
This role, from BloombergOur estimate for the market: $126,800–$184,700Median $152,500
Above the market median of $152,500 for mid-level machine learning engineering roles in Arlington.
Worked out from 9 postings that stated pay, median $152,500. Last updated Oct 9, 2026.
RoleMachine Learning Engineering
SeniorityMid-level
LocationArlington
EmploymentFull-time
Base pay$230,000–$275,000
PostedSep 9, 2026 · 6w ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Set technical standards for ML algorithms, models, tools and data structures, then use them to shape delivered solutions
  • Guide architecture across product areas and build major services, libraries or infrastructure for large initiatives
  • Present ML solutions across business areas and explain the technical choices to colleagues without technical backgrounds
  • Help define the team’s technology direction and spot opportunities for strategic growth
  • Work with cross-functional teams to solve complex problems and deliver AI/ML projects

What you bring

  • A master’s or doctoral degree in a related area, or equivalent experience
  • At least seven years building commercial ML applications through software development or comparable skills
  • Experience applying AI/ML to transform processes in organizations with hundreds of people
  • A record of taking large machine-learning projects from initial design through deployment, especially in cloud environments
  • Strong knowledge of AI/ML languages and methods, plus AWS, DevOps and cloud practices

Who this fits

This role suits a senior technical contributor who can steer ML architecture across teams and products, influence technical direction, and communicate with both technical and non-technical colleagues. The position is based in Arlington, United States.

From the employer

Leads enterprise AI/ML strategy, architecture, governance, evaluation, and value realization across HR, Finance, Product, Sales, Marketing, and News & Content, creating reusable AI capabilities, standards, and operating models that drive scalable process transformation and measurable business outcomes.

What you will do:

  • Architect, design and deliver high-quality technical solutions by promoting and defining INDG best practices for ML algorithms, tools, models, and data structures.

  • Serve as a strong influencer on technical trends in ML and AI across multiple product areas.

  • Deliver and present ML solutions for large initiatives across multiple verticals.

  • Solve complex problems in a creative manner in a timely fashion.

  • Shape broad architecture; ship multiple large services, complex libraries, or major pieces of infrastructure.

  • Identify technology strategic growth opportunities that enable INDG to grow as a business.

  • Participate in providing technology roadmap/vision for the team.

  • Collaborate with cross-functional teams and communicate technical solutions to non-technical people across the organization.

  • Participate in special projects and perform other duties as assigned.

You need to have:

  • Master's or PhD in related field or equivalent work experience.

  • At least 7 years of software development experience and/or commensurate skills building ML applications for commercial use with modern software engineering practices.

  • Experience delivering AI/ML-enabled process transformation for multi-hundred person organizations.

  • Deep expertise of current AI/ML programming languages, including large language models, frameworks, libraries, data structures and data modeling techniques.

  • Proven track record of delivering large-scale machine learning projects from conception to deployment, with a focus on cloud-based solutions.

  • Familiarity with distributed software delivery practices such as Agile/Scrum and DevSecOps.

  • Excellent communication, leadership, and influencing abilities, with a demonstrated ability to guide technical direction across multiple teams and products, emphasizing AWS, DevOps, and cloud knowledge.

Compensation Range:

$230,000.00-$275,000.00

Placement in the salary range will be decided upon completion of the interview process. Salary determination will be determined based on factors including but not limited to relevant experience, demonstrated skills related to the requirements of the role, education, certifications, and geographic location.


Equal Opportunity


Bloomberg Industry Group maintains a continuing policy of non-discrimination in employment. It is Bloomberg Industry Group’s policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (“Protected Characteristic”). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics (“Discrimination”).