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Rilla

<div>
 
 A Foundational Company
 
 
 
 Rilla is on a mission to index the offline world.
 
 
 Today, we&rsquo;ve built the leading sales coaching software for organizations doing sales offline. We have over 1000 customers, including The Home Depot, KKR, Neighborly, and PulteGroup, using our product to enable AI sales coaching across their organization.
 
 
 We are backed by Google Ventures, Bessemer Ventures, Crew Capital, and Broom Ventures, along with others.
 
 
 We&rsquo;re an in office team in NYC with builders who operate like high speed reinforcement learners. We obsess over our customers, move at a high velocity, are not afraid of failure, and look to maximize our real-world impact.
 
 
 If you want to build the products and systems for how billions of conversations in the real world are captured and indexed, Rilla is the place to do it.
 
 
 
 The Role
 
 
 
 The Applied AI team at Rilla is redefining how humans interact with machines&mdash;using voice, intelligence, and a whole new class of data.
 
 
 Every day, you&rsquo;ll architect and ship AI-powered systems that make it possible for people to talk to Rilla like they would a human. You&rsquo;ll help build agents that operate natively on real-world audio, extract insights from conversations no one else can even access, and push the boundaries of what&rsquo;s possible in AI.
 
 
 
 We&rsquo;re Building
 
 
 
 <ul>
 <li>
 A voice-first interface that lets users command Rilla directly through natural speech
 </li>
 <li>
 A search engine that uncovers business-critical insights from voice data that&rsquo;s never been searchable
 </li>
 <li>
 A first-of-its-kind audio intelligence pipeline&mdash;designed for the messy, noisy, wildly unstructured conversations that happen in the real world, not in an online meeting
 
 
 </li>
 </ul>
 As an early AI engineer, you&rsquo;ll shape the foundations of our AI stack and drive the invention of new techniques, tooling, and models. You&rsquo;ll work across the full AI lifecycle&mdash;from data acquisition to real-time inference and user-facing chat interfaces.
 
 
 If you&rsquo;re obsessive about your craft, think like a founder, and want to be on the frontier of voice and offline AI, this is your team. The scale of the problems we&rsquo;re solving is unmatched&mdash;and the surface area for ownership is only getting bigger.
 
 
 
 Technologies We Use
 
 
 
 <ul>
 <li>
 We work primarily in Python and TypeScript, with FastAPI for API development
 </li>
 <li>
 AI/ML technologies including PyTorch, OpenAI APIs, Baseten, and LiteLLM
 </li>
 <li>
 Cloud infrastructure with AWS and LiveKit for real-time communications
 </li>
 <li>
 PostgreSQL, Redis, and S3 for data storage
 
 
 </li>
 </ul>
 
 What We Value
 
 
 
 <ul>
 <li>
 An infinite learner. Someone who is relentless in their curiosity.
 </li>
 <li>
 A customer obsessive. Someone who deeply care about delighting customers and solving real pains, not vanity metrics.
 </li>
 <li>
 A winning attitude. You thrive with extreme accountability, learning as a team, and both giving and receiving rapid feedback.
 </li>
 <li>
 Extreme empathy. Our customers are not tech companies. They live and work in the real world. Empathy is critical to arriving at correct solutions.
 </li>
 <li>
 Unafraid of failure. You take risks. You see failure as an opportunity to learn, grow, and be better the next time. In a weird way, you trick your brain into being excited when you fail, because it means you got a new opportunity to learn more.
 
 
 </li>
 </ul>
 
 What We Require
 
 
 
 <ul>
 <li>
 Experience building and deploying AI/LLM systems in production
 </li>
 <li>
 Familiarity with tools that power today's AI: eval frameworks, agent tooling, and prompt engineering
 </li>
 <li>
 Comfort working directly with customers to understand their needs and solve real-world problems
 
 
 </li>
 </ul>
 
 Don&rsquo;t Work Here
 
 
 
 
 Please Don't Join If You're Not Excited About
 
 
 
 <ul>
 <li>
 Building an AI product for an industry untouched by modern software
 </li>
 <li>
 Constantly talking to and visiting customers in the field
 </li>
 <li>
 Working ~60 hrs/week in person with some of the most ambitious people in NYC
 </li>
 <li>
 Attempting to build a generational company, and the intensity required to do so
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 The estimated salary range for this position is $200,000 - $300,000/year.
 
