Machining engineer jobs in Colonie, NY - 415 jobs

Project Engineer II- Licensed (Electrical) CSArch, an A/E firm with offices in Albany and Newburgh, NY is currently seeking a full-time Project Engineer for the Albany office. The Project Engineer II has at least 5 years of experience as a Licensed Engineer (Electrical). The successful candidate should possess an Associate's, Bachelor's, or Master's degree of Engineering. The candidate must have at least 3 years of Revit experience. This position is primarily responsible for the technical engineering and production aspects of medium to large projects from conceptual design through construction closeout. SPECIFIC DUTIES AND RESPONSIBILITIES: Leads in-house building systems design / engineering team through development of design and construction documentation process. Could also provide Project Engineer support as part of a larger project team on larger projects. Develops and coordinates with all engineering disciplines and architecture team to produce construction documents. Involved in field investigations, detailed engineering design work and development of design computations. Oversees code compliance with applicable engineering codes, standards and guidelines. Informs, directs and trains engineers-in-training and less experienced project engineers relative to these. Develops and coordinates engineering technical specifications. Adheres to and implements corporate contract documentation procedures and standards as they best apply. Responsible for all engineering aspects of construction administration including but not limited to shop drawing/submittal review and coordination, attending project meetings, developing field reports, periodic monitoring of construction sites, interfacing with contractors and clients. Supports project management with development of staffing, fee, budget estimating and project scheduling. Ensures that Quality Control procedures are being met. Will supervise small engineering staff and could have significant client contact. REQUIREMENTS/QUALIFICATIONS: Licensure Requirements: Licensed Education Requirements: Associate's, Bachelor's, or Master's degree of Engineering in electrical engineering. Experience: Minimum 5 years experience as a Licensed Engineer Computer Skills: Revit- minimum of 3 years experience and other design/presentation software programs; MS Office proficient; use of Adobe products; Submittal Exchange Excellent written, verbal and visual communication skills Detail oriented; highly organized; self-motivated; able to exercise independent judgment, multi-task, delegate, plan, set goals, meet critical deadlines, be accurate, work under pressure; conflict resolution/negotiation skills; team building and leadership skills. 40+ hours M-F; overtime as necessary to meet deadlines, travel, driving, occasional lifting/carrying up to 40 lbs. Site observations may involve outdoor weather, year-round, moving mechanical equipment, climbing ladders/scaffolding and observing high area construction activities. Noise level is often loud. Background check may be required. Requires use of hardhat, construction boots, and possibly other safety equipment as required on a construction site.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Job Duties: Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas. Use data driven methods and leverage the unique properties of our data to improve candidates retrieval. Work in a high-impact environment with quick experimentation and product launches. Keeping up with industry trends in recommendation systems. Full-time telecommuting is an option. Minimum Requirements: Master's degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or closely related quantitative discipline and three (3) years of experience in the job offered or in any occupation in related field. Special Skill Requirements: (1) user modeling; (2) personalization; (3) recommender system; (4) graph representation learning; (5) deep learning; (6) data processing pipelines; (7) large scale machine learning systems; (8) big data technologies; (9) PyTorch; (10) Python; and (11) Apache Spark. Any suitable combination of education, training and experience is acceptable. Full-time telecommuting is an option. Salary: $240,000.00 - $332,012.00 per annum Reference #: L25-164278 This position is not available for relocation assistance. Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Know Your Rights and Pinterest Policy for more information regarding U.S. roles. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Attentive is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We're the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights. Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter's work with us to enable billions of interactions that power tens of billions in revenue for our customers. With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive's team has been consistently recognized for its performance and culture. We're proud to be included in Deloitte's Fast 500 (four years running!), LinkedIn's Top Startups, Forbes' Cloud 100 (five years running!), and Inc.'s Best Workplaces. About the RoleOur Machine Learning Engineering team powers personalized experiences for hundreds of millions of customers across thousands of brands. As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform. You will operate with a high degree of ownership, partner closely with Product and Engineering, and help raise the technical bar across our ML systems in a fast-paced, high-impact environment.What You'll Accomplish Design, build, and operate scalable machine learning systems used in real-time targeting, decisioning, personalization systems Own ML projects end-to-end, from data exploration and modeling to deployment, monitoring, and iteration Proactively safeguard model and system quality through testing, monitoring, validation, and alerting Collaborate cross-functionally with product, data, and other engineering partners to translate business problems into ML solutions Continuously improve system reliability, performance, and engineering efficiency Contribute to technical direction and best practices across the ML engineering team Mentor and support other engineers through code reviews, design discussions, and knowledge sharing Thrive in a high-impact, fast-paced, late-stage startup environment Your Expertise 6+ years of professional experience building production machine-learning software systems Proven experience owning ML systems long enough to see the downstream impact of design decisions Strong proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or xgboost Experience with data processing and analytics tools such as pandas, Spark, SQL, and matplotlib Hands-on experience building automated pipelines for data processing, model training, validation, and deployment Experience collaborating with cross-functional teams to deliver ML-powered features Strong communication skills and a high sense of ownership What We Use Infrastructure: Kubernetes (AWS EKS), Istio, Datadog, Terraform, Cloudflare, Helm Backend: Java / Spring Boot microservices (Gradle), DynamoDB, Kinesis, Airflow, Postgres, PlanetScale, Redis Frontend: React, TypeScript, GraphQL, Storybook, Radix UI, Vite, Playwright ML & Data: Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, Panda You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work. For US based applicants:- The US base salary range for this full-time position is $244,000 - 320,000 annually + equity + benefits- Our salary ranges are determined by role, level and location #LI-EF1 Attentive Company ValuesDefault to Action - Move swiftly and with purpose Be One Unstoppable Team - Rally as each other's champions Champion the Customer - Our success is defined by our customers' success Act Like an Owner - Take responsibility for Attentive's success Learn more about AWAKE, Attentive's collective of employee resource groups. If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience. At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.

