Jobbörse
Finde Jobs in deiner Nähe – ob vor Ort, hybrid oder remote.- Ähnliche Jobs zu: (Jr.) Machine Learning (ML) Developer
(Jr.) Machine Learning (ML) Developer
Laminar LLCSomerville
Our pay ranges are established per Pave Compensation Software. We’re also proud to offer equity in our fast-growing startup and one of the most comprehensive benefits packages among startups at our st
Co-op/Intern Developer, Machine Learning
KinaxisOttawaAbout Kinaxis Are you looking to join an innovative, market-leading company where you can truly elevate your career? At Kinaxis we are serious about culture, we are serious about technology, we are se
Data-Intensive Python/SQL Developer with Machine Learning Experience
The Cypress GroupNew YorkData-Intensive Python/SQL Developer with Machine Learning Experience Job Title: Quant Developer (Python/SQL) with Machine Learning Transition Location: Lower Manhattan, New York City Employment Type:
Machine Learning Engineer, WWPS ProServe, Data & Machine Learning (DML)
AmazonArlingtonMachine Learning Engineer, WWPS ProServe, Data & Machine Learning (DML) Job ID: 10394704 | Amazon Web Services, Inc.Candidate must be a US Citizen with an active TS/SCI security clearance.Overview The
Machine Learning Engineer
ChevronHoustonOverview Chevron is accepting online applications for the position Machine Learning Engineer through 09 09, 2025 at 11:59 p.m. (Central Time). Chevron is looking for a Machine Learning Engineer who ca
Machine Learning Engineer
ConfidentialHoustonThe Machine Learning Engineer plays a vital role in designing and implementing advanced models and infrastructure that drive quantitative research and trading strategies. This position focuses on buil
Machine Learning Lead
Coin FlowUnited StatesAbout CoinflowCoinflow is the next-generation payment service provider revolutionizing global financial infrastructure with stablecoins, AI-driven fraud prevention, and instant settlement. Coinflow en
Machine Learning Engineer
Focus Financial Partners Inc.United StatesPosition SummaryWe are seeking a skilled Machine Learning Engineer with approximately three years of hands-on experience designing, deploying, and maintaining production-grade machine learning systems
Machine Learning Engineer
Stackruit Ltd.New YorkBe an NLP Rockstar at Quora! (Machine Learning Engineer – Remote)Do you dream of using cutting‑edge AI to unlock the power of human knowledge?Quora, a massive global platform for knowledge sharing, is
Machine Learning Researcher
Valence AISan FranciscoWe are looking for an ML researcher who will be responsible for designing, training, and testing data pipelines and ML models while collaborating with current developers on existing models and codebas
Machine Learning Engineer
AppleCupertinoCupertino, California, United States HardwareImagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences p
Machine Learning Engineer
Colgate-PalmoliveRochesterRequisition ID 174332 -Posted - Analytics - United States - New York - New York - Colgate-Palmolive - Travel - up to 10% of time - On-siteNo Relocation Assistance OfferedJob Number #174332 - New York,
Machine Learning Engineer
PhysicsXUnited StatesAbout usPhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.We are building an AI-driven simulation
Machine Learning (ML) Bioengineer
Lawrence Livermore National LaboratoryLivermoreReference #: REF8195C Job Code: SES.2 Science & Engineering MTS 2 / SES.3 Science & Engineering MTS 3 Organization: Engineering Position Type: Career Indefinite Security Clearance: Anticipated DOE Q c
Machine Learning Engineer
NYU Langone HealthNew YorkPosition Summary We have an exciting opportunity to join our team as a Engineer II - Applied AI.As a ML Engineer, you will support the implementation of diverse Generative AI and Machine Learning init
Machine Learning Engineer
Reyes Coca-Cola BottlingNilesPosition ResponsibilitiesDesign, build, and maintain Continuous Integration/Continuous Development (CI/CD) pipelines for machine learning models Deploy and manage ML models in production environments
Machine Learning Engineer
GitHubUnited StatesAbout GitHubGitHub is the world's leading platform for agentic software development - powered by Copilot to build, scale, and deliver secure software. Over 180 million developers, including more than
AI/ML - Machine Learning Engineer
DexianUnited StatesIn-Person Interview Required!AI/ML Engineer Atlanta, GA 6 + MonthsRole Summary: Build scalable, reusable AI products using RAG, multi-agent systems, and NLP on GCP or Azure.Key Responsibilities: Devel
Senior Machine Learning Engineer
BrahmaNew YorkJob Description:We are looking for a Gen AI Researcher for Audio to join our team and help develop next-generation voice synthesis models. You'll research and build deep learning systems that can gene
Machine Learning Intern (Singapore)
TetraMem IncSan JoseAbout the Role We are seeking a Software Intern to support the development of tools, frameworks, and applications that enable neural network models to run efficiently on TetraMem’s novel analog comput
Machine Learning Engineering Director
U.S. BancorpUnited StatesMachine Learning Engineering DirectorAt U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the comm
Senior Machine Learning Engineer
ExaCare AIUnited StatesAbout the RoleWe are looking for aSenior Machine Learning Engineer, MLOpsto help operationalize and scale our machine learning systems. This is anengineering-focused rolecentered on building the workf
Machine Learning Video Engineer
AppleUnited StatesMachine Learning Video EngineerWant to work on cutting edge technology that keeps the customer front and center? The Video Engineering group at Apple is responsible for creating the image/video core t
Distinguished Machine Learning Engineer
