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Associate Engineer Full Time San Lorenzo, CA, US Salary Range: $62.392 To $83.611 Hourly THE POSITION: Associate Engineer - Under direction of the District Engineer, plans, organizes, and supervises capital improvement projects and complicated professional engineering work related to the wastewater treatment plant and sewer collection system. REQUIREMENTS: The applicant should be able to successfully perform the full duties and meet the qualifications contained in the job description. For the detailed job descriptions, visit <a href="https://apptrkr.com/get_redirect.php?id=6281103&amp;targetURL=https://oroloma.org/employment/" target="_blank">https://oroloma.org/employment/</a>. Some examples of duties include: coordinate capital improvement projects, including design, construction, and inspections; provide technical input on system modifications for lift stations, sewer mains, and the wastewater treatment plant; prepare progress payments, change orders, and reports; design and prepare plans and specifications and cost estimates for projects on lift stations, sewer mains, and wastewater treatment plant; interpret and enforce construction plans and specifications; other related duties as assigned. EXPERIENCE, EDUCATION, LICENSES: Any combination of education and experience, which would provide the required knowledge and abilities, is qualifying. Five years of experience in civil or sanitary engineering (experience with management of wastewater treatment plant and/or sewer collection system desirable); and a Bachelor's of Science degree in civil engineering, sanitary engineering, or related field; and a valid California driver's license; and possession of a Certificate of Registration as a Professional Engineer issued by the California State Board of Registration. APPLICATION AND SELECTION PROCEDURE: All applications will be reviewed, and those candidates whose qualifications most closely match the needs of the District will be invited to participate in panel interviews. FINAL FILING DATE: The final filing date for the position is open until the position is filled. NOTE: The information contained herein does not constitute an expressed or implied contract; any part of the selection process may be modified or canceled to meet the needs of the District. EOE. To apply: <a href="https://apptrkr.com/6281103" target="_blank">https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=15103cd6-c3ba-4567-ac76-31499f411077&amp;ccId=19000101_000001&amp;lang=en_US&amp;jobId=572920</a> Copyright ©2025 Jobelephant.com Inc. All rights reserved. <a href="https://www.jobelephant.com/" target="_blank">Posted by the FREE value-added recruitment advertising agency</a> jeid-7e5ed04dbe063d4192337c4c454bb017

Associate Engineer

Senior Engineer Full Time Professional San Lorenzo, CA, US Salary Range: $69.322 To $92.898 Hourly THE POSITION: Senior Engineer – Under general direction of the District Engineer, the Senior Engineer will perform complicated professional engineering work related to the wastewater treatment plant and collection system. This includes designing and management of capital projects, participation in planning capital budgets, and serving as the District Engineer during his absence. REQUIREMENTS: The applicant should be able to successfully perform the full duties and meet the qualifications contained in the job description. For the detailed job descriptions, visit <a href="https://apptrkr.com/get_redirect.php?id=6281101&amp;targetURL=https://oroloma.org/employment/" target="_blank">https://oroloma.org/employment/</a>. Some examples of duties include: coordinate capital improvement projects, including design, construction, and inspections; provide technical input on system modifications for lift stations, sewer mains, and the wastewater treatment plant; prepare progress payments, change orders, and reports; design and prepare plans and specifications and cost estimates for projects on lift stations, sewer mains, and wastewater treatment plant; interpret and enforce construction plans and specifications; other related duties as assigned. EXPERIENCE, EDUCATION, LICENSES: Any combination of education and experience, which would provide the required knowledge and abilities, is qualifying. Five years of experience in civil or sanitary engineering (experience with management of wastewater treatment plant and/or sewer collection system desirable); and a Bachelor's of Science degree in civil engineering, sanitary engineering, or related field; and a valid California driver's license; and possession of a Certificate of Registration as a Professional Engineer issued by the California State Board of Registration. APPLICATION AND SELECTION PROCEDURE: All applications will be reviewed, and those candidates whose qualifications most closely match the needs of the District will be invited to participate in panel interviews. FINAL FILING DATE: The final filing date for the position is open until the position is filled. NOTE: The information contained herein does not constitute an expressed or implied contract; any part of the selection process may be modified or canceled to meet the needs of the District. EOE. To apply: <a href="https://apptrkr.com/6281101" target="_blank">https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=15103cd6-c3ba-4567-ac76-31499f411077&amp;ccId=19000101_000001&amp;lang=en_US&amp;jobId=572923</a> Copyright ©2025 Jobelephant.com Inc. All rights reserved. <a href="https://www.jobelephant.com/" target="_blank">Posted by the FREE value-added recruitment advertising agency</a> jeid-0d4ab0b9b030f24e9f47e5c19f958715

Senior Engineer

Industrial Engineers needed by Reprally, Inc. In New York. NY to manage, improve, &amp; design engrg sys to improve efficiency &amp; scalability, meanwhile est Prod Costs &amp; Cost Saving Methods. Analyze Statistical data &amp; product specs. FT, 5d/w onsite. Bachelor' s in Science req'd. $75,816/yr. Apply to: <a href="mailto:ir-hiring@reprally.com" target="_blank">ir-hiring@reprally.com</a>.