 
 Successful candidates with competing offers will receive matching and competitive offers.
 
 
 Total compensation for this position may also include Incentive Stock Options, sign-on bonus, and other potential future incentives. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives.
 
 
 Our benefits aim to empower Rilla employees in removing roadblocks to achieving their life&rsquo;s work. The list below details our available benefits and some of the perks that can be enjoyed as an employee of Rilla.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Medical, dental, and vision insurance
 </li>
 <li>
 Breakfast, lunch, dinner, and supplementary food and drink
 </li>
 <li>
 401(k) retirement plan
 </li>
 <li>
 Gym membership
 </li>
 <li>
 Commuter benefits
 </li>
 <li>
 Relocation assistance
 </li>
 <li>
 Take what you need paid time off, not accrual based
 </li>
 <li>
 $1,000 stipend for learning and personal growth
 </li>
 <li>
 $1,500 a month rent stipend
 </li>
 <li>
 Tech equipment
 </li>
 </ul>
</div>

Software Engineer, Applied AI

Traba

<div>Traba is the AI operating layer for the industrial supply chain.<div></div> 
We started in workforce&mdash;temp staffing, the biggest operational pain point for the manufacturing and logistics customers we serve&mdash;and used it to embed ourselves inside their daily operations and create a far better customer experience through technology.<div></div> 
Now those same customers are pulling us beyond staffing into the broader operational workflows that run their facilities. That foundation gave us proprietary data from millions of shifts and deep enterprise relationships.<div></div> 
But our edge is more than data: by connecting to the systems running across every facility and activating the workers already on our platform to execute against them, we are building applied AI that drives real productivity gains and transforms how the global supply chain operates at scale. 
 
