Browse
···
Log in / Register

ML Engineer

Negotiable Salary

Axiom Software Solutions Limited

Austin, TX, USA

Favourites
Share

Description

Role : ML Engineer Location : Sunnyvale CA or Austin, TX (Hybrid) Duration: W2 contract only. Job Description: • A 5-10 years experienced machine learning engineer to build efficient, data-driven artificial intelligence systems that advance our predictive automation capabilities. • The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data. • The candidate should also be able to execute tests and optimize machine learning models and algorithms. • Solve complex problems with multi-layered data sets, and optimize existing machine learning libraries and frameworks • Collaborate with other data scientists, data analysts, data engineers, and data architects on production systems and applications • Identify differences in data distribution that could potentially affect model performance in real-world applications • Construct optimized data pipelines to feed machine learning models • Run machine learning tests and experiments, and document findings and results • Train, retrain, and monitor machine learning systems and models as needed Required Skills : • Hands on with Python(Oops Concepts, LaMDA), TensorFlow, PyTorch, and Keras,ML(Statistical Model, Neural N/w etc), • Experience with Fast API, Rest API • Hands on SQL knowledge • Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms • Proficiency in machine learning and deep learning, including neural networks and large language models (LLMs

Source:  workable View original post

Location
Austin, TX, USA
Show map

workable

You may also like

Workable
Machine Learning Engineer, ML Runtime & Optimization
Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai’s leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world’s top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in Nov. 2024. Responsibility The ML Infrastructure team at Pony.ai provides a set of tools to support and automate the lifecycle of the AI workflow, including model development, evaluation, optimization, deployment, and monitoring. As a Machine Learning Engineer in ML Runtime & Optimization, you will be developing technologies to accelerate the training and inferences of the AI models in autonomous driving systems. This includes: Identifying key applications for current and future autonomous driving problems and performing in-depth analysis and optimization to ensure the best possible performance on current and next-generation compute architectures. Collaborating closely with diverse groups in Pony.ai including both hardware and software to optimize and craft core parallel algorithms as well as to influence the next-generation compute platform architecture design and software infrastructure. Apply model optimization and efficient deep learning techniques to models and optimized ML operator libraries. Work across the entire ML framework/compiler stack (e.g.Torch, CUDA and TensorRT), and system-efficient deep learning models. Requirements BS/MS or Ph.D in computer science, electrical engineering or a related discipline. Strong programming skills in C/C++ or Python. Experience on model optimization, quantization or other efficient deep learning techniques Good understanding of hardware performance, regarding CPU or GPU execution model, threads, registers, cache, cost/performance trade-off, etc. Experience with profiling, benchmarking and validating performance for complex computing architectures. Experience in optimizing the utilization of compute resources, identifying and resolving compute and data flow bottlenecks. Strong communication skills and ability to work cross-functionally between software and hardware teams Preferred Qualifications: One or more of the following fields are preferred Experience with parallel programming, ideally CUDA, OpenCL or OpenACC. Experience in computer vision, machine learning and deep learning. Strong knowledge of software design, programming techniques and algorithms. Good knowledge of common deep learning frameworks and libraries. Deep knowledge on system performance, GPU optimization or ML compiler. Compensation and Benefits Base Salary Range: $140,000 - $250,000 Annually Compensation may vary outside of this range depending on many factors, including the candidate’s qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units. Also, we provide the following benefits to the eligible employees: Health Care Plan (Medical, Dental & Vision) Retirement Plan (Traditional and Roth 401k) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Free Food & Snacks
Fremont, CA, USA
$140,000-250,000/year
Workable
Low-Latency Developer
Atto Trading, a dynamic quantitative trading firm founded in 2010 and leading in global high-frequency strategies, is looking for a Low-Latency Developer to join our team. We are expanding an international, diverse team, with experts in trading, statistics, engineering, and technology. Our disciplined approach combined with rapid market feedback allows us to quickly turn ideas into profit. Our environment of learning and collaboration allows us to solve some of the world’s hardest problems, together. As a small firm, we remain nimble and hold ourselves to the highest standards of integrity, ingenuity, and effort.  Position Highlights: We are modernizing our trading and research platform to scale our alpha trading business. This platform will enable researchers to explore, test, and deploy sophisticated signals, models, and strategies across asset classes in a robust, fully automated manner while maintaining competitive latency targets. As a Low-Latency Developer, you will be responsible for designing, optimizing, and maintaining high-performance trading systems to minimize latency. Your Mission and Goals: Analyze and optimize the performance of low-latency trading systems by identifying bottlenecks and inefficiencies in the code, and implementing effective solutions.  