The Public Sector ML team at Scale deploys advanced AI systems-including LLMs, agentic models, and multimodal pipelines-into mission-critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions. You will: Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge-based evaluations. Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes. Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing. Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes. Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems. Design and execute stress tests and red-teaming workflows to uncover vulnerabilities and edge cases. Collaborate with operations teams and subject matter experts to produce high-quality evaluation datasets. This role will require an active security clearance or the ability to obtain a security clearance. Ideally you'd have: Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings. Strong programming skills in Python; experience with TensorFlow or PyTorch. Background in algorithms, data structures, and object-oriented programming. Experience with LLM pipelines, simulation environments, or automated evaluation systems. Ability to convert research insights into measurable evaluation criteria. Nice to haves: Graduate degree in CS, ML, or AI. Cloud experience (AWS, GCP) and model deployment experience. Experience with LLM evaluation, CV robustness, or RL validation. Knowledge of interpretability, adversarial robustness, or AI safety frameworks. Familiarity with ML evaluation frameworks and agentic model design. Experience in regulated, classified, or mission-critical ML domains. 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. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$208,000-$300,000 USDPlease reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado is:$187,000-$270,000 USD 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 accommodations@scale.com. 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 . PLEASE NOTE: 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.

Role: Machine Learning/AI Engineers (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,(*************************** is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company - we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. · Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. · Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. · Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. · Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. · Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. · Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. · Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. · Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What You'll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Who We Are At Pave, we're building the industry's leading compensation platform, combining the world's largest real-time compensation dataset with deep expertise in AI and machine learning. Our platform is perfecting the art and science of pay to give 8,500+ companies unparalleled confidence in every compensation decision. Top tier companies like OpenAI, McDonald's, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo use Pave, transforming every pay decision into a competitive advantage. $190+ billion in total compensation spend is managed in our workflows, and 70% of Forbes AI 50 use Pave to benchmark compensation. The future of pay is real-time & predictive, and we're making it happen right now. We've raised $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures. The Research & Development Org Pave's R&D pillar includes our data science, engineering, information technology, product design, product management, and security teams. This organization builds, maintains, and secures a platform used by more than 8,500+ client organizations. Compensation strategy is broken down into 3 pillars - compensation bands, planning workflows, and total rewards communication. We build products that make these processes seamless for customers. Over the next year, our roadmap is focused on enhancing the entire compensation lifecycle: from philosophy definition to market trend analysis, band adjustments, merit cycles, and employee communication. We're seeking passionate engineers who are excited about building robust, data-rich systems that simplify complex compensation processes at scale. Learn more about our engineering principles here! The Data Team @ Pave As part of the Data team at Pave, you will help us redefine how companies understand the labor market and determine compensation. Even the most innovative tech companies in the world often use spreadsheets full of flawed statistics to determine how to pay. At Pave, we've built a system of real-time integrations that allow us to bring best practices from machine learning, data science, software tooling, and AI to an industry that is built on data, but doesn't have the tools it needs to fully leverage it. What You'll Do: Architect and implement scalable ML systems for modeling compensation within a single company and across the market as a whole Collaborate with product and engineering teams to identify additional opportunities to leverage ML-driven solutions Help evolve the technical direction of ML initiatives across the company Drive millions of dollars of revenue growth What You'll Bring: 5+ years of experience building and deploying ML models in production environments Strong foundation in machine learning, statistics, and deep learning fundamentals Expertise in Python and modern ML frameworks (PyTorch, TensorFlow, or similar) Experience with large-scale data processing and ML model optimization Experience with MLOps practices and tools (model versioning, monitoring, and deployment) Strong software engineering practices and experience with production systems Expert-level SQL skills with experience writing complex queries and optimizing query performance Ability to navigate (and bring structure to) ambiguity; ability to bring a project from 0 to 1, or scale a project from 1 to 100 Compensation, It's What We Do. Salary is just one component of Pave's total compensation package for employees. Your total rewards package at Pave will include equity, top-notch medical, dental, and vision coverage, a flexible PTO policy, and many other region-specific benefits. Your level is based on our assessment of your interview performance and experience, which you can always ask the hiring manager about to understand in more detail. This salary range may include multiple levels. The targeted cash compensation for this position is (level depends on experience and performance in the interview process): P3: $174,250 - $205,000 P4: $205,700 - $242,000 Life @ Pave Since being founded in 2019, Pave has established a robust global footprint. Headquartered in San Francisco's Financial District, we operate strategic regional hubs across New York City's Flatiron District, Salt Lake City, and the United Kingdom. We cultivate a vibrant, collaborative workplace culture through our hybrid model, bringing teams together in-person on Mondays, Tuesdays, Thursdays, and Fridays to foster innovation and strengthen professional relationships Benefits @ Pave At Pave, career advancement drives everything-roles expand, responsibilities deepen, and compensation rises alongside your professional growth. What we provide Complete Health Coverage: Comprehensive Medical, Dental and Vision coverage for you and your family, with plenty of options to suit your needs Time off & Flexibility: Flexible PTO and the ability to work from anywhere in the world for a month Meals & Snacks: Lunch & dinner stipends as well as fully stocked kitchens to fuel you Professional Development: Quarterly education stipend to continuously grow Family Support: Robust parental leave to bond with your new family Commuter Assistance: A commuter stipend to help you collaborate in person Vision - Our vision is to unlock a labor market built on trust Mission - Our team's mission is to build confidence in every compensation decision Are you ready to help our customers make smarter, more effective compensation decisions?

