3811 jobs found

DevOps Engineer - Observability Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 At Uline, we count on reliable, resilient systems to keep up with our growth. As a DevOps Engineer specialized in Observability, you'll help drive that reliability by implementing modern monitoring, automation and orchestration practices that keep our systems performing at their best. Careers Packed with Potential. Backed by 45+ years of success, Uline offers opportunities to grow your career with stability you can count on. Position Responsibilities Work with a modern observability stack (ElasticSearch, Prometheus/Thanos, OpenTelemetry, Grafana etc.) and help shape what comes next. Build and automate infrastructure provisioning using Terraform, Kubernetes, GitHub Actions, ArgoCD, or similar tools. Drive end-to-end visibility across distributed systems with real-time metrics, logs, traces, and SLO-based alerting. Influence architecture decisions and help define best practices for performance, reliability, and incident response. Minimum Requirements Bachelor's degree in information technology, computer science or a related field. 3+ years of hands-on experience with ElasticSearch or HashiCorp Vault with expertise in installation, configuration, support, log analysis and performance tuning. 3+ years of experience with Docker or Kubernetes container orchestration tools & IaC automation tools. Experience with AI / ML in operations (AIOps) a plus. Uline does not participate in the H1-B lottery. Benefits Complete health insurance coverage and 401(k) with 6% employer match that starts day one! Multiple bonus programs. Paid holidays and generous paid time off. Tuition Assistance Program that covers professional continuing education. Employee Perks On-site café and first-class fitness center with complimentary personal trainers. Over four miles of beautifully maintained walking trails. About Uline Uline, a family-owned company, is North America's leading distributor of shipping, industrial, and packaging materials with over 9,800 employees across 14 locations. Uline is a drug-free workplace. All new hires must complete a pre-employment hair follicle drug screening. All positions are on-site. EEO/AA Employer/Vet/Disabled () Our employees make the difference and we are committed to offering exceptional benefits and perks! Explore Uline.jobs to learn more!

Software Engineer - Kubernetes Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 Are you an expert at developing software solutions from start to finish? Then you belong at Uline! As a Software Engineer, you'll work with teams to help design enterprise-grade systems for one of the largest e-commerce sites in the U.S. Careers Packed with Potential. Backed by 45+ years of success, Uline offers opportunities to grow your career with stability you can count on. Position Responsibilities Support the transition to a resilient, always-on microservices architecture on RedHat OpenShift. Develop and maintain scalable cloud-native applications using Java and Spring Boot. Implement system monitoring and logging tools like DynaTrace, Grafana and Elastic Stack. Help build and automate CI / CD pipelines with Tekton and Argo CD to streamline deployments. Minimum Requirements Bachelor's degree in Information Technology, Computer Science or related field. 4+ years of Java development and SQL experience. 2+ years of Microservices development with Java Spring framework. Experience deploying and managing Java microservices on Kubernetes platforms such as RedHat OpenShift. Uline does not participate in the H1-B lottery. Benefits Complete health insurance coverage and 401(k) with 6% employer match that starts day one! Multiple bonus programs. Paid holidays and generous paid time off. Tuition Assistance Program that covers professional continuing education. Employee Perks On-site café and first-class fitness center with complimentary personal trainers. Over four miles of beautifully maintained walking trails. About Uline Uline, a family-owned company, is North America's leading distributor of shipping, industrial, and packaging materials with over 9,800 employees across 14 locations. Uline is a drug-free workplace. All new hires must complete a pre-employment hair follicle drug screening. All positions are on-site. EEO/AA Employer/Vet/Disabled () Our employees make the difference and we are committed to offering exceptional benefits and perks! Explore Uline.jobs to learn more!

Senior Software Developer - Java Pay from $96,000 to $148,000 per year Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 Are you ready to design, innovate and lead in a collaborative, cutting-edge tech environment? Uline is seeking a Senior Java Software Developer to spearhead the development, deployment and maintenance of sophisticated Java applications. Your expertise will shape the tech landscape for our growing North American company! Careers Packed with Potential. Backed by 45+ years of success, Uline offers opportunities to grow your career with stability you can count on. Position Responsibilities Craft, test and deploy robust Java applications aligned with business needs using industry-leading technologies and coding standards. Conduct code reviews, optimize performance and ensure application responsiveness while maintaining top-notch quality. Assist in architectural design reviews and project planning, lending your insights for strategic advancements. Guide and mentor fellow developers, exhibiting leadership in cross-functional development practices. Collaborate closely with the development team to ensure consistent processes and timely deliverables. Minimum Requirements Bachelor's degree in Computer Science, Software Engineering or relevant programming education and experience. 7+ years of hands-on Java full stack development, with a strong track record in enterprise solutions using Spring framework. Extensive experience in REST web services, microservice environments, Git, JPA, SQL, JSON, SOAP, XML and code versioning tools. Working knowledge of caching, service discovery, CI / CD tools and familiarity with Agile methodologies. Uline does not participate in the H1-B lottery. Benefits Complete health insurance coverage and 401(k) with 6% employer match that starts day one! Multiple bonus programs. Paid holidays and generous paid time off. Tuition Assistance Program that covers professional continuing education. Employee Perks On-site café and first-class fitness center with complimentary personal trainers. Over four miles of beautifully maintained walking trails. About Uline Uline, a family-owned company, is North America's leading distributor of shipping, industrial, and packaging materials with over 9,800 employees across 14 locations. Uline is a drug-free workplace. All new hires must complete a pre-employment hair follicle drug screening. All positions are on-site. EEO/AA Employer/Vet/Disabled () Our employees make the difference and we are committed to offering exceptional benefits and perks! Explore Uline.jobs to learn more!

