NY · On-site
$100 - $125/hr
Solid understanding of machine learning fundamentals ... Supervised learning, feature engineering, model evaluation; Overfitting, regularization ...
NY · On-site
$100 - $125/hr
Solid understanding of machine learning fundamentals ... Supervised learning, feature engineering, model evaluation; Overfitting, regularization ...
... in supervised machine learning and semi-supervised machine learning. • Excellent communication and collaboration skills. Optional but preferred qualifications: • Strong knowledge of classical ...
... in supervised machine learning and semi-supervised machine learning. • Excellent communication and collaboration skills. Optional but preferred qualifications: • Strong knowledge of classical ...
... supervised machine learning and semi-supervised machine learning. • Excellent communication and collaboration skills. Preferred : • Strong knowledge of classical image processing or computer ...
... supervised machine learning and semi-supervised machine learning. • Excellent communication and collaboration skills. Preferred : • Strong knowledge of classical image processing or computer ...
Machine Learning Engineer
Reston, VA · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Reston, VA · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Reston, VA · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Reston, VA · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Reston, VA · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Reston, VA · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Aurora, CO · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Aurora, CO · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
San Antonio, TX · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
San Antonio, TX · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Chantilly, VA · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Chantilly, VA · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Honolulu, HI · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Honolulu, HI · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Chantilly, VA · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Chantilly, VA · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
San Antonio, TX · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
San Antonio, TX · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Aurora, CO · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Aurora, CO · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
$150K - $450K/yr
The Role As a Machine Learning Engineer at the Institute of Foundation Models, your primary ... Hands-on experience with LLM algorithms, such as Supervised Fine-Tuning (SFT) and Reinforcement ...
Quick apply
Machine Learning Engineer
$150K - $450K/yr
The Role As a Machine Learning Engineer at the Institute of Foundation Models, your primary ... Hands-on experience with LLM algorithms, such as Supervised Fine-Tuning (SFT) and Reinforcement ...
Machine Learning Engineer
Detroit, MI · On-site
Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No ... Unsupervised or Semi-supervised Learning. * Convolutional Architectures. * Autoencoders.
Quick apply
Machine Learning Engineer
Detroit, MI · On-site
Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No ... Unsupervised or Semi-supervised Learning. * Convolutional Architectures. * Autoencoders.
Machine Learning Engineer
Fort Mill, SC · Remote
$48/hr
Supervised and/or unsupervised machine learning algorithms * Neural networks * Natural Language Processing, NLP * Python * R * SQL * TensorFlow, Keras, and/or PyTorch * Microsoft Azure cloud platform ...
Quick apply
Machine Learning Engineer
Fort Mill, SC · Remote
$48/hr
Supervised and/or unsupervised machine learning algorithms * Neural networks * Natural Language Processing, NLP * Python * R * SQL * TensorFlow, Keras, and/or PyTorch * Microsoft Azure cloud platform ...
Machine Learning Engineer
Fremont, CA · On-site
You will transform ambiguous problem statements into robust end-to-end solutions using a variety of machine learning techniques and tools, including supervised learning, convolutional neural networks ...
Quick apply
Machine Learning Engineer
Fremont, CA · On-site
You will transform ambiguous problem statements into robust end-to-end solutions using a variety of machine learning techniques and tools, including supervised learning, convolutional neural networks ...
Machine Learning Supervisor information
See salary details
$12.50 - $15.01
3% of jobs
$15.01 - $17.53
15% of jobs
$18.63 is the 25th percentile. Wages below this are outliers.
$17.53 - $20.04
17% of jobs
The median wage is $22.55 / hr.
$20.04 - $22.55
16% of jobs
$22.55 - $25.07
15% of jobs
$25.07 - $27.58
8% of jobs
$28.58 is the 75th percentile. Wages above this are outliers.
$27.58 - $30.09
5% of jobs
$30.09 - $32.60
7% of jobs
$32.60 - $35.12
7% of jobs
$35.12 - $37.63
4% of jobs
$37.63 - $40.14
3% of jobs
$12
$24
$40
How much do machine learning supervisor jobs pay per hour?
As of Sep 8, 2026, the average hourly pay for machine learning supervisor in the United States is $24.75, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $30.05 per hour, depending on experience, location, and employer.
What are popular job titles related to Machine Learning Supervisor jobs?
For Machine Learning Supervisor jobs, the most frequently searched job titles are:
Machine Learning
NY • On-site
Itransition Group •
IT Services • 1 - 5K employees1,001 - 5,000 employees
$100 - $125/hr
Other
Re-posted 4 days ago
Job description
We are looking for a Machine Learning Researcher to design, develop, and evaluate predictive models for financial markets. You will work at the intersection of quantitative research, machine learning, and real-world trading constraints, contributing to alpha generation and risk modeling.
office remote Poland
Requirements- 3+ years of relevant experience
- Strong Python skills and experience with ML ecosystems (AWS Sagemaker, MLFlow)
- Hands‑on experience working with tabular/time series data with usage of ML
- Solid understanding of machine learning fundamentals: Supervised learning, feature engineering, model evaluation; Overfitting, regularization, cross‑validation
- Knowledge of statistical methods and probability theory
- Experience with experiment design and offline evaluation
- Ability to work with large datasets and build efficient data processing pipelines
- Familiarity with SQL and data querying
- Strong analytical and problem‑solving mindset
- Ability to clearly communicate findings and trade‑offs
- Ownership of tasks from research to implementation
- Curiosity and willingness to explore new approaches
- Level of English enough for efficient technical and business communication with native speakers
- Experience in financial machine learning, quantitative finance, or trading systems
- knowledge of signal generation, alpha research, portfolio construction or risk modeling
- Experience with: Deep learning for tabular/time series data (Transformers, RNNs, etc.); Probabilistic modeling or Bayesian methods
- Hands‑on experience with production ML systems (MLOps, monitoring, retraining)
- Ability to define research direction and identify high‑impact opportunities
- Ability to translate business problems into ML solutions
- Develop and validate machine learning models for financial time series and cross‑sectional data
- Conduct research on alpha signals, feature engineering, and predictive modelling techniques
- Design experiments and backtesting frameworks with proper statistical rigor
- Work with large‑scale structured and unstructured financial datasets
- Collaborate with engineering teams to deploy models into production pipelines
- Analyze model performance, stability, and robustness under changing market conditions
- Improve data pipelines, labeling strategies, and evaluation methodologies
- Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota
- Competitive compensation that depends on your qualification and skills
- Career development system with clear skill qualifications
- Flexible working hours aligned to your schedule
About Itransition
Sourced by ZipRecruiter
Industry
It services
Company size
1,001 - 5,000 Employees
Headquarters location
Denver, CO, US
Year founded
1998