About Us: At Fireworks, we're building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We've been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We're an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI. The Role: As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your work will focus on developing, fine-tuning, and operationalizing machine learning models that drive business value and enhance user experiences. This is a hands-on engineering role that combines deep technical expertise with a strong customer focus to deliver scalable AI solutions. Key Responsibilities: Customer Success: Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions. Demo / Proof of Concept (PoC): Build and present compelling PoCs that demonstrate the capabilities of our AI technology. Application Build: Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs. Platform Features / Bug Fixes: Contribute to the internal ML platform, including adding features and resolving issues. New Model Enablements: Integrate and enable new machine learning models into the existing platform or client environments. Performance Optimizations: Improve system performance, efficiency, and scalability of deployed models and applications. Partnership Enablement: Work closely with partners to enable joint AI solutions and ensure seamless collaboration. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, or a related technical field. 5+ years of experience in a software engineering role, with a strong preference for customer-facing roles. Robust coding skills required, preferably with proficiency in Python. Demonstrated ability to lead and execute complex technical projects with a focus on customer success. Strong interpersonal and communication skills; ability to thrive in dynamic, cross-functional teams. Preferred Qualifications: Master's degree in Computer Science, Engineering, or a related technical field. Experience working in a startup or fast-paced environment. Hands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF or RFT). Solid understanding of generative AI, machine learning principles, and enterprise infrastructure. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted. Base Pay Range (Plus Equity)$170,000-$240,000 USDWhy Fireworks AI? Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. Build What's Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI-no bureaucracy, just results. Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search as well as original playlists such as Made For You, Discover Weekly and Daily Mix. The Context team's mission is to own and innovate on contextual story telling to enhance the listening experience. Using a mixture of human written content and LLMs, we strive to provide depth and connection for all listeners. We are looking for a Machine Learning Engineer to join our team to build and improve our storytelling capabilities.What You'll Do Design, build, evaluate, and ship LLM based solutions that tell stories about our content and our users Collaborate with cross functional teams spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and useful ways Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization Be part of an active group of machine learning practitioners Who You Are An experienced ML practitioner motivated to work on complex real-world problems in a fast-paced and collaborative environment - Strong background in machine learning, natural language processing, and generative AI, with experience in applying theory to develop real-world applications Hands-on expertise with implementing end-to-end production ML systems at scale. Experience with production LLM scale based systems is a plus Experience with incorporating human feedback to improve LLM based systems using technicals like DPO, KTO, and reinforcement fine-tuning Experience with designing end-to-end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams Experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS Where You'll Be We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location. This team operates within the Eastern Standard time zone for collaboration. The United States base range for this position is $138,250- $197,500 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service.

