Interested in this AI/ML Engineer role at Bully Pulpit Interactive?
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About This Role
Bully Pulpit International is an outcomes agency made up of strategists, data scientists, and artists. We come from politics, brands, and government and we communicate without barriers and measure what matters. We have more than 400 team members in six countries and thirteen offices — Berlin, Brussels, Chicago, D.C., London, Los Angeles, New York, Oslo, San Francisco, and Zürich. We apply our unique expertise across strategic communications, public affairs, research, and digital marketing to create sophisticated and customized strategies that make change possible for both American and European clients.
The Impact You Will Make
We are looking for a Creative Technologist who lives at the intersection of creative storytelling, video production, and emerging technology. As BPI accelerates its transition into an AI-enabled creative agency, you will partner with our Creative team as our resident expert, practitioner, and champion.
This is a hands-on, hybrid Creative and Technology role. You will guide the discovery, testing, implementation, and adoption of generative AI tools across our Creative and Production teams. Beyond experimentation, you will roll up your sleeves to execute live client work, build rapid prototypes, establish responsible governance, and help package AI capabilities into pitchable, revenue-generating client offerings.
- Starting Salary Range: $125,000 - $165,000 (+ annual bonus)
- Expectation to work on-site in either SF, NYC, DC, or CHI at least 3 days a week
What You'll Do
- Deliver Client Work: Partner with Creative Directors, Art Directors, Copywriters, Producers, and Video Editors to develop and execute AI-driven and hybrid concepts for public affairs campaigns, brand reputation ads, and social impact content.
- Hands-On AI Filmmaking: Lead generation across video, image, motion, and audio, combining generative AI tools with traditional post-production (editorial, motion graphics, VFX, and color finishing) to produce broadcast- and digital-quality assets.
- Pre-Production: Build concept films, storyboards, and animatics to close the “imagination gap” before hero production begins.
- Productize AI-Enabled Creative Offerings: Partner with Creative and Production leadership to package AI and hybrid production capabilities into paid client offerings.
- Lead Creative Team Adoption: Drive agency-wide capability building by leading hands-on training and workshops for the broader Creative and Production teams.
- Continuous Tool Evaluation: Evaluate emerging AI tools, models, and platforms (across video, image, audio, and agentic workflows).
Requirements What You Bring
- 10+ years of creative and technology experience in filmmaking, advertising agency, or content creation environments.
- Proven Hands-On GenAI Mastery: Deep practical fluency with modern generative AI platforms across video (Runway Enterprise, Sora, Luma, Pika), image synthesis (Adobe Firefly, Midjourney, Stable Diffusion/ComfyUI), and audio (ElevenLabs), alongside general AI models (Gemini, ChatGPT).
- Strong Creative Judgment: Exceptional aesthetic standards for storytelling and the ability to discern when an AI output genuinely elevates the narrative versus when it distracts from the campaign goal.
- Technical Filmmaking and/or Post-Production Skills: Solid grounding in traditional filmmaking techniques and/or post-production software (Adobe Creative Cloud, Premiere, After Effects, Photoshop, or Resolve).
- Collaborative Mindset: Enthusiasm for teaching, mentoring, and translating complex technical tools into plain language for creatives, producers, account leads, and clients.
Applications without a portfolio showing AI-driven creative projects will not be considered.
Benefits
BPI offers a wide range of benefits to U.S.-based employees, including 100% company-paid medical, dental, and vision insurance, a 401(k) program with employer match up to 4%, generous time off for vacation, $50 monthly phone reimbursement, unlimited sick time, and 16 weeks of paid leave for new parents. BPI’s benefits prioritize employee wellness and progressive support to our diverse workforce.
We’re looking for all kinds of people.
BPI Group is an integrated public affairs agency that delivers outcomes for the top organizations and leaders around the world. With expertise in strategic communications, digital marketing, creative, research, and measurement, we offer a cohesive approach across corporate, policy, and public affairs strategy in today’s interconnected world. By combining incisive strategy and deep tactical expertise, we make change possible. Our transatlantic presence includes offices across thirteen markets in the US and Europe.
We are an equal opportunity employer and make employment decisions based on individual commitment to excellence. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
BPI is dedicated to building an inclusive, diverse, equitable, and accessible workplace that fosters a sense of belonging – so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to still consider submitting an application*. We consider applications holistically and you may be just the right candidate for this role or another one of our openings!*
Let’s keep in touch. Follow us on LinkedIn and Twitter at bpigroup.com
Salary Context
This $125K-$165K range is below the median for AI/ML Engineer roles in our dataset (median: $178K across 1623 roles with salary data).
View full AI/ML Engineer salary data →Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 9,079 AI roles we're tracking, AI/ML Engineer positions make up 76% of the market. At Bully Pulpit Interactive, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills Required
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $211,950 based on 13,048 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $193,200. This role's midpoint ($145K) sits 32% below the category median. Disclosed range: $125K to $165K.
Across all AI roles, the market median is $213,000. Top-quartile compensation starts at $263,911. The 90th percentile reaches $318,400. For comparison, the highest-paying categories include AI Safety ($256,000) and Research Engineer ($252,000). By seniority level: Entry: $111,000; Mid: $193,200; Senior: $229,300; Director: $272,300; VP: $235,830.
Bully Pulpit Interactive AI Hiring
Bully Pulpit Interactive has 1 open AI role right now. They're hiring across AI/ML Engineer. Based in New York, NY, US. Compensation range: $165K - $165K.
Location Context
AI roles in New York pay a median of $221,000 across 3,078 tracked positions. That's 4% above the national median.
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 9,079 open positions tracked in our dataset. By seniority: 106 entry-level, 4,384 mid-level, 3,343 senior, and 1,246 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (531 positions). The remaining 8,478 roles require on-site or hybrid attendance.
The market median for AI roles is $213,000. Top-quartile compensation starts at $263,911. The 90th percentile reaches $318,400. Highest-paying categories: AI Safety ($256,000 median, 66 roles); Research Engineer ($252,000 median, 457 roles); AI Engineering Manager ($251,622 median, 55 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 9,079 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (6,862), AI Product Manager (453), AI Software Engineer (451). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (106) are outnumbered by mid-level (4,384) and senior (3,343) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 1,246 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 6% of all AI roles (531 positions), with 8,478 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $213,000. Top-quartile roles start at $263,911, and the 90th percentile reaches $318,400. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $256,000 median, while Prompt Engineer roles sit at $141,440. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,649 postings), Aws (898 postings), Azure (723 postings), Rag (671 postings), Gcp (536 postings), Pytorch (434 postings), Claude (410 postings), Kubernetes (406 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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