Machine Learning Applied Researcher - Speech, Vision and Audio
Cambridge, Massachusetts, United States · On-site
Senior$11B raised
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you…
Skills: Machine Learning, Deep Learning, Pytorch, Self-supervised Learning, Synthetic Data Generation
Machine Learning Applied Researcher - Speech, Vision and Audio
Cambridge, Massachusetts, United States · On-site
Senior+$11B raised
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you…
Skills: Machine Learning, Deep Learning, Pytorch, Self-supervised Learning, Synthetic Data Generation
Cambridge, Massachusetts, United States · Remote OK
$139k–$251k/yr
Senior$5.2B raised
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Company Description By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise…
Skills: Software engineering, Generative AI, Data science, Machine learning, Natural language processing
Minimum qualifications: Bachelor's degree in Computer Science or a related field, or equivalent practical experience. 15 years of software engineering experience, building and working with large-scale distributed systems…
Skills: Distributed Systems, Networking, AI Infrastructure, Kubernetes, Layer 7 Protocols
Who We Are Flagship Pioneering is a biotechnology company that invents and builds platform companies that change the world. We bring together the greatest scientific minds with entrepreneurial company builders and assemb…
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COMPANY DESCRIPTION Extuitive is a Flagship Pioneering–backed startup reimagining product innovation for the AI era. Our mission is to revolutionize go to market for planning and execution for the agentic age. Based in C…
COMPANY DESCRIPTION Extuitive is a Flagship Pioneering–backed startup reimagining product innovation for the AI era. Our mission is to revolutionize go to market for planning and execution for the agentic age. Based in C…
What if… you could join an organization that creates, resources, and builds life sciences companies that invent breakthrough technologies in order to transform health care and sustainability? COMPANY DESCRIPTION Expediti…
Overview Alnylam Pharmaceuticals is seeking a highly technical and strategic Director of Artificial Intelligence to lead the expansion of AI capabilities across the Research organization. This role will establish and lea…
Your Impact at LILA We are seeking a computational materials scientist to discover and optimize materials for electro-optic and photonic technologies. The role centers on understanding how composition, structure, defects…
Staff Research Engineer, Scientific Computing and ML/Physics Infrastructure
London, England, United Kingdom · On-site
$224k–$294k/yr
Senior$551M raised
Your Impact at LILA Lila Sciences is seeking a Research Engineer, Scientific Computing and ML/Physics Infrastructure to help turn promising research tools into robust, scalable systems. This role bridges research and pro…
Your Impact at LILA Lila Sciences is scaling its Scientific Superintelligence platform, and we’re building the finance backbone to match. As the Finance Business Partner for our AI/ML and Infrastructure teams, you’ll par…
Your Impact at LILA We are seeking an Enterprise Account Lead, Chemicals to define how Fortune 500 energy, manufacturing, and chemical companies engage with the world's first platform for scientific superintelligence. Yo…
Skills: Enterprise sales, Account management, Business development, Technical sales, Chemistry
Scientist II / Senior ML Scientist, Cofolding and Structure-Aware ML
London, England, United Kingdom · On-site
$228k–$358k/yr
Senior$551M raised
Your Impact at LILA Lila Sciences is seeking a Machine Learning Scientist, Cofolding and Structure-Aware ML to train next-generation cofolding models for drug discovery. This role is focused on improving models that reas…
Skills: Machine learning, Deep learning, Cofolding, Protein-ligand modeling, Representation learning
San Francisco, California, United States · On-site
$204k–$310k/yr
Senior$551M raised
Your Impact at LILA You'll own two connected but distinct areas. First, you'll decide which new scientific domain capabilities the Lila model should gain and how to build them — the right mix of reinforcement-learning en…
Your Impact at LILA We are seeking an Enterprise Account Lead, Materials to define how Fortune 500 energy, manufacturing, and materials companies engage with the world's first platform for scientific superintelligence. Y…
Scientist II / Senior ML Scientist, Data-Efficient Learning for Drug Discovery
London, England, United Kingdom · On-site
$228k–$358k/yr
Senior$551M raised
Your Impact at LILA Lila Sciences is seeking a Machine Learning Scientist, Data-Efficient Learning for Drug Discovery to build models and learning strategies for settings where data is scarce, expensive, and intentionall…
Skills: Machine learning, Data-efficient learning, Drug discovery, Active learning, Meta-learning
Your Impact at LILA You will be the program owner for Physical AI — the shared infrastructure our autonomous labs run on. Working across multiple engineering teams, you'll turn the platform roadmap into a sequenced, depe…
Your Impact at LILA Lila Sciences is seeking a Computational Biophysics Scientist to help ensure that our AI agents can use biophysics tools in ways that are scientifically correct, reliable, and useful for drug discover…
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Full-time
bachelor degree, postgraduate degree
Posted 8d ago
~40 hrs/week
Responsibilities
The researcher will design and improve state-of-the-art deep learning models while implementing novel machine learning algorithms. They will collaborate across teams to solve complex, high-risk challenges and deliver production-quality solutions.
