Machining engineer jobs in Albany, NY

Insight Global is looking for a Project Engineer to join their team. The candidate can be located in Greenville, SC or Schenectady, NY. Below is an overview of the daily responsibilities: Providing technical guidance to Project Management and Applications/Regional Customer Applications Engineering Conducting Customer Kick-Off Meetings (CKOMs) and/or Design Liaison Meetings (DLMs) with customers and/or their design representatives (EPCs) Reviewing contract documentation and communicating project requirements to all design functions, utilizing internal documentation systems and regular communication with internal engineering organizations Mitigating engineering schedule issues and taking preventative action to avoid delivery delays or late customer deliverables Providing technical support to engineering, manufacturing, sourcing, suppliers, and installation personnel to ensure equipment meets all customer requirements and business objectives Supporting resolution of cross-functional design complexities and working to resolve technical issues Providing technical support to engineering, manufacturing, sourcing, suppliers, and installation personnel to ensure equipment meets all customer requirements and business objectives Must Have Requirements: Bachelor's Degree in Engineering from an accredited college or university OR a high school diploma/ GED with 5 years of relevant experience Minimum 2 years of experience in Project Engineering, Design Engineering, and/or Field Engineering related to Gas Turbine Projects Experience and/or knowledge of plant system design engineering, manufacturing, assembly, installation, and/or testing Ability and willingness to manage multiple priorities simultaneously and have creative problem solving Customer-facing experience Process improvement mindset Ability and willingness to travel, as required ~10% Compensation: $60/hr to $64/hr. Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

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.

**Role:** This Role is part of the Data Search and Mining group, the organization is responsible for providing high quality data for our Foundational Drive Model's training and evaluation at scale. We utilized Multi-Modality Model, VLM, MLLM to provide high precision search and mining solutions for AV training and evaluation. This role will play a critical piece on accelerating experiments on cutting edge search capability and SOTA models, then productionize them to company scale. Provide scalable and cost-efficient mining solutions that are able to handle PB-level data. Support key training and evaluation projects across the company. The specific duties may include Multi-Modality MLLM model evaluation, fine-tuning, deployment, as well as bulk inference. Evaluate data quality and improve it. Provide cost estimation and analysis. Build and Utilize AI-Agent capability. Support data pipeline orchestration on distributed backend system. **What You'll Do:** + Evaluate and apply SOTA multiple modality machine learning models to search and mining needs + Modern ML modeling skills, perform fine-tuning, evaluation + Integration with other company level infrastructure such as Data infrastructure, compute platform, labeling, as well as simulation + Strong software engineering (SWE) skills, focusing on distributed backend development, batch data processing + Support autonomous vehicle (AV) technologies, understand the data challenges in AV or Robotic industry + Enthusiastic to experiment and learn the latest AI development **Your Skills & Abilities** **:** + 4+ years of experience in the field of robotics or latency-sensitive backend services + Proven experience in machine learning and classification. Familiar with ML frameworks such as Tensorflow or PyTorch + Experience building highly performant ML and system pipelines + Strong programming skills in modern C++ or Python + Experience with profiling CPU and/or GPU software, process scheduling, and prioritization + Passionate about self-driving car technology and its impact on the world + Expertise in setting architectures that are scalable, efficient, fault-tolerant, and are easily extensible allowing for changes overtime without major disruptions. + Ability to design across multiple systems. Ability to both investigate in sophisticated areas as well as a good breadth of understanding of systems outside of your domain. + Ability to wear several hats shifting between coding, design, technical strategy, and mentorship combined with excellent judgment on when to switch contexts to meet the greatest need. + Experience working with Multiple Modality models **Compensation** **:** The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. + The salary range for this role is $134,000 to $205,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. + Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. + Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. **Remote:** This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times a week, at minimum. **Relocation:** This job may be eligible for relocation benefits. \#LI-MH2 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. 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All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. 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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.