We are backed by Founders Fund, Khosla Ventures, and General Catalyst.<div></div> 
You'll build the AI agents themselves&mdash;the harnesses, evals, orchestration, and model strategy the rest of Traba's product runs on. We're seeking an entrepreneurial AI Agent Engineer to join as a founding member of the Agents team and build the next layer of Traba's product&mdash;an agentic platform that synthesizes the data flowing through our marketplace and operates autonomously inside our customers' supply chain workflows. (Our Applied AI team puts these agents to work across the product; you own the agents and infrastructure they depend on.) You'll embed deeply in our customers' operations, design and ship production agent harnesses on top of frontier models, and turn what you learn in the field into durable product. You will partner closely with our CTO, product, and our operators to take 0-to-1 ideas to scaled deployments.<div> 
</div><h2 class="jobSectionHeader">
About You</h2><ul><li>
Builder with an AI operator's instinct. You've shipped real product on top of LLMs&mdash;not just chat wrappers. You've designed agent harnesses, structured tools, written evals, and tuned prompts against production traces. You think in capability, reliability, and unit economics&mdash;not just whether the model says the right thing.</li><li>
Domain-immersed. You enjoy time with the people who do the work&mdash;learning an industry's vocabulary, edge cases, and operational tempo&mdash;and let that shape what you build.</li><li>
High-agency in ambiguity. Dropped into a fuzzy customer problem with a half-formed hypothesis and a deadline, you scope, build, evaluate, and ship without waiting for a spec.</li><li>
Sweat both ends of the stack. You move between prompt iteration, eval design, backend services, and customer-facing UI in the same week, and you care about evals that catch regressions and traces that are easy to debug.</li></ul><div></div><div> 
</div><h2 class="jobSectionHeader">
You Will</h2><ul><li>
Embed with customers and operators to understand how supply chains run today&mdash;then design and ship agents that take meaningful work off their plate.</li><li>
Build production agent systems on frontier LLMs: tool use, sub-agents, retrieval, structured outputs, MCP servers, and the orchestration that ties them together.</li><li>
Own evaluation as a first-class discipline&mdash;datasets from real traces, rubrics and graders, experiments, and improvements you can prove move the needle.</li><li>
Architect the data, services, and APIs the agent layer depends on&mdash;integrating our internal systems with customers' WMS, TMS, and ERP environments.</li><li>
Codify repeatable deployment patterns so each new customer rollout is faster than the last.</li></ul><div></div><div> 
</div><h2 class="jobSectionHeader">
You Have</h2><ul><li>
1+ years of software engineering experience, with a track record of shipping LLM- or agent-based features to production.</li><li>
Strong in Python and/or TypeScript/Node.js, and comfortable designing APIs, distributed systems, and data models in PostgreSQL.</li><li>
Hands-on with the modern agent stack: production-scale prompt engineering, evaluation frameworks, orchestration patterns, and frontier model APIs.</li><li>
A track record of building in fast, ambiguous environments&mdash;ideally at a vertical AI, AI-agent, forward-deployed, or data-product company.</li><li>
Excellent written and verbal communication&mdash;you can run a customer workshop in the morning and write a clean design doc in the afternoon.</li></ul><div></div><div> 
</div><h2 class="jobSectionHeader">
Benefits</h2><ul><li>
Start-up equity</li><li>
Competitive Salary</li><li>
100% Paid health, dental &amp; vision coverage</li><li>
Dinner Provided via DoorDash, free DashPass &amp; stocked kitchen for NY employees</li><li>
Commuter benefit</li><li>
Gympass Benefit</li><li>
✚✚ Additional: One Medical Membership, Gympass, HSA via Optum, Talkspace, HealthAdvocate, Teledoc Health</li></ul><div> 
</div><h2 class="jobSectionHeader">
Salary Range Details</h2>
The compensation range for this position is set between $140,000 and $200,000, reflecting our market analysis and other relevant considerations. However, exceptions may be made for candidates with qualifications that significantly differ from those outlined in the job description.<div> 
</div><h2 class="jobSectionHeader">
Equal Opportunity Employer</h2>
Traba is dedicated to promoting Equal Opportunity employment practices. We evaluate all applicants without discrimination based on race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other characteristics that are legally protected by local, state, or federal regulations. We encourage applicants from a variety of backgrounds, experiences, and skill sets.<div> 
</div><h2 class="jobSectionHeader">
Our Values</h2>
Dream Big - We are on a path to change the world for the better. We create and communicate a bold direction that inspires a life-changing vision. We don&rsquo;t sacrifice long-term value for short-term results.
Olympian&rsquo;s Work Ethic - Changing the world never comes easy. We work harder, longer, and smarter, not just two out of three. We put everything we have on the field.
Growth Mindset - We confront the toughest challenges head-on and persevere. Sometimes we fail, but we brush ourselves off, adapt, learn, and push forward with resilience.
Customer Obsession - We go the extra mile for our workers and businesses. We remain focused on delivering high-quality products and services that solve this massive and overlooked industries&rsquo; problems<div></div> 
Job Applicant Privacy Notice
Compensation Range: $140K - $200K</div>

Software Engineer (AI Agents)

Mercor

<div>
 
 About The Job
 
 
 
 
 Mercor
 
 connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include
 
 Benchmark
 
 ,
 
 General Catalyst
 
 ,
 
 Peter Thiel
 
 ,
 
 Adam D'Angelo
 
 ,
 
 Larry Summers
 
 , and
 
 Jack Dorsey
 
 .
 
 
 
 Position:
 
 ML Engineer (Coding Agent Experience)
 
 
 
 Type:
 
 
 Contract
 
 
 
 
 Compensation:
 
 
 $85/hour
 
 
 
 
 Location:
 
 
 Remote
 
 
 
 
 Role Responsibilities
 
 
 
 <ul>
 <li>
 Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks.
 </li>
 <li>
 Review model-generated implementations involving model training, inference systems, MLOps, and LLM applications.
 </li>
 <li>
 Identify bugs, edge cases, performance issues, and failure modes in AI models.
 </li>
 <li>
 Compare outputs from multiple frontier models and assess their strengths and weaknesses.
 </li>
 <li>
 Apply professional engineering judgment to realistic ML engineering scenarios.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must-Have
 
 
 
 <ul>
 <li>
 2+ years of professional machine learning engineering experience.
 </li>
 <li>
 Experience building production ML systems, model deployment infrastructure, LLM applications, or AI-powered products.
 </li>
 <li>
 Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
 </li>
 <li>
 Ability to evaluate model-generated machine learning implementations and technical tradeoffs.
 