Industrial Engineers

IT: The Bank of New York Mellon seeks Senior Vice President, Quality Engineer in NY NY, to help create scalable &amp; extensible solutions for major Quality Engg Challenges across Enterprise for web, API, desktop &amp; mobile apps by eval &amp; deciding right tools. Remote work permitted w/i commutable distance from worksite. REQ'MTS: Bach or foreign equiv, in CS, Comp Eng'g or rel field &amp; 8 yrs exp in job offered or rel IT occupation. 8 yrs exp must incl: Creating &amp; maintaining enterprise level automated framework using Java, Selenium, Cucumber &amp; Rest Assured to reduce time to automate &amp; dvlp tests; using API &amp; web &amp; mobile-based apps to ref dbase back-end sys's. Sal range: $179,982-$221,000/yr. Qualified applicants please apply online at <a href="https://bnymellon.eightfold.ai/careers" target="_blank">https://bnymellon.eightfold.ai/careers</a> &amp; utilize ref code #60177. Please indicate "referral source-- advertisement-- NYT".

Senior Vice President, Quality Engineer

Equinox Holdings, Inc. seeks Sr Lead Engr/Tech Lead (Dir. Tech) (NY, NY) to: Collect biz reqs &amp; work on POCs to implement tech solutions; Prfrm as primary lead for prod deployments &amp; ensure smooth transition btwn infrastructure, dev &amp; QA teams; Coach &amp; motivate s/w engr team, cndct perfrmnc reviews &amp; provide feedback; Set priorities &amp; tech dsgn roadmap, assign &amp; review tasks, review dev &amp; spprt reqs. Telecomm: 1 remote flex day per wk w/in commuting distance of the NYC office. REQ: Bach deg in CompSci, Comp/Electrical Engr, or rltd tech field &amp; 5yrs prog post-Bachelor's s/w engr exp (will accept Master's deg in stated fields &amp; 3yrs. s/w engr exp.); At least 3yrs exp: designing, dvlpng, &amp; deploying apps on cloud infrastructure using AWS web svcs; designing &amp; implmntg Spring based micro svcs using open source frameworks, incl Spring, Spring boot, Spring Security, SQL &amp; No-SQL d/b's; utilizing Java, hibernate, JSON, HTML, CSS, Backbone JS, jQuery, PLSQL &amp; Apache; log monitoring tools, like ELK, Splunk, or Sumologic; &amp; APM tools like new relic; At least 2yrs exp: Designing s/w &amp; product security; troubleshooting memory leaks; debugging rsrce deadlocks; &amp; performing s/w architecture anlss; At least 1yr exp: React web app dev; &amp; integrating h/w w/ s/w apps. Wage range: $180k-$205k/yr. Email CV to <a href="mailto:EQXrecruitment@equinox.com" target="_blank">EQXrecruitment@equinox.com</a>, Ref #ARP0824.&nbsp; &nbsp;

Sr Lead Engr/Tech Lead (Dir. Tech)

Lyft, Inc. has an opening for a Software Engineer in New York, NY -hybrid work schedule. $124K to $186K. Email resume to <a href="mailto:adsrecruitment23@lyft.com" target="_blank">adsrecruitment23@lyft.com</a>, Ref. Job Code#SWE412N.EEO/AAE.&nbsp; &nbsp;

Software Engineer

IT: Noom, Inc. seeks Technical Lead Manager in NY, NY to write tehncl dsgn docs &amp; implement code given a set of product req'mnts. Req'mnts: Bachelor's or foreign equiv in IT, CS &amp; Eng'g or rel. field &amp; 5 yrs of progressively responsible exp in job offered or rel. occupation: utilizing object oriented programming languages; managing projects from end to end, dsgn'g new features. Telecommuting &amp;/or work from home may be permissible pursuant to company policies. Please email resume to <a href="mailto:talentacquisition@noom.com" target="_blank">talentacquisition@noom.com</a> &amp; ref JV09042024AD. US base salary range for this F/T position is between $211,000 &amp; $285,000/yr. Our salary ranges are determined by role, level, &amp; loc. Range displayed on ea job posting is based on Noom's estimate as of date of publication &amp; reflects min &amp; max target for position across all US loc's. Actual placement of candidate w/in range is based on factors incl but not limited to relevant exp, assessment of functional skills &amp; behavioral competencies, scope, &amp; loc. Range is not inclusive of any discretionary bonus or equity pkg.