Senior Software Developer - Java Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL 60085 Are you ready to design, innovate and lead in a collaborative, cutting-edge tech environment? Uline is seeking a Senior Java Software Developer to spearhead the development, deployment and maintenance of sophisticated Java applications. Your expertise will shape the tech landscape for our growing North American company! Careers Packed with Potential. Backed by 45+ years of success, Uline offers opportunities to grow your career with stability you can count on. Position Responsibilities Craft, test and deploy robust Java applications aligned with business needs using industry-leading technologies and coding standards. Conduct code reviews, optimize performance and ensure application responsiveness while maintaining top-notch quality. Assist in architectural design reviews and project planning, lending your insights for strategic advancements. Guide and mentor fellow developers, exhibiting leadership in cross-functional development practices. Collaborate closely with the development team to ensure consistent processes and timely deliverables. Minimum Requirements Bachelor's degree in Computer Science, Software Engineering or relevant programming education and experience. 7+ years of hands-on Java full stack development, with a strong track record in enterprise solutions using Spring framework. Extensive experience in REST web services, microservice environments, Git, JPA, SQL, JSON, SOAP, XML and code versioning tools. Working knowledge of caching, service discovery, CI / CD tools and familiarity with Agile methodologies. Uline does not participate in the H1-B lottery. Benefits Complete health insurance coverage and 401(k) with 6% employer match that starts day one! Multiple bonus programs. Paid holidays and generous paid time off. Tuition Assistance Program that covers professional continuing education. Employee Perks Café featuring affordable daily meal options from local restaurants. On-site fitness center and beautifully maintained walking paths. Best-in-class, clean, modern facilities. About Uline Uline, a family-owned company, is North America's leading distributor of shipping, industrial, and packaging materials with over 9,800 employees across 14 locations. Uline is a drug-free workplace. All new hires must complete a pre-employment hair follicle drug screening. All positions are on-site. EEO/AA Employer/Vet/Disabled () Our employees make the difference and we are committed to offering exceptional benefits and perks! Explore Uline.jobs to learn more!

Want to Get Hired by Fortune 500 Companies? SynergisticIT makes it happen If you're a Java developer, software programmer, data scientist, or data analyst struggling to break into the tech industry, you're not alone. The job market is competitive, and many talented professionals find themselves stuck in a cycle of applications, rejections, and missed opportunities. That's where SynergisticIT comes in. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on what employers want now. Why SynergisticIT Is Different SynergisticIT offers a placement-first approach designed to close the gap between where you are and where you need to be to get hired. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. Note: Internships, freelance, or personal projects will not be considered toward experience requirements. If you submit your resume, please be advised it may be entered into a central database shared by our JOPP team (our placement program). You may unsubscribe if you receive emails. All visa types and U.S. citizens are encouraged to apply. Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Candidates on F1/OPT needing a job for STEM extension or H-1B filing End-to-End Job Placement Support -we connect you with employers actively looking for entry-level talent. Our candidates have recently landed roles at Google, Visa, Client, Walmart, Mcdonald's, Apple, PayPal, Wayfair, Walgreens, Client and many more. Please check the below links: SynergisticIT USA Today Article Videos of Synergisticit At OCW, JAVAONE, GARTNER SUMMIT please read our blogs: Why do Tech Companies not Hire recent Computer Science Graduates SynergisticIT Technical Skills or Experience? Which one is important to get a Job? SynergisticIT Backend vs. Full Stack Development: Job Prospects SynergisticIT What Recruiters Look for in Junior Developers SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs - SynergisticIT Is AI Going to Replace Software Programmers? SynergisticIT High salary outcomes-our candidates earn between $81K and $150K annually We don't outsource. We don't do third-party placements. We help Jobseekers get hired with U.S.-based employers who are actively hiring full-time talent. Important Notes No third-party submissions or C2C candidates No phone inquiries-shortlisted candidates will be contacted directly All visa types and U.S. citizens are encouraged to apply Ready to Get Hired? If you're tired of being overlooked, underpaid, or stuck in the job hunt, SynergisticIT is your launchpad. candidates don't just get jobs-they build careers. Your future in tech starts now-with SynergisticIT. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Job Summary We are seeking a Network Engineer with strong Data Center experience to support and maintain large-scale infrastructure environments. The ideal candidate will have 5+ years of experience managing enterprise network infrastructure, including load balancers, firewalls, switching, and virtualization platforms. This role involves supporting a large data center environment (40+ racks) and ensuring high availability, performance, and security of network systems. The candidate must be comfortable working with physical infrastructure, cabling, and hardware installation when required. This is an on-site position based in Weehawken, NJ. Key Responsibilities Data Center Infrastructure Support and maintain large-scale data center environments (40+ racks). Install and manage network hardware including switches, routers, and servers. Work with Cat5e/Cat6 and fiber optic cabling (fiber termination is a plus). Monitor and maintain rack power infrastructure including PDUs and power distribution systems. Assist with rack layout, power balancing, and equipment installation. Install and configure physical servers including racking, stacking, and cabling. Configure RAID storage arrays and install operating systems during physical server deployment. Network Systems Configure and maintain Layer 3 routing environments including VLANs, inter-VLAN routing, and switching. Manage load balancing (F5) and firewall configurations (WatchGuard). Work with FS and Client switches in production environments. Support high-speed data center networking (10G / 25G / 40G). Implement and maintain data center redundancy and high-availability network architecture. Experience troubleshooting complex Layer 2 / Layer 3 network issues. Monitoring & Operations Implement, manage and maintain network monitoring systems. Troubleshoot network performance issues and outages. Participate in incident response and root cause analysis. Virtualization & Systems Support environments using Xen virtualization technology. Work with Linux systems including CentOS and Ubuntu. Assist with infrastructure automation and AI-related infrastructure where applicable. Required Qualifications 5+ years of network engineering experience Experience working in large infrastructure environments Experience with F5 Load Balancers Experience with WatchGuard firewalls Experience with FS and Client switches Experience configuring VLANs and network segmentation Experience with Linux systems (CentOS, Ubuntu) Experience with network monitoring tools Preferred Qualifications Experience with fiber optic termination Experience supporting large data center deployments Exposure to AI infrastructure environments Experience working with virtualization technologies (Xen) Professional Qualities Strong team player with the ability to collaborate effectively across technical teams Willingness to share knowledge, mentor team members, and contribute to team documentation Strong communication and problem-solving skills Ability to work independently while maintaining strong collaboration with the team Physical Requirements Ability to lift up to 50 lbs. Ability to work in data center environments Ability to work off-hours or during maintenance windows when necessary Location Requirements Candidate must reside within 30 minutes of Weehawken, NJ to support on-site data center operations when necessary.