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience deploying ML systems to production.
 
 
 
 </li>
 </ul>
 
 Compensation &amp; Legal
 
 
 
 <ul>
 <li>
 $400 per accepted task
 </li>
 <li>
 Compensation is tied to accepted work.
 
 
 
 </li>
 </ul>
 
 Application Process (Takes 20&ndash;30 mins to complete)
 
 
 
 <ul>
 <li>
 Upload resume
 </li>
 <li>
 AI interview based on your resume
 </li>
 <li>
 Submit form
 
 
 
 </li>
 </ul>
 
 Resources &amp; Support
 
 
 
 <ul>
 <li>
 For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
 </li>
 <li>
 For any help or support, reach out to: support@mercor.com
 
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

AI/ML Engineer - Fully Remote | Upto $85/hr

Databricks

<div><h1 class="jobSectionHeader">Staff Machine Learning Engineer, CustomerLake (ML/LLM)</h1>
RDQ427R109 
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems &mdash; from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best Data Intelligence Platform so our customers can use deep data insights to improve their business. Founded by engineers &mdash; and customer obsessed &mdash; we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. 
As one of the first engineers in the NYC Engineering office, you'll join a small, nimble team building new products from the ground up. We're building CustomerLake, the Customer Data Platform on Databricks, to bring enterprise-grade ML and AI personalization to every company whose data already lives on Databricks. The best B2C and B2B brands have historically relied on in-house ML/AI teams to power personalization, recommendations, churn and lifetime-value modeling, and audience targeting. Our goal is to deliver that same capability to companies that don't have an in-house team but already have their data in order on Databricks. This is a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks. 
The impact you'll have:
<ul><li>Evaluate ML and LLM approaches for CustomerLake's personalization use cases, push the models and algorithms forward, and continuously improve quality over time</li>
<li>Go deep on how models behave in production: inspect individual traces, understand how the models reason, and tune and improve from there</li>
<li>Build the platform and evaluation framework that let CustomerLake customers optimize for real business value such as purchases, retention, and product usage, not vanity metrics like email opens and clicks</li>
<li>Push the team toward new directions and novel methods worth tackling, not just optimizing what already exists</li>
<li>Partner closely with product management, engineering, and design to turn ambiguous customer problems into scalable, trustworthy solutions</li>
<li>Set the technical foundation and best practices for our ML/AI personalization work as we grow this into several roles across our products over the next 1-2 years</li></ul> 
What we look for:
<ul><li>10+ years of engineering experience, with a strong foundation across the full loop of shipping and improving ML/AI products</li>
<li>Hands-on experience building and evaluating ML models and/or LLM systems for real product or business use cases; your understanding is practical, not purely academic, and you can make models work well inside a product</li>
<li>Experience with personalization based on customer behavior (ideal) or transactions (acceptable), such as recommendations, targeting, churn, or lifetime-value modeling</li>
<li>Proficiency in Python and modern ML frameworks (e.g., PyTorch), with hands-on experience in model evaluation and monitoring AI quality in production</li>
<li>Familiarity with LLMs and generative AI, including techniques like retrieval-augmented generation (RAG), prompt design, fine-tuning, and evaluation</li>
<li>A demonstrated product mindset, with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback</li>
<li>High ownership and bias for action in 0-to-1 environments: comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption</li></ul> 
Nice to have:
<ul><li>Experience in martech, ideally a go-to-market or business use case with an analytical (rather than purely transactional) angle</li>
<li>An academic or research background that can help us innovate and develop novel methods</li></ul> 
<div><div><div>Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. 
 