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. Within the Monetization ML Engineering organization, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. As a Distinguished Machine Learning Engineer, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack for Monetization. You will work on tackling new challenges in machine learning and deep learning to advance the statistical models that power ads performance and ads delivery that bring together Pinners and partners in this unique marketplace. What you'll do: Lead user-facing projects that involve end-to-end engineering development in both frontend and backend and ML Improve relevance and increase long term value for Pinners, Partners, Creators, and Pinterest through efficient Ads Delivery. Improve our engineering systems to improve the latency, capacity, stability and reduce infra cost Collaborate with product managers and designers to develop engineering solutions for user-facing product improvements Collaborate with other engineering teams (infra, user modeling, content understanding) to leverage their platforms and signals Champion engineering excellence and a data driven culture, mentor senior tech talent and represent Pinterest externally in the tech and AI communities. What we're looking for: Degree in computer science, machine learning, statistics, or a related field 15+ years of working experience in engineering teams that build large-scale, ML‑driven, user‑facing products Experience leading cross‑team engineering efforts that improve user experience in products Understanding of an object‑oriented programming language such as Go, Java, C++, or Python Experience with large‑scale data processing (e.g., Hive, Scalding, Spark, Hadoop, MapReduce) Strong software engineering and mathematical skills, with knowledge of statistical methods Experience working across frontend, backend, and ML systems for large‑scale user‑facing products, with a good understanding of how they all work together Hands‑on experience with large‑scale online e‑commerce systems Background in computational advertising is preferred Excellent cross‑functional collaboration and stakeholder communication skills, with strong execution in project management Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office 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 will need to be in the office for in-person collaboration 1-2 times/month and therefore can be situated anywhere in the country. #LI-HYBRID #LI-SM4 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$347,264-$607,712 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.

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: $195,000 - $215,000 P4: $230,000 - $250,000 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.

Basic Qualifications Requires a Bachelor's degree in Mechanical Engineering, or a related Science, Engineering, Technology or Mathematics field. Also requires 2+ years of job-related experience or a Master's degree and 6 months of job-related experience. Agile experience preferred. CLEARANCE REQUIREMENTS: Department of Defense Secret security clearance is obtainable within a reasonable amount of time after hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required. Responsibilities for this Position ROLE AND POSITION OBJECTIVES: As a Mechanical Manufacturing Engineer at Pittsfield, Massachusetts, you'll be a member of a highly motivated cross functional team responsible for overcoming daily production challenges and continuously delivering on commitments. You are encouraged to apply if you have the knowledge and skills to develop, implement and maintain methods, operation sequence and processes in the manufacturing or fabrication of parts, components, sub-assemblies and final assemblies. In this position, the Mechanical Manufacturing Engineer will develop strong communications with internal teams to estimate manufacturing costs, determine time standards and make recommendations for tooling and process requirements of new or existing product lines. At GDMS, we continually seek ways to develop and improve manufacturing methods, utilizing our team's knowledge of product design, materials and parts, fabrication processes, tooling and production equipment capabilities, assembly methods, and quality control standards. Primary responsibilities will include, but are not limited to, the following: Generate assembly, test, and inspection instructions for manufacturing and repair processes Perform root cause analysis on nonconforming material and develop detailed instruction for rework Develop and enhance assembly aids to improve product quality, product consistency, and reduce build times Read and comprehend both electrical schematics and mechanical drawings as well as possessing working knowledge of manufacturing principles, tooling, equipment, and materials Manage time throughout the day between working directly on the manufacturing floor and working in an office environment Communicate effectively across multiple departments of the company (assemblers, testers, inspectors, material planners, quality, project leads, shop floor supervisors, design engineering, etc.) Implement operational improvement processes to improve product quality, consistency, and/or reduce production time What you bring to the table: A Bachelor's degree in Mechanical, Manufacturing, or Industrial Engineering, a related specialized area or field, or equivalent experience Clear understanding of manufacturing engineering concepts, principles, and theories Clear understanding with manufacturing processes and electrical/mechanical components, systems and applications What sets you apart: Proficiency with modeling CAD tools to create mechanical models and drawings Strong knowledge of manufacturing and fabrication methods, as well as technical, government, and industry standards Creative thinker capable of leading a team in the preparation of project design, testing, and prototype fabrication Team player who thrives in collaborative environments and revels in team success Commitment to ongoing professional development for yourself and others Our Commitment to You: An exciting career path with opportunities for continuous learning and development. Competitive benefits, including 401k matching, flex time off, paid parental leave, healthcare benefits, health & wellness programs, employee resource and social groups, and more See more at gdmissionsystems.com/careers/why-work-for-us/benefits Workplace Options: This position is fully on-site where you will be part of the Pittsfield, Massachusetts Manufacturing team. Salary Note This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled. Combined Salary Range USD $88,651.00 - USD $98,348.00 /Yr. Company Overview General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team! Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

