Machine Learning Engineer, Whalar
$150-160k
Creator talent & brand partnerships agency
Be an early applicant
Creator talent & brand partnerships agency
201-500 employees
Be an early applicant
$150-160k
201-500 employees
Company mission
To harness the power of the creator community by encouraging positive social change through strategic partnerships with world-class creators, brands, and leading social platforms.
Role
Who you are
- 2+ years of experience in machine learning engineering, building production-grade ML systems
- Hands-on experience with agentic AI frameworks (e.g., LangGraph, LlamaIndex, Zep, Mem0, Langfuse, LangSmith)
- Experience building RAG pipelines, recommendation systems, and/or vector search applications (e.g., Pinecone, Vespa, PostgreSQL + pgvector)
- Strong background in time-series modeling, anomaly detection, and large-scale data analysis (e.g., Clickhouse)
- Skilled in asynchronous API design, containerization, and modern CI/CD workflows (FastAPI, Docker, Kubernetes, GitHub/Bitbucket)
- Excellent EDA skills with the ability to translate data insights into production-ready ML solutions
- Comfortable working with LLM ambiguity, designing systems that fail gracefully and learn continuously
- Proactive, independent, and curious—able to own complex features end-to-end and raise the technical bar for the team
- Strong communication skills—able to explain trade-offs between AI approaches and align technical metrics to business goals
- Experience leveraging AI tools and functionality to improve workflow efficiency, research, and experimentation
What the job involves
- We’re looking for a Machine Learning Engineer (Level 2) to join our growing ML Engineering team and lead the development of advanced AI systems that power our platform
- You’ll design and deploy the core intelligence behind our products, with a focus on building autonomous, stateful AI agents capable of reasoning, learning, and acting in dynamic environments
- In this role, you’ll bridge the gap between research and production, architecting, training, and scaling systems that turn cutting-edge ideas into reliable, production-ready tools
- You’ll collaborate with engineering, data, and product teams to create cohesive, high-performance ML ecosystems across multimodal search, forecasting, and video understanding
- If you’re passionate about pushing the boundaries of applied AI, designing intelligent systems that think and evolve, this is an opportunity to have real impact.We’re looking for a Machine Learning Engineer (Level 2) to join our growing ML Engineering team and lead the development of advanced AI systems that power our platform
- If you’re passionate about pushing the boundaries of applied AI, designing intelligent systems that think and evolve, this is an opportunity to have real impact
- Design and deploy autonomous AI agents, including reasoning loops, memory layers, and orchestration pipelines
- Build observability and evaluation systems to monitor reasoning, token usage, and model performance, ensuring reliable production behavior
- Lead the development of multimodal ML pipelines for semantic search, RAG, recommendation systems, and vector search across text, image, and video data
- Engineer high-throughput time-series analytics and forecasting models that connect batch OLAP queries with real-time inference
- Develop and maintain scalable asynchronous APIs and containerized services, ensuring reliability, monitoring, and performance optimization
- Partner with product and engineering teams to translate business goals into measurable ML outcomes
- Drive research-to-production pipelines for experimental AI projects and evaluate emerging technologies to advance our platform
Our take
The creator economy is worth billions, but in many ways it is still in its infancy. There are few clear paths to connect brands, content creators, and social platforms in a holistic way. Whalar, however, is challenging this notion by directly managing creator talent and brand partnerships.
Whalar delivers complimentary services encompassing talent management and brand partnerships, as well as proprietary technology platforms to power campaigns at scale. Though founded as a simple influencer marketing agency, the company has been astute in its hiring to build up its expertise, bringing on board executives with experience across the social media, consumer goods and advertising industries.
The company’s client list tells its own story – with notable names including Google, TikTok, McDonalds and Spotify. Operating in such lucrative circles has allowed Whalar to expand internationally. The company has also begun bolstering its standing through the acquisitions of C Talent (a consultancy that represents high-profile Deaf and Disabled talent), and creator management company Sixteenth.
Steph
Company Specialist at Welcome to the Jungle
Insights
15% employee growth in 12 months
Company
Funding (2 rounds)
Sep 2017
$3m
SEED
Mar 2016
$0.6m
SEED
Total funding: $3.6m
Company benefits
- Remote/flexible work with offices in NY, London, LA and Malaga
- 25 working days of paid vacation each year, with office closure between Christmas and New Year's Day
- Up to four months of fully paid parental leave
- Charity volunteer days
- Home office stipend
- Professional development stipend
- Company-wide yearly bonus
- Private medical insurance
- Health cash plan
- Private pension scheme
- Monthly phone/internet reimbursement
- Calm App subscription (Add up to 4 dependents)
- Fwrd personal development App subscription
Company HQ
Fulton Ferry District, NY
Leadership
James Street
(Co-founder)Co-CEO at Whalar Group and Member of the Advisory Board at Cerqular. Co-founded and is still active at clothing brand Old Harry, and wristwatch brand Shore Projects.
Neil Waller
(Co-founder)AAF Hall of Achievement Inductee. Also co-founded Shore Projects and Old Harry. Is a founding investor in a number of startups including EnviroBuild, Project Blu and Gratsy.
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