Job Title: Machine Learning Engineer (Level II) About the role: We're looking for a Machine Learning Engineer (Level 2) to join our growing ML Engineering team and lead the development of advanced AI systems that power our platform. You'll design and deploy the core intelligence behind our products, with a focus on building autonomous, stateful AI agents capable of reasoning, learning, and acting in dynamic environments. In this role, you'll bridge the gap between research and production, architecting, training, and scaling systems that turn cutting-edge ideas into reliable, production-ready tools. You'll collaborate with engineering, data, and product teams to create cohesive, high-performance ML ecosystems across multimodal search, forecasting, and video understanding. If you're passionate about pushing the boundaries of applied AI, designing intelligent systems that think and evolve, this is an opportunity to have real impact. Here's what you'll do day-to-day: Design and deploy autonomous AI agents, including reasoning loops, memory layers, and orchestration pipelines. Build observability and evaluation systems to monitor reasoning, token usage, and model performance, ensuring reliable production behavior. Lead the development of multimodal ML pipelines for semantic search, RAG, recommendation systems, and vector search across text, image, and video data. Engineer high-throughput time-series analytics and forecasting models that connect batch OLAP queries with real-time inference. Develop and maintain scalable asynchronous APIs and containerized services, ensuring reliability, monitoring, and performance optimization. Partner with product and engineering teams to translate business goals into measurable ML outcomes. Drive research-to-production pipelines for experimental AI projects and evaluate emerging technologies to advance our platform. Here's what we're looking for: 2+ years of experience in machine learning engineering, building production-grade ML systems. Hands-on experience with agentic AI frameworks (e.g., LangGraph, LlamaIndex, Zep, Mem0, Langfuse, LangSmith). Experience building RAG pipelines, recommendation systems, and/or vector search applications (e.g., Pinecone, Vespa, PostgreSQL + pgvector). Strong background in time-series modeling, anomaly detection, and large-scale data analysis (e.g., Clickhouse). Skilled in asynchronous API design, containerization, and modern CI/CD workflows (FastAPI, Docker, Kubernetes, GitHub/Bitbucket). Excellent EDA skills with the ability to translate data insights into production-ready ML solutions. Comfortable working with LLM ambiguity, designing systems that fail gracefully and learn continuously. Proactive, independent, and curious-able to own complex features end-to-end and raise the technical bar for the team. Strong communication skills-able to explain trade-offs between AI approaches and align technical metrics to business goals. Experience leveraging AI tools and functionality to improve workflow efficiency, research, and experimentation. The salary range for this role is $150,000 - $160,000 and serves as a general guideline reflecting the potential compensation for the role. The final salary offer will be determined based on a comprehensive evaluation of factors such as the candidate's experience, expertise, alignment with the position's requirements, and ultimately budget approvals . Our values: At Whalar, diversity, equity, and inclusion (DEI) isn't just a statement, it's our collective strength. Our people are our superpower. A diverse team and inclusive leadership have shaped Whalar since our inception in 2016, fueling a constant evolution of growth. We champion a culture of respect and empathy, fostering a sense of belonging that transcends demographics. We hire individuals of all backgrounds and empower them to thrive, challenge stereotypes, and actively break societal barriers. The perks: Whalar provides flexible benefits and collaborative work environments/experiences, so employees can work productively in a setting that best and uniquely suits their needs. Medical, Dental, Vision 25 days of PTO + Sick days + Winter break Retirement planning with employer match Monthly phone/internet reimbursement Professional development stipend New joiner Home office allowance Up to 16 weeks of paid parental leave Volunteer days Identity theft protection & Legal assistance Company Paid Life & Disability Insurance Extra Voluntary Life Insurance Policy Voluntary Hospital and Critical Illness Insurance Voluntary Pet insurance Employee Resource Groups Whalar provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Equal opportunity extends to all aspects of the employment relationship, including hiring, promotions, training, working conditions, compensation, and benefits.

About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on *************************** About The Job: Technical Lead, Applied AI Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle-from pre-sales to post-implementation-while collaborating closely with research, product, and engineering teams to shape the future of our offerings. As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral's technological vision. What you will do - Deliver as an IC the critical lines of codes of our complex projects, you'll be hands-on and de-risk the critical parts of our complex projects. You'll stay deeply involved in coding, reviewing, and optimizing AI solutions.- Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.- Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral's technological advantages to diverse stakeholders.- Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral's product roadmap and open-source initiatives.- Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.- Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral's product development cycle. About you- You hold a PhD or Master's degree in AI, Machine Learning, Computer Science, or a related field.- You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions.- You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.- You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.- You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.- You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.- You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.- You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent. Ideally, you have:- Contributed to open-source projects, particularly in the LLM or AI space.- Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.- A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities. Why join us? You'll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you're excited about leading technical innovation and solving real-world challenges with AI, we'd love to hear from you!What we offer 💰 Competitive salary and equity. 🚑 Healthcare: Medical/Dental/Vision covered for you and your family. 👴🏻 Pension : 401K (6% matching) 🏝️ PTO : 18 days 🚗 Transportation: Reimburse office parking charges, or $120/month for public transport 🏀 Sport: $120/month reimbursement for gym membership 🥕 Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger) 🌎 Visa sponsorship 🤝 Coaching: we offer BetterUp coaching on a voluntary basis Why join us? You'll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you're excited about leading technical innovation and solving real-world challenges with AI, we'd love to hear from you!