</div><div>Local Pay Range</div>
<div>$192,000&mdash;$260,000 USD
</div></div></div><div>About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
 
 
Benefits
 
 
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 
 
 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</div></div>

Staff Software Engineer - AI/ML

Energy Solutions

<div><div>Interested in joining a growing company where you will work with talented colleagues, enhance a supportive and energetic culture, and be part of the climate solution? At Energy Solutions, we focus on the big impacts. And we believe that market-based programs can be a powerful force to deliver large-scale energy, carbon, and water-use savings. Since 1995, we've harnessed that power to offer proven, performance-based solutions for our utility, government, and institutional customers.</div>
We are seeking a Quality Control Engineer II to join our Information Systems. In this opportunity, you will dive into our core systems&mdash;including our vital IRIS platform&mdash;to champion the accuracy, reliability, and sheer excellence of complex technology solutions. This isn't just about finding bugs; it's your opportunity to actively shape our testing philosophies, elevate quality practices, and pioneer robust validation strategies across our entire software and data ecosystem.

Operating with immense independence, you will design, write, and execute brilliant automated and manual tests, tackling complex technical challenges head-on. You will partner dynamically with engineering teams to supercharge test coverage and ensure flawless delivery, while serving as an inspiring technical mentor and peer trainer who elevates junior engineers through hands-on coaching. If you are a seasoned pro with sharp automation skills who can develop automated UI tests with minimal ramp-up and a passion for driving long-term process evolution, we want you to lead the charge in our quality revolution.

The person filling this role will be required to work in a hybrid work environment adjacent to one of our offices in Oakland, CA; Orange, CA; New York, NY; Portland, OR; Boston, MA; or Chicago, IL 


Responsibilities include, but are not limited to:
<ul>
<li>Design, execute, and maintain manual and automated test approaches for software features, workflows, and integrated systems</li>
<li>Develop and enhance automated testing frameworks and CI/CD quality integrations to improve reliability and scalability</li>
<li>Design and apply test approaches for assigned projects across functional, regression, integration, performance, and security testing</li>
<li>Improve and monitor quality metrics for assigned projects to evaluate test effectiveness, defect trends, and coverage</li>
<li>Partner with engineering teams to integrate testing practices into development, deployment, and release workflows</li>
<li>Develop, maintain, and execute automated test suites using tools such as Selenium, Cypress, Playwright, or Pytest</li>
<li>Write and improve automated UI tests based on prior automation experience and team practices</li>
<li>Perform hands-on testing across assigned systems and projects to identify defects, validate functionality, and reduce delivery risk</li>
<li>Conduct root cause analysis on recurring issues and support preventive actions to reduce defect recurrence</li>
<li>Support quality gate adherence within CI/CD processes and release workflows</li>
<li>Apply testing practices that align with expectations related to privacy, security, accessibility, and quality standards</li>
<li>Serve as a peer mentor and trainer to Quality Control Engineers I and II by sharing expertise and guiding testing practices</li>
<li>Evaluate and adopt new tools, automation techniques, and testing frameworks that improve efficiency and coverage</li></ul> 


Minimum Qualifications:
<ul>
<li>Bachelor's degree in Computer Science, a related technical field, or equivalent technical experience</li>
</ul><ul><li>Six years of experience testing software products in a professional setting</li>
</ul><ul><li>Demonstrated experience designing, developing, and executing test automation and quality assurance practices within complex software environments</li>
</ul><ul><li>Experience working with Agile methodologies and CI/CD environments to support reliable, efficient, and scalable software delivery</li>
</ul><ul><li>Proficiency with test automation tools and frameworks (e.g., Selenium, Cypress, Playwright, Pytest, or similar)</li>
</ul><ul><li>Strong written and verbal communication skills, with the ability to clearly communicate technical findings, testing outcomes, and quality risks to cross‑functional stakeholders</li>
</ul><ul><li>Proficiency in test automation and programming, with the ability to design, write, and maintain automated test cases (including UI tests) and supporting frameworks</li>
</ul><ul><li>Ability to analyze system behavior, identify defects, and resolve complex testing issues independently once familiar with the system and product landscape</li>
</ul><ul><li>Ability to influence testing approaches and quality decisions by providing informed input on coverage, prioritization, and test strategy</li>
</ul><ul><li>Demonstrated ability to evaluate and adopt new testing tools and technologies to improve testing effectiveness and efficiency</li></ul> 


The salary range for this role is $108,000&ndash;$125,000, with a target compensation of $108,000 - $118,000 based on experience and qualifications.<div>
Compensation is commensurate with experience and includes a generous retirement package. Energy Solutions provides an excellent benefits package including medical, dental and vision insurance, other pre-tax contribution plans and an Employee Stock Ownership Plan (ESOP).