The Safe-and-Sound team makes Spotify safe and enjoyable for every listener. From podcast recommendations to AI Playlists, we're a part of some of Spotify's most-loved features. We build Responsible AI solutions by understanding our music, podcasts and users better than anyone else. Join us and you'll keep millions of users listening by making recommendations safe for each and every one of them.What You'll Do Contribute to designing, building, evaluating, shipping, and refining Spotify's product by hands-on ML development Collaborate with a cross functional agile team 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 relevant ways Prototype new approaches and production-ize solutions at scale for our hundreds of millions of active users Help drive optimization, testing, and tooling to improve quality Be part of an active group of machine learning practitioners in New York (and across Spotify) collaborating with one another Who You Are You have a strong background in machine learning, with experience and expertise in personalized machine learning algorithms, especially recommender systems. You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with XGBoost, TensorFlow is also a plus. 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. This team operates within the Eastern Standard time zone for collaboration. The United States base range for this position is $136,878- $195,540 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.

Affinity stitches together billions of data points from massive datasets to create a powerful, accurate representation of the world's professional relationship graph. Based on this data, we offer our users the insights and visibility they need to nurture and tap into the opportunities in their team's network. This role is part of the AI Insights team, which owns the services that power Affinity's industry-leading relationship intelligence platform. We extract and retrieve information from billions of structured and unstructured data points to deliver actionable insights to customers. As a Senior Machine Learning Engineer, you will collaborate with data engineers, software engineers, and product managers to shape the future of private capital's leading CRM platform. You will design and build AI systems that efficiently uncover insights from compelling business interaction data - an exciting and unique opportunity within the industry. This is an applied machine learning position with a strong emphasis on engineering, not research. You will play a key role in advancing our ML Engineering capabilities, particularly in recommendation systems and information retrieval. What you'll be doing: Own the full ML lifecycle: Take projects from ideation to production, including feature engineering, model selection, deployment, and model observability and evaluation. Translate business needs into ML solutions: Gather product requirements and translate them into robust ML system design requirements. Build sophisticated recommendation and ranking systems: Design and implement ranking and recommendation systems using techniques such as learn-to-rank (LTR) and collaborative filtering. Solve complex problems: Work on a variety of information extraction, information storage and information retrieval problems for both structured and unstructured data. Collaborate cross-functionally: Partner with cross-functional teams (product management, infrastructure, data engineering, and software engineering) to build robust, high-scale systems that underlie all of our data processing and ML Operations. Qualifications Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every qualification. At Affinity, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you're excited about this role, but your past experience doesn't perfectly align with the qualifications above, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Required: 5+ years of experience in software engineering and/or Machine Learning experience in applying machine learning in production. Recommendation Systems & Information Retrieval: Hands-on experience developing recommendation and ranking systems at scale, using techniques such as: Learn-to-rank (LTR) algorithms, including RankNet, LambdaRank, or similar approaches Collaborative filtering and