500+ Leetcode Problems! -Still No Offers? Let's Get You Hired with SynergisticIT. You've done a ton of Leetcode. You've racked up certificates, aced LeetCode challenges, and you know your way around system design like the back of your hand. On paper, you're everything a tech company wants. However tech stacks and requirement change every day. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Open Roles We're Hiring For our clients: Entry-Level Software Programmers (Java/Python) Java Full Stack Developers Data Analysts & BI Engineers Data Scientists & ML Engineers All visa types and U.S. citizens are encouraged to apply. Note: Internships, freelance, or personal projects will not be considered toward experience requirements. If you submit your resume, please be advised it may be entered into a central database shared by our JOPP team (our placement program). You may unsubscribe if you receive emails. Check the links below: Please check the below links: SynergisticIT USA Today Article Videos of Synergisticit At OCW, JAVAONE, GARTNER SUMMIT We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Candidates on F1/OPT needing a job for STEM extension or H-1B filing Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. Top tech companies are flooded with smart grads. What gets you in the door now is real-world application, confidence in delivery, and the soft skills to own a room-or a Zoom. please check the below links Why do Tech Companies not Hire recent Computer Science Graduates SynergisticIT Technical Skills or Experience? Which one is important to get a Job? SynergisticIT Backend vs. Full Stack Development: Job Prospects SynergisticIT What Recruiters Look for in Junior Developers SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs - SynergisticIT Is AI Going to Replace Software Programmers? SynergisticIT The Market's Changed-Have You? Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

