Machine Learning Engineer

Elomi Corporation
New York, NY, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$100,000.0 - $160,000.0
Working hours
Regular working hours
Job source

Tech stack

PHP (Programming Language) Airflow Amazon Web Services Automated Storage and Retrieval Systems Computer Programming Information Engineering Fraud Prevention and Detection Github Python (Programming Language) PostgreSQL Machine Learning Recommender Systems
+16 more
Redis Tensorflow Next.js Search Technologies SQL Databases TypeScript Reinforcement Learning Feature Engineering Pytorch Large Language Models Grafana Scikit Learn HuggingFace Cloudflare Machine Learning Operations Terraform

Job description

We’re looking for a Machine Learning Engineer to join our growing team and own the development of intelligent systems that power core product features, personalization, and operational efficiency. You’ll work across the stack-from data pipelines and model training to inference infrastructure and product integration., Train and deploy models for search, ranking, recommendations, pricing, fraud detection, demand prediction, and more.

  • Work Across the ML Lifecycle Own projects from end-to-end, covering data sourcing and feature engineering to model deployment and monitoring.

  • Deploy at Scale Build real-time inference pipelines and batch workflows using modern cloud-native infrastructure.

  • Use AI to Ship Faster Leverage generative AI and LLMs to accelerate development, boost internal tooling, and augment user experiences.

  • Collaborate Across Functions Partner closely with product, design, and ops to ship delightful and impactful ML features., * Languages: Python, TypeScript, PHP

  • Modeling & ML: PyTorch, Hugging Face, scikit-learn, LangChain
  • Data: dbt, PostgreSQL, Redis, Airflow, Metabase
  • Infra: AWS, Cloudflare, Vercel, Terraform, GitHub Actions

Requirements

  • 5-10 years of experience in software or ML engineering
  • Experience building,shipping and scaling ML models in production (NLP, ranking, classification, etc.)
  • Strong programming skills in Python and SQL and a good understanding of best practices in software and data engineering
  • Familiarity with ML tooling (PyTorch, TensorFlow, scikit-learn), orchestration (Airflow, dbt), and deployment
  • Experience with cloud services (AWS, GCP, or similar) Ability to reason about data and metrics-and a drive to tie models to real business outcomes

  • 5 days a week in our SoHo NYC office, * Experience working on recommender systems, reinforcement learning, graph-based models, marketplace dynamics, or pricing systems
  • Understanding of retrieval systems, embeddings, or vector search
  • Experience in luxury, hospitality, or marketplace products
  • Familiarity with feature stores, and observability tools
  • Startup mindset: high agency, comfort with ambiguity, bias to ship

Benefits & conditions

  • Salary ranges are based on paying competitively for our size and stage. We determine our pay by considering skills and experience related to the role, location, and ensuring internal equity relative to other Dorsia employees
  • Flexible PTO
  • Medical, dental, and vision insurance
  • FSA
  • Commuter benefits
  • Free membership to One Medical
  • Teladoc
  • Talkspace
  • Kindbody
  • 401(k)
  • In-office lunch 3 days a week
  • Employee Dining Credits

Compensation is based on your experience and the scope of the role. Final compensation is based on factors like experience, location, and internal equity. This role also includes equity and a full suite of benefits. Typical base salary ranges are:

  • Junior level: $100,000-$160,000
  • Mid level: $150,000-$200,000
  • Senior level: $190,000-$250,000

Compensation: New York Pay Range $100,000-$250,000 USD

About the company

At Dorsia, we believe that culture eats strategy. The best ideas in the world mean nothing without the right people around the table and the right chemistry between them. We are, unapologetically, a people-first organization.

In-Person Matters

We’re creating once-in-a-lifetime experiences for the most discerning audience in the world. That doesn’t happen over Zoom. It happens through collisions: a spark across a desk, a kitchen-side conversation that unlocks a partnership, the energy of ideas felt, not typed. That’s why in-office culture is non-negotiable at Dorsia.

Who We Hire

We don’t subscribe to check-the-box hiring. We hire for merit and mindset, which naturally creates a team with varied backgrounds. What unites us isn’t demographics, it’s a shared vision: to build the social operating system for the cultural vanguard.

Lifestyle Hours

We’re not a 9-to-5 company. Our lifestyle mirrors our members. Early flights, after-work events, and late-night sprints when the work demands it. But we love what we do, and we definitely love a good party.

High Performance Culture

Working at Dorsia isn’t for everyone-and that’s the point. Our culture is designed for builders, not passengers. We move fast, set ambitious standards, and expect people to rise to them. If you have the talent and the drive, this will be a ride to remember.

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