GEICOUnited StatesDistinguished EngineerGEICO is seeking a Distinguished Engineer (AI Platforms) to join our AI organization. This individual will serve as one of the most senior technical authorities driving the archi
Senior Machine Learning Engineer
Integral Ad ScienceUnited StatesSenior Machine Learning EngineerIntegral Ad Science (IAS) is a global technology and data company that builds verification, optimization, and analytics solutions for the advertising industry and we're
(Jr.) Machine Learning (ML) Developer
- Somerville, Massachusetts, United States
- Somerville, Massachusetts, United States
Über
At Laminar (formerly H2Ok Innovations), we're leading the charge in cleantech innovation, reshaping process industrials and manufacturing to drive operational efficiency and sustainability for our world’s most foundational industries. Powered by our Laminar AI Co-pilot models and state-of-the-art sensors, our solutions optimize facility performance across various processes, including process manufacturing, production, water management, energy reduction, and waste minimization. Based at Greentown Labs, North America's premier cleantech innovation community, we're a woman-founded startup backed by renowned investors like Greycroft, Construct Capital, 2048 Ventures, and Flybridge Capital. Our groundbreaking technologies have earned accolades and adoption from industry giants like Unilever, The Coca-Cola Company, ABinBev, and Mitsubishi Electric. We're committed to unlocking untapped data for our customers, empowering them to gain a competitive edge and create Industry 4.0.
Transforming our most foundational sectors of society is hard. Very hard. But we’re building an empire. And empire building is not easy. It’s deeply fulfilling, and you will learn and grow tremendously while driving sustainable impact globally with some of the largest players that make everything we eat, use, and wear. Our culture is to foster extraordinary growth within our teammates. We believe in autonomy, ownership, empowerment, demanding excellence, being mission-driven. We believe in creativity, authenticity, and extraordinary growth. We’re looking for relentless, ambitious, creative, and exceptional people to join our team and build the factory of the future.
What You Will Do Build machine learning models that usher in the next generation of data-driven, fluid-based industrial processes powered by Laminar's proprietary spectral sensors and software platform.
Design and run experiments to evaluate and select machine learning models that are generalizable, accurate, and robust to day-to-day process variability.
Work with spectral and multi‑modal sensor data, building preprocessing and feature extraction pipelines that can derive insights from noisy, real‑world sensors.
Support model reliability by developing monitoring (and correction systems, when applicable) for model drift, sensor drift, and process anomalies.
Develop performant ML infrastructure and tooling in collaboration with ML/Data Scientists and software team members.
Work across problem domains including chemometrics, hybrid modeling, and self-supervised learning. Modeling tasks include distribution modeling, drift and anomaly detections, similarity analyses, and continuous calibration.
About You Required:
Proficient in at least one Python ML framework (PyTorch, JAX, TensorFlow).
Fluent with Python packages for numeric computing and data workflows (NumPy, Polars, Pandas, scikit-learn).
An engineer who favors clean, testable code and has a proven track record of delivering high-quality work on a timeline.
An executor who thrives with direction and can independently complete technical project objectives.
Someone detail-oriented who has a natural curiosity about data. You are enthusiastic to test hypotheses, understand in detail how our models work, and run physical experiments to improve our modeling capabilities.
Preferred:
Chemical engineering, process engineering, or manufacturing domain knowledge (highly valued).
Experience with cloud environments (AWS, GCP) and/or Databricks.
Familiarity with spectral data, time‑series modeling, or sensor-driven ML.
Familiarity with Bayesian modeling and probabilistic reasoning.
Experience building real products (ideally utilizing machine learning) and practicing user‑centric design.
Benefits:
Direct impact on product and culture.
Comprehensive benefits package including Medical, Dental, Vision, Life Insurance, Disability, Transportation benefit, Health and Wellness benefit, and more.
401(k) plan with employer matching.
Equity.
Competitive salary and bonus opportunities.
Dynamic and inclusive work environment.
Opportunities for growth and professional development.
Access to Greentown Labs' extensive network of cleantech startups.
Why Laminar (formerly H2Ok Innovations)? Impact: Work on cutting‑edge AI and sensor tech that’s already transforming how factories use water, energy, and chemicals. Join a tight‑knit, ambitious team where your contributions can reshape the industry.
Growth: Join a fast‑growing startup where you’ll have the opportunity to shape our content strategy. We value fostering extraordinary growth in our teammates.
Innovative Culture: Work in a high-performance environment that values empowerment, creativity, ownership, autonomy, innovation, excellence, passion, and continuous growth.
Sustainability Focus: Play a key role in promoting sustainability and Industry 4.0 advancements in manufacturing.
Build the intelligence layer powering the next generation of industrial efficiency – with a team that moves fast and delivers real impact.
* We recently updated our domain to runlaminar.com. Please ensure you add the runlaminar.com domain to your safe senders list to ensure you receive our communications.
#J-18808-Ljbffr
Sprachkenntnisse
- English
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.