"Ghosted by companies after Interviews and/or Failing Interviews? or worse no Interviews?-Start getting offers" For jobseekers who get interviews but don't convert them into offers If you're getting interviews but not offers, you're closer than you think-yet that final gap can feel brutal. Many candidates spend months learning frameworks and finishing courses, only to freeze during technical screens, system questions, or behavioral rounds. The result is painful: "almost hired" over and over again, while the confidence drops. The truth is that interviewing is its own skill, and most bootcamps don't teach it deeply. They teach how to code-but not how to think out loud, structure answers, debug in real time, defend trade-offs, and communicate like an engineer. Since 2010, SynergisticIT has helped candidates land full-time roles with many major employers. The best way to understand this: you can be smart and still fail interviews if you don't know what the interview is truly measuring. Interviews rarely test "can you write code at home." They test: Can you solve problems under constraints and time pressure? Can you communicate your approach clearly? Can you handle edge cases and complexity? Can you explain trade-offs and design choices? Can you show job-ready project depth, not just toy examples? SynergisticIT focuses on roles such as entry-level software programmers, Java full stack developers, Python/Java developers, Data Analysts, Data Engineers, Data Scientists, and Machine Learning Engineers. The focus areas include Java / Full Stack / DevOps and Data tracks like Data Engineering, Data Analytics/BI, ML/AI, because those are the roles employers continue to hire for. If your pattern is "I reach interviews but don't clear them," you likely need three upgrades: Stronger project narratives (what you built, why it matters, how it works) Stronger technical foundations (DSA, OOP, APIs, SQL, pipeline design) Mock interview reps (realistic simulation, feedback, improvement loops) Many jobseekers underestimate how much hiring is about clarity. You don't need to be perfect-you need to show you can think, collaborate, and deliver. That's why guided mock interviews and structured interview coaching can be a game-changer. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates SynergisticIT What Recruiters Look for in Junior Developers SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs - SynergisticIT Ideal candidates for this version include: Candidates who get interviews but repeatedly fall short Jobseekers stuck in "screen round limbo" Developers who panic during live coding Candidates who can build projects but struggle to explain them Professionals who haven't interviewed in years and feel rusty Career changers who fear "I'm behind CS grads" (often untrue with support) SynergisticIT provides support for candidates navigating STEM OPT extension, H1B filing, and Green Card processes (where applicable), which can matter when timing is critical. Event videos (OCW, JavaOne, Gartner): USA Today feature If you're tired of failing interviews and want a structured plan to convert interviews into offers, start here: Contact SynergisticIT: Because getting hired isn't about trying harder-it's about preparing smarter, practicing correctly, and having the right guidance. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Failing Interviews or not getting Interviews Isn't a Talent Problem. It's a Tech stack Problem. If you're getting interviews but not offers, you're closer than you think-and that's the most frustrating stage to be in. You've already proven you're employable enough to get screened, but something breaks during technical rounds: data structures, problem-solving, system design, project explanations, or even the way you communicate tradeoffs. Most candidates don't fail because they're "not smart." They fail because they prepared the wrong way-watching tutorials, building shallow projects, or memorizing answers without mastering fundamentals. SynergisticIT's approach is built for this exact scenario. Since 2010, SynergisticIT has helped candidates move from "almost" to "offer," with our candidates landing salaries typically ranging from $90,000 to $154,000 depending on role and stack. Candidates have received offers from employers such as Apple, Google, PayPal, Visa, Wells Fargo, Client, Client, Banking, Walmart Labs, AutoZone, Client, Client, and more. SynergisticIT works with clients hiring for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers. The focus is on high-demand tracks: Java / Full Stack / DevOps and Data (Analytics/Engineering/Science) + Machine Learning/AI. Interview success improves when you can demonstrate not only coding ability, but also the "end-to-end" thinking employers want: APIs, backend design, database decisions, cloud deployment, CI/CD, and real project narratives. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates SynergisticIT What Recruiters Look for in Junior Developers SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs - SynergisticIT Ideal candidates for interview-focused support include: recent grads with limited experience, candidates stuck after multiple interviews, professionals returning after layoffs, candidates with career gaps, and international candidates on F1/OPT who need employment to maintain status and pursue STEM extension/H-1B pathways. SynergisticIT also supports the candidate journey by assisting with STEM extension and providing process support for H-1B/green card filing through employment partners (actual filing depends on the employer). Explore resources and get started: If you want to explore the program directly, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact: If you're tired of being "final round" without the offer, stop guessing and start preparing with a plan. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