AI Use
At Energy Solutions we believe in the importance of authentic interactions and equitable opportunities. We base our candidate selection on one's own skills, knowledge, and experience. To ensure the integrity and fairness of our interview process, the use of artificial intelligence (AI) tools (including Generative AI) or other means to generate or assist with responses during interviews is strictly prohibited. This practice supports our commitment to create a transparent and equitable space where skills, knowledge and experience can truly shine.

Equal Opportunity Employer

Energy Solutions is an affirmative action-equal opportunity employer and prohibits discrimination and harassment of any type. We afford equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristics protected by law. Energy Solutions conforms to the spirit as well as to the letter of all applicable laws and regulations.

Office Locations and a Remote Workforce

Energy Solutions operates as a predominantly remote workforce with offices in six different locations. Employees who reside within 40 miles of an office (except New York) will be assigned to that location, though in-office attendance requirements may vary by team. At this time, we are not accepting applications from candidates residing in the following states: Delaware, Kentucky, Mississippi, Montana, Nebraska, and North Dakota.

Background Check Information

Information will be requested to perform the compulsory background check. A drug screen and authorization to work in the U.S. indefinitely are preconditions of employment. Energy Solutions is an equal opportunity employer.

Reasonable Accommodations

Energy Solutions is committed to providing access and reasonable accommodation for individuals with disabilities. If you require accommodations in completing this application, interviewing, and/or completing any pre-employment testing, or otherwise participating in the employee selection process, please email accommodation@energy-solution.com.

Privacy Notice for Job Applicants</div></div>

Quality Control Engineer III (Hybrid - New York, NY)

JPMorganChase

<div>JOB DESCRIPTION 
 
 
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities<ul><li>
Deliver end-to-end solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices
</li><li>Use domain modelling techniques to allow us to build best in class business products.
</li><li>Structure software so that it is easy to understand, test and evolve.
</li><li>Build solutions that avoid single points of failure, using scalable architectural patterns.
</li><li>Develop secure code so that our customers and ourselves are protected from malicious actors.
</li><li>Promptly investigate and fix issues and ensure they do not resurface in the future.
</li><li>Make sure our releases happen with zero downtime for our end-users.
</li><li>See that our data is written and read in a way that's optimized for our needs.
</li><li>Keep us up to date by continuously updating our technologies and patterns.
</li><li>Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
</li><li>Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
</li></ul>Required qualifications, capabilities, and skills<ul><li>
Formal training or certification on software engineering concepts and 5+ years applied experience</li><li>
Recent hands-on professional experience as a back-end software engineer
</li><li>Experience in coding in a recent version of the Java programming language
</li><li>Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.)
</li><li>Experience with cloud technologies and distributed systems, RESTful APIs and web technologies.
</li><li>Knowledge of messaging frameworks.
</li><li>Hands-on experience designing and building enterprise-scale, high-volume data processing applications using SQL and NoSQL databases.</li><li>
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.</li><li>
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.
</li><li>Understanding with different kinds of data stores (including relational data stores)
</li><li>Seasoned with operating, supporting and the security of mission critical software applications.
</li></ul>ABOUT US 
 
 
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM
 
 
Our Consumer &amp; Community Banking Group depends on innovators like you to serve consumers, small businesses, municipalities and non-profits. You'll support the delivery of award winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers.</div>

Lead Software Engineer - Back End Java or Python

Paramount

<div>
 
 #WeAreParamount on a mission to unleash the power of content&hellip; you in?
 
