JOB TODAY logo

Machine learning jobs in North Bergen, New JerseyCreate job alerts

Are you a business? Hire machine learning candidates in North Bergen, NJ

  • Facility Housekeeper
    Facility Housekeeper
    19 days ago
    Full-time
    Mott Haven, Bronx

    START TODAY, GET PAID TODAY! New hires eligible for BONUS! Are you organized and proactive? Do you have an eye for detail? Facility Housekeepers set the stage for U-Haul’s exceptional service by keeping the U-Haul facility clean and inviting. Start your career at U-Haul and join an exceptional, supportive team. U-Haul Offers Facility Housekeepers: Career stability Opportunities for advancement Valuable on-the-job training Life insurance MetLaw Legal program MetLife auto and home insurance Discounts on Apple products, Dell computers, cell phone plans, hotels, and more Paid holidays, vacation, and sick days if eligible 401k and stock options 24-hour physician available for kids Health insurance & Prescription plans if eligible Dental & Vision Plans Subsidized gym/ membership if eligible Business and travel insurance YouMatter EAP program LifeLock identity Theft Critical Illness/Group Accident Facility Housekeeper Responsibilities: Provide sweeping, vacuuming, wiping, and mopping for storage units, hallways, restrooms, elevator, etc. Dispose of trash Maintain and track cleaning supply inventory, requesting supplies as needed Other duties as assigned Facility Housekeeper Minimum Qualifications: Organization skills Willingness to learn Self-starter Work Environment: The work involves moderate risks or discomforts which require special safety precautions, e.g., working around moving parts or machines, fumes or irritant chemicals. May be required to use protective clothing, or gear such as masks, goggles, gloves or shields. Physical Demands: The work requires some physical exertion such as long periods of remaining stationary, moving around outdoors, positioning oneself to reach objects at varying heights, and moving equipment weighing a minimum of 50lbs assisted or unassisted.

    Easy apply
  • Internist
    Internist
    1 month ago
    Full-time
    Manhattan, New York

    The ideal Quant candidate will be highly proficient at researching data, pattern recognition and machine learning, statistics, econometrics or math. We will also accept recent PhD, Msc, BA/BS from top university without any experience... You will be a researcher or mathematician motivated by what’s new to ensure you're always ahead of the curve. You will understand the need and importance of strong research and strong modelling. On a day to day you will: Working on your own strategy research Back Testing models Working with the development team to execute models. Execution Latency strategy Research Machine learning research Statistics/Econometrics research Market microstructure research Below qualifications are preferred, but not necessarily a must: PhD in Maths Stats or Comp Sci from a top school MIT, Cornell, Stanford, Oxbridge, Imperial, UCL or global top 50 engineering school Good understanding of Stats and time series Understanding of relational and non-relational databases with or without using an ORM Matlab or R ideally C++ or Python Interest in quantitative problems We are also looking for Quant Development Interns: Will have a computer science degree from a top tier university with a genuine passion for programming and tackling problems, the ability to help build bespoke trading systems and tools for, with some knowledge of C++ highly desired but not essential. Requirements: Python Knowledge of time series analysis / stochastic calculus / machine learning / data mining / code optimisation would be a plus C++ The internships entails quite a range of potential responsibilities depending on your abilities and the needs of the business. You may be required to: Implement trading strategies; Build tools and engines that improve our ability to analyse data; Work on complex computational and data-related problems and implement efficient an innovative solutions; Proactively develop tools to analyse data, models, and trading, and develop platform enhancements to improve the quality of our execution; Develop visualisations, and other analytics for live and experimental trading; Improve system component performance by orders of magnitudes by improving the underlying algorithms/ method of processing / identifying systems bottlenecks; Improve the accuracy of our trading simulator, analyse differences to actual trading, and then work to improve the correlation; Design extremely high-performance, highly-reliable and finely-tuned numeric computational programs and implement such models/algorithms in python and C++ language with production quality code; Monitor our trading system and fix production problems; To do this effectively, you will need to be curious, intellectually honest, practical, purposeful, committed to high quality computer code and to apply clear judgement and critical thinking, as well as collaborate closely with others in the firm. You will be joining a small team where your impact will be immediate and tangible and will be working with experienced finance professionals who will teach you the business. We are open to hearing your ideas and encourage you to make suggestions on any area that can be improved. We aim to reward people on their contribution to firm performance including helping others and the internship will be converted into full time depending on the performance... Employment Type Full-time

    Immediate start!
    Easy apply