content-based filtering Reranking strategies and hybrid search implementations Information retrieval and relevance scoring Solid understanding of machine learning techniques, including clustering and decision forests. ML Engineering: Experiences with serving ML models for streaming and batch inference at scale. Experience with vector databases (milvus, weaviate) or graph database (Neo4j) Proficiency in Python and modern ML frameworks (PyTorch, Scikit-learn, or similar) Track record of building maintainable, testable, and production-grade codebases Experience with observability tools for online and offline model evaluation, A/B testing, and tracing for AI applications Nice to Have: Experience with dataset engineering, including data curation, augmentation, and synthesis, to assist ML model improvement. Develop AI applications powered by LLMs and agent-based systems Familiar with modern LLM development frameworks: Feature development: LangChain, LlamaIndex, or similar orchestration frameworks Evaluation & monitoring: LangSmith, Weights & Biases, TruLens, DeepEval, Azure AI, or equivalent tools Experience with text-to-SQL (text2sql) generation or similar natural language to structured query tasks Experience with packaging, CI/CD and pipeline automation. Tech stack: Our ML pipeline manages multiple Python services that support various AI features, including utilizing OCR to extract information from unstructured data, serving embedding models to vectorize chunks, and ranking a list of recommendations based on relevance and user preference. How we work: Our culture is a key part of how we operate, as well as our hiring process: We iterate quickly. As such, you must be comfortable embracing ambiguity, be able to cut through it, and deliver value to our customers. We are candid, transparent, and speak our minds while simultaneously caring personally with each person we interact with. We make data-driven decisions and make the best decision for the moment based on the information available. If you'd want to learn more about our values click here. What you'll enjoy at Affinity: We live our values: As owners, we take pride in everything we do. We embrace a growth mindset, engage in respectful candor, act as playmakers, and "taste the soup" by diving deep into experiences to create the best outcomes for our colleagues and clients. Health Benefits: We cover your medical, dental, and vision insurance premiums with comprehensive PPO, HDHP and HMO options (in CA), and offer flexible personal & sick days to support your well-being. Retirement Planning: We offer a 401(k) plan to help you plan for your future. Learning & Development: We provide an annual education budget and a comprehensive L&D program. Wellness Support: We reimburse monthly for things like home internet, meals, and wellness memberships/equipment to support your overall health and happiness. Team Connection: Virtual team-building activities and socials to keep our team connected, because building strong relationships is key to success. Please note that the role compensation details below reflect the base salary only and do not include any equity or benefits. This represents the salary range that Affinity believes, in good faith, at the time of this posting, that it will pay for the posted job. A reasonable estimate of the current range is $140,200 to $210,000 USD. Within the range, individual pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant. About Affinity With more than 3,000 customers worldwide and backed by some of Silicon Valley's best firms, Affinity has raised $120M to empower dealmakers to find, manage, and close more deals. How? Our Relationship Intelligence platform uses the wealth of data exhaust from trillions of interactions between Investment Bankers, Venture Capitalists, Consultants, and other strategic dealmakers to deliver automated relationship insights that drive over 450,000 deals every month. We are are proud to have received Inc. and Fortune Best Workplaces awards as well as to be Great Places to Work certified for the last 5 years running. Join us on our mission to make it possible for anyone to cultivate and fully harness their network to succeed. We use E-Verify Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit *********************