"Failing Tech Interviews? Or Not getting any Interviews ? Turn 'Frustration' Into an Offer." Getting interviews but not converting them into offers is one of the most frustrating stages of a tech job search. It's also one of the most fixable-because interview performance is rarely about intelligence. It's usually about preparation structure, repetition, communication clarity, and knowing what interviewers actually test. Many candidates learn coding, but they don't learn how to present their skills under pressure. SynergisticIT is designed for candidates who want to stop guessing and start improving with a clear framework. Since 2010, SynergisticIT has helped thousands of candidates land full-time jobs at tech leaders and enterprise employers-companies such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Client, and many more-with offers often ranging from $95,000 to $154,000 depending on role and skill depth. The focus is: build job-ready ability + interview confidence + hiring alignment so you can close the deal when opportunities appear. Why do people fail interviews after doing CS or online courses? Typically it's one (or several) of these gaps: Weak fundamentals (you know syntax, but not the "why") Poor project explanation (you built something, but can't defend design decisions) Shallow system understanding (APIs, DB design, CI/CD, cloud basics are fuzzy) No repetition under pressure (whiteboard/online assessments feel unfamiliar) Lack of structured mock interview practice SynergisticIT addresses these gaps by treating interviews as a skill you work on-like a sport. You don't just watch videos; you practice real drills. We emphasize on real interview patterns: coding questions, debugging, project walkthroughs, behavioral responses, and the ability to speak clearly about your work. What kinds of roles are being targeted? Instead of chasing every shiny trend, JOPP focuses on roles employers repeatedly hire for: Java full stack, software programming, Python/Java development, DevOps, data analyst, data engineer, data scientist, and ML/AI engineer. In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI-because companies hire teams, not single-skill candidates. Ideal candidates who benefit from interview-focused help This includes: recent grads with limited experience, laid-off professionals re-entering the market, career changers, candidates with gaps, experienced applicants who can't convert interviews, and F1/OPT candidates needing a stable path. SynergisticIT also supports candidates with guidance around STEM extension and offers process support relating to H-1B/Green Card filing once employed (as applicable through employers and standard immigration processes). If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact Form (Get Started): If you're already getting interviews, you're closer than you think. Now it's time to train like you mean it-and turn interviews into offers. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates SynergisticIT What Recruiters Look for in Junior Developers SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs - SynergisticIT Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Company: One of our consumer AI investments is hiring an ML Infrastructure Engineer. The founding team helped build iconic consumer products at Pinterest, Lyft, Whatnot, Grubhub, and others. We led the Seed round, and the company is finalizing a Series A with another tier-1 VC. Team size: 20+ (and growing) The opportunity: You'll be an early ML Infra hire helping scale training and inference systems that directly power a consumer product. This is a hands-on role with real ownership: reliability, performance, cost, and developer velocity. What you'll do: Build and operate large-scale ML infrastructure for training and inference (GPU compute, orchestration, model serving) Own core systems for data and feature pipelines, model artifacts, experiment tracking, and evaluation Improve observability and reliability across ML and production systems (monitoring, debugging, incident response, SLAs) Drive efficiency across the stack (latency, throughput, cost, capacity planning) Partner closely with researchers/ML engineers/product engineers to unblock shipping Role (key traits): 3+ years building large-scale distributed systems infrastructure; 2+ years building modern ML systems in industry: ML training and inference systems, large-scale distributed infrastructure, GPU-backed compute, Kubernetes and cloud infrastructure, production reliability, Python + a systems language, PyTorch or TensorFlow BSCS or equivalent (MSCS preferred) Strong coding and systems fundamentals (production-grade engineering, not just prototypes) Good fit for this role if you have: Owned production ML training and/or serving infrastructure end-to-end (not just model development) Experience with distributed compute and data systems (scheduler/orchestration, storage, streaming/batch, reliability) Comfort operating systems in production: on-call mindset, instrumentation, performance tuning, cost discipline Built internal platforms that improved ML developer velocity (reusable pipelines, tooling, paved roads) Enjoyed ambiguity while moving quickly with a small team, and you like building "the system" as much as "the model" Not a good fit for this role if you're primarily: Focused on research or model architecture work and don't want to own production systems Looking for a role with minimal on-call/ops responsibilities or limited accountability for reliability Experienced only with notebooks/prototypes and not with production-grade infra and debugging Targeting more specialized scope rather than broad ownership across the ML stack About Us: Greylock is an early-stage investor in hundreds of remarkable companies including Figma, Rubrik, Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, among others. More can be found about us here: And, as full-time, salaried employees of Greylock, we provide free candidate referrals/introductions to our active investments to help them grow/succeed (as one of the many services we provide). Please note: We are not recruiting for any roles within Greylock at this time only for openings within our portfolio.

Base pay range $140,000.00/yr - $240,000.00/yr Until is a moonshot company building a "pause button" for biology. Our near term focus is organ scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, we're laying the foundation for whole body reversible cryopreservation, giving patients a bridge to future cures. To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, and vitrification and rewarming hardware. We are also building out our medical hibernation team to tackle the challenges of whole body cryopreservation, beginning with rodent models. We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely wait for future medicine to arrive. About The Role As a Machine Learning Engineer / Scientist at Until, you will be an early member of the computational team defining how experimental data becomes insight and drives the next round of scientific discovery. You'll build high leverage ML systems that help develop new cryoprotectant formulations, engineer biologically inspired antifreeze proteins, and understand the physics of vitrification and rewarming. You will own projects end to end, including shaping data collection and designing data pipelines, training and evaluating models, and deploying tooling that scientists use daily. About You Degree in Computer Science or a related field (Applied Mathematics, Statistics, Data Science, Computational Biology) Excellent foundations in the mathematics that underlies machine learning, including linear algebra, probability, statistics, and calculus. Strong experience in modern machine learning approaches, such as representation learning, generative modeling, active learning, and Bayesian optimization. Track record of developing ML approaches for scientific discovery, as evidenced by a strong publication record, substantial open source contributions, or deployment of a machine learning system in an industry role. Demonstrated ability to write modular, maintainable, and performant code in Python. Fluency with the Python data science and ML stack, including PyTorch, NumPy, SciPy, Pandas/Polars, Matplotlib/Plotly. Proficient with developer tooling, including Linux command line, Git, and shell scripting. Ability to think from first principles and tackle complex, cross disciplinary problems with other scientists and engineers. Preferred Qualifications 3+ years of relevant professional or research experience, or a PhD in a computational field. Strong understanding of computer science fundamentals, including algorithms, operating systems, and concurrency. Experience with cloud infrastructure (AWS, GCP) and SQL databases. Benefits Opportunity for outsized impact creating the future as an early team member. Generous medical, dental and vision insurance coverage. Flexible time off and paid holidays. Competitive compensation package, including salary and equity. 401(k) retirement savings plan. FSA and commuter benefits. Subsidized lunch daily. As an equal opportunity employer, Until is committed to providing employment opportunities to all individuals. All applicants for positions at Until will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. While this represents our expected range based on market data, final compensation will be determined based on your specific qualifications and may be outside this range. Please keep in mind that the equity portion of the offer is not included in this estimate.

Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI. This position will be a key contributor in conducting applied research in Robotics and developing ML pipelines for training and fine tuning on data collected by Scale. In this role, you will have the opportunity to advance Robotic research, shape Scale's robotics offerings, and expand the frontier of Robotics data and model evaluation. We are seeking an exceptionally motivated and experienced Senior Machine Learning Engineer, Computer Vision to drive cutting edge research and development in real time and offline 2D and 3D algorithms. The successful candidate will be a hands on technical leader responsible for translating complex computer vision algorithms from research papers into robust, production ready systems that power our next generation products. This role requires a deep theoretical background combined with substantial practical experience working with spatial and temporal data. You will: Pioneer Core CV Algorithms: Lead the research, design, and implementation of novel computer vision and deep learning algorithms, with a specialized focus on 2D and 3D data (e.g point clouds). Focus Area Expertise: Drive innovation in key perception areas, including: 3D Reconstruction and SLAM: Advanced techniques for real time 3D mapping, pose estimation, and environmental modeling from multi modal sensor inputs (e.g., RGB D, LiDAR). Hand/Body Tracking: Developing robust and precise models for hand pose estimation, gesture recognition, and full body tracking under various lighting and occlusion conditions. Object Detection and Tracking (MOT/SOT): Designing high performance deep learning models for accurate detection and persistent tracking of objects and people in video streams. Video Processing: Creating algorithms for temporal feature extraction, video based action recognition, and motion analysis. Model Optimization: Optimize computationally intensive models for deployment on edge devices (low power, low latency) and/or large scale cloud infrastructure. Technical Leadership: Serve as the subject matter expert in Computer Vision, providing technical direction and mentorship to junior engineers and cross functional teams. Publication & IP: Maintain state of the art knowledge, evaluate recent academic publications (e.g., CVPR, ICCV, ECCV), and drive the filing of patents and publication of novel research. Cross Functional Partnering: Collaborate closely with Software Engineering, Product, and Hardware teams to define requirements, integrate vision systems, and ensure solutions meet performance targets. You have: Ph.D. in Computer Science, Computer Engineering, or a related quantitative field (Mathematics, Electrical Engineering, etc.) OR a Master's degree with 4+ years of equivalent professional experience in an applied research setting. 5+ years of hands on experience in algorithm development for 2D/3D computer vision and deep learning. Deep Learning Frameworks: Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax). Programming: Mastery of Python for machine learning and strong proficiency in C++ for performance critical algorithm implementation. 2D/3D Fundamentals: In depth knowledge of classical and modern computer vision fundamentals, including multi view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles. Building real time and batch ML systems that analyze structured and unstructured signals. Hands on experience rapidly prototyping and iterating on ML systems with changing requirements. Nice to haves: Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax). Mastery of Python for machine learning and strong proficiency in C++ for performance critical algorithm implementation. In depth knowledge of classical and modern computer vision fundamentals, including multi view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles. Building real time and batch ML systems that analyze structured and unstructured signals. Hands on experience rapidly prototyping and iterating on ML systems with changing requirements. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high quality data and full stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Base salary range for this full time position in the location of San Francisco: $218,400 - $273,000 USD

Senior Fullstack Software Engineer, Workshop Management Join to apply for the Senior Fullstack Software Engineer, Workshop Management role at Waymo Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's commercial service is up and running in multiple cities, with ambitious plans to expand dramatically in the coming years; the associated infrastructure is in an early stage and requires significant investment for Waymo to grow into a high scale, world-class service. Increasing demand for Waymo's ride-hailing service will drive evolution of our systems, providing an opportunity-rich environment to solve hard, ambiguous, high-impact, cross-functional problems. Team: Fleet Management Project: Workshop management; focused on planning and executing vehicle maintenance and uptime software. In this hybrid role, you will report to an Engineering Manager. You Will Design, develop, test, and optimize Angular applications using Typescript and modern development techniques. Build and evolve mission-critical tools and systems that allow Waymo to scale and serve new markets. Collaborate with Product, UX, and other engineers to design and develop internal user-facing products. Ship solutions to novel problems that arise in a fast-paced environment. Collaborative - work across team boundaries Cross-functional - work with PM, UX, legal, operations, or other non-engineering roles Independence / leadership - take ownership and drive efforts to completion You Have Bachelor's degree in Computer Science or equivalent practical experience. 4+ years of experience in full-stack development. Strong understanding of web development fundamentals including HTML, CSS, and modern JavaScript/TypeScript. Knowledge of common frontend web development frameworks (e.g., Angular, React, Vue). Interest in backend development. Experience with 3rd party integrations and public APIs We Prefer Familiarity with Google infrastructure (e.g. Flume, Borg, Protocol Buffers, OnePlatform) or GCP equivalent Backend experience in Java, Python, Go, C++ or similar. Working knowledge of frontend frameworks (e.g. Angular, Dart) Scalability experience Experience in the automotive industry Salary Range $170,000-$216,000 USD Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