EvolutionaryScale, now part of CZI Biohub, is pioneering the next era of AI-powered biology to understand and program life at scale. Together, we're combining frontier artificial intelligence and frontier biology and building the technology to study how cells operate, organize, and work as part of systems to understand why disease happens and how to correct it. Our mission is to unlock new scientific discoveries that will help cure or prevent disease. Backed by the Chan Zuckerberg Initiative (CZI), Biohub operates as a nonprofit organization uniting leading scientists, engineers, and technologists across hubs based in California, New York, and Chicago. In 2025, Biohub welcomed the EvolutionaryScale team - recognized for creating large-scale frontier AI systems for the life sciences - to accelerate the mission. Led by co-founder Alex Rives, who now serves as Head of Science at Biohub, the integrated organization is scaling up the compute and research infrastructure needed to build next-generation models of biology-powered by the largest cluster dedicated to open science. We are at a pivotal moment in science offering a world-class interdisciplinary research environment across biology, data, and artificial intelligence and we will continue to hire for exceptional talent across these disciplines. We are excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week. The Role Contribute to the process of transitioning research to product by deploying models to production environments. Collaborate with researchers and engineers at the company's partners (clients or academic partners) to deploy the company's technology within their infrastructure. Be effective representatives of the company and our products to partners and other external collaborators. Manage artifact tracking for different fine-tuned models and data. Conduct data pipeline work including use of Apache Spark, Apache Arrow, Pandas, distributed computing for large-scale data processing. Help cultivate best practices in MLOps, and think about the full ML lifecycle, including data, fine-tuning, deployment, reliability and monitoring. Work on simplification and improvement of codebase abstractions to accelerate research momentum. Possess the ability to execute complex modifications to the research pipeline, such as fast data loading and distributed training. Handle DevOps responsibilities, focused on making all engineers and researchers more productive. This includes tasks like cluster monitoring, unit testing and integration testing of research codebase, and continuous integration. Preferred qualifications Experience with Pytorch or low-level programming is a plus. Experience with distributed computing frameworks like Apache Spark or Dask. Knowledge of cloud computing platforms like AWS, Google Cloud, or Azure. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Compensation The salary range for this position is $150,000 to $350,000+ per year. Compensation package will vary based on job-related skills, level of experience, and knowledge. Comprehensive Benefits We're thankful to have an incredible team behind this work. To honor their commitment, we offer a wide range of benefits to support the people who make it all possible. Provides a generous employer match on employee 401(k) contributions to support planning for the future. Paid time off to volunteer at an organization of your choice. Funding for select family-forming benefits. Relocation support for employees who need assistance moving. Why Join Us Be part of a transformative scientific initiative backed by CZI's long-term commitment and resources. Work alongside world-class researchers redefining how biology is understood and programmed. Access state-of-the-art compute infrastructure and cutting-edge lab technologies. Contribute to the first large-scale effort combining frontier AI with frontier biology to solve disease. Open Science that shares data, tools, and results to accelerate progress for everyone.

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. The Driver Understanding and Evaluation team at Waymo develops a rich understanding of Waymo Driver's behavior. With over 1 million driverless miles per week, it is critical that Waymo can understand and assess the behavior of all its vehicles - both in the field and in simulation - with automated algorithms. The learned metrics team is a strategic bet to use machine learning to ensure we can scale to meet Waymo's goals. We collaborate across teams to bring ML to production systems and build what is Waymo's reward function. We build and operate large-scale machine learning and data systems, simulation workflows, and insight tools. We combine expert human judgements and advanced machine learning models to deliver training and evaluation data for the Waymo driver. We are looking for researchers and software engineers who are passionate about developing production grade machine learning systems for our autonomous vehicles and have an incessant drive to improve the performance of our technology stack. This role follows a hybrid work schedule and reports to an Engineering Manager. You will: Develop ML models that assess our autonomous vehicle's behavior. Develop ML infrastructure to support performant models. Collaborate across teams to bring state-of-the-art to production. You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area, or equivalent work experience 4+ years of experience building productionized ML models Code and design skills: comfort building production systems (Python / C++) Background in applied Deep Learning A track record in improving model quality We prefer: 6+ years of experience building productionized ML models Experience in reinforcement learning, transfer learning, or learning. Experience with large scale data and models The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. 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. Salary Range$238,000-$302,000 USD

As a Senior Engineer in Structural Mechanics & Analysis Methods within the Aero-Thermal & Mechanical Systems Organization, you will provide technical leadership and perform research and development in structural mechanics, analysis methods, and related fields. Your work will focus on developing and implementing innovative material and structural solutions for a wide variety of applications. **Job Description** **Roles and Responsibilities** + Lead structural design, analysis, and testing of mechanical components and systems with a wide variety of material compositions (e.g., metals, composites, additive or other complex multi-material structures). + Carry out project planning and execution from system-level architecture through detailed design and manufacturing. Define requirements and execute design and analysis tasks using proprietary and commercial FEA solvers, analysis systems and databases to predict the structural response of mechanical components and systems. + Lead, mentor, and grow a high-performing multidisciplinary team. Support team members' technical and professional growth through regular feedback, coaching, and goal setting. Establish mechanisms for proactive communication to ensure transparency and alignment. + Foster collaboration within the project team, working closely with support functions and/or external suppliers to achieve project deliverables. + Participate in project and technical reviews, and prepare presentations, reports, and publications for the engineering community, GE Aerospace business, and/or external agencies. + Foster a culture rooted in GE Aerospace behaviors: respect for people, continuous improvement, and customer driven + Own the development and maintenance of technology roadmaps and demonstrate