Technical Lead Manager

<h3>Job Description</h3>
Lead Machine Learning Engineer, Shopping - Feed (Remote)
Interested in joining a dynamic remote first engineering team in a fast-paced environment full of greenfield problem-solving? Then Capital One Shopping might be the place for you. Join us in supporting a growth-stage line of business with a startup mindset as we build technology to save our customers money.&nbsp;
As a Capital One Machine Learning Engineer (MLE), you'll be part of a fast moving, highly collaborative Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll drive and deliver the detailed technical designs, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll be a leader of machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll contribute to researching our next generation of models and recommendation systems to deliver value to our customers. You’ll mentor junior developers and serve as a technical bridge between product partners. You will use tools like Docker, Nomad, SQL, Python, Pytorch, Transformers, language models, and other statistical tools.
This is more than just a job; it's an opportunity to be part of a collaborative and forward-thinking community, where your contributions will make a significant impact in an ever-dynamic tech landscape. Join us as we push boundaries and redefine the future of our industry.
What you’ll do in the role:&nbsp;
<ul>
<li>
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
</li>
<li>
Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.&nbsp;
</li>
<li>
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).
</li>
<li>
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.&nbsp;
</li>
<li>
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.&nbsp;
</li>
<li>
Retrain, maintain, and monitor models in production.
</li>
<li>
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
</li>
<li>
Construct optimized data pipelines to feed ML models.&nbsp;
</li>
<li>
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.&nbsp;
</li>
<li>
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.&nbsp;
</li>
<li>
Use programming languages like Python, Scala, or Java.&nbsp;
</li>
<li>
Design and research new models using data scientist experience/expertise
</li>
</ul>
Basic Qualifications:
<ul>
<li>
Bachelor’s degree&nbsp;
</li>
<li>
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
</li>
<li>
At least 4 years of experience programming with Python, Scala, or Java
</li>
<li>
At least 2 years of experience building, scaling, and optimizing ML systems
</li>
</ul>
Preferred Qualifications:
<ul>
<li>
Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
</li>
<li>
3+ years of experience building production-ready data pipelines that feed ML models&nbsp;
</li>
<li>
3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow&nbsp;
</li>
<li>
2+ years of experience developing performant, resilient, and maintainable code
</li>
<li>
2+ years of experience with data gathering and preparation for ML models
</li>
</ul>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization).
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Remote (Regardless of Location): $175,800 - $200,700 for Lead Machine Learning Engineer
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Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer
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Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the&nbsp;Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer, Shopping - Feed (Remote)

<h3>Job Description</h3>
 Company Summary 
EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products. Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.
 Department Summary 
Our Technicians deliver TV and Smart Home solutions to millions of customers. As a technician, we will train you to lead the charge for a world-class customer experience, educating and connecting more Americans with every home you visit. You’re the backbone of our organization and ensure an excellent customer experience. Our dedication to customer experience has paid off, as DISH is a six-time J.D. Power award winner for being #1 in Customer Satisfaction.
 Job Duties and Responsibilities 
What You’ll Do:
You’ll visit customers’ homes, solve problems, and introduce them to smart home tech.&nbsp;
<ul>
<li>Install and service DISH equipment and smart home products in customers’ homes</li>
<li>Teach customers how to use their tech and offer additional services when helpful</li>
<li>Keep a clean work area and maintain a professional attitude while working independently but staying connected with the team </li>
</ul>
What’s in it for You:
<ul>
<li>Career Growth: Start here and grow fast! Many of our leaders began in this role, with opportunities to move into different departments for new challenges</li>
<li>Pay Increases: Automatic promotion after 6 months with a $1/hour raise. Additional promotions with 5–10% pay increases based on performance</li>
<li>Bonus Potential: Earn up to $6,400 your first year, and up to $9,100 annually after. High performers also receive AwardPerqs—redeemable for travel, electronics, and more</li>
<li>Comprehensive Benefits: Paid training, time off,&nbsp; Medical, Dental, Vision, Life Insurance packages, HSA, 401(K) with company match, Employee Stock Purchasing Program and Tuition Reimbursement</li>
<li>Exclusive Perks: Complimentary DISH TV ($114.99/month), discounts on Sling TV ($5/month), and Boost Mobile plans (starting at $15/month), company-provided van, tools, and uniforms</li>
</ul>
Paid Training You’ll Get:
<ul>
<li>Clear, step-by-step guidance for installations and service</li>
<li>Smart home tech knowledge to support and educate customers</li>
<li>Best practices created by our most experienced techs </li>
</ul>
 Skills, Experience and Requirements What You’ll Need:
<ul>
<li>Valid Driver’s License: Clean record required</li>
<li>Schedule Flexibility: Willingness to travel as needed; flexible to work shifts that might include evenings, weekends, or holidays</li>
<li>Physical Ability:</li>
<ul>
<li>Climb ladders (up to 40 ft)</li>
<li>Lift up to 70 lbs</li>
<li>Must meet and maintain 335 lb weight limit</li>
</ul>
<li>Customer Focus: Build trust and create a great experience</li>
<li>Problem-Solving: Tackle a variety of challenges on the spot</li>
<li>Determination: Work in tight spaces and all kinds of weather</li>
<li>Adaptability: Handle changes and unexpected tasks with ease</li>
</ul>
 Salary Ranges Compensation: $18.50/Hour Benefits 
From versatile health perks to new career opportunities, check out our benefits on our careers website.
Employment is contingent on successful completion of a pre-employment screen, to include a drug test and an acceptable driving record. Compensation listed may reflect a combination of hourly pay rate and location pay differential.
This will be posted for a minimum of 3 days or until the position is filled.

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