GE Vernova's industrial robotics engineer works on the advancement of robotics manufacturing technology for industrial domain, ultimately contributing to the Energy Transition by electrifying the world and decarbonizing the energy sector. As an industrial robotics engineer, you will play a key role in the development and continuous improvement of advanced robotic solutions for the manufacturing footprint of GE Vernova. In this role, you will be responsible for defining, developing and evolving robotic solutions for several manufacturing processes (i.e., inspection, material handling, etc. ) using digital vision and robotics. You will be responsible to develop specific applications and tools to support and extend the capabilities of our robotics group, using the latest technologies and standard module programming methodologies. Play an active role in the automation and development of innovative work tools, aimed at optimizing processes and improving operational efficiency. You will provide technical support for existing applications, identifying and resolving issues to ensure optimal performance of the various robotic systems. You will develop standard machine vision modules using existing computer vision libraries, to solve industrial inspection and robotic manipulation challenges. Be passionate about robotics, with strong experience in programming and systems architecture, solid experience in machine vision, able to work effectively in a team and motivated by the constant desire to learn and optimize processes through advanced technological solutions. It will be necessary to travel abroad as needed between 10% and 20% of your time. As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business's mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future. Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova's businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy-focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy. **Job Description** **Qualifications/Requirements:** + Bachelor's degree in electrical engineering, computer engineering, automated production engineering, robotics, computer science or other related specialization + Have a minimum of 5 to 7 years of relevant experience in building and deploying robotic systems in the context of manufacturing equipment and processes + Have a minimum of 5 years of experience in the applied use of machine vision algorithms in industrial environments + Proficiency in robot programming + Proficiency in one or more of these languages: Python/C/C++ Proficiency in one or more of these vision programming environments: Halcon, Cognex + Have experience in the manufacturing sector + Knowledge of Keyence, Cognex, Basler, CCS products. + Knowledge of PLC programming + Experience in selecting components for an industrial vision system (lighting, optics, image sensor) + Experience in the field of image processing applied to the manufacturing sector. + Experience working in automation with FANUC industrial robots + Legal authorization to work in the US is required. We will not sponsor individuals for employment visas, now or in the future, for this position opening. + Must be willing to work out of an office located in Niskayuna, NY + Must be 18 years or older + You must submit your application for employment on the careers page at ************************* to be considered **Desired Characteristics:** + Experience with UR industrial robots, + Experience with factory automation systems + Experience with automating various manufacturing processes The salary range for this position is $85,600 - $140,000 USD, annually. The specific pay offered may be influenced by a variety of factors, including the candidate's education and skill set. This position may also be eligible for a sign on incentive and new hire equity grant based on meeting certain eligibility criteria.This position will remain posted until at least July 25th, 2025. GE provides a comprehensive benefits package that provides access to plans which support the overall wellbeing of our employees and their dependents. These benefits include, but are not limited to, health care coverage (medical, dental, vision, pharmacy), a retirement plan that includes Company Retirement Savings and a 401K with Company matching, Life Insurance options, Disability coverage, paid time-off, EAP, and more. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova 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 Vernova 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 For candidates applying to a U.S. based position, the pay range for this position is between $88,600.00 and $147,600.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on December 01, 2025. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, 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 Vernova 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 financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova 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 GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual. GE Vernova 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.

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 Fertility benefits 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.