 
 
 We&rsquo;ve got the brands, we&rsquo;ve got the stars, we&rsquo;ve got the power to achieve our mission to entertain the planet &ndash; now all we&rsquo;re missing is&hellip; YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter &ndash; both for our audiences and our employees &ndash; and aim to leave a positive mark on culture.
 
 
 
 Job Title
 
 : Software Engineer - AI Tooling &amp; Quality Engineering Platforms
 
 
 
 Team
 
 : Global Quality Engineering (GQE)
 
 
 
 Location
 
 : New York City, Los Angeles, San Francisco
 
 
 
 Overview
 
 
 
 Paramount Skydance Corp is seeking a Software Engineer to build AI‑powered tools, backend services, and internal platforms that support the Global Quality Engineering organization.
 
 This is not an &ldquo;in test&rdquo; role
 
 &mdash; you will be developing production‑grade software that accelerates test creation, triage, analysis, and automation workflows across GQE. You will contribute to intelligent systems that improve engineering efficiency and modernize how quality engineering is performed at scale.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build backend services, CLIs, and internal tools that integrate AI capabilities into GQE workflows.
 </li>
 <li>
 Implement features for AI‑assisted test generation, log summarization, and defect triage.
 </li>
 <li>
 Contribute to RAG pipelines, embeddings workflows, and LLM‑powered utilities under senior guidance.
 </li>
 <li>
 Integrate AI tooling into CI/CD pipelines and existing automation frameworks.
 </li>
 <li>
 Collaborate with QE, Platform, and Data Engineering teams to understand requirements and deliver practical solutions.
 </li>
 <li>
 Write clean, maintainable code and participate in code reviews and engineering best practices.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 2+ years of software engineering experience (Java, Kotlin, Python, or similar).
 </li>
 <li>
 Experience building backend services, APIs, or internal tools.
 </li>
 <li>
 Familiarity with LLMs, embeddings, or AI‑assisted development tools (GitHub Copilot, Cursor, etc.).
 </li>
 <li>
 Understanding of cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
 </li>
 <li>
 Strong problem‑solving skills and interest in AI‑driven engineering.
 
 
 </li>
 </ul>
 
 Key Competencies
 
 
 
 <ul>
 <li>
 Curiosity and willingness to learn AI‑driven engineering.
 </li>
 <li>
 Proficient coding fundamentals and attention to detail.
 </li>
 <li>
 Collaboration and communication across engineering teams.
 </li>
 <li>
 Ownership of assigned features and components.
 
 
 </li>
 </ul>
 
 Success Metrics
 
 
 
 <ul>
 <li>
 Delivery of reliable features within AI tooling platforms.
 </li>
 <li>
 Improved triage and test‑creation efficiency for GQE teams.
 </li>
 <li>
 Positive feedback from internal users on usability and impact.
 </li>
 <li>
 High code quality and consistent contribution to team velocity.
 
 
 </li>
 </ul>
 Paramount Streaming, a division within Paramount Global, is the home to the company's direct-to-consumer services spanning free and paid in the form of Pluto TV and Paramount+. Pluto TV is the global leader in free ad-supported TV, delivering more than 1,400 global channels and an extensive library of streaming content, including live and original channels. Paramount+, digital subscription video-on-demand and live streaming service, combines live sports, breaking news, and A Mountain of Entertainment&trade;. Paramount+ features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME&reg;.
 
 
 
 Additional Information
 
 
 
 Hiring Salary Range: $115,920.00 - 173,880.00.
 
 
 The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible.
 
 
 
 What We Offer:
 
 
 
 <ul>
 <li>
 Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits
 </li>
 <li>
 Generous paid time off.
 </li>
 <li>
 An exciting and fulfilling opportunity to be part of one of Paramount&rsquo;s most dynamic teams.
 </li>
 <li>
 Opportunities for both on-site and virtual engagement events.
 </li>
 <li>
 Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.
 </li>
 <li>
 Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount
 
 
 </li>
 </ul>
 Paramount is an equal opportunity employer (EOE) including disability/vet.
 
 
 At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.
 
 
 If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.
 
 
</div>

Software Engineer

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