accountability for a pipeline of funded projects + Work with internal and external collaborators in developing new project proposals and initiatives. Provide technical guidance and mentoring across the group to grow overall technical capability and product knowledge in technical focus areas. + Interact with senior external personnel to align research and development efforts with expectations. Represent GE Aerospace as the prime technical contact on contracts and projects. **Required Qualifications** + PhD degree in Mechanical Engineering, Aerospace Engineering, or Applied Mechanics with a strong background in structural design and analysis with a minimum of 7 years of industrial experience or MS degree in Mechanical Engineering, Aerospace Engineering, or Applied Mechanics with a strong background in structural design and analysis and a minimum of 10 years of industrial experience. + Strong technical skills in structural mechanics and finite element methods. + Excellent interpersonal, leadership and communication skills in a global team environment. + Ability to work across all functions/levels as part of a team. + Extensive experience and high proficiency with commercial FEA packages such as Ansys and LS-DYNA (including advanced meshing tools and non-linear analysis). + Extensive experience with product design constraints, manufacturing techniques and material processing selections for mechanical components and systems. + Experience in conceiving, developing, and carrying out experiments and transferring component level tests into full scale hardware solutions. + Strong analytical skills. + Clear evidence of passion, innovation, and creativity. + Execution mindset and sense of urgency. + Ability to work under pressure and meet deadlines. + Must be willing to work out of an office located in Niskayuna, NY. + Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. **Desired Characteristics** + Experience with composite design and progressive damage simulations. + Experience with vibration and structural dynamics. + Experience with parametric, feature-based geometric modeling, hands-on experience with commercial CAD packages (e.g., NX, SOLIDWORKS, Creo). + Experience in analysis, fabrication and testing of composite structures. + Experience with composite and lattice architecture design and optimization. The base pay range for this position is $100,000 - $205,000 USD Annually. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. This position is also eligible for an annual discretionary bonus based on a percentage of your base salary based on the plan. This posting is expected to close on March 1st 2026. Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness. General Electric Company, Ropcor, Inc., their successors, and in some cases their affiliates, each sponsor certain employee benefit plans or programs (i.e., is a "Sponsor"). Each Sponsor reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor's welfare benefit plan or program. This document does not create a contract of employment with any individual. _This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3))._ **Additional Information** GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer (****************************************************************************************** . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). **Relocation Assistance Provided:** Yes GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

Monumental is automating on-site construction with robotics and software. Our mission is to make construction primarily software-defined and work towards a future where beautiful, bespoke buildings are built within a single day with minimal labour. We're a growing team (about 100 team members)of mostly engineers and technicians, coming from companies like Palantir, Qualcomm, Dyson, Shopify, Tesla, Meta and 1X. It's still the early days of building the company, and this is a unique opportunity to be an early employee in a high-growth, high-ambition startup environment. From Day 1, you'll be able to work with an experienced founding team backed by top-tier investors. Monumental is based near Artis zoo in the Plantage, in the city center of Amsterdam. We have a beautiful office with an in-house workshop and robot testing facility. We're explicitly not a hybrid or remote-first company: we enjoy collaborating 5 days a week at the office. You can read more on why we believe you should spend your time working on construction, and learn more about our vision and company. You might also enjoy seeing this video by Andreas Klinger of what our office environment looks like. About you and this role The typical startup advice to become an effective engineer is "go spend time with your users". Our version of this is "go spend time with our robots in their natural habitat, the construction site". It turns out to be very hard to sit in an office behind a desk and improve the behaviour and performance of a robot, tuning kinematics, or scoping new features that interact with the messy real world of a construction site. We've found that the most effective way of doing this is being with the robot and being in a position where you can fix it yourself instead of asking another engineer to do it for you. This is a unique and new role on the intersection of engineering, product and operations. We consider it a key role that will have an outsized impact on our business. It's definitely not going to be for everyone: you'll be wearing hard hats and hard-toe boots most of your days. You're going to be running our robots, sometimes in our test environments in the office, and many times outside on construction sites. We don't expect you to have prior experience with robotics. Our ideal candidate has excellent problem-solving and debugging skills, combines technical skills with creativity, and can deal with high-stress environments when things fail. You're a strong engineer but above all obsessed with driving good outcomes. If you're done with doing yet another SaaS job, this is a unique opportunity to bring yourself back into the real world: you'll learn how buildings get built, how robots work, and be at the cutting edge of applied robotics. If this sounds interesting, you should read about Alfred's experience joining us as an intern and becoming our first forward deployed robot engineer. Help us bring our robots to life and join our mission to bring automation to the construction industry to create affordable, beautiful, high-quality housing for everyone. If you're new to robotics, you might enjoy reading Bouke's blog post on his experience joining Monumental as a software engineer, Josefine's interview with a seat at the table. You can read about how we control robots with TypeScript in this post by our CTO, Sebastiaan. What you'll be working on * As a starting point, you'll be comfortable building walls with our robots, similar to our Construction Robot Operators * Invariably, we'll encounter many problems on each new construction sites: the topology of the site, specific things that need to be built, or edge cases that we haven't dealt with before. It's your primary responsibility to identify those issues and to own solving that start-to-finish: coming up with a solution, writing the code to fix it, and deploying and testing it on the robot again. We do this in fast iteration cycles of hours and days, not weeks * In addition, you will likely take on building and testing new bleeding edge features-they might speed up our robots, allow us to drive into tighter spaces, or building something robots have never built before * Debugging failures that happen on-site: part of this is typical software debugging, but you'll also learn how to identify issues through the entire stack including electronics and mechanical issues * Taking broader notes on things you're seeing on the construction site and with our robots that you can't take on immediately or yourself. 