Senior Mechanical-HVAC Engineer in the Advanced Manufacturing Division of Ramboll. Ramboll is actively seeking a Mechanical Engineer in our Binghamton, NY office. The selected candidate for this position will be expected to work across a wide range of mechanical engineering knowledge areas and have a desired focus area in heating, ventilation, and air conditioning related work. The successful candidate will be responsible for, but not limited to, the following: Performing design and engineering work in various areas of the mechanical discipline. The majority of the work will be related to heating, ventilation and Air Conditioning (HVAC); however, the candidate should also expect work in industrial piping, plumbing, central utility plants, compressed air systems, chilled water systems, steam systems, and fire protection. Coordinating with other engineering disciplines to produce final construction drawings and details associated with mechanical engineering projects. Developing conceptual designs and cost estimates for early stages of the project life cycle. Creating design drawings utilizing Revit 3D design software. Conducting or participating in investigative energy assessments to identify energy and cost savings measures. Assessing and designing building ventilation systems based on requirements for heat removal in industrial spaces and maintaining indoor air quality. Conducting spreadsheet analysis to assess the energy and cost savings of proposed energy conservation measures (ECMs) Utilizing building modeling software (HAP or Trane Trace) to determine envelope heat gains/losses and assess savings potentials of ECMs. Specifying mechanical equipment Designing plumbing and building utility piping systems Summarizing engineering results in written reports and/or presentations that are cohesive and of the highest quality. Visiting job sites as required for projects involving upfit of existing systems. A mix of day trips and overnight domestic trips should be expected. Adhering to the policies and standards set forth in the Ramboll's Project Execution Manual. Promoting and maintaining a safe working environment for all employees by adhering to Ramboll's Health, Safety, and Environmental procedures. Skills & Qualifications: B.S. in Mechanical Engineering or greater 5+ years of experience in engineering and design of HVAC systems Licensed professional engineer strongly preferred Ability to foster a creative engineering environment Strong communication skills, (both in written and verbal) Ability to work across a wide range of areas within the mechanical engineering discipline Strong computer skills in the Microsoft Office suite of programs Experience with AutoCAD and Revit design software preferred Work at the heart of sustainable change with Ramboll in the Americas Ramboll is a global architecture, engineering, and consultancy company. As a foundation-owned people company, founded in Denmark, we believe that the purpose of sustainable change is to create a thriving world for both nature and people. So, that's where we start - and how we work. Our history is rooted in a clear vision of how a responsible company should act and being open and curious is a cornerstone of our culture. Ramboll in the Americas has thousands of experts working across more than 70 offices. Ramboll experts deliver innovative solutions across Environment & Health, Water, Energy, and Planning & Urban Design. Equality, Diversity, and Inclusion Equality, diversity, and inclusion are at the heart of what we do. At Ramboll, we believe that diversity is a strength and that different experiences and perspectives are essential to creating truly sustainable societies. We are committed to providing an inclusive and supportive work environment where everyone is able to flourish and reach their potential. We also know how important it is to achieve the right balance of where, when, and how much you work. At Ramboll, we offer flexibility as part of our positive and inclusive approach to work. We invite applications from candidates of all backgrounds, regardless of age, disability or medical condition, gender identity, marriage and domestic partnership, pregnancy and maternity, race, ancestry, or national origin, religion or belief, sex and sexual orientation, military service and veteran status, or any other protected characteristic. Ramboll wants to ensure opportunities are accessible to candidates with disabilities. So, please let us know if there are any changes we could make to the application process to make it more comfortable for you. You can contact us at [email protected] with such requests. Salary Transparency Statement At Ramboll, your base pay is only part of your overall total compensation package. At the time of this posting, this role is likely to be compensated at an annual rate between $79,000. And $100.000. Actual pay may be more or less than the posted range, depending on numerous factors, including experience, geographical location, internal equity, market conditions, education/training and skill level, and does not include bonuses, overtime, or other forms of compensation or benefits. Additional Information All your information will be kept confidential according to EEO guidelines.

EvolutionaryScale's mission is to develop artificial intelligence to understand biology for the benefit of human health and society, through open, safe, and responsible research, and in partnership with the scientific community. Over the next ten years AI will transform biological design, making molecules and entire cells programmable. We will develop the foundation models for biology that enable this. To continue to move the field forward in this emerging area, we prioritize individuals who have shown excellence and creativity in their respective domains over specific domain expertise. Having both biology and AI expertise is great, but not a requirement. Our team does both deep research and product development, not only building the frontier biological AI models in the field but also putting them in the hands of the researchers at the forefront of the life sciences. This fundamentally requires elite engineers and scientists working together to solve big research and product challenges. We are building a world class multi-disciplinary team spanning AI research, engineering, biology research, and business roles, which requires strong communication and collaboration across roles. The EvolutionaryScale team is based in two locations: San Francisco and New York. We believe in flexibility around work schedules and locations, but expect that our team members will work half of the days or more of most weeks from one of our two offices. 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 The salary range for this position is $150,000 to $350,000 per year, plus a competitive equity package. Compensation package will vary based on job-related skills, experience, and knowledge. The compensation package also includes comprehensive medical, dental, and vision benefits.

