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Staff Machine Learning Engineer

Harnham

New York (NY)

On-site

USD 220,000 - 250,000

Full time

5 days ago
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Job summary

Harnham is seeking a Machine Learning Engineer for a tech startup in NYC focused on AI services. This mid-senior level role requires expertise in deploying models and can offer a competitive salary. The right candidate will thrive in a hyper-growth environment and possess strong Python skills.

Benefits

Equity options
Competitive salary

Qualifications

  • Proven ability to deploy and manage machine learning models in production.
  • Experience in a hyper-growth startup environment.
  • Strong in backend development and data pipelines.

Responsibilities

  • Deploy, manage, and scale machine learning models.
  • Maintain systems and ensure they scale accurately.
  • Organize and evaluate machine learning pipelines.

Skills

Python
Machine Learning
Data Pipelines
MLOps

Education

Relevant Degree in Computer Science or related field

Job description

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This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$220,000.00/yr - $250,000.00/yr

Direct message the job poster from Harnham

Flatiron, New York City – IN-PERSON ROLE 5 DAYS PER WEEK

$220,000 - $$250,000

Harnham is currently partnered with an innovative hypergrowth tech start up that is based out of NYC. This company is focused on creating an AI service for financial and accounting firms to automate workflows with the end goal of saving time and money.

THE ROLE

  • IN PERSON 5 DAYS PER WEEK; FLATIRON NYC
  • Deploy, manage, and scale machine learning models in production environments
  • Maintain the system and make sure it is responsible over time
  • Move research into the production world; strong backend capabilities to contribute to the production code base
  • Data cannot be wrong- needs to be able to scale models efficiently and accurately
  • Organize, scale, and maintain many models that operate in tandem
  • Evaluate and monitor machine learning pipelines
  • Heavily work on data pipelines and the engineering side of business; be ready to own and scale

YOUR SKILLS AND EXPERIENCE

  • Proficient in Python
  • Proven track record of putting models into production
  • Have completed a project from scratch (0-1 architecting, planning, and scaling)
  • Experience working in an accounting environment would be ideal (Other types of financial data are also great i.e. Quickbooks, Plaid, and downstream financial data)
  • Has been in a hyper-growth start-up environment that has previously gone through rounds of funding
  • Strong across LLMs, backend, and product side of business

THE BENEFITS

A competitive base salary of $220,000 - $250,000 will be offered + Equity.

HOW TO APPLY

Please register your interest by sending your resume to Grace McCarthy via the Apply link on this page.

KEYWORDS

Machine Learning | Accounting | FinTech | Start Up | Funding | Python | MLOPs | Research | 0-1 | Infrastructure | Deployment | Scale | Deep Learning

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering, Research, and Information Technology
  • Industries
    Financial Services, Engineering Services, and Technology, Information and Media

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