10-20% of this job is a bit like being a product manager, identifying new projects and opportunities that can be discussed with the wider team * Being the face and ambassador of the company on a construction site. Our robots don't talk so people will typically chat to you if they see you next to a robot. What we're looking for * Ability to code: we don't care if you're self-taught, went through a coding academy, or have a M.Sc. or PhD in Computer Science. You need to be able to solve complex engineering problems with code. * We don't expect any prior experience with robotics, but being comfortable with basic mathematics (e.g., linear algebra) and reasoning geometrically is a strong plus * You're always able to keep the outcome in mind, without the tendency to over-engineer solutions * You are excellent at debugging and decomposing problems. Our stack is very deep, given that things can fail both in hardware and software, and you can logically reason through various failure modes * You love getting your hands dirty and don't want to sit behind a computer all-day. You will frequently wake up early to drive to a construction site on-time and enjoy being in that context. You don't need to have any experience on a construction site though * You're fluent in English (spoken and written). Being verbally fluent in Dutch is a plus on a construction site but not a requirement. Why Monumental? Joining Monumental means being at the forefront of a movement aimed at making significant strides in the construction industry. Here, your work has the potential to impact not just the company but the future of how we build. If you're driven by innovation, eager to tackle complex challenges, and ready to make a tangible difference, we want to hear from you. For open applications (where you don't see an exact role match), please reach out to us at: ************************* - share with us the most interesting or challenging project you've worked on, why you want to join and your CV or portfolio. If you don't meet all the qualifications here but are excited about Monumental and feel you'd still be able to help us solve difficult problems, do get in touch. We welcome generalists who focus on outcomes and are eager to learn on the job.

Radical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunity As a Software Engineer in the Robotics and Automation group at Radical AI, you will design and deploy systems to automate our material science research and discovery laboratory. You will specialize in robotics, automation, and perception software development. Your experience and vision will shape both the physical and systematic implementation of lab automation. You will collaborate closely with Mechatronics, Mechanical Engineering and Material Scientists to meet rigorous and sometimes dynamic design requirements at a profound deployment speed. Mission Architect and develop software systems that control and orchestrate robotic workcells for autonomous materials experimentation Design scalable control frameworks for flexible automation involving robots, motion systems, sensors, and lab instruments Collaborate with hardware, mechatronics, and science teams to translate experimental workflows into reliable automated processes Build and maintain APIs and services for scheduling, execution, monitoring, and data capture Develop simulation, testing, and validation tools to accelerate development and ensure system reliability Integrate 2D and 3D vision systems (cameras, lighting, depth sensors) with robotic manipulation, motion planning, and execution Optimize system performance, robustness, and throughput under rapid iteration cycles Contribute to technical direction, architecture decisions, and best practices across the robotics, perception, and automation software stack Mentor junior engineers and help establish engineering standards in a fast-growing organization Bring an attitude of collaboration and open-mindedness, to facilitate fearless and creative problem solving skills that empowers our team to ship world class technology at an unprecedented speed. About you Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field Four+ years of professional software engineering experience, with significant work in robotics or automation systems Strong proficiency in modern programming languages such as Python and C++ Experience with robotic control frameworks (e.g., ROS/ROS2 or equivalent custom systems) Experience with physical simulation environments (e.g. MuJoCo, IsaacSim), and hardware-in-the-loop testing Solid understanding of motion planning, state machines, real-time or near-real-time control systems Experience integrating hardware systems including robots, sensors, vision systems, and industrial equipment Ability to work independently in a hands-on, development-oriented environment. Strong communication skills and ability to collaborate across engineering and scientific disciplines. Pluses Experience deploying autonomous systems in laboratory, manufacturing, or industrial environments Experience deploying autonomous mobile robots and working with simultaneous localization and mapping (SLAM) Experience with reinforcement learning and computer vision applied to robotics Familiarity with machine learning applied to robotics, experimentation, or optimization Prior startup experience or ownership of systems from early prototype through production What we offer A competitive compensation package also includes the best in benefits. Medical, dental, and vision insurance for you and your family Mental health and wellness support 14+ company holidays per year 401K Work closely with a team on the cutting edge of AI research. A mission: an opportunity to fundamentally change the way humanity makes progress through materials science discovery. Salary Description Competitive salary + Equity + Benefits; base pay offered may vary depending on job-related knowledge, skills, and experience. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

The goal of a Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers. Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like Donovan and Thunderforge. Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real-world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large-scale fine-tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications. You will: Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers. Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines Work with massive datasets to develop both generic models as well as fine tune models for specific products Build scalable machine learning infrastructure to automate and optimize our ML services Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment This role will require an active security clearance or the ability to obtain a security clearance. Ideally You'd Have: Extensive experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environment Solid background in algorithms, data structures, and object-oriented programming Strong programing skills in Python, experience in Tensorflow or PyTorch Nice to Haves: Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments Experience with computer vision, generative AI models, large language models, or agentic systems Familiarity with ML evaluation frameworks and agentic model design 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. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$208,000-$300,000 USDPlease reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado is:$187,000-$270,000 USD 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 accommodations@scale.com. 