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. You will: Report into the TLM for the Learned Metrics Team 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 2+ 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: 4+ 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$204,000-$259,000 USD

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!

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 Oct 31st, 2025. 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, for applicants who are not U.S. lawful permanent residents, U.S. Citizens, or have been granted asylee or refugee status (i.e., not a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3), otherwise known as a U.S. Person), employment will be contingent on the ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government._ **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.

GE Vernova's industrial robotics engineer works on the advancement of robotics manufacturing technology for industrial domain, ultimately contributing to the Energy Transition by electrifying the world and decarbonizing the energy sector. As an industrial robotics engineer, you will play a key role in the development and continuous improvement of advanced robotic solutions for the manufacturing footprint of GE Vernova. In this role, you will be responsible for defining, developing and evolving robotic solutions for several manufacturing processes (i.e., inspection, material handling, etc. ) using digital vision and robotics. You will be responsible to develop specific applications and tools to support and extend the capabilities of our robotics group, using the latest technologies and standard module programming methodologies. Play an active role in the automation and development of innovative work tools, aimed at optimizing processes and improving operational efficiency. You will provide technical support for existing applications, identifying and resolving issues to ensure optimal performance of the various robotic systems. You will develop standard machine vision modules using existing computer vision libraries, to solve industrial inspection and robotic manipulation challenges. Be passionate about robotics, with strong experience in programming and systems architecture, solid experience in machine vision, able to work effectively in a team and motivated by the constant desire to learn and optimize processes through advanced technological solutions. It will be necessary to travel abroad as needed between 10% and 20% of your time. As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business's mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future. Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova's businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy-focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy. Job Description Qualifications/Requirements: * Bachelor's degree in electrical engineering, computer engineering, automated production engineering, robotics, computer science or other related specialization * Have a minimum of 5 to 7 years of relevant experience in building and deploying robotic systems in the context of manufacturing equipment and processes * Have a minimum of 5 years of experience in the applied use of machine vision algorithms in industrial environments * Proficiency in robot programming * Proficiency in one or more of these languages: Python/C/C++ * Proficiency in one or more of these vision programming environments: Halcon, Cognex * Have experience in the manufacturing sector * Knowledge of Keyence, Cognex, Basler, CCS products. * Knowledge of PLC programming * Experience in selecting components for an industrial vision system (lighting, optics, image sensor) * Experience in the field of image processing applied to the manufacturing sector. * Experience working in automation with FANUC industrial robots * Legal authorization to work in the US is required. We will not sponsor individuals for employment visas, now or in the future, for this position opening. * Must be willing to work out of an office located in Niskayuna, NY * Must be 18 years or older * You must submit your application for employment on the careers page at ************************* to be considered Desired Characteristics: * Experience with UR industrial robots, * Experience with factory automation systems * Experience with automating various manufacturing processes The salary range for this position is $85,600 - $140,000 USD, annually. The specific pay offered may be influenced by a variety of factors, including the candidate's education and skill set. This position may also be eligible for a sign on incentive and new hire equity grant based on meeting certain eligibility criteria.This position will remain posted until at least July 25th, 2025. GE provides a comprehensive benefits package that provides access to plans which support the overall wellbeing of our employees and their dependents. These benefits include, but are not limited to, health care coverage (medical, dental, vision, pharmacy), a retirement plan that includes Company Retirement Savings and a 401K with Company matching, Life Insurance options, Disability coverage, paid time-off, EAP, and more. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova 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 Vernova 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 For candidates applying to a U.S. based position, the pay range for this position is between $88,600.00 and $147,600.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on December 01, 2025. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, 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 Vernova 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 financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova 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 GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

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.