Requirements
Candidates must have a BS in Computer Science, Electrical Engineering, or a related field with experience in academic or industry research. Proficiency in Pytorch and a strong foundation in deep learning theory are required, with a preference for advanced degrees and a proven publication record.
Full job description
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product. Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple’s customers every single day.
Description
We are looking for a talented and experienced applied ML researcher who can both research new capabilities and develop frontier models using cutting-edge methods. In this role, you will take on high-risk, high-reward challenges - researching, designing, and improving state-of-the-art deep learning models trained on unique data, implementing novel machine learning algorithms, and developing solutions to problems that don't have obvious answers. Your scope will encompass various ML subfields and modalities, combining ideas from different fields to solve unique challenges and deliver solutions adopted broadly across teams.
Minimum Qualifications
BS in Computer Science, Electrical Engineering, or a related field - or equivalent practical experience.
Experience in academic or industry research.
Experience working with Pytorch.
Preferred Qualifications
MS or PhD in Computer Science, Electrical Engineering, or a related field.
Strong foundation in deep learning theory and hands-on experience training large-scale models.
Deep knowledge in one or more of: self-supervised learning, synthetic data generation, large language model training, or automatic speech recognition.
Experience working with multimodal data (e.g., images, audio, time-series, or sensor fusion).
Strong analytical and problem-solving skills; ability to translate research ideas into production-quality code.
Resilience and persistence - comfort with experimentation cycles where many attempts fail before one succeeds.
Publication record at top-tier ML venues (NeurIPS, ICML, ICLR, Interspeech, ICASSP, etc.).
Multidisciplinary background spanning fields such as neuroscience, physics, signal processing, or mathematics. Experience collaborating with distributed teams across time zones.
Related keywords
Machine LearningDeep LearningPytorchSelf-supervised LearningSynthetic Data GenerationLarge Language ModelsAutomatic Speech RecognitionMultimodal DataSensor FusionSignal ProcessingComputer ScienceElectrical EngineeringNeurosciencePhysicsMathematicsNeurIPS
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own.
Apple is an equal opportunity employer that is committed to inclusion and diversity. Visit apple.com/careers to learn more.
Offices: 1 Apple Park Way, Cupertino, California 95014, US
Based on 358 listings with disclosed salaries, most software jobs in Cambridge, MA pay between $100k–$251k per year. Individual offers vary with seniority, company size, and specialization.
How many Software jobs are open in Cambridge, MA right now?
There are currently 433 open software positions in Cambridge, MA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Software roles in Cambridge, MA?
Companies currently hiring include Akamai Technologies, Lila Sciences, Google, MORSE Corp, Draper, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Software jobs in Cambridge, MA?
Yes — 211 of the 433 open software positions offer remote or hybrid work (68 remote, 143 hybrid).
How do I apply for Software jobs in Cambridge, MA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.