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ServiceNow
San Diego, CA, United States
Company Description At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world cant wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a dr
Job Source: ServiceNowGeneral Atomics
Poway, CA, United States
Job Summary General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems. We have an exciting opportunity for a Machine Learning Engineer in Poway, CA. The Autonomy a
Job Source: General AtomicsNLP PEOPLE
San Diego, CA, United States
BIG DATA Careers is currently looking for a stellar machine learning engineer. Work on pattern recognition and speech processing algorithms. Company: Big Data Careers (Rec.) Qualifications: Applicants must have the following skills or attributes: BS or MS in computer science, electrical engineering, applied math, or a related field. 0-10 years w
Job Source: NLP PEOPLEHigh-Tech Professionals
San Diego, CA, United States
MACHINE LEARNING ENGINEER Job ID: 1815 Location: San Diego, CA Type: Permanent Status: Closed Key Skills: Python, Matlab, Digital Signal Processing, DSP, Numerical optimization, linear algebra, Pattern recognition, Speech processing Description: Seeking Machine Learning Engineer to develop pattern recognition and speech processing algorithms as
Job Source: High-Tech ProfessionalsDigital Force Technologies
San Diego, CA, United States
Job Description Job Description Digital Force Technologies (DFT) Machine Learning Engineer What We Do: Digital Force Technologies (DFT) is a defense technology provider with a 20-year history of developing and fielding advanced sensor systems, force protection solutions, and tactical surveillance products. DFT’s extensive history of innovation,
Job Source: Digital Force TechnologiesUnlimit Ventures
San Diego, CA, United States
Please note - this is an evergreen role As a Machine Learning Engineer, you will play a critical role in developing cutting-edge models and algorithms that transform data into actionable insights. You will collaborate with cross-functional teams, work on challenging projects, and work building one of our new exciting products in the environmental
Job Source: Unlimit VenturesIllumina
San Diego, CA, United States
What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of d
Job Source: IlluminaDigital Force Technologies
San Diego, CA, United States
Job Description Job Description Digital Force Technologies (DFT) Machine Learning Engineer What We Do: Digital Force Technologies (DFT) is a defense technology provider with a 20-year history of developing and fielding advanced sensor systems, force protection solutions, and tactical surveillance products. DFT’s extensive history of innovation,
Job Source: Digital Force TechnologiesSan Diego, CA, United States
Machine Learning Engineer
Description -
Job Description
You are out to reimagine and reinvent what is possible—in your career as well as the world around you.
So are we. We love taking on tough challenges, disrupting the status quo, and creating what is next. We are in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference.
We are 55,000 HP employees, united in creating technology that makes life better for everyone, everywhere. And we fervently believe that one powerful thought has the power to change the world. Interested in joining us? Let’s talk.
Responsibilities :
Architects, develops and programs integrated software solutions, especially in support of the development, deployment and life cycle of machine learning models.
Applies machine learning and statistical modeling techniques to business or research problems. Defines collection protocols and analyzes data sources; develops, trains and evaluates models; creates visualizations of data properties and model performance. Deploys and maintains models. Directs technical teams in achieving these objectives.
Ability to articulate the desired outcome, approach, tradeoffs, status and risks.
Knowledge of business intelligence (e.g. Power BI) and development tools (Azure Dev Ops, GitHub)
Keeps knowledge and skills current by reading state of the art research papers and blog posts from industry and research labs. Studies new methods to understanding industry trends and emerging technologies. Disseminates this knowledge within teams and across teams.
Fluent in one or more Machine Learning Frameworks (e.g. Pytorch, TensorFlow, scikit-learn, etc). Fluent in Python and knowledge of one or more additional Programming Languages, such as C++, R, C#.
Knowledge of modern computer science including algorithms, data structures, software architecture. Where applicable, knowledge of cloud and hybrid cloud service architectures and their impacts on development and deployment. Able to architect new solutions that combine services, data preparation and preprocessing, machine learning models and data presentation.
Knowledge of the Mathematics of Machine Learning (particularly Linear Algebra, differential calculus) and Statistics.
Deep understanding of current machine learning algorithms, under which circumstances each is applicable and their pros and cons. Able to compose new model architectures and objective functions.
Knowledge of data processing/experiment techniques and data preprocessing requirements for the common machine learning approaches. Knowledge of data collection techniques. Knowledge of data augmentation approaches and their pros and cons.
Scope & Impact:
Works with tech leads and product and program managers to understand the business problem.
Works with software engineers to understand systems and craft interfaces to model for deployment.
Interacts with teams collecting data to assist in defining collection protocols and assure data quality.
Codes, trains, validates and optimizes machine learning models, possibly utilizing new model architectures, optimization techniques or objective functions.
Education and Experience:
Masters Degree in Computer Science, Statistics, and/or Math or equivalent, demonstrated through work experience, journal and/or conference publications or open-source projects.
3-5 years experience.
HP offers a comprehensive benefits package, including:
•Dental insurance
•Disability insurance
•Employee assistance program
•Flexible schedule
•Flexible spending account
•Health insurance
•Life insurance
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The typical base pay range for this role across the U.S. is $143850 - $221550 annually with additional opportunities for pay in the form of bonus and/or equity. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
Job -
Software Schedule -
Full time Shift -
No shift premium (United States of America) Travel -
25% Relocation -
No Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
If you’d like more information about HP’sEEO Policyor your EEO rights as an applicant under the law, please click here:Equal Employment Opportunity is the LawEqual Employment Opportunity is the Law – Supplement
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Email Alert for Machine Learning Engineer jobs in San Diego, CA, United States
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