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 . PLEASE NOTE: 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.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. With more than 550 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers help build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else. By applying to this role, you will be considered for multiple roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process. This is a general posting for multiple roles open across our various ML teams. You will have the opportunity to work on a very large scope of problems in recommender systems, search, ads, ranking, natural language processing, graph representation learning, personalization, etc. As a Machine Learning Engineer at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. As you kickstart your career at Pinterest, you'll join our engineering teams as we maneuver through exponential growth and massive scale while building awesome products and features, creating visually rich experiences, spearheading the discovery problem, and pinpointing tomorrow's engineering challenges. What you'll do: Contribute to cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems Collect, analyze, and synthesize findings from data and build intelligent data-driven model Write clean, efficient, and sustainable code Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search Design, build, and test models to predict engagement for notifications (push, emails, in-app notifications) Build content recommendation systems to power our push, email, and in-app notifications Work on state-of-the-art large-scale applied machine learning projects Scope and independently solve moderately complex problems What we're looking for: Master's in Computer Science, ML, NLP, Statistics, Information Sciences or related field required Machine Learning experience (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc) Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow) Cross-functional collaborator and strong communicator Comfortable solving ambiguous problems and adapting to a dynamic environment Experience in research and in solving analytical problems In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices. #LI-HYBRID At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$136,700-$175,140 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Attentive is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We're the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights. Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter's work with us to enable billions of interactions that power tens of billions in revenue for our customers. With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive's team has been consistently recognized for its performance and culture. We're proud to be included in Deloitte's Fast 500 (four years running!), LinkedIn's Top Startups, Forbes' Cloud 100 (five years running!), and Inc.'s Best Workplaces. About the RoleAs a Machine Learning Engineer II, you will contribute to building and improving machine learning models and infrastructure that power real-time personalization across the Attentive platform. This role is ideal for an engineer who has solid production ML experience and is looking to grow their impact, technical depth, and ownership within a collaborative team environment. You will work closely with senior ML engineers, product managers, and platform teams to implement end-to-end ML use cases while continuing to develop strong ML engineering fundamentals.What You'll Accomplish Build and maintain machine learning models and pipelines used in production Contribute to data processing, feature engineering, model training, and evaluation workflows Assist in deploying, monitoring, and validating ML models in production environments Partner with senior engineers and product managers to implement ML-driven features Write high-quality, well-tested code and help prevent regressions through testing and monitoring Learn and apply best practices in ML engineering, system reliability, and scalability Participate in design discussions, code reviews, and team knowledge sharing Grow your technical skills in a fast-paced, high-impact environment Your Expertise 3+ years of professional software engineering experience, with 2+ years working on machine learning or data-driven systems Proficiency in Python and familiarity with ML frameworks such as PyTorch, TensorFlow, or xgboost Experience with data analysis and processing tools such as pandas, SQL, Spark, or similar Exposure to building or supporting ML pipelines for training, validation, or deployment Understanding of production concerns such as monitoring, performance, and data quality Strong collaboration and communication skills, with a growth-oriented mindset What We Use Infrastructure: Kubernetes (AWS EKS), Istio, Datadog, Terraform, Cloudflare, Helm Backend: Java / Spring Boot microservices (Gradle), DynamoDB, Kinesis, Airflow, Postgres, PlanetScale, Redis Frontend: React, TypeScript, GraphQL, Storybook, Radix UI, Vite, Playwright ML & Data: Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, Panda You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work. For US based applicants:- The US base salary range for this full-time position is $212,000 - 280,000 annually + equity + benefits- Our salary ranges are determined by role, level and location #LI-EF1 Attentive Company ValuesDefault to Action - Move swiftly and with purpose Be One Unstoppable Team - Rally as each other's champions Champion the Customer - Our success is defined by our customers' success Act Like an Owner - Take responsibility for Attentive's success Learn more about AWAKE, Attentive's collective of employee resource groups. If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience. At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music, podcasts, and audiobooks better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them. We are looking for a Senior Machine Learning Engineer to join the Personalization team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with Spotify - and who make impactful changes to recommendation systems to achieve this goal. As an integral part of the squad, you will collaborate with research scientists, data scientists and other engineers across PZN in prototyping and productizing state-of-the-art ML at the intersection of recommendations and long-term user satisfaction.What You'll Do Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining ML models for the personalization of the main homepage Lead collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation systems Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization. Who You Are You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with expertise in statistics and optimization, especially in sequential models, transformer architecture models, and fine-tuning processes for sequential models You have hands-on experience with large cross-collaborative machine learning projects and managing stakeholders You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages Experience with TensorFlow, PyTorch, Scikit-learn, etc. is a strong plus You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio, and cloud platforms like GCP or AWS You care about agile software processes, data-driven development, reliability, and disciplined experimentation. Where You'll Be We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location. The United States base range for this position is $176,166 $251,666 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.