1 day ago Be among the first 25 applicants The Atlantic is looking for an innovative, analytical, and curious Senior Engineer. We aim to support a more thoughtful American public by powering and expanding our Pulitzer Prize winning journalism. Guided by our readers and informed by data, you will build products to amplify our impact and reach in this role. We pride ourselves on maintaining an inclusive and diverse culture that values continuous learning, elegant problem solving, supportive teamwork, and delivering value. Minimum Qualifications 6+ years of full-stack software development experience, including 3+ years of React Native development Professional experience with JavaScript/TypeScript and at least one backend language (Python preferred) Experience shipping and maintaining mobile applications on iOS and Android platforms Experience deploying and maintaining production systems using cloud infrastructure (AWS or GCP), containerization, and CI/CD pipelines Preferred Qualifications Experience with React, Django, GraphQL, and infrastructure tools (Docker, Terraform) Experience with native iOS (Swift/Objective-C) or Android (Kotlin/Java) development 2+ years in a technical leadership role (leading projects, mentoring, or architectural decisions) Experience designing scalable systems and working with AWS/GCP cloud services Background in media/publishing platforms with third-party integrations and data pipelines As An Atlantic Engineer, You Will Hit the ground running to write, test, debug, document, and deploy code across our full stack, with a primary focus on mobile development in React Native. Partner with the Product and Design teams to collaboratively translate ambiguous requirements into well-scoped technical solutions. Participate in and contribute to code reviews, stand-ups, sprint planning, retrospectives, and technical documentation. Participate in on-call rotation (outside of standard business hours) to monitor, troubleshoot, and resolve production incidents, ensuring system reliability and uptime. Research and recommend technical solutions for future product features, evaluating new technologies and presenting recommendations with clear tradeoff analysis. Demonstrate technical leadership by mentoring engineers, establishing best practices, and helping maintain quality standards across the engineering department. The role will at times include night, early-morning, and weekend work. As An Atlantic Engineer, You Are A talented programmer: You are proficient in modern full stack web development. You can design a RESTful or GraphQL microservice with proper error handling, wire it up to a data model, run the app locally in a Docker container, write a frontend service to consume the data, and deploy it to production. You write clean, maintainable code. Knowledgeable: You work effectively within established architectures and follow industry best practices. You stay current with security, accessibility, and performance standards. Flexible: Although you typically work with a suite of proven tools, you are curious and open to new solutions and industry trends. You can evaluate whether a new technology genuinely solves an existing problem. A strong communicator: You communicate promptly, clearly, proactively, and empathetically with teammates and stakeholders. You can explain technical concepts to non-technical colleagues, provide constructive code review feedback, and surface risks early. A pragmatic technologist: You gravitate towards the simplest viable solution that balances current and near-term needs. You value quality, but a desire for perfection doesn't draw your work off of the critical path. A critical thinker: You think creatively and innovatively when approaching your work. Given a product requirement, you can break it into technical tasks, identify dependencies and risks, and execute with minimal oversight. Adaptable: You are excited to work on a variety of projects of different sizes, using different technologies. You are agile, a quick learner, and highly motivated to perform at the highest level. A team player: You take initiative in offering help to team members, including pair programming and knowledge sharing. You encourage and support the development of your teammates. You value team camaraderie and thrive in an environment fueled by discussion and debate. An interest in the pursuit of truth: You recognize the fundamental importance of journalism and have a desire to see it thrive. Salary Salary minimum: $115,000; Salary maximum: $150,000 This is a Guild Position About The Atlantic The Atlantic has, for more than 160 years, advanced ideas that matter and sparked global conversation on the most important issues of our time. We aim to bring clarity and original thinking to questions of consequence on topics ranging from politics, the economy, and global affairs to technology, science, and culture. As the third-longest-running magazine in America, we find ourselves at a remarkable moment: one of both continuation and transformation, of upholding our legacy while continuously reinventing ourselves for the future. The Atlantic Monthly Group LLC ("The Atlantic") is an Equal Opportunity Employer. The Atlantic is committed to diversity and encourages members of traditionally underrepresented communities to apply, including women, LGBTQ people, people of color, and people with disabilities. We do not discriminate against our applicants because of race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, age, disability, veteran status, genetic information, or any other status protected by applicable law. Job offers to work at The Atlantic are contingent upon the candidate's successful completion of reference checks and compliance with The Atlantic's COVID-19 vaccination policy. The Atlantic requires all employees to be vaccinated against COVID-19, including subsequent boosters, and submit proof of vaccination status. Employees who cannot receive the vaccine because of a disability/medical contraindication or sincerely-held religious belief may request an accommodation (e.g., an exemption) to this requirement. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Book and Periodical Publishing Referrals increase your chances of interviewing at The Atlantic by 2x Get notified about new Senior Engineer jobs in Washington, DC.

Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Project Overview What Does a Typical Day Look Like? Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills Several years of software engineering experience (+5 years), including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, ) Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at and earn money from your network.

Chalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities. Our platform combines the performance of Rust with elegant tools that developers love to use. Leading companies depend on Chalk for a variety of use-cases including stopping fraudulent credit card swipes, verifying identities, and maximizing clean energy capture. About the role We are hiring experienced Frontend Software Engineers to join our team. In this role, you will be responsible for defining strong front-end architecture patterns, leading development of well abstracted reusable components, and collaborating across teams to increase developer velocity. You will excel in this role if you're an experienced engineer with deep front-end expertise who can collaborate effectively across multiple teams and functions to deliver results. This is an opportunity to join us in-person as an early employee and make a large impact at a high growth start-up. You will tackle challenging engineering problems with a high degree of autonomy and ownership. We work in-person Monday through Friday in our SF office. We don't currently offer remote or hybrid positions. We are looking for software engineers who are comfortable solving business problems across all layers of the software stack, with a specific focus on frontend engineering. At Chalk, we build reliable data processing systems that can operate performantly at scale with a laser-focus on developer experience. We need engineers who can build world-class user experiences across web and command-line surfaces, while also understanding and contributing to a codebase that contains ideas from compilers, query planners, and distributed systems. What you will do Work directly with Chalk's co-founders to productionize our first iteration Write TypeScript (React), Python, Go Drive frontend architecture discussions and technical breakdowns. Expose the functionality of our core platform to data scientist and machine learning end-users in their home environments Iterate rapidly to improve Chalk's platform in response to customer needs What we're looking for 2+ years experience of professional software engineering experience Working knowledge of computer science fundamentals. We're not looking for experience from drilling leet code - we need folks who are comfortable building and maintaining real applications You have a deep technical understanding of frontend technologies, patterns, and best practices. You have a firm understanding of backend systems which enable you to collaborate on problems that span the entire stack An eye for high-quality UX Track record of learning new concepts quickly Ability to work autonomously & to make pragmatic tradeoffs with an eye towards business outcomes Experience implementing data infrastructure Experience working with developer tools Experience with applied machine learning or data analytics Experience with Go ️Comprehensive medical, dental, and vision insurance Retirement savings 15 company holidays each year ️15 days of personal time off each year Flex Commuter Benefits Daily lunch and dinner on Chalk Office is fully-stocked with drinks and snacks to fuel your work day. ️ Staying late? Dinner is on us Compensation Range: $120K - $220K Actual compensation awarded to successful candidates will be based on several factors, including market, location, scope of the position and individual qualifications objectively assessed during the interview process. Our comprehensive total package plays a major role in how we recognize individuals for the impact they will have on Chalk's growth and us achieving our goals. The listed range above is simply a guideline, and the base range for this particular role may be modified. Chalk offers early team member equity and competitive benefits package in addition to the cash compensation. Inclusivity Chalk is an equal opportunity employer. We value diversity and inclusion and provide reasonable accommodations to anyone in need of individualized support. 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A leading AI technology firm in San Francisco is seeking a Senior Full-Stack Software Engineer with a strong background in React, TypeScript, and Python. The ideal candidate will have over 5 years of experience and will be responsible for building scalable applications integrating modern AI technologies. This full-time position offers a competitive salary range of $216,200 to $270,250 USD, inclusive of benefits and equity options. The role thrives on collaboration and adaptability within a dynamic team environment.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Release Evaluation org ensures that each version of the Waymo Driver is safe before it hits the road. We build automated pipelines to solve the long tail of rare and exceptional scenarios in autonomous driving, looking for needles in a haystack under both time and resource constraints. Within Release Evaluation, the Sampling and Efficiency team applies importance sampling techniques and machine learning to maximize the statistical efficiency of these discovery pipelines. You will: Develop importance sampling techniques that enable our evaluation pipelines to deliver better signals with fewer resources. Find signals in our logs and simulations that might help us to more efficiently discover rare and important events. Build systems that systematically optimize multiple objectives under resource constraints. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. Champion code health and best practices in a large and complex code base. You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area. Fluency with probability and statistics. Strong self-motivation to navigate complex systems and pursue open-ended problems to completion. 2-3 years of experience with Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL. Performing statistical analyses. Building data processing pipelines. Writing, reviewing, and merging code following industry standards for code health and maintainability. We prefer: Experience programming in C++. Experience developing and evaluating sampling methods. Experience designing, training, evaluating, and applying ML models. Experience working in the AV industry. PhD in a quantitative field. Salary Range $170,000 - $216,000 USD

Overview Get AI-powered advice on this job and more exclusive features. Turing is one of the world's fastest-growing AI companies, pushing the boundaries of AI-assisted software development. Our mission is to empower the next generation of AI systems to reason about and work with real-world software repositories. You'll be working at the intersection of software engineering, open-source ecosystems, and frontier AI. Project Overview We're building high-quality evaluation and training datasets to improve how Large Language Models (LLMs) interact with realistic software engineering tasks. You will have the opportunity to work on a diverse range of projects, from helping models traverse complex code bases to building agents that improve model performance. What Does a Typical Day Look Like? Work across multiple different projects to improve LLM performance on code: sample projects Leading and delivering end-to-end agent use cases such as home automation agents, coding copilots, or creative design assistants. Collaborate with the team to identify edge cases and ambiguities in model behavior. Review and compare 3-4 model-generated code responses per task using a structured ranking system. Evaluate code diffs for correctness, code quality, style, and efficiency. Provide clear, detailed rationales explaining the reasoning behind each ranking decision. Required Skills Several years of software engineering experience, including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Proven ability to review code diffs and evaluate correctness, maintainability, and efficiency. Excellent oral and written communication skills for clear, structured evaluation rationales. Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Rates: $50-$150/hour, based on experience and skill level. Engagement Details Seniority level: Mid-Senior level Employment type: Contract Job function: Information Technology and Engineering Industry: Software Development