Develop and adapt the platform to support the demands of a fast-paced trading environment, while effectively managing technical debt. Requirements Over 5 years of experience as a low-latency developer with a focus on performance optimization in a high-frequency trading (HFT) environment. Experience with multiple components of an HFT platform or system, particularly those on the critical path. Experience working at an HFT firm during its startup phase and/or on a trading team is a significant plus. Technical Skills: Deep knowledge of HFT platforms: networking, kernel bypass, market data, order entry, threading, inter-process communication, and strategy APIs. Proven low-latency development and performance optimization in HFT. Strong proficiency in C++. Excellent understanding of CPU caches and cache efficiency. Experience with multithreaded and multi-process synchronization. Good understanding of networking protocols. Skilled in performance profiling and optimization tools. Advanced knowledge of Linux operating systems, including kernel-level device mechanisms. About You: Practical decision-making skills. Excellent communication skills. Strong analytical and problem-solving skills. Passion for trading. Ability to work independently and as part of a team. Benefits Competitive rates of pay. Paid time off (5 weeks). Coverage of health insurance costs. Office lunches. Discretionary bonus system.  Annual base salary range of $150,000 to $300,000. Pay (base and bonus) may vary depending on job-related skills and experience. Our motivation: We are a company committed to staying at the forefront of technology. Our team is passionate about continual learning and improvement. With no external investors or customers, we are the primary users of the products we create, giving you the opportunity to make a real impact on our company's growth. Ready to advance your career? Join our innovative team and help shape the future of trading on a global scale. Apply now and let's create the future together!
New York, NY, USA
$150,000-300,000/year
Craigslist
Central Ohio Service & Strategy Specialist (Central Ohio)
LINK TO JOB POSTING DOC: https://docs.google.com/document/d/e/2PACX-1vQ2eHIedyLv8bdqmUhvMZsKTb3L-xmmdMtxrG8yd28yhQSX29Q5QA3IbN5befY-zpqFu3rGsq22VIiy/pub -------------------------------------------------------------- CENTRAL OHIO SERVICE & SYSTEMS SPECIALIST – JOB DESCRIPTION POSITION OVERVIEW: We are seeking a highly motivated and experienced Central Ohio Service & Strategy Specialist to serve as BOTH the strategic/organizational leader and on-site project/service leader for the Central Ohio region. This role is the primary standard-bearer for both strategy and on-site delivery, combining leadership responsibilities with hands-on execution. The position requires extensive experience in both leadership/strategy and operational/technical domains. KEY FOCUS AREAS: Develop and execute strategy for client service and internal process improvement Lead and execute projects from scoping to completion Oversee and deliver on-site technology and client-facing service Organize meetings, set agendas, and follow up on action items Design, document, and implement systems and processes Manage internal and external communications, escalations, and planning NECESSARY SOFTWARE KNOWLEDGE: Ticketing & IT Service Management (ConnectWise, ServiceNow, SuperOps, etc.) Documentation & Collaboration (Confluence, SharePoint, Google Workspace, Office 365) Remote Support (TeamViewer, LogMeIn, AnyDesk, Microsoft RDP) Cybersecurity Tools, endpoint protection, MFA, CMMC 2.0 practices a plus Networking & Monitoring (PRTG, SolarWinds, Ubiquiti, Meraki) CRM & Communication (Salesforce, HubSpot, Slack, Teams, Zoom) LOCATION REQUIREMENT: Must be located in Central Ohio Regular on-site client visits throughout Central Ohio; home-based role with travel CORE RESPONSIBILITIES: Design, implement, and maintain operational systems and standardized workflows Develop and document business processes; create process automation where applicable Establish and track metrics/KPIs; lead process improvement (Kaizen, ‘5 Whys’, PSDA, etc.) Initiate regular client updates; create communication schedules and alerts Organize, lead, document, and follow up on meetings and action items Collaborate on escalations; ensure thorough documentation and process follow-through Own project deliverables and tracking from start to finish Provide hands-on technical support during on-site visits (network cabling, equipment moves up to 50+ lbs, etc.) REQUIRED QUALIFICATIONS: Must be based in Central Ohio 5+ years in both leadership/strategy AND operational/technical roles (not entry level) Demonstrated abilities in strategic planning, team leadership, and hands-on delivery Strong understanding of IT systems and business processes Excellent written and verbal communication Able to manage multiple projects, work independently and directly with clients DESIRED QUALIFICATIONS: Experience with process improvement methodologies and project management Technical certifications relevant to IT service delivery Familiarity with automation tools, AI, and operational challenges KEY SUCCESS INDICATORS: Operational systems implemented and maintained successfully Consistent proactive, effective communication Clear meeting outcomes and documentation Reliable completion of projects within timelines High client satisfaction and process ownership OUR COMPANY CULTURE: We lead with kindness, act with honesty, and are committed to always giving our best. Our team thrives on curiosity, creative solutions, and a constant drive to improve – for our clients and each other. COMPENSATION & BENEFITS: $27–$40/hr, part-time (approx. 20-30 hrs/week, 9 a.m. to noon core hours, flexibility required) Full medical, vision, dental 401(k) with 4% company contribution Mileage reimbursement at $0.30/mile for on-site work Growth opportunity in a dynamic, supportive environment HOW TO APPLY: Click link at top to see application info.
Northwest Garage, 271 Ives Dr, Columbus, OH 43210, USA
$27-40/hour
Cookie
Cookie Settings
Our Apps
Download
Download on the
APP Store
Download
Get it on
Google Play
© 2025 Servanan International Pte. Ltd.