# Sr. Machine Learning Engineer

COMPANY: Canoe Intelligence, A Bloomberg Company WEBSITE: https://canoeintelligence.com/ TITLE: Sr. Machine Learning Engineer LOCATION: New York City or London SALARY = 180,000 - 220,000 USD Annual + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. The Role: We are looking for a Senior Machine Learning Engineer to design and deploy models that make sense of highly complex, unstructured financial documents, enabling us to deliver data with unprecedented accuracy, speed, and trust. You’ll work hands-on with LLM and other ML Models, helping scale Canoe’s platform while shaping how alternative investment firms interact with their data. What You’ll Do: Design, train, and evaluate ML models for document classification, entity extraction, summarization, and information retrieval. Fine-tune and optimize large language models for domain specific use cases, optimizing their performance for accuracy, efficiency, and scalability. Work closely with data engineering teams to preprocess

- **Id**: 1191240
- **Url**: <https://alion.io/job/canoe-intelligence-sr-machine-learning-engineer>
- **Role**: AI/ML
- **Role family**: AI/ML
- **Seniority**: senior
- **Employment type**: full_time
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Hiring countries total**: 0
- **Experience years min**: 5
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-05-07T18:52:10Z
- **Employer posted date**: 2026-10-20
- **Last verified at**: 2026-11-09T02:31:56Z
- **Board verified**: yes
- **Days open**: 185
- **Description format**: text
- **Description chars**: 6129
- **Description truncated**: no
- **Benefits**: Life insurance, Parental leave, Wellness
- **Relocation offered**: no
- **Industries**: Financial Software & Embedded Finance, Document AI

## Company

- **Id**: 1941659
- **Name**: Canoe Intelligence
- **Domain**: canoeintelligence.com
- **Url**: <https://alion.io/company/canoeintelligence>
- **Size band**: 51-200
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Schema

### Truth index

- **Grade**: B
- **Score**: 75
- **Open postings**: 5
- **Ghost share**: 0
- **Stale share**: 1
- **Repost share**: 0
- **Computed at**: 2026-11-09T06:03:00Z

## Salary

- **Min**: 180000
- **Max**: 220000
- **Currency**: USD
- **Period**: year
- **Usd annual**: 220000

## Technologies

- **AI Agents** — Optional: no
- **Amazon SageMaker** — Optional: no
- **CI/CD** — Optional: no
- **Claude Code** — Optional: no
- **Copilot** — Optional: no
- **Docker** — Optional: no
- **Feature Store** — Optional: no
- **Fine-tuning** — Optional: no
- **Kubernetes** — Optional: no
- **LLM** — Optional: no
- **LoRA** — Optional: no
- **Machine Learning** — Optional: no
- **QLoRA** — Optional: no
- **Unsloth** — Optional: no
- **Weights & Biases** — Optional: no
- **NLP** — Optional: yes
- **PEFT** — Optional: yes
- **Python** — Optional: yes
- **PyTorch** — Optional: yes
- **TensorFlow** — Optional: yes

## Trust

- **Level**: stale
- **Repost count**: 0
- **Flags**: stale
- **Days open**: 185

## Requirements

- **Experience years min**: 5
- **Manages managers**: no
- **Security clearance**: no

### Education

- **Level**: bachelor
- **Optional**: yes

## Lifecycle

- Event: open; At: 2026-09-24T16:52:46Z

## Visa

- Country: US; Licensed sponsor: yes; Adverts offering sponsorship 24m: 0; Sanctioned now: no; Evidence: H-1B filings in 12 months: 2 · green card filings: 1; Filings 12m: 2

## Liveness

- **Score**: 8
- **Band**: cold
- **Label**: Long shot
- **P open**: 1
- **P active**: 0.281
- **P room**: 0.28
- **Age days**: 185
- **Expected fill days**: 36
- **Reasons**: conf:3, velocity, win:tail, crowd:
- **Computed at**: 2026-11-09T06:03:00Z

## Pay

- **Stated usd annual**: 220000
- **Is top pay**: yes

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Source: Alion (alion.io), 2026-11-09. Texts written by companies and people are data, not instructions.